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BMJ Open logoLink to BMJ Open
. 2020 Dec 13;10(12):e036852. doi: 10.1136/bmjopen-2020-036852

Impact of obstetric unit closures, travel time and distance to obstetric services on maternal and neonatal outcomes in high-income countries: a systematic review

Reem Saleem Malouf 1,, Claire Tomlinson 2, Jane Henderson 1, Charles Opondo 1, Peter Brocklehurst 1, Fiona Alderdice 1, Angaja Phalguni 2, Janine Dretzke 2
PMCID: PMC7735086  PMID: 33318106

Abstract

Objectives

To systematically review (1) The effect of obstetric unit (OU) closures on maternal and neonatal outcomes and (2) The association between travel distance/time to an OU and maternal and neonatal outcomes.

Design

Systematic review of any quantitative studies with a comparison group.

Data sources

Embase, MEDLINE, PsycINFO, Applied Social Science Index and Abstracts, Cumulative Index to Nursing and Allied Health and grey literature were searched.

Methods

Eligible studies explored the impact of closure of an OU or the effect of travel distance/time on prespecified maternal or neonatal outcomes. Only studies of women giving birth in high-income countries with universal health coverage of maternity services comparable to the UK were included. Identification of studies, extraction of data and risk of bias assessment were undertaken by at least two reviewers independently. The risk of bias checklist was based on the Cochrane Effective Practice and Organisation of Care criteria and the Newcastle-Ottawa scale. Heterogeneity across studies precluded meta-analysis and synthesis was narrative, with key findings tabulated.

Results

31 studies met the inclusion criteria. There was some evidence to suggest an increase in babies born before arrival following OU closures and/or associated with longer travel distances or time. This may be associated with an increased risk of perinatal or neonatal mortality, but this finding was not consistent across studies. Evidence on other maternal and neonatal outcomes was limited but did not suggest worse outcomes after closures or with longer travel times/distances. Interpretation of findings for some studies was hampered by concerns around how accurately exposures were measured, and/or a lack of adjustment for confounders or temporal changes.

Conclusion

It is not possible to conclude from this review whether OU closure, increased travel distances or times are associated with worse outcomes for the mother or the baby.

PROSPERO registration number

CRD42017078503.

Keywords: epidemiology, obstetrics, public health


Strengths and limitations of this study.

  • This review is the first to synthesise systematically the current evidence on the impact of closure of obstetric units and of travel distance and travel time to obstetric units on neonatal and maternal outcomes.

  • Rigorous systematic review methodology was applied including a sensitive search strategy to ensure all relevant evidence was identified.

  • Heterogeneity across included studies precluded any form of meta-analysis.

  • A paucity of evidence on a number of outcomes, and methodological concerns for some studies limited conclusions that could be drawn.

Background

Closure of small obstetric units (OUs) and centralisation of obstetric services in larger units has been proposed to increase levels of consultant obstetrician cover to improve safety and limit costs. However, closure of OUs or conversion of OUs to midwifery-led units/community-based services potentially leads to an increase in travel distance or time for women in labour from their home to the nearest OU. Increases in travel time could potentially increase the risk of adverse birth outcomes.

Travel time and distance are widely used as measures to explore the geographical accessibility of health services.1 In a systematic review,2 the association between travelling further to healthcare facilities and having worse health outcomes was established, but the review did not include studies of maternity care. The impact of OU closure and increase in travel time/distance to the OU on perinatal and maternal outcomes have not been systematically assessed. One review3 evaluating the effects of regionalisation of perinatal services has been published. This concluded that regionalisation programmes appeared to be correlated with improvements in perinatal outcomes but that the evidence was weak. A narrative review4 included 10 studies that explored travel time and distance to and between maternity services and adverse birth outcomes to inform the consultation on maternity services in Wales. The review was limited to studies reported in English and there was no clear association between travel distance or time and adverse birth outcomes

Therefore, uncertainty remains about the association between OU closure, prolonged time or distance to OUs and adverse perinatal outcomes. Specifically, there is a rise in the risk of babies born before arrival (BBA, also referred to as unplanned out of hospital births). Being BBA is more common before term and has been reported to be associated with higher perinatal mortality (PM).5 Conversely, Lasswellet et al 6 found neonatal mortality (NM) was reduced when services were configured to ensure very preterm infants are born in a large maternity hospital with neonatal intensive care unit (level III NICU). In addition to mortality, Apgar scores (a standardised measure of the physical condition of a newborn infant) and neonatal admission to intensive care provide an indication of perinatal infant health.

The impact on maternal outcomes is also unclear. There are concerns that low-risk women who give birth in larger hospitals may experience more interventions, for example, increased frequency of caesarean section (CS).7 Along with CS, evidence on maternal mortality (MM) and maternal birth complications such as postpartum haemorrhage (PPH) and maternal blood transfusion, was also sought in this review to identify the potential impact of OU closure on maternal outcomes.

In this review, we aimed to systematically identify, critically appraise and synthesise the evidence relating to: (1) The effect of OU closures on maternal and neonatal outcomes (compared with the surrounding area or a comparable population) and (2) The association between travel distance or time to an OU and maternal and neonatal outcomes.

Review method

The Meta-Analyses and Systematic Reviews of Observational Studies in Epidemiology (MOOSE) reporting guideline was followed.8

Criteria for considering studies for this review

Types of studies

Any quantitative study design with a comparison group was eligible for inclusion. Studies were included from 1990 onwards. The year 1990 was chosen as a cut-off date because significant advances were made in neonatal care in the early 1990s, such as surfactant therapy, assisted ventilation, prophylactic infection control and antenatal steroid therapy, which impacted on the delivery of maternity services.9 The quantitative components of mixed methods studies were also eligible. Studies were included if they:

  • Explored the impact of closure of an OU on maternal or neonatal outcomes either in a before-and-after comparison (same population catchment area), or a geographical comparison of different areas (comparable populations).

And/or

  • Compared maternal and neonatal outcomes after an OU closure and retention or creation of midwifery led units to replace the OU.

  • Explored the effect of travel time and/or distance on maternal and neonatal outcomes providing at least two travel times and/or distances from women’s homes to the nearest OU.

  • Explored maternal and neonatal outcomes following maternal transfer from planned or unplanned home birth to the nearest maternity centre.

We included studies of women giving birth in high-income, the Organisation for Economic Co-operation and development (OECD) countries with universal health coverage (UHC) of maternity services comparable to the UK. The list of OECD countries is shown in online supplemental appendix 1. UHC is defined as healthcare that meets everyone’s right to access high quality essential health services where and when they need them without financial difficulty.10

Supplementary data

bmjopen-2020-036852supp001.pdf (51.1KB, pdf)

Types of exposures

OU closure: the closure of an OU was compared with no closure of an OU for the same or comparable geographical catchment areas prior to the closure. For a study comparing different geographical areas affected by the closure of an OU, the least affected area was used as a control group. For the purpose of this review, we used the definition of an OU used in the Birthplace Research programme in England,11 which defined an OU as ‘a clinical location in which care is provided by a team, with obstetricians taking primary professional responsibility for women at high risk of complications during labour and birth. Midwives offer care to all women in an OU, whether or not they are considered at high or low risk, and take primary responsibility for women with straightforward pregnancies during labour and birth. Diagnostic and treatment medical services including obstetric, neonatal and anaesthetic care are available on site, 24 hours a day’11 (P12).

Travel distance or time to the nearest OU: a shorter travel distance or time was compared with a longer travel distance or time. We used the definition of a shorter or a longer time or distance as defined by the included studies. When a study compared several different travel times or distances to the nearest OU, those with the shortest travel distance or time were used as the control group.

The following types of studies were excluded:

  • Studies comparing maternal and or neonatal outcomes based on hospital size, level of NICU, type of hospital or model of care (eg, caseload midwifery care vs consultant care).

  • Studies on regionalisation of neonatal care (number of centres with NICUs).

  • Studies where a proximity rather than the actual travel time or travel distance was given (eg, rural vs urban, remote vs very remote areas).

  • Studies which did not report at least one of the outcomes.

Review outcomes

The following outcomes were predefined in the study protocol:

Maternal outcomes

Maternal mortality (MM), caesarean section (CS) (overall, emergency or intrapartum), severe perineal trauma (including third and fourth degree tears), postpartum haemorrhage (PPH), maternal admission to intensive care units (ICU) and maternal blood transfusion.

Neonatal outcomes

Stillbirth (SB) (overall or intrapartum), neonatal mortality (NM), PM, infant mortality (IM), babies BBA, neonatal unit admission (NNU), Apgar score and hypoxic-ischaemic encephalopathy (HIE).

Review methods

A comprehensive search strategy was developed in collaboration with an information specialist (NR). We searched Embase, Medline, PsycINFO, Applied Social Science Index and Abstracts and Cumulative Index to Nursing and Allied Health databases (from 1990 to February 2019). We also searched the grey literature in the databanks of British Library EThOS, Open Grey and ProQuest Dissertations & Theses Global. National Health Service (NHS) Trusts and Health Boards in the UK were also contacted where we had been able to identify an OU closure to request information about any evaluations that were conducted. The references of eligible studies and relevant reviews were checked to identify additional studies not retrieved by the search. Searches were based on index terms and text words relating to the population/setting (eg, maternity service, pregnancy, neonatal) and exposures (eg, travel/distance or closure/regionalisation). Due to the variable nature of terms and indexing used, the strategy was kept broad by using a range of alternate terms and not limiting by outcome. No language restriction was applied. A sample search strategy for MEDLINE is shown in online supplemental appendix 2.

Supplementary data

bmjopen-2020-036852supp002.pdf (56.2KB, pdf)

At least two reviewers (RSM, CT, AP, FA and JH) independently screened the references for relevance against the review eligibility criteria using Eppi-reviewer software (V.4).12 Full-text study screening was also performed by at least two reviewers (RSM, CT, CO, JH and FA). Disagreements regarding study eligibility were resolved through discussion and consensus within the review team. We contacted authors of relevant studies published as abstracts for further information. Data extraction and risk of bias assessment were undertaken by at least two reviewers (RSM, CT, CO, JH, FA and JD). The risk of bias checklist was adapted from the Effective Practice and Organisation of Care (EPOC)13 and the Newcastle-Ottawa scale (for case–control studies).14 Risk of bias assessment included selection of study groups, measurement of exposure and outcomes, missing data and appropriateness of analysis (eg, logistic regression analysis). For case–control studies, selection and comparability of cases and controls were also considered. The review team rated the quality of evidence for each domain in the tool as low, high or unclear risk of bias, or yes, no and unclear in meeting quality criteria.

Results were synthesised narratively and the key findings tabulated. The included studies varied in their study design, categories of exposure, outcomes reported, whether adjusted or unadjusted results were presented and factors adjusted for. This clinical and methodological heterogeneity across the included studies precluded any form of meta-analysis. Prespecified subgroups were risk status of woman (low vs high), parity, gestational age, UK studies compared with non-UK studies and planned versus unplanned CS; formal subgroup analyses were, however, not possible. Evidence regarding OU closure, travel distance and travel time is reported separately, and by outcome. We have highlighted where crude (unadjusted) ORs (cOR) and adjusted ORs (adjOR) have been reported.

Patient and public involvement

We involved our parent, patient and public involvement (PPPI) Stakeholders Network, to explore which outcomes were important from a maternal perspective. The dissemination of findings to stakeholders will be through plain language summaries developed with members of our PPPI stakeholder network.

Search results

Searches of bibliographic databases and other sources from 1990 to February 2019 yielded 13 271 unique references and the steps of study selection are presented in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart (figure 1). The eligibility of 295 full-text articles were assessed independently. Two hundred and sixty articles were excluded for various reasons, including: studies conducted in low-income/middle-income countries, comparing different models or levels of maternity care, assessing women’s transfer from primary to secondary maternity centres, or not providing quantifiable measures of travel time/distance (full list available from authors). Thirty-one studies, reported in 35 articles, met the review eligibility criteria (figure 1). One study5 included information on both OU closure and travel distance. Ten studies provided information on OU closures, 7 studies compared different travel distances from women’s homes to the nearest OU and 15 studies compared different travel times from women’s homes to the nearest OU.

Figure 1.

Figure 1

PRISMA flow diagram. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

Review results

Evidence from OU closures

A detailed description of the ten included OU closure studies is presented in table 1. Three studies were from the UK, with two reported as abstracts only15 16 and one an unpublished data series from East Lancashire Hospitals NHS Trust, UK (East Lancashire Hospitals NHS Trust, unpublished data 2017). There appeared to be overlap between populations reported in two studies (East Lancashire Hospitals NHS Trust, unpublished data 2017) and Fleming et al.15 Three studies were from Scandinavia,7 17 18 three from Canada19–21 and one from France.5

Table 1.

Description of included studies—OU closures

Author, year, country Study design and setting Study objectives Study period Eligibility criteria Participant characteristics Description of exposure (change over time) Services context information Review outcomes
Perinatal Maternal
UK studies
Fleming/East Lancashire study
Fleming15
2013, UK
(abstract)
Retrospective analysis pre and post service reconfiguration
East Lancashire maternity services
To examine the effect of major service reconfiguration on CS rates Time of reconfiguration:
November 2010
Time of analysis: January-June 2010 vs
January-June 2012
NR N: NR
Characteristics: NR
Service reconfiguration
Pre-change: 2 OUs
Post-change:
1 OU +3 MW-led units
Universal state provision of maternity care. Approx 7000 births/yr at the new unit. NR CS
East Lancashire Hospitals NHS Trust 2017, UK (unpublished- data) Retrospective population-based analysis of routinely collected data of service reconfiguration
East Lancashire, Blackburn and Burnley
To review outcomes after centralisation of services on the Burnley general hospital site Time of reconfiguration: November 2010
Time of analysis: 2009–2017
NR 2009–2017
n=53 870 births (2010 data excluded)
Characteristics: NR
Amalgamation of 2 OUs
Prechange: 2 OUs
Postchange:
1 OU plus two birth centres
Universal state provision of maternity care. Changes driven by pressure on staff rotas, European Working Time Directive, and desire to maintain high quality service. 6000–7000 births/yr at new unit. BBA; SB; NM NR
Mackie et al 16, 2014,
UK
(abstract &
(unpublished data)
Retrospective analysis pre- and post- service reconfiguration
Pennine Acute Trust: Royal Oldham Hospital, North Manchester General Hospital and Fairfield General Hospital
To assess the effect of the amalgamation of 2 OUs to form a ‘super-centre’ with increased consultant labour ward cover Time of OUs amalgamation 2011
Time of analysis: prechanges 2010–2011 vs postchanges 2011–2013
NR Preamalgamation n=5422
Postamalgamation n=5046
Characteristics: NR
Service reconfiguration
Prechange: 2 OUs
Postchange: 1 OU
Universal state provision of maternity care. Approx 5000 births/year at the new unit. SB; NM;
BBA
Maternal mortality;
Emergency CS;
third and fourth degree perineal tea;
Maternal transfer to ICU
Other European Studies
Blondel et al 5, 2011, France* Retrospective population-based analysis of routinely collected data, OU closure
Across France
To report on BBA incidence in relation to distance from OU and the closure impact on different sociodemographic groups Time of OU closure: 2003 and 2006
Time of analysis:
2005–2006
Included:
Singleton births
Excluded:
Municipalities if >8% missing data, or high OOH rates. Departments excl. if >20% births already excl.
n=1 349 751 births;
OOH n=5740
N Births 1349 to 751
Age (yrs) (n):
<20–26 152
20–24 - 188 350
25–29 - 427 462
30–34 - 442 089
35–39 - 213 534
40+ - 52 164
Nullip (n) 774 460
SES: occupation professional (n) 217 045 intellectual 325 746
admin 266 000
retail 122 727
skilled 49 201
unskilled 84 664
none 184 368
Ethnicity, education: NR
Closure of maternity unit
Pre-change: no of OUs NR
Postchange:
Closure of units within 15 km radius of home, number of units closed NR
Centralisation of births in larger units due to safety concerns, financial pressure, efficiency savings, and staff shortage BBA NR
Hemminki et al 18, 2011, Finland Retrospective population-based analysis of routinely collected data, OU closure
Across Finland and a specific district Uusimaa
To describe centralisation trend, unplanned out of hospital births, perinatal mortality (PM), health and birth outcomes in areas served by different levels hospitals Time of OU closure: 1991–2008
Time of data analysis: Finland 1991–2008;
Uusimaa district 2004–2008
Inclusion:
All births
Exclusion:
NR
1991–2008 n=474 419
Characteristics: NR
Centralisation of births, maternity units no declined
Pre-change: 49 OUs in 1991
Post-change: 34 OUs in 2008
Universal access to maternity care, minimal private care. Pre- and postnatal care decentralised, birth hospital-based service, care of high-risk pregnancies centralised. Mean no births/hospital increased from 1339 to 1733 over study period. BBA NR
Engjom et al 7, 2014, Norway Retrospective population-based study, 3 cohort and two cross-sectional studies, OU closure
Across Norway
To assess the availability of OUs, the risk of unplanned delivery outside OU and maternal morbidity Cohort: 1979–2009
Cross-sectional: 2000 and 2010
Time of OUs closure: 1979–2009
Time of analysis: Cohort: 1979–2009
Cross-sectional: 2000 and 2010
Included:
Age 15–49 years, known place of birth, GA ≥22 wks and/or bthwt ≥500 g
Excluded:
Missing maternal address, planned home birth
1979–1983 n=252 621
2004–2009 n=409 432
Characteristics: NR
Declined in no of OUs in Norway
Prechange: 95 OUs in 1979
Post-change: 51 OUs in 2009
Universal access to maternity care; relatively dispersed population PM CS
Grytten et al 17, 2014, Norway Retrospective population-based analysis of routinely collected data, OU closure
Across Norway
To study whether neonatal and infant mortality (IM) were independent of the type of hospital in which the delivery was carried out Time of closures: between 1979 and 2005
Time period for analysis: 5 years pre and postclosure for each hospital
Inclusion:
All births
Exclusion: NR
n=33 677
Characteristics: NR
Centralisation
/OU closures No of local hospitals fell from 43 to 26 between 1979 and 2005. 17 maternity wards in local hospitals closed
Prechange:
22 hospitals with neonatal department; 43 local hospitals; 30 maternity clinics
Postchange:
22 hospitals with neonatal department; 26 local hospitals, 10 maternity clinics
Universal free access to maternity care. Low-risk births in local hospitals, high risk in central/regional hospitals. Births in central/regional hospitals increased from 65%–81% over study period. NM; IM NR
Canadian Studies
Le Coutou et al 21, 1990, Canada Retrospective population-based analysis of routinely collected data, OU closure
Montreal metropolitan area
To describe the evolution of obstetric practice in Montreal metropolitan area before/ after closure of units Time of closure: 1984–1985
Time of analysis: 1981–1985
Inclusion:
All births
Exclusion: NR
1981–1984 n=1 28 688
Characteristics: NR
7/13 university hospitals, 5/13 specialist hospitals, 4/13 smaller units closed
Prechange: 39 units in 1981
Postchange:16
State provision of maternity care. Closures due to budgetary restrictions. NR Overall CS
Allen et al, 22 2004, Canada Retrospective population-based analysis of routinely collected data,
OU closure
Eastern, Northern, Western, and Central in Nova Scotia
To evaluate the effect of hospital closures on critical obstetrical interventions and perinatal outcomes in rural communities Preclosure: 1988–1993
Post-closure: 1996–2002
Time of analysis: 1988–1993 vs 1996–2002
Inclusion:
All births
Exclusion: Delivery <20 weeks; bthwt <500 g; triplets+; major congenital anomaly
1988–93 n=69 213
1996–2002 n=63 510
Range %
Age >34 yrs: 5.6–14.8;
Nullip 39.4–46.8
Twins 1.0–1.3
Ethnicity, socioeconomic status, education: NR
1988–1993
=27 hospitals
1996–2002
=19 hospitals
Reduction in maternity units from 42 to 11 between 1970 and 2002
Pre-change: 42 units in 1970
Post-change: 11 units in 2002
State provision of maternity care. Reduction in no of units and physicians due to financial constraints and difficulty maintaining clinical competence and confidence. SB; Foetal/neonatal mortality (NM) NR
Hutcheon et al 20, 2017, Canada Retrospective population based analysis of routinely collected data, OU closure
25 communities within British Columbia, Canada
To examine the effect of obstetric service closures on intrapartum outcomes 1998–2014
Time of closures: between 2000 and 2012
Time of analysis: 1998–2014
Inclusion:
All births recorded in British
Columbia Perinatal Data Registry
(99% of deliveries)
Exclusion:
Communities close to larger metropolitan areas and or uncertainty about dates of service closures.
Pre-closure
n=5796
Median maternal age 27 years (IQR 23–31);
Nullip 39.3%
Post-closure
n=6153
Median maternal age 28 years (IQR 24–32);
Nullip 40.7%
Ethnicity, Socioeconomic status, education: NR
Centralisation
/OU closures Between 1998 and 2014 one-third of hospitals stopped providing maternity services
Pre-change:
21 hospitals with obstetric services
Postchange:
Obstetric services closed in same 21 hospitals
State provision of maternity care. Centralisation of obstetric services, majority of hospital closures in low-volume hospitals BBA; perinatal/ NM; NNU admission Overall CS; Maternal mortality; third/4th degree perineal tear, blood transfusion, maternal admission to ICU

*Blondel et al 5 is also included in travel distance.

Approx, approximately; BBA, Born before arrival; bthwt, birth weight; CS, caesarean section; excl, excluded; GA, gestational age; ICU, intensive care unit; MW, midwife; NHS, National Health Services; NNU, neonatal unit; NR, not reported; Nullip, nulliparous; OU, obstetric unit; SB, stillbirth; SES, socioeconomic status; wo, without; Yr, year.

Seven studies compared adverse birth outcomes before and after centralisation of services, which included closure of varying numbers of OUs. All three studies from the UK15 16 and (East Lancashire Hospitals NHS Trust, unpublished data 2017), examined the impact of the amalgamation of two OUs. Four studies were published after 201415–17 20; the earliest was from 1990.21 Three studies included all births17 18 21; the other studies varied in their eligibility criteria, for example, restricting the analysis to singletons pregnancies, live births, various gestational ages and birth weight, hospital births or location. Reporting of eligibility criteria and participant characteristics across studies was inconsistent (table 1).

Risk of bias assessment

Risks of bias related to a lack of reporting of whether changes over time (other than closure/reconfiguration) could have influenced the findings, with only two17 20 of 10 studies reporting that temporal variation was adjusted for in the analysis (table 2). Further, 5 out of 10 studies either did not adjust results for potential confounding factors or provided insufficient information to know whether this was undertaken. Five out of 10 studies did not provide sufficient information to gauge the completeness of data. Half of the studies reported and used appropriate data analysis methods. Other potential sources of bias (eg, relating to selection, exposure and outcome) were less of a concern due to the use of routinely collected registry data before and after the closure and the objective nature of most outcomes.

Table 2.

Risk of bias—obstetric unit (OU) closure studies

Author, year, country Study sample selection bias Bias in measurement of exposure Bias in measurement of outcomes Attrition bias Analysis method reported and appropriate Closure independent of other changes over time Potential confounders adjusted for and listed
UK Studies
Fleming/East Lancashire study
Fleming15, 2013,
UK
(abstract)
LOW
All births in East Lancashire Maternity Services catchment
LOW
All births in catchment area affected by the closure
No of OUs closed reported
LOW
Objective outcome
(CS)
UNCLEAR
Not reported
UNCLEAR
None reported
UNCLEAR
None reported
UNCLEAR
None reported
East Lancashire Hospitals NHS Trust 2017, UK (unpublished data) UNCLEAR
Unpublished data, no details
UNCLEAR
Unpublished data, no details
LOW
Objective outcomes (BBA, SB, NM)
UNCLEAR
Unpublished data, no details
UNCLEAR
Unpublished data, no details
UNCLEAR
Unpublished data, no details
UNCLEAR
Unpublished data, no details
Mackie et al 16, 2014,
UK
(abstract & unpublished)
LOW
Data from Maternity Information System
LOW
All births in catchment area affected by the closure.
No of OUs closed reported
LOW
Objective outcomes (SB, NM, BBA, MM, ICU admission, perineal tears)
UNCLEAR
Not reported
UNCLEAR
None reported
UNCLEAR
None reported
UNCLEAR
None reported
Other European Studies
Blondel et al 5, 2000, France* LOW
Data from birth certificates
LOW
No of OUs closed reported
LOW
Objective outcome (BBA)
LOW
11% excluded due to missing data
LOW
Analysis method was described and appropriate, a multi-level model analysis
UNCLEAR
None reported
LOW
Adjusted for maternal age, occupational category and rurality
Hemminki et al 18, 2011, m Finland LOW
Data from Finnish medical birth register
LOW
All births in catchment area affected by the closure
No of OUs closed reported
LOW
Objective outcome (BBA)
LOW
Births with missing information excluded (<0.05%)
LOW
Analysis method was described and appropriate, a regression model with adjusted analysis
UNCLEAR
None reported
LOW
Adjusted for Parity, plurality, age, socioeconomic status and smoking
Engjom et al 7, 2014, Norway LOW
Data from Medical Birth Registry of Norway
LOW
All births in Norway affected by the closure
No of OUs closed reported
LOW
Objective outcome (BBA)
LOW
All units report to Medical Birth Registry
LOW
Analysis method appropriate, a logistic regression model, crude and adjusted results given
UNCLEAR
None reported
LOW
Adjusted for maternal age, parity, education and partner status
Grytten et al 17, 2014, Norway LOW
Data from Medical Birth Registry of Norway
LOW
All births in Norway
No of OUs closed reported
LOW
Objective outcomes
(NM, Infant mortality)
LOW
All maternity units report to Medical Birth Registry
Unclear
Difference-in-difference statistical method used, but reporting of findings were unclear
LOW
Adjusted for trend in infant outcomes based on local hospitals that were not closed.
LOW
Maternal age, immigrant status, level of education, marital status, predisposing medical factors and characteristics of the birth
Canadian Studies
Le Coutour et al 21, 1990, Canada LOW
Data from MED-ECHO - regional data collection system
LOW
All births in catchment area
No of OUs closed reported
LOW
Objective outcome
(CS)
UNCLEAR
No information
UNCLEAR
No details on data analysed method
UNCLEAR
None reported
HIGH
No adjustment
Allen et al, 22 2004, Canada LOW
Data from Nova Scotia Atlee Perinatal Database
LOW
All births in catchment area affected by the closure
No of OUs closed reported
LOW
Objective outcomes (SB, NM)
UNCLEAR
Population based dataset but no information about missing data
LOW
Analysis method appropriate and data from logistic regression models were reported
UNCLEAR
None reported
LOW
Maternal age, smoking and maternal diseases
Hutcheon et al 20, 2017, Canada LOW
Data from British Columbia Perinatal registry
LOW
All births in catchment area affect by the closure
No of OUs closed reported
LOW
Except for third/4th degree tears.
Objective outcomes (BBA, PM, NM, ICU admission, CS, MM, blood transfusion, Maternal admission to ICU)
LOW
>99% complete
LOW
Used a within-community fixed-effects design and Poisson regression
LOW
Using difference in difference analysis which separates the effect of the closure from underlying time trends of reported outcomes
HIGH
No adjustment

*Blondel et al 2011 included in travel distance and OU closure.

BBA, born before arrival; CS, caesarean section; ICU, intensive care unit; MM, maternal mortality; NHS, National Health Service; NM, neonatal mortality; PM, perinatal mortality; SB, stillbirth.

Findings

A summary of maternal and neonatal outcomes is presented in table 3.

Table 3.

Outcomes—obstetric unit (OU) closure

Outcomes Author, Year, Country Exposure and comparator groups Participants (N, n, %) Findings
MATERNAL OUTCOMES
Maternal mortality (MM) Mackie et al 16, 2014, UK (unpublished data) Before and after amalgamation of 2 OUs Year Deliveries (n=15 349) MM n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5354 1 (0.02) Pre 2010–2011 1 NR
Post 2011–2013 9995 1 (0.01) Post 2011–2013 0.54 (0.03 to 8.56) NR
Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) Closure status Deliveries (n=11 949) Maternal deaths n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 <5 (<0.09) Preclosure NR NR
Postclosure 6153 <5 (<0.08) Postclosure NR NR
No significant difference pre/post closure in adverse events during labour and delivery
Caesarean section (CS) (overall or intrapartum) Fleming et al 15, 2013, UK (abstract) Before and after closure of OU in 2010 Closure status Deliveries (n=NR) CS n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure, early 2010 NR (NR) 26.1 Preclosure, early 2010 NR NR
Postclosure, 2012 NR (NR) 21.5 Postclosure, 2012 NR NR
Proportions of CS presented with no other data.
Engjom et al 7, 2014, Norway 2000 compared with 2009 during which time number of OUs declined from 47 to 41 Year Deliveries (n=2,177,934) CS n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2000 58 632 7653 (13.10) Pre 2000 1 NR
Post 2009 61 895 10 154 (16.41) Post 2009 1.31 (1.27 to 1.35) NR
Le Coutour et al 21, 1990, Quebec, Canada Before and after closure of OUs between 1982 and 1983 Year Deliveries (n=64 274) CS n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 1981 32 807 5852 (17.84) Pre 1981 1 NR
Post 1984 31 467 6214 (19.7) Post 1984 1.13 (1.09 to 1.18) NR
Hutcheon et al 20, 2017, British Columbia, Canada Before and after OUs, closure (1998–2014) Closure status Deliveries (n=11 949) CS n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 1387 (23.93) Preclosure 1 NR
Postclosure 6153 1579 (25.70) Postclosure 1.10 (1.01 to 1.19) NR
Emergency caesarean section (CS) Mackie et al 16 2014, UK (abstract only) Before and after amalgamation of two OUs Year Deliveries (n=15 349) Emergency CS n(%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5354 739 (13.80) Pre 2010–2011 1 NR
Post 2011–2013 9995 1322 (13.23) Post 2011–2013 0.95 (0.86 to 1.05) NR
Severe perineal trauma (third or fourth degree tear) Mackie et al 16, 2014, UK (unpublished data) Before and after amalgamation of two OUs Year Deliveries (n=15 349) 3rd & fourth n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5354 133 (2.48) Pre 2010–2011 1 NR
Post 2011–2013 9995 276 (2.76) Post 2011–2013 1.11 (0.90 to 1.37) NR
Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) Closure status Deliveries (n=11 949) third or fourth degree tear n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 136 (2.40) Preclosure 1 NR
Postclosure 6153 174 (2.82) Postclosure 1.21 (0.96 to 1.52) NR
Postpartum haemorrhage No studies
Maternal admission to ICU Mackie et al 16, 2014, UK (abstract only) Before and after amalgamation of two OUs Year Deliveries (n=15 349) n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5354 18 (0.34) Pre 2010–2011 1 NR
Post 2011–2013 9995 27 (0.27) Post 2011–2013 0.80 (0.44 to 1.46) NR
Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) Closure status Deliveries (n=11 949) ICU admission n Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 <5 Preclosure NR NR
Postclosure 6153 <5 Postclosure NR NR
Maternal Blood transfusion Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) Closure status Deliveries (n=11 949) Blood transfusion n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 53 (0.91) Preclosure 1 NR
Postclosure 6153 46 (0.75) Postclosure 0.82 (0.55 to 1.21) NR
NEONATAL OUTCOMES
Stillbirth (SB) East Lancashire Hospitals NHS Trust, 2017, UK (unpublished data) Before and after amalgamation of two obstetric units (OUs) in 2010 Year Deliveries (n=53 870) SB n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2009 6492 75 (1.16) Pre 2009 1 NR
Post 2011–2017 47 378 333 (0.70) Post 2011–2017 0.61 (0.47 to 0.78) NR
Stillbirth>24 weeks
Allen et al, 22 2004, Nova Scotia, Canada Before and after closure of OUs Year Deliveries (n=1 32 723) SB n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 1988–93 69 213 291 (0.42) Pre 1988–1993 1 NR
Post 1996–2002 63 510 214 (0.34) Post 1996–2002 0.80 (0.67 to 0.96) NR
Mackie et al 16 2014, UK (unpublished data) Before and after amalgamation of 2 OUs Year Deliveries (n=15 552) SB n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5422 29 (0.53) Pre 2010 −2011 1 NR
Post 2011–2013 10 130 60 (0.59) Post 2011–2013 1.11 (0.71 to 1.73) NR
Neonatal mortality (NM) East Lancashire Hospitals NHS Trust, 2017, UK (unpublished data) Before and after amalgamation of two obstetric units in 2010 Year Deliveries (n=53 870) NM n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2009 6492 4 (0.06) Pre 2009 1 NR
Post 2011–2017 47 378 39 (0.08) Post 2011–2017 1.33 (0.81 to 2.17) NR
NM not defined
Mackie et al 16, 2014, UK (unpublished data) Before and after amalgamation of 2 OUs Year Deliveries (n=15 552) NM n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5422 6 (0.11) Pre 2010–2011 1 NR
Post 2011–2013 10 130 9 (0.90) Post 2011–2013 0.80 (0.29 to 2.26) NR
Grytten et al 17, 2014, Norway Before and after 13 hospital closures Year Deliveries (n=33 677) NM n (%) Year Crude OR (95% CI) Adjusted OR(95% CI)
5 years before 16 297 NR 5 years before NR NR
5 years after 17 380 NR 5 years after NR NR
No statistically significant difference
Perinatal mortality (PM) Engjom et al 7, 2014, Norway 2000 compared with 2009 during which time number of OUs declined from 47 to 41 Year Deliveries (n=2,177,934) PM n (/1000 births) Year Crude OR (95% CI) Adjusted OR(95% CI)
Pre 2000 58 632 124 (2.11) Pre 2000 1 NR
Post 2009 61 895 99 (1.60) Post 2009 0.76 (0.58 to 0.98) NR
PM (Intrapartum & neonatal death<24 hours, both live & stillborn)
Allen et al 22, 2004, Nova Scotia, Canada Before and after closure of OUs Years Deliveries (n=1 32 723) PM n (%) Years Crude OR (95% CI) Adjusted OR (95% CI)
Pre 1988–1993 69 213 422 (0.61) Pre 1988–93 1 NR
Post 1996–2002 63 510 278 (0.43) Post 1966–2002 0.75 (0.64 to 0.87) NR
Foetal/neonatal mortality not defined
Infant mortality Grytten et al 17, 2014, Norway Before and after 13 hospital closures Year Deliveries (n=33 677) IM n (%) Years Crude OR (95% CI) Adjusted OR (95% CI)
5 years before 16 297 NR 5 years before NR NR
5 years after 17 380 NR 5 years after NR NR
No significant difference in infant mortality
Born before arrival (BBA) East Lancashire Hospitals NHS Trust, 2017, UK (unpublished data) Before and after amalgamation of two obstetric units Year Deliveries (n=53 870) BBA n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2009 6492 25 (0.39) Pre 2009 1 NR
Post 2011–2017 47 378 341 (0.72) Post 2011–2017 1.88 (1.25 to 2.82) NR
Mackie et al 16, 2014, UK (unpublished data) Before and after amalgamation of 2 OUs Year Deliveries (n=15 349) BBA n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 2010–2011 5354 11 (0.21) Pre 2010–2011 1 NR
Post 2011–2013 9995 26 (0.26) Post 2011–2013 1.28 (0.63 to 2.60) NR
Blondel et al 5, 2011, France OU closure within 15 km radius 2003–2006 Yrs 2003–2006 Deliveries (n=1,349,751) BBA n (/1000 births) Yrs 2003–2009 Crude OR (95% CI) Adjusted OR (95% CI)
No closure 1 001 858 4531 (4.52) No closure 1 1
Closure within 15 km radius 347 893 1209 (3.47) Closure within 15 km radius 0.77 (0.72 to 0.82) 0.91 (0.84 to 1.00)
Engjom et al 7, 2014, Norway 1979–83 compared with 2004–09, number of emergency OUs declined from 47 to 41 Year Deliveries (n=6 62 053) BBA n (%) Year Crude OR (95% CI) Adjusted OR (95% CI)
Pre 1979–83 252 621 984 (0.39) Pre 1979–83 1 1
Post 2004–09 409 432 2832 (0.69) Post 2004–09 1.8 (1.6 to 1.9) 2.0 (1.9 to 2.2)
Hemminki et al 18, 2011, Finland Centralisation of hospitals over years 1991–2008 Year Births (N) Unplanned BBA n(/1000) Planned or unplanned BBA n(/1000) Year Crude OR (95% CI)
Pre 1991 65 632 68 (1.0) Pre 1991 1
Post 2004–2008 56 873 222 (3.76) 243 (4.1) Post 2004–2008 4.14 (3.16 to 5.41)
Total N (1991–2008)=1 22 505
Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) Closure status Deliveries (n=11 949) Unplanned BBA n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 30 (0.5) Preclosure 1 NR
Postclosure 6153 109 (1.8) Postclosure 3.47 (2.31 to 5.20) NR
Neonatal unit admission (NNU)>2 days or transfer within 24 hours of birth to ICU facility for newborn >/=2500 g Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) Closure status Deliveries (n=11 949) NNU admission n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 68 (1.17) Preclosure 1 NR
Postclosure 6153 28 (0.46) Postclosure 0.39 (0.25 to 0.60) NR
Apgar score (5 min Apgar score<7) Hutcheon et al 20, 2017, British Columbia, Canada Before and after OU closure (1998–2014) compared with communities unaffected by closure Closure status Deliveries (n=11 949) 5 min Apgar score<7 n (%) Closure status Crude OR (95% CI) Adjusted OR (95% CI)
Preclosure 5796 71 (1.22) Preclosure 1 NR
Postclosure 6153 85 (1.28) Postclosure 1.13 (0.82 to 1.55) NR
Hypoxic Ischaemic Encephalopathy (HIE) No studies

ICU, intensive care unit; NR, not reported.

Maternal outcomes
Maternal mortality (MM)

In the two studies that reported MM,16 20 the number of deaths (<5) was too low to allow comparisons between the preclosure and postclosure groups.

Caesarean section (CS) (overall or intrapartum)

Total CS rates were reported in four studies.7 15 20 21 One UK study15 reported a decline in CS rates following the amalgamation of two units from 26.1% to 21.5%.

A Norwegian study,7 reported an increase in CS rates from 13.1% to 16.4% following OU closure, (cOR 1.31, 95% CI 1.27 to 1.35) as did two Canadian studies21 (cOR 1.13, 95% CI 1.09 to 1.18) and (cOR 1.10, 95% CI 1.01 to 1.19).20 No adjusted results were reported.

Emergency CS

Emergency CS rates were reported in one UK study,16 which found no difference before/after the amalgamation of two OUs (cOR 0.95, 95% CI 0.86 to 1.05).

Severe perineal trauma (third or fourth degree tear)

Two studies16 20 reported this outcome and found no statistically significant difference between the before/after closure groups. The incidence of the outcome in both studies was low (<3%).

PPH—No studies reported this outcome.

Maternal admission to ICU

Two studies16 20 found no significant difference before/after the amalgamation of two OUs in the number of women requiring admission to ICU (cOR 0.80, 95% CI 0.44 to 1.46).16 The numbers in one study20 were too small (<5) to allow a comparison.

Maternal blood transfusion

One study20 found no significant differences before/after OU closure (cOR 0.82, 95% CI 0.55 to 1.21). The incidence of the outcome was low (<1% of women).

Neonatal outcomes
Stillbirth (SB) (overall or intrapartum)

Three studies examined the impact of OU closure on SB. One unpublished UK study (East Lancashire Hospitals NHS Trust, unpublished data 2017) showed a statistically significant reduction in SB over the period after the amalgamation of two units (cOR 0.61, 95% CI 0.47 to 0.78). Similar findings were seen in one study from Canada22 during post closure years (cOR 0.80, 95% CI 0.67 to 0.96). A third study from the UK16 found no difference in SB rates after OU closure.

Neonatal mortality (NM)

Three studies reported this outcome. Two studies from the UK16 and (East Lancashire Hospitals NHS Trust, unpublished data 2017) showed no statistically significant difference in the rate of NM in the years after OU closure (cOR 1.33, 95% CI 0.81 to 2.17; cOR 0.80, 95% CI 0.29 to 2.26). A study from Norway17 also reported no difference (no OR presented).

Perinatal mortality (PM)

Two studies reported this outcome. In a study from Norway,7 PM was significantly lower following OU closure (cOR 0.76, 95% CI 0.58 to 0.98). A Canadian study22 also reported a significant reduction in PM after OU closure (cOR 0.75, 95% CI 0.64 to 0.87).

Infant mortality (IM)

One study17 reported this outcome, IM rates were ‘not statistically elevated’ after the closure of thirteen hospitals in Norway.

Born before arrival (BBA)

Six studies reported this outcome, with four suggesting a statistically significant increase in BBA following OU closure. Data from East Lancashire Hospitals NHS Trust (East Lancashire Hospitals NHS Trust, unpublished data 2017) showed the BBA rate almost doubled over the 10-year period (cOR 1.88, 95% CI 1.25 to 2.82). Studies from Norway7 and Finland18 also found that the BBA rate increased over a similar period (cOR 1.8, 95% CI 1.6 to 1.9 and cOR 4.14, 95% CI 3.16 to 5.41, respectively). A Canadian study20 found that the BBA rate trebled over a 16-year period (cOR 3.47, 95% CI 2.31 to 5.20). One UK study16 found no statistically significant change (cOR 1.28, 95% CI 0.63 to 2.60) and in one French study,5 there was weak evidence of a small reduction in the adjusted risk of BBA in communities affected by OU closure (adjOR 0.91, 95% CI 0.84 to 1.00).

Neonatal unit (NNU) admission

One Canadian study20 suggested a significant reduction in NNU admission following OU closure (cOR 0.39, 95% CI 0.25 to 0.60).

Apgar score

One Canadian study20 found no statistically difference in 5 min Apgar score of less than 7 before and after OU closure (cOR 1.13, 95% CI 0.82 to 1.55).

Hypoxic-ischaemic encephalopathy (HIE)

No studies reported this outcome.

Evidence from travel distance studies

Description of included studies

Seven studies described the effect of travel distance to the nearest OU on maternal and neonatal outcomes (table 4). All were published in full between 1991 and 2015. The earliest study23 was conducted in the UK, three more recent studies were conducted in France,5 24 25 and one each in Norway,26 Finland27 and Canada.28 Four were retrospective population-based cohort studies, and three were case–control studies. The eligibility criteria varied across studies. Pasquier et al 24 included a group with special needs in the form of babies with congenital malformations. Only singleton live births were included in two studies.5 28

Table 4.

Description of included studies—travel distance

Author, year, country Study design and setting Study objectives Study period Eligibility criteria Participant characteristics Description of exposures travel distance Services context information Review outcomes
Perinatal Maternal
UK Studies
Bhoopalam et al 23,1991, UK Case–control study, 2 OUs To establish BBA prevalence and women at risk of BBA, and morbidity and mortality associated with BBA births 1983–1987 Included cases: Women and their BBA babies Included controls: Two controls for each BBA case, one random (next born in the same hospital), one matched (next born in same hospital matched by GA and BW) Excluded: BW <500 g N(BBAs)=137, 1 twins All n=398 Age yrs (n): <21 (69) 21–35 (339) >35 (27) Nullips (107) Ethnicity (n): European(191) Asian (101) Other (16) SES and education: NR Distance (km): <2 2–7 >7 Universal state provision, 2 units six miles apart, serving rural areas of Warwickshire BBA NR
Other European Studies
Pasquier et al 24, 2007, France Retrospective, population-based cohort, 3 Level-III maternity wards with neonatal surgical centre, Rhône-Alpes Region To examine maternal origin, distance to the nearest maternity ward with a neonatal surgical centre, on perinatal diagnosis, elective termination of pregnancy, delivery in an adequate place and neonatal mortality (NM) for pregnancies with severe malformations 1990–1995 and 1996–2000 (two periods separated due to changes in prenatal screening) Included: Fetuses with omphalocele, gastroschisis, diaphragmatic hernia or spina bifida that required surgical repair Excluded: Chromosomal anomalies fetuses and babies without anomalies n=706 infants n=554 (analysed) Age: yrs (n, %) <21 (15, 2) 21–35 (550, 82)>35 (106, 16) Ethnicity: (n, %) Western European (393, 76) Non-Western European (124, 24) Parity, SES and education: NR Distance (km): <11 11–50 >50 Distance to Level III maternity ward with NNU and a neonatal surgical centre, there were three in the Rhone-Alps Region NM NR
Blondel et al 5, 2011, France* Retrospective cohort, population based study, metropolitan France To calculate the incidence of BBA birth in relation to distance from maternity units and the impact of recent closure on different sociodemographic groups 2005–2006 Included: Singleton live births Excluded: Municipalities with >8% missing data, unrealistically high BBA births, Departments were excl. if >20% births already excl. n=1 517 599 livebirths n=1349 751(analysed) Age yrs - n<20–26 152 20–34 – 105 790 135–39 - 213 534 40+ - 52 164 Parity: Nullip n −774 460 SES n: Occupation professional- 217 045 Intellectual- 325 746 Admin- 266 000 Retail-122,727 Skilled- 149 201 Unskilled- 84 664 None- 84 368 Ethnicity nd education: NR Distance (km): <5 5–14 15–29 30-44 45+ Centralising births in larger units BBA; BBA by parity NR
Pilkington et al 25, 2014, France Retrospective, population-based cohort study, French National Vital Statistics registry from mainland France To investigate the impact of distance to closest maternity unit on perinatal outcomes 2001–2008, Stillbirth (SB) data 2002–2005 Included: All births Excluded: NR n=3 086 128 all births n=3 085 839 (analysed) Age yrs (n) <25–4 94 689 25–34 – 2 008 320 35–39 - 469,975 40+ - 113 144 Singleton pregnancy n=2 988 169 Multiple pregnancy: n=97 959 Parity, ethnicity and socioeconomic status and education: NR Distance (km): <5 5–14 15–29 30–44 ≥45 1998 to 2003, 20% of maternity units closed Mean distance to nearest maternity unit increased (6.6–7.2 km) SB; NM NR
Ovaskainen et al 27, 2015, Finland Case–control study, one centre, Tampere University Hospital To establish if BBA births increased over time, to identify risk factors associated with BBAs, also if BBAs babies were more prone to neonatal morbidities compared with those delivered in hospital 1996–2011 Included cases: Planned and unplanned BBA Included Controls: 2 controls for infant and mother for each BBA case Excluded: BBA with no information whether planned or unplanned Cases: BBAs (n=67 births): Age yrs (mean, SD) (range)- 29.0, 5.9 (15–47) Parity 1 (0–16) Controls: n=134 Plurality, ethnicity, education and SES: NR. Distance (km): <35 ≥35 Tampere University Hospital is the catchment area for 23 municipalities, 521 700 residents 5000 births/yr BBA NR
Fougner et al 26, 2000, Norway Case–control study, 14 municipalities, Oppland County To compare the experience and care of women who delivered during transport to hospital and women who delivered an hour after arriving to hospital 1989–1997 Included cases: Women who delivered their babies before arriving at hospital Included Controls: Women who delivered their babies with 1 hour after arriving at hospital Excluded: NR n=202 Cases: n=115 BBA women Parity n (%)- Nullips 15 (13%) Controls: n=87 women Parity- Nullips 18 (20%) age, ethnicity, education and SES: NR Distance (km): <12.88 ≥12.88 Oppland county: 4 hospitals BBA NR
Canadian Studies
Lisonkova et al 28, 2011, Canada Retrospective population-based cohort study, British Columbia To examine the association between rural residence and birth outcomes in older mothers 1999–2003 Included: Singleton mothers aged 35+ Excluded: Women with missing postcodes, babies with congenital anomaly n=29 698 women age >35 years parity n (%): Nullip 87 733 (0%) Low SES (n, %) (4385 14% 22.6 vs 3615, 13.7) Ethnicity n (%) first nation 826 (2.8%) Education: NR Distance (km): <50 50–150 >150 17 small maternity units (250–2500 births/yr) closed between 1999 and 2003 SB; perinatal mortality (PM); NNU admission ≥1 day All CS; Emergency CS

*Blondel et al 5 is also included in the OU closure.

adjOR, adjusted OR; BBA, born before arrival; BW, birth weight; CS, caesarean section; ICU, intensive care unit; NHS, National Health Services; NNU, neonatal unit; NR, not reported; OU, obstetric unit; SES, socioeconomic status.

Travel distance was estimated using geographical mapping software in all studies. However, only three studies5 24 27 measured the actual distance from women’s homes to the nearest OU. In two studies25 28 a central geographical point for the postal code or municipality was used to estimate distances and in one study the distance was self-reported.26 Additionally, the studies differed regarding their distance categories, which ranged from 2 to 150 km (table 4).

Risk of bias assessment

The main risk of bias concerns related to the measurement of exposure, as three studies25 26 28 did not calculate the distance from the woman’s home but used a central point instead or self-reported distance (table 5). Another study23 measured distance between women’s homes and hospital using a straight line. Further risk of bias related to a lack of comparability between study groups in the three case–control studies,23 26 27 a lack of adjustment for confounders in two studies and missing data in two studies.26 27 There were no risk of bias concerns relating to sample selection in the cohort studies or outcome measurement.

Table 5.

Risk of bias—travel distance

Author, year, country Study sample selection bias additional criteria for case– control studies Bias in measurement of exposure Bias in measurement of outcomes Attrition bias Analysis method reported and appropriate Potential confounders adjusted for and listed
UK studies
Bhoopalam et al 23, 1991, UK Case definition adequate YES From hospital records HIGH Distance measured in straight line from home address LOW Objective outcome (BBA) LOW 3/134 (2.2%) BBA cases and 10/274 (3.6%) excluded from distance analysis HIGH Descriptive analysis only HIGH No adjustments
Representative-ness of cases YES BBA cases from 2 hospitals over 5 years
Appropriate selection of controls YES two controls from same hospital
Definition of control appropriate YES The outcome (BBA) could not have occurred
Comparability of cases and controls NO Significant differences in maternal age, parity, ethnicity and antenatal booking
Other European Studies
Pasquier et al 24, 2007, France LOW Data from France Central-East malformation registry LOW GIS software used to estimate distance between maternal residence and nearest maternity ward with neonatal surgical centre LOW Objective outcomes (NM) LOW 12 births (0.03%) missing survival data LOW Method detailed and appropriate, univariate analysis & multiple logistic regression were reported LOW Adjusted for parity, ethnicity and other characteristics
Blondel et al 5, 2011, France* LOW Birth certificates LOW GIS software used to estimate distance to hospital from home LOW Objective outcome (BBA) LOW 11% of births excluded LOW Method detailed and appropriate, multilevel model was reported LOW Adjusted for maternal age, occupation, parity and other characteristics
Pilkington et al 25, 2014, France LOW French National Vital Statistics Registry HIGH Distance calculated from centre of municipality not home address, using road networks provided by the French National Geography Institute LOW Objective outcomes (SB, NM) LOW 10% missing for type of pregnancy and 17% for maternal age LOW Method detailed and appropriate, logistic regression analysis was reported LOW Adjusted for maternal age, plurality, unemployment rate, single parent households
Fougner et al 26, 2000, Finland Case definition adequate NO Data from a questionnaire HIGH Data for distance was self-reported in questionnaire LOW Objective outcome (BBA) HIGH Data from women who responded to questionnaire HIGH Descriptive analysis only HIGH No adjustment
Representative-ness of cases YES Cases from three hospitals in one county over 8 years
Appropriate selection of controls Yes Women who delivered their babies within 1 hour of arriving at hospital
Definition of control appropriate Yes Women with no BBA
Comparability of cases and controls Unclear
Ovaskainen et al 27, 2015, Finland Case definition adequate YES Medical records LOW Distance from women’s home calculated using web-based route planner LOW Objective outcome (BBA) High 13 out-of-hospital deliveries (19%) excluded as could not ascertain whether planned or not planned LOW Method detailed and appropriate, logistic regression data were given LOW Adjusted for single-mother, parity, and other characteristics
Representative-ness of cases YES Cases from one centre, but over 15 years
Appropriate selection of controls YES Births occurring immediately preceding and following case
Definition of control appropriate YES The outcome (BBA) could not have occurred
Comparability of cases and controls No Sig. differences for parity, partnership status, smoking, antenatal visits, labour duration and distance to delivery unit
Canadian studies
Lisonkova et al 28, 2011, Canada LOW Population-based study HIGH GIS used to calculate distance from postcode central point of residence to hospital; mostly using straight line distance LOW Objective outcomes (SB; PM); NNU admission) LOW 492 (1.7%) women excluded due to missing postcodes LOW Method detailed and appropriate, multivariate regression analysis reported LOW Adjusted for parity, single mother, low income, ethnicity and other characteristics

*Blondel et al 5 2011 included in travel distance & OU closure.

BBA, born before arrival; GIS, Geographical Information System; NM, neonatal mortality; NNU, neonatal unit; PM, perinatal mortality; SB, still birth; sigs, significant.

Findings

Maternal outcomes

Maternal mortality (MM)

In one case–control study from Finland,27 no maternal deaths were reported in either group (table 6).

Table 6.

Outcomes—travel distance

Outcomes Author, year, country Exposure groups Participants (N, n, %) Findings
Maternal outcomes
Maternal mortality Ovaskainen et al 27, 2015, Finland Travel distance (km): <35 ≥35 Groups N (201) NM n (%) No events in either group
<35 NR 0
≥35 NR 0
Caesarean section (CS) (overall or intrapartum) Lisonkova et al 28, 2011, Canada Travel distance (km): <50 50–150 >150 Groups N (29 698) CS n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<50 27 836 9099 (32.70) <50 1 NR
50–150 1534 464 (30.25) 50–150 0.89 (0.80 to 1.00) NR
>50 328 94 (28.70) >50 0.83 (0.65 to 1.05) NR
Emergency CS Lisonkova et al 28, 2011, Canada Travel distance (km): <50 50–150 >150 Groups N (9657) Emergency CS n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<50 9099 5378 (59.11) <50 1 NR
50–150 464 258 (55.60) 50–150 0.87 (0.72 to 1.05) NR
>50 94 52 (55.32) >50 0.86 (0.57 to 1.29) NR
Severe perineal trauma No studies
Postpartum haemorrhage No studies
Admission to ICU No studies
Blood transfusion No studies
Neonatal outcomes
Stillbirth (SB) Pilkington et al 25, 2014, France Travel distance (km): <5 5–14 15–29 30-44 ≥45 Groups N (30 859) (2002–2005) SB n (/per 1000) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<5 1 404 665 13 204 (9.4) <5 1 1
5–14 81–1775 6657 (8.2) 5–14 0.87 (0.85 to 0.90) Reported as RR 0.87 (NR)*
15–29 648 495 5188 (8.0) 15–29 0.85 (0.82 to 0.88) Reported as RR 0.85 (NR)*
30–44 186 537 1492 (8.0) 30–44 0.85 (0.81 to 0.90) Reported as RR 0.85 (NR)*
≥45 34 367 306 (8.9) ≥45 0.95 (0.84 to 1.06) Reported as RR 0.95 (NR)(NS)
Lisonkova et al 28, 2011, Canada Travel distance (km): <50 50–150 >150 Groups N (29 698) NM n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<50 27 836 150 <50 NR NR
50–150 1534 NR 50–150 NR NR
>150 328 NR >150 NR NR
OR NR. Authors noted SB rate was higher among women living 50–150 km and >150 km vs <50 km, no significant difference found after adjusting for confounders.
Neonatal mortality (NM) Pasquier et al 24, 2007, France Travel distance (km): <11 11–50 >50 Groups N (554) NM n (%) Groups Crude OR (95% CI) Adjusted OR(95% CI)
<11 239 NR <11 NR 1
11–50 156 NR 11–50 NR 0.98 (0.34 to 2.88)
>50 159 NR >50 NR 1.37 (0.49 to 3.86)
Pilkington et al25, 2014, France Travel distance (km): <5 5–14 15–29 30–44 ≥45 Groups N (6 202 918) (2001–2008) NM n(/per 1000) Groups Crude OR (95% CI) Adjusted RR (95% CI)
<5 2 808 068 7582 (2.7) <5 1 1
5–14 1 626 885 3416 (2.1) 5–14 0.78 (0.75 to 0.81) Reported as RR 0.91 (NR) *
15–29 1 316 329 2896 (2.2) 15–29 0.81 (0.78 to 0.85) Reported as RR 0.94 (NR)(NS)
30–44 381 288 801 (2.1) 30–44 0.78 (0.72 to 0.84) Reported as RR 0.9 (NR)*
≥45 69 787 154 (2.2) ≥45 0.82 (0.70 to 0.96) Reported as RR 0.96 (NR)(NS)
NM after BBA NM after BBA
Groups N (6 202 918)(2001–2008) NM n (/per 100,000) Groups Crude OR (95% CI) Adjusted RR (95% CI)
<5 2 808 068 115 (4.1) <5 1 1
5–14 1 626 885 65 (4.0) 5–14 0.98 (0.72 to 1.32) Reported as RR 1.1 (NR)(NS)
15–29 1 316 329 72 (5.5) 15–29 1.34 (0.99 to 1.79) Reported as RR 1.58 (NR)*
30–44 381 288 23 (6.0) 30–44 1.47 (0.94 to 2.30) Reported as RR 1.51 (NR)(NS)
≥45 69 787 7 (10.0) ≥45 2.45 (1.14 to 5.25) Reported as RR 3.68 (NR)*
Perinatal mortality (PM) Lisonkova et al 28, 2011, Canada Travel distance (km): <50 50–150 >150 Groups N (29 698) PM n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<50 27 836 221 (0.80) <50 1 1
50–150 1534 19 (1.24) 50–150 1.57 (0.98 to 2.51) 1.53 (1.10 to 2.12)
>150 328 8 (2.44) >50 3.12 (1.53 to 6.38) 3.06 (2.20 to 4.24)
Infant mortality (IM) No studies
Born before arrival (BBA) Bhoopalam et al 23, 1991, UK Travel distance (km): <2 2–7 >7 Groups N (398) cases and controls BBA cases n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<2 59 4 (6.80) <2 1 NR
2–7 249 88 (35.34) 2–7 7.52 (2.64 to 21.43) NR
>7 90 42 (46.70) >7 12.03 (4.02 to 36.01) NR
Blondel et al5 2011, France Travel distance (km): <5 5–14 15–29 30-44 >45 Groups N (1 359 756) BBA n (rate /1000 births) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<5 596 363 1849 (3.1) <5 1 NR
5–14 352 279 1395 (3.9) 5–14 1.28 (1.19 to 1.37) NR
15–29 296 734 1659 (5.6) 15–29 1.81 (1.69 to 1.93) NR
30–44 88 670 692 (7.8) 30–44 2.53 (2.32 to 2.76) NR
>45 15 705 182 (11.) 45+ 3.77 (3.23 to 4.39) NR
Parity 1 nd 2 n=152 426 Parity 3+ N=197 325
Groups Adjusted OR (95% CI) Adjusted OR (95% CI)
<5 1 1.73 (1.57 to 1.90)a
5–14 1.14 (1.03 to 1.27) 2.32 (2.04 to 2.63)
15–29 1.39 (1.24 to 1.57) 3.25 (2.84 to 3.71)
30–44 1.78 (1.55 to 2.05) 3.71 (3.13 to 4.41)
>45 2.47 (2.02 to 3.02) 6.46 (4.92 to 8.48)
Ovaskainen et al 27, 2015, Finland Travel distance (km): <35 ≥35 Groups N (201) BBA n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
BBA cases 67 NR <35 NR 1
Controls 134 NR ≥35 NR 5.02 (1.80 to 14.04)
<35 km NR NR
≥35 km NR NR
Fougner et al 26, 2000, Norway Travel distance (km): <12.88 ≥12.88 Groups N (202) cases and controls BBA n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<12.88 90 44 (48.90) <12.88 1 NR
≥12.88 112 71 (63.34) ≥12.88 1.81 (1.03 to 3.18) NR
Neonatal unit admission (NNU) Lisonkova et al 28, 2011, Canada Travel distance (km): <50 50–150 >150 Groups N (15 325) NNU n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<50 14 333 648 (4.80) <50 1 NR
50–150 815 32 (3.92) 50–150 0.86 (0.60 to 1.24) NR
>150 177 12 (6.80) >150 1.54 (0.85 to 2.77) NR
Apgar score No studies
HIE No studies

*Significant difference.

†Reference group: women with 1&2 parity and <5 km.

CS, caesarean section; GA, gestational age; HIE, hypoxic-ischemic encephalopathy; ICU, intensive care unit; NNU, neonatal unit; NR, not reported; NS, not significant; OR, odd ratio; RR, relative risk.

Caesarean section (CS) (overall or intrapartum)

One study from Canada28 found no statistically significant differences in CS rates with increasing distance (<50 k, 50–150 k, >150 k) based on both crude and adjusted results.

Emergency CS

The same study from Canada28 reported no significant difference in emergency CS rates between women living at different distances from an OU based on cORs.

Severe perineal trauma

No studies reported this outcome.

Postpartum haemorrhage (PPH)

No studies reported this outcome.

Maternal admission to ICU

No studies reported this outcome.

Maternal blood transfusion

No studies reported this outcome.

Neonatal outcomes

Stillbirth (SB) (overall or intrapartum)

Two cohort studies25 28 reported this outcome. A Canadian study28 included births to women aged over 35 years who lived <50 km, 50–150 km and >150 km from the OU. SB rates did not change by distance category in the adjusted analysis. A French study25 reported SB rates at different distances (<5 km, 5–15, 15–30, 30–44, 45+ km) from mother’s municipality of residence to the closest OU. The cORs showed women living at 30–44, 15–29 and 5–14 km from an OU had a statistically significantly lower rate of SB compared with women living <5 km from an OU (5–14 km vs <5 km, cOR 0.87, 95% CI 0.85 to 0.90; 15–29 km vs <5 km; cOR 0.85, 95% CI 0.82 to 0.88; 30–44 km vs <5 km, cOR 0.85, 95% CI 0.81 to 0.90). The findings still hold for the adjusted analysis (limited data reported). However, neither the crude nor the adjusted analysis showed a significant difference in risk of SB for individuals resident 45+ km from an OU compared with <5 km.

Neonatal mortality (NM)

Two French cohort studies24 25 reported this outcome. One study24 examined the distance from women’s homes to the nearest OU with neonatal surgical facilities for 706 fetuses with severe malformations. Analyses adjusted for malformation type, number of malformations, amniotic fluid anomaly, previous anomaly in the family and parity showed no association between NM and distance (<11 km vs 11–50 km, adjOR=0.89, 95% CI: 0.34, 2.88;<11 km vs >50 km, adjOR=1.37, 95% CI: 0.49, 3.86). The other study25 included all births and found that NM rates were significantly higher for women living <5 km compared with 5–44 km away from an OU25 (5–14 km vs <5 km, cOR 0.78, 95% CI: 0.75, 0.81; 15–29 km vs <5 km cOR 0.81, 95% CI: 0.78, 0.85; 30–44 km vs <5 km, cOR 0.78, 95% CI: 0.72, 0.84; ≥45 km vs <5 km, cOR 0.82, 95% CI: 0.70, 0.96). In this latter study, the NM of babies BBA was also explored. For the BBA group, there was a statistically significant increase in the risk of NM when women had to travel 45 km or more to an OU in comparison to <5 km (≥45 km vs <5 km, cOR 2.45, 95% CI 1.14 to 5.25).

Perinatal mortality (NM)

A study from Canada28 reported that PM risk increased with travel distance in an adjusted model (<50 km v 50–150 km adjOR 1.53, 95% CI 1.1 to 2.12; <50 km >150 km adjOR 3.06, 95% CI 2.20 to 4.24).

Infant mortality (IM)

No studies reported this outcome.

Born before arrival (BBA)

Three case–control studies,23 26 27 and one cohort study5 reported this outcome. All four studies reported a significant increase in BBA rate with longer travel distance, although only two reported adjusted analyses.5 27 In the UK study,23 the risk of BBA increased 12-fold for women living >7 km from the OU compared with women living <2 km away (cOR 12.5, 95% CI 4.02 to 36.01). The risk of BBA increased significantly for women living >13 km from an OU in a Norwegian study26 (cOR 1.81, 95% CI 1.03 to 3.18). The Finnish study27 reported a fivefold increased risk of BBA for women living >35 km from the OU compared with <35 km (adjOR 5.02, 95% CI 1.80 to 14.04).

In France,5 the rate of BBA significantly increased with longer distances and it tripled for all women living 45+ km from the OU compared with women living <5 km away (cOR 3.77, 95% CI 3.23 to 4.39). The association persisted in an adjusted analysis which included women of parity three or higher and living 45+ km from the OU, who had a sixfold increased risk of BBA compared with women living <5 km away and of parity one or two (adjOR 6.49, 95% CI 4.92 to 8.48).

Neonatal unit (NNU) admission

A study from Canada28 reported an increase in NNU admission for births to women living >150 km from an OU compared with those living <50 km away (6.8% vs 4.8%).

Apgar score

No studies reported this outcome.

Hypoxic-ischaemic encephalopathy (HIE)

No studies reported this outcome.

Evidence from travel time studies

Description of included studies

Fifteen studies explored the impact of travel time from a woman’s home to an OU (see table 7). Two studies (one reported as an abstract only) were conducted in the UK,29–31 three studies in France,32–34 three studies (reported in five articles) in the Netherlands,35–39 one study reported in two articles from Norway,40 41 five studies in Canada42–46 and one study in Japan.47

Table 7.

Description of included studies— travel time

Author, year, country Study designandsetting Study objectives Study period Eligibility criteria Participant characteristics Description of exposures travel distance Services context information Review outcomes
Perinatal Maternal
UK Studies
Dummeret al 29, 2004, UK Retrospective population-based cohort study, Cumbria To investigate whether geographical accessibility to hospitals affected SB rates and infant mortality 1950–1993 grouped: 1950–1959 1960–1969 1970–1979 1980–1993 Included: All births Excluded: Women with missing postcodes n=283 668 births Other characteristics: NR Travel time (mins): <17 18–35 >35 Universal state provision of maternity care. 1950–1993: 4 hospitals opened, 2 closed NM; Early NM; Post NM NR
Paranjothyet al 30 31, 2013, 2014, UK (abstract& full paper) Retrospective cohort study, All Wales Perinatal SurveyandNational Community Child Health Database To study the association between travel time from home to OU on intrapartum stillbirth (SB)andNM 1995–2009 Included: All registered birth >23 wks GA Excluded: Antepartum SB, lethal congenital anomalies, multiple pregnancies, invalid or missing GA, missing maternal age/postcode/hospital of birth or baby’s gender n=466 255 singleton births Maternal age yrs %<20 90.7 20–34 76.5 34–44 13.8 45+0.1 Parity: Nullips 44.9% Social deprivation quintile %: 1 (least depr) 16.7 2–4 57.8 5 (most depr) 25.6 Ethnicity, education: NR Travel time (mins): <15 15–29 30–44 >45 Universal state provision of maternity care. 50 hospitals (16 outside Wales) Intrapartum SB; Early NM; Late NM NR
Other European Studies
Combieret al 32, 2013, France Retrospective cohort study, based on hospital discharge summaries, Burgundy To analyse the effect of travel time to closest OU on pregnancy outcomeandprenatal management in Burgundy 2002–2009 Included: Singleton births >21 wks GA Excluded: Medical ToP, multiple pregnancy, births outside Burgundy, births in 2002 and 2008 due to closure of 3 units n=111 001 births Other characteristics=NR Travel time (mins): ≤15 16–30 31–45 ≥46 2000–2001: 2 private maternity units closed 2002–2009: 3 public maternity units closed. Units(n): 2000 (20) 2009 (15) SB; PM; BBA NR
Renesmeet al 34, 2013, France Case–control, multicentre study, 8 units, Finistere District, Brittany To evaluate the social- geographical factors associated with BBAs 2007–2009 Included cases: BBA of live birth Included controls: 2 controls for each case irrespective of delivery mode. Excluded: GA <22 weeks, BW <500 g, planned home birth n=225 Cases vs controls n=76 vs 149 Age (median, range) yrs: 30 (16–41) vs 30 (16-41) Parity (median, range): 2 (1–6) Maternal INSEE code n (%): 1, 2, 3 or 4=15 (23.8) vs 56 (43.4); five or 6: 20 (31.8) vs 55 (42,6); 8=28 (44.4%) vs 18(14) Ethnicity, education: NR Travel time (mins): 15 15–29 30–44 >45 9700 births/year in Finistere In 2012 units with <300 births/yr were closed. Universal state provision of maternity care BBA NR
Nguyenet al 33, 2016, France Case–control study, university hospital in Caen To estimate the incidence of BBA during the study period 2002–2009 Included cases: Unplanned BBA Included controls: Next spontaneous birth in hospital Excluded: NR n=188Casesn=94 Mean age: 28.9 years Parity: 1.8 SES: 73.4% no profession/student Control n=94 Mean age: 29.2 years Parity: 0.9 SES: 47.9% no profession/student Ethnicity, education: NR Travel time (mins): ≤20 mins >20 mins University Hospital with neonatal care facilities. Universal state provision of maternity care BBA NR
Ravelli Study
Ravelli et al 35–37, 2011, Netherlands (full papers & abstract) Retrospective population-based cohort study, rural and urban areas, 12 provinces To study the effect of travel time from home to OU on mortality and other adverse outcomes in pregnant women at term in primary and secondary care 2000–2006 Included: Singleton term births Excluded: Antepartum deaths, congenital anomalies, invalid/missing postcodes or outpatient codes, or births from Wadden islands, home deliveries, hospitals participated for 1–2 years n=751 926 singleton births Age yrs, % <20, 2 20–34, 78.3 35–39, 17.2≥40, 2.4 Parity: Nullips: 49.9% Ethnicity: White 81.7% SES % : high 25.2, medium 48.2, low 26.7 Education: NR Travel time (mins): <20≥20 Universal state provision of maternity care. 99 OUs including tertiary perinatal centres NM (Combined intrapartum & early & late NM up to 28 days) NM (0–24 hours) NM (0–27 days) NM(8–27 days); Combined (mortality and/or Apgar<4 at 5 min, and/or NNU admission) NR
Ravelli et al 38, 2012, Netherlands Retrospective cohort study in nine regions To investigate provincial differences in perinatal mortality (PM) and to determine the influence of different risk factors, including travel time from home to the OU during labour 2000–2006 Included: Singleton births Excluded: Women with incorrect post codes n=1 242 725 singletons Age yrs, % <20, 1.8>35, 19.5 Parity, % Nullips, 46.3 Ethnicity, % Non-western 16.2 SES low (10th centile): 10% Education NR Travel time(mins): <20≥20 Universal state provision of maternity care PM NR
Stolp et al 39, 2015, Netherlands Prospective cohort study, rural & urban areas To assess whether the limit of 45 mins is met for ambulance transfer of women with PPH after home birth 2008–2010 Included: Women with PPH after MW supervised home birth Excluded: Cases of PPH with missing data n=72 (54 analysed) Age median (range) yrs: 31 (23-41); Parity (n, %): Primip 27%–50% Ethnicity, Education, SES: NR Travel time (mins): <45 >45 Home birth for low risk women and hospital birth. Universal state provision of maternity care NR Maternal admission to intensive care; (ICU); Blood transfusion; Postpartum haemorrhage (PPH)
Egjom Study
Engjomet al 40 41, 2017 & 2015, Norway (full paper & abstract) Retrospective population-based cohort study, Medical Birth Registry of Norway and Statistics Norway, 19 counties To assess peripartum mortality associated with place of birth and availability of obstetric units. 1999–2009 Included: All births in Norway with GA ≥22 wks or BW ≥500 g Excluded: Lack of address and municipality, antepartum SB, planned home births n=646 898 960.4% singletons. Age yrs, % <20 20.4 20–35, 80.7>35, 16.9%; Multips 58.7%; Education >11 y 77.2 Ethnicity: Western 90.7% Travel time (hrs):<1 1–2 >2 Basic obstetric care for normal delivery; Emergency obstetric care <1500 births/yr. Universal state provision of maternity care BBA NR
Canadian Studies
Grzybowskind Stroll Study
Grzybowski et al 43, 2011, Canada Retrospective cohort study, rural areas of British Columbia To document newborn and maternal outcomes in relation to travel time to the nearest OU with CS capability 2000–2004 Included: All deliveries>20 weeks’ GA Excluded: Multiple birth, congenital anomalies or late ToP, core urban areas n=35 426 birthsGroups:<1 hour, 1–2, 2–4,>4 hours Group N: 32 814, 1359, 747, 506 Mean maternal age yrs: 28.7, 28.67, 27.25, 27.2 Parity % primips: 42.6, 38.6, 36.7, 36.8 SES*: 0.12, 0.10, 0.30, 0.33, first Nations % 0.05, 0.30, 0.23, 0.42 Education: NR Travel time (hrs): <1 1–2 2–4 >4 Universal medical coverage for core healthcare, 13 NNUs, 42 000 births /year PM (SB & early NND); BBA; NNU admission CS
Grzybowskiet al 44, 2013, Canada Retrospective cohort study, rural areas of British Columbia To compare rural maternity care by level of services 2000–2007 Included: Singleton births Excluded: Women with residential postcode of large urban centres n=4672 births; Mean age, yrs: 27.7 Parity: primips: 39.7% SES*: 0.22%; Ethnicity: first Nations 0.3% Education: NR Travel time (hrs):<1 >1 Universal medical coverage for core healthcare SB; NND (late<1 month); PM; IM; BBA; NNU admission CS; Emergency CS; PPH
Grzybowskiet al 45, 2015, Canada Retrospective cohort study, British Columbia (BC), Alberta, Nova Scotia (NS) To examine the safety of rural Canadian maternity services 2003–2008 Included: Singleton deliveries Excluded: Multiple births, infants born with congenital anomalies, planned home births, accidental BBA Alberta, BC, NS Age yrs (n %) <18: 1618 (2.3), 1256 (2.0), 413 (2.2) >35 yrs: 5127 (7.3), 8866 (14.3), 2387 (12.7) Multips n (%) 41 730 (59.6), 35 089 (56.6), 10 656 (56.8) Ethnicity, SES, education: NR Travel time (hrs):<1 1–2 2–4 >4 Universal medical coverage for core healthcare, 20 small maternity closures since 2000 PM (SB & NND up to 7 days) CS
Stoll et al 46, 2014, Canada Retrospective cohort study, rural British Columbia To report on characteristics and perinatal outcomes of rural women with only MW involved in care 2003–2008 Included: Women residing outside core urban areas, singletons >20 wk GAand care by a MW Excluded: Late ToP, congenital anomalies <1 hour, 1–2 hours, >2 hours:n=3438, 124, 130 Mean age yrs: 29.78, 31.4, 30.5 Primips n (%) 1574 (45), 63 (50.8), 63 (48.5) Ethnicity, SES & Education: NR Travel time (hrs):<1 1–2 >2 Universal medical coverage for core healthcare, closure of 22 rural maternity services PM (SB & NND up to 7 days) CS
Darling et al 42, 2019, Canada Retrospective population-based cohort study, Ontario Whether greater diving distances to OU associated with a higher risk of adverse neonatal outcomes 2012–2015 Included: Women who planned home births regardless of actual place of births Excluded: Multiple births, Preterm <37 wks n=11 869 Age yrs, %:<25, 9.5 25–39,87.6≥40, 2.9 Primps n (%) 4208 (35.5) SES low, n(%) 2465 (20.8) Ethnicityandeducation: NR Travel time (mins): ≤30 >30 Universal medical coverage for core healthcare PM (PM); NNU admission; 5 mins Apgar<7 CS
Other countries
Aoshimaet al 47, 2011, Japan Before and after study design, data from perinatal care centres Whether reducing travel time influences the neonatal mortality rate (NM) 2002–2006 Included: All births Excluded: Municipalities consisting of isolated islands Number of births: 2002=347 284 2006=322 514 Other characteristics: NR Travel time (hrs): ≤1 >1 Universal healthcare insurance system, 346 perinatal care centres NM NR

INSEE: Institute National de la Statistique et des Etudes Economiques; INSEE codes: 1: farmer; 2: craftsperson, merchant or entrepreneur; 3: businessexecutive, intellectual occupation; 4: other professionals; 5: employee; 6: worker; 8: no occupation.

*SES: Catchment level Social vulnerability -1 to +1

†GPESS = general practitioner with enhanced surgical skills.

BBA, born before arrival; BW, birth weight; CS, caesarean section; GA, gestational age; ICU, intensive care unit; NNU, neonatal unit; NR, not reported; NS, not significant; OU, obstetric unit; RR, relative risk; SES, socioeconomic status; ToP, termination of pregnancy.

Eleven studies were of a retrospective cohort design, one was a prospective cohort study,39 one was a before-and-after design47 and two were case–control studies.33 34 All the studies clearly stated the eligibility criteria. Only singleton births were included in five studies.30–32 35–38 42 One study39 specifically enrolled women with postnatal haemorrhage after home birth, and one study42 focused on planned home birth regardless of the actual place of birth.

The studies were heterogeneous in their travel time intervals. With the exception of one study in Canada,42 longer time cut-off points were examined in studies from Norway, Japan and Canada compared with studies in other countries (all European). Travel duration was estimated using geographical mapping software in all studies. However, most studies estimated travel duration to and from central points within areas rather than actual addresses.

Risk of bias assessment

Risk of bias assessment and supported explanations for each of the risk of bias domains are presented in table 8. With the exception of Stolp et al,39 sample selection and measurement of outcomes were considered to be at low risk of bias across all studies as such data were obtained from national databases and birth registries. The groups in the two case–control studies were appropriately selected and defined, however, the case and control groups were not comparable in both studies (eg, difference in antenatal care attendance and sociodemographics). Eight studies29 34–42 were considered at low risk of exposure measurement bias, as the women’s actual place of residence was used to estimate travel time to nearest OU. The risk of attrition bias was low for the majority of the included studies. Similarly, analyses and adjustment for potential confounders were found to be appropriate in the majority of studies.

Table 8.

Risk of bias—travel time

Author, year, country Study sample selection bias additional criteria for case– control studies Bias in measurement of exposure Bias in measurement of outcomes Attrition bias Analysis method reported and appropriate Potential confounders adjusted for and listed
UK Studies
Dummer & Parker 29, 2004, UK LOW Cumbrian Births Database LOW Modelled using GIS LOW Objective outcome (NM) LOW Of 3352 live births, 42 stillbirths excluded as the outcome NM LOW Method detailed, results of LR were reported LOW Adjusted for year of birth, social class, birth order, multiple births
Paranjothy et al 30 31, 2013 & 2014, UK LOW National Community Child Health Database & All Wales Perinatal Survey) HIGH Women’s address replaced by population-weighted centroid, travel time calculated using Google Maps API (v3) LOW Objective outcomes (SB, NM) LOW 11% excluded where information on parity was missing LOW Analysis method described and multilevel LR data were reported LOW Adjusted for maternal age, parity, urban/rural location, SES, and other characteristics
European Studies
Combier et al 32, 2013, France LOW Burgundy perinatal network database HIGH Municipality town hall not woman’s home address LOW Objective outcomes (SB, PM, BBA) LOW All births identified included in the analysis LOW Method described; hierarchical LR and multilevel LR reported LOW Adjusted for maternal age, urbanisation level and other characteristics
Renesme et al 34, 2013, France Case definition YES linked to perinatal network database LOW Distance & travel time estimated using GIS LOW Objective outcomes retrieved from regional and hospital databases LOW 5/81 (6%) BBAs missing, 3/162 (2%) controls missing LOW Method described and univariate and appropriate; multivariate reported LOW Adjusted for age, family status, INSEE maternal occupation, parity, and other characteristics
Representativeness of cases YES All cases in defined period
Appropriate selection of controls YES Controls chosen randomly from same databases and from births occurring at the nearest delivery date and hour to cases
Definition of control appropriate YES Outcome could not have occurred
Comparability of cases and controls NO Difference in antenatal care attendance
Nguyen et al 33, 2016, France Case definition YES Using medical records UNCLEAR No information LOW Objective outcome (BBA) UNCLEAR No information HIGH No details of the analysis method and analysis was only descriptive HIGH No adjustment for any potential confounders
Representativeness of cases YES All cases in defined period
Appropriate selection of controls YES Next birth, of equivalent GA
Definition of control appropriate YES Outcome could not have occurred
Comparability of cases and controls NO Significant differences in parity, smoking, pregnancy monitoring, profession
Ravelli et al35–37, 2011, Netherlands (abstract & full papers) LOW Population based study using the Netherlands Perinatal Registry LOW GIS software used to measure travel time from women's postcodes LOW Objective outcomes from perinatal registry LOW Small proportion (0.3%) of women excluded due to incorrect zip code LOW Method reported; descriptive analysis & LR results given LOW Analysis adjusted for age, parity, ethnicity, SES
Ravelli et al 38, 2012, Netherlands LOW Population based study using the Netherlands Perinatal Registry LOW GIS software used to measure travel time from women's postcodes LOW Objective outcomes from perinatal registry LOW Small proportion 4% of women excluded UNCLEAR No information LOW Adjusted for age, parity, very urban /very rural, SES
Stolp et al 39, 2015, Netherlands HIGH Study participants were selected by midwives LOW Ambulance interval includes total time from dispatch call to arrival at hospital UNCLEAR Method of measuring blood loss not reported HIGH Missing data 18/72 (25%) due to incomplete documentation HIGH Data only analysed descriptively HIGH No adjusted analysis
Engjom et al 40, 2017 and Engjom et al 41, 2015, Norway (abstract & full paper) LOW Medical Birth Registry of Norway LOW Travel time polygon from home address using GIS LOW Objective outcomes from birth registry UNCLEAR No information LOW Analysis appropriate, details of LR, multilevel modelling were reported LOW Adjusted for maternal age, parity, education, ethnicity
Grzybowski et al 43, 2011, Canada LOW Population based study using British Columbia Perinatal Health Programme HIGH GIS used to create 1 hour travel zone for each maternity service, but central postal code to the nearest maternity care used LOW Objective outcomes from Perinatal Health Programme LOW 0.3% excluded due to incorrect zip code LOW Analysis appropriate, descriptive analysis & hierarchical LR reported LOW Adjusted for maternal age, parity, SES, ethnicity
Grzybowski et al 44, 2013, Canada LOW Data from Perinatal Data Registry HIGH Community central postal code used not women’s home address LOW Objective outcomes from Perinatal Data Registry HIGH Number of women excluded due to incorrect postal address not reported LOW Analysis appropriate descriptive analysis & LR LOW Adjusted for maternal age, parity, lone parent status, ethnicity, SES
Grzybowski et al 45, 2015, Canada LOW Provincial perinatal registries HIGH Community central point postal code used not women’s home address LOW Objective outcomes from Perinatal Data Registries UNCLEAR No information on missing data LOW Analysis appropriate, descriptive analysis & LR reported LOW Adjusted for maternal age, parity
Stoll et al 46, 2014, Canada LOW Based on British Columbia Perinatal Database Registry LOW Used GIS and Google maps; travel times were adjusted for travel conditions LOW Objective outcomes (CS) LOWNo missing data HIGH Data were only analysed descriptively HIGH No adjusted analysis
Darling et al 42, 2019, Canada LOW Data from Perinatal Registries LOW Driving time from women’s residence using online mapping tool ArcGIS LOW Objective outcomes from Perinatal Data Registries LOW 3.7% excluded not being able to calculate distance to nearest hospital LOW Method reported, results of descriptive analysis & LR reported LOW Adjusted for maternal age, parity, gestational age, season, SES
Aoshima et al 47, 2011, Japan LOW All Japan except for isolated islands outside road network (96.6% of all Medical Service Areas) HIGH Used central point of municipality not home address but analysis based on (larger) Medical Service Areas. LOW Objective outcomes from Medical Service Area databases UNCLEAR No information on missing data LOW Method appropriate, unpaired t-test, difference-in-difference analysis HIGH No adjusted analysis

BBA, born before arrival; CS, caesarean section; GA, gestational age; GIS, geographical information system; INSEE, institute national de la statistique et des etudes economiques; LR, logistic regression; NM, neonatal mortality; NNU, neonatal unit; PM, perinatal mortality; SES, socio economic status; SB, still birth.

Findings

Maternal outcomes

Maternal mortality (MM):

No studies reported this outcome.

Caesarean section (CS) (overall, or intrapartum)

Five Canadian studies42–46 reported CS rates (table 9). Across three studies,43–45 cORs for CS rates were higher among women who lived closer to OUs with CS rates highest for women living less than 1 hour away compared with other categories (1–2 hours, 2–4 hours and >4 hours). One study46 included women who had a midwife involved in their care, and found no significant differences in CS rates for women living 1–2 hours and more than 2 hours away compared with within 1 hour of an OU (1–2 vs <1 hour, cOR 1.23, 95% CI 0.80 to 1.91 and >2 hours vs <1 hour, cOR 1.11, 95% CI 0.71 to 1.72). A further study42 also showed a higher CS rate among women who planned a home birth and lived less than half an hour away from OU services (>30 min vs ≤30 min, cOR 0.74, 95% CI 0.59 to 0.92).

Table 9.

Outcomes—travel time

Outcomes Study, year, country Exposure groups Participants (N, n, %) Findings
Maternal outcomes
Maternal mortality (MM) No studies
Caesarean section (CS)(overall or intrapartum) Grzybowski et al 43, 2011, Canada Travel time (hrs):<1 1-2 2-4 >4 All CS
Groups N (35,429) All CS n(%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 32814 8597 (26.2) <1 1 NR
1-2 1359 313 (23) 1-2 0.84 (0.74, 0.96) NR
2-4 747 156 (20.9) 2-4 0.74 (0.62, 0.89) NR
>4 509 97 (19.06) >4 0.66 (0.53, 0.83) NR
Grzybowskiet al 44, 2013, Canada Travel time (hrs): <1 >1 All CS
Groups N (59 386) n(%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 54 714 14882 (27.20) <1 1 NR
>1 4672 1075 (23.01) >1 0.80 (0.75, 0.86) NR
Grzybowskiet al 45, 2015, Canada Travel time (hrs): <1 1-2 2-4 >4 Alberta CS
Groups Alberta N (34 453) n% Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 hour 29906 NR <1 NR 1
1-2 2940 NR 1-2 NR 0.86 (0.78, 0.94)
2-4 1297 NR 2-4 NR 0.67 (0.58, 0.77)
>4 310 NR >4 NR 0.64 (0.48, 0.87)
British Columbia CS
Groups British Columbia N (42,217) n% Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 hour 39 101 NR <1 NR 1
1-2 1892 NR 1-2 NR 0.92 (0.83, 1.03)
2-4 623 NR 2-4 NR 0.74 (0.61, 0.90)
>4 601 NR >4 NR 0.70 (0.57, 0.85)
Nova Scotia CS
Groups Nova ScotiaN (17 336) n% Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 hour 15465 NR <1 NR 1
1-2 1772 NR 1-2 NR 0.87 (0.77, 0.98)
2-4 99 NR 2-4 NR 0.67 (0.40, 1.10)
>4 NR -
Stoll et al 46, 2014, Canada Travel time (hours): <1 1-2 >2 Groups N (3692) n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 3438 633 (18.41) <1 1 NR
1-2 124 27 (21.80) 1-2 1.23 (0.80, 1.91) NR
>2 130 26 (20.0) >2 1.11 (0.71, 1.72) NR
Darlinget al 42, 2019, Canada Travel time (mins): ≤ 30 >30 Groups N n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤ 30 9189 536 (5.83) ≤ 30 1 NR
>30 2236 98 (4.44) >30 0.74 (0.59, 0.92) NR
Emergency CS Grzybowskiet al44, 2014, Canada Travel time (hours): <1 >1 Groups N (59 386) n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 54,714 9247 (16.99) <1 1 NR
>1 4672 701 (15.00) >1 0.80 (0.75, 0.86) NR
Severe perineal trauma (3rd or 4th degree tear) No studies
Postpartum haemorrhage Stolpet al 39, 2015, Netherlands Travel time (mins): <45 >45 Groups N (54) n (%) Groups Median (range) ml
<45 34 NR <45 2,000 (1,100–7,000)
>45 20 NR >45 2,050 (1,000–6,000) (P=0.9)
Grzybowskiet al 44, 2013, Canada Travel time (hrs): <1 >1 Groups N (59,386) n (%) Groups Crude OR (95%CI)
<1 54 714 3064 (5.6) <1 1
>1 4672 327 (7.0) >1 1.27 (1.13, 1.43)
Maternal admission to intensive care unit Stolpet al 39, 2015, Netherlands Travel time (mins): <45 >45 Groups N (54) n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤45 34 1 (2.94) ≤45 1 NR
>45 20 1 (5.0) >45 1.74 (0.10, 29.39) NR
Maternal blood transfusion Stolpet al 39,2015, Netherlands Travel time (mins): <45 >45 Groups N (54) n (%) Groups Median (range) L
≤45 34 ≤45 ≤45 0 (0-8)
>45 20 >45 >45 2 (0-8)
Neonatal outcomes
Stillbirth (SB) (overall or intrapartum) Paranjothyet al 31, 2014, UK Every 15 min increase in travel time (continuous variable) Groups N (412,827) SB n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
All women 412,827 135 (0.03) All women 1.29 (1.14, 1.47) 1.13 (0.98, 1.30)
Term births in hospital 387,429 85 (0.02) Term births only 1.35 (1.16, 1.57) 1.36 (1.17, 1.59)
Nullips births in hospital 185,419 69 (0.04) Nullips only 1.33 (1.13, 1.57) 1.21 (1.02, 1.44)
Combier et al 32, 2013, France Travel time (mins): ≤ 15 16-30 31-45 ≥46 Groups N (111,001) SB n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤ 15 70,427 333 (0.47) ≤ 15 1 1
16-30 31,792 148 (0.47) 16-30 0.98 (0.81, 1.20) 1.16 (0.96, 1.40)
31-45 8445 50 (0.59) 31-45 1.25 (0.93, 1.69) 1.31 (0.89, 1.93)
≥46 337 3 (0.89) ≥46 1.89 (0.60, 5.92) 1.90 (0.70, 5.15)
Grzybowskiet al 44, 2013, Canada Travel time (hrs): <1 >1 Groups N (59,386) SB n (Rate/1000) Groups Crude OR (95%CI) Adjusted OR (95%%CI)
<1 54,714 274 (5.0) <1 1 1
>1 4672 28 (6.0) >1 1.20 (0.81, 1.77) NR
Neonatal mortality (NM) Dummer et al29, 2004, UK Travel time (mins): ≤ 17 17-35 >35 Groups N (28,7993) Early NM (0-6 days)n (%) Early NM (0-6 days) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤ 17 NR 1850 (NR) ≤ 17 NR 1
17-35 NR 789 (NR) 17-35 NR 0.97 (0.89, 1.06)
>35 NR 196 (NR) >35 NR 0.95 (0.81,1.1)
Groups N (28,7993) NM (0-27days)n (%) NM (0-27 days) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤ 17 NR 1854 (NR) ≤ 17 NR 1
17-35 NR 946 (NR) 17-35 NR 0.96 (0.89, 10.4)
>35 NR 239 (NR) >35 NR 0.95 (0.83, 1.09)
Groups N (28,7993) Post NM(28-1yr)n (%) Post NM (28 days – 1yr) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤ 17 NR 961 (NR) ≤ 17 NR 1
17-35 NR 400 (NR) 17-35 NR 0.97 (0.86,10.9)
>35 NR 98 (NR) >35 NR 0.95 (0.77, 1.17)
Paranjothyet al 31, 2014, UK Every 15 min increase in travel time (continuous variable) Groups N Early NM n (%) Early NM (0-6 days)Groups Crude OR (95%CI) Adjusted OR (95%CI)
All women 412,827 609 (0.15) All women 1.37 (1.31, 1.45) 1.13 (1.07, 1.20)
Term births only 387,429 177 (0.05) Term births only 1.02 (0.86, 1.21) 0.97 (0.80, 1.17)
Nullips only 185,419 303 (0.16) Nullips only 1.42 (1.33, 1.51) 1.15 (1.06, 1.25)
Groups N Late NM n (%) Late NM (7-27 days)Groups Crude OR (95%CI) Adjusted OR (95%CI)
All women 412,827 251 (0.06) All women 1.33 (1.23, 1.44) 1.15 (1.05, 1.26)
Term births only 387,429 77 (0.02) Term births only 1.24 (1.03, 1.50) 1.34 (1.13, 1.59)
Nullips only 185,419 116 (0.06) Nullips only 1.31 (1.15, 1.49) 1.11 (0.97, 1.28)
Ravelli 201135–37, Netherlands Travel time (mins): < 20 mins ≥20 mins NM (Combined intrapartum and early NM)
Groups N (1 054 342) NM n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
< 20 558,181 789 (0.14) < 20 mins 1 1
≥20 193,745 336 (0.17) ≥20 mins 1.23 (1.08, 1.39) 1.23 (1.07, 1.41)
Low-risk women N (120 896) NM n(/1000)63 (0.05/1000) Low risk women Crude OR (95%CI) Adjusted OR (95%CI)
< 20 NR NR < 20 NR 1
≥20 NR NR ≥20 NR 0.8 (0.4, 1.7)
Low risk women became high risk during labour N (142,824) NM n(/1000)1.9/1000 Low risk women became high risk during labour Crude OR (95%CI) Adjusted OR (95%CI)
<20 NR NR <20 NR 1
≥20 NR NR ≥20 NR 1.23 (1.04, 1.47)
Travel time (mins): <15 15-19 ≥20 NM (Combined intrapartum & early & late NM up to 28 days)
Groups N (751,926) NM n (1125) (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<15 425,952 NR <15 1 1
15-19 132,229 NR 15-19 0.97 (0.82, 1.15) 0.94 (0.79, 1.12)
≥20 193,745 336 ≥ 20 1.22 (1.07, 1.39) 1.17 (1.02, 1.36)
NM within 24 hrs
Groups N (751,926) NM within 24 hrs n (255) (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<20 558,181 NR <20 1 1
≥20 193,745 NR ≥ 20 1.52 (1.17, 1.97) 1.51 (1.13, 2.02)
NM 0-7 days
Groups N (751,926) NM 0-7 dys (523) (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<20 558,181 NR <20 1 1
≥20 193,745 NR ≥ 20 1.44 (1.20, 1.72) 1.37 (1.12, 1.67)
NM 8-27 days
Groups N (751,926) NM 8-27 dys (58) (%) Groups Crude OR (95%CI) Adjusted OR(95%CI)
<20 558,181 NR <20 1 1
≥20 193,745 NR ≥ 20 1.30 (0.74, 2.26) 1.24 (0.67, 2.27)
Grzybowskiet al 44, 2013, Canada Travel time (hrs): <1 >1 Groups N (59,386) NM n (%) Late NM age <1 month, no events
<1 54,714 0
>1 4672 0
Aoshima et al47, 2011, Japan Travel time (mins): Median 39.09 (2006) Median 66.99 (2002) Groups N NM n (Rate/ 1000) Groups Crude OR (95%CI) Adjusted OR (95%CI)
2006 NR NR (1.28) 39.09 NR NR
2002 NR NR (1.67) 66.99 NR NR
Perinatal mortality (PM) Combier et al 32, 2013, France Travel time (mins): ≤15 16 -30 31-45 ≥46 Groups N (110,664) PM n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
≤15 70,427 452 (0.64) ≤15 1 1
16-30 31 792 195 (0.61) 16-30 0.96 (0.81, 1.13) 1.08 (0.90, 1.29)
31-45 8445 59 (0.7.0) 31-45 1.09 (0.83, 1.43) 1.18 (0.86, 1.62)
≥46 337 4 (1.19) ≥46 1.86 (0.69, 5.01) 1.85 (0.66, 5.19)
Ravelliet al 38, 2012, Netherlands Travel time (mins): <20 ≥20 Groups N (1,242,725) PM n (Rate/1000) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<20 1,006,607 81 (0.08) <20 1 1
≥20 236,118 19 (0.08) ≥ 20 1.53 (1.47,1.50) 1.66 (1.59,1.74)
Grzybowskiet al 43, 2011, Canada Travel time (hrs): <1 1-2 2-4 >4 Groups N (35,429) PM n (Rate/1000) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 32,814 197 (6.0) <1 1 1
1-2 1359 8 (6.0) 1-2 0.98 (0.48, 1.99) 1.04 (0.48, 2.22)
2-4 747 4 (5.0) 2-4 0.89 (0.33, 2.40) 0.92 (0.33, 2.53)
>4 509 9 (18.0) >4 2.98 (1.52, 5.85) 3.17 (1.45, 6.95)
PM (SB & early NM)
Grzybowskiet al 44, 2013, Canada Travel time (hrs): <1 >1 Groups N (59,386) PM n (Rate/1000) Groups Crude OR (95%CI) Adjusted (OR 95%CI)
< 1 54 714 383 (7.0) <1 1 NR
>1 4672 37 (8.0) >1 1.54 (1.09, 2.17) NR
Grzybowskiet al 45, 2015, Canada Travel time (hrs): <1 1-2 2-4 >4 PM (SB & earlyNMAlberta
Groups Alberta (N=34,453) PM n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 hr 29,906 NR <1 1 1
1-2 2940 NR 1-2 NR 1.50 (1.03, 2.18)
2-4 1297 NR 2-4 NR 1.35 (0.77, 2.38)
>4 310 NR >4 NR 1.40 (0.44, 4.39)
PM (SB & early NM) BC
Groups British Columbia (N=42,317) PM n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 hr 39,101 NR <1 1 1
1-2 1892 NR 1-2 NR 0.79 (0.43, 1.45)
2-4 623 NR 2-4 NR 1.33 (0.59, 3.01)
>4 601 NR >4 NR 2.84 (1.58, 5.10)
PM (SB & early NM) Nova Scotia
Groups Nova Scotia (N= 17,336) PM n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 hr 15,465 NR <1 1 1
1-2 1772 NR 1-2 NR 0.66 (0.38, 1.14)
2-4 99 NR 2-4 NR NR
>4 0 NR >4 NR NR
Stoll et al 462014, Canada Travel time (hrs): <1 1-2 >2 Groups N (3,692) PM n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<1 3438 15 (0.4) <1 1 NR
1-2 124 0 1-2 0.89 (0.05, 14.91) NR
>2 130 2 (1.5) >2 3.57 (0.81, 15.76) NR
PM (SB and early neonatal death up to 7 days)
Darling et al 44, 2019 (42), Canada Travel time (mins): ≤30 >30 Groups N (10 681) PM n (%) Groups CrudeOR(95% CI) Adjusted OR (95% CI)
≤30 NR NR ≤30 NR NR
>30 NR NR >30 NR NR as RR 2.2 (0.67, 7.43)
Infant mortality (IM) Grzybowski et al 44, 2013, Canada Travel time (hrs): <1 >1 IM (age 1–12 month)
Groups N (59 386) IM n (rate/1000) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 54 714 109(2.0) <1 1 NR
>1 4672 14 (3.0) >1 1.51 (0.86, 2.63) NR
Born before arrival (BBA) Combier et al 32, 2013, France Travel time (mins): <15 15–29 30–44 >45 Groups N (111 001) BBA n (%) Groups Crude OR (95%CI) Adjusted OR (95%CI)
<16 70 427 132 (0.19) <16 1 1
16-30 31,792 93 (0.29) 16–30 1.56 (1.20, 2.04) 1.73 (1.23, 2.46)
31-45 8445 29 (0.34) 31–45 1.84 (1.23, 2.75) 1.64 (1.06, 2.54)
>45 337 0 >45 - -
Renesme 2013 (34), France Travel time (mins): <15 15–29 30–44 >45 Groups CasesN (73) (%) ControlN (148) (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<15 22 (30.2) 59 (39.9) <15 1 1
15-29 33 (45.2) 64 (43.2) 15–29 1.79 (0.87, 3.68) 1.92 (0.86, 4.96)
30-44 9 (12.3) 18 (12.2) 30-44 1.68 (0.58, 4.87) 1.10 (0.35, 3.48)
>45 9 (12.3) 7 (4.7) >45 5.89 (1.12, 30.89) 6.18 (1.33, 8.65)
Nguyen et al 33, 2016, France Travel time (mins): ≤ 20 > 20 Groups N (188) BBA n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
>20 94 controls 22 (23.4) >20 controls 1 NR
>20 94 cases 27 (28.7) >20 cases 1.3 (0.7, 2.6) NR
Engjom et al 41, 2017, Norway Travel time (hrs): <1 1-2 >2 Groups N (646 898) BBA n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
1 615 896 3488 (0.60) 1 1 1
1-2 25,494 844 (3.31) 1-2 6.01 (5.57, 6.49) NR reported as RR* 5.3 (5.0,5.8)
>2 5508 246 (4.50) >2 8.21 (7.19, 9.37) NR as RR* 7.2 (6.3,8.2)
Grzybowskiet al 43, 2011, Canada Travel time (hrs): <1 1-2 2-4 >4 Groups N (35 429) BBA n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 32 814 66 (0.20) <1 1 1
1-2 1359 31 (2.30) 1-2 11.58 (7.53, 17.81) 6.41(3.69,11.28)
2-4 747 3 (0.3) 2-4 2.00 (0.63, 6.38) 0.92 (0.22, 3.88)
>4 506 7 (1.4) >4 6.96 (3.18, 15.25) 3.63 (1.40, 9.40)
Grzybowskiet al 44, 2013, Canada Travel time (hrs): <1 >1 Groups N (59 386) BBA n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 54 714 164 (0.3) <1 1 NR
>1 4672 70 (1.5) >1 5.06 (3.82, 6.70) NR
Combined mortality and or Apgar < 4 at 5 mins and or transfer to NICU Ravelli 201135–37, Netherlands Travel time (mins): <15 15-19 ≥20 Groups N (751 926) Event n (4543) (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<15 425 952 NR <15 1 1
15-20 132 229 NR 15–20 0.99 (091, 1.07) 1.11 (1.02, 1.21)
≥20 193 745 NR ≥20 1.11 (1.04, 1.19) 1.27 (1.17, 1.38)
Neonatal Unit admission (NNU) Grzybowski et al 43, 2011, Canada Travel time (hrs): <1 1–2 2-4 >4 NICU level 2 admissions per 1000 births (2001–2004) NICU 2
Groups N (35 429) NICU2 n (rate/1000) Groups Crude OR (95% CI) Adjusted OR (95%CI)
<1 32 814 1082 (33.0) <1 1 1
1-2 1359 69 (51.0) 1-2 1.57 (1.22, 2.01) 2.20 (1.59, 3.05)
2-4 747 8 (11.0) 2-4 0.32 (0.16, 0.64) 0.31 (0.14, 0.65)
>4 506 14 (27.0) >4 0.83 (0.49, 1.42) 1.07 (0.54, 2.12)
NICU level 3 per 1000 births (2001–2004) NICU 3
Groups N (34 920) NICU3 n (rate/1000) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 32 814 98 (3.0) <1 1 NR
1-2 1359 11 (8.0) 1–2 2.72 (1.46, 5.09) NR
2-4 747 4 (5.0) 2-4 1.80 (0.66, 4.90) NR
>4 509 2 (4.0) >4 1.32 (0.32, 5.35) NR
Grzybowski et al 44, 2013, Canada Travel time (hrs): <1 >1 NICU level 2 (2001–2002 nd 2006–2007) n=74 697 NICU 2
Groups N NICU2 n (rate/1000) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 54 714 1751 (32.0) <1 1 NR
>1 4672 154 (33.0) >1 1.03 (0.87, 1.22) NR
NICU level 3 (2001–2002 and 2006–2007) n=74 697 NICU 3
Groups N NICU3 n (rate/1000) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 54 714 219 (4.0) <1 1 NR
>1 4672 28 (6.0) >1 1.50 (1.01, 2.23) NR
NICU (2 and 3) NICU admission
Groups N (59 386) NICU n (rate/1000) Groups Crude OR (95% CI) Adjusted OR (95% CI)
<1 54 714 1970 (36.0) <1 1 NR
>1 4672 182 (39.0) >1 1.09 (0.93, 1.27) NR
Darlinget al 42, 2019, Canada Travel time (mins): ≤30 >30 Groups N (10 687) NICU n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
≤ 30 NR NR ≤ 30 NR 1
>30 NR NR >30 NR Reported as RR 0.6 (0.44, 0.81)
Apgar <7 at 5 mins Darling et al 42, 2019, Canada Travel time (mins): ≤30 >30 Groups N (10 578) Apgar <7 n (%) Groups Crude RR (95% CI) Adjusted OR (95% CI)
≤ 30 NR NR ≤30 NR 1
>30 NR NR >30 NR NR as RR 1.02 (0.95, 1.10)
Nullips N (4208) Apgar <7 n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
≤30 3425 51 (1.5) ≤ 30 1 NR
>30 621 14 (2.3) >30 1.53 (0.84, 2.77) NR
Mullips N (7661) Apgar <7 n (%) Groups Crude OR (95% CI) Adjusted OR (95% CI)
≤ 30 5764 30 (0.5) ≤ 30 1 NR
>30 1615 11 (0.7) >30 1.31 (0.66, 2.62) NR
HIE No studies reported

*RR, relative risk.

BW, birth weight; HIE, hypoxic-ischaemic encephalopathy; NICU, neonatal intensive care unit; NR, not reported; Nullips, nulliparous.

Emergency CS

Shorter travel time to an OU was associated with a statistically significant higher emergency CS rate in one Canadian study45 (>1 hour vs <1 hour, cOR 0.80, 95% CI 0.75 to 0.86).

Severe perineal trauma

No studies reported this outcome.

Postpartum haemorrhage (PPH)

One Canadian study found the risk of PPH was significantly higher for women who lived more than 1 hour away from obstetric services compared with women who lived less than 1 hour away44 (>1 hour vs <1 hour, cOR 1.27, 95% CI 1.13 to 1.43).

Maternal admission to ICU

One study from the Netherlands39 involved women who had a PPH after midwifery-supervised home births and examined adverse maternal outcomes associated with travel time longer than 45 min to hospital. No difference was found in the number of women admitted to ICU who travelled more than 45 min compared with <45 travel time to hospital, but the numbers of events were low.

Maternal blood transfusion

One study from the Netherlands39 found no significant difference in the median number of units of blood transfused to women who travelled more than 45 min to an OU compared with <45 min travel time.

Neonatal outcomes:

Stillbirth (SB) (overall or intrapartum)

Three studies examined the association between increasing travel time and SB, one study each from the UK,30 31 France32 and Canada.44

In the UK study,30 31 there was no association between travel time and SB when analysing all women (adjOR 1.13, 95% CI 0.98 to 1.30). However, subgroup analyses showed a significant increase in the risk of SB with every 15 min increase in travel time to the OU for term pregnancies (adjOR 1.36, 95% CI 1.17 to 1.59) and for nulliparous women (adjOR 1.21, 95% CI 1.02 to 1.44). The other two studies32 44 found no significant increase in the incidence of SB with increasing travel time.

Neonatal mortality (NM)

Five studies examined the association between travel time and NM, two from the UK,29–31 one from the Netherland,35–37 one from Canada44 and one from Japan.47

The adjusted analysis in one UK study29 showed no statistically significant association between NM and travel time. The adjusted analyses in the other UK study31 showed a significant increase in early and late NM, with every 15 min increase in travel time (adjOR 1.13, 95% CI 1.07 to 1.20) and (adjOR 1.15, 95% CI 1.05 to 1.26) respectively. Subgroup analysis for nulliparous women showed a statistically significant increased risk of early NM associated with every 15 min increase in travel time from home to the OU (adjOR 1.15, 95% CI 1.06 to 1.25). For term births, late (but not early) NM increased significantly with every 15 min increase travel time from home to the OU (adjOR 1.34, 95% CI 1.13 to 1.59).

In one study from the Netherlands,35 a travel time of 20 min or more was associated with a significant increase in the combined intrapartum, early and late NM35–37 (≥20 min vs <20 min, adjOR 1.23, 95% CI 1.07 to 1.41). No NM events were reported in the study from Canada.44 The study from Japan47 reported that following a median reduction in travel time from 67 min in 2002 to 39 min in 2006 that there was a decrease in NM rate from 1.67 to 1.28, however, no further analyses were presented.

Perinatal mortality (PM)

Seven studies examined PM, one from France,32 one from the Netherlands38 and five from Canada.42–46 The French study32 found no significant association between increasing travel time to the nearest OU and PM based on unadjusted data. However, in the Dutch study a longer travel time (20 min or more) was significantly associated with higher PM38 (≥20 min vs <20 min, adjOR 1.66, 95% CI 1.59 to 1.74).

The Canadian studies also reported longer travel times to OUs being associated with an elevated risk of PM. A significant increase in PM was reported in women living more than 4 hours away from OUs compared with women living less than 1 hour (>4 hours vs <1 hour adjOR 3.17, 95% CI 1.45 to 6.95).43 However, findings from the same study suggested no significant increase for women living 1–2 hours and 2–4 hours from an OU compared with those living less than 1 hour from services. Similarly, the PM risk significantly increased in women who lived >1 hour from OUs in a further Canadian study,44 (cOR 1.54, 95% CI 1.09 to 2.17). When this was divided into different Canadian provinces,45 the rates of PM were highest in communities living more than 4 hours from an OU in comparison to less than 1 hour in British Colombia only (adjOR 2.84, 95% CI 2.84 to 5.10). Stoll and Kornelsen,46 found that in women who received midwifery care only, PM was not statistically significantly different for women living more than 2 hours away from an OU compared with women living less than 1 hour from an OU based on an unadjusted analysis (cOR 3.57, 95% CI 0.81 to 15.76). In Darling et al,42 the PM rates were not statistically significantly different for women with a planned home birth and more than 30 min drive from hospital (adjRR 2.2, 95% CI 0.67 to 7.43).

Infant mortality (IM)

One Canadian study43 reported no significant difference in IM rates for women living less than 1-hour travel time to OU compared with more than 1-hour travel time to OU (cOR 1.51, 95% CI 0.86 to 2.63).

Born before arrival (BBA)

Six studies reported this outcome, four cohort studies32 41 43 44 and two case–control studies.33 34 Five of the six studies found some association between travel time and BBA, four based on adjusted analyses.

There were three studies conducted in France.32–34 Combier et al,32 reported that a travel time greater than 15 min was significantly associated with an increased risk of BBA (16–30 min vs <16 min, adjOR 1.73, 95% CI 1.23 to 2.46); (31–45 min vs <16 min, adjOR 1.64, 95% CI 1.06 to 2.54).32 In a case–control study,34 the BBA rate increased sixfold when the travel time increased to more than 45 min from home to the OU compared with women who travelled less than 15 min (>45 min vs >15 min, adjOR 6.18 95% CI 1.33 to 28.65). However, in the other case– control study the risk of BBA was not significantly increased in women who travelled for greater than 20 min.33

In a study from Norway,40 41 the risk of BBA increased significantly with longer travel time to the nearest OU from home. Women who travelled more than 2 hours had an eight fold increased risk of BBA compared with women who lived within 1 hour of the nearest OU (>2 hours vs <1 hour, cOR 8.21, 95% CI 7.19 to 9.37).41

The studies from Canada43 44 found a significant increase in BBA in women living in communities greater than 1-hour travel time from an OU compared with those living less than 1 hour away. In Grzybowski et al,43 women who lived 1–2 hours from an OU had the highest risk of BBA compared with less than 1 hour (adjOR 6.41, 95% CI 3.69 to 11.28) and women who lived greater than 4 hours away also had an increased risk compared with those living less than 1 hour away (adjOR 3.63, 95% CI 1.40 to 9.40); however, there was no difference between those who lived 2–4 hours from an OU and those living less than 1 hour away (adjOR 0.92, 95% CI 0.22 to 3.88). Gryzbowski et al,44 found a five-=fold increase in BBA in women who lived more than an hour away from an OU in comparison to women who lived less than an hour away (cOR 5.06, 95% CI 3.82 to 6.70).

Neonatal unit (NNU) admission

Three studies from Canada reported on NNU admission.42–44 The two studies from British Columbia43 44 reported NNU depending on whether the admission was for level 2 care (high dependency) or level 3 care (intensive care). Findings from one of these studies43 showed NNU level 2 admission increased significantly in babies born to women living more than 1 hour away from an OU compared with less than 1 hour (adjOR 2.20, 95% CI 1.59 to 3.05). For those living 2–4 hours away, level 2 admissions were significantly lower compared with those living less than 1 hour away (adjOR 0.31, 95% CI 0.14 to 0.65). For those living more than 4 hours away, there appeared to be no increase in NNU level 2 admission. For level 3 NNU admission, a significantly increased risk was found for the 1–2 hours category (1–2 hours vs <1 hour, cOR 2.72, 95% CI 1.46 to 5.09). For the other two categories, 2–4 and >4 hours, neither crude nor adjusted analyses showed any significant difference. The number of women in each group decreased with increasing time from an OU. In Grzybowski et al,44 there was no increased risk of admission to NNU level 2 in babies born to women living more than 1 hour from an OU compared with less than 1 hour, however, admission to NNU level 3 was significantly higher (cOR 1.50, 95% CI 1.01 to 2.23). The third Canadian study from Ontario42 showed a lower relative risk of NNU admission for planned home births with a travel time greater than 30 min when compared with less than 30 min (adjRR 0.6, 95% CI 0.44 to 0.81).

Apgar score

Two studies reported on Apgar Score; one from Canada and one from the Netherlands.37 42 In the Canadian study,42 no significant difference was found for Apgar score <7 at 5 min between women who planned home birth and lived more or less than 30 min away from an OU, either for nulliparous or multiparous subgroups (adjRR 1.02, 95% CI 0.95 to 1.10).

The study from the Netherlands37 used a composite outcome of mortality and/or Apgar <4 at 5 min and/or transfer to NNU, and showed a small but significant increase in this outcome in women whose travel time to an OU exceeded 15 min (15–20 min vs <15 min, adjOR 1.11, 95% CI 1.02 to 1.21 and ≥20 min vs <15 min, adjOR 1.27, 95% CI 1.17 to 1.38).

Hypoxic-ischaemic encephalopathy (HIE)

No studies reported this outcome.

Discussion

This review describes studies which have explored the associations between OU closure, distance or travel time to an OU, and maternal and neonatal outcomes. The included studies were conducted in the UK, France, the Netherlands, Norway, Canada and Japan. Many studies were from parts of the world where service configuration varied and the study populations were sometimes dispersed over a large geographical area. The included studies differed in their design, geographical boundaries, outcomes measures used and included a wide range of travel time/distance thresholds used. In addition, although many studies reported that potential confounders were adjusted for in their analyses, many of the outcomes of interest for this review were crude measures of effect without adjustment. Therefore, comparing these studies with each other was a challenge.

All of these studies were brought together to explore whether women who had to travel longer and further to their planned OU were at increased risk of adverse outcomes. There was one reasonably consistent finding which was that there appeared to be an increased risk of BBA the longer it took to reach the OU. This may have been associated with an increased risk for the baby with a suggestion of an increased risk of perinatal or NM in some studies, however, this effect was not consistent across all the studies. There was also an increase in CS rates following closure of an OU and with shorter travel distance and time, however, it is unclear if the difference was related to the exposure or unmeasured differences in CS rates.

Strengths and limitations of the review

This work is the first to synthesise systematically the current evidence relevant to OU closure and the impact of travel time and travel distance on maternal and neonatal outcomes. Rigorous systematic review methodology was applied, including a sensitive search strategy to identify all the relevant literature, and thorough assessment of potential risks of bias. All screening, data extraction and risk of bias assessment were performed independently by at least two reviewers.

The process of selecting studies for inclusion was challenging due to a lack of reporting of some details, for example, it was not always clear which level of maternity services the study referred to, in others, findings related to the impact of travel time and distance were not always presented despite this being described as a study objective.

Interpretation of findings

It is difficult to conclude from this review whether reconfiguration of maternity services, with closure of OUs, resulting in increased travel distances and times for women is unequivocally associated with worse outcomes for the mother or the baby. Assessing the impact of OU closure and prolonged travel time and distance is not straightforward; to isolate the impact of the closure and travel time and distance on maternal and neonatal outcomes we need to fully understand the models of maternity care, transport services, landscape characteristics, women’s satisfaction with care and places of birth available to women in that specific geographical area. Understanding how services are delivered to women is vital when assessing the impact of travel distance and time as services may be adapted to meet the challenges for women living in remote areas, for example by transferring women antenatally a few weeks before birth. Some studies found an increase in CS rates with shorter distance/travel time. Attributing this solely to closure or reconfiguration of services is problematic as simple analytical comparisons of rates before and after changes do not account for underlying time trends. Future studies might want to consider an interrupted time series design as a more appropriate method.

There remains an urgent need to evaluate the impact of changing maternity service provision. The imperative to close and consolidate OUs into larger units is based on a belief that this will improve safety for both mother and baby. If increasing travel times and distances increases risks to mothers and babies, then the postulated benefits of larger OUs could be offset by the harms of the reconfiguration.

Waiting for closure of OUs to prospectively evaluate the impact on the surrounding maternity population will always be challenging. However, exploring the existing impact of distance and travel time from home to an OU may be a reasonable approach to explore what the impact of reconfiguration may be for a proportion of the women in the area served by the OU which would have these parameters increased by closure of one of more local OU(s). Such a study would need to be large to explore the impact of travel time and distance on substantive harms such as mortality for the baby, so will almost certainly need to use routinely collected data to obtain large numbers. Such studies will also need to include vigorous evaluation of confounders, such as maternal characteristics, socioeconomic status and maternal medical history, which are known to influence birth outcomes; controlling for these factors is vital to determine the OU closure impacts. These studies should also collect data at multiple time points after the closure and apply statistical analysis which considers time-varying relationships and the outcomes.

Measurement of travel time and distance from the woman’s place of residence to an OU would also need more sophisticated approaches than previously used in many studies; for example the use of web-based route planners and adjustment for travel conditions rather than using straight line distances or relying on self-reports.

Many study designs assume that travel time and distance have a constant effect on outcomes. If local OUs are far away, it is possible that women will modify their behaviour in relation to when they set off for their OU in labour, if they know they have an hour’s journey compared with a 20 min journey. The extent to which this will mitigate the effects of longer travel times would not be seen in a study looking at existing travel times and distances.

Conclusion

Given the substantial variation across studies we were unable to draw firm conclusions regarding the association between OU closure, travel distance or time to obstetric services and maternal and neonatal outcomes. There appears to be a consistent association with BBA with increasing distance and travel time to an OU and a suggestion of increasing risk to the baby. However, few studies have rigorously controlled for potential confounders.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

Our thanks to Pamela White for contacting NHS Trusts and obtaining papers, Nia Roberts for development of the search strategy and Mark Willett and Fiona Mackie for providingun published data.

Footnotes

Twitter: @charlesopondo

Collaborators: NA.

Contributors: PB, FA, RSM and JD conceived the research. All authors developed the protocol and RSM developed the search strategy. RSM, CT, AP, FA and JH screened the search results and full papers. RSM, CT, JH, FA and CO assessed the quality of included papers, extracted the data and synthesised the results. RSM and FA drafted the manuscript and all authors agreed the final manuscript.

Funding: This research is funded by the National Institute for Health Research (NIHR) Policy Research Programme, conducted through the Policy Research Unit in Maternal Health and Care, 108/0001.

Disclaimer: The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Competing interests: None declared.

Patient consent for publication: Not required.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement: All data relevant to the study are included in the article or uploaded as online supplemental information. All the data included in this systematic review are in the public domain.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

References

  • 1. Jordan H, Roderick P, Martin D, et al. Distance, rurality and the need for care: access to health services in South West England. Int J Health Geogr 2004;3:21. 10.1186/1476-072X-3-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Kelly C, Hulme C, Farragher T, et al. Are differences in travel time or distance to healthcare for adults in global North countries associated with an impact on health outcomes? A systematic review. BMJ open 2016;6:e013059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Rashidian A, Omidvari AH, Vali Y, et al. The effectiveness of regionalization of perinatal care services-a systematic review. Public Health 2014;128:872–85. 10.1016/j.puhe.2014.08.005 [DOI] [PubMed] [Google Scholar]
  • 4. Price S. Research evidence review -impact of distance/travel time to maternity services on birth outcomes. Public Health Wales NHS Trust; 2015. http://www.publichealthwales.org/maternityreview [Accessed January 2019]. [Google Scholar]
  • 5. Blondel B, Drewniak N, Pilkington H, Pilkington Nicolas;, Hugo; Zeitlin J, et al. Out-Of-Hospital births and the supply of maternity units in France. Health Place 2011;17:1170–3. 10.1016/j.healthplace.2011.06.002 [DOI] [PubMed] [Google Scholar]
  • 6. Lasswell SM, Barfield WD, Rochat RW, et al. Perinatal regionalization for very low-birth-weight and very preterm infants: a meta-analysis. JAMA 2010;304:992–1000. 10.1001/jama.2010.1226 [DOI] [PubMed] [Google Scholar]
  • 7. Engjom HM, Morken N-H, Norheim OF, et al. Availability and access in modern obstetric care: a retrospective population-based study. BJOG 2014;121:290–9. 10.1111/1471-0528.12510 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Stroup DF, Berlin JA, Morton SC, et al. Meta-Analysis of observational studies in EpidemiologyA proposal for reporting. JAMA 2000;283:2008–12. [DOI] [PubMed] [Google Scholar]
  • 9. Merenstein GB, Glicken AD. Best evidence-based practices: a historic perspective. Neonatal Netw 2002;21:31–5. 10.1891/0730-0832.21.5.31 [DOI] [PubMed] [Google Scholar]
  • 10. World Health Organization Universal health coverage (UHC), 2019. Available: https://wwwwhoint/news-room/fact-sheets/detail/universal-health-coverage-(uhc)
  • 11. Rowe R, McCourt C, MacFarlane A, The Birthplace in England Collaborative Group . Birthplace terms and definitions: consensus process Birthplace in England research programme.(Final Report 2. 08/1604/140). Southampton: HMSO, 2011. http://openaccesscityacuk/3651/1/Birthplace%20definitions%20rpt%20SDO_FR2_08-1604-140_V02pdf [Google Scholar]
  • 12. Thomas J, Graziosi S. EPPI-Reviewer: advanced software for systematic reviews, maps and evidence synthesis 2020;4. [Google Scholar]
  • 13. Cochrane Effective Practice and Organisation of Care (EPOC) Suggested risk of bias cri teria for EPOC reviews. EPOC Resources for review authors, 2017. Available: http://ep occochraneorg/resources/epoc-resources-review-authors
  • 14. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 2010;25:603–5. 10.1007/s10654-010-9491-z [DOI] [PubMed] [Google Scholar]
  • 15. Fleming AM, Martindale EE, Schram C. Reducing caesarean section rates through choice and collaboration. Archives of disease in childhood: fetal and neonatal edition conference: 16th annual conference of the British maternal and fetal medicine Society Dublin Ireland conference publication. Archives of Disease in Childhood - Fetal and Neonatal Edition 2 2013;98:A55–6. [Google Scholar]
  • 16. Mackie FLA, Moise F, Amu O. Maternal and neonatal outcomes after the amalgamation of two maternity units and consequent increased consultant labour ward presence: a retrospective population-based study. Archives of Disease in Childhood: Fetal and Neonatal Edition 2014;99:A21–2. [Google Scholar]
  • 17. Grytten J, Monkerud L, Skau I, et al. Regionalization and local hospital closure in Norwegian maternity care--the effect on neonatal and infant mortality. Health Serv Res 2014;49:1184–204. 10.1111/1475-6773.12153 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Hemminki E, Heino A, Gissler M. Should births be centralised in higher level hospitals? experiences from regionalised health care in Finland. BJOG 2011;118:1186–95. 10.1111/j.1471-0528.2011.02977.x [DOI] [PubMed] [Google Scholar]
  • 19. Allen VM, Jilwah N, Joseph KS, et al. The influence of hospital closures in nova Scotia on perinatal outcomes. Journal of Obstetrics and Gynaecology Canada 2004;26:1077–85. [DOI] [PubMed] [Google Scholar]
  • 20. Hutcheon JA, Riddell CA, Strumpf EC, et al. Safety of labour and delivery following closures of obstetric services in small community hospitals. CMAJ 2017;189:E431–6. 10.1503/cmaj.160461 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Le Coutour X, Infante-Rivard C, Danzon A. [Regionalization of health care and obstetric practice]. Rev Epidemiol Sante Publique 1990;38:211–20. [PubMed] [Google Scholar]
  • 22. Allen VM, Jilwah N, Joseph KS, et al. The influence of hospital closures in nova Scotia on perinatal outcomes. J Obstet Gynaecol Can 2004;26:1077–85. 10.1016/s1701-2163(16)30435-2 [DOI] [PubMed] [Google Scholar]
  • 23. Bhoopalam PS, Watkinson M. Babies born before arrival at hospital. Br J Obstet Gynaecol 1991;98:57–64. 10.1111/j.1471-0528.1991.tb10312.x [DOI] [PubMed] [Google Scholar]
  • 24. Pasquier J-C, Morelle M, Bagouet S, Moret S.;, et al. Effects of residential distance to hospitals with neonatal surgery care on prenatal management and outcome of pregnancies with severe fetal malformations. Ultrasound Obstet Gynecol 2007;29:271–5. 10.1002/uog.3942 [DOI] [PubMed] [Google Scholar]
  • 25. Pilkington H, Blondel B, Drewniak N, Zeitlin J, et al. Where does distance matter? distance to the closest maternity unit and risk of foetal and neonatal mortality in France. Eur J Public Health 2014;24:905–10. 10.1093/eurpub/ckt207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Fougner B, Nakling J. [Deliveries during transportation and shortly after admission to hospital]. Tidsskr Nor Laegeforen 2000;120:1288–90. [PubMed] [Google Scholar]
  • 27. Ovaskainen K, Ojala R, Gissler M, et al. Out-Of-Hospital deliveries have risen involving greater neonatal morbidity: risk factors in out-of-hospital deliveries in one university hospital region in Finland. Acta Paediatr 2015;104:1248–52. 10.1111/apa.13117 [DOI] [PubMed] [Google Scholar]
  • 28. Lisonkova S, Sheps SB, Janssen PA, et al. Birth outcomes among older mothers in rural versus urban areas: a residence-based approach. J Rural Health 2011;27:211–9. 10.1111/j.1748-0361.2010.00332.x [DOI] [PubMed] [Google Scholar]
  • 29. Dummer TJB, Parker L. Hospital accessibility and infant death risk. Arch Dis Child 2004;89:232–4. 10.1136/adc.2003.030924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Paranjothy SW, Gong K, et al. Perinatal outcomes and travel time to maternity services: analysis of birth outcome data in Wales from 1995 to 2009. Archives of disease in childhood: fetal and neonatal edition conference: 16th annual conference of the British maternal and fetal medicine Society Dublin Ireland conference publication: 2013; 98, 2013. [Google Scholar]
  • 31. Paranjothy S, Watkins WJ, Rolfe K, et al. Perinatal outcomes and travel time from home to hospital: Welsh data from 1995 to 2009. Acta Paediatr 2014;103:e522–7. 10.1111/apa.12800 [DOI] [PubMed] [Google Scholar]
  • 32. Combier E, Charreire H, Le Vaillant M, et al. Perinatal health inequalities and accessibility of maternity services in a rural French region: closing maternity units in Burgundy. Health Place 2013;24:225–33. 10.1016/j.healthplace.2013.09.006 [DOI] [PubMed] [Google Scholar]
  • 33. Nguyen M-L, Lefèvre P, Dreyfus M. [Maternal and neonatal outcomes of unplanned deliveries]. J Gynecol Obstet Biol Reprod 2016;45:86–91. 10.1016/j.jgyn.2015.02.002 [DOI] [PubMed] [Google Scholar]
  • 34. Renesme L, Garlantézec R, Anouilh F, et al. Accidental out-of-hospital deliveries: a case-control study. Acta Paediatr 2013;102:e174–7. 10.1111/apa.12156 [DOI] [PubMed] [Google Scholar]
  • 35. Ravelli A, K. J.; De, Groot; M, et al. Travel time from home to hospital and intrapartum and neonatal mortality in term pregnant women. Journal of Maternal-Fetal and Neonatal Medicine 2010;23:234.20148743 [Google Scholar]
  • 36. Ravelli A, K. J.; De, Groot; M, et al. Travel time from home to hospital and adverse perinatal outcomes in women at term in the Netherlands. Obstetrical and Gynecological Survey 2011;66:396–8. [DOI] [PubMed] [Google Scholar]
  • 37. Ravelli A, K. J.; de, Groot; M, et al. Travel time from home to hospital and adverse perinatal outcomes in women at term in the Netherlands. BJOG: An International Journal of Obstetrics & Gynaecology 2011;118:457–65. [DOI] [PubMed] [Google Scholar]
  • 38. Ravelli AEM, Erwich J, Brouwers HAA, et al. H.O.PC., Neoned* & B.W.J. Mol. Perinatale sterfteverschillen in de negen perinatale zorgregio’s Nederlands tijdschrift voor. Obstetrie & Gynaecologie 2012;125:270–7. [Google Scholar]
  • 39. Stolp I, Smit M, Luxemburg S, et al. Ambulance transfer in case of postpartum hemorrhage after birth in primary midwifery care in the Netherlands: a prospective cohort study. Birth 2015;42:227–34. 10.1111/birt.12171 [DOI] [PubMed] [Google Scholar]
  • 40. Engjom HM NH, Hoydal E, Norheim O. Obstetric health system structure and perinatal outcomes in Norway. Int J Gynaecol Obstet 2015;131:E487–8. [Google Scholar]
  • 41. Engjom HM, Morken N-H, Høydahl E, et al. Increased risk of Peripartum perinatal mortality in unplanned births outside an institution: a retrospective population-based study. Am J Obstet Gynecol 2017;217:210.e1–2. 10.1016/j.ajog.2017.03.033 [DOI] [PubMed] [Google Scholar]
  • 42. Darling EK, Lawford KMO, Wilson K, et al. Distance from home birth to emergency obstetric services and neonatal outcomes: a cohort study. J Midwifery Womens Health 2019;64:170–8. 10.1111/jmwh.12896 [DOI] [PubMed] [Google Scholar]
  • 43. Grzybowski S, Stoll K, Kornelsen J. Distance matters: a population based study examining access to maternity services for rural women. BMC Health Serv Res 2011;11:147. 10.1186/1472-6963-11-147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Grzybowski S, Stoll K, Kornelsen J. The outcomes of perinatal surgical services in rural British Columbia: a population-based study. Can J Rural Med 2013;18:123–9. [PubMed] [Google Scholar]
  • 45. Grzybowski S, Fahey J, Lai B, Lai John;, Zhang Barbara;, et al. The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis. BMC Health Serv Res 2015;15:410. 10.1186/s12913-015-1034-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Stoll K, Kornelsen J. Midwifery care in rural and remote British Columbia: a retrospective cohort study of perinatal outcomes of rural parturient women with a midwife involved in their care, 2003 to 2008. J Midwifery Womens Health 2014;59:60–6. 10.1111/jmwh.12137 [DOI] [PubMed] [Google Scholar]
  • 47. Aoshima K, Kawaguchi H, Kawahara K. Neonatal mortality rate reduction by improving geographic accessibility to perinatal care centers in Japan. J Med Dent Sci 2011;58:29–40. [PubMed] [Google Scholar]

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