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. 2015 Feb 26;12(4):808–825. doi: 10.1111/mcn.12176

Severe maternal morbidity and breastfeeding outcomes in the early post‐natal period: a prospective cohort study from one English maternity unit

Marie Furuta 1,, Jane Sandall 2, Derek Cooper 3, Debra Bick 3
PMCID: PMC6860128  PMID: 25720327

Abstract

Previous research has identified potential issues of establishing and maintaining breastfeeding among women who experience severe maternal morbidity associated with pregnancy and birth, but evidence in the UK maternity population was scarce. We explored the association between severe maternal morbidity and breastfeeding outcomes (uptake and prevalence of partial and exclusive breastfeeding) at 6 to 8 weeks post‐partum in a UK sample. Data on breastfeeding outcomes were obtained from a large cohort study of women who gave birth in one maternity unit in England to assess the impact of women's experiences of severe maternal morbidity (defined as major obstetric haemorrhage, severe hypertensive disorder or high dependency unit/intensive care unit admission) on their post‐natal health and other important outcomes including infant feeding. Results indicated that among women who responded (n = 1824, response rate = 53%), there were no statistically significant differences in breastfeeding outcomes between women who did or did not experience severe morbidity, except for women with severe hypertensive disorder who were less likely to breastfeed either partially or exclusively at 6 to 8 weeks post‐partum. Rather, breastfeeding outcomes were related to multi‐dimensional factors including sociodemographic (age, ethnicity, living arrangement), other pregnancy outcomes (neonatal intensive care unit admission, mode of birth, women's perceived control during birth) and post‐natal psychological factors (depressive symptoms). Women who experience severe maternal morbidity can be reassured that establishing successful breastfeeding can be achieved. More studies are required to understand what support is best for women who have complex health/social needs to establish breastfeeding.

Keywords: epidemiology, breastfeeding, breastfeeding initiation, post‐natal care, post‐partum, pregnancy outcomes

Introduction

A large body of epidemiological evidence has shown that more health benefits arise from breastfeeding than from formula feeding for both mother and baby (Dyson et al. 2008; Feldens et al. 2012; de Jager et al. 2013). For the baby, the potential benefits include a reduction of the rate of infant mortality, preventable infections and unnecessary paediatric admissions in infancy (Victora et al. 1989; Kramer et al. 2001; Guilbert et al. 2007; Ip et al. 2007; Hetzner et al. 2009), a reduction of the risk of obesity and type II diabetes and the improvement of general well‐being in childhood (Mayer et al. 1988; Virtanen et al. 1991; Karjalainen et al. 1994). For the mother, the benefits include a lower risk of developing epithelial ovarian cancer (Gwinn et al. 1990; Danforth et al. 2007; Jordan et al. 2010, 2012) and breast cancer (United Kingdom National Case‐Control Study Group 1993; Ip et al. 2007) compared with those who do not breastfeed.

Given the strong evidence regarding the benefits of breastfeeding, the World Health Organization (WHO), in the global strategy on infant and young child feeding, recommends exclusive breastfeeding from birth of the baby to 6 months of age (World Health Organization 2002). This guideline was adopted by the Department of Health in England (Department of Health 2003a, 2003b) and promotion of exclusive breastfeeding is one of the health policy priorities across countries in the United Kingdom (Department of Health 2002, 2004a, 2004b; NICE 2008; Department of Health Social Services and Public Safety 2013). Despite this policy position, the United Kingdom has had one of the lowest exclusive breastfeeding rates and has ranked second lowest among 32 countries in the WHO European Region for the rate of at least partially breastfed children aged 6 months (Dyson et al. 2006; Agboado et al. 2010; Cattaneo et al. 2010). The most recent UK‐wide infant feeding survey indicated that the initial breastfeeding rate across the UK was 81% in 2010; the rate included all babies whose mothers put them to the breast, even if this was on one occasion only, as well as babies given expressed breast milk (Health and Social Care Information Centre 2012). Prevalence of exclusive breastfeeding – defined as ‘the proportion of all babies who have only ever been given breast milk up to specific ages and who have never been fed formula, solid foods, or any other liquids’ (p. 14) – was 69% at birth. The rate had fallen to less than half of all mothers (46%) at 1 week and further decreased to around a quarter (23%) by 6 weeks and to 1% by 6 months (Health and Social Care Information Centre 2012).

A number of previous studies in the United Kingdom and other countries have reported that sociodemographic characteristics of mothers are associated with breastfeeding practice. Women who are younger, white, unmarried, have given birth to their first baby, have fewer qualifications and live in more deprived areas are less likely to initiate breastfeeding and more likely to only maintain a short duration of exclusive breastfeeding (Dennis 2002; O'Brien et al. 2008, 2009; Bonet et al. 2013). Studies have also shown a potential negative impact of a psychologically traumatic birth on mothers' breastfeeding experiences; e.g. traumatic birth can lead to distressing impediments that reduce women's breastfeeding attempts (Beck & Watson 2008) as well as a potential negative correlation between psychological factors such as depressive symptoms and exclusive breastfeeding (de Jager et al. 2013).

Few studies have examined the impact of women's experiences of severe maternal morbidity on breastfeeding outcomes. One recent study in Australia identified the potential issues of a delay in establishing breastfeeding among women who experienced severe maternal morbidity because of the separation from their babies as a result of their admission to the intensive care unit (ICU)/high dependency unit (HDU) or because of special care required for their babies (Thompson et al. 2010). Given the increase in the overall rate of severe maternal morbidity in many developed countries (CMACE 2011; Callaghan et al. 2012), further study is necessary to examine the link between maternal morbidity and breastfeeding outcomes to provide appropriate support for women following the experience, both for those who planned to breastfeed and for women who may consider that breastfeeding could be problematic following an adverse event.

The purpose of the present study is to describe the prevalence of breastfeeding and explore its association with maternal morbidity. It also explores the factors associated with any (at least partially breastfeeding) or exclusive breastfeeding at 6 to 8 weeks post‐partum when routine post‐natal care ends.

Key messages.

  • Little is known regarding the association between women's experiences of severe maternal morbidity, including major obstetric haemorrhage, severe hypertensive disorder or high dependency unit/intensive care unit admission and breastfeeding outcomes.

  • In a sample of women who gave birth in one maternity unit in England, there was no evidence to support an association with severe maternal morbidity except for women with severe hypertensive disorders who were less likely to breastfeed either partially or exclusively at 6 to 8 weeks post‐partum.

  • Women who experience severe maternal morbidity can be reassured that establishing successful breastfeeding can be achieved with appropriate care and support.

Materials and methods

Data were obtained from a large cohort study conducted in an inner city maternity unit in England that assessed the impact of severe maternal morbidity on women's post‐natal health and well‐being, which included breastfeeding as one of the predefined secondary outcomes of interest. Primary outcomes were post‐traumatic stress disorder (PTSD) symptoms and the findings were presented elsewhere (Furuta et al. 2014). Other secondary outcomes included depression, general health status and the use of health services during the 6 to 8‐week post‐partum period. Women who gave birth under the care of the unit (which included obstetric‐led care, a midwifery‐led birth centre or offered women planned the home birth) between June and December 2010 were invited to participate. The criterion for inclusion was birth after 24 weeks of gestation, including women who planned to give birth at the unit but had an unplanned home birth. Exclusion criteria were women unable to read or understand English, women under 16 years old and those who experienced a stillbirth or neonatal death. Full ethics approval was obtained from the National Health Service Research Ethics Committee (REC 10/H0772/15) and the study site.

Study variables

Breastfeeding outcomes

Breastfeeding outcomes were measured by a set of questions validated adapted from the hospital‐to‐home post‐natal study (Bick et al. 2011). Women were first asked if they had breastfed their babies at any time since they were born. If their answer was yes, they were then asked, ‘Are you still breastfeeding your baby?’ There were three answer options: ‘no, stopped’, ‘yes, breast plus formula milk’ and ‘yes, only breast milk’. To examine factors associated with exclusive breastfeeding at 6 to 8 weeks post‐partum, we created a binary outcome, ‘exclusive breast milk: yes or no’, by combining the groups of women who never breastfed, who stopped breastfeeding and those were currently feeding their babies breast milk and formula at 6 to 8 weeks post‐partum. We also created a binary outcome, ‘any breast milk: yes or no’, to explore the factor related to at least partially breastfeeding (including exclusive or partial breastfeeding). For this outcome, ‘only breast milk’ and ‘breast plus formula milk’ were combined to be ‘yes’, while never breastfed or stopped breastfeeding were considered to be ‘no’.

Severe maternal morbidity

Although there is no universally accepted definition of severe maternal morbidity (Ronsmans 2001a, 2001b), we defined it as (1) major obstetric haemorrhage; (2) severe hypertensive disorder; and/or (3) admission to a HDU or ICU after delivery following literature review on severe maternal morbidity in population‐based studies in the United Kingdom and other high‐income countries (Waterstone et al. 2001; Penney & Brace 2007; Penney et al. 2007; Zwart et al. 2008; Lennox & Marr 2010, 2011; Lennox 2011). The first two conditions are considered disease‐based severe maternal morbidity while the last one is management‐based severe maternal morbidity. There was a considerable overlap between diseased‐based and management‐based severe maternal morbidity, as almost all severe maternal complications after giving birth at the study site would have been managed in HDU (ICU only if ventilation was required). However, it was necessary to include both diseased‐based and management‐based severe maternal morbidity because HDU/ICU admission could depend on the availability of beds in these units (Say et al. 2004; Vais & Bewley 2006); this might lead to the underestimation of the cases. HDU/ICU admission also allowed less frequent types of severe maternal morbidity to be identified. Women who had at least one condition of severe maternal morbidity as mentioned earlier (i.e. major obstetric haemorrhage, severe hypertensive disorder or HDU/ICU admission) were considered to have experienced severe maternal morbidity, while the remaining women were considered not to have experienced severe maternal morbidity. Categorical variables (ordinal) were created according to the severity of obstetric haemorrhage and hypertensive disorder. Table 1 presents definitions of severe maternal morbidity used in this study.

Table 1.

Definitions of severe and mild maternal morbidity

Severe maternal morbidity Mild maternal morbidity None
Obstetric haemorrhage

Major obstetric haemorrhage:

Estimated blood loss volume ≥1500 mL (either vaginal or Caesarean section related) or transfused four or more units of blood during labour, birth or immediately after birth (Waterstone et al. 2001)

Mild obstetric haemorrhage:

Estimated blood loss volume ≥500 mL but <1500 mL or one to three units of transfused blood

No obstetric haemorrhage:

Estimated blood loss volume <500 mL and no blood transfusion

Hypertensive disorder

Eclampsia:

Convulsive condition associated with pre‐eclampsia (Royal College of Obstetricians and Gynaecologists 2006)

Severe pre‐eclampsia:

Pre‐eclampsia with an existence of blood pressure of 160/110 mmHg (NICE 2010)

HELLP syndrome:

Haemolysis [abnormal peripheral blood smear or raised total bilirubin concentration (>20.5 μmol L−1)], raised liver enzyme activity [raised aspartate aminotransferase (>70 U L−1)] or raised

γ‐glutamyltransferase [>70 U L−1) and low platelets (<100 × 109 L−1)] (Waterstone et al. 2001)

Pre‐eclampsia:

New hypertension (a diastolic blood pressure of 90 mmHg or a systolic blood pressure >140 mmHg) and new onset proteinuria (as shown by 1+ or more, on dipstick testing, a protein/creatinine ratio of 30 mg mmol−1 or more on random sample or a urine protein excretion of 0.3 g or more per 24 h) at or after 20 weeks of pregnancy (Guy's & St. Thomas' NHS Foundation 2009)

Hypertension:

Hypertension at or after 20 weeks gestation in a women with a diastolic blood pressure of 90 mmHg or a systolic blood pressure >140 mmHg or more (Guy's & St Thomas' NHS Foundation 2009)

No hypertensive disorder:

None of conditions with severe/mild hypertensive disorder mentioned here

Intensive care unit (ICU)/high dependency unit (HDU) admission

ICU/HDU admission:

ICU/HDU admission after giving birth. Admission for one of the above conditions or for any other reason

Not applicable No ICU/HDU admission

HELLP syndrome, a syndrome involving haemolysis, elevated liver enzymes low platelets.

Other variables

As potential factors associated with breastfeeding outcomes, we included sociodemographic characteristics [maternal age, parity, ethnicity based on the classification of the Office for National Statistics (2011), educational qualification, index of multiple deprivation (IMD) (Department for Communities and Local Government 2011)] and pre‐existing health conditions [body mass index (BMI) and self‐reported mental health history identified prior to birth] as potential confounders. A woman's self‐reported mental health history was treated as a binary variable, namely ‘yes’ if the woman had at least one mental health problem at the time of her maternity booking for the index pregnancy – i.e. a history of schizophrenia, bipolar affective disorder, depression or any other psychotic illness; history of post‐partum psychotic illness (for multiparous women); history of inpatient or outpatient treatment by a psychiatrist or mental health team; ‘felt down, depressed or hopeless’ and/or ‘little interest or pleasure in doing things’ during pregnancy (in the past month); family history of severe mental illness in the post‐natal period; or family history of bipolar affective disorder (manic depression) – or ‘no’ if the woman did not report any of the conditions mentioned earlier.

Variables related to pregnancy outcomes were also included [mode of birth, place of birth, neonatal outcomes (gestational age at birth, infant birth weight, infant Apgar score at 1 and 5 min and neonatal intensive care unit (NICU) admission)] and women's perceived control during labour and birth using the labour agentry scale (LAS; Hodnett & Simmons‐Tropea 1987). As for psychosocial factors during the post‐natal period, several validated self‐report measures were included; perceived social support was measured at 6 to 8 post‐partum with the social support scale (Baker & Taylor 1997; O'Connor et al. 1998, 1999a, 1999b) and depressive symptoms were measured with the Edinburgh postnatal depression scale (EPDS) (Cox et al. 1987). PTSD symptoms associated with the index birth were measured using the impact of event scale (IES) (Horowitz et al. 1979) and general health status of the women after giving birth was measured with the short‐form 12 (SF‐12), which produced two summary scores: a physical component score and a mental component score (Ware et al. 1996; Jenkinson et al. 1997). The number of home visits by midwives and health visitors during the post‐natal period were also collected.

Data collection

Eligible women were provided with the study information package, which contained an invitation letter with a study opt‐out sheet and a research information leaflet, by midwives before discharge from the hospital or at home following birth (if they gave birth at home). Women who did not wish to take part were asked to return the opt‐out sheet before receiving a questionnaire. All women were informed that they could withdraw from the study at any time. Following cognitive testing of the questionnaire (Willis 2005) with a small number of post‐natal women (n = 4), a follow‐up questionnaire was posted to women at 6 to 8 weeks after the birth to obtain information on post‐natal outcomes. One reminder was sent 2 weeks after the first mailing.

Information on baseline characteristics, pregnancy, birth and neonatal outcomes of all eligible women who did not opt out were extracted from the electronic inpatient maternity records (data sets did not include any personally identifiable data except for a study ID). Data from the maternity records were then merged with data from the post‐natal questionnaire. Following this, all identifiable data on women who did not return the post‐natal questionnaire or did not provide consent for researchers to access their maternity records were removed. This data set was only used to compare baseline characteristics of respondents and non‐respondents. A separate data set was then created that only included data from women who gave consent for their maternity records to be accessed, which was used for the main analysis. Details of data collection are outlined elsewhere (Furuta et al. 2012).

The sample size was calculated prior to the study to ensure a sufficient sample to provide 80% power to detect a significant (at the 5% level) difference in PTSD symptoms (our main outcome of interest) among women who did or did not experience severe morbidity. Czarnocka & Slade (2000) found that approximately 2% of women from two hospitals in Sheffield, England, had clinically significant levels of PTSD symptoms as measured by the IES (≥20 on both intrusion and avoidance subscales) at 6 weeks post‐partum. Engelhard et al. (2002) found that 28% of women had PTSD symptoms (using a self‐reported measurement, the PTSD symptom scale) within 2 years following births complicated by severe pre‐eclampsia. The estimate of the incidence of severe maternal morbidity was based on the findings of Waterstone et al. (2001), who found that 1.2% of women in their sample from England experienced severe maternal morbidity (defined as eclampsia, severe pre‐eclampsia, HELLP syndrome (a syndrome involving haemolysis, elevated liver enzymes low platelets), severe haemorrhage, severe sepsis and uterine rupture). Based on these findings, a sample size of 1585 was required. As PTSD symptoms are relatively rare, we assumed that there was a sufficiently large sample size for other outcomes, including breastfeeding outcomes for the current study.

Statistical analysis

Prevalence of breastfeeding and its association with women's experience of severity of maternal morbidity

Descriptive frequencies and 95% confidence intervals (CI) were initially calculated for breastfeeding outcomes at 6 to 8 weeks post‐partum. The outcomes were then compared between groups of women with and without severe maternal morbidity (all severe maternal morbidity cases as well as specific conditions of severe maternal morbidity) using Pearson's chi‐square tests or Fisher's exact tests as needed. Further analysis was conducted by developing a series of logistic regression models to examine the association between women's experience of severe maternal morbidity and breastfeeding outcomes while adjusting for women's baseline characteristics – maternal age at delivery, parity, ethnicity, educational qualification and living in more/less deprived areas, which were potential confounders identified in previous studies (Dennis 2002; O'Brien et al. 2008, 2009; Bonet et al. 2013).

Factors associated with ‘any’ or ‘exclusive’ breastfeeding

Bivariate analysis (binary logistic regression and cross‐tabulation) was conducted to assess the relationship of variables of interest (women's baseline characteristics, pregnancy‐related outcomes, post‐natal health) to breastfeeding outcomes (at least partially breastfeeding and exclusive breastfeeding, respectively). Multiple logistic models were then developed to relate those factors that were approaching statistical significance (P ≤ 0.1) on bivariate binary logistic regression to breastfeeding outcomes. A backward stepwise model was chosen. Development of backward stepwise models begins with all the independent variables in the model; variables are then removed one at a time, the least significant first, until no more variables may be removed without significantly (at P = 0.1) affecting the model. This provides an equation estimating odds ratio while controlling other variables. For missing data, pairwise deletion was performed. No adjustments were made for multiple testing. Data analysis was undertaken using SPSS v.19.

Results

Of the potentially eligible women (n = 3533), questionnaires were sent to 3509 women at 6 to 8 weeks after giving birth after removing 24 women who opted out. Fifty‐five women could not be reached by mail. A total of 1841 completed questionnaires were returned, although 17 had to be excluded because they were completed by women who had suffered a stillbirth or miscarriage (n = 5); most questions were not completed (n = 2) or consent to access clinical records was not provided (n = 10). The response rate was 53% (n = 1824), excluding the 55 women from the denominator (therefore, 52% of all eligible women). The majority of respondents (74.2%) completed the questionnaire at 6 to 8 weeks post‐natal; 93% were completed within 10 weeks.

Details of sample characteristics are described elsewhere (Furuta et al. 2014). Respondents were older, more likely to be primiparous, of white ethnicity and living in less economically disadvantaged areas compared with non‐responders. There were significantly more instrumental and fewer spontaneous vaginal births among respondents than non‐respondents, although rates of Caesarean (CS) birth (either elective or emergency) were similar. There were no differences between respondents and non‐respondents in severe maternal morbidity exposure (i.e. major obstetric haemorrhage) where data were available. Of the study respondents, 8.1% (n = 147) experienced severe maternal morbidity based on our definition of this (Table 2).

Table 2.

Severe maternal morbidity

Severe maternal morbidity Respondents (1824)
Major obstetric haemorrhage 73
Eclampsia 4
Severe pre‐eclampsia 7
HELLP syndrome 1
Intensive care unit/high dependency unit admission 103
Total (all severe maternal morbidity cases) 147

HELLP syndrome, a syndrome involving haemolysis, elevated liver enzymes low platelets. Numbers does not add up to n = 147 because some women had more than one condition.

Breastfeeding outcomes

At 6–8 weeks post‐partum, the majority of women (95%, n = 1722) reported having breastfed their baby at least once since the birth; 5% of women had never breastfed their babies. Some women (10.6%, n = 193), however, stopped breastfeeding at some point within 6–8 weeks post‐partum. The proportion of women who were breastfeeding exclusively at 6–8 weeks post‐partum was 52.1% (n = 945), while 32.2% (n = 584) of women were feeding breast and formula milk (Table 3).

Table 3.

Breastfeeding outcomes at 6–8‐week post‐partum

Breastfeeding Frequency Percentage 95% confidence interval (%)
Never breastfeeding since baby was born 91 5.0% 4.0 to 6.0
Stopped breastfeeding 193 10.6% 9.2 to 12.1
Breast milk plus formula 584 32.2% 30.1 to 34.3
Only breast milk 945 52.1% 49.8 to 54.4
(missing) (11)
Total 1824

Association between severe maternal morbidity and breastfeeding outcomes

Table 4 shows the summary of the results of bivariate analysis. Overall, there were no statistically significant differences in breastfeeding outcomes between women with and without severe maternal morbidity (defined as any of the three conditions: major obstetric haemorrhage, severe pre‐eclampsia/eclampsia/HELLP syndrome or HDU/ICU admission). Differences in breastfeeding outcomes were examined further for each condition of severe maternal morbidity. There were no statistically significant differences between the three groups of obstetric haemorrhage (major obstetric haemorrhage, mild obstetric haemorrhage and no obstetric haemorrhage). Similarly, there was no statistical difference between women with and without HDU admission, although a smaller proportion of the HDU admissions were recorded for exclusively breastfeeding women. However, despite the small number of cases in the severe PET/eclampsia/HELLP syndrome group, there was an overall statistically significant difference in breastfeeding outcomes between the three groups (none, hypertension/PET and severe PET/eclampsia/HELLP). Exclusive breastfeeding at 6–8 weeks post‐partum (n = 945) showed a decrease with increasing severity of hypertensive disorder (53.3%, 36.0% and 27.3% for these three groups). Consistently with that result, the proportion of women who had never breastfed their babies (n = 91) increased with increasing severity of hypertensive disorder (4.8%, 6.4% and 18.2%). Table 5 presents results for logistic regression analyses which found no statistically significant association between women's experiences of severe maternal morbidity and breastfeeding outcomes, while adjusting for women's baseline characteristics (maternal age at delivery, parity, ethnicity, educational qualification and living in more/less deprived areas).

Table 4.

Breastfeeding outcomes according to severe maternal morbidity status

Total N

Never

n (%)

Stopped breastfeeding

n (%)

Partially breastfeeding

n (%)

Breastfeeding only

n (%)

P
All SMM cases
No 1677 80 (4.8%) 176 (10.6%) 533 (32.0%) 877 (52.6%) 0.33
Yes 147 11 (7.5%) 17 (11.6%) 51 (34.7%) 68 (46.3%)
Obstetric haemorrhage
None: EBL < 500 mL and no BT 1137 54 (4.8%) 127 (11.2%) 351 (31.1%) 598 (52.9%) 0.21
Mild: EBL500≤, <1500 mL or BT 1–3 606 29 (4.8%) 55 (9.1%) 213 (35.4%) 305 (50.7%)
Major: EBL ≥ 1500 mL or BT 4+ 73 6 (8.2%) 10 (13.7%) 18 (24.7%) 39 (53.4%)
Hypertensive disorder
No 1688 81 (4.8%) 174 (10.4%) 525 (31.3%) 897 (53.5%) <0.001
Hypertension/PET 125 8 (6.4%) 16 (12.8%) 56 (44.8%) 45 (36.0%)
Severe PET/eclampsia/ HELLP syndrome 11 2 (18.2%) 3 (27.3%) 3 (27.3%) 3 (27.3%)
HDU admission
No 1721 86 (5.0%) 181 (10.6%) 544 (31.8%) 899 (52.6%) 0.43
Yes 103 5 (4.9%) 12 (11.7%) 40 (38.8%) 46 (44.7%)

BT, blood transfusion; EBL, estimated blood loss; HDU, high dependency unit; HELLP syndrome, a syndrome involving haemolysis, elevated liver enzymes low platelets; PET, pre‐eclampsia; SMM, severe maternal morbidity. Chi‐square test for all SMM cases, obstetric haemorrhage and HDU admission; Fisher's exact test for hypertensive disorder.

Table 5.

Association between severe maternal morbidity and breastfeeding outcomes

Any breastfeeding (n = 1529) Exclusive breastfeeding (n = 945)
ORs (95% CI) P ORs (95% CI) P
Model 1 All SMM cases (unadjusted)
SMM vs. non‐SMM 0.77 (0.50 to 1.19) 0.24 0.77 (0.55 to 1.09) 0.14
Model 2 All SMM cases (adjusted*)
SMM vs. non‐SMM 0.71 (0.45 to 1.14) 0.15 0.77 (0.54 to 1.10) 0.16

CI, confidence interval; OR, odds ratio; SMM, severe maternal morbidity (defined as any of the three conditions: major obstetric haemorrhage, severe PET/eclampsia/HELLP syndrome or high dependency unit/intensive care unit admission). *Adjusted for age, parity, ethnicity, educational qualification and living in more/less deprived areas.

Factors associated with breastfeeding outcomes

We developed a series of logistic regression models to examine factors associated with the prevalence of any breastfeeding and exclusive breastfeeding at 6–8 weeks post‐partum.

Bivariate analysis

Sociodemographic characteristics

Unadjusted odds of any breastfeeding (at least partially breastfeeding) were significantly higher for women with older age, black or Asian women compared with white women, with an educational degree or living with their husband/partner, although it was not associated with IMD. The results for exclusive breastfeeding were similar except for IMD with those living in less deprived areas as they were more likely to breastfeed exclusively. The detailed results are presented in Table 6.

Table 6.

Unadjusted bivariate logistic regression

N Any breastfeeding (n = 1529) Exclusive breastfeeding (n = 945)
ORs 95% CI P ORs 95% CI P
Age at delivery Overall < 0.001 Overall < 0.001
≤19 21 0.75 0.29 to 1.93 0.54 1.25 0.47 to 3.33 0.66
20–24 142 1 1
25–29 328 2.48 1.58 to 3.95 <0.001 2.77 1.81 to 4.25 <0.001
30–34 717 3.02 1.99 to 4.58 <0.001 3.65 2.45 to 5.42 <0.001
35–39 491 2.93 1.89 to 4.56 <0.001 2.58 1.72 to 3.88 <0.001
40+ 125 2.25 1.25 to 4.05 0.007 1.99 1.20 to 3.32 0.08
Parity
Primiparous 1184 1 1
Multiparous 640 0.94 0.72 to 1.22 0.62 0.88 0.72 to 1.06 0.19
Ethnicity Overall < 0.001 Overall < 0.001
White 1103 1 1
Black (Black African/Caribbean etc.) 432 2.03 1.43 to 2.87 <0.001 0.47 0.37 to 0.59 <0.001
Asian (Indian/Pakistani/Chinese etc.) 158 1.77 1.06 to 2.96 0.03 0.53 0.38 to 0.74 <0.001
Mixed/multiple 131 1.34 0.81 to 2.24 0.26 1.15 0.79 to 1.67 0.46
Highest education qualification Overall < 0.001 Overall < 0.001
None 84 1 1
GCSE level 204 1.05 0.61 to 1.79 0.82 1.57 0.88 to 2.80 0.13
A Level 271 1.96 1.14 to 3.38 0.15 2.95 1.69 to 5.14 <0.001
Degree 1221 4.16 2.55 to 6.78 <0.001 4.52 2.70 to 7.57 <0.001
Index of multiple deprivation Overall = 0.58 Overall = 0.02
Most 520 1 1
Second 822 1.04 0.77 to 1.41 0.80 1.41 1.13 to 1.76 0.003
Third 291 0.98 0.66 to 1.44 0.91 1.45 1.09 to 1.94 0.011
Fourth 125 1.66 0.89 to 3.09 0.11 1.49 1.01 to 2.21 0.046
Least 47 0.94 0.42 to 2.09 0.88 1.23 0.67 to 2.23 0.51
Living arrangement Overall < 0.001 Overall < 0.001
Single (no any adult) 138 1 1
With husband/partner 1476 2.07 1.36 to 3.15 0.001 2.46 1.70 to 3.55 <0.001
With parents/sisters/brothers 136 0.77 0.45 to 1.33 0.35 1.00 0.60 to 1.66 1.00
With other adults 52 1.19 0.55 to 2.59 0.65 1.81 0.95 to 3.47 0.07
Body mass index before current pregnancy Overall < 0.34 Overall < 0.001
<18.5 47 0.84 0.39 to 1.83 066 0.86 0.48 to 1.54 0.60
18.5–24.9 1129 1 1
25.0–29.9 401 0.90 0.65 to 1.23 0.49 0.63 0.50 to 0.79 <0.001
≥30.0 200 0.70 0.48 to 1.03 0.07 0.51 0.38 to 0.70 <0.001
Mental health prior to birth
No 1712 1 1
Yes 48 0.55 0.28 to 1.07 0.08 0.90 0.51 to 1.60 0.72
Place of birth Overall = 0.02 Overall < 0.001
Obstetric unit 1388 1 1
Alongside midwifery unit 348 1.66 1.16 to 2.40 0.006 1.46 1.15 to 1.86 0.002
Planned home birth 51 2.37 0.84 to 6.64 0.10 4.66 2.25 to 9.67 <0.001
BBA 37 1.03 0.42 to 2.50 0.95 1.02 0.52 to 1.98 0.95
Mode of birth Overall = 0.07 Overall < 0.001
 Spontaneous vaginal births 1002 1 1
Breech/instrument 300 0.73 0.52 to 1.04 0.08 0.79 0.61 to 1.02 0.07
Elective CS 164 0.70 0.46 to 1.09 0.11 0.51 0.37 to 0.72 <0.001
Emergency CS 358 0.69 0.50 to 0.96 0.025 0.72 0.57 to 0.92 0.008
All severe maternal morbidity cases
No 1677 1 1
Yes 147 0.77 0.50 to 1.19 0.24 0.77 0.55 to 1.09 0.14
Babies' birthweight Overall = 0.39 Overall = 0.001
<2500 g 116 1 1
≥2500, <3500 g 941 1.17 0.71 to 1.94 0.54 1.50 1.01 to 2.23 0.044
≥3500, <4500 g 730 1.36 0.81 to 2.28 0.25 1.95 1.31 to 2.92 0.001
≥4500 g 31 0.77 0.30 to 2.03 0.60 0.93 0.41 to 2.11 0.87
Gestational age at birth Overall = 0.62 Overall < 0.001
<37 145 1 1
≥37, <42 1558 1.24 0.79 to 1.93 0.35 1.68 1.19 to 2.39 0.004
≥42 121 1.12 0.59 to 2.13 0.73 2.85 1.72 to 4.72 <0.001
Apgar at 1 min
Discrete: unit = 1 Apgar score 1815 1.02 0.93 to 1.13 0.64 1.01 0.94 to 1.8 0.84
Apgar at 5 min
Discrete: unit = 1 Apgar score 1818 1.00 0.85 to 1.18 1.00 1.01 0.90 to 1.14 0.84
Neonatal intensive care unit admission
No 1735 1 1
Yes 88 0.47 0.29 to 0.76 0.002 0.47 0.30 to 0.73 0.001
Perceived control during labour/birth
Continuous: unit = 1 score on labour agentry scale 1739 1.02 1.01 to 1.03 0.003 1.01 1.00 to 1.02 0.005
Perceived social support
Continuous: unit = 1 score on SSS 1725 1.02 1.00 to 1.04 0.08 1.02 1.00 to 1.04 0.015
Post‐traumatic stress symptoms
Continuous: unit = 1 score on impact of event scale total 1765 0.99 0.99 to 1.00 0.22 0.99 0.98 to 1.00 0.001
Depression symptoms
Continuous: unit = 1 score on Edinburgh postnatal depression scale 1785 0.99 0.97 to 1.01 0.39 0.96 0.94 to 0.98 <0.001
General physical health
Continuous: unit = 1 score on PHC‐12 1704 1.00 0.99 to 1.02 0.67 1.02 1.01 to 1.03 0.001
General mental health
Continuous: unit = 1 score on MHC‐12 1704 1.01 1.00 to 1.03 0.09 1.02 1.01 to 1.03 0.001
Home visit by midwives
Continuous: unit = 1 visit 1812 1.09 0.99 to 1.19 0.07 1.08 1.01 to 1.16 0.019
Home visit by health visitors
Continuous: unit = 1 visit 1785 0.93 0.80 to 1.08 0.36 0.84 0.74 to 0.94 0.003

BBA, born before arrival; CI, confidence interval; CS, caesarean section; GCSE, General Certificate of Secondary Education; MHC‐12, mental component summary of the 12‐Item Short Form Health Survey (SF‐12); OR, odds ratio; PHC‐12, physical component summary of SF‐12.

Pre‐existing health condition

There were no associations between any breastfeeding outcomes and either BMI or self‐reported mental history. However, women with higher BMI were less likely to breastfeed exclusively [e.g. BMI ≥ 30 vs. 18.5–24.9: unadjusted odds ratio (OR) = 0.51, 95% CI = 0.38 to 0.70, P < 0.001].

Pregnancy outcomes

Odds of any breastfeeding were higher for women who gave birth in the alongside midwifery‐led care unit compared with women who gave birth at in the obstetric‐led unit (unadjusted OR = 1.66, 95% CI = 1.16 to 2.40, P = 0.006), and lower for women who had emergency CS compared with women who had spontaneous vaginal birth (unadjusted OR = 0.69, 95% CI = 0.50 to 0.96, P = 0.025). Similarly, odds of exclusive breastfeeding were lower among women who had CS, either an emergency (unadjusted OR = 0.72, 95% CI = 0.57 to 0.92, P = 0.008) or elective procedure (unadjusted OR = 0.51, 95% CI = 0.37 to 0.72, P < 0.001) compared with women who had spontaneous vaginal birth, and higher among those who gave birth in the alongside midwifery‐led unit (unadjusted OR = 1.46, 95% CI = 1.15 to 1.86, P = 0.002) or had a planned home birth (unadjusted OR = 4.66, 95% CI = 2.25 to 9.67, P < 0.001) compared with women who gave birth at in the obstetric‐led unit.

Babies' birthweight (e.g. 3500–4500 g vs. <2500 g: unadjusted OR = 1.95, 95% CI = 1.31 to 2.92, P < 0.001), gestational age (e.g. ≥42 vs. <37 weeks: unadjusted OR = 2.85, 95% CI = 1.72 to 4.72, P < 0.001) and whether the baby was admitted to NICU (yes vs. no: unadjusted OR = 0.47, 95% CI = 0.30 to 0.73, P = 0.001) were also significantly associated with exclusive breastfeeding, of which only NICU admission was associated with any breastfeeding outcomes (unadjusted OR = 0.47, 95% CI = 2.87 to 0.76, P = 0.002). Additionally, breastfeeding (both any and exclusive) had a statistically significant positive relationship with women's perceived control during labour and birth (measured with LAS). However, neither Apgar score at 1 or 5 min was significantly associated with exclusive breastfeeding. Women's experience of severe maternal morbidity was also not significantly related.

Post‐natal factors

None of the post‐natal factors selected in this study were statistically significantly associated with any breastfeeding. However, there was positive association between women's higher level of perceived social support and exclusive breastfeeding (OR = 1.015, 95% CI = 1.001 to 1.039, P = 0.015). In addition, women who had lower level of general health status (OR = 1.02, 95% CI = 1.01 to 1.03, P < 0.001 for both physical and mental) and higher level of PTSD symptoms (OR = 0.99, 95% CI = 0.98 to 0.996, P < 0.001) and depressive symptoms (OR = 0.96, 95% CI = 0.94 to 0.98, P < 0.001) were less likely to breastfeed exclusively. Exclusive breastfeeding also had positive association with the number of post‐natal home visits by midwives but had negative association with the number of home visits by health visitors.

Multivariable logistic regression analysis

Based on bivariate analysis, a set of potential predictors (P < 0.1) that could be investigated in relation to the probability of any breastfeeding and exclusive breastfeeding were selected. For any breastfeeding, variables entered in the multivariable logistic regression were: age, ethnicity, education qualification, living arrangement, mental health history, place of birth, mode of birth, NICU admission and women's perceived control during labour and birth (measured with the LAS). For exclusive breastfeeding, variables entered in the multivariable logistic regression were: age, ethnicity, education qualification, IMD, living arrangement, BMI, place of birth, mode of birth, baby's birthweight, gestational age at delivery, NICU admission, women's perceived control during labour and birth (measured with the LAS), perceived level of social support during post‐natal period (measured with social support scale) and post‐natal PTSD symptoms (measured with IES), depressive symptoms (measured with EPDS) and general physical and mental health (measured with SF‐12) as well as home visits by midwives and health visitors during post‐natal period. By using the backward method for the model selection, we had the final outcome as shown in Table 7.

Table 7.

Multivariable logistic regression: factors associated with breastfeeding outcomes

N Any breastfeeding (n = 1529) Exclusive breastfeeding (n = 945)
ORs 95% CI P ORs 95% CI P
Age at delivery Overall = 0.001
≤19 21 2.37 0.66 to 8.43 0.18
20–24 142 1
25–29 328 2.62 1.52 to 4.50 0.001
30–34 717 2.96 1.75 to 4.99 <0.001
35–39 491 1.91 1.12 to 3.27 0.018
40+ 125 2.05 1.07 to 3.90 0.30
Ethnicity Overall = 0.001 Overall = 0.001
White 1103 1 1
Black 432 4.31 2.68 to 6.92 <0.001 0.72 0.53 to 0.97 0.03
Asian 158 1.87 1.05 to 3.33 0.03 0.53 0.36 to 0.78 0.001
Mixed/multiple 131 2.76 1.38 to 5.51 0.004 1.44 0.91 to 2.29 0.12
Highest education qualification Overall = 0.001 Overall = 0.001
None 84 1 1
GCSE level 204 1.06 0.52 to 2.18 0.87 1.39 0.62 to 3.15 0.42
A Level 271 2.06 1.02 to 4.16 0.045 2.96 1.37 to 6.39 0.006
Degree 1221 5.54 2.84 to 10.80 <0.001 4.29 2.05 to 9.00 <0.001
Living arrangement Overall = 0.001
Single (no any adult) 138 1
With husband/partner 1476 1.64 0.92 to 2.94 0.09
With parents/sisters/brothers 136 0.49 0.24 to 0.98 0.045
With other adults 52 1.29 0.45 to 3.71 0.64
Place of birth Overall = 0.057
Obstetric unit 1388 1
Alongside midwifery unit 348 1.06 0.77 to 1.46 0.70
Planned home birth 51 3.29 1.38 to 7.87 0.007
BBA 37 1.30 0.61 to 2.78 0.49
Mode of birth Overall = 0.023
Spontaneous vaginal births 1002 1
Breech/instrument 300 0.72 0.52 to 1.00 0.05
Elective CS 164 0.57 0.37 to 0.87 0.009
Emergency CS 358 0.71 0.52 to 0.98 0.04
Neonatal intensive care unit admission
No 1735 1 1
Yes 88 0.51 0.28 to 0.93 0.027 0.53 0.30 to 0.92 0.02
Perceived control during labour/ birth
Continuous: unit = 1 score on labour agentry scale 1739 1.02 1.01 to 1.03 0.006
Depression symptoms
Continuous: unit = 1 score on Edinburgh postnatal depression scale 1785 0.96 0.94 to 0.98 <0.001

BBA, born before arrival; CI, confidence interval; GCSE, General Certificate of Secondary Education; OR, odds ratio.

Factors associated with any breastfeeding after controlling for other factors entered in the model were ethnicity, education qualification, living arrangement, baby's NICU admission and women's perceived control during labour and birth. Women were more likely to breastfeed at least partially, if they were educated with a degree level (OR = 5.54, 95% CI = 2.84 to 10.80, P < 0.001) than those who had no education qualification, women in ethnic minority compared with white women (black: OR = 4.31, 95% CI = 2.68 to 6.92, P < 0.000; Asian: OR = 1.87, 95% CI = 1.05 to 3.33, P = 0.03; and mixed ethnicity: OR = 2.76, 95% CI = 1.38 to 5.51, P = 0.004). Statistical significance of living with husband/partner and any breastfeeding disappeared after controlling for other variables, but women who were living with parents/sisters/brothers were less likely to have at least partially breastfed compared with women living alone (OR = 0.49, 95% CI = 0.24 to 0.98, P = 0.045) as were women whose babies were admitted to NICU (OR = 0.51, 95% CI = 0.28 to 0.93, P = 0.027). Women's higher perceived control during labour and birth remained statistically significant.

Factors statistically significantly associated with exclusive breastfeeding were age, ethnicity, education, place of birth, mode of birth, NICU admission and depressive symptoms during the post‐natal period. Exclusive breastfeeding was more likely to be practised among women who were older (e.g. women aged 30–34 vs. aged 20–24: OR = 2.96, 95% CI = 1.75 to 4.99, P < 0.001); women who left school with a higher level of qualification (OR = 2.96, 95% CI = 1.37 to 6.39, P = 0.006) or a degree (OR = 4.29, 95% CI = 2.05 to 9.00, P < 0.001) compared with women with no higher educational qualifications; and women who had planned home birth compared with women who gave birth in the obstetric‐led unit (OR = 3.29, 95% CI = 1.38 to 7.87, P = 0.007). On the other hand, exclusive breastfeeding was less likely to be practised among black women (OR = 0.72, 95% CI = 0.53 to 0.97, P = 0.03) and Asian women (OR = 0.53, 95% CI = 0.36 to 0.78, P = 0.001) compared with white women; women who had instrumental birth (OR = 0.72, 95% CI = 0.52 to 1.00, P = 0.05), elective CS (OR = 0.57, 95% CI = 0.37 to 0.87, P < 0.01) and emergency CS (OR = 0.71, 95% CI = 0.52 to 0.98, P = 0.04) compared with those who had spontaneous vaginal birth; women whose babies were admitted to NICU (OR = 0.53, 95% CI = 0.30 to 0.92, P = 0.02) and those who had depressive symptoms during post‐natal period (OR = 0.96, 95% CI = 0.94 to 0.98, P < 0.001).

Discussion

In this study, the rate of exclusive breastfeeding at 6 to 8 weeks post‐partum was 52%, similar to the findings of an Australian study (54%) which questioned women at 2 months post‐partum (Henderson et al. 2003). The rate in the current study, however, was higher compared with the rates reported in the UK‐wide infant feeding survey (Health and Social Care Information Centre 2012, Bolling et al. 2007), which were 21% and 23% at 6 weeks post‐partum in 2005 and 2010, respectively. These differences can potentially be explained by the variations in the definitions used to measure the prevalence of exclusive breastfeeding. In the infant feeding survey, it was defined as ‘the proportion of all babies who have only ever been given breast milk up to specific ages and who have never been fed solid foods, or any other liquids’ (Health and Social Care Information Centre 2012, p. 14) while the rate in our study was the proportion of women who provided only breast milk to their babies at 6–8 weeks post‐partum, without giving formula milk. This number in the current study would therefore include women who had fed formula milk in the past, such as until feeding on breast milk was established.

Our finding that severe maternal morbidity (overall, obstetric haemorrhage, ICU/HDU admission) was not significantly associated with breastfeeding outcomes at 6 to 8 weeks post‐partum may be explained by the argument put forward by Thompson et al. (2010) in their study of Australian women's breastfeeding experiences following a significant primary post‐partum haemorrhage. In their report, these researchers stated that ‘even if full breastfeeding cannot be established immediately, there is the prospect of doing so later, and this offers potential for interventions to support and encourage women to continue breastfeeding following a significant PPH despite early difficulties’ (p. 10). The only exception in the current study was hypertensive disorder, which showed a statistically significant difference in breastfeeding outcomes across the different levels of severity of hypertensive disorder groups. This result may be related to the babies' conditions, e.g. NICU admission, because babies are more likely to be premature in severe cases of maternal hypertensive disorders. This result may also reflect the fact that some women with hypertensive disorders in pregnancy probably received antihypertensive treatment during the post‐natal period and these women might have been advised against breastfeeding by a clinician following the National Institute for Health and Clinical Excellence clinical guidelines on hypertension in pregnancy (NICE 2010). The guidelines state that in the management of hypertensive disorders during pregnancy, for most drugs to date, ‘there is insufficient evidence on the safety in babies receiving breast milk’ (p. 32). However, with the very small number of cases of severe hypertensive disorder, controlling for other factors was not possible and there may be an issue of generalizability of findings. Further studies are required with larger samples.

Regardless of women's experiences of severe maternal morbidity, various factors were independently associated with breastfeeding practice at 6–8 weeks post‐partum, the majority of which have been previously identified by other research to influence breastfeeding outcomes (Dennis 2002; Kelly et al. 2006; Health and Social Care Information Centre 2012). However, in our sample, factors associated with ‘exclusive’ breastfeeding were more multi‐dimensional, compared with the one identified for ‘any’ breastfeeding practice, including factors related to pregnancy outcomes (mode of birth) and post‐natal psychological condition (depressive symptoms). The finding that black and Asian women were more likely to have any breastfeeding was similar to previous UK studies (Kelly et al. 2006). There may also be underlying factors that were missing in our study that could explain these phenomena, such as employment status or access to health care support.

The findings that women's perceived control during labour and birth were positively associated with any breastfeeding supports a previous study, a meta‐ethnography of traumatic childbirth and its aftermath, in which Beck (2011) demonstrated that some women who experienced a psychologically traumatic birth made a decision to stop breastfeeding. In one woman's words, ‘I wanted to forget about it and the pain, so stopping breastfeeding would get me a bit closer to my “normal” self again’ (Beck & Watson 2008, p. 234). Alternatively, the positive relationship between perceived control during labour and birth and any breastfeeding may reflect the fact that some women receive continuous support from caregivers from labour and birth to the post‐natal period, including support for breastfeeding. It may also be that higher levels of control may spill over into a sense of greater self‐efficacy to breastfeeding. There could be various reasons, but the issue is that women's perceived control was assessed post‐natally, therefore subjected to recall bias in which women who had difficulty breastfeeding might have been more likely to remember feelings of fear, helplessness and/or being uncared for during their labour and birth than women who had successfully established breastfeeding.

Similarly, while we have included a number of post‐natal factors, there are issues related to a time sequence of events. For example, depressive symptoms were significantly associated with exclusive breastfeeding, but it was difficult from our study to provide information about whether depressive symptoms preceded the difficulty of establishing exclusive breastfeeding or vice versa. This was because, in our study, data on depressive symptoms and breastfeeding outcomes were collected simultaneously. However, in a sample of women who gave birth in Australian maternity units, Henderson et al. found that of the women who developed post‐natal depression in the 6 months after birth, the majority (82%) stopped breastfeeding at a time after the onset of depression, and 11% stopped at the time they became depressed. Only 7% of women stopped before they developed symptoms of post‐natal depression. This indicates that, in many cases, post‐natal depression appeared to be a risk factor of difficulty of establishing exclusive breastfeeding.

Study limitations

In addition to the limitations described earlier, we asked women about the current breastfeeding practices at 6 to 8 weeks post‐partum. It only provides a ‘snapshot’, which is not a good indicator of irregular feeding patterns or duration of breastfeeding (Health and Social Care Information Centre 2012). Study limitations also include the use of composite measures. For example, we constructed a composite measure of mental health history (which ranged from very severe and diagnosed pathology to ‘feeling down in the last week’) because of the low event rates for individual problems. This could have concealed important differences in outcomes between different mental health problems and degrees of severity. In addition, the response rate was 53%, with lower response from more vulnerable groups (younger age, living in more derived areas) in terms of socioeconomic status. Thus, there may be an underestimation of the issue of non‐practice of breastfeeding. Another limitation is that breastfeeding was one of the secondary outcomes of the cohort study, which primarily looked at the impact of severe maternal morbidity on PTSD symptoms. Therefore, some variables previously identified as important predictors of breastfeeding (self‐efficacy, employment status, maternal breastfeeding intentions; de Jager et al. 2013) were not available for analysis.

Nevertheless, in this prospective study, we had a relatively large sample size and severe maternal morbidity was identified from women's maternity records to minimize recall bias. With very few studies having examined the impact of severe maternal morbidity on breastfeeding outcomes to date, the results still provide important information on the link between severe maternal morbidity and breastfeeding outcomes in the early post‐natal period, which currently has no evidence to support the relationship.

Conclusion

Health benefits of breastfeeding for babies and mother are well established and promoting exclusive breastfeeding up to 6 months post‐natal is an international and national priority. With the absence of evidence regarding the impact of severe maternal morbidity, which is increasing in many developed countries, we examined the relationship between severe maternal morbidity and breastfeeding at 6 to 8 weeks post‐partum when routine post‐natal care ends. From this study, there was no evidence to support the relationship. Rather, breastfeeding outcomes were related to multi‐dimensional factors including sociodemographic (age, ethnicity, living arrangement), other pregnancy outcomes (NICU admission, mode of birth, women's perceived control during birth) and post‐natal psychological factors (depressive symptoms). Women who experience severe maternal morbidity can be reassured that establishing successful breastfeeding can be achieved. More studies are required to understand how to best support women to establish breastfeeding comprehensively by encouraging and proving them with appropriate care and education from pregnancy to post‐natal.

Source of funding

No funding was received.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Contributions

MF developed the protocol with the support of DB and JS. All authors contributed to the development of analysis plan. MF collected data with support from DB and JS as well as midwives and IT managers at the study site. MF and DC conducted the main analyses. All authors checked the results. All authors contributed to the manuscript. All authors read and approved the final manuscript.

Acknowledgements

The authors thank Mrs. Lynne Packanowski, Dr. Annette Briley and Ms. Mary Sheridan, Dr. Catherine Nelson‐Piercy, Mr. Bolaji Coker and Mr. Waqas Shah, the midwives and midwifery managers in the study site for their help in data collection and creating a data set. The authors also thank Dr. Kirstie Coxon for her comments on the study.

Furuta, M. , Sandall, J. , Cooper, D. , and Bick, D. (2016) Severe maternal morbidity and breastfeeding outcomes in the early post‐natal period: a prospective cohort study from one English maternity unit. Maternal & Child Nutrition, 12: 808–825. doi: 10.1111/mcn.12176.

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