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BMJ Open logoLink to BMJ Open
. 2019 Jul 26;9(7):e026026. doi: 10.1136/bmjopen-2018-026026

Geographical and population disparities in timely access to prehospital and advanced level emergency care in New Zealand: a cross-sectional study

Rebbecca Lilley 1,, Brandon de Graaf 1, Bridget Kool 2, Gabrielle Davie 1, Papaarangi Reid 3, Bridget Dicker 4,5, Ian Civil 6,7, Shanthi Ameratunga 2, Charles Branas 8
PMCID: PMC6661642  PMID: 31350239

Abstract

Objective

Rapid access to advanced emergency medical and trauma care has been shown to significantly reduce mortality and disability. This study aims to systematically examine geographical access to prehospital care provided by emergency medical services (EMS) and advanced-level hospital care, for the smallest geographical units used in New Zealand and explores national disparities in geographical access to these services.

Design

Observational study involving geospatial analysis estimating population access to EMS and advanced-level hospital care.

Setting

Population access to advanced-level hospital care via road and air EMS across New Zealand.

Participants

New Zealand population usually resident within geographical census meshblocks.

Primary and secondary outcome measures

The proportion of the resident population with calculated EMS access to advanced-level hospital care within 60 min was examined by age, sex, ethnicity, level of deprivation and population density to identify disparities in geographical access.

Results

An estimated 16% of the New Zealand population does not have timely EMS access to advanced-level hospital care via road or air. The 700 000 New Zealanders without timely access lived mostly in areas of low-moderate population density. Indigenous Māori, New Zealand European and older New Zealanders were less likely to have timely access.

Conclusions

These findings suggest that in New Zealand, geographically marginalised groups which tend to be rural and remote communities with disproportionately more indigenous Māori and older adults have poorer EMS access to advanced-level hospitals. Addressing these inequities in rapid access to medical care may lead to improvements in survival that have been documented for people who experience medical or surgical emergencies.

Keywords: emergency medical services, geospatial, GIS, hospital, health services access, time-to-treatment


Strengths and limitations of this study.

  • This study is the first step in assessing access to emergency medical services (EMS) in New Zealand, a long, narrow and geographically challenging island nation in the South Pacific with a small, geographically dispersed population.

  • This study expands on previous international assessments of timely access to emergency hospital-level care by mapping exact locations of EMS response.

  • The choice of geospatial software and consciously conservative assumptions made are likely to underestimate the impact the access estimates presented.

  • The EMS scenario modelled in our analysis fits a theoretical ‘scoop & run’ strategy to prehospital care, and does not consider other possible prehospital strategies, such as a differentiated strategy, or rapid delivery of specialist medical expertise to the patient.

Introduction

Globally, millions of people with life-threatening injuries or health events require timely access to advanced healthcare services, including prehospital emergency services, to prevent needless mortality and morbidity.1 The public health burden of time-critical medical emergencies can be further exacerbated in countries with challenging terrain, long travel distances and dispersed populations, despite relative economic standing and available resources.2 New Zealand is one country where these natural and population features are a daily challenge to the timely and equitable delivery of prehospital emergency care.

Death and disability due to acute medical emergencies can be significantly reduced by the timely provision of prehospital emergency healthcare, thereby presenting many opportunities for tertiary prevention. Optimal models of trauma care delivery, focusing on a continuum of timely emergency medical services (EMS) to efficient in-hospital care, start with the rapid provision of prehospital EMS and provide the best chance for survival and rehabilitation following injury.1 3 4 A time sensitive approach has also been proven to benefit patients requiring EMS following cardiac, stroke and vascular events.5 6

EMS are a vital entry point into the continuum of acute emergency healthcare, as their primary role is to rapidly meet the emergency prehospital care needs of patients following time-critical injury or health events. In terms of receiving hospital-level treatment, the first hour, commonly referred to as the ‘golden hour’, is generally considered to be the most critical in terms of receiving definitive treatment for cases with time-critical injuries or health conditions.4 Although not supported by a strong evidence-base, access to EMS and advanced-level hospital care is often judged against this threshold.7 8 Disparities in timely access to advanced-level hospitals have been documented in numerous countries, identifying higher risk of delayed access for communities and vulnerable groups.7 9–12

New Zealand’s mountainous terrain, long travel distances and relatively small and geographically dispersed population of 4.2 million can severely hinder physical/transport access to advanced hospital-level care impacting timely and equitable delivery of prehospital EMS. New Zealand’s population density is relatively low at 15 people/km2, considerably less than countries with similar land area such as the UK with 243 people/km2. Despite having low overall population density, New Zealand is highly urbanised, with 86% of the population living in urban areas.13 Case reviews in New Zealand suggest there are opportunities to improve prehospital EMS and reduce the number of prehospital deaths.14 15

This study systematically examines geographical proximity and access to prehospital care provided by EMS and advanced-level hospital care, for the smallest geographical units used in New Zealand, in order to identify opportunities to improve survivability and reduce disability following time-critical medical emergencies, and explores national disparities in geographical access to these services.

Methods

Advanced level hospital care in New Zealand

There are three levels of classification for New Zealand hospitals, relating to their capability to provide the appropriate services for seriously injured or ill patients (table 1). New Zealand has a unique system where by trauma response, treatment and rehabilitation are funded by the universal, no-fault, publicly funded Accident Compensation Corporation (ACC). In contrast, medical response, treatment and rehabilitation is publicly funded by each individual district health board with some part-charges for ambulance services.

Table 1.

Categories of advanced levels of hospital care in New Zealand

Level of hospital care Services provided Hospital locations
Level 1 Advanced trauma and medical services based around comprehensive intensive care units with specialist staff. Main population areas
Level 2 Capable of initial resuscitation and management. If specific intensive care not available then major trauma and severely ill patients transferred to level 1 advanced care. Regional and rural provincial areas
Level 3 Run by non-specialist staff, capable of initial resuscitation. Major trauma and severely ill patients transferred to level 1 advanced care. Small rural areas

Data sources

For this study, we used census 2013 (most recent publicly available data) meshblock boundary and characteristics information available from Statistics New Zealand.16 Meshblocks are the smallest geographical unit available. In the 2013 census, there were 45 989 meshblocks ranging in size from part of a city block containing approximately 110 people to a large area of rural land containing approximately 60 people. In addition to the boundary shapefiles, we obtained sociodemographic, deprivation and urbanity characteristics of the population usually residing within each meshblock.16

The physical addresses of advanced-level (levels 1 and 2) hospitals were converted to geographical longitude-latitude coordinates. The locations of road ambulance stations as at 2014/2015 were obtained from the two providers of these services in New Zealand, St. John Ambulance (New Zealand’s major provider serving 98% of the population) and Wellington Free Ambulance. Air EMS services were restricted to helicopter-based services in use in 2016 and their longitude-latitude coordinates were derived from multiple sources, including the Civil Aviation Authority, the Hawkes Bay Rescue Helicopter Trust and Google Maps. Road network data was obtained from www.geofabrik.de, an online open street map and spatial data provider.

Geospatial access calculations

The continuous access times were categorised using relatively fine-grained (<30, 30–45, 45–60, 60–90, ≥90 min) categories for descriptive purposes and to ensure the use of the ‘golden hour’ was sensible for the New Zealand population. Timely access was defined as the proportion of the population or land area from which an injured person was theoretically able to reach an advanced-level hospital within a given time of 60 min via air and road EMS. Access was calculated using established geospatial methods.7 17 The time required for the nearest air or road EMS to reach the geometric centroid of a meshblock, stabilise a patient and then directly travel to the nearest advanced-level receiving hospital was calculated for every meshblock.

Road network travel times included the following assumption obtained from St Johns: immediate response and average road ambulance time at scene 14 min and 49 s. Road ambulance drive times were calculated using the Open Source Routing Machine (OSRM available at www.project-osrm.org). A detailed description on how spatial data are modelled in OSRM is available elsewhere.18 All road calculations assumed ambulances drove at legal road speed, did not stop at intersections, driving conditions were ideal (ie, no congestion) and ambulances drove the shortest route.

Air EMS travel times assumed helicopters flew in straight lines at an operational speed of 182 km/hour, response time (preparation for lift-off) of 8 min, on scene time of 27 min and 28 s, plus 32 s to find a safe pick-up landing site.19 Air EMS flight times were calculated using custom written Python code running inside QGIS software.

Sociodemographic variables

Sociodemographic data on age, sex and ethnicity was obtained by summing the subtotal of each characteristic across all meshblocks, thus estimating the population of New Zealand at the time of the 2013 census. Age was grouped into five categories: 0–14, 15–29, 30–44, 45–64 and ≥65 years. The five categories of ethnicity used were: Māori (indigenous population), Pacific, Asian, New Zealand European, MELAA (Middle Eastern, Latin American, African) and Other. Census ethnicity data is not prioritised, with individuals able to record multiple ethnicities, therefore all ethnicities reported are counted resulting in totals greater than 100%.

Deprivation was derived using the 2013 New Zealand Deprivation Index (NZDep) which aggregates and ranks communication, income, employment, family support, qualifications, home ownership, living space and transport within each meshblock area.20 NZDep deciles were categorised into quintiles, with ‘1–2’ representing the least deprived 20% and ‘9–10’ the most deprived 20% of meshblocks in New Zealand. Population density within each meshblock area was calculated using number of usually resident people divided by meshblock area, grouped into three categories: high (20 to <200 000), medium (2 to <20) and low (0 to <2) persons/km.2

Statistical analyses

Our unit of analysis was the 2013 census meshblock. The count of usually resident populations within each census 2013 meshblock was summed across the country to obtain national denominators. The sociodemographic, deprivation and urbanity characteristics of the population unable to access advanced-level care within key times are described using row percentages. Binomial exact 95% CIs were calculated for row percentages using Stata V.13 SE.

A map of New Zealand was created to provide a visual representation of the areas within New Zealand that cannot access advanced-level hospital care via air and road EMS within 60 min. Where both air and road were viable options, the shorter time by whatever means was chosen.

Patient and public involvement

This study is a theoretical modelling geospatial analysis with no direct contact with study participants or patients or the public thus they were not involved in: (1) developing the research question and outcome measures; (2) planning the study design; and (3) the recruitment and conduct of the study. A study advisory group included patient and client representatives from SafeKids New Zealand, St Johns New Zealand, Pacifica Injury Prevention Aukilana, Fire and Emergency New Zealand, ACC and National Ambulance Sector Office. Dissemination of the study’s findings will include meetings where patients/public and community groups engage, including the public health and injury prevention and control meetings.

Results

Access to advanced-level hospital care by air or road EMS takes over 60 min for the majority (84%) of New Zealand’s land area. While less than 16% of our land area allows emergency access via road or air (3.5% accessible by road only and 15% by air only) within 60 min, a substantial majority (83%) of New Zealanders live within those areas that do have timely access to advanced hospital level care within 60 min (table 2). Close to a quarter (24%) of New Zealanders are estimated to have access to advanced-level hospital care within 30 min and two-thirds (66%) within 45 min, 13% of the population are estimated to take up to 30 min longer than the ‘golden hour’ (ie, within 60–90 min), and 4% are estimated to take greater than 90 min to access to advanced-level hospital care.

Table 2.

Overall population and sub-population access to advanced-level hospital care by road and helicopter EMS within specified time periods

Sociodemographic
characteristics
Population
frequency
Have access to levels 1 or 2 hospital care within each specified period Minutes (row %)
Within 30 30–45 45–60 60–90 >90
Total population 4 240 791 24 42 17 13 4
Age (years)
 0–14 849 192 22 44 19 13 4
 15–29 829 182 32 41 15 10 3
 30–44 812 718 25 44 17 11 4
 45–64 1 065 417 22 42 19 14 4
 ≥65 605 793 22 40 18 17 4
Sex
 Male 2 061 636 24 42 17 13 4
 Female 2 176 134 24 42 18 13 4
Ethnicity*
 New Zealand European 2 963 721 22 40 19 15 3
 Māori 595 170 23 36 19 17 4
 Pacific 295 458 26 54 15 5 1
 Asian 470 793 32 57 7 3 1
 MELAA 46 905 31 52 9 5 2
 Other 67 398 24 42 17 13 3
 Not stated 235 437 24 42 17 13 3
NZ Depreviation Index
 1–2 (least deprived) 873 393 14 54 21 7 4
 3–4 85 626 19 45 19 14 4
 5–6 837 558 24 39 17 17 4
 7–8 829 704 32 35 15 16 4
 9–10 (most) 833 169 32 36 15 13 4
Population density (persons per km2)
 High (20–<200 000) 3 859 551 26 46 14 58 2
 Medium (2–<20) 303 696 0.3 8 37 45 10
 Low (0–<2) 77 544 0.015 1 14 57 27

*Multiple ethnic identities possible in census; therefore, ethnic categories will add up to more than the total population.

EMS, emergency medical services; MELAA, Middle Eastern, Latin American, African; NZ, New Zealand.

Population differences in timely access were observed by ethnicity and population density. Persons identifying with the Asian ethnic group have the best estimated access to hospital-level care, with only 0.78% residing in meshblocks greater than 90 min away from levels 1 or 2 hospital care. In contrast, those of Māori ethnicity had the poorest level of access with 4% living in meshblocks greater than 90 min away from advanced-level hospital care (difference in proportion 3.22%, 95% CI 2.19% to 4.48%). With respect to population density, access was poorest for people usually residing in lower density areas meshblocks, with 27% of people usually resident in low density areas vs 2% of people usually resident in high density areas being greater than 90 min away from either levels 1 or 2 hospital care (difference in proportion 25%, 95% CI 22% to 27%).

Timely geographical access to our most advanced level 1 hospital care is poorest for those aged 65 years or greater, those of Māori, New Zealand European and Other ethnic groups, residents with high levels of deprivation, and those usually residing in the central North Island and lower South Island (table 3). The addition of regional level 2 hospital care significantly expands the catchment from 59.8% (95% CI 56.7% to 62.9%) of the population residing in meshblocks with access to advanced-level hospital care (levels 1 and 2) within 60 min to 84.6% (95% CI 82.2% to 86.8%) (table 3). In terms of land area access, this equates to 5% (95% CI 4% to 7%) of New Zealand’s total land area with timely access to level 1 hospital care within 60 min which increases to 16% (95% CI 14% to 18%) with the addition of level 2 hospital care (results not in table).

Table 3.

Usually resident population access to different levels of advanced-level hospital care by road and helicopter EMS within specified time periods

Demographic characteristics Level 1 hospital access
Within 60 min
Levels 1 and 2 hospital access
Within 60 min
Row % 95% CI Row % 95% CI
TOTAL 59.8 56.7 to 62.9 84.6 82.2 to 86.8
Age (years)
 0–14 59.8 56.7 to 62.8 84.3 81.8 to 86.5
 15–29 67.3 64.3 to 70.2 88.0 85.8 to 89.9
 30–44 64.3 61.2 to 67.2 86.1 83.8 to 88.2
 45–64 58.0 54.9 to 61.1 82.6 80.1 to 84.9
 65+ 50.7 47.6 to 53.8 79.4 76.8 to 81.9
Sex
 Male 59.7 56.6 to 62.8 83.4 80.9 to 85.7
 Female 59.9 56.8 to 62.9 83.9 81.4 to 86.1
Ethnicity
 New Zealand European 55.3 52.2 to 58.4 81.5 78.9 to 83.9
 Māori 45.6 42.5 to 48.7 78.7 76.0 to 81.2
 Pacific 84.4 82.0 to 86.6 94.7 93.1 to 96.0
 Asian 87.4 85.1 to 89.4 96.1 94.7 to 97.2
 MELAA 82.9 80.4 to 85.2 93.0 91.2 to 94.5
 Other 52.7 49.6 to 55.8 80.8 78.2 to 83.2
 Not stated 59.9 56.8 to 62.9 83.7 81.2 to 85.9
NZ Deprivation Index
 1–2 (least deprived) 73.4 70.5 to 76.1 90.0 87.9 to 91.8
 3–4 62.0 58.9 to 65.0 83.0 81.5 to 85.3
 5–6 54.9 51.8 to 58.0 79.9 77.3 to 82.3
 7–8 53.9 50.8 to 57.0 80.5 77.9 to 82.9
 9–10 (most deprived) 55.1 51.9 to 58.2 83.6 81.2 to 85.8
Population Density (persons per km2)
 High (20–<200 000) 64.3 61.2 to 67.2 88.0 85.8 to 89.9
 Medium (2–<20) 17.1 14.8 to 19.6 45.3 42.2 to 48.4
 Low (0–<2) 2.8 1.8 to 4.0 15.2 13.0 to 17.6

EMS, emergency medical services; MELAA, Middle Eastern, Latin American, African; NZ, New Zealand.

Sub-population differences exist in timely access observed by age, ethnicity, level of deprivation and population density (table 3). The oldest New Zealanders (65+ years old) have the least access to level 1 (50.7%, 95% CI 47.6% to 53.8%) and combined level 1 and 2 hospital care (79.4%, 95% CI 76.8% to 81.9%). Less than half of the Māori population (45.6%, 95% CI 42.5% to 48.7%) reside in geographical areas with timely access to level 1 hospital care, increasing to 78.7% (95% CI 76.0% to 81.2%) with the inclusion of level 2 hospital care, but still substantially lower than the Pacific, Asian and MELAA other ethnic groups. Geographical areas with timely theoretical access to hospital care have a high proportion of resident Asian, Pacific and MELAA ethnic groups. The proportion of the population with timely access to advanced-level hospital care declines with increasing levels of deprivation, the exception to this is the most deprived group (NZDep 9–10) for whom access increased slightly from the previous level of NZDep 7–8, reflecting many of highly deprived areas in New Zealand are located in main urban areas close to hospitals. Those residing in meshblock areas with the least deprivation have a substantially better degree of timely access. Regions with low to medium population density have the poorest access to prehospital care, with a paltry 2.8% (95% CI 1.8% to 4.0%) of those usually residing in areas of low population density having access to a level 1 hospital, expanding to 15.2% (95% CI 13.0% to 17.6%) with the inclusion of level 2 care. No differences were observed by sex.

Figure 1 provides a visual representation of the catchment of air and road EMS given the placement of advanced-level hospitals and EMS bases. Comparing figure 1A,C provides some illustration of why timely access to usually resident population is high, but land area access is low. Timely access is clustered around the main highly populated areas with a population density in the range 20 to <200 000 people/km. Air EMS services improve the level of timely access to advanced hospital level care above and beyond road EMS services in all areas except two in the lower South Island. However, much of the coverage is ‘doubled-up’ as the combined road/air catchment closely follows the road only catchment. Many areas of moderate population density are not adequately covered by EMS, and the most isolated pockets of non-coverage are in areas with low population density.

Figure 1.

Figure 1

Access to advanced-level hospital care in New Zealand within 60 min. (A) Population density. (B) Road emergency medical services (EMS) coverage. (C) Road or air EMS coverage.

Discussion

This research examined the proportion of the usually resident population with theoretical timely access to advanced-level hospital care by air and road EMS in New Zealand and identified important disparities in access to these prehospital services. Not surprisingly, timely access is clustered around areas of high population density based on where New Zealand’s population usually resides. Applying the concept of the ‘golden hour’, we estimate 16% of the New Zealand population does not have timely theoretical access to advanced-level hospital care via road or air EMS. This equates to around 700 000 New Zealanders without timely access; particular disparities in theoretical timely access were observed for Māori, European New Zealanders, older New Zealanders and those residing in the lower South Island. Regionally based level 2 hospital services are vital for rural communities to have timely access to care, particularly the Central North Island region where we estimate there is no timely access to the most advanced level 1 hospital care within 60 min.

Previous international studies examining timely theoretical access to care following time-critical acute medical and trauma events have mainly focused on access to trauma services. Prehospital access to advanced trauma care in New Zealand is similar to that observed in the USA and Canada.7 9 10 Timely access to advanced trauma care via road or air EMS was available to 88% of all US residents, while 77% of Canadian residents have access via road ambulances.9 10 Access to critical care services in Scotland is more comprehensive than New Zealand with 94% of the Scottish population within a 45 min ambulance drive to definitive hospital-level care covering 47% of the Scottish landmass.21 Unsurprisingly, the catchment of EMS and advanced-level hospital care aligns closely to population density in New Zealand, as also demonstrated in the USA, Canada and Scotland. Advanced-level hospital services are located to serve a large population base making the most efficient use of the resource and maintaining high levels of medical skill and management. This focus on areas of high population density, however, means that areas of disparities are generated on the basis of population density and dispersion. Areas of low to medium population density that have poorer EMS coverage typically have disproportionately greater indigenous Māori and ageing New Zealand European populations, high-risk economic activity (such as farming and forestry) and remote areas of recreational and tourist activity.

Our study found important socio-demographic disparities in timely theoretical access for indigenous Māori, New Zealand Europeans, older New Zealanders and those residing in the southern part of the South Island, reflecting the geographical spread of New Zealand’s population. While most Māori live in urban areas, Māori make up a higher proportion of the population residing in highly rural and remote areas, by contrast almost all Pacific and the majority of Asian people in New Zealand live in urban areas.22 Older New Zealanders, who are typically New Zealand European, contribute to a high proportion of those who live in rural areas with low to moderate urban influence, explaining the longer theoretical access times observed for this group. Regions with low to moderate population density stood out as being significantly underserved when compared with areas of high population density. Similar disparities in access to advanced-level hospital care have been reported internationally for those residing in rural areas or very remote areas, and for ethnic minorities.7 9–11 21 Our study provides further evidence of disparities in timely theoretical access to healthcare for Māori and for rural communities, and the unequal distribution of healthcare resources across New Zealand providing a further pathway for health disparities for Māori and rural populations: difficulties in achieved access to healthcare for these sub-groups are already well documented.23 24 Our results add further support for EMS and advanced-level hospital services to be optimally configured to address both the geospatial and socio-demographic challenges of timely access relative to population density in New Zealand.

The optimal placement or enhancement of EMS retrieval and transfer services and advanced healthcare facilities in New Zealand should be examined further. One of the guiding principles for New Zealand’s health system is that all New Zealanders have ‘timely and equitable access’ to a ‘comprehensive range of health and disability services’.25 Our study found concerning geospatial disparities in timely geographical access for communities with low to moderate population density which tend to be rural and remote communities with disproportionately more Māori and older New Zealand Europeans. Furthermore, areas with few permanent residents are popular destinations for international and residential tourists travelling to, and engaging in, outdoor tourist pursuits in remote back country and alpine areas. We have identified the need for the combined reach of EMS services and advanced-level hospital care to consider coverage of socio-demographic and geospatial aspects beyond just high density residential population bases.

Understanding the geospatial distribution of EMS services and timely access into advanced-level hospital care is the first step in identifying opportunities for improved care and planning of future services and health policy in the prehospital setting of an advanced trauma and medical system. It is unknown if this current level of under-service results in higher rates of mortality across New Zealand, and future analyses from this research team will examine this question further with regard to injury.17 Geographical areas with limited prehospital air and road EMS may be adequately served by other groups of appropriated trained first responders, such as general practitioners, police and fire services, where they sit outside of existing EMS catchment areas. Future research should examine the location of other first responders and the expansion of coverage of EMS these groups potentially provide. Other approaches to extending access to EMS and advanced-level hospital care include increasing, upgrading or integrating the roles of regional level 3 hospitals in the provision of emergency care; expanding helicopter provision, repositioning existing road or air EMS depots, or providing novel methods such as delivery of advanced care to critically injured patients or telemedicine interventions.7 10

This study has a number of limitations. The choice of geospatial software and assumptions made are likely to impact the theoretical access estimates presented; we have consciously chosen conservative assumptions and settings meaning the proportion without timely access is likely to be underestimated. This analysis also assumes simultaneous dispatch by road and air EMS services, however the operational reality is that air response can take longer when emergency first responders are required to assess severity of an acute event prior to helicopter dispatch. It also assumes the availability of suitable helicopter landing sites at the meshblock centroid which may not be available. The benefits of the extended air ambulance coverage identified in our analysis would therefore only be achieved if air ambulance services were dispatched without delay and if suitable helicopter landing sites were available. Early/simultaneous activation models have shown clear benefits for prevention of needless deaths.26 27 A further limitation is that the EMS scenario theoretically modelled in our analysis fits a ‘scoop & run’ strategy to prehospital care, and does not consider other possible regional or local prehospital and EMS strategies, such as a differentiated strategy, or rapid delivery of specialist medical expertise to the patient.28 Recent empirical evidence suggests that a prehospital strategy should differentiate by injury type, with the worst case scenario injuries involving penetrating haemodynamically unstable injury or neurological trauma needing to reach advanced care as quickly as possible to have the best chance of survival.29 The use of centroids may have led to geographical selection bias when a meshblock sits on edge of the time boundary, yet the centroid sits outside this boundary and is not selected. The potential for geographical selection bias is thought to be balanced out by the inclusion of similar sized meshblock’s in close proximity with partial coverage over a time boundary where the centroid sits inside the boundary. Manual review of the 1044 large, remote meshblocks where the centroid was 10 km, or greater, from the nearest road revealed no part of these area units was reachable by air or road EMS within the time-limits examined.

Our study expands on previous geospatial examinations of access in New Zealand30 and internationally7 10 21 with the use of actual location of road-based and air-based EMS services, with comparison to usually resident population densities, to assess the actual level of EMS coverage and response providing valuable geospatial analyses to inform future planning and expansion of prehospital EMS in New Zealand. As New Zealand is an island nation with a universal nationally funded healthcare system, we are able to consider the closest hospital care without being restricted by state, provincial or national funding boundaries, unlike some international studies.

Conclusion

Timely access to advanced-level hospital care is important to increase survival from time-critical acute injury and medical events. Our study highlights the need for planning of EMS coverage in New Zealand, especially for areas of moderate to low population density, in order to address inequities with regard to timely access to advanced-level hospital care. The geographical configuration of EMS and healthcare systems is important for optimising accessibility to services and promoting the efficient use of scarce resources in a geographically challenging island nation. Future analyses will examine if disparities in timely access to advanced-level hospital care translates into higher rates of mortality due to time-critical injuries in New Zealand and identify areas requiring improved access to EMS and advanced-level hospital care relative to the burden of prehospital fatal injury.17

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

The authors would like to thank Ian Wilmot (Wilmot Consulting), and staff of the St John, Wellington Free Ambulance and Ministry of Health for supplying data integral to our geospatial analyses.

Footnotes

Contributors: RL contributed to the study design, conducted the literature review, provided oversight of the spatial analysis and was primarily responsible for the article preparation. BdG was primarily responsible for acquiring data and the spatial analysis, as well as contributing to the interpretation of data and preparation of the paper. GD contributed to the study design, provided advice on the spatial analysis methods, overseeing the spatial analysis and contributed to the interpretation of data and preparation of the paper. BK contributed to the study design, provided oversight of the project, interpretation of results and article preparation. CB contributed to the study design, provided advice on the spatial analysis methods and contributed to the direction of the analysis and interpretation of data and preparation of the paper. PR, SA, IC and BD contributed to the study design and to the interpretation of data and preparation of the paper.

Funding: This research was funded by the Health Research Council of New Zealand project grant (HRC Grant 15/186).

Map disclaimer: The depiction of boundaries on the map(s) in this article do not imply the expression of any opinion whatsoever on the part of BMJ (or any member of its group) concerning the legal status of any country, territory, jurisdiction or area or of its authorities. The map(s) are provided without any warranty of any kind, either express or implied.

Competing interests: None declared.

Patient consent for publication: Not required.

Ethics approval: Ethical approval for the broader programme of research, of which this specific study is a part of, was obtained from the University of Auckland Human Participants Ethics Committee (ref 016179), National Coronial Information System (ref NZ007) and University of Otago Health and Disability Ethics Committee (ref OTA/90/02/008/AM05).

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

Data availability statement: Data are available upon reasonable request.

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