School of Geography and Environmental Science, University of Southampton, Southampton, S017 1BJ, UK.
WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
BMC Health Serv Res. 2022 Jun 13;22(1):772. doi: 10.1186/s12913-022-08125-9.
Health service areas are essential for planning, policy and managing public health interventions. In this study, we delineate health service areas from routinely collected health data as a robust geographic basis for presenting access to maternal care indicators.
A zone design algorithm was adapted to delineate health service areas through a cross-sectional, ecological study design. Health sub-districts were merged into health service areas such that patient flows across boundaries were minimised. Delineated zones and existing administrative boundaries were used to provide estimates of access to maternal health services. We analysed secondary data comprising routinely collected health records from 32,921 women attending 27 hospitals to give birth, spatial demographic data, a service provision assessment on the quality of maternal healthcare and health sub-district boundaries from Eastern Region, Ghana.
Clear patterns of cross border movement to give birth emerged from the analysis, but more women originated closer to the hospitals. After merging the 250 sub-districts in 33 districts, 11 health service areas were created. The minimum percent of internal flows of women giving birth within any health service area was 97.4%. Because the newly delineated boundaries are more "natural" and sensitive to observed flow patterns, when we calculated areal indicator estimates, they showed a marked improvement over the existing administrative boundaries, with the inclusion of a hospital in every health service area.
Health planning can be improved by using routine health data to delineate natural catchment health districts. In addition, data-driven geographic boundaries derived from public health events will improve areal health indicator estimates, planning and interventions.
卫生服务区域对于规划、政策和管理公共卫生干预措施至关重要。在这项研究中,我们从常规收集的卫生数据中划定卫生服务区域,作为展示获得产妇保健指标的机会的稳健地理基础。
采用区域设计算法,通过横断面、生态研究设计划定卫生服务区域。将卫生分区合并为卫生服务区域,以尽量减少边界之间的患者流动。划定的区域和现有的行政边界用于提供获得产妇保健服务的估计。我们分析了来自加纳东部地区 32921 名妇女的常规收集的卫生记录、空间人口统计数据、对产妇保健质量的服务提供评估以及卫生分区边界等二级数据,这些妇女在 27 家医院分娩。
分析显示,跨境分娩的模式明显,而更多的妇女则来自更接近医院的地方。在合并了 33 个区的 250 个分区后,创建了 11 个卫生服务区域。任何卫生服务区域内分娩的妇女内部流动的最低百分比为 97.4%。由于新划定的边界更“自然”,并且对观察到的流动模式敏感,因此当我们计算面积指标估计值时,与现有的行政边界相比,它们显示出明显的改善,每个卫生服务区域都包括一家医院。
使用常规卫生数据划定自然集水区卫生区可以改善卫生规划。此外,从公共卫生事件中得出的数据驱动的地理边界将改善面积卫生指标的估计、规划和干预。