Myers Bronwyn A, Fisher Rohan P, Nelson Nelson, Belton Suzanne
Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory 0909, Australia.
Department of Health, South Central Timor District, So'E, Matarak, East Nusa Tenggara Province, Indonesia.
AIMS Public Health. 2015 Jul 1;2(3):257-273. doi: 10.3934/publichealth.2015.3.257. eCollection 2015.
The causes of maternal death are well known, and are largely preventable if skilled health care is received promptly. Complex interactions between geographic and socio-cultural factors affect access to, and remoteness from, health care but research on this topic rarely integrates spatial and social sciences. In this study, modeling of travel time was integrated with social science research to refine our understanding of remoteness from health care. Travel time to health facilities offering emergency obstetric care (EmOC) and population distribution were modelled for a district in eastern Indonesia. As an index of remoteness, the proportion of the population more than two hours estimated travel time from EmOC was calculated. For the best case scenario (transport by ambulance in the dry season), modelling estimated more than 10,000 fertile aged women were more than two hours from EmOC. Maternal mortality ratios were positively correlated with the remoteness index, however there was considerable variation around this relationship. In a companion study, ethnographic research in a subdistrict with relatively good access to health care and high maternal mortality identified factors influencing access to EmOC, including some that had not been incorporated into the travel time model. Ethnographic research provided information about actual travel involved in requesting and reaching EmOC. Modeled travel time could be improved by incorporating time to deliver request for care. Further integration of social and spatial methods and the development of more dynamic travel time models are needed to develop programs and policies to address these multiple factors to improve maternal health outcomes.
孕产妇死亡的原因众所周知,如果能及时获得专业的医疗保健服务,很大程度上是可以预防的。地理和社会文化因素之间的复杂相互作用影响着医疗保健服务的可及性和距离远近,但关于这一主题的研究很少将空间科学和社会科学结合起来。在本研究中,将出行时间建模与社会科学研究相结合,以深化我们对医疗保健服务可及性的理解。对印度尼西亚东部一个地区提供紧急产科护理(EmOC)的医疗机构的出行时间和人口分布进行了建模。作为可及性指标,计算了距离EmOC估计出行时间超过两小时的人口比例。在最佳情况(旱季乘救护车出行)下,模型估计有超过10000名育龄妇女距离EmOC超过两小时。孕产妇死亡率与可及性指数呈正相关,但围绕这种关系存在相当大的差异。在一项配套研究中,对一个医疗保健服务可及性相对较好但孕产妇死亡率较高的分区进行的人种学研究确定了影响获得EmOC服务的因素,包括一些未纳入出行时间模型的因素。人种学研究提供了有关请求和获得EmOC服务实际出行情况的信息。通过纳入传递护理请求的时间,可以改进出行时间模型。需要进一步整合社会和空间方法,并开发更具动态性的出行时间模型,以制定应对这些多重因素的方案和政策,改善孕产妇健康结局。