产科医院数量的减少是否会意外导致住院分娩利用率下降?中国的一项因果多水平分析。

Does the reduction in obstetric hospitals result in an unintended decreased in-hospital delivery utilisation? A causal multilevel analysis in China.

作者信息

Chen Nan, Coyte Peter C, Pan Jay

机构信息

HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.

Institute for Healthy Cities and West China Research Center for Rural Health Development, Sichuan University, Chengdu, Sichuan, China.

出版信息

BMJ Public Health. 2025 Apr 23;3(1):e001683. doi: 10.1136/bmjph-2024-001683. eCollection 2025 Jan.

Abstract

INTRODUCTION

China's progress towards achieving Sustainable Development Goals for maternal health is largely attributed to a reduction in maternal mortality rates, driven by increased in-hospital delivery services utilisation. However, recent reductions in the number of obstetric hospitals have raised concerns about compromised access to these services. This study investigates the impact of reduced obstetric hospitals on spatial accessibility and the utilisation of in-hospital delivery services.

METHODS

Data from 2016 to 2020 were collected from a densely populated province with approximately 83 million residents. Directed Acyclic Graph was applied to identify a minimally sufficient set of confounders, including residential characteristics and transportation-related factors. Multilevel regression models were employed to analyse the causal effects, with sensitivity analysis using fixed effect and quantile regression models.

RESULTS

Between 2017 and 2020, the number of obstetric hospitals decreased by 21.3% (from 1209 to 951), leading to a decline in the proportion of pregnant women covered within a 2-hour driving radius (from 97.4% to 97.1%) and an increase in the maximum of shortest driving time within county (from 117.2 to 121.0 min). Multilevel regression models, adjusted for confounders, showed that a 1 percentage point increase in the proportion of pregnant women covered within a 2-hour driving radius was associated with a 13 percentage point (95% CI: 11.4 to 14.7) increase in in-hospital delivery rates, especially in areas with lower coverage and in-hospital delivery rates.

CONCLUSIONS

The reduction in obstetric hospitals increased travel distances, negatively impacting in-hospital delivery utilisation. Expanding the proportion of pregnant women covered within a 2-hour driving radius may be more effective than reducing the maximum of shortest travel distance within a county when optimising obstetric hospital locations. These findings provide insights for optimising obstetric facility locations in similar low- and middle-income countries. While improving spatial accessibility is important, the potential quality gains from centralising obstetric resources should also be considered.

摘要

引言

中国在实现孕产妇健康可持续发展目标方面取得的进展,很大程度上归因于住院分娩服务利用率提高推动的孕产妇死亡率下降。然而,近期产科医院数量的减少引发了对这些服务可及性受损的担忧。本研究调查了产科医院减少对空间可及性和住院分娩服务利用情况的影响。

方法

收集了2016年至2020年期间来自一个人口密集省份的数据,该省约有8300万居民。应用有向无环图来确定一组最小充分混杂因素,包括居住特征和交通相关因素。采用多层回归模型分析因果效应,并使用固定效应和分位数回归模型进行敏感性分析。

结果

2017年至2020年期间,产科医院数量减少了21.3%(从1209家降至951家),导致2小时驾车半径内覆盖的孕妇比例下降(从97.4%降至97.1%),且县内最短驾车时间最大值增加(从117.2分钟增至121.0分钟)。经混杂因素调整的多层回归模型显示,2小时驾车半径内覆盖的孕妇比例每增加1个百分点,住院分娩率就会增加13个百分点(95%置信区间:11.4至14.7),尤其是在覆盖率和住院分娩率较低的地区。

结论

产科医院数量的减少增加了出行距离,对住院分娩利用情况产生了负面影响。在优化产科医院布局时,扩大2小时驾车半径内覆盖的孕妇比例可能比减少县内最短出行距离最大值更有效。这些发现为优化类似低收入和中等收入国家的产科设施布局提供了见解。虽然改善空间可及性很重要,但也应考虑集中产科资源可能带来的质量提升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80a/12020756/50a1bd2ee363/bmjph-3-1-g001.jpg

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