在资源有限的环境中使用DHIS2常规数据来准备卫生系统:孟加拉国的贝叶斯预测方法
Toufiq Hassan Shawon1, Ema Akter2, Bibek Ahamed2
1Management Information System, Directorate General of Health Services, Dhaka, Bangladesh.
PLOS global public health
|March 3, 2026
概括
通过使用常规数据预测服务利用率,可以改善孟加拉国的卫生系统规划. 预测显示,大多数服务的需求不断增长,特别是袋鼠母婴护理,需要积极的资源配置和战略投资.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 低收入和中等收入国家 (LMICs) 由于计划不善,在公平的医疗保健提供方面面临挑战.
- 在孟加拉国,用于预测服务利用率的常规健康数据分析尚未得到充分利用.
- 有效的卫生系统规划需要准确预测未来的服务需求.
研究的目的:
- 利用孟加拉国常规卫生数据分析服务利用趋势.
- 预测国家和区域一级的未来服务量,以改善健康规划.
- 识别医疗保健服务利用中的区域差异.
主要方法:
- 从2021年1月到2025年3月的DHIS2 (区卫生信息软件2) 每月例行医疗服务数据的分析.
- 对产妇,新生儿,儿童和医院服务的关键指标的检查.
- 应用贝叶斯日志-线性波松回归模型,调整季节性和自相关性,以预测2025-2026年服务利用率.
主要成果:
- 与2024年相比,大多数服务领域的利用趋势呈上升趋势.
- 预计到2026年,袋鼠母亲护理 (KMC) 覆盖率将增加75%以上.
- 门诊诊和肺炎治疗预计将增加约30%,分娩和剖腹产部分的适度增加.
- 仍然存在显著的区域差异,达卡和奇塔贡的利用率最高,巴里沙尔和西尔赫特的利用率最低.
结论:
- 孟加拉国卫生系统必须为所有类别的服务利用率增加做好准备.
- 使用 DHIS2 数据预测服务,可实现主动规划和公平的资源分配.
- 对基础设施,劳动力和数据驱动计划的战略投资对于卫生系统的弹性至关重要.
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