Zenebe Getachew Assefa, Alemu Wagaye, Yehualashet Daniel, Nakachew Mequanint
School of Public Health, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.
Department of Midwifery, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.
Front Health Serv. 2023 Aug 21;3:1125399. doi: 10.3389/frhs.2023.1125399. eCollection 2023.
In low-resource countries such as Ethiopia, the utilization of local data for planning and decision-making health systems was frequently constrained. In addition, despite several government initiatives, maternal health services were not completely utilized. On the other hand, efforts to effectively utilize the local data available to improve the utilization level of maternal healthcare services were insufficient, necessitating the need for a different approach.
This implementation study aims to test and validate the effectiveness of a data-informed platform for health (DIPH) strategies on data use for decision-making and utilization of maternal health services in districts of the Gedeo Zone, southern Ethiopia.
A two-arm parallel group, type II hybrid, cluster-randomized control trial design has been implemented to conduct the study between 1 September 2022 and 29 February 2024. Six woredas/districts have been assigned to the intervention arm and the other six to the control arm. Baseline and end-line data have been collected from 120 eligible health management staff (from both intervention arm and control arm). In the intervention arm, district health management staff have been given specialized training and continuous technical assistance as a package called the DIPH strategy by embedding it with the district's current decision-making platform such as Performance Review Team meetings. The DIPH strategy has mainly focused on five-step approaches such as situational assessment, stakeholder engagement, defining/setting priorities, planning, and follow-up. Health management staff in the control arm have performed their regular daily activities. The and -tests have been used to check the effect of the intervention. In addition, difference-in-differences estimates have been calculated because the change may inherently occur over time. A -value of <0.05 and a 95% confidence interval have been used to declare the significance of the intervention.
The findings of this study were supposed to give insights into implementation strategies that improve data use in decision-making and utilization of maternal healthcare services at the woreda level and uncover contextual factors that boost the response of these strategies.
在埃塞俄比亚等资源匮乏的国家，利用当地数据进行卫生系统规划和决策常常受到限制。此外，尽管政府采取了多项举措，但孕产妇保健服务并未得到充分利用。另一方面，有效利用现有当地数据以提高孕产妇保健服务利用水平的努力不足，因此需要采取不同的方法。
本实施研究旨在测试和验证基于数据的卫生平台（DIPH）策略在埃塞俄比亚南部盖德奥地区各行政区用于决策和孕产妇保健服务利用的数据使用方面的有效性。
已实施双臂平行组、II型混合、整群随机对照试验设计，于2022年9月1日至2024年2月29日进行该研究。六个县/行政区被分配到干预组，另外六个被分配到对照组。已从120名符合条件的卫生管理人员（来自干预组和对照组）收集了基线和终末数据。在干预组，通过将地区卫生管理人员与地区当前的决策平台（如绩效审查团队会议）相结合，为他们提供了名为DIPH策略的专门培训和持续技术援助。DIPH策略主要侧重于五个步骤的方法，如情况评估、利益相关者参与、确定/设定优先事项、规划和跟进。对照组的卫生管理人员进行日常常规活动。使用t检验和F检验来检查干预效果。此外，由于变化可能随时间固有地发生，因此计算了差分估计。使用p值<0.05和95%置信区间来宣布干预的显著性。
本研究的结果本应深入了解改善县一级决策和孕产妇保健服务利用中数据使用的实施策略，并揭示促进这些策略响应的背景因素。
