Measurement of district health system strengthening efforts for maternal and newborn health service delivery: synchronized application of evaluation models in the West Nile region, Uganda, 2019-2021.

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES BMC Health Services Research Pub Date : 2025-02-17 DOI:10.1186/s12913-025-12276-w
Simon Muhumuza, Ibrahim M Lutalo, Julius Ssendiwala, Grace Latigi, Patricia Pirio, Chimwemwe Msukwa, Fabian Mwanyumba, Fatima Gohar, Tedbabe Degefie Hailegebriel, Atnafu Getachew Asfaw, Anne-Marie Bergh
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Abstract

Introduction: Uganda has high maternal, neonatal, and under-five mortality rates. Between 2019 and 2021, the United Nations Children's Fund (UNICEF), in collaboration with the Ministry of Health and other partners, implemented a maternal and newborn health (MNH) quality improvement programme in the West Nile region of Uganda to improve the delivery and utilization of MNH services. This study describes the application of health system evaluation models to monitor changes in health system capacity and the quality of MNH services.

Methods: We designed two novel health system evaluation models-the Progression and ServQual models-which progressively monitor changes in health system capacity and quality of health services. The progression model was designed to measure changes in health system capacity using a set of indicators and benchmarks. For each health system component, the tool generates scores as follows: > 90% for level 4 progression (surpasses basic expectations); 70-90% for level 3 (meets basic expectations); 50- < 70% for level 2 (needs improvement); and < 50% for level 1 progression (needs urgent attention). The quality of MNH services was monitored through annual client satisfaction surveys using the ServQual model. The identified health system capacity and service quality gaps were used to inform corrective actions.

Results: Overall, the average health system capacity scores across the 12 districts increased from 62.9% (level 2) in 2019 to 71.2% (level 3) in 2021. The capacity scores for each health system component increased: governance and leadership increased from 67.7% to 74.1%, health financing increased from 67.4% to 69.3%, access to essential medicines increased from 50.2% to 77.0%, the health information system increased from 71.8% to 74.9%, the health workforce increased from 56.8% to 66.9%, and MNH service delivery slightly increased from 63.5% to 64.5%. Client satisfaction with the quality of MNH services increased from 26.5% in 2019 to 39.8% in 2021.

Conclusion: Synchronized application of the Progression and ServQual models is an important innovative strategy for monitoring changes in district health system capacity and quality of health services. The results of applying these models can be used to guide better targeting for health system capacity improvement.

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导言:乌干达的孕产妇、新生儿和五岁以下儿童死亡率很高。2019 年至 2021 年期间,联合国儿童基金会(UNICEF)与乌干达卫生部及其他合作伙伴合作,在乌干达西尼罗河地区实施了一项孕产妇和新生儿健康(MNH)质量改进计划,以改善孕产妇和新生儿健康服务的提供和利用。本研究介绍了如何应用卫生系统评估模型来监测卫生系统能力和孕产妇和新生儿保健服务质量的变化:我们设计了两个新颖的医疗系统评估模型--"进步 "模型和 "服务质量 "模型--这两个模型可逐步监测医疗系统能力和医疗服务质量的变化。渐进模型旨在利用一套指标和基准来衡量医疗系统能力的变化。对于卫生系统的每个组成部分,该工具可生成如下分数:>90%为第 4 级进展(超过基本预期);70-90%为第 3 级(达到基本预期);50- 结果:总体而言,12 个地区的卫生系统能力平均得分从 2019 年的 62.9%(2 级)增至 2021 年的 71.2%(3 级)。卫生系统各组成部分的能力得分均有所提高:治理和领导力从 67.7% 提高到 74.1%,卫生筹资从 67.4% 提高到 69.3%,基本药物的可及性从 50.2% 提高到 77.0%,卫生信息系统从 71.8% 提高到 74.9%,卫生工作者队伍从 56.8% 提高到 66.9%,初级保健服务的提供从 63.5% 略微提高到 64.5%。客户对 MNH 服务质量的满意度从 2019 年的 26.5%提高到 2021 年的 39.8%:同步应用 "进步 "和 "服务质量 "模型是监测地区卫生系统能力和卫生服务质量变化的重要创新策略。应用这些模型的结果可用于指导更好地确定卫生系统能力改进的目标。
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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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