The Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
Africa Health Research Institute, KwaZulu-Natal, South Africa.
Int J Health Policy Manag. 2022 May 1;11(5):610-628. doi: 10.34172/ijhpm.2020.178.
BACKGROUND: We evaluated continuous quality improvement (CQI) targeting antenatal HIV care quality in rural South Africa using a stepped-wedge cluster-randomised controlled trial (Management and Optimisation of Nutrition, Antenatal, Reproductive, Child health, MONARCH) and an embedded process evaluation. Here, we present results of the process evaluation examining determinants of CQI practice and 'normalisation.' METHODS: A team of CQI mentors supported public-sector health workers in seven primary care clinics to (1) identify root causes of poor HIV viral load (VL) monitoring among pregnant women living with HIV and repeat HIV testing among pregnant women not living with HIV, and (2) design and iteratively test their own solutions. We used a mixed methods evaluation with from CQI mentors ('dose' and 'reach' of CQI, causes of poor HIV care testing rates, implemented change ideas); (HIV care testing by clinic and time step); and with available health workers. We analysed field notes andsemi-structured for determinants of CQI implementation and 'normalisation' using Normalisation Process Theory (NPT) and Tailored Implementation of Chronic Diseases (TICD) frameworks. RESULTS: All interviewed health workers found the CQI mentors and methodology helpful for quality improvement. Total administered 'dose' was higher than planned but 'reach' was limited by resource constraints, particularly staffing shortages. Simple workable improvements to identified root causes were implemented, such as a patient tracking notebook and results filing system. VL monitoring improved over time, but not repeat HIV testing. Besides resource constraints, gaps in knowledge of guidelines, lack of leadership, poor clinical documentation, and data quality gaps reduced CQI implementation fidelity and normalisation. CONCLUSION: While CQI holds promise, we identified several health system challenges. Priorities for policy makers include improving staffing and strategies to improve clinical documentation. Additional support with implementing clinical guidelines and improving routine data quality are needed. Normalising CQI may be challenging without concurrent health system improvements.
背景:我们采用了一个渐进式的楔形集群随机对照试验(管理和优化营养、产前、生殖、儿童健康,MONARCH)和一个嵌入式过程评估,评估了南非农村地区针对产前艾滋病护理质量的持续质量改进(CQI)。在这里,我们展示了过程评估的结果,该评估检查了 CQI 实践和“正常化”的决定因素。
方法:一组 CQI 导师支持七家初级保健诊所的卫生工作者(1)确定艾滋病毒病毒载量(VL)监测不良的艾滋病毒阳性孕妇和未感染艾滋病毒的孕妇重复艾滋病毒检测的根本原因,以及(2)设计和迭代测试他们自己的解决方案。我们使用了混合方法评估,其中包括来自 CQI 导师的(CQI 的“剂量”和“范围”、导致艾滋病毒护理检测率低的原因、实施的变革思路);(诊所和时间步骤的艾滋病毒护理检测);以及对可用卫生工作者的访谈。我们使用常规过程理论(NPT)和慢性疾病的定制实施(TICD)框架分析实地记录和半结构化访谈,以确定 CQI 实施和“正常化”的决定因素。
结果:所有接受访谈的卫生工作者都认为 CQI 导师和方法对质量改进有帮助。总管理“剂量”高于计划,但“范围”受到资源限制的限制,特别是人员短缺。对确定的根本原因进行了简单可行的改进,例如患者跟踪笔记本和结果归档系统。VL 监测随着时间的推移而改善,但重复的 HIV 检测没有改善。除了资源限制之外,指南知识差距、缺乏领导力、临床文档记录不良以及数据质量差距,降低了 CQI 的实施一致性和正常化。
结论:虽然 CQI 有很大的潜力,但我们发现了一些卫生系统的挑战。政策制定者的优先事项包括改善人员配备和改善临床文档的战略。需要额外的支持来实施临床指南和改善常规数据质量。如果没有同时进行卫生系统改进,CQI 的“正常化”可能具有挑战性。
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