University of Waterloo, Canada.
Wilfrid Laurier University, Canada.
Health Inf Manag. 2022 Sep;51(3):135-148. doi: 10.1177/1833358320928729. Epub 2020 Jun 30.
Routine health information systems (RHISs) are crucial to informing decision-making at all levels of the health system. However, the use of RHIS data in low- and middle-income countries (LMICs) is limited due to concerns regarding quality, accuracy, timeliness, completeness and representativeness.
This study systematically reviewed technical, behavioural and organisational/environmental challenges that hinder the use of RHIS data in LMICs and strategies implemented to overcome these challenges.
Four electronic databases were searched for studies describing challenges associated with the use of RHIS data and/or strategies implemented to circumvent these challenges in LMICs. Identified articles were screened against inclusion and exclusion criteria by two independent reviewers.
Sixty studies met the inclusion criteria and were included in this review, 55 of which described challenges in using RHIS data and 20 of which focused on strategies to address these challenges. Identified challenges and strategies were organised by their technical, behavioural and organisational/environmental determinants and by the core steps of the data process. Organisational/environmental challenges were the most commonly reported barriers to data use, while technical challenges were the most commonly addressed with strategies.
Despite the known benefits of RHIS data for health system strengthening, numerous challenges continue to impede their use in practice.
Additional research is needed to identify effective strategies for addressing the determinants of RHIS use, particularly given the disconnect identified between the type of challenge most commonly described in the literature and the type of challenge most commonly targeted for interventions.
常规卫生信息系统(RHIS)对于告知各级卫生系统的决策至关重要。然而,由于对质量、准确性、及时性、完整性和代表性的担忧,RHIS 数据在低收入和中等收入国家(LMICs)的使用受到限制。
本研究系统地回顾了在 LMICs 中使用 RHIS 数据所面临的技术、行为和组织/环境挑战,以及为克服这些挑战而实施的策略。
四个电子数据库搜索了描述与在 LMICs 中使用 RHIS 数据相关的挑战以及为克服这些挑战而实施的策略的研究。两名独立评审员根据纳入和排除标准对确定的文章进行了筛选。
有 60 项研究符合纳入标准,并被纳入本综述,其中 55 项研究描述了使用 RHIS 数据的挑战,20 项研究侧重于解决这些挑战的策略。确定的挑战和策略按照其技术、行为和组织/环境决定因素以及数据处理的核心步骤进行组织。组织/环境挑战是阻碍数据使用最常见的障碍,而技术挑战是最常通过策略来解决的。
尽管 RHIS 数据对加强卫生系统有已知的好处,但仍有许多挑战继续阻碍其在实践中的使用。
需要进一步研究,以确定解决 RHIS 使用决定因素的有效策略,特别是鉴于文献中最常描述的挑战类型与最常针对干预措施的挑战类型之间存在脱节。