Kuvuna Beatrice, Nyanchoka Moriasi, Guleid Fatuma, Ogutu Michael, Tsofa Benjamin, Nzinga Jacinta
Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Health Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Wellcome Open Res. 2024 Oct 21;9:485. doi: 10.12688/wellcomeopenres.22780.1. eCollection 2024.
The community-based health information system (CBHIS) is a vital component of the community health system, as it assesses community-level healthcare service delivery and generates data for community health programme planning, monitoring, and evaluation. CBHIS promotes data-driven decision-making, by identifying priority interventions and programs, guiding resource allocation, and contributing to evidence-based policy development.
This scoping review aims to comprehensively examine the use of CBHIS in African countries, focusing on data generation, pathways, utilisation of CBHIS data, community accessibility to the data and use of the data to empower communities.
We utilised Arksey and O'Malley's scoping review methodology. We searched eight databases: PubMed, EMBASE, HINARI, Cochrane Library, Web of Science, Scopus, Google Scholar, and grey literature databases (Open Grey and OAIster). We synthesised findings using a thematic approach.
Our review included 55 articles from 27 African countries, primarily in Eastern and Southern Africa, followed by West Africa. Most of the studies were either quantitative (42%) or qualitative (33%). Paper-based systems are primarily used for data collection in most countries, but some have adopted electronic/mobile-based systems or both. The data flow for CBHIS varies by country and the tools used for data collection. CBHIS data informs policies, resource allocation, staffing, community health dialogues, and commodity supplies for community health programmes. Community dialogue is the most common approach for community engagement, empowerment, and sharing of CBHIS data with communities. Community empowerment tends towards health promotion activities and health provider-led approaches.
CBHIS utilises both paper-based and electronic-based systems to collect and process data. Nevertheless, most countries rely on paper-based systems. Most of the CBHIS investments have focused on digitisation and enhancing data collection, process, and quality. However, there is a need to shift the emphasis towards enabling data utilisation at the community level and community empowerment.
基于社区的健康信息系统（CBHIS）是社区卫生系统的重要组成部分，因为它评估社区层面的医疗服务提供情况，并为社区卫生项目的规划、监测和评估生成数据。CBHIS通过确定优先干预措施和项目、指导资源分配以及为循证政策制定做出贡献，促进数据驱动的决策。
本范围综述旨在全面考察CBHIS在非洲国家的使用情况，重点关注数据生成、数据路径、CBHIS数据的利用、社区对数据的可及性以及利用数据增强社区权能。
我们采用了阿克西和奥马利的范围综述方法。我们检索了八个数据库：PubMed、EMBASE、HINARI、Cochrane图书馆、科学网、Scopus、谷歌学术以及灰色文献数据库（Open Grey和OAIster）。我们采用主题方法对研究结果进行了综合。
我们的综述纳入了来自27个非洲国家的55篇文章，主要来自东非和南非，其次是西非。大多数研究为定量研究（42%）或定性研究（33%）。在大多数国家，纸质系统主要用于数据收集，但有些国家采用了电子/移动系统或两者兼用。CBHIS的数据流因国家和用于数据收集的工具而异。CBHIS数据为社区卫生项目的政策、资源分配、人员配备、社区健康对话和商品供应提供信息。社区对话是社区参与、赋权以及与社区共享CBHIS数据的最常见方式。社区赋权倾向于健康促进活动和由卫生服务提供者主导的方法。
CBHIS利用纸质和电子系统来收集和处理数据。然而，大多数国家依赖纸质系统。CBHIS的大部分投资集中在数字化以及加强数据收集、处理和质量方面。然而，有必要将重点转向促进社区层面的数据利用和社区赋权。
