How Can Community Data Be Leveraged to Advance Primary Health Care? A Scoping Review of Community-Based Health Information Systems

Shivani Pandya; Lena Kan; Emily Parr; Claire Twose; Alain B Labrique; Smisha Agarwal

doi:10.9745/GHSP-D-23-00429

How Can Community Data Be Leveraged to Advance Primary Health Care? A Scoping Review of Community-Based Health Information Systems

Glob Health Sci Pract. 2024 Apr 29;12(2):e2300429. doi: 10.9745/GHSP-D-23-00429. Print 2024 Apr 29.

Authors

Shivani Pandya^{1

2}, Lena Kan^{1

2}, Emily Parr^{1

2}, Claire Twose³, Alain B Labrique², Smisha Agarwal^{4

2}

Affiliations

¹ Center for Global Digital Health Innovation, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
² Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
³ Welch Medical Library, Johns Hopkins School of Medicine, Baltimore, MD, USA.
⁴ Center for Global Digital Health Innovation, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. sagarw23@jh.edu.

Abstract

Background: Community-based health information systems (CBISs) can provide critical insights into how community health systems function, and digitized CBISs may improve the quality of community-level data and facilitate integration and use of CBISs within the broader health system. This scoping review aims to understand how CBISs have been implemented, integrated, and used to support community health outcomes in low- and middle-income countries (LMICs).

Methods: Both peer-reviewed and gray literature were included; relevant articles were identified using key terms and controlled vocabulary related to community/primary health care, health information systems, digital health, and LMICs. A total of 11,611 total records were identified from 5 databases and the gray literature. After deduplication, 6,985 peer-reviewed/gray literature were screened, and 95 articles/reports were included, reporting on 105 CBIS implementations across 38 countries.

Results: Findings show that 55% of CBISs included some level of digitization, with just 28% being fully digitized (for data collection and reporting). Data flow from the community level into the health system varied, with digitized CBISs more likely to reach national-level integration. National-level integration was primarily seen among vertical CBISs. Data quality challenges were present in both paper-based and digitized CBISs, exacerbated by fragmentation of the community health landscape with often parallel reporting systems. CBIS data use was constrained to mostly vertical and digitized (partially or fully) CBISs at national/subnational levels.

Conclusion: Digitization can play a pivotal role in strengthening CBIS use, but findings demonstrate that CBISs are only as effective as the community health systems they are embedded within. Community-level data are often not being integrated into national/subnational health information systems, undermining the ability to understand what the community health needs are. Furthermore, stronger investments within community health systems need to be in place broadly to reduce fragmentation and provide stronger infrastructural and systemic support to the community health workforce.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

Community Health Services* / organization & administration
Developing Countries
Health Information Systems*
Humans
Primary Health Care* / organization & administration