ArticleBMC health services research2019
Facilitators, best practices and barriers to integrating family planning data in Uganda's health management information system.
Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Interventions to improve district-level routine health data in low-income and middle-income countries: a systematic review.BMJ global health · 2021Pooled it
- Pooled it
- Attitude and practices of district-level HMIS managers towards malaria routine reporting in Uganda: a 2024 cross-sectional study.Malaria journal · 2026Article
- Stillbirth and newborn data quality and use and related input and process factors: findings of the IMPULSE study in Uganda.Journal of global health · 2026Article
- Utilization of routine health information system and its determinants among healthcare professionals in public health facilities of Banadir region, Somalia: A cross-sectional study.BMC health services research · 2026Article
- From data collection to action: environmental health information management practices in eleven municipalities in the east coast of South Africa.Frontiers in health services · 2026Article
- Comparative Effectiveness of DHIS2 and FAIR Data Approaches for Privacy-Preserving Health Data Analytics in Uganda: A Systematic Review.ClinicoEconomics and outcomes research : CEOR · 2025Review
- Unlocking health insights: exploring intention to adopt district health information systems in Bahir Dar City, northwest Ethiopia.Frontiers in digital health · 2025Article
- Article
- Healthcare providers' views of factors influencing family planning data quality in Tshwane District, South Africa.African journal of primary health care & family medicine · 2022Article
- Behavioral Determinants of Routine Health Information System Data Use in Senegal: A Qualitative Inquiry Based on the Integrated Behavioral Model.Global health, science and practice · 2022Article
- Article
- Barriers and facilitators for the sustainability of digital health interventions in low and middle-income countries: A systematic review.Frontiers in digital health · 2022Review
- Routine Family Planning Data in the Low- and Middle-Income Country Context: A Synthesis of Findings From 17 Small Research Grants.Global health, science and practice · 2020Review
- Factors associated with the performance of routine health information system in Yaoundé-Cameroon: a cross-sectional survey.BMC medical informatics and decision making · 2020Article
- Electronic Health Information Systems to Improve Disease Diagnosis and Management at Point-of-Care in Low and Middle Income Countries: A Narrative Review.Diagnostics (Basel, Switzerland) · 2020Review
- The costs of developing, deploying and maintaining electronic immunisation registries in Tanzania and Zambia.BMJ global health · 2019Article
- Article
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7 authors.
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Abstract
backgroundHealth management information systems (HMIS) are instrumental in addressing health delivery problems and strengthening health sectors by generating credible evidence about the health status of clients. There is paucity of studies which have explored possibilities for integrating family planning data from the public and private health sectors in Uganda's national HMIS. This study sought to investigate the facilitators, best practices and barriers of integrating family planning data into the district and national HMIS in Uganda.
methodsWe conducted a qualitative study in Kampala, Jinja, and Hoima Districts of Uganda, based on 16 key informant interviews and a multi-stakeholder dialogue workshop with 11 participants. Deductive and inductive thematic methods were used to analyze the data.
resultsThe technical facilitators of integrating family planning data from public and private facilities in the national and district HMIS were user-friendly software; web-based and integrated reporting; and availability of resources, including computers. Organizational facilitators included prioritizing family planning data; training staff; supportive supervision; and quarterly performance review meetings. Key behavioral facilitators were motivation and competence of staff. Collaborative networks with implementing partners were also found to be essential for improving performance and sustainability. Significant technical barriers included limited supply of computers in lower level health facilities, complex forms, double and therefore tedious entry of data, and web-reporting challenges. Organizational barriers included limited human resources; high levels of staff attrition in private facilities; inadequate training in data collection and use; poor culture of information use; and frequent stock outs of paper-based forms. Behavioral barriers were low use of family planning data for planning purposes by district and health facility staff.
conclusionFamily planning data collection and reporting are integrated in Uganda's district and national HMIS. Best practices included integrated reporting and performance review, among others. Limited priority and attention is given to family planning data collection at the facility and national levels. Data are not used by the health facilities that collect them. We recommend reviewing and tailoring data collection forms and ensuring their availability at health facilities. All staff involved in data reporting should be trained and regularly supervised.
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