ArticleJournal of the International AIDS Society2016
Opportunities and challenges in conducting secondary analysis of HIV programmes using data from routine health information systems and personal health information.
Article in Journal of the International AIDS Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Using routine health information data for research in low- and middle-income countries: a systematic review.BMC health services research · 2020Pooled it
- Regulatory framework for health information systems in Ethiopia: A qualitative document analysis.Health information management : journal of the Health Information Management Association of Australia · 2026Article
- Transforming routine health data use in LMICs through modular, AI-supported automation: insights from Zimbabwe.Oxford open digital health · 2026Article
- Health facility and contextual correlates of HIV test positivity: a multilevel model of routine programmatic data from Malawi.BMJ public health · 2025Article
- Article
- Factors associated with viral load testing and viral suppression among HIV-positive female sex workers in Nigeria.PloS one · 2024Article
- Alinhamento de Dados Entre os Sistemas de Reporte de HIV em Moçambique, 2017-2023.Revista Mocambicana de ciencias de saude · 2024Article
- Development of novel composite data quality scores to evaluate facility-level data quality in electronic data in Kenya: a nationwide retrospective cohort study.BMC health services research · 2023Article
- Lessons learned from over a decade of data audits in international observational HIV cohorts in Latin America and East Africa.Journal of clinical and translational science · 2023Article
- Early infant diagnosis testing for HIV in a hard-to-reach fishing community in Uganda.PloS one · 2023Article
- Using routine programmatic data to measure HIV incidence among pregnant women in Botswana.Population health metrics · 2022Article
- Antiretroviral therapy (ART) coverage at public and private ART facilities in Myanmar.AIDS care · 2021Article
- Identifying barriers and facilitators in HIV-indicator reporting for different health facility performances: A qualitative case study.PloS one · 2021Article
- Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya.BMC medical informatics and decision making · 2020Article
- Cascade Analysis: An Adaptable Implementation Strategy Across HIV and Non-HIV Delivery Platforms.Journal of acquired immune deficiency syndromes (1999) · 2019Article
- Making Smarter Decisions Faster: Systems Engineering to Improve the Global Public Health Response to HIV.Current HIV/AIDS reports · 2019Review
- Treating loss-to-follow-up as a missing data problem: a case study using a longitudinal cohort of HIV-infected patients in Haiti.BMC public health · 2018Article
- Monitoring Sustainable Development Goal 3: how ready are the health information systems in low-income and middle-income countries?BMJ global health · 2017Review
- Lessons learned and study results from HIVCore: an HIV implementation science initiative.Journal of the International AIDS Society · 2016Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
introductionHIV programme data from routine health information systems (RHIS) and personal health information (PHI) provide ample opportunities for secondary data analysis. However, these data pose unique opportunities and challenges for use in health system monitoring, along with process and impact evaluations.
methodsAnalyses focused on retrospective case reviews of four of the HIV-related studies published in this JIAS supplement. We identify specific opportunities and challenges with respect to the secondary analysis of RHIS and PHI data.
resultsChallenges working with both HIV-related RHIS and PHI included missing, inconsistent and implausible data; rapidly changing indicators; systematic differences in the utilization of services; and patient linkages over time and different data sources. Specific challenges among RHIS data included numerous registries and indicators, inconsistent data entry, gaps in data transmission, duplicate registry of information, numerator-denominator incompatibility and infrequent use of data for decision-making. Challenges specific to PHI included the time burden for busy providers, the culture of lax charting, overflowing archives for paper charts and infrequent chart review.
conclusionsMany of the challenges that undermine effective use of RHIS and PHI data for analyses are related to the processes and context of collecting the data, excessive data requirements, lack of knowledge of the purpose of data and the limited use of data among those generating the data. Recommendations include simplifying data sources, analysis and reporting; conducting systematic data quality audits; enhancing the use of data for decision-making; promoting routine chart review linked with simple patient tracking systems; and encouraging open access to RHIS and PHI data for increased use.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.