ArticleJournal of the International AIDS Society2024
Power, data and social accountability: defining a community-led monitoring model for strengthened health service delivery.
Article in Journal of the International AIDS Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Chronic myeloid and lymphocytic leukemias in the elderly: public health challenges in early detection and long-term care.Annals of medicine and surgery (2012) · 2026Review
- From Accra to America: Putting development first in global health.PLOS global public health · 2026Article
- Impact of the Anti-Homosexuality Act on HIV service delivery in Uganda: Evidence from community-led monitoring.Journal of the International AIDS Society · 2025Article
- Approaches used to monitor the effectiveness of community-led monitoring programmes: a scoping review to inform HIV programmes.Journal of the International AIDS Society · 2025Article
- Implementing the new WHO guidelines on HIV post-exposure prophylaxis: perspectives from five African countries.Journal of the International AIDS Society · 2025Article
- Implementing Racial and Social Justice Policies: A Qualitative Study of Three Local U.S. Jurisdictions.Health equityArticle
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
introductionDespite international commitment to achieving the end of HIV as a public health threat, progress is off-track and existing gaps have been exacerbated by COVID-19's collision with existing pandemics. Born out of models of political accountability and historical healthcare advocacy led by people living with HIV, community-led monitoring (CLM) of health service delivery holds potential as a social accountability model to increase the accessibility and quality of health systems. However, the effectiveness of the CLM model in strengthening accountability and improving service delivery relies on its alignment with evidence-based principles for social accountability mechanisms. We propose a set of unifying principles for CLM to support the impact on the quality and availability of health services. DISCUSSION: Building on the social accountability literature, core CLM implementation principles are defined. CLM programmes include a community-led and independent data collection effort, in which the data tools and methodology are designed by service users and communities most vulnerable to, and most impacted by, service quality. Data are collected routinely, with an emphasis on prioritizing and protecting respondents, and are then be used to conduct routine and community-led advocacy, with the aim of increasing duty-bearer accountability to service users. CLM efforts should represent a broad and collective community response, led independently by impacted communities, incorporating both data collection and advocacy, and should be understood as a long-term approach to building meaningful engagement in systems-wide improvements rather than discrete interventions.
conclusionsThe CLM model is an important social accountability mechanism for improving the responsiveness of critical health services and systems to communities. By establishing a collective understanding of CLM principles, this model paves the way for improved proliferation of CLM with fidelity of implementation approaches to core principles, rigorous examinations of CLM implementation approaches, impact assessments and evaluations of CLM's influence on service quality improvement.
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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.