ArticleActa medica Philippina2025
Incorporating Praxis into Community Engagement-Self Monitoring: A Case Study on Applied Social Innovation in Rural Philippines.
Article in Acta medica Philippina, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Social Innovation in Health Initiative Philippines introduced the community engagement self-monitoring strategy in two community-managed social innovations in 2021. Phase 1 demonstrated the strategy's viability by identifying community "local monitors," selecting indicators, monitoring, and conducting feedback sessions. In 2022, a second phase was implemented to improve the process by integrating capacity-building activities and praxis sessions, and gathering insights on the strategy's sustainability. Objective: In this paper, we sought to describe the stages of the CE-SM strategy applied within a Philippine local health system in geographically isolated and disadvantaged contexts. Specifically, we: 1) Identified the key competencies of the local CE-SM monitors; 2) facilitated capacity building to strengthen their skills and abilities; 3) explored sustainability mechanisms; and 4) identified integration points of the CE-SM in strengthening local health systems. Methods: Two communities in a rural municipality implementing a social innovation called the "Seal of Health Governance'' were chosen for the expanded community engagement self-monitoring (CE-SM) pilot. Profiling of local monitors and self-assessment of competencies were facilitated. Capacity-building activities were conducted for community engagement, data processing, and data analysis, complemented by praxis sessions guided by people-centered principles. Results: Local monitors from both communities showed determination in performing their responsibilities but differed in their levels of participation. Their appreciation of their role increased as it broadened from merely collecting data to understanding and using it to advocate for their community's needs. The minimum resources for communities to implement the strategy include financial mechanisms to ensure the availability of resources. Local monitors have improved their ability to analyze their communities' realities, particularly regarding health leadership and governance. Conclusions: Community engagement self-monitoring is a feasible and sustainable strategy for monitoring and evaluating health interventions if adequate support is provided and complemented by capacity-building and praxis sessions. It promotes listening to the community and empowering them to participate in decision-making, which are vital in fostering ownership and sustainability of social innovations in health.
Indexed as
Identifiers
What OpenQuestion holds
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.