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Record W4404533433 · doi:10.5463/thesis.905

As long as you have engaged Community Health Promoters, no one cares if you have involved the CHCs or not”

2024· dissertation· en· W4404533433 on OpenAlexaff
Robinson Karuga

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsAthena Sustainable Materials Institute
Fundersnot available
KeywordsPromoterMedicineData scienceSociologyGerontologyComputer scienceBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Community participation is an essential process that entails empowering lay community members to actively engage in the decision-making, planning and evaluating the delivery of primary health care (PHC) services. In Kenya, Community Health Committees (CHCs) are mechanisms for lay community members to participate in overseeing the delivery of basic health services at the household and community levels. There is limited research or programmatic evidence on the impact and functionality of CHCs. This thesis defines CHC functionality as the extent to which CHCs provide a platform for lay community members to participate in leadership, planning, mobilizing and managing resources, and evaluating the delivery of community health services in their communities. The research questions are: i) What factors influence the functionality of CHCs as mechanisms of community participation in sub-Saharan Africa and in Kenya specifically? ii) How do CHCs’ relationships and communication with outside stakeholders and within the CHC influence the functionality of CHCs as mechanisms of community participation in Kenya? iii) How does the implementation of community/ CHC-related health policy influence the functionality of CHCs in Kenya? This research was conducted within the scope of Health Systems and Policy Research (HPSR) using a descriptive qualitative design. Data were collected between 2017 and 2021 using a combination of interviews, document reviews, and focus group discussions. Key lessons: i) There is a disproportionate focus on the delivery of community health services by health professionals over community participation through CHCs. When service delivery takes precedence, health professionals invest more time and resources in CHPs, who are perceived as more valuable in helping to achieve service delivery targets compared to CHCs. ii) Power asymmetry in CHCs affects their functionality. Power asymmetry is driven by uneven access to information and resources. Health professionals who work with CHCs exert their power by stereotyping lay community members in CHCs and excluding them from decision-making and planning processes. Lay CHCs members who are also CHPs have more access to information and resources from health professionals and other actors, such as NGOs, compared to non-CHPs. iii) Inter-role conflict among CHAs and CHPs, who are also CHC members, arises due to the dual responsibilities of providing community health services while also overseeing the delivery of those same services. Inter-role conflict influences the functionality of CHCs because CHAs and CHPs tend to focus more on meeting service delivery targets at the expense of playing their designated oversight roles as CHC members. iv) Health professionals often select CHC members they find it easier to work with. They prefer to work with elite members in relatively affluent communities and have a higher educational status than other community members. The process of selecting these members often needs to be more transparent and participatory, which erodes the trust and legitimacy of CHCs among their constituents. While CHC members may not resemble vulnerable and marginalized persons in their communities, they often stand for the interests of those they represent. While elite community members use their gravitas to advance the representative agenda of CHCs, there is a risk of elite capture in the decision-making processes. The findings and reflections in this thesis contribute to a better understanding of the complex contextual factors and interpersonal interactions that influence the functionality of CHCs in Kenya. This research also provides practical insights for health managers and policymakers in other low and middle-income settings on how to strengthen community participation through CHCs. In conclusion, the analyzed CHCs exhibited limited functionality in fulfilling their role as mechanisms for community participation, due to power imbalances within CHCs, inadequate policy guidance, insufficient awareness of roles and responsibilities, and suboptimal teamwork.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0040.005
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0330.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.128
GPT teacher head0.456
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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