Ethical considerations related to participation and partnership: an investigation of stakeholders’ perceptions of an action-research project on user fee removal for the poorest in Burkina Faso
Bibliographic record
Abstract
BACKGROUND: Healthcare user fees present an important barrier for accessing services for the poorest (indigents) in Burkina Faso and selective removal of fees has been incorporated in national healthcare planning. However, establishing fair, effective and sustainable mechanisms for the removal of user fees presents important challenges. A participatory action-research project was conducted in Ouargaye, Burkina Faso, to test mechanisms for identifying those who are indigents, and funding and implementing user fee removal. In this paper, we explore stakeholder perceptions of ethical considerations relating to participation and partnership arising in the action-research. METHODS: We conducted 39 in-depth interviews to examine ethical issues associated with the action-research. Respondents included 14 individuals identified as indigent through the community selection process, seven members of village selection committees, six local healthcare professionals, five members of the management committees of local health clinics, five members of the research team, and four regional or national policy-makers. Using constant comparative techniques, we carried out an inductive thematic analysis of the collected data. RESULTS: The Ouargaye project involved a participatory model, included both implementation and research components, and focused on a vulnerable group within small, rural communities. Stakeholder perceptions and experiences relating to the participatory approach and reliance on multiple partnerships in the project were associated with a range of ethical considerations related to 1) seeking common ground through communication and collaboration, 2) community participation and risk of stigmatization, 3) impacts of local funding of the user fee removal, 4) efforts to promote fairness in the selection of the indigents, and 5) power relations and the development of partnerships. CONCLUSIONS: This investigation of the Ouargaye project serves to illuminate the distinctive ethical terrain of a participatory public health action-research project. In carrying out such projects, careful attention and effort is needed to establish and maintain respectful relationships amongst those involved, acknowledge and address differences of power and position, and evaluate burdens and risks for individuals and groups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".