Community case management of malaria: exploring support, capacity and motivation of community medicine distributors in Uganda
Bibliographic record
Abstract
BACKGROUND: In Uganda, community services for febrile children are expanding from presumptive treatment of fever with anti-malarials through the home-based management of fever (HBMF) programme, to include treatment for malaria, diarrhoea and pneumonia through Integrated Community Case Management (ICCM). To understand the level of support available, and the capacity and motivation of community health workers to deliver these expanded services, we interviewed community medicine distributors (CMDs), who had been involved in the HBMF programme in Tororo district, shortly before ICCM was adopted. METHODS: Between October 2009 and April 2010, 100 CMDs were recruited to participate by convenience sampling. The survey included questionnaires to gather information about the CMDs' work experience and to assess knowledge of fever case management, and in-depth interviews to discuss experiences as CMDs including motivation, supervision and relationships with the community. All questionnaires and knowledge assessments were analysed. Summary contact sheets were made for each of the 100 interviews and 35 were chosen for full transcription and analysis. RESULTS: CMDs faced multiple challenges including high patient load, limited knowledge and supervision, lack of compensation, limited drugs and supplies, and unrealistic expectations of community members. CMDs described being motivated to volunteer for altruistic reasons; however, the main benefits of their work appeared related to 'becoming someone important', with the potential for social mobility for self and family, including building relationships with health workers. At the time of the survey, over half of CMDs felt demotivated due to limited support from communities and the health system. CONCLUSIONS: Community health worker programmes rely on the support of communities and health systems to operate sustainably. When this support falls short, motivation of volunteers can wane. If community interventions, in increasingly complex forms, are to become the solution to improving access to primary health care, greater attention to what motivates individuals, and ways to strengthen health system support are required.
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 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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".