Understanding Integrated Community Case Management Institutionalization Processes Within National Health Systems in Malawi, Mali, and Rwanda: A Qualitative Study
Bibliographic record
Abstract
INTRODUCTION: Since 2012, the World Health Organization (WHO) and UNICEF have recommended integrated Community Case Management (iCCM) of childhood illnesses as an intervention delivered by community health workers (CHWs) in areas with limited access to health facilities to increase access to lifesaving interventions for children younger than 5 years with malaria, pneumonia, or diarrhea. In recent years, the importance of institutionalizing iCCM and community health more broadly within national health systems has become increasingly recognized. METHODS: This qualitative study sought to identify and describe processes of iCCM institutionalization from the perspectives of health system actors. A total of 51 semistructured interviews were conducted with purposefully selected key informants in 3 countries: Malawi, Mali, and Rwanda. Thematic analysis of coded interview data was conducted, and country documentation was reviewed to provide contextual background for qualitative interpretation. The study was informed by a newly developed iCCM Institutionalization Framework, which conceptualizes the process of institutionalization through a maturity model of phases (i.e., awareness, experimentation, expansion, consolidation, and maturity) with 4 drivers: core values, leadership, resources, and policy. RESULTS: According to key informant narrative descriptions, processes of iCCM institutionalization reflected a progression of maturity phases, which were iterative rather than linear in progression. All 4 drivers of institutionalization as conceptualized within the iCCM Institutionalization Framework were described by key informants as contributing to the advancement of iCCM institutionalization within their countries. Key informants emphasized the need to continually strengthen or reinforce iCCM institutionalization for it to be sustained within the context of wider health system dynamics. CONCLUSION: Overall, key informants viewed government ownership and integration within national systems to define the status of iCCM institutionalization. Further development of the iCCM Institutionalization Framework and other practical sensemaking models could assist health system actors in advancing institutionalization of iCCM and other health interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".