The effect of Integrated Management of Childhood Illness on observed quality of care of under-fives in rural Tanzania
Bibliographic record
Abstract
Integrated Management of Childhood Illness (IMCI) has been adopted by over 80 countries as a strategy for reducing child mortality and improving child health and development. It includes complementary interventions designed to address the major causes of child mortality at community, health facility, and health system levels. The Multi-Country Evaluation of IMCI Effectiveness, Cost and Impact (IMCI-MCE) is a global evaluation to determine the impact of IMCI on health outcomes and its cost-effectiveness. The MCE is coordinated by the Department of Child and Adolescent Health and Development of the World Health Organization. MCE studies are under way in Bangladesh, Brazil, Peru, Tanzania and Uganda. In Tanzania, the IMCI-MCE study uses a non-randomized observational design comparing four neighbouring districts, two of which have been implementing IMCI in conjunction with evidence-based planning and expenditure mapping at district level since 1997, and two of which began IMCI implementation in 2002. In these four districts, child health and child survival are documented at household level through cross-sectional, before-and-after surveys and through longitudinal demographic surveillance respectively. Here we present results of a survey conducted in August 2000 in stratified random samples of government health facilities to compare the quality of case-management and health systems support in IMCI and comparison districts. The results indicate that children in IMCI districts received better care than children in comparison districts: their health problems were more thoroughly assessed, they were more likely to be diagnosed and treated correctly as determined through a gold-standard re-examination, and the caretakers of the children were more likely to receive appropriate counselling and reported higher levels of knowledge about how to care for their sick children. There were few differences between IMCI and comparison districts in the level of health system support for child health services at facility level. This study suggests that IMCI, in the presence of a decentralized health system with practical health system planning tools, is feasible for implementation in resource-poor countries and can lead to rapid gains in the quality of case-management. IMCI is therefore likely to lead to rapid gains in child survival, health and development if adequate coverage levels can be achieved and maintained.
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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 | 0.001 | 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".