Utilization of Integrated Community Case Management and Its Factors in Southern Ethiopia: Facility Based-Cross-Sectional Study
Bibliographic record
Abstract
Background. An integrated community case management (ICCM) program fosters child health care seeking and access to appropriate treatment for illnesses in children at the community level in Ethiopia. There is paucity of evidence to the utilization of ICCM services by mothers/child caregivers in rural Sothern Ethiopia. Hence, the aim of this study was to determine the utilization of integrated community case management (ICCM) and its factors among mothers/child caregivers in rural Southern Ethiopia. Methods. A multistage sampling technique was used to select study participants in health care facilities offering child health care services. An exit interview was conducted on 574 mothers/child caregivers in randomly selected public health centres. Data were entered using Epi Info and transported to SPSS version 20 for analysis. Results. Only less than a quarter of participants visited health posts for ICCM services during the study period. Those study participants who have not heard about ICCM service before the survey were about 6.53 times more likely not to use the services as compared to those who have heard about the service. Participants who were not members of the women’s development team were about 2.23 times more likely not to utilize ICCM services when compared to their counterparts. Conclusion. The study shows low utilization of ICCM service by children less than five years. Prior information about ICCM services and membership in the health development army was significantly associated with ICCM use. Therefore, our finding may suggest the need for advocacy to increase participation in the health development army and information education to increase the level of awareness and formal education efforts.
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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".