Improving Malaria Case Management and Referral Relationships at the Primary Care Level in Ghana: Evaluation of a Quality Assurance Internship
Bibliographic record
Abstract
In Ghana, Community-based Health Planning and Services (CHPS) compounds managed by trained nurses and midwives called community health officers (CHOs) play a major role in malaria service delivery. With heavy administrative burdens and minimal training in providing patient care, particularly for febrile illnesses, including malaria, CHOs struggle to comply with the World Health Organization’s test, treat, and track initiative guidelines and appropriate referral practices. A clinical training and mentorship program was implemented for CHOs to prevent and manage uncomplicated malaria and offer appropriate pre-referral treatment and referrals to district hospitals. Medical officers, pharmacists, midwives, health information officers, and medical laboratory scientists at 52 district referral hospitals were trained as mentors; CHOs from 520 poorly performing CHPS compounds underwent a 5-day internship at their assigned district referral hospital to improve knowledge and clinical skills for malaria case management. Three months later, mentors conducted post-training mentoring visits to assess knowledge and skill retention and provide ongoing on-the-job guidance. Significant percentage-point increases were observed immediately post-internship for history taking (+12.0, 95% confidence interval [CI]=8.3, 15.1; <i>P</i><.001); fever assessment (+24.9, 95% CI=20.9, 29.3; <i>P</i><.001); severe malaria assessment and referral (+32.0, 95% CI=28.2, 35.8; <i>P</i><.001); and knowledge assessment (+15.8, 95% CI=10.0, 21.3; <i>P</i><.001). Three months later, a third assessment revealed these gains were largely maintained. Analysis of national health management information system data showed statistically significant improvements in testing, treatment, and referral indicators at intervention CHPS compounds after the intervention that were not observed in comparison CHPS compounds. This training and mentorship approach offers a replicable model to build primary care provider competencies in malaria prevention and management and demonstrates how developing relationships between primary care and first-level referral facilities benefits both providers and clients. More methodologically rigorous studies are needed to measure the impact of this approach.
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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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".