Client Satisfaction with HIV Counseling Services
Bibliographic record
Abstract
BACKGROUND: Client satisfaction is a good predictor of performance of health programs. Hence, clients' perception and satisfaction studies provide insight to improve the program. PURPOSE: To assess clients' perception and satisfaction with Integrated Counselling and Testing Centres (ICTCs) for HIV in an operational setting. METHODS: A total of 191 client exit interviews from 12 ICTCs. The clients were stratified into general and antenatal clients. A systematic random sampling was done at high client load centers. RESULTS: Cumulative client satisfaction was found to be 60% (±24%). Most of the clients (76%) agreed that counseling cleared doubts about HIV and found counseling beneficial (71%). Only 32% of the clients could recall issues discussed during the sessions. However, 92.5% were satisfied with ICTC facilities. CONCLUSIONS: Poor perception and low satisfaction with ICTCs needs to be addressed as this could have a direct bearing on the program.
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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 | 0.001 |
| 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 | 0.001 |
| 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".