Evaluation of Client Satisfaction in a Community Health Centre: Selection of a Tool
Bibliographic record
Abstract
Abstract: Community health centres (CHCs) have emerged as sites in which services based on a primary health care (PHC) model are delivered. In the evaluation of the newly established Northeast CHC in Edmonton, Alberta, client satisfaction was a significant part of the evaluation component on community participation. A reliable and valid tool was sought to measure the dimensions of client satisfaction appropriate for a CHC that is based on the principles of PHC. Using criteria established to assist the evaluators in choosing an appropriate tool, the Service Satisfaction Scale was selected because it was comprehensive, appropriate, and psychometrically acceptable. Refinement on the basis of client and provider input led to a revised client satisfaction tool that is currently being tested. The authors suggest that, congruent with the PHC model, a multimethod approach that incorporates focus groups and individual interviews should be employed in evaluation of client satisfaction to add useful information about client perspectives.
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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 | 0.020 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".