Refinement of indicators and criteria in a quality tool for assessing quality in primary care in Canada: a Delphi Panel study
Bibliographic record
Abstract
PURPOSE: Primary care is the cornerstone of the health care system and increasingly countries are developing indicators for assessing quality in primary care practices. The 'Quality Tool', developed in Ontario, Canada, provides a framework for assessing practices and consists of indicators and criteria. The purpose of this study was to validate the indicators and simplify the Quality Tool. METHODS: This study involved a systematic comparison of indicators in the Quality Tool with those in other local and international tools to determine common indicators to include as valid in the Quality Tool. A Delphi process was used to help reach consensus for inclusion of any indicators that were not included in the comparison exercise. SETTING: Primary care in Ontario, Canada. SUBJECTS: Key informants were those with known expertise and experience in quality assessment in primary care. MAIN OUTCOME: Validated set of indicators for inclusion in an updated Quality Tool. RESULTS: Twenty-three stakeholders participated in the Delphi panel. Forty-four indicators were included as valid after the systematic comparison of similar indicators in other assessment tools. Of the 63 indicators brought to the Delphi panel, 37 were included as valid, 15 were excluded and 11 became criteria for other included indicators. CONCLUSIONS: The study resulted in a set of 81 validated primary care indicators. The validation of the indicators provided a strong foundation for the next version of the Quality Tool and may be used for quality assessment in primary care.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".