An international cross-sectional survey on the Quality and Costs of Primary Care (QUALICO-PC): recruitment and data collection of places delivering primary care across Canada
Bibliographic record
Abstract
BACKGROUND: Performance reporting in primary health care in Canada is challenging because of the dearth of concise and synthesized information. The paucity of information occurs, in part, because the majority of primary health care in Canada is delivered through a multitude of privately owned small businesses with no mechanism or incentives to provide information about their performance. The purpose of this paper is to report the methods used to recruit family physicians and their patients across 10 provinces to provide self-reported information about primary care and how this information could be used in recruitment and data collection for future large scale pan-Canadian and other cross-country studies. METHODS: Canada participated in an international large scale study-the QUALICO-PC (Quality and Costs of Primary Care) study. A set of four surveys, designed to collect in-depth information regarding primary care activities was collected from: practices, providers, and patients (experiences and values). Invitations (telephone, electronic or mailed) were sent to family physicians. Eligible participants were sent a package of surveys. Provincial teams kept records on the number of: invitation emails/letters sent, physicians who registered, practices that were sent surveys, and practices returning completed surveys. Response and cooperation rates were calculated. RESULTS: Invitations to participate were sent to approximately 23,000 family physicians across Canada. A total of 792 physicians and 8,332 patients from 772 primary care practices completed the surveys, including 1,160 participants completing a Patient Values survey and 7,172 participants completing a Patient Experience survey. Overall, the response rate was very low ranging from 2% (British Columbia) to 21% (Nova Scotia). However, the participation rate was high, ranging from 72% (Ontario) to 100% (New Brunswick/Prince Edward Island and Newfoundland & Labrador). CONCLUSIONS: The difficulties obtaining acceptable response rates by family physicians for survey participation is a universal challenge. This response rate for the QUALICO-PC arm in Canada was similar to rates found in other countries such as Australia and New Zealand. Even though most family physicians operate as self-employed small businesses, they could be supported to routinely submit data through a collective effort and provincial mandate. The groundwork in setting up pan-Canadian collaboration in primary care has been established through this study.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".