OECD Patient-Reported Indicators Survey (PaRIS) in Canada: Results From the National Study
Bibliographic record
Abstract
Context: The PaRIS-Survey, developed by the Organization for Economic Co-operation and Development (OECD) countries, provides international standards for reporting on health system performance. While collecting patient-reported experiences and outcomes is increasingly integrated into acute care, the PaRIS-Survey is the first primary care practice-based survey across multiple OECD countries. Objective: Our objective is to compare health outcomes and experiences of patients with chronic conditions cared for in primary care settings. Study Design and Analysis: Cross-sectional study design. We conducted descriptive and inferential statistics. Setting or Dataset: Canadian primary care practices in 10 provinces. Population Studied: Patients aged 45 years or older with at least one registered contact in the six months before study implementation. Primary care practices were the setting where patients were recruited. Intervention/Instrument: A practice and patient survey were developed based on the PaRIS-Organization for Economic Co-Operation and Development (OECD) survey’s framework and standardized across 22 participating OECD countries. Providers completed the 34-item practice survey. The patient questionnaire (121 items) was organized around four domains related to health and experiences of primary care services and sociodemographic characteristics. Outcome Measures: Patient-reported experiences and outcomes and practice characteristics. Results: Across 8 provinces, more than 65 practices and 4630 patients participated. Seven out of 10 patients report they were not as involved as they wanted to be in decisions about their care; 69% reported they were not considered a “whole person” but just a disease. About 14% of patients reported Poor or Fair mental health, with an increase to 18% regarding physical health. One-third reported that pain interferes with their day-to-day activities. Conclusions: The PaRIS-survey provides the only standardized primary care practice and patient-reported experience and outcome measures administered across Canada. These measures enable patients’ voices on outcomes and experiences of primary care that matter most. Understanding patient reported experiences and outcomes on a regular basis can be used to enable improved operational abilities meant to better meet the needs of patients accessing primary care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".