Quality indicator framework for primary care of patients with dementia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To develop a framework of population-based primary care quality indicators adapted to patients with dementia and to identify a subset of stakeholder-driven priority indicators. DESIGN: Framework development was carried out through the selection of an initial framework based on a rapid review and identification of relevant indicators and enrichment based on existing dementia indicators and guidelines. Prioritization of indicators was carried out through a stakeholder survey. SETTING: Ontario, Quebec, New Brunswick, and Saskatchewan. PARTICIPANTS: Stakeholders in community dementia care (N=109) including clinicians, patients, caregivers, decision makers, and managers. MAIN OUTCOME MEASURES: Primary care quality indicators. RESULTS: The framework comprised 34 indicators across 8 domains of quality (access, integration, effective care, efficient care, equity, safety, population health, and patient-centred care). Access to a regular primary care provider, continuity of care, early-stage diagnosis, and access to home care were consistently rated as priorities. Equitable care was a specific priority among patients and caregivers; clinicians reported avoidable hospitalizations as among their priorities. CONCLUSION: A framework of indicators was established for persons with dementia that adds an important dimension to existing primary care and dementia quality indicators by providing primary care and population-based perspectives. This framework could set a foundation for the ongoing monitoring of primary care practices and policies for persons with dementia at a population level.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it