A Scoping Review of Appropriateness of Care Research Activity in Canada from a Health System-Level Perspective
Bibliographic record
Abstract
INTRODUCTION: Jurisdictions are increasingly focusing on appropriate use of healthcare services and interventions as a means to improve health system performance. Our objectives were to conduct a scoping review to (a) map Canadian research and related activity on system-level appropriateness of care and (b) create a resource database that could be used to inform evidence-based decision-making and future research priorities in this area. METHODS: We searched Medline, EMBASE and CINAHL databases between 2003-2013 using terms including "appropriate," "inappropriate," "health technology assessment" and "cost-effectiveness." Articles were included if they were Canadian-based and relevant to our definition. The database search was complemented by a website search of relevant Canadian organizations. RESULTS: 4,979 articles were identified through the literature search, and 103 articles relevant to system-level appropriateness of care across Canada were charted. Of these, 64 contained an evaluation of appropriateness, 30 used a method of cost-effectiveness or total cost impact analysis and 9 involved another methodology. The most common health service categories included drug therapy (n=40) and health service utilization (n=33). Fifty-eight websites were summarized containing material relevant to system-level appropriateness of care. CONCLUSION: Our review identifies Canadian research and related activity pertaining to appropriateness of healthcare from a system-level perspective and provides a useful resource both to support evidence-based decision-making and to guide future appropriateness research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.027 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".