Performance and quality indicators for the management of non-cancer chronic pain: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Chronic pain is a public health problem of epidemic proportion in most countries with important physical, psychological, social and economic consequences. The management of chronic pain is complex and requires an integrated network approach between all levels of the healthcare system and the involvement of several health professionals from different disciplines. Measuring the performance of organisations that provide care to individuals with chronic pain is essential to improve quality of care and requires the use of relevant performance and quality indicators. A scoping review methodology will be used to synthesise the evidence on performance and quality indicators developed for non-cancer chronic pain management across the continuum of care. METHODS AND ANALYSIS: The following electronic databases will be searched from 2000 onwards: Cochrane Effective Practice and Organisation of Care (EPOC) Review Group Specialised Register; Cochrane Library; EMBASE; PubMed; CINAHL; PsycINFO; ProQuest Dissertations and Theses. All types of studies will be included if these are concerned with performance or quality indicators in adults with chronic non-cancer pain. In addition, searches will be conducted on provincial, national and international health organisations as well as health professional and scientific associations' websites. A qualitative descriptive approach will be used to describe characteristics of each indicator. All identified indicators will be classified according to dimensions covered by Donabedian and the Triple Aim frameworks. ETHICS AND DISSEMINATION: The scoping review findings will inform the development of a performance measurement system comprising a list of performance indicators with their level of evidence which can be used by stakeholders to evaluate the quality of care for individuals with chronic non-cancer pain at the patient, institutional and system level. The results will be disseminated via several knowledge translation strategies, including 2 stakeholder meetings, publication and presentation at conferences.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".