Protocol for a Delphi consensus exercise to identify a core set of criteria for selecting health related outcome measures (HROM) to be used in primary health care
Bibliographic record
Abstract
BACKGROUND: Promoting the collection and use of health related outcome measures (HROM) in daily practice has long been a goal for improving and assessing the effectiveness of care provided to patients. However, there has been a lack of consensus on what criteria to use to select outcomes or instruments, particularly in the context of primary health care settings where patients present with multiple concurrent health conditions and interventions are whole-health and person-focused. The purpose of this proposed study is to undertake a formal consensus exercise to establish criteria for selecting HROM (including patient-reported (PRO or PROM), observer-reported (ObsR)), clinician-reported (ClinRO) and performance related outcomes (PerfO) for use in shared decision-making, or in assessing, screening or monitoring health status in primary health care settings. METHODS: A Delphi consensus online survey will be developed. Criteria for the Delphi panel participants to consider were selected from a targeted literature search. These initial criteria (n = 35) were grouped into four categories within which items will be presented in the Delphi survey, with the option to suggest additional items. Panel members invited to participate will include primary health care practitioners and administrators, policy-makers, researchers, and experts in HROM development; patients will be excluded. Standard Delphi methodology will be employed with an expectation of at least 3 rounds to achieve consensus (75% agreement). As the final list of criteria for selecting HROM emerges, panel members will be asked to provide opinions about potential weighting of items. The Delphi survey was approved by the Ethics Committee in the Faculty of Health Sciences at McMaster University. DISCUSSION: Previous literature establishing criteria for selecting HROM were developed with a focus on patient reported outcomes, psychological/ behavioural outcomes or outcomes for minimum core outcome sets in clinical trials. Although helpful, these criteria may not be applicable and feasible for application in a primary health care context where patients with multi-morbidity and complex interventions are typical and the constraints of providing health services differ from those in research studies. The findings from this Delphi consensus study will address a gap for establishing consensus on criteria for selecting HROM for use across primary health care settings.
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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 | 0.142 | 0.114 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.103 | 0.027 |
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".