Relevance of assessment items in community paramedicine home visit programmes: results of a modified Delphi study
Bibliographic record
Abstract
OBJECTIVE: Guidelines for a structured assessment in community paramedicine home visit programmes have not been established and evidence to inform their creation is lacking. We sought to investigate the relevance of assessment items to the practice of community paramedics according to a pre-established clarity-utility matrix. DESIGN: We designed a modified-Delphi study consisting of predetermined thresholds for achieving consensus, number of rounds of for scoring items, a defined meeting and discussion process, and a sample of participants that was purposefully representative. SETTING AND PARTICIPANTS: We established a panel of 26 community paramedics representing 20 municipal paramedic services in Ontario, Canada. The sample represented a majority of paramedic services within the province that were operating a community paramedicine home visit programme. MEASURES: Drawing from a bank of standardised assessment items grouped according to domains aligned with the International Classification on Functioning, Disability, and Health taxonomy, 64 previously pilot-tested assessment items were scored according to their clarity (being free from ambiguity and easy to understand) and utility (being valued in care planning or case management activities). Assessment items covered a broad range of health, social and environmental domains. To conclude scoring rounds, assessment items that did not achieve consensus for relevance to assessment practices were discussed among participants with opportunities to modify assessment items for subsequent rounds of scoring. RESULTS: Resulting from the first round of scoring, 54 assessment items were identified as being relevant to assessment practices and 3 assessment items were removed from subsequent rounds. The remaining 7 assessment items were modified, with some parts removed from the final items that achieved consensus in the final rounds of scoring. CONCLUSION: A broadly representative panel of community paramedics identified consensus for 61 assessment items that could be included in a structured, multidomain, assessment instrument for guiding practice in community paramedicine home visit programmes. TRAIL REGISTRATION NUMBER: ISRCTN58273216.
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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 | 0.103 | 0.175 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".