Development and validation of the guideline for reporting evidence-based practice educational interventions and teaching (GREET)
Bibliographic record
Abstract
BACKGROUND: The majority of reporting guidelines assist researchers to report consistent information concerning study design, however, they contain limited information for describing study interventions. Using a three-stage development process, the Guideline for Reporting Evidence-based practice Educational interventions and Teaching (GREET) checklist and accompanying explanatory paper were developed to provide guidance for the reporting of educational interventions for evidence-based practice (EBP). The aim of this study was to complete the final development for the GREET checklist, incorporating psychometric testing to determine inter-rater reliability and criterion validity. METHODS: The final development for the GREET checklist incorporated the results of a prior systematic review and Delphi survey. Thirty-nine items, including all items from the prior systematic review, were proposed for inclusion in the GREET checklist. These 39 items were considered over a series of consensus discussions to determine the inclusion of items in the GREET checklist. The GREET checklist and explanatory paper were then developed and underwent psychometric testing with tertiary health professional students who evaluated the completeness of the reporting in a published study using the GREET checklist. For each GREET checklist item, consistency (%) of agreement both between participants and the consensus criterion reference measure were calculated. Criterion validity and inter-rater reliability were analysed using intra-class correlation coefficients (ICC). RESULTS: Three consensus discussions were undertaken, with 14 items identified for inclusion in the GREET checklist. Following further expert review by the Delphi panelists, three items were added and minor wording changes were completed, resulting in 17 checklist items. Psychometric testing for the updated GREET checklist was completed by 31 participants (n = 11 undergraduate, n = 20 postgraduate). The consistency of agreement between the participant ratings for completeness of reporting with the consensus criterion ratings ranged from 19 % for item 4 Steps of EBP, to 94 % for item 16 Planned delivery. The overall consistency of agreement, for criterion validity (ICC 0.73) and inter-rater reliability (ICC 0.96), was good to almost perfect. CONCLUSION: The final GREET checklist comprises 17 items which are recommended for reporting EBP educational interventions. Further validation of the GREET checklist with experts in EBP research and education is recommended.
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 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 | 0.469 | 0.683 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.013 |
| Bibliometrics | 0.026 | 0.017 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.012 | 0.011 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".