Taking an integrated knowledge translation approach in research to develop the CONSORT-Equity 2017 reporting guideline: an observational study
Bibliographic record
Abstract
OBJECTIVE: We describe the use of an integrated knowledge translation (KT) approach in the development of the CONsolidated Standards Of Reporting Trials extension for equity ('CONSORT-Equity 2017'), and advisory board-research team members' ('the team') perceptions of the integrated KT process. DESIGN: This is an observational study to describe team processes and experience with a structured integrated KT approach to develop CONSORT-Equity 2017. Participant observation to describe team processes and a survey were used with the 38 team members. SETTING: Use of the CONSORT health research reporting guideline contributes to an evidence base for health systems decision-making, and CONSORT-Equity 2017 may improve reporting about health equity-relevant evidence. An integrated KT research approach engages knowledge users (those for whom the research is meant to be useful) with researchers to co-develop research evidence and is more likely to produce findings that are applied in practice or policy. PARTICIPANTS: Researchers adopted an integrated KT approach and invited knowledge users to form a team. RESULTS: An integrated KT approach was used in the development of CONSORT-Equity 2017 and structured replicable steps. The process for co-developing the reporting guideline involved two stages: (1) establishing guiding features for co-development and (2) research actions that supported the co-development of the reporting guideline. Stage 1 consisted of four steps: finding common ground, forming an advisory board, committing to ethical guidance and clarifying theoretical research assumptions. Bound by the stage 1 guiding features of an integrated KT approach, stage 2 consisted of five steps during which studies for consensus-based reporting guidelines were conducted. Of 38 team members, 25 (67.5%) completed a survey about their perceptions of the integrated KT approach. CONCLUSIONS: An integrated KT approach can be used to engage a team to co-develop reporting guidelines. Further study is needed to understand the use of an integrated KT approach in the development of reporting guidelines.
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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 | 0.131 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".