Examining fidelity in the INFORM trial: a complex team-based behavioral intervention
Bibliographic record
Abstract
BACKGROUND: Fidelity in complex behavioral interventions is underexplored. This study examines the fidelity of the INFORM trial and explores the relationship between fidelity, study arm, and the trial's primary outcome-care aide involvement in formal team communications about resident care. METHODS: A concurrent process evaluation of implementation fidelity was conducted in 33 nursing homes in Western Canada (Alberta and British Columbia). Study participants were from 106 clinical care units clustered in 33 nursing homes randomized to the Basic and Enhanced-Assisted Feedback arms of the INFORM trial. RESULTS: Fidelity of the INFORM intervention was moderate to high, with fidelity delivery and receipt higher than fidelity enactment for both study arms. Higher enactment teams experienced a significantly larger improvement in formal team communications between baseline and follow-up than lower enactment teams (F(1, 70) = 4.27, p = .042). CONCLUSIONS: Overall fidelity enactment was associated with improvements in formal team communications, but the study arm was not. This suggests that the intensity with which an intervention is offered and delivered may be less important than the intensity with which intervention participants enact the core components of an intervention. Greater attention to fidelity assessment and publication of fidelity results through studies such as this one is critical to improving the utility of published trials.
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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 | 0.244 | 0.326 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".