Audit and group feedback in nursing home physician groups: lessons learned from a qualitative study
Bibliographic record
Abstract
BACKGROUND: Audit and group feedback (A&F) is an instrument used to encourage healthcare professionals to improve the quality of care. Clinical practice was audited against a set of criteria and fed back to a group by a facilitator. The aim of this study was to gain a better understanding of how physician group feedback sessions in nursing homes were conducted and to what extent they resulted in action planning. METHODS: Fifteen group feedback sessions of the antibiotic A&F program within a nursing home network were audio-recorded, transcribed, and analyzed via the Framework Method for thematic analysis. The coding was performed using the existing Calgary A&F Framework and Cooke's conceptual model of physician behaviors, and open inductive codes were added. RESULTS: Elements of the conceptual model and the Calgary A&F Framework occurred within all group feedback sessions. The relationships within the group and with the facilitators were important elements when moving a group from interpreting the results to formulating action plans. Physician groups responded positively to the audit data, particularly if they were among the best performing. The data were met with doubt by physicians who did not recognize their own practice. When exploring potential reasons for lower guideline adherence, groups often considered data quality or external factors such as the choice of non-adherent treatment by locum staff. The degree of reflection on personal factors as explanations for low adherence and the extent to which groups identified learning and improvement opportunities varied: some groups were able to formulate action plans to address data problems and knowledge gaps, whereas others scheduled a follow-up meeting to develop action plans for treatment or prescribing practice changes. CONCLUSIONS: The facilitator was crucial in supporting the group in interpreting the results, steering the conversation towards sharing change cues, and helping the physician group in developing action plans. The degree of reflection and action planning varied by group. By implementing the lessons learned from this study, group feedback sessions can be refined, supporting participants in action planning.
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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 | 0.082 | 0.109 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".