Measured and perceived effects of audit and feedback on nursing performance: a mixed methods systematic review protocol
Bibliographic record
Abstract
BACKGROUND: The use of audit and feedback (A&F) interventions in health care has been demonstrated to generally be effective on medical teams. However, literature suggests that the response of nurses to this type of intervention may differ from that of other types of health professionals, in relation to their roles, power, and to the configuration of nursing care activities. To our knowledge, no review has been conducted on A&F interventions with nurses. The objective of this systematic review is to examine the evidence of measured and perceived effects of A&F interventions on nurses' performance. METHODS: A mixed methods systematic review design with thematic and narrative synthesis is used. Studies reporting quantitative and qualitative data on the effects of A&F interventions specific to nursing care are considered for inclusion. Studies will be appraised for quality using the Mixed Methods Appraisal Tool. Quantitative and qualitative data will be summarized in narrative and tabular form and will be synthetized using a segregated methodologies approach. DISCUSSION: Results will describe the characteristics of A&F with nurses, as well as the measured and perceived effects specific to nursing care. The associations between the characteristics and the effects as well as the concordance between measured and perceived effects will be presented. We anticipate that combining the evidence from qualitative and quantitative studies will allow us to provide relevant insight that can inform the design of better suited A&F interventions for nurses. Audit and feedback interventions demonstrate potential for improving the performance of nursing care. As their effectiveness varies greatly depending on the context and the professionals involved, a better understanding of the associations between its characteristics and the measured and perceived effects is valuable for improving the effectiveness of A&F. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018104973.
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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 | 0.158 | 0.139 |
| Meta-epidemiology (narrow) | 0.007 | 0.008 |
| Meta-epidemiology (broad) | 0.018 | 0.019 |
| Bibliometrics | 0.020 | 0.016 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.059 | 0.011 |
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".