Combining administrative data feedback, reflection and action planning to engage primary care professionals in quality improvement: qualitative assessment of short term program outcomes
Bibliographic record
Abstract
BACKGROUND: Improving primary care for chronic disease management requires a coherent, integrated approach to quality improvement. Evidence in the continuing professional development (CPD) field suggests the importance of using strategies such as feedback delivery, reflective practice and action planning to facilitate recognition of gaps and service improvement needs. Our study explored the outcomes of a CPD intervention, named the COMPAS Project, which consists of a three-hour workshop composed of three main activities: feedback, critical reflection and action planning. The feedback intervention is delivered face-to-face and presents performance indicators extracted from clinical-administrative databases. This aim of this study was to assess the short term outcomes of this intervention to engage primary care professional in continuous quality improvement (QI). METHODS: In order to develop an understanding of our intervention and of its short term outcomes, a program evaluation approach was used. Ten COMPAS workshops on diabetes management were directly observed and qualitative data was collected to assess the intervention short term outcomes. Data from both sources were combined to describe the characteristics of action plans developed by professionals. Two independent coders analysed the content of these plans to assess if they promoted engagement in QI and interprofessional collaboration. RESULTS: During the ten workshops held, 26 interprofessional work teams were formed. Twenty-two of them developed a QI project they could implement themselves and that targeted aspects of their own practice they perceived in need of change. Most frequently prioritized strategies for change were improvement of systematic clientele follow-up, medication compliance, care pathway and support to improve adoption of healthier life habits. Twenty-one out of 22 action plans were found to target some level of improvement of interprofessional collaboration in primary care. DISCUSSION: Our study results demonstrate that the COMPAS intervention enabled professionals to target priorities for practice improvements and to develop action plans that promote interprofessional collaboration. The COMPAS intervention aims to increase capability for continuous QI, readiness to implement process of care changes and team shared goals but available resources, climate and culture for change and leadership, are also important required conditions to successfully implement these practice changes. CONCLUSION: We think that the proposed approach can be very useful to support and engage primary care professionals in the planning stage of quality improvement projects since it combines key successful ingredients: feedback, reflection and planning of action.
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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 | 0.042 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".