From: Reporting feedback on healthcare outcomes to improve quality in care: a scoping review
Key Components | Quantitative Studies | Qualitative Studies | Interpretations |
---|---|---|---|
Feedback Delivery | |||
CP-FIT best practices to report feedback | |||
 • Timely Feedback | Studies testing timely feedback ranging from weekly to monthly reports reported positive improvements compared to feedback reported less frequently | Delays between patient reviews and engagement hindered ownership and monitoring | Feedback delivered on timely and frequent intervals keep HCPs engaged and take ownership of quality improvement interventions |
 • Feedback specific to HCPs’ care delivery |  | Group feedback caused ambiguity about individual vs. team performance | Individualized feedback is clearer and more actionable |
 • Peer Comparisons |  | Peer comparisons prompted reflection, but lack of peer discussion reduced guidance | Peer comparisons are usually included with feedback data and facilitate comprehension. Group-facilitated discussion further enhance impact of feedback |
 • Feedback with user-friendly designs |  | Clear formats (e.g., dashboards, Venn diagrams) enhanced usability; overly complex designs hindered interpretation. valuable insights into personal practice variations | Feedback should use simple charts and graphs, with concise text to complement more complex visualizations |
Types of Quality Indicators | |||
 • Process Measures | 85% studies reported improvements in clinical procedures and assessments, prescribing behaviours) |  | Process indicators tied to clinician actions drive better outcomes |
 • Outcome Measures/ and process measures | 68% studies showed improvements, particularly in clinician-reported outcomes |  | Combining process and outcome measures enhances impact and relevance over using outcome measures alone |
 • Data characteristics |  | Meaningful data tied to HCP control improved feedback acceptance Data Security: Public sharing without improvement time was seen as punitive; secure email delivery was preferred Data Validity: Concerns over coding accuracy and validity reduced trust Patient Background: Missing baseline patient information hindered interpretation | Relevant, valid, and contextual data, delivered securely and confidentially, enhances feedback trust, acceptance, and clarity |
Types of Co-interventions applied with feedback intervention | Facilitative approaches (e.g., education, reminders, post-feedback consultations) improved outcomes Coercive approaches: Structural modifications e.g., action toolboxes, supported practice changes; coercive methods (e.g., financial incentives) were less effective | Structural changes and evidence-based practice support were well-received, with training by feedback champions or peers valued | Facilitative approaches and structural supports are preferred; coercive methods such as financial incentives have less impact |
Other factors influencing feedback intervention | Â | Perceived accountability enhanced engagement with feedback Limited knowledge and skills for interpreting data impeded interaction with data and performance External factors, such as patient demands for specific drugs or services, influenced HCP decision-making, while involvement of insurers and other stakeholders with conflicting objectives discouraged acceptance of feedback | To enhance feedback engagement, emphasize strategies that promote accountability, provide targeted training to improve data interpretation skills, and address external influences by aligning stakeholder goals and managing patient expectations effectively |