Scalable Coaching and Appreciation Feedback for Optimal Learning and Decision-Making (SCAFFOLD).

Clinical performance feedback is one of the most effective quality improvement strategies, but evidence about its effectiveness is highly variable. A key barrier to improving the effect of feedback is a lack of engagement by healthcare professionals. We developed Scalable Coaching and Appreciation F...

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Publicado en:Studies in Health Technology & Informatics Vol. 329; pp. 431 - 436
Autores principales: LANDIS-LEWIS, Zach, BOISVERT, Peter, SEIFI, Farid, RENJI, Anjana Deep, Yidan CAO, Hana CHUNG, JANDA, Allison, SHAH, Nirav, FLYNN, Allen
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2025
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      pub: Sage Publications Inc.
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        atl: Scalable Coaching and Appreciation Feedback for Optimal Learning and Decision-Making (SCAFFOLD).
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        au:
          LANDIS-LEWIS, Zach
          BOISVERT, Peter
          SEIFI, Farid
          RENJI, Anjana Deep
          Yidan CAO
          Hana CHUNG
          JANDA, Allison
          SHAH, Nirav
          FLYNN, Allen
        affil: Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA
      sug:
        subj:
          Mentorship
          Precision
          Feedback
          Computer Systems
          Learning
          Decision Making
          Health Personnel
      ab: Clinical performance feedback is one of the most effective quality improvement strategies, but evidence about its effectiveness is highly variable. A key barrier to improving the effect of feedback is a lack of engagement by healthcare professionals. We developed Scalable Coaching and Appreciation Feedback For Optimal Learning and Decision-making (SCAFFOLD), a precision feedback system, that enhances performance feedback reports and dashboards to improve provider engagement and feedback effectiveness. We introduce SCAFFOLD and its key functions for generating messages with high motivational potential, and report on its function over a six-month period in a national-scale perioperative quality improvement consortium. The system was used to generate 21,776 messages for 4,550 anesthesia providers, producing 20,391 (94%) coaching messages and 1,385 (6%) appreciation messages. SCAFFOLD appears to demonstrate a feasible approach for large-scale generation of coaching and appreciation feedback messages that enhance feedback emails, reports, and dashboards.
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        research
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      ougenre: Article
    language: English
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