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Development and application of Breadth-Depth-Context (BDC), a conceptual framework for measuring technology engagement with a qualified clinical data registry.
Kersey, Emma; Li, Jing; Kay, Julia; Adler-Milstein, Julia; Yazdany, Jinoos; Schmajuk, Gabriela.
Afiliación
  • Kersey E; Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, CA 94143, United States.
  • Li J; Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, CA 94143, United States.
  • Kay J; Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, CA 94143, United States.
  • Adler-Milstein J; Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA 94158, United States.
  • Yazdany J; Department of Medicine, Division of Clinical Informatics and Digital Transformation, University of California San Francisco, San Francisco, CA 94143, United States.
  • Schmajuk G; Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, CA 94143, United States.
JAMIA Open ; 7(3): ooae061, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39070967
ABSTRACT

Objectives:

Despite the proliferation of dashboards that display performance data derived from Qualified Clinical Data Registries (QCDR), the degree to which clinicians and practices engage with such dashboards has not been well described. We aimed to develop a conceptual framework for assessing user engagement with dashboard technology and to demonstrate its application to a rheumatology QCDR. Materials and

Methods:

We developed the BDC (Breadth-Depth-Context) framework, which included concepts of breadth (derived from dashboard sessions), depth (derived from dashboard actions), and context (derived from practice characteristics). We demonstrated its application via user log data from the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) registry to define engagement profiles and characterize practice-level factors associated with different profiles.

Results:

We applied the BDC framework to 213 ambulatory practices from the RISE registry in 2020-2021, and classified practices into 4 engagement profiles not engaged (8%), minimally engaged (39%), moderately engaged (34%), and most engaged (19%). Practices with more patients and with specific electronic health record vendors (eClinicalWorks and eMDs) had a higher likelihood of being in the most engaged group, even after adjusting for other factors.

Discussion:

We developed the BDC framework to characterize user engagement with a registry dashboard and demonstrated its use in a specialty QCDR. The application of the BDC framework revealed a wide range of breadth and depth of use and that specific contextual factors were associated with nature of engagement.

Conclusion:

Going forward, the BDC framework can be used to study engagement with similar dashboards.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JAMIA Open Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JAMIA Open Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos