Development and application of Breadth-Depth-Context (BDC), a conceptual framework for measuring technology engagement with a qualified clinical data registry

Author:

Kersey Emma1ORCID,Li Jing1ORCID,Kay Julia1ORCID,Adler-Milstein Julia23ORCID,Yazdany Jinoos12ORCID,Schmajuk Gabriela124ORCID

Affiliation:

1. Department of Medicine, Division of Rheumatology, University of California San Francisco , San Francisco, CA 94143, United States

2. Institute for Health Policy Studies, University of California San Francisco , San Francisco, CA 94158, United States

3. Department of Medicine, Division of Clinical Informatics and Digital Transformation, University of California San Francisco , San Francisco, CA 94143, United States

4. San Francisco Veterans Affairs Medical Center , San Francisco, CA 94121, United States

Abstract

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.

Funder

National Institute of Health

National Institute of Arthritis and Musculoskeletal and Skin Diseases

Publisher

Oxford University Press (OUP)

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