Predictive Factors of Inactive Patient Participation in an Inflammatory Bowel Disease Learning Health System: A Longitudinal Cohort Study

Author:

Dang Nhu1ORCID,Kumar Soryan1,Kwon Michelle1,Cradeur Michael1,Zeven Katherine1,Khunte Mihir1,Marino Daniel2,Tse Chung Sang3ORCID,van Deen Welmoed K4,Lee Adrian5,Kamp Kendra6ORCID,Oberai Ridhima7,Melmed Gil Y8,Siegel Corey A9,Weaver S Alandra7,Shah Samir A110

Affiliation:

1. Department of Medicine, Warren Alpert Medical School, Brown University , Providence, RI , USA

2. Department of Gastroenterology, NYU Langone Health , New York, NY , USA

3. Department of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania , Philadelphia, PA , USA

4. Erasmus School of Health Policy and Management , Rotterdam , the Netherlands

5. Brown University , Providence, RI , USA

6. Department of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington , Seattle, WA , USA

7. IBD Qorus, Crohn’s and Colitis Foundation , New York, NY , USA

8. Department of Gastroenterology, Cedars-Sinai Medical Center , Los Angeles, CA , USA

9. Department of Gastroenterology, Dartmouth–Hitchcock Medical Center , Lebanon, NH , USA

10. Gastroenterology Associates , Providence, RI , USA

Abstract

Lay Summary Patient participation is crucial to learning health systems that leverage patient data to improve care practices. Age, history of anxiety or depression, and frequency of clinic visits were associated with inactive participation in an inflammatory bowel disease learning health system.

Funder

Crohn’s and Colitis Foundation

Publisher

Oxford University Press (OUP)

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