Unmet social needs and diverticulitis: a phenotyping algorithm and cross-sectional analysis
Using a validated phenotyping algorithm for diverticular disease severity, unmet social needs were found to be associated with greater severity of diverticulitis presentation.
Authors
- Xinnan Niu
- Jamie R. Robinson (ORCID: https://orcid.org/0000-0003-0888-0156)
- Jessica Sims
- Samuel A Younan (ORCID: https://orcid.org/0009-0008-5818-585X)
- Richard M. Peek (ORCID: https://orcid.org/0000-0002-4836-5960)
- Parker T. Evans
- Megan Shroder (ORCID: https://orcid.org/0000-0002-6356-6170)
- Lisa Bastarache (ORCID: https://orcid.org/0000-0003-3020-447X)
- Thomas E. Ueland (ORCID: https://orcid.org/0000-0001-6618-9318)
- Alexander T Hawkins
Institutions
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1093/jamia/ocae238
- Citations
- 2
- Primary Topic
- Diverticular Disease and Complications
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Center for Advancing Translational Sciences