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Related Experiment Video

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Unmet social needs and diverticulitis: a phenotyping algorithm and cross-sectional analysis.

Thomas E Ueland1, Samuel A Younan2, Parker T Evans3,4

  • 1Vanderbilt University School of Medicine, Nashville, TN 37232, United States.

Journal of the American Medical Informatics Association : JAMIA
|March 14, 2025
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A validated algorithm accurately identifies diverticular disease severity. Unmet social needs, such as food insecurity, are linked to more severe diverticulitis cases, suggesting a need for targeted clinical interventions.

Keywords:
diverticular diseasephenotyping algorithmsocial determinants of health

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Area of Science:

  • Medical informatics
  • Public health
  • Gastroenterology

Background:

  • Diverticular disease severity varies significantly.
  • Social determinants of health can impact disease presentation and outcomes.
  • Accurate phenotyping is crucial for understanding disease burden.

Purpose of the Study:

  • To validate a phenotyping algorithm for classifying diverticular disease severity.
  • To investigate the association between unmet social needs and diverticular disease severity.

Main Methods:

  • Developed and validated a phenotyping algorithm for diverticulosis, mild diverticulitis, and severe/recurrent diverticulitis.
  • Applied the algorithm to a cohort from the All of Us Research Program.
  • Analyzed the distribution of social barriers (food insecurity, housing instability, care access) across deprivation levels.
  • Used logistic regression to assess the association between social needs and disease severity.

Main Results:

  • The phenotyping algorithm demonstrated high accuracy with positive predictive values from 0.87 to 0.97 and negative predictive values from 0.97 to 0.99.
  • Unmet social needs showed variable distribution across deprivation quintiles.
  • An association was found between unmet social needs and increased odds of operative or recurrent inpatient diverticulitis (OR 1.61 [95% CI 1.19-2.17]) compared to diverticulosis.

Conclusions:

  • A validated phenotyping algorithm effectively categorizes diverticular disease severity.
  • Unmet social needs are significantly associated with more severe presentations of diverticulitis.
  • Understanding social barriers within disease-specific cohorts can guide targeted clinical interventions.