The Association of Race, Ethnicity, and Insurance Status With Outcomes in Hospitalized Patients With Ulcerative Colitis.

Disparities Health Equity Health Outcomes Race

Journal

Gastro hep advances
ISSN: 2772-5723
Titre abrégé: Gastro Hep Adv
Pays: Netherlands
ID NLM: 9918350485906676

Informations de publication

Date de publication:
2022
Historique:
received: 10 05 2022
accepted: 19 07 2022
medline: 31 7 2022
pubmed: 31 7 2022
entrez: 12 8 2024
Statut: epublish

Résumé

The impact of sociodemographic factors on outcomes in patients with ulcerative colitis (UC) is not well studied. We characterized the association of race/ethnicity and insurance status with procedures, length of stay (LOS), mortality, and cost of care in a cohort of hospitalized patients with UC. Data from the National Inpatient Sample from 2016 to 2018 were used. Outcomes were analyzed using generalized estimating equations. All models included age, sex, income quartile, hospital diagnosis, hospital characteristics, and Elixhauser Comorbidity Index as well as the primary predictors. A total of 34,814 patients were included. Black (adjusted odds ratio [aOR] 0.46, 95% confidence interval [0.39-0.55]) or Hispanic (aOR 0.74, [0.64-0.86]) patients had lower odds of colectomy than White patients. Patients with Medicare (aOR 0.54, [0.48-0.62), Medicaid (aOR 0.51, [0.45-0.58]), or no insurance (aOR 0.42, [0.35-0.50]) had lower odds of colectomy than privately insured patients. Black patients had higher mortality than White patients (aOR 1.38, [1.07-1.78]). Patients with Medicare or Medicaid had 5% ([1.01-1.09]) and 9% longer LOS ([1.05-1.13]), respectively, than privately insured patients, while uninsured patients had a 6% shorter LOS ([0.90-0.97]). Hispanic or Asian/Native American patients had 11% ([1.06-1.15]) and 13% ([1.07-1.20]) higher costs, respectively, than White patients. Uninsured patients had 11% lower hospitalization costs than privately insured patients ([0.85-0.94]). Hospitalized patients with UC differed significantly in rates of colectomy, mortality, LOS, and costs based on race/ethnicity and insurance status. Further research is needed to understand the cause of these differences and develop targeted solutions to reduce these inequities.

Sections du résumé

Background and Aims UNASSIGNED
The impact of sociodemographic factors on outcomes in patients with ulcerative colitis (UC) is not well studied. We characterized the association of race/ethnicity and insurance status with procedures, length of stay (LOS), mortality, and cost of care in a cohort of hospitalized patients with UC.
Methods UNASSIGNED
Data from the National Inpatient Sample from 2016 to 2018 were used. Outcomes were analyzed using generalized estimating equations. All models included age, sex, income quartile, hospital diagnosis, hospital characteristics, and Elixhauser Comorbidity Index as well as the primary predictors.
Results UNASSIGNED
A total of 34,814 patients were included. Black (adjusted odds ratio [aOR] 0.46, 95% confidence interval [0.39-0.55]) or Hispanic (aOR 0.74, [0.64-0.86]) patients had lower odds of colectomy than White patients. Patients with Medicare (aOR 0.54, [0.48-0.62), Medicaid (aOR 0.51, [0.45-0.58]), or no insurance (aOR 0.42, [0.35-0.50]) had lower odds of colectomy than privately insured patients. Black patients had higher mortality than White patients (aOR 1.38, [1.07-1.78]). Patients with Medicare or Medicaid had 5% ([1.01-1.09]) and 9% longer LOS ([1.05-1.13]), respectively, than privately insured patients, while uninsured patients had a 6% shorter LOS ([0.90-0.97]). Hispanic or Asian/Native American patients had 11% ([1.06-1.15]) and 13% ([1.07-1.20]) higher costs, respectively, than White patients. Uninsured patients had 11% lower hospitalization costs than privately insured patients ([0.85-0.94]).
Conclusion UNASSIGNED
Hospitalized patients with UC differed significantly in rates of colectomy, mortality, LOS, and costs based on race/ethnicity and insurance status. Further research is needed to understand the cause of these differences and develop targeted solutions to reduce these inequities.

Identifiants

pubmed: 39131255
doi: 10.1016/j.gastha.2022.07.016
pii: S2772-5723(22)00131-5
pmc: PMC11307435
doi:

Types de publication

Journal Article

Langues

eng

Pagination

985-992

Informations de copyright

© 2022 The Authors.

Auteurs

Janki P Luther (JP)

Division of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.

Cassandra D L Fritz (CDL)

Division of Gastroenterology, Washington University School of Medicine, St. Louis, Missouri.

Erika Fanous (E)

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri.

R J Waken (RJ)

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri.

J Gmerice Hammond (JG)

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri.

Karen E Joynt Maddox (KE)

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri.
Center for Health Economics and Policy, Institute for Public Health at Washington University, St. Louis, Missouri.

Classifications MeSH