Holiday Discharges Are Associated with Higher 30-Day General Internal Medicine Hospital Readmissions at an Academic Medical Center.


Journal

Southern medical journal
ISSN: 1541-8243
Titre abrégé: South Med J
Pays: United States
ID NLM: 0404522

Informations de publication

Date de publication:
06 2019
Historique:
entrez: 4 6 2019
pubmed: 4 6 2019
medline: 18 12 2019
Statut: ppublish

Résumé

Academic medical centers face unique challenges in educating physician trainees in effective discharge practices to prevent readmissions. Meanwhile, residents must handle high workloads coupled with frequent rotations to different services. This study aimed to determine whether daily service census, service turnover, time of discharge, and day of discharge increase the risk of 30-day readmission. All of the discharges from two academic general internal medicine teaching services between October 1, 2013 and September 30, 2014 were included in this observational data analysis. Variables were fit to a 30-day, all-cause readmission outcome using multiple logistic regression with inverse probability of treatment weighting and multiple imputations with chained equations. The following potential confounding variables were included in the model: health system utilization, demographics, laboratory values, and comorbidities. Among 1935 total discharges, 258 patients (13.3%) were readmitted within 30 days of the index discharge. Turnover, service census, weekend discharge, and time of discharge were not significantly associated with the risk of readmission. Patients discharged during holiday periods had higher odds of readmission (odds ratio 2.56, 95% confidence interval 2.01-3.25), whereas patients discharged on an intern switch day had lower odds of readmission (odds ratio 0.33, 95% confidence interval 0.27-0.41). Patients who are discharged during holiday periods are at a higher risk of readmission after adjusting for potential confounders. These results also suggest that discharge on an intern switch day had a protective effect on readmission. Further work is needed to examine whether these findings can be replicated, and, if confirmed, to determine to what extent these associations are causal.

Identifiants

pubmed: 31158889
doi: 10.14423/SMJ.0000000000000989
pii: SMJ50716
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

338-343

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001420
Pays : United States

Auteurs

Ajay Dharod (A)

From the Department of Internal Medicine, Section on General Internal Medicine, the Department of Biostatistics and Data Science, and the Department of Internal Medicine, Internal Medicine Residency and Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, the Department of Internal Medicine, Section on Infectious Diseases, University of Alabama, Birmingham, and the Department of Internal Medicine, Division of Cardiovascular Medicine, Ohio State University College of Medicine, Columbus.

Brian J Wells (BJ)

From the Department of Internal Medicine, Section on General Internal Medicine, the Department of Biostatistics and Data Science, and the Department of Internal Medicine, Internal Medicine Residency and Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, the Department of Internal Medicine, Section on Infectious Diseases, University of Alabama, Birmingham, and the Department of Internal Medicine, Division of Cardiovascular Medicine, Ohio State University College of Medicine, Columbus.

Kristin Lenoir (K)

From the Department of Internal Medicine, Section on General Internal Medicine, the Department of Biostatistics and Data Science, and the Department of Internal Medicine, Internal Medicine Residency and Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, the Department of Internal Medicine, Section on Infectious Diseases, University of Alabama, Birmingham, and the Department of Internal Medicine, Division of Cardiovascular Medicine, Ohio State University College of Medicine, Columbus.

Wesley G Willeford (WG)

From the Department of Internal Medicine, Section on General Internal Medicine, the Department of Biostatistics and Data Science, and the Department of Internal Medicine, Internal Medicine Residency and Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, the Department of Internal Medicine, Section on Infectious Diseases, University of Alabama, Birmingham, and the Department of Internal Medicine, Division of Cardiovascular Medicine, Ohio State University College of Medicine, Columbus.

Michael W Milks (MW)

From the Department of Internal Medicine, Section on General Internal Medicine, the Department of Biostatistics and Data Science, and the Department of Internal Medicine, Internal Medicine Residency and Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, the Department of Internal Medicine, Section on Infectious Diseases, University of Alabama, Birmingham, and the Department of Internal Medicine, Division of Cardiovascular Medicine, Ohio State University College of Medicine, Columbus.

Hal H Atkinson (HH)

From the Department of Internal Medicine, Section on General Internal Medicine, the Department of Biostatistics and Data Science, and the Department of Internal Medicine, Internal Medicine Residency and Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, the Department of Internal Medicine, Section on Infectious Diseases, University of Alabama, Birmingham, and the Department of Internal Medicine, Division of Cardiovascular Medicine, Ohio State University College of Medicine, Columbus.

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