Unknown

Dataset Information

Predictors of Financial Distress Among Private U.S. Hospitals.


ABSTRACT:

Background

Hospitals are closing after poor financial performance leaving many patients without access to medical care. Identifying the factors associated with financial distress offers hospitals avenues for potential intervention to avoid bankruptcy and closure.

Materials and methods

We performed a retrospective analysis of private U.S. hospitals' financial information from 2011 to 2018. A mixed effects logistic regression model was used with the primary outcome of hospital financial distress (based on the Altman Z-score).

Results

Our sample included 2,720 private hospitals contributing a total of 20,022 hospital-year observations. The proportion of hospitals experiencing financial distress each year ranged from 22.0% to 24.3%. For-profit status was associated with a

SUBMITTER: Enumah SJ 

PROVIDER: S-EPMC8678151 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature