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1.
Hosp Top ; 96(2): 54-60, 2018.
Article in English | MEDLINE | ID: mdl-29781771

ABSTRACT

Teaching hospitals are large and complex, and under constant financial pressure. In this study, we examine the financial performance of 80 large teaching hospitals in the 20 largest cities in the U.S. over the last five years, to identify which strategic and operational management factors separate high-performing hospitals from lower-performing ones. Results suggest that growth strategies should continue to be sought for improving long-term financial condition. Operational efficiency was less important than market share, economic status of surrounding community, hospital size, and teaching intensity. This study's findings should help guide strategic planning for teaching hospitals.


Subject(s)
Financial Management/standards , Hospitals, Teaching/standards , Analysis of Variance , Chi-Square Distribution , Cohort Studies , Cross-Sectional Studies , Financial Management/statistics & numerical data , Hospitals, Teaching/economics , Hospitals, Teaching/organization & administration , Humans , Quality of Health Care/standards , Quality of Health Care/statistics & numerical data , Retrospective Studies , United States
2.
Hosp Top ; 96(3): 75-79, 2018.
Article in English | MEDLINE | ID: mdl-29787343

ABSTRACT

Hospitals continue to face financial pressures from healthcare reform and heightened competition. In this study, our objective was to quantify the financial distress in acute care hospitals in Texas, applying multivariate logistic regression in a four-year longitudinal analysis. Of the 310 acute care hospitals, 50 (16.1%) were in financial distress in the most recent year, up considerably year over year. Distressed hospitals had fewer beds, lower patient acuity, and less outpatient revenues than those in good financial condition. Administrators should identify business turnaround strategies for combating distress to avoid potential closure.


Subject(s)
Bankruptcy , Forecasting/methods , Hospitals/standards , Financial Management, Hospital/standards , Hospitals/statistics & numerical data , Humans , Logistic Models , Retrospective Studies , Statistics, Nonparametric , Surveys and Questionnaires , Texas
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