Psychometric development and validation of the Hospital Resilience Index Article Swipe
Philipp Lirk
,
Haroon Janjua
,
Michael P. Rogers
,
Stephen E. Flynn
,
Paul C. Kuo
,
Ricardo Pietrobon
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s44250-024-00162-x
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s44250-024-00162-x
Background Throughout the past decades, the United States healthcare system has seen increased efforts to promote continuity of operations in response to external or internal stressors. There is no marker to characterize this facet of health system resilience. The two databases which may contain the most relevant data are the American Hospital Association (AHA) annual survey, which gathers over 1000 data points from more than 6000 hospitals, and the RAND corporation, which provides information on the financial health and viability of hospitals and health care systems. In that sense, AHA focuses more on organizational and practice issues, while RAND will cover more economic factors. Our study aimed to develop and psychometrically validate a new Hospital Resilience Index (HRI). Methods We took the AHA and RAND databases as primary data sources, and defined hospital closure as the main negative outcome indicating failed resilience. We performed descriptive statistics, and regression analysis of the databases. Results Our findings show that a combination of eleven variables is strongly associated with the likelihood of hospital closure. These factors mirror smaller hospital size, lack of ancillary functions, staffing structure of the hospital, size of facilities, number of surgeries performed, Medicare discharges, operating expenses, and medical school affiliation as a teaching hospital. We further classified hospitals with a low HRI (< 25) or high HRI (> 25). In this setup, we found that both hospitals with a low HRI and hospitals that would subsequently close were characterized by smaller patient census, smaller numbers of surgeries, fewer beds, a smaller staff, and a lower operating margin. Conclusions Together, these factors would point to a higher resilience to external stressors in larger, more expanded hospitals and healthcare systems, offering a broad range of services, and having a higher operating margin. The higher tiers of the healthcare system therefore seem to have more resilience, but the recent Covid-19 pandemic exhibited how much all tiers in the system are needed to respond to extraordinary crises such as pandemics or large natural disasters. Future research should seek to determine whether tracking the HRI over time may be a tool to identify hospitals at risk of closure.
Related Topics
Concepts
Staffing
Descriptive statistics
Health care
Psychological resilience
Resilience (materials science)
Stressor
Index (typography)
Health administration
Medicine
Closure (psychology)
Psychology
Medical emergency
Family medicine
Nursing
Statistics
Public health
Computer science
Political science
Psychotherapist
Clinical psychology
Mathematics
Physics
World Wide Web
Thermodynamics
Law
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s44250-024-00162-x
- OA Status
- diamond
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404588194
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404588194Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s44250-024-00162-xDigital Object Identifier
- Title
-
Psychometric development and validation of the Hospital Resilience IndexWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-21Full publication date if available
- Authors
-
Philipp Lirk, Haroon Janjua, Michael P. Rogers, Stephen E. Flynn, Paul C. Kuo, Ricardo PietrobonList of authors in order
- Landing page
-
https://doi.org/10.1007/s44250-024-00162-xPublisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1007/s44250-024-00162-xDirect OA link when available
- Concepts
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Staffing, Descriptive statistics, Health care, Psychological resilience, Resilience (materials science), Stressor, Index (typography), Health administration, Medicine, Closure (psychology), Psychology, Medical emergency, Family medicine, Nursing, Statistics, Public health, Computer science, Political science, Psychotherapist, Clinical psychology, Mathematics, Physics, World Wide Web, Thermodynamics, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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25Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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