Analysis of Hospital Characteristics Affecting the Choice of Management Strategy Types: A Cross-Sectional Survey of Private Hospitals in Japan — Oak Academic Publishing
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Analysis of Hospital Characteristics Affecting the Choice of Management Strategy Types: A Cross-Sectional Survey of Private Hospitals in Japan
Department of Medical Informatics and Statistics, Niigata University Graduate School of Medical and Dental Sciences, Niiga-ta, Japan
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Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan
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Department of Medical Informatics and Statistics, Niigata University Graduate School of Medical and Dental Sciences, Niiga-ta, Japan
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Department of Medical Informatics and Statistics, Niigata University Graduate School of Medical and Dental Sciences, Niiga-ta, Japan
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Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan
1 Department of Medical Informatics and Statistics, Niigata University Graduate School of Medical and Dental Sciences, Niiga-ta, Japan
2 Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan
3 Department of Medical Informatics and Statistics, Niigata University Graduate School of Medical and Dental Sciences, Niiga-ta, Japan
4 Department of Medical Informatics and Statistics, Niigata University Graduate School of Medical and Dental Sciences, Niiga-ta, Japan
5 Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan
The hospital environment in Japan has changed drastically lately. Its unpredictability has increased the need for hospitals to select management strategies to clarify their course. However, research on Japanese hospitals’ management strategies has only recently begun with too few studies in this area. Hence, this study clarifies the management strategies of Japanese private hospitals. It explores the hospital characteristics that affect strategy selection. A questionnaire was mailed to 5682 private medical institutions in 2013, and 459 responses with no missing data were used for analysis. Factor analysis yielded four factors: “bed conversion and downsizing (Factor 1),” “diversification of medical and nursing care (Factor 2),” “expansion in business scale (Factor 3),” and “expansion of income from non-insured medical care (Factor 4)”. Logistic regression analysis revealed that Year Founded (before 1965), Hospital Location (municipalities with populations smaller than 100,000), Hospital Type (psychiatric hospitals and mixed-care hospital), and Hospital Income and Expenditure (deficit) had significant positive impacts on the choice of Factor 1. For Factor 2, Hospital Type (sanatorium ward and mixed-care hospitals) and Hospital Income and Expenditure (constant surplus) had positive impacts. For Factor 3, Hospital Type (general hospital) and Bed Counts (more than 200) had positive impacts. For Factor4, Hospital Type (general hospital) had positive impacts. In other words, older hospitals, hospitals in rural areas, psychiatric hospitals, mixed-care hospitals, and hospitals with deficits tended to choose bed conversion and downsizing. Sanatorium ward hospitals, mixed-care hospitals, and hospitals with a constant surplus tended to choose diversification of medical and nursing care. General hospitals and large hospitals tended to choose expansion in scale, and general hospitals tended to choose expansion into non-insured medical care. The planning of mid- to long-term management strategies suitable for each hospital and their steady execution are required.
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