Determinants of hospital closure in South Korea: use of a hierarchical generalized linear model.

Understanding causes of hospital closure is important if hospitals are to survive and continue to fulfill their missions as the center for health care in their neighborhoods. Knowing which hospitals are most susceptible to closure can be of great use for hospital administrators and others interested in hospital performance. Although prior studies have identified a range of factors associated with increased risk of hospital closure, most are US-based and do not directly relate to health care systems in other countries. We examined determinants of hospital closure in a nationally representative sample: 805 hospitals established in South Korea before 1996 were examined-hospitals established in 1996 or after were excluded. Major organizational changes (survival vs. closure) were followed for all South Korean hospitals from 1996 through 2002. With the use of a hierarchical generalized linear model, a frailty model was used to control correlation among repeated measurements for risk factors for hospital closure. Results showed that ownership and hospital size were significantly associated with hospital closure. Urban hospitals were less likely to close than rural hospitals. However, the urban location of a hospital was not associated with hospital closure after adjustment for the proportion of elderly. Two measures for hospital competition (competitive beds and 1-Hirshman--Herfindalh index) were positively associated with risk of hospital closure before and after adjustment for confounders. In addition, annual 10% change in competitive beds was significantly predictive of hospital closure. In conclusion, yearly trends in hospital competition as well as the level of hospital competition each year affected hospital survival. Future studies need to examine the contribution of internal factors such as management strategies and financial status to hospital closure in South Korea.

[1]  Y A Ozcan,et al.  Hospital closure: an efficiency analysis. , 1994, Hospital & health services administration.

[2]  H. D. Patterson,et al.  Recovery of inter-block information when block sizes are unequal , 1971 .

[3]  G. Chase,et al.  Structural Determinants of Hospital Closure , 1984, Medical care.

[4]  J. Alexander,et al.  Managing hospitals in turbulent times: do organizational changes improve hospital survival? , 1999, Health services research.

[5]  N. Lurie,et al.  A public hospital closes. Impact on patients' access to care and health status. , 1990, JAMA.

[6]  M. B. Dumas,et al.  Hospital closures and survivals: an analysis of operating characteristics and regulatory mechanisms in three states. , 1983, Health services research.

[7]  B. Goody Defining rural hospital markets. , 1993, Health services research.

[8]  J. Nelder,et al.  Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions , 2001 .

[9]  J. Mayer,et al.  Patterns of rural hospital closure in the United States. , 1987, Social science & medicine.

[10]  R. Rydman,et al.  Rural community hospitals and factors correlated with their risk of closing. , 1989, Public health reports.

[11]  Graham Alan Jackson,et al.  Effects of hospital closure on mortality rates of the over‐65 long‐stay psychiatric population , 1998, International journal of geriatric psychiatry.

[12]  Jeffrey A. Alexander,et al.  Institutionalized ties and corporate social capital: The case of hospital mergers and closures , 2001 .

[13]  J. Probst,et al.  Economic impact of hospital closure on small rural counties, 1984 to 1988: demonstration of a comparative analysis approach. , 1999, The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association.

[14]  D. Dayhoff,et al.  Access to Care in Rural America: Impact of Hospital Closures , 1995, Health care financing review.

[15]  J. Robinson,et al.  A variable-radius measure of local hospital market structure. , 1993, Health services research.

[16]  J. Nelder,et al.  Hierarchical Generalized Linear Models , 1996 .

[17]  J. Hadley,et al.  Profits, Community Role, and Hospital Closure: An Urban and Rural Analysis , 1992, Medical care.

[18]  G. Bazzoli,et al.  The effect of urban hospital closure on markets. , 2003, Journal of health economics.

[19]  Rural and urban hospital closures, 1985-1988: operating and environmental characteristics that affect risk. , 1992, Inquiry : a journal of medical care organization, provision and financing.

[20]  R. Lepnurm,et al.  The closure of rural hospitals in Saskatchewan: method or madness? , 2001, Social science & medicine.

[21]  J. Kralewski,et al.  Measuring Geographic Access to Health Care in Rural Areas , 1994, Medical care review.

[22]  S M Shortell,et al.  The etiology and determinants of hospital closure. , 1996, Journal of health care finance.

[23]  J. Alexander,et al.  Determinants of profound organizational change: choice of conversion or closure among rural hospitals. , 1996, Journal of health and social behavior.

[24]  J. Alexander,et al.  Effects of market position and competition on rural hospital closures. , 1997, Health services research.

[25]  J. Kalbfleisch,et al.  Marginal likelihoods based on Cox's regression and life model , 1973 .