RESUMEN
Objective To explore the relationship between case mix index ( CMI ) and the bed allocation in clinical departments, and to evaluate the performance of bed scale of departments at tertiary hospitals based on CMI. Methods Based on the HIS system of a tertiary hospital, the authors collected the disease treatment information and bed allocation information of each clinical department in 2015. The CMI value was calculated by means of diagnosis-related group( DRG) , while the proportion of cases and average daily beds occupancy corresponding to the quartile of the CMI value of each department was also counted. Then the bed occupancy and distribution of various patients were analyzed. Results The hospital′s overall CMI value, DRG groups, DRG cases at the departments, days of stay, DRGs, CMI values and its quartiles were calculated. It was found that the medical and surgical CMIs had a linear relationship with the critical proportion (r=0. 998, 0. 996, P<0. 001). The main influencing factors of average daily bed occupancy were ranged from high to low as followed: the number of cases that were allocated in the group, employee numbers and CMI (F=87. 656, P<0. 001). Conclusions CMI is an ideal indicator for the difficulty of medical services at different departments and for evaluating the bed scale performance. Hence it can be used as an important reference for bed number adjustment in hospitals.
RESUMEN
Service diversification is recognized as an important strategy against turbulent environmental change. This study is designed to find out the trend of service diversification in Korean health care organizations and also to identify factors associated with the degree of service diversification. Data were collected from 69 hospitals out of 71 hospitals with over 300 beds. Important findings are summarized below. 1. Types of diversification are closely related to hospital size. Large hospitals have a tendency to provide sophisticated service requiring specialized skills and equipment, while small hospital have concentrated their efforts on health screening programs. 2. The more competitive and bigger hospitals are, the greater number of services that provide. Also, hospitals operating rational management information systems provide more services. Contrary to the expectation, hospitals with a low performance during last 3 years showed more service diversification. 3. A trend of more diversification was observed in hospitals whose chief executive officer used a prospector strategy. 4. A multiple regression analysis revealed that bed size, competitive environment, degree of rational management, and the growth pattern were significantly associated with teh service diversification.