• Korea Journal of Hospital Management
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• v.7 no.2
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• pp.24-36
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• 2002

The purpose of this paper is to find the factors affecting the number of patients per physician for a day at hospital and compare them with the results of previous studies. We used data of Korean national patients survey that had been carried out by central government and local health centers from October 27th to November 11th in 1999. Descriptive analyses were performed to overview the general characteristics of our study subject. Also, we tried to find the factors affecting the number of patients per physician for a day at hospital through t test and correlation analysis. Factors affecting the number of outpatients per physician for a day at hospital are location, training type, ownership, No. of physicians, No. of beds per physician, No. of physicists per physician, No. of nursing aids per physician and No. of medical technicians per physician. While factors affecting the number of inpatients per physician for a day at hospital are location, ownership, No. of physicians, No. of beds per physician, No. of pharmacists per physician, No. of nurses per physician, No. of nursing aids per physician and No. of administrative auxiliary personnels per physician. The most correlated variable with outpatients per physician for a day at hospital is No. of medical technicians per physician while the most correlated variable with inpatients per physician for a day at hospital is No. of beds per physician. A more detailed investigation is needed for verifying factors affecting the number of patients per physician for a day at hospital and other medical institutions.

• Health Policy and Management
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• v.9 no.3
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• pp.1-20
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• 1999

This study reviews the literature of influencing factor on hospital-employed physician's income, and it describes general distribution of hospital-employed physician's income, and analyzes influencing factor of hospital-employed physician's income. A total of 1.795 persons responded to the mail survey. through stratified sampling by 23 branches of medical society in Korean RBRVS study. The design of the study is cross sectional study. and the unit of analysis is a physician. To examine the change of average income per month. multiple regression was used to test the change according to physician's characteristics. demographic characteristics. scale of hospital. average intensity of ordinary work. and specialty. The major findings of this study are as follows; 1. As for physicians working in first referral hospital. the average income of neurosurgeon per month was the largest. being 1.34 times larger than that of the family physician, and that of the emergency physician was the smallest, being 0.78 times smaller than that of the family physician, but that of the ophthalmic and Orthopaedic physician was significantly larger than that of the family physician under the control of control variables. And average income per month was significantly larger for physicians who worked in Seoul metropolitan area than physicians who worked in rural area. 2. The year of physician's career, number of average out-patients per month significantly positively associated, but the number of hospital beds and average intensity of therapy significantly negatively associated with average income per month. 3. As for physicians working in second referral hospital. the average income of the psychiatric physician per month was the largest, being 1.33 times larger than that of the family physician, and that of the emergency physician was smallest, being 0.74 times smaller than that of the family physician., but no significant difference was seen under the control of control variables, and average income per month was significantly larger for physicians who worked in Seoul metropolitan area than physicians who worked in large municipal area. 4. The year of physician's career and number of hospital beds significantly positively associated, but average working hours per month significantly negatively associated with average income per month. In conclusion, the year of hospital-employed physician's career is the largest influencing factor on hospital-employed physicians. But the difference of average income per month according to working regions and to number of hospital beds existed in employed physicians under the control of control variables. So this study has implementation that we must consider the influence of working regions and the number of hospital beds on the income of hospital-employed physicians in making policy for hospital. Being a cross-sectional study, this study can not suggest causal explanations. In the future, experiment or cohort study is needed for causal explanations.

• Health Policy and Management
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• v.17 no.2
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• pp.18-32
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• 2007

The purpose of this study was a quantitative analysis for the influence of physician's assistants on national health insurance revenue and number of patients in clinic. The data was derived from the Korean national health insurance. That was complete enumeration. Dependent variables were measured by national health insurance revenue and number of patients. Independent variables were reported physician's assistants that the number of nurse, nurse-aid, technologist of clinical laboratory, physical therapist and radiologist in clinic. Confounding variables were classified by demand(region, number of inhabitants, number of clinics, number of bed per a hundred thousand persons) and supply(sex and age of representative, number of bed, subjective of medical treatment). On the multiple regression analyses, the physician's assistants that nurse, nurse-aid, technologist of clinical laboratory and physical therapist were statistically significant for outputs. But radiologist was statistically significant only for number of patient.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.770-785
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• 1998

This study describes the relation of physician's income and price of medical service and social welfare through microeconomic view, reviews the literature of influencing factor on physician's income, and it describes general distribution of physician's income, and analyzes influencing factor of physician's income. A total of 844 persons responded to the mail survey, through stratified sampling by 23 branches of medical society in Korean RBRVS study. The design of the study is cross sectional study, and the unit of analysis is a physician. To examine the change of average income per month, multiple regression was used to test the change according to physician's characteristics, demographic characteristics, scale of clinic, average intensity of ordinary work, and specialty. The major findings of this study are as follows; 1. As for self-employed physicians, the difference of average income per month among specialties was mcreased \4,850,000, but the difference was \6,020,000 under the control of control variables. 2. The number of average out-patients per month and number of nurses and nursing aides significantly positively associated, and average income per month was significantly higher for physicians who had sick-beds than physicians who had no sick-beds. In conclusion, the number of out-patient and number of nurses and nursing aides is the major influencing factor, and the difference of average income per month among specialties existed in self-employed physicians. So this study suggests basic hypothesis that the price of medical service and supply of physician by specialties are not pertinent. Being a cross-sectional study, this study can not suggest causal explanations. In the future, further study is needed for causal explanations.

• Health Policy and Management
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• v.19 no.3
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• pp.125-141
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• 2009

The purpose of this study was to examine the role of provider practice patterns in the difference in health expenditure between the two types of patients: Health Insurance and Medical Aid type 1. The study used the outpatient claim data for all Medicaid and health insurance patients of hypertension who received medical services from 8,454 primary care physicians during the first half of 2006. The data were stratified by patient's gender and age for the two groups of patients who received care from the same physician. The dependent variables were the differences in medical expenditure per case, patient days per case and medical expenditure per patient day between Medicaid patients and health insurance patients. Empirical results showed that physician characteristics, such as physicians under age 50, greater proportion of pediatric Medicaid patients, lower proportion of new Medicaid patients and the greater number of comorbidity of Medicaid patients are associated with the greater difference between the two types of patients (i.e., greater expenditure of Medicaid patients relative to health insurance patients). This study shows that factors associated with provider practice patterns need to be taken into account in Medicaid policy.

• Journal of Preventive Medicine and Public Health
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• v.20 no.1 s.21
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• pp.56-66
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• 1987

Information on productivity of hospital personnel is required for optimum staffing and hospital management. This study deals with the quantitative aspects of workload of medical personnel in training hospitals by their specific characteristics. Specifically this study attempted to find relevant determinants of the productivity of medical personnel using multiple stepwise regression analysis based on data obtained from 135 training hospitals. The findings of this study were as follows: 1) Daily average number of outpatients and inpatients treated by a physician were 20.4 and 10.2, respectively. 2) Daily average number of patients cared by a nurse was 8.2. Daily average number of tests performed by pathologic technician and radiologic technician were 83.2 and 21.5, respectively. 3) Productivity of medical personnel were significantly different for the three groups of factors: hospital sire (number of beds, number of medical personnel per 100 beds): institutional characteristics (medical school affiliation, training type, profit status); and environmental factors (location, number of physician and beds per 1,000 population in the region). 4) The factors a(footing the productivity varied according to the types of medical profession: the number if beds, the number of physicians per 100 beds, training type, and profit status for physicians; the number of nurses per 100 beds, the number of beds, medical school affiliation for nurses; the number of physicians per 100 beds, the number of technicians per 100 beds, and ownership for pathologic technicians; the number o( technicians, training type, and the number of physicians per 100 beds for radiologic technician.

• Journal of Preventive Medicine and Public Health
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• v.39 no.5
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• pp.411-418
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• 2006

Objectives: The purpose of this study was to determine whether the disabled have worse access to primary care than the non-disabled. Methods: We used the National Disability Registry data and the National Health Insurance data for the calendar year 2003, and we analyzed 807,380 disabled persons who had been registered until December 2001 and we also analyzed 1,614,760 non-disabled persons for nine ambulatory care sensitive conditions (ACSCs). The rates of physician visits and hospitalizations for the patients with ACSCs were compared between the disabled and the nondisabled. Multiple logistic regression analysis was used to evaluate the association between medical care utilization and disability and to assess the association between hospitalization and the number of physician visits while controlling for potential confounders. Results: The numbers of physician visits per 100 patients were $0.78{\sim}0.97$ times lower for the disabled than that for the non-disabled with five of nine ACSCs. The numbers of hospitalizations per 100 patients were $1.16{\sim}1.77$ times higher for the disabled than that for the non-disabled with all the ACSCs. While the ORs of a physician visit for the disabled were significantly lower than that for the non-disabled with all the ACSCs (OR: $0.44{\sim}0.70$), and the ORs of hospitalization for the disabled were significantly higher (OR: $1.16{\sim}1.89$). The lower physician visit group (number of physician visits ${\leq}$1) was more likely to be hospitalized than the higher physician visit group (number of physician visits ${\geq}$2) (OR: $1.69{\sim}19.77$). The effect of the physician visit rate on hospitalization was larger than the effect of disability on hospitalization. Conclusions: The results suggest that the disabled were more likely to be hospitalized for ACSCs due to their lower access to primary care.

• Health Policy and Management
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• v.9 no.2
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• pp.21-39
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• 1999

An increasing number of hospitals are seeking for new or mixed compensation strategies to improve the productivity of their medical staff in the struggle to provide high quality medical services at low costs amid the economic hardship. To motivate physicians toward the right direction, it is necessary to effectively evaluate their performance that provides a basis for compensation. However, productivity has been historically difficult to measure, particularly for physicians in academic medical centers who are expected to engage in research, education, and patient care simultaneously. The objectives of this study were to define performance measures of physicians and clinical departments in academic medical centers. to examine correlations between the measures. and to investigate factors affecting the measures. The performance data of 212 faculty physicians in 17 clinical departments in two university teaching hospitals affiliated to one medical school during the fiscal year 1994 was used for analyses. Patient care revenue, net profit. and adjusted number of patients were defined to measure the performance in patient care. and number of articles published in academic journals and research grant were defined for research activities. Both individual physicians' performance measures and per physician measures of clinical departments were analyzed. All measures defined to evaluate individual physicians' performance were positively related to each other. Clinical department and rank of faculty position were statistically significant predictors of revenue. and hospital. clinical department. and rank were significant predictors of net profit. journal publication. and research grant. Patient care measures defined to evaluate clinical departments were related to each other. so were research measures. and no significant correlations were found between patient care measures and research measures. Also found were large differences in department. ranks when clinical departments were evaluated by absolute per physician performance measures and evaluated by annual rate of changes in performance measures. These findings suggest that departmental performance measures opposed to individual performance measures are relatively free from problems of factors affecting the performance measures that are not in control of clinical departments or individual physicians. Results from the correlation analysis of departmental performance measures indicates that measures of research performance should be included in the evaluation to promote research activities in academic medical centers.

• Health Policy and Management
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• v.18 no.3
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• pp.41-57
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• 2008

To examine the gap between physician's perceived importance and performance of care and to identify factors associated with the gap. A self-administered questionnaire survey was conducted with 91 physicians working in a University hospital in Seoul. The respondents were asked about their perceived importance and actual performance of interpersonal care on a 5-point Likert-type scale, indicating a higher score as higher importance and performance. Interpersonal care was measured by questions modified from the Korean Standard Service Quality Index, which are grouped into 6 categories: basic services, extra services, reliability, courtesy, convenience, and tangibles. Multiple regression analysis was conducted to find out physician characteristics associated with the gap. All of the 6 interpersonal care categories showed lower performance than perceived importance. The respondents tended to have a worse performance than perceived importance as the number of patients per outpatient care session ($\beta$=-0.0204, p<0.05) and the need for customer satisfaction education increase ($\beta$=-0.2226, p<0.05). Female physicians ($\beta$=0.2336, p<0.05) and those with higher job satisfaction($\beta$=0.0096, p<0.05) showed a better performance than perception. Overall, it appears that lower quality of interpersonal care was delivered to patients than the desired level considered by the responding physicians. Based on the regression analysis results, it is suggested that reducing patient volume per session, fulfilling education need for customer satisfaction, and improving job satisfaction may contribute to reduce the gap between physician's perceived importance and performance of interpersonal care.

• Journal of Preventive Medicine and Public Health
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• v.26 no.3 s.43
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• pp.442-456
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• 1993

Financial stability is the foremost prerequisite for the continuous growth and development of hospitals. The present study aimed at developing a deterministic model using the factors which affect the hospitals profitability and at discovering which factor affected the hospital profitability. The study conducted questionnaire surveys on all general hospitals, with the exception of special hospitals, with over eighty hospital beds. Of the 274 subject hospitals, 136 of them, consituting 49.6% of the whole, were used in the study. The results are as follows. 1. In the deterministic model, outpatient revenue was affected more by the number of physician visits than by outpatient service intensity. Inpatient revenue was found to be affected more by the number of discharged patients than by inpatient service intensity. However, the increase rate of the service intensity not only contributed in stepping up the operating margin by $4{\sim}8%$ in outpatient and $3{\sim}6%$ in inpatient, but it was statistically significant. 2. Among the factors which determined the operating cost within the deterministic model, the number of patients had a greater impact on the operating cost than the resource consumption per patient. 3. The resource consumption per patient were proved to have the greatest effect on the profitability within the probabilistic model. The management cost per adjusted patient, in particular, was proven to have a statistically significant effect on the profitability in all hospitals.