Analysis of Influencing Factors on the Outpatient Prescription of Antipsychotic Drugs in the Elderly Patients

Background@#Most antipsychotic drugs studies have been mainly conducted on side effects, randomized clinical trials, utilization rates, and trends. But there have been few studies on the influencing factors in elderly patients. The purpose of this study was to analyze the influencing factors on the outpatient prescription of antipsychotic drugs in the elderly patients. @*Methods@#Active ingredients of antipsychotic drugs in Korea were selected according to the Korean Pharmaceutical Information Center (KPIC)’s classification. Data source was Korean Health Insurance Review and Assessment Service (HIRA) claims data in 2020 and target patient group was the elderly patient group. We extracted patients who have been prescribed one or more antipsychotic drugs and visited only one medical institution. Data were analyzed using descriptive statistics, chi-square, t-test, negative binomial regression. @*Results@#A number of outpatients were 245,197 and prescriptions were 1,379,092. Most characteristics of patients were 75-85 year’s old, female, health insurance type, no disease (dementia, schizophrenia), atypical drugs, cci score (>2) and characteristics of medical institution were neurology in specialty, rural region, general hospitals. Results of regression showed that patient’s characteristics and medical center characteristics had significant effect on the outpatient prescription of antipsychotic drugs in the elderly patients. @*Conclusion@#This study suggests that national policy of antipsychotic drugs in the elderly patients, with the consideration of the patients’ and medical institutions’ characteristics, is needed.

A Study on the Spatial Accessibility to the Psychiatry Department in General Hospital and Its Relationship with the Visit of Mental Patients / 보건행정학회지

BACKGROUND: This study was purposed to analyze the effect of spatial accessibility to the psychiatry department in general hospital on the outpatient visit of mental patients. METHODS: Data was provided from the Statistics Korea and Statistical Geographic Information Service, National Health Insurance Service, Health Insurance Review and Assessment Service, and Korea Transport Institute in 2015. The study regions were 103 administrative regions such as Si and Gu. The 103 regions had at least one general hospitals with a psychiatry department. The number of outpatient visit of mental patients in regions was used as the dependent variable. Spatial accessibility to mental general hospital was used as the independent variable. Control variables included such as demographic, economic, and health·medical factors. This study used network analysis and multi-variate regression analysis. Network analysis by ArcGIS ver. 10.0 (ESRI, Redlands, CA, USA) was used to evaluate the average travel time and travel distance in Korea. Multi-variate regression analysis was conducted by SAS ver. 9.4 (SAS Institute Inc., Cary, NC, USA). RESULTS: Travel distance and time had significant effects on the number of outpatient visits in mental patients in general hospital. Average travel time and travel distance had negative effects on the number of visits. Variables such as (number of total population, percentage of aged population over 65, and number of mental general hospital) had significant effects on the number of visit in mental patients. CONCLUSION: Health policy makers will need to consider the spatial accessibility to the mental healthcare organization in conducting regional health planning.

The Effects of the Metabolic Syndrome on the Total Medical Charge / 보건행정학회지

BACKGROUND: This study purposed to analyze the effects of metabolic syndrome on the total medical charge of patients. METHODS: 2013 National Health Insurance Service sample research database (eligibility database, medical database, and health examination database) was used for this study. Gamma regression was applied to analyze the effects of metabolic syndrome on the total medical charge and logistic regression was used to determine the probability of medical charge which was higher than the third quartile. Sociodemographic characteristics (age and household income), health behavior factors (smoking, drinking, exercise, and body mass index), and disease related factors (family history and metabolic syndrome) were included as the independent variables. RESULTS: people who had metabolic syndrome spent more medical expenses than those without metabolic syndrome both in man and woman group. The standard regression coefficient was 0.09 (p<0.001) in man with metabolic syndrome and 0.16 (p<0.001) in woman. In addition, woman with metabolic syndrome spent more than the third quartile of medical charge. The odds ratios was 1.04 (p=0.16) for man with metabolic syndrome and 1.18 (p=0.013) for woman. CONCLUSION: people with metabolic syndrome spent more medical charge, so it will need to consider policy interventions for preventing the incidence and management of metabolic syndrome in Korean people.