Factors Affecting the Preference for Hospitals Over Clinics in Primary Care in Korea

Background@#While the effect of gatekeeping was extensively studied, few efforts have been made to explain why the measures to strengthen gatekeeping do not work well in some countries. This study examined the patient factors related to the choice of level of health care facilities for outpatient care in Korea. @*Methods@#We examined a population-based sample representative of the population of Korea aged 15 and over in the healthcare experience survey of 2021. A logistic regression model examined the factors associated with choosing hospitals or clinics for outpatient care. @*Results@#Easy accessibility, kindness of medical staff, and recommendations from acquaintances were considered more important for those who chose clinics over hospitals.While those who chose clinics were more likely to feel that physicians and nurses more readily communicated with patients, those who chose hospitals were more likely to feel that the facility was comfortable. Whereas those who chose hospitals were more likely to trust the current health care system in Korea, those who chose clinics were more likely to think that the health care system needed to be reformed. The tendency was similar when analyzed only among those with good perceived health conditions and without chronic diseases. @*Conclusion@#This study demonstrates that the preference for hospitals over clinics is mainly based on desire rather than medical need and is not likely to be affected by measures intended to induce a voluntary change of behavior.

Evaluation of Geographic Indices Describing Health Care Utilization / 예방의학회지

OBJECTIVES: The accurate measurement of geographic patterns of health care utilization is a prerequisite for the study of geographic variations in health care utilization. While several measures have been developed to measure how accurately geographic units reflect the health care utilization patterns of residents, they have been only applied to hospitalization and need further evaluation. This study aimed to evaluate geographic indices describing health care utilization. METHODS: We measured the utilization rate and four health care utilization indices (localization index, outflow index, inflow index, and net patient flow) for eight major procedures (coronary artery bypass graft surgery, percutaneous transluminal coronary angioplasty, surgery after hip fracture, knee replacement surgery, caesarean sections, hysterectomy, computed tomography scans, and magnetic resonance imaging scans) according to three levels of geographic units in Korea. Data were obtained from the National Health Insurance database in Korea. We evaluated the associations among the health care utilization indices and the utilization rates. RESULTS: In higher-level geographic units, the localization index tended to be high, while the inflow index and outflow index were lower. The indices showed different patterns depending on the procedure. A strong negative correlation between the localization index and the outflow index was observed for all procedures. Net patient flow showed a moderate positive correlation with the localization index and the inflow index. CONCLUSIONS: Health care utilization indices can be used as a proxy to describe the utilization pattern of a procedure in a geographic unit.

The Effect of Geographic Units of Analysis on Measuring Geographic Variation in Medical Services Utilization / 예방의학회지

OBJECTIVES: We aimed to evaluate the effect of geographic units of analysis on measuring geographic variation in medical services utilization. For this purpose, we compared geographic variations in the rates of eight major procedures in administrative units (districts) and new areal units organized based on the actual health care use of the population in Korea. METHODS: To compare geographic variation in geographic units of analysis, we calculated the age-sex standardized rates of eight major procedures (coronary artery bypass graft surgery, percutaneous transluminal coronary angioplasty, surgery after hip fracture, knee-replacement surgery, caesarean section, hysterectomy, computed tomography scan, and magnetic resonance imaging scan) from the National Health Insurance database in Korea for the 2013 period. Using the coefficient of variation, the extremal quotient, and the systematic component of variation, we measured geographic variation for these eight procedures in districts and new areal units. RESULTS: Compared with districts, new areal units showed a reduction in geographic variation. Extremal quotients and inter-decile ratios for the eight procedures were lower in new areal units. While the coefficient of variation was lower for most procedures in new areal units, the pattern of change of the systematic component of variation between districts and new areal units differed among procedures. CONCLUSIONS: Geographic variation in medical service utilization could vary according to the geographic unit of analysis. To determine how geographic characteristics such as population size and number of geographic units affect geographic variation, further studies are needed.