OBJECTIVES: The purpose of this study was to examine the impact of Diagnosis-Related Group (DRG)-based payment on the length of stay and the number of outpatient visits after discharge in for patients who had undergone caesarean section. METHODS: This study used the health insurance data of the patients in health care facilities that were paid by the Fee-For-Service (FFS) in 2001-2004, but they participated in the DRG payment system in 2005-2007. In order to examine the net effects of DRG payment, the Difference-In-Differences (DID) method was adopted to observe the difference in health care utilization before and after the participation in the DRG payment system. The dependent variables of the regression model were the length of stay and number of outpatient visits after discharge, and the explanatory variables included the characteristics of the patients and the health care facilities. RESULTS: The length of stay in DRG-paid health care facilities was greater than that in the FFS-paid ones. Yet, DRG payment has no statistically significant effect on the number of outpatient visits after discharge. CONCLUSIONS: The results of this study that DRG payment was not effective in reducing the length of stay can be related to the nature of voluntary participation in the DRG system. Only those health care facilities that are already efficient in terms of the length of stay or that can benefit from the DRG payment may decide to participate in the program.
Adolescent ; Adult ; Ambulatory Care/*economics/statistics & numerical data ; Cesarean Section/*economics/statistics & numerical data ; Diagnosis-Related Groups/*economics/statistics & numerical data ; Fee-for-Service Plans/*economics/statistics & numerical data ; Female ; Humans ; Insurance Claim Review ; Length of Stay/*economics/statistics & numerical data ; Middle Aged ; Pregnancy ; Young Adult

OBJECTIVES: The Diagnosis Related Group (DRG) payment system, which has been implemented in Korea since 1997, is based on voluntary participation. Hence, the positive impact of this system depends on the participation of physicians. This study examined the factors determining participation of Korean obstetrics & gynecology (OBGYN) clinics in the DRG-based payment system. METHODS: The demographic information, practice-related variables of OBGYN clinics and participation information in the DRG-based payment system were acquired from the nationwide data from 2002 to 2007 produced by the National Health Insurance Corporation and the Health Insurance Review & Assessment Service. The subjects were 336 OBGYN clinics consisting of 43 DRG clinics that had maintained their participation in 2003-2007 and 293 no-DRG (fee-for-service) clinics that had never been a DRG clinic during the same period. Logistic regression analysis was carried out to determine the factors associated with the participation of OBGYN clinics in the DRG-based payment system. RESULTS: The factors affecting participation of OBGYN clinics in the DRG-based payment system were as follows (p<0.05): (1) a larger number of caesarian section (c/sec) claims, (2) higher cost of a c/sec, (3) less variation in the price of a c/sec, (4) fewer days of admission for a c/sec, and (5) younger pregnant women undergoing a c/sec. CONCLUSIONS: These results suggest that OBGYN clinics with an economic practice pattern under a fee-for-service system are more likely to participate in the DRG-based payment system. Therefore, to ensure adequate participation of physicians, a payment system with a stronger financial incentive might be more suitable in Korea.
Adult ; Age Factors ; Ambulatory Care Facilities/economics/*statistics & numerical data ; Cesarean Section/statistics & numerical data ; Costs and Cost Analysis/statistics & numerical data ; Demography ; Diagnosis-Related Groups/economics/*statistics & numerical data ; Fee-for-Service Plans/statistics & numerical data ; Female ; Gynecology ; Humans ; Length of Stay/statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Obstetrics ; Pregnancy ; *Prospective Payment System ; Republic of Korea ; State Medicine/economics/*statistics & numerical data

INTRODUCTIONThe objective of this study was to determine factors, other than the Diagnostic Related Grouping (DRG), that can explain the variation in the cost of hospitalisation and length of hospital stay (LOS) in older patients.

MATERIALS AND METHODSThis was a prospective, observational cohort study involving 397 patients, aged 65 years and above. Data collected include demographic information, admission functional and cognitive status, overall illness severity score, number of referral to therapists, referral to medical social worker, cost of hospitalisation, actual LOS, discharge DRG codes and their corresponding trimmed average length of stay (ALOS).

RESULTSThe mean age of the cohort was 80.2 years. The DRG's trimmed ALOS alone explained 21% of the variation in the cost of hospitalisation and actual LOS. Incorporation of an illness severity score, number of referral to therapists and referral to medical social worker into the trimmed ALOS explained 30% and 31% of the variation in the cost and actual LOS, respectively.

CONCLUSIONThe DRG model is able to explain 21% of the variation in the cost of hospitalisation and actual LOS in older patients. Other factors that determined the variation in the cost of hospitalisation and LOS include the degree of illness severity, the number of referral to therapists and referral to medical social worker.

Age Factors ; Aged ; Confidence Intervals ; Diagnosis-Related Groups ; Female ; Frail Elderly ; statistics & numerical data ; Health Resources ; economics ; statistics & numerical data ; Health Status Indicators ; Hospitalization ; economics ; statistics & numerical data ; Humans ; Length of Stay ; statistics & numerical data ; trends ; Linear Models ; Male ; Prospective Studies ; Psychometrics ; Referral and Consultation ; Reproducibility of Results ; Severity of Illness Index ; Singapore ; Statistics, Nonparametric