Effects of New Diagnosis-Related Group-Based Payment on Efficiency of Public Hospitals

2018 ◽  
Vol 56 (4) ◽  
pp. 33-57 ◽  
Author(s):  
Gun-do Kim ◽  
J. Hun Park
Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 127 ◽  
Author(s):  
Sollip Kim ◽  
Yeo-Min Yun ◽  
Hyeongsu Kim ◽  
Tae-Hyun Um ◽  
Jeonghyun Chang ◽  
...  

Korea introduced a new diagnosis-related group (NDRG), which is a mixed-bundle reimbursement system. We evaluated the effects of NDRGs on laboratory test quality by analyzing data over three years (2016–2018) from the Korean Association of External Quality Assessment Service (KEQAS). A total of 42 NDRG-participating hospitals (CASE), 84 non-participating similar size-hospitals (CON-1), and 42 tertiary hospitals (CON-2) were included. We assumed the proportion of KEQAS results with a larger than 2 standard deviation index (SDI) to be a bad laboratory quality marker (BLQM). CASE BLQMs were lower than CON-1 BLQMs for more than 2 years in alkaline phosphatase (ALP), alanine aminotransferase (ALT), chloride, glucose, sodium, and total protein, and higher in creatinine. CASE BLQMs were higher than CON-2 BLQMs for more than 2 years in ALP, chloride, creatinine, glucose, lactate dehydrogenase (LDH), phosphorus, potassium, sodium, total calcium, total cholesterol, triglyceride, and uric acid. Mean SDIs for general chemistry tests were not significantly different depending on NDRG participation. However, the NDRG is currently a pilot program that compensates the amount of each institution’s reimbursement based on the fee-for-service system, and most participants were public hospitals. Thus, the effects of NDRGs on laboratory test quality should be re-evaluated after the NDRG program has stabilized and more private hospitals are participating.


1998 ◽  
Vol 21 (1) ◽  
pp. 37 ◽  
Author(s):  
Don Hindle ◽  
Pieter Degeling ◽  
Ono Van Der Wel

The Diagnosis Related Group classification has provided an excellent basis forenhancing the equity of resource allocation between public acute hospitals. However,it underestimates the higher levels of severity and consequent costliness of referralhospitals.This paper describes a practical way of measuring within-DRG variations in severity,which can be used to increase the precision of casemix-based funding. It involves theregression of length of stay against the numbers of significant diagnoses and procedures,and hence the prediction of additional justified costs. An example is given of itsapplication to data from South Australian public hospitals.


2019 ◽  
Vol 4 (1) ◽  
pp. 61-69
Author(s):  
Panos Panagiotopoulos ◽  
Nikos Maniadakis ◽  
George Papatheodoridis ◽  
Dimitris Pektasidis

2021 ◽  
Vol 11 (1) ◽  
pp. 47-54
Author(s):  
Misuk Ji ◽  
Yong-jun Choi ◽  
Sollip Kim ◽  
Yeo-Min Yun ◽  
Tae Hyun Um ◽  
...  

Critical Care ◽  
2009 ◽  
Vol 13 (Suppl 1) ◽  
pp. P485
Author(s):  
A Mclaughlin ◽  
J Hardt ◽  
J Canavan ◽  
MB Donnelly

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