Literature DB >> 20042929

The evolution of diagnosis-related groups (DRGs): from its beginnings in case-mix and resource use theory, to its implementation for payment and now for its current utilization for quality within and outside the hospital.

Norbert Goldfield1.   

Abstract

Policymakers are searching for ways to control health care costs and improve quality. Diagnosis-related groups (DRGs) are by far the most important cost control and quality improvement tool that governments and private payers have implemented. This article reviews why DRGs have had this singular success both in the hospital sector and, over the past 10 years, in ambulatory and managed care settings. Last, the author reviews current trends in the development and implementation of tools that have the key ingredients of DRG success: categorical clinical model, separation of the clinical model from payment weights, separate payment adjustments for nonclinical factors, and outlier payments. Virtually all current tools used to manage health care costs and improve quality do not have these characteristics. This failure explains a key reason for the failure, for example, of the Medicare Advantage program to control health care costs. This article concludes with a discussion of future developments for DRG-type models outside the hospital sector.

Mesh:

Year:  2010        PMID: 20042929     DOI: 10.1097/QMH.0b013e3181ccbcc3

Source DB:  PubMed          Journal:  Qual Manag Health Care        ISSN: 1063-8628            Impact factor:   0.926


  14 in total

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2.  Patient classification and hospital reimbursement for inguinal hernia repair: a comparison across 11 European countries.

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3.  Estimation of standardized hospital costs from Medicare claims that reflect resource requirements for care: impact for cohort studies linked to Medicare claims.

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4.  The emerging role of national academies in surgical training: an inspiring environment for increasing the quality of health care in breast cancer management.

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5.  Diagnosis related group grouping study of senile cataract patients based on E-CHAID algorithm.

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6.  Concepts of comorbidities, multiple morbidities, complications, and their clinical epidemiologic analogs.

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7.  Acute myocardial infarction and diagnosis-related groups: patient classification and hospital reimbursement in 11 European countries.

Authors:  Wilm Quentin; Hanna Rätto; Mikko Peltola; Reinhard Busse; Unto Häkkinen
Journal:  Eur Heart J       Date:  2013-01-30       Impact factor: 29.983

Review 8.  Capturing patients' needs in casemix: a systematic literature review on the value of adding functioning information in reimbursement systems.

Authors:  Maren Hopfe; Gerold Stucki; Ric Marshall; Conal D Twomey; T Bedirhan Üstün; Birgit Prodinger
Journal:  BMC Health Serv Res       Date:  2016-02-03       Impact factor: 2.655

9.  Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG®) Casemix system in a teaching hospital in Malaysia.

Authors:  S A Zafirah; Amrizal Muhammad Nur; Sharifa Ezat Wan Puteh; Syed Mohamed Aljunid
Journal:  BMC Health Serv Res       Date:  2018-01-25       Impact factor: 2.655

10.  Six principles to enhance health workforce flexibility.

Authors:  Susan A Nancarrow
Journal:  Hum Resour Health       Date:  2015-04-07
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