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Effectiveness of Pay-for-Performance Incentive Designs on Diabetes Care

Bibliographic Data

ID9103881
AuthorsHui-Min Hsieh (0000-0003-3286-7306, Department of Public Health, corresponding author), Shyi-Jang Shin (Kaohsiung Medical University), Shyi‐Jang Shin (0000-0001-5074-8488, Kaohsiung Medical University), Shu-Ling Tsai (0000-0001-5516-043X, Bureau of National Health Insurance, Ministry of Health and Welfare, Taipei), Shu‐Ling Tsai (Ministry of Health and Welfare), Herng-Chia Chiu (0000-0002-6561-5685, Research Education and Epidemiology Center, Changhua Christian Hospital, Changhua City)
Year2016
Volume54
Issue12
Pages1063-1069
Publication date2016-12-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000609
PMID27479599
OpenAlexW2493275694
LanguageEN
Citations received1
References cited24

BACKGROUND: Taiwan's National Health Insurance program implemented a pay-for-performance (P4P) program based on process measures in 2001. In late 2006, the P4P was revised to also include achievement of outcome measures. OBJECTIVES: This study examined whether a change in P4P incentive design structure affected diabetes outcomes. RESEARCH DESIGN AND METHOD: We used a longitudinal cohort study design using 2 population-based databases. Newly enrolled P4P patients with diabetes in 2002-2003 (phase 1) and 2007-2008 (phase 2) made up the study cohorts. Propensity score matching was used to match comparable cohorts in each phase. In total, 46,286 matched cohorts in phase 1 and 2 were analyzed. Process measures were defined as the provision of tests of glycosylated hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol, and blood pressure, and outcome measures as changes in those values between baseline and last follow-up within 3 years. Patient-level generalized linear regression models were used and patient characteristics, physician characteristics, and health care facility characteristics were adjusted for. RESULTS: Our results indicated that the process measures of HbA1c and low-density lipoprotein cholesterol tests did not differ significantly between the 2 phases. In addition, better improvements were noted in outcome measures for the phase 2 patients (ie, HbA1c level and lipid profiles), whereas nonincentivized intermediate measures (eg, blood pressure) showed no negative unintended consequences. CONCLUSIONS: Quality of care tended to be better when both process and targeted outcome measures were combined as quality metrics in the P4P program in Taiwan

Cohort study · Diabetes mellitus · Environmental health · Incentive · Incentive program · Pay for performance · Physical therapy · Population · Propensity score matching · Research design · Statistics · Demography · Healthcare Policy and Management · Healthcare Systems and Reforms · Internal Medicine · Mathematics · Medicine · Primary Care and Health Outcomes

  • The Linkages Between Reimbursement and Prevention

    Open Access•Ellen Zwaagstra Salvado, Hilco J van Elten et al.•Frontiers in Public Health•2021

  • Effects of pay for performance in health care

    Open Access•Frank Eijkenaar, Martin Emmert et al.•Health Policy•2013

  • A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003

    Open Access•Peter C Austin•Statistics in Medicine•2008

  • Propensity Score-Matching Methods for Nonexperimental Causal Studies

    Rajeev Dehejia, Rajeev H Dehejia et al.•The Review of Economics and…•2002

  • A Longitudinal Examination of a Pay-for-Performance Program for Diabetes Care

    Simon H Cheng, Shou-Hsia Cheng et al.•Medical Care•2012

  • Cost-Effectiveness of Diabetes Pay-for-Performance Incentive Designs

    Hui-Min Hsieh, Shu-Ling Tsai et al.•Medical Care•2015

Citations per year0.2
Citation span2021 - 2021 (1)
Highly citedNo

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