Literature DB >> 35869356

Systematic Review and Quality Assessment of Health Economic Evaluation Studies (2007-2019) Conducted in South Korea.

Sunghyun Yi1, Jihyung Hong2, Haemin Yoon3, You-Na Lim4, Eun-Young Bae5.   

Abstract

BACKGROUND: South Korea formally adopted economic evaluation in December 2006 to aid drug reimbursement decision-making. While this policy change is applied only to pharmaceuticals, it has also sparked interest in economic evaluations for non-pharmaceutical interventions and programmes.
OBJECTIVE: This study aimed to provide a snapshot of the current practice for published health economic evaluation studies and critically assess the quality of these studies.
METHODS: An electronic search was performed on multiple databases (EMBASE, PubMed, NHS Economic Evaluation Database, Scopus, Korean Medical database, Korean studies Information Service System, and Research Information Sharing Service) to identify health economic evaluation studies published between January 2007 and December 2019. The inclusion criteria were peer-reviewed, original health economic evaluations (cost-utility, cost-effectiveness, cost-minimisation, and cost-benefit analyses) published in English or Korean. Two reviewers selected studies for inclusion and extracted data from the included studies. Key characteristics of these studies were descriptively summarised, and study quality was assessed using the Quality of Health Economic Studies (QHES) instrument on a 100-point scale.
RESULTS: A total of 162 studies were included in this review (63 for drugs, 51 for non-pharmaceutical treatments/health technologies, and 48 for health programmes). These numbers confirm a significant increase in the number of publications since the policy introduction. However, the quality of these studies remained relatively low, with a mean QHES score of 57.9 (± 16.0). Study quality also varied substantially, with the QHES scores ranging from 15 to 87. The scores were notably lower in studies with non-pharmaceutical interventions and programmes, cost-effectiveness analyses or cost-benefit analyses, retrospective study-based or simple modelling-based analyses, and those locally published. In addition, a considerable proportion of these studies did not state or specify essential components of economic evaluation, such as perspectives (30.2%), time horizons (29.6%), discount rates (34.6%), and sensitivity analyses (24.7%). While the use of local data either fully or partially was relatively higher for unit costs (94.4%) and resource utilisation (90.1%), it was lower for utility weights (47.1%), treatment effects (63.0%), and baseline risks (70.4%). Transferability or generalisability issues were infrequently discussed when relying on foreign sources. In addition, the included studies were often not well structured, making it difficult to assess their quality.
CONCLUSION: These findings suggest that there is still much room for improving the quality of health economic evaluation studies conducted in South Korea. Policymakers should critically evaluate available cost-effectiveness evidence, especially for non-pharmaceutical interventions and programmes, when using it for decision-making in South Korea.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Year:  2022        PMID: 35869356     DOI: 10.1007/s40258-022-00746-9

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   3.686


  16 in total

1.  Development and validation of a grading system for the quality of cost-effectiveness studies.

Authors:  Chiun-Fang Chiou; Joel W Hay; Joel F Wallace; Bernard S Bloom; Peter J Neumann; Sean D Sullivan; Hsing-Ting Yu; Emmett B Keeler; James M Henning; Joshua J Ofman
Journal:  Med Care       Date:  2003-01       Impact factor: 2.983

Review 2.  The quality of published health economic analyses in digestive diseases: a systematic review and quantitative appraisal.

Authors:  Brennan M R Spiegel; Laura E Targownik; Fasiha Kanwal; Vincent Derosa; Gareth S Dulai; Ian M Gralnek; Chiun-Fang Chiou
Journal:  Gastroenterology       Date:  2004-08       Impact factor: 22.682

Review 3.  Examining the value and quality of health economic analyses: implications of utilizing the QHES.

Authors:  Joshua J Ofman; Sean D Sullivan; Peter J Neumann; Chiun-Fang Chiou; James M Henning; Sally W Wade; Joel W Hay
Journal:  J Manag Care Pharm       Date:  2003 Jan-Feb

4.  Assessment of pharmacoeconomic evaluations submitted for reimbursement in Korea.

Authors:  Eun-Young Yim; Sang Hee Lim; Mi-Jeong Oh; Hye Kyung Park; Ji-Ryoun Gong; Sung Eun Park; So Young Yi
Journal:  Value Health       Date:  2012 Jan-Feb       Impact factor: 5.725

Review 5.  Assessing the Quality of Economic Evaluations of FDA Novel Drug Approvals: A Systematic Review.

Authors:  Alex L Woersching; Matthew E Borrego; Dennis W Raisch
Journal:  Ann Pharmacother       Date:  2016-08-02       Impact factor: 3.154

Review 6.  Use of Checklists in Reviews of Health Economic Evaluations, 2010 to 2018.

Authors:  Rory D Watts; Ian W Li
Journal:  Value Health       Date:  2018-12-14       Impact factor: 5.725

7.  Evaluation of Quality of Pharmacoeconomic Studies in Asia-Pacific Region and Identification of Influencing Variables.

Authors:  Prabhakar Pandey; Rishabh Dev Pandey; Vatsal Shah
Journal:  Value Health Reg Issues       Date:  2017-09-09

8.  A framework for assessing Health Economic Evaluation (HEE) quality appraisal instruments.

Authors:  Astrid Langer
Journal:  BMC Health Serv Res       Date:  2012-08-16       Impact factor: 2.655

9.  A systematic review of scope and quality of health economic evaluation studies in Vietnam.

Authors:  Bach Xuan Tran; Vuong Minh Nong; Rachel Marie Maher; Phuong Khanh Nguyen; Hoat Ngoc Luu
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

Review 10.  Systematic critical review of previous economic evaluations of smoking cessation during pregnancy.

Authors:  Matthew Jones; Sarah Lewis; Steve Parrott; Tim Coleman
Journal:  BMJ Open       Date:  2015-11-13       Impact factor: 2.692

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