Evidence mapPaperPMID 38229176Full record

ArticleGlobal health research and policy2024

Mapping of health technology assessment in China: a comparative study between 2016 and 2021.

Shimeng Liu, Yu Xia, Yi Yang, Jian Ming, Hui Sun, Yan Wei, Yingyao Chen

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Article in Global health research and policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Shimeng Liu *School of Public Health, Fudan University, Shanghai, 200032, China.ORCID 0009-0007-6878-6272
Yu Xia *School of Public Health, Fudan University, Shanghai, 200032, China.
Yi YangSchool of Public Health, Fudan University, Shanghai, 200032, China.
Jian MingSchool of Public Health, Fudan University, Shanghai, 200032, China.
Hui SunSchool of Public Health, Fudan University, Shanghai, 200032, China.
Yan WeiSchool of Public Health, Fudan University, Shanghai, 200032, China. yanwei@fudan.edu.cn.
Yingyao ChenSchool of Public Health, Fudan University, Shanghai, 200032, China. yychen@shmu.edu.cn.ORCID 0000-0002-3470-0748

Funding

China Medical Board Grant 19-318
6 · The paper itself

Abstract

backgroundHealth Technology Assessment (HTA) in China has recently expanded from purely academic research to include policy or decision-oriented practice, especially after HTA evidence was used to update the National Reimbursement Drug List for the first time in 2017. This study aims to identify the progress and challenges of HTA development from 2016 to 2021 and inform policies and decisions to promote further HTA development in China.

methodsWe conducted a cross-sectional web-based survey with policy makers, researchers and industry-providers in China in 2016 and 2021 respectively. The 'Mapping of HTA Instrument', was utilized to assess the HTA development across eight domains: Institutionalization, Identification, Priority setting, Assessment, Appraisal, Reporting, Dissemination of findings and conclusions, and Implementation in policy and practice. To reduce the influence of confounders and compare the mapping outcomes between the 2016 and 2021 groups, we conducted 1:1 Propensity Score Matching (PSM). Univariate analysis was conducted to compare the differences between the two groups. The overall results were further compared with those of a mapping study that included ten countries.

resultsIn total, 212 and 255 respondents completed the survey in 2016 and 2021, respectively. The total score of the HTA development level in China in 2021 was higher than that in 2016 before PSM (89.38 versus 83.96). Following PSM, 183 respondents from the 2016 and 2021 groups were matched. Overall, the mean scores for most indicators in the Institutionalization domain and Dissemination domain in 2021 were higher than those in 2016 (P < 0.05). The Appraisal domain in 2021 was more explicit, transparent and replicable than that in 2016 (t = -3.279, P < 0.05). However, the mean scores of most indicators in the Assessment domain were higher in 2016 than those in 2021 (P < 0.05).

conclusionsOur study suggest that the level of HTA development in China progressed significantly from 2016 to 2021. However, before engaging in HTA activities, further efforts are required to enhance the assessment process. For instance, it is important to establish a clear goal and scope for HTA; adapt standardized methodologies for evaluating the performance of systematic reviews or meta-analyses; and provide comprehensive descriptions of the safety, clinical effectiveness, cost, and cost-effectiveness of the assessed technologies, thus improving the development of HTA in China.

Indexed as

Health PolicyTechnology Assessment, BiomedicalChinaCross-Sectional StudiesSystematic Reviews as TopicChinaDevelopment levelHealth technology assessmentMappingPropensity score matching

Identifiers

PMID38229176
PMCPMC10790493

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.