Trend, application, and reporting of Mini-health technology assessment: an evidence mapping
Year: 2025
Type: article
Study design: Systematic Review
Abstract: OBJECTIVE: This study aims to systematically identify and summarize the key characteristics of Mini-Health Technology Assessment (Mini-HTA) and assess the completeness of its basic reporting information, providing a theoretical foundation for developing future reporting guidelines.. METHODS: A comprehensive search for Mini-HTAs was performed using CNKI, Wanfang Data, VIP, CBM, PubMed, Embase, Web of Science, HTA database, and major HTA-related websites from inception until February 2024. The completeness of basic information reporting in Mini-HTAs was assessed using the INAHTA checklist. The key characteristics of the included Mini-HTAs were summarized descriptively. Microsoft Excel 2019 was used to analyze and visually present the data. RESULTS: A total of 21 Mini-HTA reports were included, with the highest number published in 2021 (5 reports, 23.8 percent). China contributed the most reports (18 reports, 85.7 percent). The most common assessment purpose was technology comparison (15 reports, 71.4 percent), with general hospitals being the predominant assessment setting (17 reports, 80.9 percent), and drugs being the most frequently assessed technology type (14 reports, 66.7 percent). The INAHTA checklist evaluation identified notable deficiencies in reporting key methodological aspects, including participant roles, conflict of interest statements, data sources, literature search strategies, and methods for data assessment and analysis. CONCLUSION: Mini-HTAs have significantly increased in China since 2020, mainly in technology comparison, drug evaluation, and general hospitals. However, gaps remain in reporting key aspects, such as participant roles, conflict of interest, and data sources. Future efforts should focus on refining reporting guidelines to improve consistency and address these reporting deficiencies in Mini-HTA.
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,550
OpenAlex ID: W4417035976
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