Open AccessDeterminants of knowledge translation from health technology assessment to policy-making in China: From the perspective of researchers
Author(s) -
Wenbin Liu,
Lizheng Shi,
Raymond Pong,
Hengjin Dong,
Yiwei Mao,
Tao Meng,
Yingyao Chen
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0190732
Subject(s) - china , health technology , knowledge translation , medicine , political science , knowledge management , health care , computer science , law
Background For health technology assessment (HTA) to be more policy relevant and for health technology-related decision-making to be truly evidence-based, promoting knowledge translation (KT) is of vital importance. Although some research has focused on KT of HTA, there is a dearth of literature on KT determinants and the situation in developing countries and transitional societies remains largely unknown. Objective To investigate the determinants of HTA KT from research to health policy-making from the perspective of researchers in China. Design Cross-sectional study. Methods A structured questionnaire which focused on KT was distributed to HTA researchers in China. KT activity levels in various fields of HTA research were compared, using one-way ANOVA. Principal component analysis was performed to provide a basis to combine similar variables. To investigate the determinants of KT level, multiple linear regression analysis was performed. Results Based on a survey of 382 HTA researchers, it was found that HTA KT wasn’t widespread in China. Furthermore, results showed that no significant differences existed between the various HTA research fields. Factors, such as attitudes of researchers toward HTA and evidence utilization, academic ranks and linkages between researchers and policy-makers, had significant impact on HTA KT (p-values<0.05). Additionally, collaboration between HTA researchers and policy-makers, policy-relevance of HTA research, practicality of HTA outcomes and making HTA reports easier to understand also contributed to predicting KT level. However, academic nature of HTA research was negatively associated with KT level. Conclusion KT from HTA to policy-making was influenced by many factors. Of particular importance were collaborations between researchers and policy-makers, ensuring policy relevance of HTA and making HTA evidence easier to understand by potential users.