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Determinants of knowledge translation from health technology assessment to policy-making in China: From the perspective of researchers.

ABSTRACT: 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.To investigate the determinants of HTA KT from research to health policy-making from the perspective of researchers in China.Cross-sectional study.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.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.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.

SUBMITTER: Liu W

PROVIDER: S-EPMC5754132 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Determinants of knowledge translation from health technology assessment to policy-making in China: From the perspective of researchers.

Liu Wenbin W Shi Lizheng L Pong Raymond W RW Dong Hengjin H Mao Yiwei Y Tang Meng M Chen Yingyao Y

PloS one 20180104 1

<h4>Background</h4>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.<h4>Objective</h4>To investigate the determinants of HTA KT from research to health ...[more]

PMID: 29300753

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Project description:There is increasing interest globally in the use of more rigorous processes to ensure that maternal, newborn, and child health (MNCH) care recommendations are informed by the best available research evidence use. The purpose of this study was to engage Nigerian MNCH policy-makers and other stakeholders to consider issues around research to policy and practice interface and to assess their existing knowledge and capacity on the use of research evidence for policy-making and practice.The study design is a cross-sectional evaluation of MNCH stakeholders' knowledge as it pertains different dimensions of research to practice. This was undertaken during a national MNCH stakeholders' engagement event convened under the auspices of the West African Health Organization (WAHO) and the Federal Ministry of Health (FMoH) in Abuja, Nigeria. A questionnaire was administered to participants, which was designed to assess participants' knowledge, capacity and organizational process of generation, synthesis and utilization of research evidence in policy-making regarding MNCH.A total of 40 participants signed the informed consent form and completed the questionnaire. The mean ratings (MNRs) of participants' knowledge of electronic databases and capacity to identify and obtain relevant research evidence from electronic databases ranged from 3.62-3.68 on the scale of 5. The MNRs of participants' level of understanding of a policy brief, a policy dialogue and the role of researchers in policy-making ranged from 3.50-3.86. The MNRs of participants' level of understanding of evidence in policy-making context, types and sources of evidence, capacity to identify, select, adapt, and transform relevant evidence into policy ranged from 3.63-4.08. The MNRs of the participants' organization's capacity to cover their geographical areas of operation were generally low ranging from 3.32-3.38 in terms of manpower, logistics, facilities, and external support. The lowest MNR of 2.66 was recorded in funding.The outcomes of this study suggest that a stakeholders' engagement event can serve as an important platform to assess policy-makers' knowledge and capacity for evidence-informed policy-making and for the promotion of evidence use in the policy process.

Project description:BackgroundDespite extensive literature describing the use of social media in health research, a gap exists around best practices in establishing, implementing, and evaluating an effective social media knowledge translation (KT) and exchange strategies.ObjectiveThis study aims to examine successes, challenges, and lessons learned from using social media within health research and to create practical considerations to guide other researchers.MethodsThe Knowledge Translation Platform of the Alberta Strategy for Patient-Oriented Research SUPPORT Unit formed a national working group involving platform staff, academics, and a parent representative with experience using social media for health research. We collected and analyzed 4 case studies that used a variety of social media platforms and evaluation methods. The case studies covered a spectrum of initiatives from participant recruitment and data collection to dissemination, engagement, and evaluation. Methods and findings from each case study as well as barriers and facilitators encountered were summarized. Through iterative discussions, we converged on recommendations and considerations for health researchers planning to use social media for KT.ResultsWe provide recommendations for elements to consider when developing a social media KT strategy: (1) set a clear goal and identify a theory, framework, or model that aligns with the project goals and objectives; (2) understand the intended audience (use social network mapping to learn what platforms and social influences are available); (3) choose a platform or platforms that meet the needs of the intended audience and align well with the research team's capabilities (can you tap into an existing network, and what mode of communication does it support?); (4) tailor messages to meet user needs and platform requirements (eg, plain language and word restrictions); (5) consider timing, frequency, and duration of messaging as well as the nature of interactions (ie, social filtering and negotiated awareness); (6) ensure adequate resources and personnel are available (eg, content creators, project coordinators, communications experts, and audience stakeholder or patient advocate); (7) develop an evaluation plan a priori driven by goals and types of data available (ie, quantitative and qualitative); and (8) consider ethical approvals needed (driven by evaluation and type of data collection).ConclusionsIn the absence of a comprehensive framework to guide health researchers using social media for KT, we provide several key considerations. Future research will help validate the proposed components and create a body of evidence around best practices for using and evaluating social media as part of a KT strategy.

Project description:BackgroundTo improve knowledge utilization in policymaking, alignment between researchers and policymakers during knowledge production is essential, but difficult to maintain. In three previously reported case studies, we extensively evaluated complex research projects commissioned by policymakers to investigate how alignment is achieved in a research process and to discover ways to enhance knowledge contributions to health policy. In the present study, we investigated how the findings of these three research projects could be integrated into a practical tool for researchers to enhance their contribution to evidence-based policy.MethodsA cross-case analysis was conducted to integrate the findings of the evaluation of the three research projects and to identify important alignment areas in these projects. By means of an iterative process, we prepared a tool that includes reflection questions for researchers. The "Research for Policy" tool was tested with input from the project managers of three new research projects. Based on the findings, the final version of the Research for Policy tool was prepared.ResultsBy cross-case analysis of the three case studies, the following important alignment areas were identified: the goal, quality, relevance, timing, and presentation of research, the tasks and authorities of actors, the consultative structure and vertical alignment within organizations, and the organizational environment. The project managers regarded the Research for Policy tool as a useful checklist for addressing the important alignment areas in a research project. Based on their feedback, the illustrative examples from the case studies were added to the reflection questions. The project managers suggested making the tool accessible not only to researchers but also to policymakers. The format of the Research for Policy tool was further adjusted to users' needs by adding clickable links.ConclusionsAlignment between research and policymaking requires continuous efforts and a clear understanding of process issues in the research project. The Research for Policy tool offers practical alignment guidance and facilitates reflection on process issues, which supports researchers in aligning with policymakers and in acting in a context-sensitive way.

Project description:BackgroundCanadian funding agencies are no longer content to support research that solely advances scientific knowledge, and key directives are now in place to promote research transfer to policy- and decision-makers. Therefore, it is necessary to improve our understanding of how researchers are trained and supported to facilitate knowledge translation activities. In this study, we investigated differences in health researcher characteristics and knowledge translation activities.MethodsOur sample consisted of 240 health researchers from three Alberta universities. Respondents were classified by research domain [basic (n = 72) or applied (n = 168)] and faculty [medical school (n = 128) or other health science (n = 112)]. We examined our findings using Mode I and Mode II archetypes of knowledge production, which allowed us to consider the scholarly and social contexts of knowledge production and translation.ResultsDifferences among health researcher professional characteristics were not statistically significant. There was a significant gender difference in the applied researcher faculty group, which was predominantly female (p < .05). Research domain was linked to translation activities. Applied researchers reported engaging in significantly more Mode II activities than basic researchers (p < .001), and scored higher than basic researchers regarding the perceived importance of translation activities (Mode I, p = .01; Mode II, p < .001). Main effects of faculty were limited to engaged dissemination (medical school < other faculties; p = .025) and number of publications (medical school > other faculties; p = .004). There was an interaction effect for research domain and faculty group for number of publications (p = .01), in that applied researchers in medical faculties published more than their peers in other faculty groups.ConclusionOur findings illustrate important differences between health researchers and provide beginning insights into their professional characteristics and engagement in Mode I and Mode II activities. A future study designed to examine these dimensions in greater detail, including potential covariates across more varied institutions, would yield richer insights and enable an examination of relative influences, needs and costs of each mode of activity.

Project description:BackgroundKnowledge translation (KT) platforms are organisations, initiatives and networks that focus on supporting evidence-informed policy-making at least in part about the health-system arrangements that determine whether the right programmes, services and products get to those who need them. Many descriptions and evaluations of KT platforms in low- and middle-income countries have been produced but, to date, they have not been systematically reviewed.MethodsWe identified potentially relevant studies through a search of five electronic databases and a variety of approaches to identify grey literature. We used four criteria to select eligible empirical studies. We extracted data about seven characteristics of included studies and about key findings. We used explicit criteria to assess study quality. In synthesising the findings, we gave greater attention to themes that emerged from multiple studies, higher-quality studies and different contexts.ResultsCountry was the most common jurisdictional focus of KT platforms, EVIPNet the most common name and high turnover among staff a common infrastructural feature. Evidence briefs and deliberative dialogues were the activities/outputs that were the most extensively studied and viewed as helpful, while rapid evidence services were the next most studied but only in a single jurisdiction. None of the summative evaluations used a pre-post design or a control group and, with the exception of the evaluations of the influence of briefs and dialogues on intentions to act, none of the evaluations achieved a high quality score.ConclusionsA large and growing volume of research evidence suggests that KT platforms offer promise in supporting evidence-informed policy-making in low- and middle-income countries. KT platforms should consider as next steps expanding their current, relatively limited portfolio of activities and outputs, building bridges to complementary groups, and planning for evaluations that examine 'what works' for 'what types of issues' in 'what types of contexts'.

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Determinants of knowledge translation from health technology assessment to policy-making in China: From the perspective of researchers.

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Determinants of knowledge translation from health technology assessment to policy-making in China: From the perspective of researchers.

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