Literature DB >> 27649898

Continued importance in translation from research to health policy in China.

Jun Zhang1,2, Fan Jiang3, Xiaoming Shen4.   

Abstract

Precision Medicine may be considered as another strategic effort of "from-bench-to-beside" translation. In order to have a maximal impact on population health, the translation must go further. A new translational medicine paradigm is proposed to improve the clarity of conceptual pathways and facilitate translation from research to health policy. The latter is particularly important in low- and middle-income countries where the need to improve population health is immediate and immense.

Entities:  

Keywords:  Health policy; Precision medicine; Research; Translation

Mesh:

Year:  2016        PMID: 27649898      PMCID: PMC5029096          DOI: 10.1186/s12967-016-1021-7

Source DB:  PubMed          Journal:  J Transl Med        ISSN: 1479-5876            Impact factor:   5.531


The Precision Medicine Initiative proposed by the president of the United States (U.S.) last year has swept through the research landscape in China. It is considered by some as a new direction of future research and a new model for health care delivery [1]. The National Health and Family Planning Commission of China reportedly plans to spend 60 billion Ren Min Bi (RMB) (US$9.2 billion) in Precision Medicine in the next 15 years [2]. At the core of the Precision Medicine Initiative lies the proposal to use (1) large databases such as the human genome sequence; (2) individual characterizing information from modern technologies such as proteomics, metabolomics, genomics, and diverse cellular assays; (3) computational tools for analyzing big data; and (4) mobile health technology, to prevent and treat diseases by taking variability of individual patients into account [3]. The concept is noble but to implement this strategy requires seas of knowledge. Precision testing alone is insufficient; making clinical sense of the testing results, counseling patients, judging clinical actionability and providing clinical guidance to patient care are essential. To this end, the Initiative plans to launch a large prospective cohort study of over 1 million Americans to obtain necessary information and translate it into clinical practice. Recent requests for proposals from the Ministry of Science and Technology of China followed suit. In addition to a million-people cohort, China goes further to establish more than a dozen of disease-specific cohorts with a focus on treatment and prognosis research. If translational medicine emphasizes the process from research to practice to policy, Precision Medicine is a method of research and practice. In essence, Precision Medicine is another strategic effort of from-research-to-practice translation. But the translation must go further. If the ultimate goal of translational medicine is to improve health of the population, translation from research to prevention and health policy remains to be of critical importance, especially in low- and middle-income countries [4]. We hereby propose a new paradigm that hopefully can improve the clarity of conceptual pathways and facilitate translation from medical research to health policy (Fig. 1).
Fig. 1

A new translational medicine paradigm. Steps in translational medicine

A new translational medicine paradigm. Steps in translational medicine There are two similar but distinct pathways in translational research. The clinical pathway has been well characterized in the past decade and the importance of translating basic science discoveries into clinical application and from clinical practice to health care policy, eventually benefitting a large population has been demonstrated in a number of successful examples in China [5]. However, the preventive medicine pathway is much less well conceptualized and popularized. Epidemiologic studies identify risk factors for diseases (e.g., smoking) or health promoters (e.g., exercise). Health promoters can also come from basic and/or clinical research, e.g., vaccines. Through rigorous testing, most often by randomized field trials, effective preventive measures and health promoters are established. Yet, implementation of preventive strategies in community also requires deep knowledge in health care delivery and disease prevention systems, health economics, health education and behavior modification, and even relevant regulation and law. T3 is a process of knowledge acquisition through social and behavioral studies and knowledge transfer from academic setting to community. If a preventive measure can be successfully implemented and demonstrate its effectiveness, setting up a corresponding public health policy should be advocated (T4). In the context of Precision Medicine, certain cancer treatments have taken the lead in the clinical pathway and the treatment success was improved substantially [6]. Yet, much research is needed particularly in treating common diseases, which will have much greater implications in health care policy. More importantly, and probably more difficult as well is to establish personalized prevention. Evidence indicates that for common and complex diseases such as hypertension, genetics accounts for a small proportion of the etiology; environment and behavioral factors are the main determinants of such diseases. Thus, while genetic information is helpful, available literature does not seem to lend a strong support yet for a policy of universal gene sequencing for the purpose of prevention, despite that the cost of whole genome sequencing has dropped substantially. The interpretation of genome sequencing results is another significant challenge. The prevention pathway of the translational medicine framework remains as an important process to translate from research to public health policy in China in the near future. In spite of some successes in our own practice in policy translation [7], an efficient and effective channel and applicable process to transfer knowledge from academicians to policy makers have not been established in China; nor is it being systematically practiced. Most physicians and scientists feel that T4 is out of their reach and, therefore, may not have the desire to carry out advocacy. Policy makers, on the other hand, often have multiple issues at hand that compete for their attention. Evidence shows that it is critical to build and maintain a good relationship and trust between researchers and policy makers [8]. Policy makers also rank direct interaction with researchers as the most effective way to take up science into policy [9]. It is beneficial for researchers to inform and engage policy makers in research process as early as possible and throughout the study period. In addition, policy makers need synthesized evidence that is easy to understand and communicate [8]. Consequently, “knowledge broker” or “professional communicator” model was proposed to facilitate the communications between researchers and policy makers [10]. China offers great opportunities to apply evidence-based policy to the field because it is undertaking tremendous infrastructure and capacity building as well as system reforms. An individual scientific discovery may be translated or localized into one particular policy. Multiple scientific advances may be embedded in one comprehensive system reform. And a large national or city project may incorporate a number of health policies and scientific innovations. To achieve these requires both researchers and policy-makers to change their mindset, value and invest in translation research. Funding agencies in North America and Europe often explicitly require plans and tangible measures for knowledge translation and policy implications in grant applications in recent years. A number of centers for translation research were funded by the National Institutes of Health (NIH) across the U.S. Within NIH a Center for Translation Research and Implementation Science was established last year [11]. These models and, more importantly, their contents deserve a careful assessment in China. We would further suggest that local governments may also consider supporting translation research centers with T4 translation as part of the mandate to address urgent local needs. Policy makers can solicit ideas from researchers to solve local problems. A review board may select promising candidates and communicate with policy makers for further consideration. When a sound health policy is successfully translated and effectively applied, the results can be especially rewarding in China in terms of the scale of impact and the magnitude of change in a relatively short time [7]. In summary, the Precision Medicine Initiative propels the translational medicine movement to another height. For a country like China, which accounts for 20 % of the world’s population, the need to improve population health is immediate and immense. It will be imperative to maximize the benefits of the discoveries by Precision Medicine, not only for treatment but, more importantly, for disease prevention. When we try to advance Precision Medicine, the bigger picture of Translational Medicine, particularly the translation from research to health policies, should not be forgotten.
  10 in total

Review 1.  Health policy-makers' perceptions of their use of evidence: a systematic review.

Authors:  Simon Innvaer; Gunn Vist; Mari Trommald; Andrew Oxman
Journal:  J Health Serv Res Policy       Date:  2002-10

2.  From research to public policy: an essential extension of the translation research agenda.

Authors:  David M Mirvis
Journal:  Clin Transl Sci       Date:  2009-10       Impact factor: 4.689

Review 3.  The in-between world of knowledge brokering.

Authors:  Jonathan Lomas
Journal:  BMJ       Date:  2007-01-20

4.  Precision medicine initiative aims for a new generation of diagnostics and treatments: but is the promise of genetic targeting overinflated?

Authors:  Stephen Barlas
Journal:  P T       Date:  2015-05

5.  News from NIH: a center for translation research and implementation science.

Authors:  George A Mensah; Michael Engelgau; Catherine Stoney; Helena Mishoe; Peter Kaufmann; Michelle Freemer; Lawrence Fine
Journal:  Transl Behav Med       Date:  2015-06       Impact factor: 3.046

6.  Precision medicine--personalized, problematic, and promising.

Authors:  J Larry Jameson; Dan L Longo
Journal:  N Engl J Med       Date:  2015-05-27       Impact factor: 91.245

7.  Next-generation personalised medicine for high-risk paediatric cancer patients - The INFORM pilot study.

Authors:  Barbara C Worst; Cornelis M van Tilburg; Gnana Prakash Balasubramanian; Petra Fiesel; Ruth Witt; Angelika Freitag; Miream Boudalil; Christopher Previti; Stephan Wolf; Sabine Schmidt; Sasithorn Chotewutmontri; Melanie Bewerunge-Hudler; Matthias Schick; Matthias Schlesner; Barbara Hutter; Lenka Taylor; Tobias Borst; Christian Sutter; Claus R Bartram; Till Milde; Elke Pfaff; Andreas E Kulozik; Arend von Stackelberg; Roland Meisel; Arndt Borkhardt; Dirk Reinhardt; Jan-Henning Klusmann; Gudrun Fleischhack; Stephan Tippelt; Uta Dirksen; Heribert Jürgens; Christof M Kramm; Andre O von Bueren; Frank Westermann; Matthias Fischer; Birgit Burkhardt; Wilhelm Wößmann; Michaela Nathrath; Stefan S Bielack; Michael C Frühwald; Simone Fulda; Thomas Klingebiel; Ewa Koscielniak; Matthias Schwab; Roman Tremmel; Pablo Hernáiz Driever; Johannes H Schulte; Benedikt Brors; Andreas von Deimling; Peter Lichter; Angelika Eggert; David Capper; Stefan M Pfister; David T W Jones; Olaf Witt
Journal:  Eur J Cancer       Date:  2016-07-29       Impact factor: 9.162

8.  Aligning incentives to fulfil the promise of personalised medicine.

Authors:  Victor J Dzau; Geoffrey S Ginsburg; Karen Van Nuys; David Agus; Dana Goldman
Journal:  Lancet       Date:  2015-05-06       Impact factor: 79.321

Review 9.  Acute promyelocytic leukemia: from highly fatal to highly curable.

Authors:  Zhen-Yi Wang; Zhu Chen
Journal:  Blood       Date:  2008-03-01       Impact factor: 22.113

10.  Environmental lead exposure among preschool children in Shanghai, China: blood lead levels and risk factors.

Authors:  Jia Cao; Minming Li; Yu Wang; Guangjun Yu; Chonghuai Yan
Journal:  PLoS One       Date:  2014-12-01       Impact factor: 3.240

  10 in total

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