Literature DB >> 32209550

Participatory Design of a Personalized Genetic Risk Tool to Promote Behavioral Health.

Alex T Ramsey1, Michael Bray2, Penina Acayo Laker3, Jessica L Bourdon2, Amelia Dorsey2, Maia Zalik2, Amanda Pietka2, Patricia Salyer2, Erika A Waters4, Li-Shiun Chen2, Laura J Bierut2.   

Abstract

Despite major advancements in genomic medicine, research to optimize the design and communication of genetically informed interventions in behavioral health has lagged. The goal of this study was to engage potential end users in participatory codesign of a personalized genetically informed risk tool to intervene on high-risk health behaviors. We used structured interviews to examine end-user attitudes and interest in personalized genetics, qualitative interviews to guide iterative design of a genetically informed tool, and questionnaires to assess acceptability and potential utility of the tool. Participants expressed strong demand for using personal genetics to inform smoking and alcohol-related disease risk and guide treatment (78%-95% agreed). Via iterative design feedback, we cocreated a genetically informed risk profile featuring (i) explanation of genetic and phenotypic markers used to construct a risk algorithm, (ii) personalized risks and benefits of healthy behavior change, and (iii) recommended actions with referral to freely available resources. Participants demonstrated sufficient understanding and cited motivating behavior change as the most useful purpose of the tool. In three phases, we confirmed strong desire for personalized genetics on high-risk health behaviors; codesigned a genetically informed profile with potential end users; and found high acceptability, comprehensibility, and perceived usefulness of the profile. As scientific discovery of genomic medicine advances in behavioral health, we must develop the tools to communicate these discoveries to consumers who stand to benefit. The potential of genomic medicine to engage populations and personalize behavioral health treatment depends, in part, on preparatory studies to design for the future implementation of genetically informed interventions. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32209550      PMCID: PMC7335332          DOI: 10.1158/1940-6207.CAPR-20-0029

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  46 in total

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Authors:  Christopher I Amos; Xifeng Wu; Peter Broderick; Ivan P Gorlov; Jian Gu; Timothy Eisen; Qiong Dong; Qing Zhang; Xiangjun Gu; Jayaram Vijayakrishnan; Kate Sullivan; Athena Matakidou; Yufei Wang; Gordon Mills; Kimberly Doheny; Ya-Yu Tsai; Wei Vivien Chen; Sanjay Shete; Margaret R Spitz; Richard S Houlston
Journal:  Nat Genet       Date:  2008-04-02       Impact factor: 38.330

2.  The precision medicine initiative: a new national effort.

Authors:  Euan A Ashley
Journal:  JAMA       Date:  2015-06-02       Impact factor: 56.272

3.  A new initiative on precision medicine.

Authors:  Francis S Collins; Harold Varmus
Journal:  N Engl J Med       Date:  2015-01-30       Impact factor: 91.245

4.  Optimal Integration of Behavioral Medicine into Clinical Genetics and Genomics.

Authors:  William M P Klein; Colleen M McBride; Caitlin G Allen; Elva M Arredondo; Cinnamon S Bloss; Kimberly A Kaphingst; Amy C Sturm; Catharine Wang
Journal:  Am J Hum Genet       Date:  2019-02-07       Impact factor: 11.025

Review 5.  Precision Public Health for the Era of Precision Medicine.

Authors:  Muin J Khoury; Michael F Iademarco; William T Riley
Journal:  Am J Prev Med       Date:  2015-11-04       Impact factor: 5.043

6.  The right tool is what they need, not what we have: a taxonomy of appropriate levels of precision in patient risk communication.

Authors:  Brian J Zikmund-Fisher
Journal:  Med Care Res Rev       Date:  2012-09-06       Impact factor: 3.929

7.  Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential.

Authors:  Arlen C Moller; Gina Merchant; David E Conroy; Robert West; Eric Hekler; Kari C Kugler; Susan Michie
Journal:  J Behav Med       Date:  2017-01-05

8.  Genetic Risk Can Be Decreased: Quitting Smoking Decreases and Delays Lung Cancer for Smokers With High and Low CHRNA5 Risk Genotypes - A Meta-Analysis.

Authors:  Li-Shiun Chen; Timothy Baker; Rayjean J Hung; Amy Horton; Robert Culverhouse; Sarah Hartz; Nancy Saccone; Iona Cheng; Bo Deng; Younghun Han; Helen M Hansen; Janet Horsman; Claire Kim; Albert Rosenberger; Katja K Aben; Angeline S Andrew; Shen-Chih Chang; Kai-Uwe Saum; Hendrik Dienemann; Dorothy K Hatsukami; Eric O Johnson; Mala Pande; Margaret R Wrensch; John McLaughlin; Vidar Skaug; Erik H van der Heijden; Jason Wampfler; Angela Wenzlaff; Penella Woll; Shanbeh Zienolddiny; Heike Bickeböller; Hermann Brenner; Eric J Duell; Aage Haugen; Irene Brüske; Lambertus A Kiemeney; Philip Lazarus; Loic Le Marchand; Geoffrey Liu; Jose Mayordomo; Angela Risch; Ann G Schwartz; M Dawn Teare; Xifeng Wu; John K Wiencke; Ping Yang; Zuo-Feng Zhang; Margaret R Spitz; Christopher I Amos; Laura J Bierut
Journal:  EBioMedicine       Date:  2016-08-10       Impact factor: 8.143

Review 9.  The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis.

Authors:  Gareth J Hollands; David P French; Simon J Griffin; A Toby Prevost; Stephen Sutton; Sarah King; Theresa M Marteau
Journal:  BMJ       Date:  2016-03-15

10.  Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network's Common Measures Working Group.

Authors:  Lori A Orlando; Nina R Sperber; Corrine Voils; Marshall Nichols; Rachel A Myers; R Ryanne Wu; Tejinder Rakhra-Burris; Kenneth D Levy; Mia Levy; Toni I Pollin; Yue Guan; Carol R Horowitz; Michelle Ramos; Stephen E Kimmel; Caitrin W McDonough; Ebony B Madden; Laura J Damschroder
Journal:  Genet Med       Date:  2017-09-14       Impact factor: 8.822

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  2 in total

1.  In-vivo design feedback and perceived utility of a genetically-informed smoking risk tool among current smokers in the community.

Authors:  Jessica L Bourdon; Amelia Dorsey; Maia Zalik; Amanda Pietka; Patricia Salyer; Michael J Bray; Laura J Bierut; Alex T Ramsey
Journal:  BMC Med Genomics       Date:  2021-05-26       Impact factor: 3.063

2.  Proof of Concept of a Personalized Genetic Risk Tool to Promote Smoking Cessation: High Acceptability and Reduced Cigarette Smoking.

Authors:  Alex T Ramsey; Jessica L Bourdon; Michael Bray; Amelia Dorsey; Maia Zalik; Amanda Pietka; Patricia Salyer; Li-Shiun Chen; Timothy B Baker; Marcus R Munafò; Laura J Bierut
Journal:  Cancer Prev Res (Phila)       Date:  2020-09-21
  2 in total

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