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A Qualitative Study of Anticipated Decision Making around Type 2 Diabetes Genetic Testing: the Role of Scientifically Concordant and Discordant Expectations
dc.contributor.authorCarmichael, Alicia G.
dc.contributor.authorHulswit, Bailey B.
dc.contributor.authorMoe, Emily J.
dc.contributor.authorJayaratne, Toby Epstein
dc.contributor.authorYashar, Beverly M.
dc.date.accessioned2019-01-15T20:29:16Z
dc.date.available2019-01-15T20:29:16Z
dc.date.issued2017-06
dc.identifier.citationCarmichael, Alicia G.; Hulswit, Bailey B.; Moe, Emily J.; Jayaratne, Toby Epstein; Yashar, Beverly M. (2017). "A Qualitative Study of Anticipated Decision Making around Type 2 Diabetes Genetic Testing: the Role of Scientifically Concordant and Discordant Expectations." Journal of Genetic Counseling 26(3): 469-479.
dc.identifier.issn1059-7700
dc.identifier.issn1573-3599
dc.identifier.urihttps://hdl.handle.net/2027.42/147076
dc.description.abstractType 2 diabetes mellitus (T2DM) genetic testing is undergoing clinical trials to measure the efficacy of genetic counseling for behavior‐based risk reduction. The expectations patients bring to the testing process may play an important role in individual outcomes. We conducted a qualitative exploration of anticipated decision‐making and expectations around T2DM genetic testing. Semi‐structured interviews were completed with Mexican Americans (n = 34), non‐Hispanic Black Americans (n = 39), and non‐Hispanic White Americans (n = 39) at risk for T2DM. Transcripts were analyzed for themes. Most participants would accept T2DM genetic testing in order to motivate risk‐reducing behaviors or apprise family members of their risk. Participants who would decline testing wished to avoid emotional distress or believed the test would not reveal new risk information. Non‐Hispanic Whites and those with college education declined genetic testing more often than other groups. Those without college education were more likely to have testing expectations that were discordant with current science, such as conflating genetic testing with common ‘blood tests.’ Understanding expectations and decision‐making factors around T2DM genetic testing will better prepare healthcare professionals to counsel their patients. This may lead to a higher efficacy of T2DM genetic testing and counseling.
dc.publisherSpringer US
dc.publisherWiley Periodicals, Inc.
dc.subject.otherDiabetes
dc.subject.otherDecision‐making
dc.subject.otherQualitative research
dc.subject.otherGenetic testing
dc.titleA Qualitative Study of Anticipated Decision Making around Type 2 Diabetes Genetic Testing: the Role of Scientifically Concordant and Discordant Expectations
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelHuman Genetics
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/147076/1/jgc40469.pdf
dc.identifier.doi10.1007/s10897-016-9999-9
dc.identifier.sourceJournal of Genetic Counseling
dc.identifier.citedreferencePersky, S., Kaphingst, K. A., Condit, C. M., & McBride, C. M. ( 2007 ). Assessing hypothetical scenario methodology in genetic susceptibility testing analog studies: a quantitative review. Genetics in Medicine, 9, 727 – 738.
dc.identifier.citedreferenceLombard, M., Snyder‐Duch, J., & Bracken, C. C. ( 2002 ). Content analysis in mass communication: assessment and reporting of intercoder reliability. Human Communication Research, 28, 1468 – 2958.
dc.identifier.citedreferenceMacQueen, K. M., McLellan, E., Kay, K., & Milstein, B. ( 1998 ). Codebook development for team‐based qualitative analysis. Field Methods, 10, 31 – 36.
dc.identifier.citedreferenceMarkowitz, S. M., Park, E. R., Delahanty, L. M., O’Brien, K. E., & Grant, R. W. ( 2011 ). Perceived impact of diabetes genetic risk testing among patients at high phenotypic risk for type 2 diabetes. Diabetes Care, 34, 568 – 573.
dc.identifier.citedreferenceMcAndrew, L. M., Musumeci‐Szabó, T. J., Mora, P. A., Vileikyte, L., Burns, E., Halm, E. A., Leventhal, E. A., & Leventhal, H. ( 2008 ). Using the common sense model to design interventions for the prevention and management of chronic illness threats: From description to process. British Journal of Health Psychology, 12, 195 – 204.
dc.identifier.citedreferenceMeigs, J. B., Shrader, P., Sullivan, L. M., McAteer, J. B., Fox, C. S., Dupuis, J., Manning, A. K., Florez, J. C., Wilson, P. W. F., D’Agostino, R. B., & Cupples, L. A. ( 2008 ). Genotype score in addition to common risk factors for prediction of type 2 diabetes. The New England Journal of Medicine, 359, 2208 – 2219.
dc.identifier.citedreferenceMills, R., Powell, J., Barry, W., & Haga, S. B. ( 2015 ). Informationseeking and sharing behavior following genomic testing for diabetes risk. Journal of Genetic Counseling, 24, 58 – 66.
dc.identifier.citedreferenceNishigaki, M., Kobayashi, K., Hitomi, T., Yokomura, T., Yokoyama, M., Seki, N., & Kazuma, K. ( 2007 ). Perception of offspring risk for type 2 diabetes among patients with type 2 diabetes and their adult offspring. Diabetes Care, 30, 3033 – 3034.
dc.identifier.citedreferenceNishigaki, M., Sato, E., Ochiai, R., Shibayama, T., & Kazuma, K. ( 2011 ). Impact of a booklet about diabetes genetic susceptibility and its prevention on attitudes towards prevention and perceived behavioral change in patients with type 2 diabetes and their offspring. Advances in Preventive Medicine, 2011, 1 – 7.
dc.identifier.citedreferenceNishigaki, M., Tokunaga‐Nakawatase, Y., Nishida, J., & Kazuma, K. ( 2014 ). The effect of genetic counseling for adult offspring of patients with type 2 diabetes on attitudes toward diabetes and its heredity: a randomized controlled trial. Journal of Genetic Counseling, 23, 762 – 769.
dc.identifier.citedreferenceO’Daniel, J. M. ( 2010 ). The prospect of genome‐guided preventive medicine: a need and opportunity for genetic counselors. Journal of Genetic Counseling, 19, 315 – 327.
dc.identifier.citedreferenceProove Bioscience, Inc. ( 2015 ). A Study of the Impact of Genetic Testing on Clinical Decision Making and Patient Care (REVOLUTION). In: ClinicalTrials.gov. Bethesda (MD): ‐ [cited 2016 Feb 2]. Available from: http://clinicaltrials.gov/show/study/NCT02487888 NLM Identifier: NCT02487888.
dc.identifier.citedreferenceSchellenberg, E. S., Dryden, D. M., Vandermeer, B., Ha, C., & Korownyk, C. ( 2013 ). Lifestyle interventions for patients with and at risk for type 2 diabetes: a systematic review and meta‐analysis. Annals of Internal Medicine, 159, 543 – 551.
dc.identifier.citedreferenceTessaro, I., Smith, S. L., & Rye, S. ( 2005 ). Knowledge and perceptions of diabetes in an Appalachian population. Preventing Chronic Disease, 2 ( 2 ), 1 – 9.
dc.identifier.citedreferenceU.S. Department of Health and Human Services. ( 2008 ). 2008 Physical Activity Guidelines for Americans. (Report No. U0036). Retrieved from http://www.health.gov/paguidelines/pdf/paguide.pdf.
dc.identifier.citedreferenceVassy, J. L., Donelan, K., Hivert, M. F., Green, R. C., & Grant, R. W. ( 2013 ). Genetic susceptibility testing for chronic disease and intention for behavior change in healthy young adults. Journal of Community Genetics, 4, 263 – 271.
dc.identifier.citedreferenceVassy, J. L., O’Brien, K. E., Waxler, J. L., Park, E. R., Delahanty, L. M., Florez, J. C., Meigs, J. B., & Grant, R. W. ( 2012 ). Impact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing. Medical Decision Making, 32, 606 – 615.
dc.identifier.citedreferenceVoils, C. I., Coffman, C. J., Grubber, J., Edelman, D., Sadeghpour, A., Maciejewski, M. L., Bolton, J., Cho, A., Ginsburg, G. S., & Yancy Jr., W. S. ( 2015 ). Does type 2 diabetes genetic testing and counseling reduce modifiable risk factors? A randomized controlled trial of veterans. Journal of General Internal Medicine, 30, 1591 – 1598.
dc.identifier.citedreferenceWaxler, J. L., O’Brien, K. E., Delahanty, L. M., Meigs, J. B., Florez, J. C., Park, E. R., Pober, B. R., & Grant, R. W. ( 2012 ). Genetic counseling as a tool for type 2 diabetes prevention: a genetic counseling framework for common polygenetic disorders. Journal of Genetic Counseling, 21, 684 – 691.
dc.identifier.citedreferenceWebb, T. L., & Sheeran, P. ( 2006 ). Does changing behavioral intentions engender bahaviour change? A meta‐analysis of the experimental evidence. Psychological Bulletin, 132, 249 – 268.
dc.identifier.citedreferenceWHO Department of Health Statistics and Information Systems. ( 2013 ). Global health estimates summary tables: YLLs by cause, Age, and sex. In: GHE_YLL_Global_2000_2011.xls, editor. Geneva, Switzerland: World Health Organization.
dc.identifier.citedreferenceWright, C. F., & Kroese, M. ( 2009 ). Evaluation of genetic tests for susceptibility to common complex diseases: why, when and how? Human Genetics, 127, 125 – 134.
dc.identifier.citedreferenceYates, T., Davies, M., & Khunti, K. ( 2009 ). Preventing type 2 diabetes: Can we make the evidence work? Postgraduate Medicine Journal, 85, 475 – 480.
dc.identifier.citedreferenceKlitzman, R. L. ( 2010 ). Misunderstandings concerning genetics among patients confronting genetic disease. Journal of Genetic Counseling, 19, 430 – 446.
dc.identifier.citedreferenceAlmgren, P., Lehtovirta, M., Isomaa, B., Sarelin, L., Taskinen, M. R., Lyssenko, V., Tuomi, T., & Groop, L. ( 2011 ). Heritability and familiality of type 2 diabetes and related quantitative traits in the Botnia study. Diabetologia, 54, 2811 – 2819.
dc.identifier.citedreferenceAmerican Diabetes Association ( 2015 ). Standards of medical care in diabetes—2015. Diabetes Care, 38 ( Supplement 1 ), S5 – S7.
dc.identifier.citedreferenceBecker, F., van El, C. G., Ibarreta, D., Zika, E., Hogarth, S., Borry, P., Cambon‐Thomsen, A., Cassiman, J.J., Evers‐Kiebooms, G., Hodgson, S., Janssens, A.C., Kaariainen, H., Krawczak, M., Kristoffersson, U., Lubinski, J., Patch, C., Penchaszadeh, V.B., Read, A., Rogowski, W., Sequeiros, J., Tranebjaerg, L., van Langen, I.M., Wallace, H., Zimmern, R., Schmidtke, J., & Cornel, M.C. ( 2011 ). Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. Background document to the ESHG recommendations on genetic testing and common disorders. European Journal of Human Genetics, 19, S6 – S44.
dc.identifier.citedreferenceCameron, L. D., & Jago, L. ( 2008 ). Emotion regulation interventions: a common‐sense model approach. British Journal of Health Psychology, 13, 215 – 221.
dc.identifier.citedreferenceCardona‐Morrell, M., Rychetnik, L., Morrell, S. L., Espinel, P. T., & Bauman, A. ( 2010 ). Reduction of diabetes risk in routine clinical practice: are physical activity and nutrition interventions feasible and are the outcomes from reference trials replicable? A systematic review and meta‐analysis. BMC Public Health, 10 ( 653 ), 1 – 17.
dc.identifier.citedreferenceCentre d’Etudes et de Recherche pour l’Intensification du Traitement du Diabète. ( 2012 ). Validation of a Predictive Risk Equation for Type 2 Diabetes in Families With Risk (DESCENDANCE). In: ClinicalTrials.gov. Bethesda (MD): ‐ [cited 2016 Feb 2]. Available from: http://clinicaltrials.gov/show/study/NCT01727349 NLM Identifier: NCT01727349.
dc.identifier.citedreferenceChristensen, K. D., Jayaratne, T. E., Roberts, J. S., Kardia, S. L., & Petty, E. M. ( 2010 ). Understandings of basic genetics in the United States: results from a national survey of black and white men and women. Public Health Genomics, 13, 467 – 476.
dc.identifier.citedreferenceDavid Grant U.S. Air Force Medical Center, Duke University. ( 2013 ). Genetic risk and health coaching for type 2 diabetes and coronary heart disease. In: ClinicalTrials.gov. Bethesda (MD): ‐ [cited 2016 Feb 2]. Available from: https://clinicaltrials.gov/ct2/show/study/NCT01884545 NLM Identifier: NCT01884545.
dc.identifier.citedreferencede Miguel‐Yanes, J. M., Shrader, P., Pencina, M. J., Fox, C. S., Manning, A. K., Grant, R. W., Dupuis, J., Florez, J. C., D’Agostino, R. B., Cupples, L. A., & Meigs, J. B. ( 2011 ). Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms. Diabetes Care, 34, 121 – 125.
dc.identifier.citedreferenceGrant, R. W., Hivert, M., Pandiscio, J. C., Florez, J. C., Nathan, D. M., & Meigs, J. B. ( 2009 ). The clinical application of genetic testing in type 2 diabetes: a patient and physician survey. Diabetologia, 52, 2299 – 2305.
dc.identifier.citedreferenceGrant, R. W., O’Brien, K. E., Waxler, J. L., Vassy, J. L., Delahanty, L. M., Bissett, L. G., Green, R. C., Stember, K. G., Guiducci, C., Park, E. R., Florez, J. C., & Meigs, J. B. ( 2013 ). Personalized genetic risk counseling to motivate diabetes prevention: a randomized trial. Diabetes Care, 36, 13 – 19.
dc.identifier.citedreferenceHaga, S. B., Barry, W. T., Mills, R., Ginsburg, G. S., Svetkey, L., Sullivan, J., & Willard, H. F. ( 2013 ). Public knowledge of an attitudes toward genetics and genetic testing. Genetic Testing and Molecular Biomarkers, 17, 327 – 335.
dc.identifier.citedreferenceHsieh, H. F., & Shannon, S. E. ( 2005 ). Three approaches to qualitative content analysis. Qualitative Health Research, 15, 1277 – 1288.
dc.identifier.citedreferenceInternational Diabetes Federation. ( 2013 ). IDF Diabetes Atlas, 6th edn. Brussels, Belgium: International Diabetes Federation; Retrieved from: http://www.idf.org/diabetesatlas.
dc.identifier.citedreferenceKuczmarski, M. F., Kuczmarski, R. J., & Najjar, M. ( 2001 ). Effects of age on validity of self‐reported height, weight, and body mass index: findings from the third National Health and nutrition examination survey, 1988–1994. Journal of the American Dietetic Association, 101, 28 – 34.
dc.identifier.citedreferenceLanie, A. D., Jayaratne, T. E., Sheldon, J. P., Kardia, S. L., Anderson, E. S., Feldbaum, M., & Petty, E. M. ( 2004 ). Exploring the public understanding of basic genetic concepts. Journal of Genetic Counseling, 13, 305 – 320.
dc.identifier.citedreferenceLea, D. H., Kaphingst, K. A., Bowen, D., Lipkus, I., & Hadley, D. W. ( 2011 ). Communicating genetic and genomic information: health literacy and numeracy considerations. Public Health Genomics, 14, 279 – 289.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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