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Articles

A Research Agenda for Communication Scholars in the Precision Medicine Era

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References

  • Aakhus, M. (2007). Communication as design. Communication Monographs, 74(1), 112–117. doi:10.1080/03637750701196383
  • Adams, S. A., & Petersen, C. (2016). Precision medicine: Opportunities, possibilities, and challenges for patients and providers. Journal of the American Medical Informatics Association, 787–790. doi:10.1093/jamia/ocv215
  • Ancker, J. S., Senathirajah, Y., Kukafka, R., & Starren, J. B. (2006). Design features of graphs in health risk communication: A systematic review. Journal of the American Medical Informatics Association, 13(6), 608–618. doi:10.1197/jamia.M2115
  • Apker, J. (2012). Communication in health organizations. Cambridge, UK: Polity.
  • Aronson, S. J., & Rehm, H. L. (2015). Building the foundation for genomics in precision medicine. Nature, 526(7573), 336–342. doi:10.1038/nature15816
  • Atkin, C. K., & Smith, S. W. (2010). Improving communication practices to reduce breast cancer environmental risks. Health Communication, 25(6–7), 587–588. doi:10.1080/10410236.2010.496836
  • Barash, C. I., Elliston, K. O., Faucett, W. A., Hirsch, J., Naik, G., Rathjen, A., & Wood, G. (2015). Harnessing big data for precision medicine: A panel of experts elucidates the data challenges and proposes key strategic decisions points. Applied & Translational Genomics, 4, 10–13. doi:10.1016/j.atg.2015.02.002
  • Beckmann, J. S., & Lew, D. (2016). Reconciling evidence-based medicine and precision medicine in the era of big data: Challenges and opportunities. Genome Medicine, 8(1), 134. doi:10.1186/s13073-016-0388-7
  • Bodie, D., & Dutta, M. J. (2008). Understanding health literacy for strategic health marketing: EHealth literacy, health disparities, and the digital divide. Health Marketing Quarterly, 25(1–2), 175–203. doi:10.1080/07359680802126301
  • Budin-Ljøsne, I., Teare, H. J., Kaye, J., Beck, S., Bentzen, H. B., Caenazzo, L., … Finlay, T. (2017). Dynamic consent: A potential solution to some of the challenges of modern biomedical research. BMC Medical Ethics, 18(1), 4. doi:10.1186/s12910-016-0162-9
  • Bukvova, H. (2010). Studying research collaboration: A literature review. Sprouts: Working Papers on Information Systems, 10(3).
  • Cacchione, P. Z. (2016). Precision medicine an interprofessional science. Clinical Nursing Research, 25, 359–361. doi:10.1177/1054773816657905
  • Cameron, L. D., Marteau, T. M., Brown, P. M., Klein, W. M., & Sherman, K. A. (2011). Communication strategies for enhancing understanding of the behavioral implications of genetic and biomarker tests for disease risk: The role of coherence. Journal of Behavioral Medicine, 35(3), 286–298. doi:10.1007/s10865-011-9361-5
  • Clarkson, M. D. (2016, October). Communication training for scientists and engineers: A framework for highlighting principles common to written, oral, and visual communication. Paper presented at the Professional Communication Conference (IPCC), 2016 IEEE International, Austin, TX.
  • Clayton, M. F., & Ellington, L. (2011). Beyond primary care providers: A discussion of health communication roles and challenges for healthcare professionals and others. In T. L. Thompson, R. Parrott, & J. F. Nussbaum (Eds.), The routledge handbook of health communication. New York, NY: Routledge.
  • Clinical Sequencing Exploratory Research. (ND). Baylor Advancing Sequencing into Childhood Cancer Care. Retrieved from https://cser-consortium.org/projects/27
  • Cohn, E. G., Henderson, G. E., & Appelbaum, P. S. (2017). Distributive justice, diversity, and inclusion in precision medicine: What will success look like? Genetics in Medicine, 19(2), 157–159.
  • Collins, F. S. (2015). Exceptional opportunities in medical science: A view from the national institutes of health. Journal of the American Medical Association, 313(2), 131–132. doi:10.1001/jama.2014.16736
  • Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. The New England Journal of Medicine, 372(9), 793–795. doi:10.1056/NEJMp1500523
  • Cook-Deegan, R., & McGuire, A. L. (2017). Moving beyond Bermuda: Sharing data to build a medical information commons. Genome Research, Gr, 27, 897–901. 216911.216116 doi:10.1101/gr.216911.116
  • Cragun, D., Scherr, C. L., Camperlengo, L., Vadaparampil, S. T., & Pal, T. (2016). Evolution of hereditary breast cancer genetic services: Are changes reflected in the knowledge and clinical practices of Florida providers? Genetic Testing and Molecular Biomarkers, 20(10), 569–578. doi:10.1089/gtmb.2016.0113
  • Craig, D. W. (2015). Understanding the links between privacy and public data sharing. Nature Methods, 13(3), 211–212. doi:10.1038/nmeth.3779
  • Craig, R. T. (1999). Communication theory as a field. Communication Theory, 9(2), 119–161. doi:10.1111/comt.1999.9.issue-2
  • Dean, M., Scherr, C. L., Clements, M., Koruo, R., Martinez, J., & Ross, A. (2017). “When information is not enough”: A model for understanding BRCA-positive previvors’ information needs regarding hereditary breast and ovarian cancer risk. Patient Education and Counseling, 100, 1738–1743. doi:10.1016/j.pec.2017.03.013
  • Drabiak-Syed, K. (2010). Lessons from havasupai tribe v. Arizona state university board of regents: Recognizing group, cultural, and dignity harms as legitimate risks warranting integration into research practice. Journal of Health & Biomedical Law, 6, 175–225.
  • Dutta, M. (2007). Communicating about culture and health: Theorizing culture‐centered and cultural sensitivity approaches. Communication Theory, 17(3), 304–328. doi:10.1111/comt.2007.17.issue-3
  • Dutta, M., & Kreps, G. (2013). Reducing health disparities: Communication interventions. New York, NY: Peter Lang.
  • Edgar, T., & Volkman, J. E. (2012). Using communication theory for health promotion: Practical guidance on message design and strategy. Health Promotion Practice, 13(5), 587–590. doi:10.1177/1524839912450879
  • Ejiogu, N., Norbeck, J. H., Mason, M. A., Cromwell, B. C., Zonderman, A. B., & Evans, M. K. (2011). Recruitment and retention strategies for minority or poor clinical research participants: Lessons from the healthy aging in neighborhoods of diversity across the life span study. The Gerontologist, 51(suppl 1), S33–S45. doi:10.1093/geront/gnr027
  • Epstein, R. M., & Street, R. L., Jr. (2007). Patient-centered communication in cancer care: Promoting healing and reducing suffering (T099). Retrieved from https://pubs.cancer.gov/ncipl/detail.aspx?prodid=T099
  • Facio, F. M., Brooks, S., Loewenstein, J., Green, S., Biesecker, L. G., & Biesecker, B. B. (2011). Motivators for participation in a whole-genome sequencing study: Implications for translational genomics research. European Journal of Human Genetics, 19(12), 1213–1217. doi:10.1038/ejhg.2011.123
  • Fecteau, H., & Pal, T. (2015). Clinical considerations in the conduct of cancer next-generation sequencing testing and genetic counseling (Vol. 2, pp. 81–101). New York, NY: Springer.
  • Fleurence, R. L., Beal, A. C., Sheridan, S. E., Johnson, L. B., & Selby, J. V. (2014). Patient-powered research networks aim to improve patient care and health research. Health Affairs, 33(7), 1212–1219. doi:10.1377/hlthaff.2014.0113
  • Ford, L. A., & Yep, G. A. (2003). Working along the margins: Developing community-based strategies for communicating about health with marginalized groups. In T. L. Thompson, A. M. Dorsey, R. Parrott, & K. I. Miller (Eds.), Handbook of health communication (pp. 241–261). Mahwah, NJ. Erlbaum.
  • Fox, J. L. (2015). Obama catapults patient-empowered precision medicine. Nature Biotechnology, 33(4), 325–325. doi:10.1038/nbt0415-325
  • Freedman, L. S., Simon, R., Foulkes, M. A., Friedman, L., Geller, N. L., Gordon, D. J., & Mowery, R. (1995). Inclusion of women and minorities in clinical trials and the NIH revitalization act of 1993—The perspective of NIH clinical trialists. Controlled Clinical Trials, 16(5), 277–285. doi:10.1016/0197-2456(95)00048-8
  • Gamble, V. N. (1997). Under the shadow of Tuskegee: African Americans and health care. American Journal of Public Health, 87(11), 1773–1778. doi:10.2105/AJPH.87.11.1773
  • Ganesan, S., Rodriguez-Rodriguez, L., & DiPaola, R. S. (2016). Precision medicine: Implications for science and practice. Journal of the American College of Surgeons, 223(3), 433–439, e431. doi:10.1016/j.jamcollsurg.2016.05.020
  • Gymrek, M., McGuire, A. L., Golan, D., Halperin, E., & Erlich, Y. (2013). Identifying personal genomes by surname inference. Science, 339(6117), 321–324. doi:10.1126/science.1229566
  • Hamburg, M. A., & Collins, F. S. (2010). The path to personalized medicine. New England Journal of Medicine, 363(4), 301–304. doi:10.1056/NEJMp1006304
  • Hamilton, J. G., Abdiwahab, E., Edwards, H. M., Fang, M., Jdayani, A., & Breslau, E. S. (2017). Primary care providers’ cancer genetic testing-related knowledge, attitudes, and communication behaviors: A systematic review and research agenda. Journal of General Internal Medicine, 32(3), 315–324.
  • Hawgood, S., Hook-Barnard, I. G., O’Brien, T. C., & Yamamoto, K. R. (2015). Precision medicine: Beyond the inflection point. Science Translational Medicine, 7(300), 300ps317–300ps317. doi:10.1126/scitranslmed.aaa9970
  • Hedman-Phillips, E., & Barge, J. K. (2016). Facilitating team reflexivity about communication. Small Group Research, 48(3), 255–287. doi:10.1177/1046496416684962
  • Hesse, B. W., Ahern, D., & Beckjord, E. (2016). Oncology informatics: Using health information technology to improve processes and outcomes in cancer. San Diego, CA: Academic Press.
  • Hesse, B. W., Arora, N. K., & Khoury, M. J. (2012). Implications of internet availability of genomic information for public health practice. Public Health Genomics, 15(3–4), 201–208. doi:10.1159/000335892
  • Himes, D. O., Clayton, M. F., Donaldson, G. W., Ellington, L., Buys, S. S., & Kinney, A. Y. (2016). Breast cancer risk perceptions among relatives of women with uninformative negative BRCA1/2 test results: The moderating effect of the amount of shared information. Journal of Genetic Counseling, 25(2), 258–269. doi:10.1007/s10897-015-9866-0
  • Hodson, R. (2016). Precision medicine. Nature, 537(7619), S49–S49. doi:10.1038/537S49a
  • Iafrate, R. P., Lipori, G. P., Harle, C. A., Nelson, D. R., Barnash, T. J., Leebove, P. T., … Montgomery, D. (2016). Consent2Share: an integrated broad consenting process for re-contacting potential study subjects. Journal of Clinical and Translational Research, 2(4), 113–122.
  • Intille, S. (2016). The Precision Medicine Initiative and pervasive health research. IEEE Pervasive Computing, 15(1), 88–91. doi:10.1109/MPRV.2016.2
  • Jaffe, S. (2015). Planning for US precision medicine initiative underway. The Lancet, 385(9986), 2448–2449. doi:10.1016/S0140-6736(15)61124-2
  • Jain, A. K., Fennell, M. L., Chagpar, A. B., Connolly, H. K., & Nembhard, I. M. (2016). Moving toward improved teamwork in cancer care: The role of psychological safety in team communication. Journal of Oncology Practice, 12(11), 1000–1011. doi:10.1200/JOP.2016.013300
  • Jameson, J. L., & Longo, D. L. (2015). Precision medicine—Personalized, problematic, and promising. Obstetrical & Gynecological Survey, 70(10), 612–614. doi:10.1097/01.ogx.0000472121.21647.38
  • Jang, S., Yan, Z., & Lazor, J. (2016). Therapeutic drug monitoring: A patient management tool for precision medicine. Clinical Pharmacology & Therapeutics, 99(2), 148–150. doi:10.1002/cpt.298
  • Jensen, J. D. (2008). Scientific uncertainty in news coverage of cancer research: Effects of hedging on scientists’ and journalists’ credibility. Human Communication Research, 34(3), 347–369. doi:10.1111/hcre.2008.34.issue-3
  • Jensen, J. D., Pokharel, M., Scherr, C. L., King, A. J., Brown, N., & Jones, C. (2016). Communicating uncertain science to the public: How amount and source of uncertainty impact fatalism, backlash, and overload. Risk Analysis, 37(1), 40–51.
  • Kelley, M. S., Su, D., & Britigan, D. H. (2016). Disparities in health information access: Results of a county-wide survey and implications for health communication. Health Communication, 31(5), 575–582. doi:10.1080/10410236.2014.979976
  • Khoury, M. J., & Evans, J. P. (2015). A public health perspective on a national precision medicine cohort: Balancing long-term knowledge generation with early health benefit. Journal of the American Medical Association, 313(21), 2117–2118. doi:10.1001/jama.2015.3382
  • Khoury, M. J., Iademarco, M. F., & Riley, W. T. (2016). Precision public health for the era of precision medicine. American Journal of Preventive Medicine, 50(3), 398–401. doi:10.1016/j.amepre.2015.08.031
  • King, A. J., Jensen, J. D., Davis, L. A., & Carcioppolo, N. (2014). Perceived Visual Informativeness (PVI): Construct and scale development to assess visual information in printed materials. Journal of Health Communication, 19(10), 1099–1115. doi:10.1080/10810730.2013.878004
  • Kohane, I. S. (2015). Ten things we have to do to achieve precision medicine. Science, 349(6243), 37–38. doi:10.1126/science.aab1328
  • Konkel, L. (2015). Racial and ethnic disparities in research studies: The challenge of creating more diverse cohorts. Environmental Health Perspectives, 123(12), A297–A302. doi:10.1289/ehp.123-A297
  • Krieger, J. L., & Neil, J. M. (2016). Communication and recruitment to clinical research studies. Oxford Research Encyclopedia of Communication/Online. doi:10.1093/acrefore/9780190228613.013.73.
  • Krieger, J. L., Neil, J. M., Strekalova, Y. A., & Sarge, M. A. (2017). Linguistic strategies for improving informed consent in clinical trials among low health literacy patients. Journal of the National Cancer Institute, 109(3). doi:10.1093/jnci/djw233.
  • Krist, A. H., Beasley, J. W., Crosson, J. C., Kibbe, D. C., Klinkman, M. S., Lehmann, C. U., … Pace, W. D. (2014). Electronic health record functionality needed to better support primary care. Journal of the American Medical Informatics Association, 21(5), 764–771. doi:10.1136/amiajnl-2013-002229
  • Lanham, H. J., Leykum, L. K., & McDaniel, R. R. (2012). Same organization, same electronic health records (EHRs) system, different use: Exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting. Journal of the American Medical Informatics Association, 19(3), 382–391. doi:10.1136/amiajnl-2011-000263
  • Larson, E. A., & Wilke, R. A. (2015). Integration of genomics in primary care. American Journal of Medicine, 128(11), 1251.e1251–1255. doi:10.1016/j.amjmed.2015.05.011
  • Lauckner, C., Smith, S. W., Kotowski, M. R., Nazione, S., Stohl, C., Prestin, A., … Nabi, R. (2012). An initial investigation into naturally occurring loss-and gain-framed memorable breast cancer messages. Communication Quarterly, 60(1), 1–16. doi:10.1080/01463373.2012.642269
  • Lewis, K. L., Han, P. K. J., Hooker, G. W., Klein, W. M. P., Biesecker, L. G., & Biesecker, B. B. (2015). Characterizing participants in the clinseq genome sequencing cohort as early adopters of a new health technology. PLoS ONE, 10(7), e0132690. doi:10.1371/journal.pone.0132690
  • Libby, A. M., Cornfield, D. N., & Abman, S. H. (2016). There is no “I” in team: New challenges for career development in the era of team science. The Journal of Pediatrics, 177, 4–5. doi:10.1016/j.jpeds.2016.06.082
  • Linnenbringer, E., Roberts, J. S., Hiraki, S., Cupples, L. A., & Green, R. C. (2010). “I know what you told me, but this is what I think:” Perceived risk of Alzheimer disease among individuals who accurately recall their genetics-based risk estimate. Genetics in Medicine, 12(4), 219–227. doi:10.1097/GIM.0b013e3181cef9e1
  • Loud, J. T., Bremer, R. C., Mai, P. L., Peters, J. A., Giri, N., Stewart, D. R., … Savage, S. A. (2016). Research participant interest in primary, secondary, and incidental genomic findings. Genetics in Medicine, 18(12), 1218–1225. doi:10.1038/gim.2016.36
  • McGrath, S., & Ghersi, D. (2016). Building towards precision medicine: Empowering medical professionals for the next revolution. BMC Medical Genomics, 9(1), 23. doi:10.1186/s12920-016-0183-8
  • Mersha, T. B., & Abebe, T. (2015). Self-reported race/ethnicity in the age of genomic research: Its potential impact on understanding health disparities. Human Genomics, 9(1), 1. doi:10.1186/s40246-014-0023-x
  • Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. doi:10.1037/h0043158
  • Mirnezami, R., Nicholson, J., & Darzi, A. (2012). Preparing for precision medicine. New England Journal of Medicine, 366(6), 489–491. doi:10.1056/NEJMp1114866
  • Murphy, S. N., Weber, G., Mendis, M., Gainer, V., Chueh, H. C., Churchill, S., & Kohane, I. S. (2010). Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). Journal of the American Medical Informatics Association, 17(2), 124–130. doi:10.1136/jamia.2009.000893
  • National Institute of Environmental Health Sciences. (2016, June 15). Breast Cancer and the Environment Research Program. Retrieved from http://www.niehs.nih.gov/research/supported/centers/breast-cancer/index.cfm
  • National Institutes of Health. (2016a). Precision Medicine Initiative Cohort Program. Retrieved from https://www.nih.gov/precision-medicine-initiative-cohort-program
  • National Institutes of Health. (2016b). All of US Research Program: About the Precision Medicine Initiative. Retrieved from https://allofus.nih.gov/
  • National Research Council Committee on A Framework for Developing a New Taxonomy of Disease. (2011). Toward precision medicine: Building a knowledge network for biomedical research and a new taxonomy of disease. Washington, DC: National Academies Press .
  • NCI Press Release. (2014). Lung-MAP launches: First precision medicine trial from national clinical trials network [Press release]. Retrieved from https://www.cancer.gov/news-events/press-releases/2014/LungMAPlaunch
  • Niederdeppe, J. (2014). Conceptual, empirical, and practical issues in developing valid measures of public communication campaign exposure. Communication Methods and Measures, 8(2), 138–161. doi:10.1080/19312458.2014.903391
  • Niederdeppe, J., Roh, S., & Dreisbach, C. (2016). How narrative focus and a statistical map shape health policy support among state legislators. Health Communication, 31(2), 242–255. doi:10.1080/10410236.2014.998913
  • Noar, S. M. (2006). A 10-year retrospective of research in health mass media campaigns: Where do we go from here? Journal of Health Communication, 11(1), 21–42. doi:10.1080/10810730500461059
  • Noar, S. M. (2012). An Audience–Channel–Message–Evaluation (ACME) framework for health communication campaigns. Health Promotion Practice, 13(4), 481–488. doi:10.1177/1524839910386901
  • Ownby, R. L., Acevedo, A., Goodman, K., Caballero, J., & Waldrop-Valverde, D. (2015). Health literacy predicts participant understanding of orally-presented informed consent information. Clinical Research and Trials, 1(1), 15–19.
  • Parrott, R., & Kreuter, M. W. (2011). Multidisciplinary, interdisciplinary, and transdisciplinary approaches to health communication. In T. L. Thompson, R. Parrott, & J. F. Nussbaum (Eds.), The routledge handbook of health communication (2nd ed., pp. 3–17). New York, NY: Routledge.
  • Plon, S. E. (2015). Abtract ED02-04: Returning germline results to cancer patients. Molecular Cancer Therapeutics, 14(12 Supplement 2), ED02-04-ED02-04. doi:10.1158/1535-7163.TARG-15-ED02-04
  • Pokorska-Bocci, A., Stewart, A., Sagoo, G. S., Hall, A., Kroese, M., & Burton, H. (2014). ‘Personalized medicine’: What’s in a name? Personalized Medicine, 11(2), 197–210. doi:10.2217/pme.13.107
  • Real, K., & Pool, M. S. (2011). Health care teams: Communication and effectiveness. In T. L. Thompson, R. Parrott, & J. F. Nussbaum (Eds.), The routeledge handbook of health communication (2nd ed., pp. 100–116). New York, NY: Routledge.
  • Reddy, M. C., Paul, S. A., Abraham, J., McNeese, M., DeFlitch, C., & Yen, J. (2009). Challenges to effective crisis management: Using information and communication technologies to coordinate emergency medical services and emergency department teams. International Journal of Medical Informatics, 78(4), 259–269. doi:10.1016/j.ijmedinf.2008.08.003
  • Reyna, V. F. (2008). A theory of medical decision making and health: Fuzzy trace theory. Medical Decision Making, 28(6), 850–865. doi:10.1177/0272989X08327066
  • Rief, J. J., Hamm, M. E., Zickmund, S. L., Nikolajski, C., Lesky, D., Hess, R., … Roberts, M. S. (2017). Using health information technology to foster engagement: Patients’ experiences with an active patient health record. Health Communication, 32(3), 310–319. doi:10.1080/10410236.2016.1138378
  • Roden, D. M., & Denny, J. C. (2016). Integrating electronic health record genotype and phenotype datasets to transform patient care. Clinical Pharmacology & Therapeutics, 99(3), 298–305. doi:10.1002/cpt.321
  • Roden, D. M., & Tyndale, R. F. (2013). Genomic medicine, precision medicine, personalized medicine: What’s in a name? Clinical Pharmacology and Therapeutics, 94(2), 169–172. doi:10.1038/clpt.2013.101
  • Rowan, K. E. (1991). When simple language fails: Presenting difficult science to the public. Journal of Technical Writing and Communication, 21(4), 369–382. doi:10.2190/D3BD-32RC-FGW0-C5JB
  • Rowan, K. E. (1999). Effective explanation of uncertain and complex science. In S. M. Friedman, S. Dunwoody, & C. L. Rogers (Eds.), Communicating uncertainty: Media coverage of new and controversial science (pp. 210–224). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Sastry, S. (2016). Long distance truck drivers and the structural context of health: A culture-centered investigation of Indian truckers’ health narratives. Health Communication, 31(2), 230–241. doi:10.1080/10410236.2014.947466
  • Scherr, C. L., Christie, J., & Vadaparampil, S. T. (2016). Breast cancer survivors’ knowledge of hereditary breast and ovarian cancer following genetic counseling: An exploration of general and survivor-specific knowledge items. Public Health Genomics, 19(1), 1–10. doi:10.1159/000439162
  • Scherr, C. L., Lindor, N. M., Malo, T. L., Couch, F. J., & Vadaparampil, S. T. (2015a). A preliminary investigation of genetic counselors’ information needs when receiving a variant of uncertain significance result: A mixed methods study. Genetics in Medicine, 17(9), 739–746. doi:10.1038/gim.2014.185
  • Scherr, C. L., Lindor, N. M., Malo, T. L., Couch, F. J., & Vadaparampil, S. T. (2015b). Genetic counselors’ practices and confidence regarding variant of uncertain significance results and reclassification from BRCA testing. Clinical Genetics, 88(6), 523–529. doi:10.1111/cge.2015.88.issue-6
  • Schippers, M. C., Edmondson, A. C., & West, M. A. (2014). Team reflexivity as an antidote to team information-processing failures. Small Group Research, 45(6), 731–769. doi:10.1177/1046496414553473
  • Shneiderman, B., Plaisant, C., & Hesse, B. W. (2013). Improving healthcare with interactive visualization. Computer, 46(5), 58–66.
  • Scollon, S., Bergstrom, K., Kerstein, R. A., Wang, T., Hilsenbeck, S. G., Ramamurthy, U., … Parsons, D. W. (2014). Obtaining informed consent for clinical tumor and germline exome sequencing of newly diagnosed childhood cancer patients. Genome Medicine, 6(9), 69. doi:10.1186/s13073-014-0069-3
  • Selker, H. P., & Wilkins, C. H. (2017). From community engagement, to community-engaged research, to broadly engeged team science. Journal of Clinical and Translational Science, 1, 5–6. doi:10.1017/cts.2017.1
  • Sharf, B. F., Haidet, P., & Kroll, T. L. (2005). I want you to put me in the grave with all my limbs: The meaning of active health participation. In E. B. Ray (Ed.), Health communication in practice. A case study approach (pp. 39–51). Mahway, NJ: Lawrence Erlbaum Associates.
  • Silk, K. J., Nazione, S., Neuberger, L., Smith, S. W., & Atkin, C. K. (2012). Investigating the impact of message format, involvement, scientific literacy, and education on attitude toward reducing cancer risk through regulation. Journal of Cancer Education, 27(1), 172–178. doi:10.1007/s13187-011-0287-y
  • Silk, K. J., Perrault, E. K., Neuberger, L., Rogers, A., Atkin, C. K., Barlow, J., & Duncan, D. M. (2014). Translating and testing breast cancer risk reduction messages for mothers of adolescent girls. Journal of Health Communication, 19(2), 226–243. doi:10.1080/10810730.2013.811322
  • Silk, K. J., & Smith, S. W. (2015). Organizing transdisciplinary research. New York, NY: Routledge.
  • Slade, I., & Burton, H. (2016). Preparing clinicians for genomic medicine. Postgraduate Medical Journal, 92, 369–371. doi:10.1136/postgradmedj-2016-133962
  • Slovic, P., Peters, E., Finucane, M. L., & MacGregor, D. G. (2005). Affect, risk, and decision making. Health Psychology, 24(4S), S35. doi:10.1037/0278-6133.24.4.S35
  • Smith, S. W., Hamel, L. M., Kotowski, M. R., Nazione, S., LaPlante, C., Atkin, C. K., … Skubisz, C. (2010). Action tendency emotions evoked by memorable breast cancer messages and their association with prevention and detection behaviors. Health Communication, 25(8), 737–746. doi:10.1080/10410236.2010.521916
  • Smith, S. W., Hitt, R., Nazione, S., Russell, J., Silk, K. J., & Atkin, C. K. (2013). The effects of heuristic cues, motivation, and ability on systematic processing of information about breast cancer environmental factors. Journal of Health Communication, 18(7), 845–865. doi:10.1080/10810730.2013.768722
  • Stamatakis, K. A., McBride, T. D., & Brownson, R. C. (2010). Communicating prevention messages to policy makers: The role of stories in promoting physical activity. Journal of Physical Activity and Health, 7(s1), S99–S107. doi:10.1123/jpah.7.s1.s99
  • Stokols, D., Misra, S., Moser, R. P., Hall, K. L., & Taylor, B. K. (2008). The ecology of team science: Understanding contextual influences on transdisciplinary collaboration. American Journal of Preventive Medicine, 35(2), S96–S115. doi:10.1016/j.amepre.2008.05.003
  • Street, R. L. (2013). How clinician–patient communication contributes to health improvement: Modeling pathways from talk to outcome. Patient Education and Counseling, 92(3), 286–291. doi:10.1016/j.pec.2013.05.004
  • Street, R. L., Jr, Gordon, H. S., Ward, M. M., Krupat, E., & Kravitz, R. L. (2005). Patient participation in medical consultations: Why some patients are more involved than others. Medical Care, 43(10), 960–969. doi:10.1097/01.mlr.0000178172.40344.70
  • Treise, D., Baralt, C., Birnbrauer, K., Krieger, J. L., & Neil, J. (2016). Establishing the need for health communication research: Best practices model for building transdisciplinary collaborations. Journal of Applied Communication Research, 44(2), 194–198. doi:10.1080/00909882.2016.1155729
  • Trevena, L. J., Zikmund-Fisher, B. J., Edwards, A., Gaissmaier, W., Galesic, M., Han, P. K., … Lipkus, I. (2013). Presenting quantitative information about decision outcomes: A risk communication primer for patient decision aid developers. BMC Medical Informatics and Decision Making, 13(2), S7. doi:10.1186/1472-6947-13-S2-S7
  • Viswanath, K., & Ackerson, L. K. (2011). Race, ethnicity, language, social class, and health communication inequalities: A nationally-representative cross-sectional study. PLoS ONE, 6(1), e14550. doi:10.1371/journal.pone.0014550
  • Vorderstrasse, A. A., Hammer, M. J., & Dungan, J. R. (2014). Nursing implications of personalized and precision medicine. Paper presented at the Seminars in Oncology Nursing. 10.1016/j.soncn.2014.03.007
  • Vorderstrasse, A. A., Katsanis, S. H., Minear, M. A., Yang, N., Rakhra-Burris, T., Reeves, J. W., … Simmons, L. A. (2015). Perceptions of personalized medicine in an academic health system: Educational findings. Journal of Contemporary Medical Education, 3(1), 14. doi:10.5455/jcme.20150408050414
  • Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (2005). Organizing and the process of sensemaking. Organization Science, 16(4), 409–421. doi:10.1287/orsc.1050.0133
  • Wendler, D., Kington, R., Madans, J., Van Wye, G., Christ-Schmidt, H., Pratt, L. A., … Emanuel, E. (2005). Are racial and ethnic minorities less willing to participate in health research? PLoS Medicine, 3(2), e19. doi:10.1371/journal.pmed.0030019
  • The White House. (2015). FACT SHEET: President Obama’s Precision Medicine Initiative. Retrieved from http://www.whitehouse.gov/the-press-office/2015/01/30/fact-sheet-president-obama-s-precision-medicine-initiative
  • Whitten, P., Nazione, S., Smith, S. W., & LaPlante, C. (2011). An examination into audience targeting and the use of storytelling or statistical evidence on breast cancer websites. Patient Education and Counseling, 85(2), e59–e64. doi:10.1016/j.pec.2011.01.008
  • Williams, J. K., Katapodi, M. C., Starkweather, A., Badzek, L., Cashion, A. K., Coleman, B., … Hickey, K. T. (2016). Advanced nursing practice and research contributions to precision medicine. Nursing Outlook, 64(2), 117–123. doi:10.1016/j.outlook.2015.11.009
  • Yzer, M., LoRusso, S., & Nagler, R. H. (2015). On the conceptual ambiguity surrounding perceived message effectiveness. Health Communication, 30(2), 125–134. doi:10.1080/10410236.2014.974131

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