|Grant Number:||5P50CA101451-10 Interpret this number|
|Primary Investigator:||Strecher, Victor|
|Organization:||University Of Michigan|
|Project Title:||Michigan Center for Health Communications Research II|
Research on tailoring for health-related behaviors and decision-making has increased dramatically since the early 1990's. Results from numerous randomized trials suggest that tailored communications for cancer prevention and control have a greater influence on behavioral and decision making outcomes than one-size-fits-all approaches. Until recently, however, we had little understanding of why tailored communications influenced behavior, or which components of these communications were effective. CECCR1 funding helped us to organize a concerted interdisciplinary effort to open the "black box" of health communications interventions, which led to identifying a broad array of psychosocial and communications components relevant to health behavior change and decision making. We also identified important individual characteristics that moderate the impact of health communications messages. Results from several of these studies have already been published, and are leading to significant new research funding and a new generation of health communications investigators. Moreover, CECCR1 results are also being adopted in health care, employer, pharmaceutical, and government settings of the U.S. and other parts of the world. The overarching aims of CECCR2 are to: (1) Extend our tailoring research beyond the prevention area to the broader cancer care continuum, including early detection, treatment, and long-term survival; (2) Extend our tailoring research to new clinical and post-treatment settings; (3) Deepen our understanding of the key psychosocial and communications components identified in CECCR1, including motivation, ethnic identity, risk perception, and cognitive processing; (4) Explore methods of tailoring to patient preferences for shared decision making; (5) Develop new social and cognitive neuroscience strategies for identifying immediate impact and mechanisms of health communications messages; (6) Develop new interdisciplinary collaborations with scientists and research institutions; (7) Train a new generation of health communications scientists and practitioners; and (8) Disseminate both the scientific and practical results of our research efforts. Woven through CECCR2 research are crosscutting interests related to: tailoring and relevant communications channels; reaching underserved populations through more relevant and easier-to-process content; physiological mechanisms of communication effect; and methodological issues of design, data collection, and measurement. CECCR2 involves four primary research sites and networks, and collaborations with 34 research investigators from 13 institutions. Because of the ambitious scope of our proposed studies, we have obtained over $10 million in matched funding from other sources to help us carry out the proposed research.
Informed choice about breast cancer prevention: randomized controlled trial of an online decision aid intervention.
Authors: Korfage IJ, Fuhrel-Forbis A, Ubel PA, Zikmund-Fisher BJ, Greene SM, McClure JB, Smith DM, Alford SH, Fagerlin A
Source: Breast Cancer Res, 2013;15(5), p. R74.
Pedometer-based internet-mediated intervention for adults with chronic low back pain: randomized controlled trial.
Authors: Krein SL, Kadri R, Hughes M, Kerr EA, Piette JD, Holleman R, Kim HM, Richardson CR
Source: J Med Internet Res, 2013 Aug 19;15(8), p. e181.
EPub date: 2013 Aug 19.
Results from a randomized trial of a web-based, tailored decision aid for women at high risk for breast cancer.
Authors: Banegas MP, McClure JB, Barlow WE, Ubel PA, Smith DM, Zikmund-Fisher BJ, Greene SM, Fagerlin A
Source: Patient Educ Couns, 2013 Jun;91(3), p. 364-71.
EPub date: 2013 Feb 8.
Breast cancer anxiety's associations with responses to a chemoprevention decision aid.
Authors: Dillard AJ, Scherer L, Ubel PA, Smith DM, Zikmund-Fisher BJ, McClure JB, Greene S, Stark A, Fagerlin A
Source: Soc Sci Med, 2013 Jan;77, p. 13-9.
EPub date: 2012 Nov 2.
Impulsivity and inhibitory control deficits are associated with unhealthy eating in young adults.
Authors: Jasinska AJ, Yasuda M, Burant CF, Gregor N, Khatri S, Sweet M, Falk EB
Source: Appetite, 2012 Dec;59(3), p. 738-47.
EPub date: 2012 Aug 8.
In a survey, marked inconsistency in how oncologists judged value of high-cost cancer drugs in relation to gains in survival.
Authors: Ubel PA, Berry SR, Nadler E, Bell CM, Kozminski MA, Palmer JA, Evans WK, Strevel EL, Neumann PJ
Source: Health Aff (Millwood), 2012 Apr;31(4), p. 709-17.
Helping patients decide: ten steps to better risk communication.
Authors: Fagerlin A, Zikmund-Fisher BJ, Ubel PA
Source: J Natl Cancer Inst, 2011 Oct 5;103(19), p. 1436-43.
EPub date: 2011 Sep 19.
Survey Response Styles, Acculturation, and Culture Among a Sample of Mexican American Adults.
Authors: Davis RE, Resnicow K, Couper MP
Source: J Cross Cult Psychol, 2011 Oct 1;42(7), p. 1219-1236.
Creating a knowledge translation trainee collaborative: from conceptualization to lessons learned in the first year.
Authors: Cornelissen E, Urquhart R, Chan VW, Deforge RT, Colquhoun HL, Sibbald S, Witteman H
Source: Implement Sci, 2011 Aug 25;6, p. 98.
EPub date: 2011 Aug 25.
A web-based pedometer programme in women with a recent history of gestational diabetes.
Authors: Kim C, Draska M, Hess ML, Wilson EJ, Richardson CR
Source: Diabet Med, 2012 Feb;29(2), p. 278-83.
Comparison of hemoglobin A1c with fasting plasma glucose and 2-h postchallenge glucose for risk stratification among women with recent gestational diabetes mellitus.
Authors: Kim C, Herman WH, Cheung NW, Gunderson EP, Richardson C
Source: Diabetes Care, 2011 Sep;34(9), p. 1949-51.
EPub date: 2011 Jul 12.
Associations between glucose tolerance and sex hormone binding globulin among women with recent gestational diabetes mellitus.
Authors: Kim C, Sen A, Osborne E, Lee JM, Richardson CR
Source: Diabetes Res Clin Pract, 2011 Sep;93(3), p. e110-2.
EPub date: 2011 Jun 28.
Integrating an internet-mediated walking program into family medicine clinical practice: a pilot feasibility study.
Authors: Goodrich DE, Buis LR, Janney AW, Ditty MD, Krause CW, Zheng K, Sen A, Strecher VJ, Hess ML, Piette JD, Richardson CR
Source: BMC Med Inform Decis Mak, 2011 Jun 24;11, p. 47.
EPub date: 2011 Jun 24.
The distinct role of comparative risk perceptions in a breast cancer prevention program.
Authors: Dillard AJ, Ubel PA, Smith DM, Zikmund-Fisher BJ, Nair V, Derry HA, Zhang A, Pitsch RK, Alford SH, McClure JB, Fagerlin A
Source: Ann Behav Med, 2011 Oct;42(2), p. 262-8.
Women's interest in taking tamoxifen and raloxifene for breast cancer prevention: response to a tailored decision aid.
Authors: Fagerlin A, Dillard AJ, Smith DM, Zikmund-Fisher BJ, Pitsch R, McClure JB, Greene S, Alford SH, Nair V, Hayes DF, Wiese C, Ubel PA
Source: Breast Cancer Res Treat, 2011 Jun;127(3), p. 681-8.
EPub date: 2011 Mar 26.
Pushing the envelope for cultural appropriateness: does evidence support cultural tailoring in type 2 diabetes interventions for Mexican American adults?
Authors: Davis RE, Peterson KE, Rothschild SK, Resnicow K
Source: Diabetes Educ, 2011 Mar-Apr;37(2), p. 227-38.
EPub date: 2011 Feb 22.
Clinical trial awareness among racial/ethnic minorities in HINTS 2007: sociodemographic, attitudinal, and knowledge correlates.
Authors: Langford A, Resnicow K, An L
Source: J Health Commun, 2010;15 Suppl 3, p. 92-101.
Adding an online community to an internet-mediated walking program. Part 2: strategies for encouraging community participation.
Authors: Resnick PJ, Janney AW, Buis LR, Richardson CR
Source: J Med Internet Res, 2010 Dec 17;12(4), p. e72.
EPub date: 2010 Dec 17.
An online community improves adherence in an internet-mediated walking program. Part 1: results of a randomized controlled trial.
Authors: Richardson CR, Buis LR, Janney AW, Goodrich DE, Sen A, Hess ML, Mehari KS, Fortlage LA, Resnick PJ, Zikmund-Fisher BJ, Strecher VJ, Piette JD
Source: J Med Internet Res, 2010 Dec 17;12(4), p. e71.
EPub date: 2010 Dec 17.
Engagement and retention: measuring breadth and depth of participant use of an online intervention.
Authors: Couper MP, Alexander GL, Zhang N, Little RJ, Maddy N, Nowak MA, McClure JB, Calvi JJ, Rolnick SJ, Stopponi MA, Cole Johnson C
Source: J Med Internet Res, 2010 Nov 18;12(4), p. e52.
EPub date: 2010 Nov 18.
Risky feelings: why a 6% risk of cancer does not always feel like 6%.
Authors: Zikmund-Fisher BJ, Fagerlin A, Ubel PA
Source: Patient Educ Couns, 2010 Dec;81 Suppl, p. S87-93.
EPub date: 2010 Aug 23.
A new audience segmentation tool for African Americans: the black identity classification scale.
Authors: Davis RE, Alexander G, Calvi J, Wiese C, Greene S, Nowak M, Cross WE Jr, Resnicow K
Source: J Health Commun, 2010 Jul;15(5), p. 532-54.
Do-not-resuscitate orders and predictive models after intracerebral hemorrhage.
Authors: Zahuranec DB, Morgenstern LB, Sánchez BN, Resnicow K, White DB, Hemphill JC 3rd
Source: Neurology, 2010 Aug 17;75(7), p. 626-33.
EPub date: 2010 Jul 7.
Ethnic Identity predicts loss-to-follow-up in a health promotion trial.
Authors: Langford AT, Resnicow K, Davis RE, Alexander GL, Calvi J, Weise C, Tolsma D
Source: Contemp Clin Trials, 2010 Sep;31(5), p. 414-8.
EPub date: 2010 Jul 1.
Narratives that address affective forecasting errors reduce perceived barriers to colorectal cancer screening.
Authors: Dillard AJ, Fagerlin A, Dal Cin S, Zikmund-Fisher BJ, Ubel PA
Source: Soc Sci Med, 2010 Jul;71(1), p. 45-52.
EPub date: 2010 Mar 21.
A demonstration of ''less can be more'' in risk graphics.
Authors: Zikmund-Fisher BJ, Fagerlin A, Ubel PA
Source: Med Decis Making, 2010 Nov-Dec;30(6), p. 661-71.
EPub date: 2010 Apr 7.
Testing whether decision aids introduce cognitive biases: results of a randomized trial.
Authors: Ubel PA, Smith DM, Zikmund-Fisher BJ, Derry HA, McClure J, Stark A, Wiese C, Greene S, Jankovic A, Fagerlin A
Source: Patient Educ Couns, 2010 Aug;80(2), p. 158-63.
EPub date: 2009 Dec 9.
Women's decisions regarding tamoxifen for breast cancer prevention: responses to a tailored decision aid.
Authors: Fagerlin A, Zikmund-Fisher BJ, Nair V, Derry HA, McClure JB, Greene S, Stark A, Hensley Alford S, Lantz P, Hayes DF, Wiese C, Claud Zweig S, Pitsch R, Jankovic A, Ubel PA
Source: Breast Cancer Res Treat, 2010 Feb;119(3), p. 613-20.
Interviewer effects in public health surveys.
Authors: Davis RE, Couper MP, Janz NK, Caldwell CH, Resnicow K
Source: Health Educ Res, 2010 Feb;25(1), p. 14-26.
EPub date: 2009 Sep 17.
Barriers encountered during enrollment in an internet-mediated randomized controlled trial.
Authors: Buis LR, Janney AW, Hess ML, Culver SA, Richardson CR
Source: Trials, 2009 Aug 23;10, p. 76.
EPub date: 2009 Aug 23.
Inference for non-regular parameters in optimal dynamic treatment regimes.
Authors: Chakraborty B, Murphy S, Strecher V
Source: Stat Methods Med Res, 2010 Jun;19(3), p. 317-43.
EPub date: 2009 Jul 16.