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83 - Communicating Risk

from Theme 3: - Communication

Published online by Cambridge University Press:  05 June 2019

Carrie D. Llewellyn
Affiliation:
University of Sussex
Susan Ayers
Affiliation:
City, University of London
Chris McManus
Affiliation:
University College London
Stanton Newman
Affiliation:
City, University of London
Keith J. Petrie
Affiliation:
University of Auckland
Tracey A. Revenson
Affiliation:
City University of New York
John Weinman
Affiliation:
King's College London
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Publisher: Cambridge University Press
Print publication year: 2019

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References

Axworthy, D., Brock, D. J., Bobrow, M. & Marteau, T. M. (1996). Psychological impact of population-based carrier testing for cystic fibrosis: 3-year follow-up. Lancet, 347, 14431446.Google Scholar
Bekker, H., Thornton, J. G., Airey, C. M., et al. (1999). Informed decision making: an annotated bibliography and systematic review. Health Technology Assessment, 3(1).Google Scholar
Biesecker, B. B., Schwartz, M. D. & Marteau, T. M. (2013). Enhancing informed choice to undergo health screening: a systematic review. American Journal of Health Behavior, 37, 351359.CrossRefGoogle ScholarPubMed
Bishop, G. D. (1991). Understanding the understanding of illness. In Skelton, J. A. & Croyle, R. T. (eds), Mental Representation in Health and Illness (pp. 3259). New York: Springer-Verlag.Google Scholar
Cameron, L. D. (2008). Illness risk representations and motivations to engage in protective behavior: the case of skin cancer risk. Psychology and Health, 23, 91112.Google Scholar
Christensen, A. J., Moran, P. J., Ehlers, S. L., et al. (1999). Smoking and drinking behavior in patients with head and neck cancer: effects of behavioral self-blame and perceived control. Journal of Behavioral Medicine, 22, 407418.Google Scholar
Dijkstra, A. & deVries, H. (2000). Self-efficacy expectations with regard to different tasks in smoking cessation. Psychology and Health, 15, 501511.CrossRefGoogle Scholar
Duckworth, F. C. (2015). A one-dimensional scale to compare risks from exposure to various hazards. Safety and Reliability, 35, 518.Google Scholar
Edwards, A. G. K., Elwyn, G. J., Mathews, E. & Pill, R. (2001). Presenting risk information: a review of the effects of ‘framing’ and other manipulations on patient outcomes. Journal of Health Communication, 6, 6162.Google ScholarPubMed
Forbes, L. J. L. & Ramirez, A. J. (2014). Communicating the benefits and harms of cancer screening. Current Oncology Reports, 16: 382.Google Scholar
French, D. P. & Marteau, T. M. (2007). Communicating risk. In Ayers, S., Baum, A., McManus, C., et al. (eds), Cambridge Handbook of Psychology, Health and Medicine (2nd edn; pp 431435). Cambridge: Cambridge University Press.Google Scholar
French, D. P., Maissi, E. & Marteau, T. M. (2004). Psychological costs of inadequate cervical smear test results. British Journal of Cancer, 91, 18871892.Google Scholar
French, D. P., Maissi, E. & Marteau, T. M. (2006). The psychological costs of inadequate cervical smear test results: three-month follow-up. Psycho-Oncology, 15, 498508.Google Scholar
French, D. P., Olander, E. K., Chisholm, A. & McSharry, J. (2014). Which behaviour change techniques are most effective at increasing older adults’ self-efficacy and physical activity behaviour? A systematic review. Annals of Behavioral Medicine, 48, 225234.Google Scholar
French, D. P., Scott, S. E. & Powell, R. (2018). Promoting early detection and screening for disease. In Fisher, E. B., Cameron, L. D., Christensen, A. J., et al. (eds), Principles and Concepts of Behavioral Medicine: A Global Handbook. New York: Springer.Google Scholar
Hall, S., Weinman, J. & Marteau, T. M. (2004). The motivating impact of informing women smokers of a link between smoking and cervical cancer: the role of coherence. Health Psychology, 23, 419424.Google Scholar
Hoffrage, U., Lindsey, S., Hertwig, R. & Gigerenzer, G. (2000). Communicating statistical information. Science, 290, 22612262.Google Scholar
Hoffrage, U., Gigerenzer, G., Krauss, S. & Martignon, L. (2002). Representation facilitates reasoning: what natural frequencies are and what they are not. Cognition, 84, 343352.Google Scholar
Hollands, G. J., Hankins, M. & Marteau, T. M. (2010). Visual feedback of individuals’ medical imaging results for changing health behaviour. Cochrane Database of Systematic Reviews, 1, CD007434.Google Scholar
Hollands, G. J., French, D. P., Griffin, S. J., et al. (2016). The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis. BMJ, 325, i1102.Google Scholar
Klein, W. M. (1997). Objective standards are not enough: affective, self-evaluative, and behavioral responses to social cognition information. Journal of Personality and Social Psychology, 72, 763774.Google Scholar
Lawson, K. L. (2001). Contemplating selective reproduction: the subjective appraisal of parenting a child with a disability. Journal of Reproductive and Infant Psychology, 19, 7382.Google Scholar
Leventhal, H. (1970). Findings and theory in the study of fear communications. Advances in Experimental Social Psychology, 5, 119186.Google Scholar
Leventhal, H., Benyamini, Y., Brownlee, S., et al. (1997). Illness representations: theoretical foundations. In: Petrie, K. J. & Weinman, J. A. (eds), Perceptions of Health and Illness: Current Research and Applications (pp. 1945). Amsterdam: Harwood Academic.Google Scholar
Lichtenstein, S., Slovic, P., Fischhoff, B., Layman, M. & Combs, B. (1978). Judged frequency of lethal events. Journal of Experimental Psychology: Human Learning and Memory, 4, 551578.Google Scholar
Lipkus, I. M., Samsa, G. & Rimer, B. K. (2001). General performance on a numeracy scale among highly educated samples. Medical Decision Making, 21, 3744.Google Scholar
Lippman-Hand, A. & Fraser, F. C. (1979). Genetic counseling: provision and reception of information. American Journal of Medical Genetics, 3, 113127.Google Scholar
Marteau, T. M. & Kinmonth, A. L. (2002). Screening for cardiovascular risk: public health imperative or matter for individual informed choice? BMJ, 325, 7880.Google Scholar
Marteau, T. M., Kinmonth, A. L., Thompson, S. & Pyke, S. (1996). The psychological impact of cardiovascular screening and intervention in primary care: a problem of false reassurance? British Journal of General Practice, 46, 577582.Google Scholar
Marteau, T. M., Senior, V. & Sasieni, P. (2001). Women’s understanding of a ‘normal smear test result’: experimental questionnaire based study. BMJ, 322, 526528.Google Scholar
Marteau, T. M., Rana, S. & Kubba, A. (2002). Smoking and cervical cancer: a qualitative study of the explanatory models of smokers with cervical abnormalities. Psychology, Health and Medicine, 7, 107109.Google Scholar
Marteau, T. M., Hollands, G. J. & Fletcher, P. C. (2012). Changing human behavior to prevent disease: the importance of targeting automatic processes. Science, 337, 14921495.Google Scholar
NICE (2014). Behaviour Change: Individual Approaches. London: National Institute of Health and Care Excellence.Google Scholar
O’Connor, A. M., Legare, F. & Stacey, D. (2003). Risk communication in practice: the contribution of decision aids. BMJ, 327, 736740.CrossRefGoogle ScholarPubMed
Reyna, V. F. & Brainerd, C. J. (1991). Fuzzy-trace theory and framing effects in choice: gist extraction, truncation, and conversion. Journal of Behavioral Decision Making, 4, 249262.Google Scholar
Roth, E., Morgan, M. G., Fischhoff, B., Lave, L. & Bostrom, A. (1990). What do we know about making risk comparisons? Risk Analysis, 10, 375380.Google Scholar
Rothman, A. J. & Kiviniemi, M. T. (1999). Treating people with information: an analysis and review of approaches to communicating health risk information. Journal of the National Cancer Institute Monographs, 25, 4451.Google Scholar
Schwartz, L. M., Woloshin, S., Black, W. C. & Welch, G. H. (1997). The role of numeracy in understanding the benefit of screening mammography. Annals of Internal Medicine, 127, 966971.Google Scholar
Sheeran, P., Harris, P. R. & Epton, T. (2014). Does heightening risk appraisals change people’s intentions and behavior? A meta-analysis of experimental studies. Psychological Bulletin, 140, 511543.Google Scholar
Spiegelhalter, D. (2012). Using speed of ageing and ‘microlives’ to communicate the effects of lifetime habits and environment. BMJ, 345: e8223.Google Scholar
Stacey, D., Légaré, F., Col, N. F., et al. (2014). Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews, 1, CD001431.Google Scholar
Tannenbaum, M. B., Hepler, J., Zimmerman, R. S. et al. (2015). Appealing to fear: a meta-analysis of fear appeal effectiveness and theories. Psychological Bulletin, 141(6), 11781204.Google Scholar
Trevena, L. J., Zikmund-Fisher, B. J., Edwards, A., et al. (2013) Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers. BMC Medical Informatics and Decision Making, 13, 115.Google Scholar
Weinstein, N. D. (1998). Accuracy of smokers’ risk perceptions. Annals of Behavioral Medicine, 20, 135140.Google Scholar
Weinstein, N. D. (1999). What does it mean to understand a risk? Evaluating risk communication. Journal of the National Cancer Institute Monographs, 25, 1520.Google Scholar
Weinstein, N. D., Slovic, P., Waters, E. & Gibson, G. (2004). Public understanding of the illnesses caused by cigarette smoking. Nicotine and Tobacco Research, 6, 349355.Google Scholar

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