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20 - Moving from Theoretical Principles to Intervention Strategies: Applying the Experimental Medicine Approach

from Part II - Methods and Processes of Behavior Change: Intervention Development, Application, and Translation

Published online by Cambridge University Press:  04 July 2020

Martin S. Hagger
Affiliation:
University of California, Merced
Linda D. Cameron
Affiliation:
University of California, Merced
Kyra Hamilton
Affiliation:
Griffith University
Nelli Hankonen
Affiliation:
University of Helsinki
Taru Lintunen
Affiliation:
University of Jyväskylä
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Summary

Efforts to address the major health, environmental, and social threats that can be found across the globe rely on changes in human behavior. Yet identifying effective and efficient ways to change behavior remains a vexing challenge. To meet this need, investigators need to design and evaluate behavioral intervention strategies in a manner that affords the creation of evidence-based guidelines that specify not only whether interventions work but also how and under what conditions. In this chapter, the design and testing of interventions are situated within the experimental medicine approach. This approach leverages the strength of the experimental method to test how behavior change intervention strategies work and to identify the conditions under which they operate effectively. Moreover, it organizes how investigators specify the questions that underlie the study of behavior change interventions and requires them to articulate precisely what intervention strategy they are using, how they think the strategy operates, and the outcomes it generates. Through the systematic use of this approach, evidence will emerge that addresses practitioners’ prevailing concerns directly – what intervention strategy is the most effective and efficient way to address the problem at hand. This chapter provides an overview of how to implement the experimental medicine approach, describes its key features, and addresses the importance of precision and, finally, considers this approach within a broader set of initiatives that have emerged to support a programmatic approach to the design, evaluation, and implementation of behavior change interventions.

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Publisher: Cambridge University Press
Print publication year: 2020

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References

Abraham, C., & Michie, S. (2008). A taxonomy of behavior change techniques used in interventions. Health Psychology, 27, 379387. https://doi.org/10.1037/0278-6133.27.3.379Google Scholar
Adams, M. L., Grandpre, J., Katz, D. L., & Shenson, D. (2019). The impact of key modifiable risk factors on chronic conditions. Preventive Medicine, 120, 113118. https://doi.org/10.1016/j.ypmed.2019.01.006Google Scholar
Bauer, U. E., Briss, P. A., Goodman, R. A., & Bowman, B. A. (2014). Prevention of chronic disease in the 21st century: Elimination of the leading preventable causes of premature death and disability in the USA. The Lancet, 284, 4552. https://doi.org/10.1016/S0140-6736(14)60648-6CrossRefGoogle Scholar
Bernard, C. (1957). An Introduction to the Study of Experimental Medicine. New York: Dover Publications. (Originally published in 1865.)Google Scholar
Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26, 136145. https://doi.org/10.1037/0278-6133.26.2.136CrossRefGoogle ScholarPubMed
Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J., & Kempe, A. (2017). Understanding and increasing vaccination behaviors: Putting psychology into action. Psychological Science in the Public Interest, 18, 149207. https://doi.org/10.1177/1529100618760521Google Scholar
Carey, R. N., Connell, L. E., Johnston, M. et al. (2019). Behaviour change techniques and mechanisms of action: A synthesis of links hypothesised in published intervention literature. Annals of Behavioral Medicine. https://doi.org/10.31234/osf.io/x5372Google Scholar
Carle, A. C., Riley, W., Hays, R. D., & Cella, D. (2015). Confirmatory factor analysis of the Patient Reported Outcomes Measurement Information System (PROMIS) adult domain framework using item response theory scores. Medical Care, 53, 894900. https://doi.org/10.1097/mlr.0000000000000413Google Scholar
CDC (Centers for Disease Control and Prevention). (1999). Ten great public health achievements: United States, 1900–1999. MMWR. Morbidity and Mortality Weekly Report, 48, 241243.Google Scholar
CDC (Centers for Disease Control and Prevention). (2019). Measles Cases and Outbreaks: Measles Cases in 2019. Atlanta, GA: US Department of Health and Human Services. www.cdc.gov/measles/cases-outbreaks.htmlGoogle Scholar
Collins, L. M. (2018). Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST). New York: Springer. https://doi.org/10.1007/978-3-319-72206-1_1Google Scholar
Connell, L. E, Carey, R. N., de Bruin, M. et al. (2019). Links between behaviour change techniques and mechanisms of action: An expert consensus study. Annals of Behavioral Medicine. https://doi.org/10.31234/osf.io/fge86Google Scholar
Czajkowski, S. M., Powell, L. H., Adler, N. et al. (2015). From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychology, 34, 971982. https://doi.org/10.1037/hea0000161Google Scholar
Gardner, B. (2015). A review and analysis of the use of “habit” in understanding, predicting, and influencing health-related behaviour. Health Psychology Review, 9, 277295. https://doi.org/10.1080/17437199.2013.876238Google Scholar
Gifford, R., Kormos, C., & McIntyre, A. (2011). Behavioral dimensions of climate change: Drivers, responses, barriers, and interventions. WIREs Climate Change, 2, 801827. https://doi.org/10.1002/wcc.143Google Scholar
Gillison, F. B., Rouse, P., Standage, M., Sebire, S. J., & Ryan, R. M. (2019). A meta-analysis of techniques to promote motivation for health behaviour change from a self-determination theory perspective. Health Psychology Review, 13, 110130. http://doi.org/10.1080/17437199.2018.1534071CrossRefGoogle ScholarPubMed
Hamilton, C. M., Strader, L. C., Pratt, J. G. et al. (2011). The PhenX Toolkit: Get the most from your measures. American Journal of Epidemiology, 174, 253260. https://doi.org/10.1093/aje/kwr193Google Scholar
Jachimowicz, J. M., Duncan, S., Weber, E. U., & Johnson, E. J. (2019). When and why defaults influence decisions: A meta-analysis of default effects. Behavioural Public Policy, 3, 159186. https://doi.org/10.1017/bpp.2018.43Google Scholar
Johnston, M., Carey, R. N., Connell Bohlen, L. et al. (2019). Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus. PsyArXiv. https://doi.org/10.31234/osf.io/ur6kzGoogle Scholar
Knittle, K., Nurmi, J., Crutzen, R., Hankonen, N., Beattie, M., & Dombrowski, S. U. (2018). How can interventions increase motivation for physical activity? A systematic review and meta-analysis. Health Psychology Review, 12, 211230. https://doi.org/10.1080/17437199.2018.1435299Google Scholar
Kok, G., Gottlieb, N. H., Peters, G.-J. Y. et al. (2016). A taxonomy of behaviour change methods: An intervention mapping approach. Health Psychology Review, 10, 297312, https://doi.org/10.1080/17437199.2015.1077155Google Scholar
Kwasnicka, D., Dombrowski, S. U., White, M., & Sniehotta, F. (2016). Theoretical explanations for maintenance of behavior change: A systematic review of behavior theories. Health Psychology Review, 10, 277296. https://doi.org/10.1080/17437199.2016.1151372Google Scholar
MacKinnon, D. P. (2008). Introduction to Statistical Mediation Analysis. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
MacLean, P. S., Rothman, A. J., Nicastro, H. L. et al. (2018). The accumulating data to optimally predict obesity treatment (ADOPT) core measures project: Rationale and approach. Obesity, 26, S6S15. https://doi.org/10.1002/oby.22154CrossRefGoogle ScholarPubMed
McEachan, R. R., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5, 97144. https://doi.org/10.1080/17437199.2010.521684Google Scholar
Meehl, P. E. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46, 806834. https://doi.org/10.1037//0022-006x.46.4.806Google Scholar
Michie, S., Carey, R. N., Johnston, M. et al. (2018). From theory-inspired to theory-based interventions: A protocol for developing and testing a methodology for linking behaviour change techniques to theoretical mechanisms of action. Annals of Behavioral Medicine, 52, 501512. https://doi.org/10.1007/s12160-016-9816-6Google Scholar
Michie, S., Richardson., M., Johnston, M. et al. (2013). The Behavior Change Technique Taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 8195. https://doi.org/10.1007/s12160-013-9486-6CrossRefGoogle ScholarPubMed
Moher, D., Schultz, K. F., Altman, D. G., & the CONSORT Group. (2001). The CONSORT statement: Revised recommendations for improving the quality of reports of parallel-group randomized trials. Lancet, 357, 11911194. https://doi.org/10.1016/s0140-6736(00)04337-3Google Scholar
Munafò, M. R., Nosek, B. A., Bishop, D. V. M. et al. (2017). A manifesto for reproducible science. Nature Human Behavior, 1 (21). https://doi.org/10.1038/s41562-016-0021Google Scholar
Nielsen, L., Riddle, M., King, J. W., & the NIH Science of Behavior Change Implementation Team. (2018). The NIH science of behavior change program: Transforming the science through a focus on mechanisms of change. Behaviour Research and Therapy, 101, 311. https://doi.org/10.1016/j.brat.2017.07.002Google Scholar
Nosek, B. A., Ebersole, C. R., DeHaven, A. C., & Mellor, D. T. (2018). The preregistration revolution. Proceedings of the National Academy of Sciences, 115, 26002606. https://doi.org/10.1073/pnas.1708274114Google Scholar
Patel, M., Lee, A. D., Redd, S. B. et al. (2019). Increase in measles cases – United States, January 1–April 26, 2019. MMWR. Morbidity and Mortality Weekly Report, 68, 402404. http://dx.doi.org/10.15585/mmwr.mm6817e1Google Scholar
Rothman, A. J., Baldwin, A. S., Hertel, A. W., & Fuglestad, P. (2011). Self-regulation and behavior change: Disentangling behavioral initiation and behavioral maintenance. In Vohs, K. D. & Baumeister, R. F. (Eds.), Handbook of Self-Regulation: Research, Theory, and Applications (2nd ed., pp. 106122). New York: Guilford Press.Google Scholar
Sheeran, P., Avishai, A., Jones, K., Villegas, M., Wright, C. E., & Brewer, N. T. (2019). Health behavior tasks: Conceptualizing actions to promote health and prevent disease. Unpublished manuscript, University of North Carolina at Chapel Hill.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. https://doi.org/10.1037/a0033065Google Scholar
Sheeran, P. S., Klein, W. M. P., & Rothman, A. J. (2017). Health behavior change: Moving from observation to intervention. Annual Review of Psychology, 68, 573600. https://doi.org/10.1146/annurev-psych-010416-044007Google Scholar
Sheeran, P., Maki, A., Montanaro, E. et al. (2016). The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: A meta-analysis. Health Psychology, 35, 11781188. https://doi.org/10.1037/hea0000387Google Scholar
Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005). Establishing a causal chain: Why experiments are often more effective than mediational analyses in examining psychological processes. Journal of Personality and Social Psychology, 89, 845851. http://doi.org/10.1037/0022-3514.89.6.845Google Scholar
Swim, J. K., Clayton, S., & Howard, G. S. (2011). Human behavioral contributions to climate change. American Psychologist, 66, 251264. https://doi.org/10.1037/a0023472CrossRefGoogle ScholarPubMed
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, 11781204. http://dx.doi.org/10.1037/a0039729Google Scholar
Webb, T. L., & Sheeran, P. (2006). Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychological Bulletin, 132, 249268. https://doi.org/10.1037/0033-2909.132.2.249Google Scholar
Weinstein, N. D. (2007). Misleading tests of health behavior theories. Annals of Behavioral Medicine, 33, 110.Google Scholar

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