Cost-Effectiveness Evaluations of Behavior Change Interventions

doi:10.1017/9781108677318.026

26 - Cost-Effectiveness Evaluations of Behavior Change Interventions

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

Published online by Cambridge University Press: 04 July 2020

Joshua Byrnes and

Edited by

Nelli Hankonen and

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

Behavior change interventions have made an indelible mark on addressing problems that require behavioral solutions; however, such interventions also come at a financial cost. Identifying whether the benefits of behavioral changes are greater than the cost of the intervention itself, and the relative return on those costs compared to alternative opportunities, is critical to ensuring that behavior change interventions are truly beneficial and maximize the return on scarce resources. Cost-effectiveness analysis (CEA), as a form of economic evaluation that has been widely used, can provide evidence to inform decisions on whether funding bodies should fund these interventions or otherwise. The aim of this chapter is to outline the methods and approaches to CEA of behavior change interventions and discuss the role of economic evaluation in this setting. The chapter starts by presenting a framework for conducting economic evaluations of behavior change interventions. The framework sets out how to identify participants, interventions, comparators, and outcomes for economic evaluation studies. The chapter then outlines the appraisal of CEA by applying the consolidated health economic evaluation reporting standards checklist. Finally, the chapter discusses the implications and recommendations for CEA, including discussion of the appropriate measurement of benefits, feasible model approaches, and issues underlying political considerations when funding behavior change interventions.

Keywords

economic evaluation cost-effectiveness analysis QALY experimental designs usual practice economic evaluation framework neoclassical economic approach

Type: Chapter
Information: The Handbook of Behavior Change , pp. 372 - 384

DOI: https://doi.org/10.1017/9781108677318.026 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2020

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References

AIHW (Australian Institute of Health and Welfare). (2013). Health Expenditure Australia 2011–12. www.aihw.gov.au/reports/health-welfare-expenditure/hea-2011-12/report-editions Google Scholar

Alayli-Goebbels, A. F., Evers, S. M., Alexeeva, D. et al. (2013). A review of economic evaluations of behavior change interventions: Setting an agenda for research methods and practice. Journal of Public Health, 36, 336–344. https://doi.org/10.1093/pubmed/fdt080 Google Scholar

Baker, L., Birnbaum, H., Geppert, J., Mishol, D., & Moyneur, E. (2003). The relationship between technology availability and health care spending: Attempts to address technology availability and rising costs could end up badly misguided if implications for quality are not considered. Health Affairs, 22, W3–537. https://doi.org/10.1377/hlthaff.w3.537 CrossRef Google Scholar

Battista, W., Romero-Canyas, R., Smith, S. L. et al. (2018). Behavior change interventions to reduce illegal fishing. Frontiers in Marine Science, 5, 403. https://doi.org/10.3389/fmars.2018.00403 Google Scholar

Bhattacharya, J., Hyde, T., & Tu, P. (2013). Health Economics. New York: Palgrave Macmillan.Google Scholar

Binger, B. R., & Hoffman, E. (1988). Microeconomics with Calculus. Glenview, IL: Scott Foresman.Google Scholar

Bodenheimer, T. (2005). High and rising health care costs. Part 2: Technologic innovation. Annals of Internal Medicine, 142, 932–937. https://doi.org/10.7326/0003-4819-142-11-200506070-00012 CrossRef Google Scholar PubMed

Brennan, A., Chick, S. E., & Davies, R. (2006). A taxonomy of model structures for economic evaluation of health technologies. Health Economics, 15, 1295–1310. https://doi.org/10.1002/hec.1148 Google Scholar

Briggs, A., Sculpher, M., & Claxton, K. (2006). Decision Modelling for Health Economic Evaluation. New York: Oxford University Press.Google Scholar

Cutler, D. M. (2004). Behavioral health interventions: What works and why. In Anderson, N. B., Bulatao, R. A., & Cohen, B. (Eds.), Critical Perspectives on Racial and Ethnic Differences in Health in Late Life (pp. 643–674). Washington, DC: National Academies Press. https://doi.org/10.17226/11086 Google Scholar

Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the Economic Evaluation of Health Care Programmes (4th ed.). New York: Oxford University Press.Google Scholar

Fertig, A., Lefkowitz, J., & Fishbane, A. (2015). Using Behavioral Science to Increase Retirement Savings: A New Look at Voluntary Pension Contributions in Mexico. Ideas42 report. www.ideas42.org/wp-content/uploads/2015/11/I42_571_MexicoPensionsReport_ENG_final_digital.pdf Google Scholar

Folland, S., Goodman, A. C., & Stano, M. (2016). The Economics of Health and Health Care (7th ed.). Abingdon: Routledge.Google Scholar

Fox-Rushby, J., & Cairns, J. (2005). Economic Evaluation. Maidenhead: Open University Press.Google Scholar

Fragoulakis, V., Mitropoulou, C., Williams, M., & Patrinos, G. P. (2015). Economic Evaluation in Genomic Medicine. Burlington, CA: Academic Press.Google Scholar

Gray, A. M., Clarke, P. M., Wolstenholme, J. L., & Wordsworth, S. (2011). Applied Methods of Cost-Effectiveness Analysis in Healthcare. New York: Oxford University Press.Google Scholar

Hallsworth, M., Snijders, V., Burd, H. et al. (2016). Applying Behavioral Insights: Simple Ways to Improve Health Outcomes. Report of the WISH Behavioral Insights Forum 2016. www.imperial.ac.uk/media/imperial-college/institute-of-global-health-innovation/Behavioral_Insights_Report-(1).pdf Google Scholar

Huang, X., Lin, J., & Demner-Fushman, D. (2006). Evaluation of PICO as a knowledge representation for clinical questions. AMIA Annual Symposium Proceedings, 2006, 359–363. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1839740/Google Scholar PubMed

Husereau, D., Drummond, M., Petrou, S. et al. (2013). Consolidated health economic evaluation reporting standards (CHEERS) statement. Cost Effectiveness and Resource Allocation, 11, 6. https://doi.org/10.1186/1478-7547-11-6 Google Scholar

Kelly, M. P., & Barker, M. (2016). Why is changing health-related behaviour so difficult? Public Health, 136, 109–116. https://doi.org/10.1016/j.puhe.2016.03.030 CrossRef Google Scholar PubMed

Morris, S., Devlin, N., & Parkin, D. (2007). Economic Analysis in Health Care. Chichester: Wiley.Google Scholar

Mpofu, E. (2014). Community-Oriented Health Services: Practices Across Disciplines. New York: Springer.Google Scholar

Neri, D., Leifer, J., & Barrows, A. (2016). Graduating Students into Voters. Overcoming the Psychological Barriers Faced by Student Voters: A Behavioral Science Approach. Ideas42 report. www.ideas42.org/wp-content/uploads/2017/05/Students_into_Voters.pdf Google Scholar

NICE (National Institute for Health and Care Excellence). (2013). Guide to the Methods of Technology Appraisal 2013. www.nice.org.uk/process/pmg9/chapter/evidence Google Scholar

OECD (Organisation for Economic Co-operation and Development). (2017). Health spending (indicator). https://data.oecd.org/healthres/health-spending.htm Google Scholar

Perloff, J. (2015). Microeconomics (7th ed.). Boston: Pearson.Google Scholar

Perneczky, R., Wagenpfeil, S., Komossa, K., Grimmer, T., Diehl, J., & Kurz, A. (2006). Mapping scores onto stages: Mini-mental state examination and clinical dementia rating. The American Journal of Geriatric Psychiatry, 14, 139–144. https://doi.org/10.1097/01.jgp.0000192478.82189.a8 Google Scholar

Schardt, C., Adams, M. B., Owens, T., Keitz, S., & Fontelo, P. (2007). Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Medical Informatics and Decision Making, 7, 16. https://doi.org/10.1186/1472-6947-7-16 Google Scholar

Thaler, R. H., & Sunstein, C. R. (2009). Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar

WHO (World Health Organization). (2016). Health System Efficiency: How to Make Measurement Matter for Policy and Management. Geneva: WHO.Google Scholar

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26 - Cost-Effectiveness Evaluations of Behavior Change Interventions

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