Skip to main content Accessibility help
×
Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-26T21:07:24.480Z Has data issue: false hasContentIssue false

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

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
Get access

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.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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-editionsGoogle 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, 336344. https://doi.org/10.1093/pubmed/fdt080Google 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, W3537. https://doi.org/10.1377/hlthaff.w3.537CrossRefGoogle 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.2018.00403Google 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, 932937. https://doi.org/10.7326/0003-4819-142-11-200506070-00012CrossRefGoogle ScholarPubMed
Brennan, A., Chick, S. E., & Davies, R. (2006). A taxonomy of model structures for economic evaluation of health technologies. Health Economics, 15, 12951310. https://doi.org/10.1002/hec.1148Google 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. 643674). Washington, DC: National Academies Press. https://doi.org/10.17226/11086Google 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.pdfGoogle 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).pdfGoogle Scholar
Huang, X., Lin, J., & Demner-Fushman, D. (2006). Evaluation of PICO as a knowledge representation for clinical questions. AMIA Annual Symposium Proceedings, 2006, 359363. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1839740/Google ScholarPubMed
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/10.1186/1478-7547-11-6Google Scholar
Kelly, M. P., & Barker, M. (2016). Why is changing health-related behaviour so difficult? Public Health, 136, 109116. https://doi.org/10.1016/j.puhe.2016.03.030CrossRefGoogle ScholarPubMed
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.pdfGoogle 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/evidenceGoogle Scholar
OECD (Organisation for Economic Co-operation and Development). (2017). Health spending (indicator). https://data.oecd.org/healthres/health-spending.htmGoogle 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, 139144. https://doi.org/10.1097/01.jgp.0000192478.82189.a8Google 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/10.1186/1472-6947-7-16Google 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

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×