Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T19:25:16.808Z Has data issue: false hasContentIssue false
  • English
  • Français

Willingness to pay for a cardiovascular prevention program in highly educated adults: A randomized controlled trial

Published online by Cambridge University Press:  17 October 2011

Nele Jacobs ,
Ruben Drost ,
Andre Ament ,
Silvia Evers  and
Neree Claes
Nele Jacobs
Affiliation:
Hasselt University
Ruben Drost
Affiliation:
Maastricht University
Andre Ament
Affiliation:
Maastricht University
Silvia Evers
Affiliation:
Maastricht University
Neree Claes
Affiliation:
Hasselt University
Get access Rights & Permissions [Opens in a new window]

Abstract

Objectives: The aim of this study was to determine adults’ Willingness To Pay (WTP) for CardioVascular Disease (CVD) intervention programs of different intensities.

Methods: Three hundred fourteen participants were randomized to two study conditions: (i) CVD risk assessment/communication; (ii) CVD risk assessment/communication + a behavior change program. The behavior change program was aimed at increasing physical activity, reducing saturated fat intake and smoking cessation. It consisted of a tailored Web site and individual coaching with a self-selected dose. At post-assessment, WTP and perceived autonomy support items were included. The intervention dose was registered throughout the trial and post-hoc intervention dose groups were created. Pearson Chi-Square tests, Student's t-tests, one-way analyses of variance were used to examine WTP-differences between the study conditions and intervention dose groups.

Results: Twenty-four months after baseline, 61 and 135 participants of the control and intervention condition, respectively, completed the questionnaires. No WTP difference was found between the study conditions. However, participants that selected a higher intervention dose were willing to pay significantly more for their program (p < .05).

Conclusions: In general, people want to pay the same amount of money for a CVD prevention program, irrespective of the inclusion of a behavior change program. However, there seems to be an association between the self-selected dose of the latter program and the WTP.

Keywords

Willingness to payCardiovascular preventionBehavior
Type
ASSESSMENTS
Information
International Journal of Technology Assessment in Health Care , Volume 27 , Issue 4 , October 2011 , pp. 283 - 289
Copyright
Copyright © Cambridge University Press 2011

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

REFERENCES

1. Adler, KG. Web portals in primary care: An evaluation of patient readiness and willingness to pay for online services. J Med Internet Res. 2006;8:e26.Google Scholar
2. Ajzen, I. From intentions to actions: A theory of planned behavior. In: Kuhl, J, Beckmann, J, eds. Action-control: From cognition to behavior Heidelberg: Springer; 1985.Google Scholar
3. Allender, S, Scarborough, P, Peto, V, et al. European cardiovascular disease statistics. Oxford (United Kingdom): University of Oxford; 2008.Google Scholar
4. Ament, AJ, Evers, SM. Policymaking based on CERs: Changes in costs are not the same as changes in benefits. Cost Eff Resour Alloc. 2005;3:3.CrossRefGoogle Scholar
5. Bala, MV, Mauskopf, JA, Wood, LL. Willingness to pay as a measure of health benefits. Pharmacoeconomics. 1999;15:891–894.CrossRefGoogle Scholar
6. Claes, N, Jacobs, N. The PreCardio-study protocol–A randomized clinical trial of a multidisciplinary electronic cardiovascular prevention programme. BMC Cardiovasc Disord. 2007;7:27.CrossRefGoogle ScholarPubMed
7. Conroy, RM, Pyorala, K, Fitzgerald, AP, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: The SCORE project. Eur Heart J. 2003;24:987–1003.CrossRefGoogle ScholarPubMed
8. Cookson, R. Willingness to pay methods in health care: A sceptical view. Health Economics. 2003;12:891–894.CrossRefGoogle Scholar
9. Drummond, MF, Sculpher, MJ, Torrance, GW, O'Brien, BJ, Stoddart, GL. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press; 2005.CrossRefGoogle Scholar
10. Graham, I, Atar, D, Borch-Johnsen, K, et al. European guidelines on cardiovascular disease prevention in clinical practice: Full text. Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur J Cardiovasc Prev Rehabil. 2007;14(Suppl 2):S1–S113.CrossRefGoogle Scholar
11. Jacobs, N, Claes, N. An autonomy supportive cardiovascular prevention programme: Practical recommendations from self-determination theory. The European Health Psychologist. 2008;10:74–76.Google Scholar
12. Jacobs, N, De Bourdeaudhuij, I, Claes, N. Surfing depth on a behaviour change website: Predictors and effects on behaviour. Inform Health Soc Care. 2010;35:41–52.CrossRefGoogle ScholarPubMed
13. Jacobs, N, De Bourdeaudhuij, I, Thijs, H et al. , Effect of a cardiovascular prevention program on health behavior and BMI in highly educated adults: A randomized controlled trial. Patient Educ Couns. [Epub ahead of print].Google Scholar
14. Jacobs, N, Evers, S, Ament, A, Claes, N. Cost-utility of a cardiovascular prevention program in highly educated adults: Intermediate results of a randomized controlled trial. Int J Technol Assess Health Care. 2010;26:11–19.Google Scholar
15. Johnson, FR, Manjunath, R, Mansfield, CA, et al. High-risk individuals’ willingness to pay for diabetes risk-reduction programs. Diabetes Care. 2006;29:1351–1356.Google Scholar
16. Koelewijn-van Loon, MS, van der Weijden, T, Ronda, G, et al. Improving lifestyle and risk perception through patient involvement in nurse-led cardiovascular risk management: A cluster-randomized controlled trial in primary care. Prev Med. 2009;50:35–44.CrossRefGoogle ScholarPubMed
17. Krebs, P, Prochaska, JO, Rossi, JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med. 2010;51:214–221.Google Scholar
18. Romé, A, Persson, U, Ekdahl, C, Gard, G. Willingness to pay for health improvements of physical activity on prescription. Scand J Public Health. 2010;38:151–159.CrossRefGoogle ScholarPubMed
19. Ryan, RM, Deci, EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55:68–78.CrossRefGoogle ScholarPubMed
20. van Helvoort-Postulart, D, Dirksen, CD, Kessels, AG, et al. A comparison between willingness to pay and willingness to give up time. Eur J Health Econ. 2009;10:81–91.Google Scholar
21. Vandelanotte, C, De Bourdeaudhuij, I, Sallis, JF, et al. Efficacy of sequential or simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake. Ann Behav Med. 2005;29:138–146.Google Scholar
22. Williams, GC, Grow, VM, Freedman, ZR, et al. Motivational predictors of weight loss and weight-loss maintenance. J Pers Soc Psychol. 1996;70:115–126.CrossRefGoogle ScholarPubMed
23. World Health Organization (WHO). Cardiovascular diseases (CVDs). Fact sheet N°317. 2009 http://www.who.int/mediacentre/factsheets/fs317/en/index.html (accessed August 23, 2010.Google Scholar
Supplementary material: File

Jacobs et al. supplementary material

Supplementary figure 1

Download Jacobs et al. supplementary material(File)
File 40.4 KB