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Do tailored behavior change messages enhance the effectiveness of health risk appraisal? Results from a randomized trial
Open accessAbstract
Health risk appraisal (HRA) remains one of the most widely used health promotion tools despite only equivocal evidence for its effectiveness. Theories of behavior change predict conventional HRA's ineffectiveness because risk information alone is seldom sufficient to change complex behaviors. In this study, a randomized trial compared the effects of feedback from an enhanced HRA with a typical HRA and a control group among adult patients from eight family medicine practices. The enhanced HRA assessed behavior-specific psychosocial factors and provided patients with computer-generated, individually-tailored behavior change information in addition to typical HRA risk feedback. Changes in seven behaviors were assessed at a 6 month follow-up. Overall, patients receiving enhanced HRA feedback were 18% more likely to change at least one risk behavior than were patients receiving typical HRA feedback or no feedback (OR = 1.18, 95% CI = 1.00, 1.39). The enhanced HRA feedback appeared to promote changes in cholesterol screening, dietary fat consumption and physical activity, but not in smoking, seat belt use, mammography and Pap smears. We conclude that the addition of theory-based, individually-tailored behavior change information may improve the effectiveness of HRA.
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Stages and processes of self-change of smoking: Toward an integrative model of change.
Prochaska, J. O., & DiClemente, C. C. (1983) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.51.3.390 · Cited by 9,098
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Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science · doi:10.1023/b:prev.0000037641.26017.00 · Cited by 608
Kroeze, W., Werkman, A., & Brug, J. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3103_2 · Cited by 570
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Everett, T., Bryant, A., Griffin, M. F., Martin-Hirsch, P. P., Forbes, C. A., & Jepson, R. G. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002834.pub2 · Cited by 332
Printed educational materials: effects on professional practice and health care outcomes
Farmer, A. P., Légaré, F., Turcot, L., Grimshaw, J., Harvey, E., McGowan, J., & Wolf, F. M. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004398.pub2 · Cited by 249
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Glasgow, R. E., Goldstein, M. G., Ockene, J. K., & Pronk, N. P. (2004) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2004.04.019 · Cited by 239
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Ryan, P., & Lauver, D. R. (2002) · Journal of Nursing Scholarship · doi:10.1111/j.1547-5069.2002.00331.x · Cited by 230
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Bull, F. C., Kreuter, M. W., & Scharff, D. P. (1999) · Patient Education and Counseling · doi:10.1016/s0738-3991(98)00134-7 · Cited by 221
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Oenema, A., Tan, F., & Brug, J. (2005) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2901_8 · Cited by 170
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Gagnon, M.-P., Légaré, F., Labrecque, M., Frémont, P., Pluye, P., Gagnon, J., Car, J., Pagliari, C., Desmartis, M., Turcot, L., et al. (2009) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006093.pub2 · Cited by 157
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(2001) · Journal of Health Communication · doi:10.1080/108107301752384442 · Cited by 131
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Citation searching: a systematic review case study of multiple risk behaviour interventions
Wright, K., Golder, S., & Rodriguez-Lopez, R. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-73 · Cited by 103
Print-based self-help interventions for smoking cessation
Livingstone-Banks, J., Ordóñez-Mena, J. M., & Hartmann-Boyce, J. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001118.pub4 · Cited by 81
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Jacobs, A. D., Ammerman, A. S., Ennett, S. T., Campbell, M. K., Tawney, K. W., Aytur, S. A., Marshall, S. W., Will, J. C., & Rosamond, W. D. (2004) · Journal of Women's Health · doi:10.1089/1540999041281016 · Cited by 54
Metadata
- Authors
- Kreuter, M. W., & Strecher, V. J.
- Venue
- Health Education Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1996
- Volume
- 11
- Issue
- 1
- Pages
- 97-105
- ISSN
- 0268-1153 (ISSN-L)
- 1465-3648
- OpenAlex
- W2144128735
- Cited by
- 305
- References
- 1
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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