skip to main content
10.1145/2750511.2750516acmotherconferencesArticle/Chapter ViewAbstractPublication PagesdhConference Proceedingsconference-collections
short-paper

Assessing Patient Experience and Patient Preference when Designing Web Support for Smoking Cessation

Published:18 May 2015Publication History

ABSTRACT

Patients will often resist campaigns to promote healthier behavior but the digital health revolution allows the creation of a much more nuanced set of health messages that can be tailored to the patient or end user. In this study we explore the effects of patient preference on message acceptance and also explore what happens when messages are framed in terms of patient experience. Smokers (n=113) viewed a quitting website in which material was expressed either as a factsheet or as patient experience (PEx) and where the material was either matched or unmatched to their own preferred quitting methods. Across a range of measures, we found strong evidence that preference matching was effective in motivating smokers to engage with the material and we found modest support for the role of PEx in reducing message resistance.

References

  1. Winterbottom, AE, Bekker HL, Conner M, Mooney A. 2011. Patient stories about their dialysis experience biases others' choices regardless of doctor's advice: an experimental study. Nephrol Dial Transplant, 27, 1,325--331.Google ScholarGoogle ScholarCross RefCross Ref
  2. de Wit JBF, Das E, Vet R. 2008. What works best: objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception. Health Psychol, 27,110--115.Google ScholarGoogle ScholarCross RefCross Ref
  3. Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., Mendes, G.A. & Lau, A. Y. (2014). The influence of social networking sites on health behavior change: a systematic review and meta-analysis. Journal of the American Medical Informatics Association, (0), 1--10.Google ScholarGoogle Scholar
  4. Kotz, D, Brown, J. & West., R. 2012. Predictive validity of the Motivation To Stop Scale (MTSS): A single-item measure of motivation to stop smoking. Drug and Alcohol Dependence, http://dx.doi.org/10.1016/j.drugalcdep.2012.07.012Google ScholarGoogle Scholar
  5. Aarts, H. & Dijksterhuis, A. 2003. The silence of the library: environment, situational norm, and social behavior. J Pers Soc Psychol. 84, 1, 18--28.Google ScholarGoogle ScholarCross RefCross Ref
  6. West, R. 2008. Finding better ways of motivating and assisting smokers to stop: Research at the CRUK Health Behaviour Research Centre. The European Health Psychologist 10, 54--58.Google ScholarGoogle Scholar
  7. Kelly, L., Jenkins, C., Ziebland, S. 2013. Measuring the effects of online health information for patients: Item generation for an e-health impact questionnaire. Patient education and counseling 93, 3, 433--438.Google ScholarGoogle Scholar
  8. Sillence, E., Hardy, C., Harris, P. and Briggs, P. (2014). Modeling Patient Engagement in Peer-to-Peer Healthcare. 23rd International World Wide Web Conference (Web Science Track), April 7--11, Seoul, Korea. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Assessing Patient Experience and Patient Preference when Designing Web Support for Smoking Cessation

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          DH '15: Proceedings of the 5th International Conference on Digital Health 2015
          May 2015
          156 pages
          ISBN:9781450334921
          DOI:10.1145/2750511

          Copyright © 2015 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 18 May 2015

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • short-paper

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader