Effectiveness of personalized and interactive health risk calculators: A randomized trial

Christopher A. Harle, Julie S. Downs, Rema Padman

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Background. Risk calculators are popular websites that provide individualized disease risk assessments to the public. Little is known about their effect on risk perceptions and health behavior. Objective. This study sought to test whether risk calculator featuresnamely, personalized estimates of ones disease risk and feedback about the effects of risk-mitigating behaviorsimprove risk perceptions and motivate healthy behavior. Design. A web-based experimental study using simple randomization was conducted to compare the effects of 3 prediabetes risk communication websites. Setting. The study was conducted in the context of ongoing health promotion activities sponsored by a universitys human resources office. Patients. Participants were adult university employees. Intervention. The control website presented nonindividualized risk information. The personalized noninteractive website presented individualized risk calculations. The personalized interactive website presented individualized risk calculations and feedback about the effects of hypothetical risk-mitigating behaviors. Measurements. Pre- and postintervention risk perceptions were measured in absolute and relative terms. Health behavior was measured by assessing participant interest in follow-up preventive health services. Results. On average, risk perceptions decreased by 2%. There was no general effect of personalization or interactivity in aligning subjective risk perceptions with objective risk calculations or in increasing healthy behaviors. However, participants who previously overestimated their risk reduced their perceptions by 16%. This was a significantly larger change than the 2% increase by participants who underestimated their risk. Limitations. Results may not generalize to different populations, different diseases, or longer-term outcomes. Conclusions. Compared to nonpersonalized information, individualized risk calculators had little positive effect on prediabetes risk perception accuracy or health behavior. Risk perception accuracy was improved in people who receive relatively "good news" about risk rather than "bad news.".

Original languageEnglish (US)
Pages (from-to)594-605
Number of pages12
JournalMedical Decision Making
Volume32
Issue number4
DOIs
StatePublished - Jul 1 2012
Externally publishedYes

Keywords

  • consumer informatics randomized trial methodology
  • health literacy
  • risk communication or risk perception

ASJC Scopus subject areas

  • Health Policy

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