Decision aids can support cancer clinical trials decisions: Results of a randomized trial

Mary C. Politi, Marie D. Kuzemchak, Kimberly A. Kaphingst, Hannah Perkins, Jingxia Liu, Margaret M Byrne

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Background. Cancer patients often do not make informed decisions regarding clinical trial participation. This study evaluated whether a web-based decision aid (DA) could support trial decisions comparedwith our cancer center’s website. Methods. Adults diagnosed with cancer in the past 6 months who had not previously participated in a cancer clinical trial were eligible. Participants were randomized to view the DA or our cancer center’s website (enhanced usual care [UC]). Controlling for whether participants had heard of cancer clinical trials and educational attainment, multivariable linear regression examined group on knowledge, self-efficacy for finding trial information, decisional conflict (values clarity and uncertainty), intent to participate, decision readiness, and trial perceptions. Results. Two hundred patients (86%) consented between May 2014 and April 2015. One hundred were randomized to each group. Surveys were completed by 87 in the DA group and 90 in the UC group. DA group participants reported clearer values regarding trial participation than UC group participants reported (least squares [LS]mean=15.8 vs. 32, p<.0001) and less uncertainty (LS mean = 24.3 vs. 36.4, p = .025). The DA group had higher objective knowledge than the UC group’s (LS mean = 69.8 vs. 55.8, p < .0001). There were no differences between groups in intent to participate. Conclusions. Improvements on key decision outcomes including knowledge, self-efficacy, certainty about choice, and values clarity among participants who viewed the DA suggest web-based DAs can support informed decisions about trial participation among cancer patients facing this preference-sensitive choice. Althoughbetter informingpatients before trial participation could improve retention,morework is needed to examine DA impact on enrollment and retention.

Original languageEnglish (US)
Pages (from-to)1461-1470
Number of pages10
JournalOncologist
Volume21
Issue number12
DOIs
StatePublished - Dec 1 2016

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Decision Support Techniques
Clinical Trials
Least-Squares Analysis
Neoplasms
Self Efficacy
Uncertainty
Patient Preference
Linear Models

Keywords

  • Clinical trials
  • Decision aids
  • Informed decision making

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Politi, M. C., Kuzemchak, M. D., Kaphingst, K. A., Perkins, H., Liu, J., & Byrne, M. M. (2016). Decision aids can support cancer clinical trials decisions: Results of a randomized trial. Oncologist, 21(12), 1461-1470. https://doi.org/10.1634/theoncologist.2016-0068

Decision aids can support cancer clinical trials decisions : Results of a randomized trial. / Politi, Mary C.; Kuzemchak, Marie D.; Kaphingst, Kimberly A.; Perkins, Hannah; Liu, Jingxia; Byrne, Margaret M.

In: Oncologist, Vol. 21, No. 12, 01.12.2016, p. 1461-1470.

Research output: Contribution to journalArticle

Politi, MC, Kuzemchak, MD, Kaphingst, KA, Perkins, H, Liu, J & Byrne, MM 2016, 'Decision aids can support cancer clinical trials decisions: Results of a randomized trial', Oncologist, vol. 21, no. 12, pp. 1461-1470. https://doi.org/10.1634/theoncologist.2016-0068
Politi MC, Kuzemchak MD, Kaphingst KA, Perkins H, Liu J, Byrne MM. Decision aids can support cancer clinical trials decisions: Results of a randomized trial. Oncologist. 2016 Dec 1;21(12):1461-1470. https://doi.org/10.1634/theoncologist.2016-0068
Politi, Mary C. ; Kuzemchak, Marie D. ; Kaphingst, Kimberly A. ; Perkins, Hannah ; Liu, Jingxia ; Byrne, Margaret M. / Decision aids can support cancer clinical trials decisions : Results of a randomized trial. In: Oncologist. 2016 ; Vol. 21, No. 12. pp. 1461-1470.
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