Theoretical Foundations for Interventions Designed
to Promote Informed Decision Making for Cancer Screening
Deborah J. Bowen, Ph.D.
Fred Hutchinson Cancer Research Center and
University of Washington, School of Public Health
Jennifer D. Allen, Ph.D.
Dana-Farber Cancer Institute
Thuy Vu
Fred Hutchinson Cancer Research Center and
University of Washington, School of Public Health
Robin E. Johnson
Mount Holyoke College
Kelly Fryer-Edwards, Ph.D.
University of Washington, School of Medicine
Alton Hart, Jr., M.D., M.P.H.
Virginia Commonwealth University, Department of Internal Medicine
ABSTRACT
Background: Decision aids are currently being developed
and evaluated for use in cancer-screening decisional settings.
Purpose: The purpose of this article is to review and discuss the
theoretical basis of interventions to promote informed decision
making in cancer screening. Methods: We reviewed interven-
tions cited in Briss et al. (1) and Rimer et al. (2) to identify their
theoretical basis, intervention content, measurement strategies,
and outcomes. Results: Few interventions had a strong, deci-
sion-oriented conceptual basis. This was apparent in their inter-
vention content, the measurement strategy, and the choice of
outcomes for the study. Conclusions: We recommend that more
research occur into the basis of decision making in cancer
screening and that future interventions use this research to rig-
orously design and evaluate decision aids to help people make
choices about cancer screening.
(Ann Behav Med 2006, 32(3):202–210)
INTRODUCTION
There is growing interest in using informed decision mak-
ing (IDM) to help patients make decisions about complicated
medical issues and procedures, matched by an increased desire
on the part of patients for involvement in decision making (3,4).
IDM is generally defined as the process that patients go through
to make a decision about engaging in a medical or health-related
procedure or activity, considering benefits, harms, risks, health
improvements, the match between these properties and personal
values and preferences, and understanding the uncertainty and
limitations of the procedures. Knowledge is defined as both
awareness and understanding of the possible outcomes, risks,
and benefits of the procedure or choice. Preferences, or values,
are ideas and beliefs held by the patient that could be used to
guide the decision or choice. If the decision is to engage in or
consider the procedure or activity, patients then often undergo a
process of shared decision making with a provider, to make a fi-
nal decision (5).
IDM tools and interventions are often used for health deci-
sions that have the following characteristics: There is a lack of
consensus regarding best course of action, determination of the
optimal strategy must be based on individualized preferences,
and individual preferences for potential outcomes vary (6). De-
cision aids, or interventions designed to help people make spe-
cific and deliberative choices among options by providing (at a
minimum) information on the options and outcomes relevant to
the person’s health status (7), are often used to help patients with
this process. Multiple types of decision aids have been devel-
oped and evaluated to help people work through the process of
IDM, including print booklets and materials and electronic
tools, such as videotapes and interactive computer programs (8).
The area of IDM in cancer screening and prevention is rela-
tively new and needs research attention and application from
other fields. A recently published chapter in the Community
Guide to Preventive Services reviewed the evidence for inter-
ventions to improve IDM about cancer screening (5). The re-
view called for more attention to the conceptual basis for the in-
tervention design, specifically more focus on patients’ values
and preferences, and not simply knowledge acquisition. It con-
202
This publication was supported in part by the Centers for Disease Con-
trol and Prevention and the National Cancer Institute through the
Cancer Prevention and Control Research Network, a network within
the CDC’s Prevention Research Centers Program (Grant 1-U48-DP-
000050). This work was also supported by Grants U48/CCU
115807-05, SIP 2-02, Component#3 (Dana Farber Cancer Institute).
Reprint Address: D. J. Bowen, Ph.D., Fred Hutchinson Cancer Re-
search Center, 1100 Fairview Avenue, North M3-B232, Seattle, WA
98109. E-mail: dbowen@fhcrc.org
© 2006 by The Society of Behavioral Medicine.
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