Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Nov;35(8):979-86.
doi: 10.1177/0272989X15598532. Epub 2015 Jul 30.

Decision Aids: The Effect of Labeling Options on Patient Choices and Decision Making

Affiliations

Decision Aids: The Effect of Labeling Options on Patient Choices and Decision Making

James G Dolan et al. Med Decis Making. 2015 Nov.

Abstract

Background: Conscious and unconscious biases can influence how people interpret new information and make decisions. Current standards for creating decision aids, however, do not address this issue.

Method: Using a 2×2 factorial design, we developed surveys that contained a decision scenario (involving a choice between aspirin or a statin drug to lower risk of heart attack) and a decision aid. Each aid presented identical information about reduction in heart attack risk and likelihood of a major side effect. They differed in whether the options were labeled and the amount of decisional guidance: information only (a balance sheet) versus information plus values clarification (a multicriteria decision analysis). We sent the surveys to members of 2 Internet survey panels. After using the decision aid, participants indicated their preferred medication. Those using a multicriteria decision aid also judged differences in the comparative outcome data provided for the 2 options and the relative importance of achieving benefits versus avoiding risks in making the decision.

Results: The study sample size was 536. Participants using decision aids with unlabeled options were more likely to choose a statin: 56% versus 25% (P < 0.001). The type of decision aid made no difference. This effect persisted after adjustment for differences in survey company, age, gender, education level, health literacy, and numeracy. Participants using unlabeled decision aids were also more likely to interpret the data presented as favoring a statin with regard to both treatment benefits and risk of side effects (P ≤ 0.01). There were no significant differences in decision priorities (P = 0.21).

Conclusion: Identifying the options in patient decision aids can influence patient preferences and change how they interpret comparative outcome data.

Keywords: cognitive biases; patient decision aids; shared decision making.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Blinded decision aid example. The upper panel shows the balance sheet decision aid. The AHP-based decision aid included all of the elements shown in the figure. The balance sheet was used to present the comparative outcome information. Pairwise comparison judgments regarding differences between the options’ benefits and risks were entered using the interactive sliders shown in the middle of the figure. Sliders were also used to compare the priorities of benefits versus risks in making the decision. Results of the analysis are summarized in the chart and table shown below. The unblinded decision aids were identical except that aspirin was denoted as Medication A and statin was denoted as Medication B.
Figure 2
Figure 2
Preferred medications. This figure illustrates the overall differences in preferred medications between decision aids with labeled versus unlabeled options and differences within each type of decision aid. All differences are statistically significant, p < 0.01.

Similar articles

Cited by

References

    1. Desmond C, Brubaker KA, Ellner AL. Decision-making strategies: ignored to the detriment of healthcare training and delivery? Health Psychol Behav Med. 2013;1:59–70. - PMC - PubMed
    1. Croskerry P. From Mindless to Mindful Practice — Cognitive Bias and Clinical Decision Making. 2013 Accessed 27 Jun 2013. - PubMed
    1. Reyna VF, Nelson WL, Han PK, Pignone MP. Decision making and cancer. Am Psychol. 2015;70:105–18. doi: 10.1037/a0036834. - DOI - PMC - PubMed
    1. Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds D, John M, Gavaghan DJ, et al. Assessing the quality of reports of randomized clinical trials: is blinding necessary? Controlled clinical trials. 1996;17:1–12. - PubMed
    1. Schulz KF, Chalmers I, Hayes RJ, Altman DG. Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA. 1995;273:408–12. - PubMed

Publication types

Substances