Dataset Information

Influence of Explanatory Images on Risk Perceptions and Treatment Preference.

ABSTRACT: OBJECTIVE:The aim of this study was to examine whether providing patients with a series of balance scales (BS), depicting a reciprocal relationship between achieving disease control and increasing the risk of infection, influences treatment preference. METHODS:Participants were randomized to receive a description of a medication in which risk of infection was relayed using 1 of 4 formats, including numbers only, numbers + icon array (IA), numbers + BS, or numbers + IA + BS (i.e., combination). We compared the likelihood of starting the medication across the 4 formats, and evaluated whether the influence of risk formats varied by numeracy and gist risk appraisals. RESULTS:The mean ± SE likelihood of starting the medication was higher among participants randomized to the combination format (3.85 ± 0.09) compared to those who viewed the BS (3.56 ± 0.09; P = 0.0222) or numbers-only formats (3.51 ± 0.09; P = 0.0069). Viewing an IA alone was associated with a lower likelihood of starting the medication among participants lower in numeracy and endorsing a risk-avoidant noncompensatory gist risk appraisal. Conversely, viewing an IA (with or without the BS) was associated with a greater likelihood of starting the medication among patients with higher numeracy and compensatory risk appraisals. CONCLUSION:Adding explanatory images to IAs increases patient likelihood to take a medication in those with low numeracy and a noncompensatory gist risk appraisal. Explanatory images may be a feasible approach to improve willingness to try medication among subjects who are especially risk averse and believe that any risk is unacceptable.

SUBMITTER: Cozmuta R

PROVIDER: S-EPMC6050154 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Influence of Explanatory Images on Risk Perceptions and Treatment Preference.

Cozmuta Raluca R Wilhelms Evan E Cornell Diana D Nolte Julia J Reyna Valerie V Fraenkel Liana L

Arthritis care & research 20181101 11

<h4>Objective</h4>The aim of this study was to examine whether providing patients with a series of balance scales (BS), depicting a reciprocal relationship between achieving disease control and increasing the risk of infection, influences treatment preference.<h4>Methods</h4>Participants were randomized to receive a description of a medication in which risk of infection was relayed using 1 of 4 formats, including numbers only, numbers + icon array (IA), numbers + BS, or numbers + IA + BS (i.e., ...[more]

PMID: 29342509

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Project description:BACKGROUND:Breast cancer patients' misunderstanding of their systemic cancer recurrence risk has consequences on decision-making and quality of life. Little is known about how women derive their risk estimates. METHODS:Using Los Angeles and Georgia's SEER registries (2014-2015), a random sample of early-stage breast cancer patients was sent surveys about 2 to 3 months after surgery ( N = 3930; RR, 68%). We conducted an inductive thematic analysis of open-ended responses about why women chose their risk estimates in a uniquely large sub-sample ( N = 1,754). Clinician estimates of systemic recurrence risk were provided for patient sub-groups with DCIS and with low-, intermediate-, and high-risk invasive disease. Women's perceived risk of systemic recurrence (0% to 100%) was categorized as overestimation, reasonably accurate estimation, or underestimation (0% for invasive disease) and was compared across identified factors and by clinical presentation. RESULTS:Women identified 9 main factors related to their clinical experience (e.g., diagnosis and testing; treatment) and non-clinical beliefs (e.g., uncertainty; spirituality). Women who mentioned at least one clinical experience factor were significantly less likely to overestimate their risk (12% v. 43%, P < 0.001). Most women who were influenced by "communication with a clinician" had reasonably accurate recurrence estimates (68%). "Uncertainty" and "family and personal history" were associated with overestimation, particularly for women with DCIS (75%; 84%). "Spirituality, religion, and faith" was associated with an underestimation of risk (63% v. 20%, P < 0.001). LIMITATIONS:The quantification of our qualitative results is subject to any biases that may have occurred during the coding process despite rigorous methodology. CONCLUSIONS:Patient-clinician communication is important for breast cancer patients' understanding of their numeric risk of systemic recurrence. Clinician discussions about recurrence risk should address uncertainty and relevance of family and personal history.

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Dataset Information

Influence of Explanatory Images on Risk Perceptions and Treatment Preference.

Publications

Influence of Explanatory Images on Risk Perceptions and Treatment Preference.

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