Andrea Fuhrel-Forbis

Blocks, ovals, or people? Icon type affects risk perceptions and recall of pictographs.

Background. Research has demonstrated that icon arrays (also called “pictographs”) are an effective method of communicating risk statistics and appear particularly useful to less numerate and less graphically literate people. Yet research is very limited regarding whether icon type affects how people interpret and remember these graphs. Methods. 1502 people age 35–75 from a demographically diverse online panel completed a cardiovascular risk calculator based on Framingham data using their actual age, weight, and other health data. Participants received their risk estimate in an icon array graphic that used 1 of 6 types of icons: rectangular blocks, filled ovals, smile/frown faces, an outline of a person’s head and shoulders, male/female “restroom” person icons (gender matched), or actual head-and-shoulder photographs of people of varied races (gender matched). In each icon array, blue icons represented cardiovascular events and gray icons represented those who would not experience an event. We measured perceived risk magnitude, approximate recall, and opinions about the icon arrays, as well as subjective numeracy and an abbreviated measure of graphical literacy. Results. Risk recall was significantly higher with more anthropomorphic icons (restroom icons, head outlines, and photos) than with other icon types, and participants rated restroom icons as most preferred. However, while restroom icons resulted in the highest correlations between perceived and actual risk among more numerate/graphically literate participants, they performed no better than other icon types among less numerate/graphically literate participants. Conclusions. Icon type influences both risk perceptions and risk recall, with restroom icons in particular resulting in improved outcomes. However, optimal icon types may depend on numeracy and/or graphical literacy skills.

Animated Graphics for Comparing Two Risks: A Cautionary Tale

Background The increasing use of computer-administered risk communications affords the potential to replace static risk graphics with animations that use motion cues to reinforce key risk messages. Research on the use of animated graphics, however, has yielded mixed findings, and little research exists to identify the specific animations that might improve risk knowledge and patients’ decision making. Objective To test whether viewing animated forms of standard pictograph (icon array) risk graphics displaying risks of side effects would improve people’s ability to select the treatment with the lowest risk profile, as compared with viewing static images of the same risks. Methods A total of 4198 members of a demographically diverse Internet panel read a scenario about two hypothetical treatments for thyroid cancer. Each treatment was described as equally effective but varied in side effects (with one option slightly better than the other). Participants were randomly assigned to receive all risk information in 1 of 10 pictograph formats in a quasi-factorial design. We compared a control condition of static grouped icons with a static scattered icon display and with 8 Flash-based animated versions that incorporated different combinations of (1) building the risk 1 icon at a time, (2) having scattered risk icons settle into a group, or (3) having scattered risk icons shuffle themselves (either automatically or by user control). We assessed participants’ ability to choose the better treatment (choice accuracy), their gist knowledge of side effects (knowledge accuracy), and their graph evaluation ratings, controlling for subjective numeracy and need for cognition. Results When compared against static grouped-icon arrays, no animations significantly improved any outcomes, and most showed significant performance degradations. However, participants who received animations of grouped icons in which at-risk icons appeared 1 at a time performed as well on all outcomes as the static grouped-icon control group. Displays with scattered icons (static or animated) performed particularly poorly unless they included the settle animation that allowed users to view event icons grouped. Conclusions Many combinations of animation, especially those with scattered icons that shuffle randomly, appear to inhibit knowledge accuracy in this context. Static pictographs that group risk icons, however, perform very well on measures of knowledge and choice accuracy. These findings parallel recent evidence in other data communication contexts that less can be more—that is, that simpler, more focused information presentation can result in improved understanding. Decision aid designers and health educators should proceed with caution when considering the use of animated risk graphics to compare two risks, given that evidence-based, static risk graphics appear optimal.

Design Features of Explicit Values Clarification Methods A Systematic Review

Background. Values clarification is a recommended element of patient decision aids. Many different values clarification methods exist, but there is little evidence synthesis available to guide design decisions. Purpose. To describe practices in the field of explicit values clarification methods according to a taxonomy of design features. Data Sources. MEDLINE, all EBM Reviews, CINAHL, EMBASE, Google Scholar, manual search of reference lists, and expert contacts. Study Selection. Articles were included if they described 1 or more explicit values clarification methods. Data Extraction. We extracted data about decisions addressed; use of theories, frameworks, and guidelines; and 12 design features. Data Synthesis. We identified 110 articles describing 98 explicit values clarification methods. Most of these addressed decisions in cancer or reproductive health, and half addressed a decision between just 2 options. Most used neither theory nor guidelines to structure their design. “Pros and cons” was the most common type of values clarification method. Most methods did not allow users to add their own concerns. Few methods explicitly presented tradeoffs inherent in the decision, supported an iterative process of values exploration, or showed how different options aligned with users’ values. Limitations. Study selection criteria and choice of elements for the taxonomy may have excluded values clarification methods or design features. Conclusions. Explicit values clarification methods have diverse designs but can be systematically cataloged within the structure of a taxonomy. Developers of values clarification methods should carefully consider each of the design features in this taxonomy and publish adequate descriptions of their designs. More research is needed to study the effects of different design features.

Variability in physician prognosis and recommendations after intracerebral hemorrhage.

Objective: To assess physician prognosis and treatment recommendations for intracerebral hemorrhage (ICH) and to determine the effect of providing physicians a validated prognostic score. Methods: A written survey with 2 ICH scenarios was completed by practicing neurologists and neurosurgeons. Selected factors were randomly varied (patient older vs middle age, Glasgow Coma Scale [GCS] score 7T vs 11, and presence vs absence of a validated prognostic score). Outcomes included predicted 30-day mortality and recommendations for initial treatment intensity (6-point scale ranging from 1 = comfort only to 6 = full treatment). Results: A total of 742 physicians were included (mean age 52, 32% neurosurgeons, 17% female). Physician predictions of 30-day mortality varied widely (mean [range] for the 4 possible combinations of age and GCS were 23% [0%–80%], 35% [0%–100%], 48% [0%–100%], and 58% [5%–100%]). Treatment recommendations also varied widely, with responses encompassing the full range of response options for each case. No physician demographic or personality characteristics were associated with treatment recommendations. Providing a prognostic score changed treatment recommendations, and the effect differed across cases. When the prognostic score suggested 0% chance of functional independence (76-year-old with GCS 7T), the likelihood of treatment limitations was increased (odds ratio [OR] 1.61, 95% confidence interval [CI] 1.12–2.33) compared to no prognostic score. Conversely, if the score suggested a 66% chance of independence (63-year-old with GCS 11), treatment limitations were less likely (OR 0.62, 95% CI 0.43–0.88). Conclusions: Physicians vary substantially in ICH prognostic estimates and treatment recommendations. This variability could have a profound effect on life and death decision-making and treatment for ICH.

Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics

Background Risk communication involves conveying two inherently difficult concepts about the nature of risk: the underlying random distribution of outcomes and how a population-based proportion applies to an individual. Objective The objective of this study was to test whether 4 design factors in icon arrays—animated random dispersal of risk events, avatars to represent an individual, personalization (operationalized as choosing the avatar’s color), and a moving avatar—might help convey randomness and how a given risk applies to an individual, thereby better aligning risk perceptions with risk estimates. Methods A diverse sample of 3630 adults with no previous heart disease or stroke completed an online nested factorial experiment in which they entered personal health data into a risk calculator that estimated 10-year risk of cardiovascular disease based on a robust and validated model. We randomly assigned them to view their results in 1 of 10 risk graphics that used different combinations of the 4 design factors. We measured participants’ risk perceptions as our primary outcome, as well as behavioral intentions and recall of the risk estimate. We also assessed subjective numeracy, whether or not participants knew anyone who had died of cardiovascular causes, and whether or not they knew their blood pressure and cholesterol as potential moderators. Results Animated randomness was associated with better alignment between risk estimates and risk perceptions (F 1,3576=6.12, P=.01); however, it also led to lower scores on healthy lifestyle intentions (F 1,3572=11.1, P<.001). Using an avatar increased risk perceptions overall (F 1,3576=4.61, P=.03) and most significantly increased risk perceptions among those who did not know a particular person who had experienced the grave outcomes of cardiovascular disease (F 1,3576=5.88, P=.02). Using an avatar also better aligned actual risk estimates with intentions to see a doctor (F 1,3556=6.38, P=.01). No design factors had main effects on recall, but animated randomness was associated with better recall for those at lower risk and worse recall for those at higher risk (F 1,3544=7.06, P=.01). Conclusions Animated randomness may help people better understand the random nature of risk. However, in the context of cardiovascular risk, such understanding may result in lower healthy lifestyle intentions. Therefore, whether or not to display randomness may depend on whether one’s goal is to persuade or to inform. Avatars show promise for helping people grasp how population-based statistics map to an individual case.

On Holiday: A Risk Behavior Profile for Men Who Have Vacationed at Gay Resorts

Sexual risk behavior is higher when people vacation as compared to when they are at home. The current study uses survey data to compare sexual risk behavior of gay men who vacation at gay resorts to those who do not. Independent predictors of vacationing at gay resorts included income level, relationship status, ever having attended a circuit party, and HIV serostatus. For men who visit resorts to meet sex partners, independent predictors included relationship status, ever having attended a circuit party, HIV serostatus, number of male sex partners in the past six months, and number of anal insertive male partners using a condom. These results show a need for the development of structural interventions in the gay resort and hotel setting.

Effects of Design Features of Explicit Values Clarification Methods A Systematic Review

Background. Diverse values clarification methods exist. It is important to understand which, if any, of their design features help people clarify values relevant to a health decision. Purpose. To explore the effects of design features of explicit values clarification methods on outcomes including decisional conflict, values congruence, and decisional regret. Data Sources. MEDLINE, all EBM Reviews, CINAHL, EMBASE, Google Scholar, manual search of reference lists, and expert contacts. Study Selection. Articles were included if they described the evaluation of 1 or more explicit values clarification methods. Data Extraction. We extracted details about the evaluation, whether it was conducted in the context of actual or hypothetical decisions, and the results of the evaluation. We combined these data with data from a previous review about each values clarification method’s design features. Data Synthesis. We identified 20 evaluations of values clarification methods within 19 articles. Reported outcomes were heterogeneous. Few studies reported values congruence or postdecision outcomes. The most promising design feature identified was explicitly showing people the implications of their values, for example, by displaying the extent to which each of their decision options aligns with what matters to them. Limitations. Because of the heterogeneity of outcomes, we were unable to perform a meta-analysis. Results should be interpreted with caution. Conclusions. Few values clarification methods have been evaluated experimentally. More research is needed to determine effects of different design features of values clarification methods and to establish best practices in values clarification. When feasible, evaluations should assess values congruence and postdecision measures of longer-term outcomes.

Understanding ethical dilemmas in the emergency department: views from medical students' essays.

BACKGROUND For medical students, the emergency department (ED) often presents ethical problems not encountered in other settings. In many medical schools there is little ethics training during the clinical years. The benefits of reflective essay writing in ethics and professionalism education are well established. OBJECTIVES The purpose of this study was to determine and categorize the types of ethical dilemmas and scenarios encountered by medical students in the ED through reflective essays. METHODS During a 4(th)-year emergency medicine rotation, all medical students wrote brief essays on an ethical situation encountered in the ED, and participated in an hour debriefing session about these essays. Qualitative analysis was performed to determine common themes from the essays. The frequency of themes was calculated. RESULTS The research team coded 173 essays. The most common ethical themes were autonomy (41%), social justice (32.4%), nonmaleficence (31.8%), beneficence (26.6%), fidelity (12%), and respect (8.7%). Many of the essays contained multiple ethical principles that were often in conflict with each other. In one essay, a student grappled with the decision to intubate a patient despite a preexisting do-not-resuscitate order. This patient encounter was coded with autonomy, beneficence, and nonmaleficence. Common scenarios included ethical concerns when caring for critical patients, treatment of pain, homeless or alcoholic patients, access to care, resource utilization, and appropriateness of care. CONCLUSION Medical students encounter patients with numerous ethically based issues. Frequently, they note conflicts between ethical principles. Such essays constitute an important resource for faculty, resident, and student ethics training.

Can Text Messages Increase Empathy and Prosocial Behavior? The Development and Initial Validation of Text to Connect.

To what extent can simple mental exercises cause shifts in empathic habits? Can we use mobile technology to make people more empathic? It may depend on how empathy is measured. Scholars have identified a number of different facets and correlates of empathy. This study is among the first to take a comprehensive, multidimensional approach to empathy to determine how empathy training could affect these different facets and correlates. In doing so, we can learn more about empathy and its multifaceted nature. Participants (N = 90) were randomly assigned to receive either an empathy-building text message program (Text to Connect) or one of two control conditions (active versus passive). Respondents completed measures of dispositional empathy (i.e. self-perceptions of being an empathic person), affective empathy (i.e. motivations to help, immediate feelings of empathic concern), and prosocial behavior (i.e. self-reports and observer-reports) at baseline, and then again after the 14 day intervention period. We found that empathy-building messages increased affective indicators of empathy and prosocial behaviors, but actually decreased self-perceptions of empathy, relative to control messages. Although the brief text messaging intervention did not consistently impact empathy-related personality traits, it holds promise for the use of mobile technology for changing empathic motivations and behaviors.

Use of the Carolina HPV Immunization Attitudes and Beliefs Scale (CHIAS) in young adult women.

Background Validated measures that can accurate describe young adults’ HPV vaccination attitudes and how these relate to vaccination intention and receipt are needed for developing interventions to improve low HPV vaccination levels. The Carolina HPV Immunization Attitudes Scale (CHIAS) is a validated measure of these outcomes that was originally designed for parents. Objective To assess the performance of the CHIAS among young adult women using an exploratory factor analysis. Methods A convenience sample of 139 young adult women (age 18–26 years) were given the CHIAS measure at baseline. Factor analysis was used to determine attitudinal factor groupings and the association of these factors with HPV vaccination intention. A 6-month follow up assessment examined the stability of the CHIAS over time and the association of baseline vaccine factors with vaccine receipt. Results Five factors loaded on to the CHIAS in young adults - “Barriers,” “Harms,” “Effectiveness,” “Risk Denial” and “Uncertainty,” - which was similar to the factor loadings of CHIAS for parents. “Harms” was the factor most consistently associated with vaccination intention at all time points assessed. Only 5 women had received or made an appointment to receive the vaccine at the 6-month follow-up. Conclusions In terms of categorizing HPV vaccination attitudes, the CHIAS appears to have similar performance among young adults as in parents. However, additional studies are needed to assess the utility of the CHIAS for predicting HPV vaccine receipt among the young adult population.