Numeric, verbal, and visual formats of conveying health risks: suggested best practices and future recommendations

Exploring health literacy and preferences for risk communication among medical oncology patients

Objective

To explore adult medical oncology outpatients’ understanding of and preferences for the format of health risk information.

Methods

Two surveys, one assessing sociodemographic characteristics and a second survey examining perceptions of risk information.

Results

Of the 361 (74%) consenting patients, 210 completed at least one question on risk communication. 17% to 65% of patients understood numeric risk information, depending on the format of the information. More than 50% of people interpreted a “very good” chance of remission as greater than 80%, greater than 90% or 100%. The most preferred format of information was in both words and numbers (38% to 43%) followed by words alone (28% to 30%).

Conclusion

Numeric risk information is understood by 17% to 65% of respondents, depending on the format. Interpretation of verbal risk information is highly variable, posing a risk of misunderstanding. Provision of information in both words and numbers may assist in aiding comprehension.

Communicating risk of medication side-effects: role of communication format on risk perception

Background:

Medication side-effects often arouse fear in the minds of consumers and therefore need to be communicated in a manner such that the intended message is clearly understood, without causing undue fear.

Objectives:

Considering the message format and contextual factors that influence perceptions of risk, this study aimed at assessing the interaction effects of message format and contextual factors (rate of occurrence and severity) on risk perception of medication side-effects.

Methods:

Using Rhormann’s risk communication process model, a 2 (message format: words-only vs. words + numeric) X 2 (rate of occurrence: high vs low) X 2 (severity: mild vs severe) experimental factorial study was designed. Participants were presented with four of eight possible combinations of the three factors and were asked to indicate the risk perception with the associated side-effects. Repeated measures analysis was conducted while adjusting for control variables.

Results:

A total of 196 completed surveys were collected. Communication format did not have significant main effect on risk perception (P=0.4237) but demonstrated a significant interaction with rate of occurrence (P=0.0001). As compared to words-only format, least square means for words + numeric format were lower among low-rate side-effects but were higher among high-rate side-effects. Rate of occurrence (P<0.0001) and severity (P<0.0001) had significant main effects on risk perception as well as interaction effect with each other (P<0.0001).

Conclusions:

The results indicated that effect of communication format on risk perception of side-effect is dependent on the underlying rate of occurrence of side-effect. Healthcare providers should therefore carefully construct risk communication messages for effective communication with patients.

A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers: study protocol

BACKGROUND

Cancer is a leading cause of mortality and morbidity worldwide. Prevention is recognised by many, including the World Health Organization, to offer the most cost-effective long-term strategy for the control of cancer. One approach that focuses on individuals is the provision of personalised risk information. However, whether such information motivates behaviour change and whether the effect is different with varying formats of risk presentation is unclear. We aim to assess the short-term effect of providing information about personalised risk of cancer in three different formats alongside lifestyle advice on health-related behaviours, risk perception and risk conviction.

METHODS

In a parallel group, randomised controlled trial 1000 participants will be recruited through the online platform Prolific. Participants will be allocated to either a control group receiving cancer-specific lifestyle advice alone or one of three intervention groups receiving the same lifestyle advice alongside their estimated 10-year risk of developing one of the five most common preventable cancers, calculated from self-reported modifiable behavioural risk factors, in one of three different formats (bar chart, pictograph or qualitative scale). The primary outcome is change from baseline in computed risk relative to an individual with a recommended lifestyle at three months. Secondary outcomes include: perceived risk of cancer; anxiety; cancer-related worry; intention to change behaviour; and awareness of cancer risk factors.

DISCUSSION

This study will provide evidence on the short-term effect of providing online information about personalised risk of cancer alongside lifestyle advice on risk perception and health-related behaviours and inform the development of interventions.

TRIAL REGISTRATION

ISRCTN17450583. Registered 30 January 2018.

Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations

A single risk factor can increase the risk of developing multiple diseases, but most risk communication research has been conducted in the context of a single disease. We explored which combination of three recommended risk communication strategies is most effective in simultaneously conveying risk estimates of four diseases associated with physical inactivity: colon cancer, stroke, diabetes, and heart disease. Participants (N = 1161, 50% no college experience, 50% racial/ethnic minority) were shown hypothetical risk estimates for each of the four diseases. All four diseases were placed at varying heights on 1 of 12 vertical bar charts (i.e., "risk ladders") to indicate their respective probabilities. The risk ladders varied in a 2 (risk reduction information: present/absent) × 2 (numerical format: words/words and numbers) × 3 (social comparison information: none/somewhat higher than average/much higher than average) full factorial design. Participants were randomly assigned to view one of the risk ladders and then completed a questionnaire assessing message comprehension, message acceptance, physical activity-related risk and efficacy beliefs, and physical activity intentions. Higher message acceptance was found among (1) people who received risk reduction information versus those who did not (p = .01), and (2) people who did not receive social comparison information versus those told that they were at higher than average risk (p = .03). Further, absolute cognitive perceived risk of developing "any of the diseases shown in the picture" was higher among people who did not receive social comparison information (p = .03). No other main effects and only very few interactions with demographic variables were found. Combining recommended risk communication strategies did not improve or impair key cognitive or affective precursors of health behavior change. It might not be necessary to provide people with extensive information when communicating risk estimates of multiple diseases.

Ethical challenges in resuscitation

PURPOSE

A rapidly evolving resuscitation science provides more effective treatments to an aging population with multiple comorbidites. Concurrently, emergency care has become patient-centered. This review aims to describe challenges associated with the application of key principles of bioethics in resuscitation and post-resuscitation care; propose actions to address these challenges; and highlight the need for evidence-based ethics and consensus on ethical principles interpretation.

METHODS

Following agreement on the article's outline, subgroups of 2-3 authors provided narrative reviews of ethical issues concerning autonomy and honesty, beneficence/nonmaleficence and dignity, justice, specific practices/circumstances such as family presence during resuscitation, and emergency research. Proposals for addressing ethical challenges were also offered.

RESULTS

Respect for patient autonomy can be realized through honest provision of information, shared decision-making, and advance directives/care planning. Essential prerequisites comprise public and specific healthcare professionals' education, appropriate regulatory provisions, and allocation of adequate resources. Regarding beneficence/nonmaleficence, resuscitation should benefit patients, while avoiding harm from futile interventions; pertinent practice should be based on neurological prognostication and patient/family-reported outcomes. Regarding dignity, aggressive life-sustaining treatments against patients preferences should be avoided. Contrary to the principle of justice, resuscitation quality may be affected by race/income status, age, ethnicity, comorbidity, and location (urban versus rural or country-specific/region-specific). Current evidence supports family presence during resuscitation. Regarding emergency research, autonomy should be respected without hindering scientific progress; furthermore, transparency of research conduct should be promoted and funding increased.

CONCLUSIONS

Major ethical challenges in resuscitation science need to be addressed through complex/resource-demanding interventions. Such actions require support by ongoing/future research.

What to say and how to say it: effective communication for cardiovascular disease prevention

PURPOSE OF REVIEW

Current guidelines for cholesterol treatment emphasize the importance of engaging patients in a risk-benefit discussion prior to initiating statin therapy.

RECENT FINDINGS

Although current risk prediction algorithms are well defined, there is less data on how to communicate with patients about cardiovascular disease risk, benefits of treatment, and possible adverse effects.

SUMMARY

We propose a four-part model for effective shared decision-making: 1) Assessing patient priorities, perceived risk, and prior experience with cardiovascular risk reduction; 2) Arriving at a recommendation for therapy based on the patient's risk of disease, guideline recommendations, new clinical trial data, and patient preferences; 3) Communicating this recommendation along with risks, benefits, and alternatives to therapy following best practices for discussing numeric risk; and 4) Arriving at a shared decision with the patient with ongoing reassessment as risk factors and patient priorities change.

Designing Graphs that Promote Both Risk Understanding and Behavior Change

Graphs show promise for improving communications about different types of risks, including health risks, financial risks, and climate risks. However, graph designs that are effective at meeting one important risk communication goal (promoting risk-avoidant behaviors) can at the same time compromise another key goal (improving risk understanding). We developed and tested simple bar graphs aimed at accomplishing these two goals simultaneously. We manipulated two design features in graphs, namely, whether graphs depicted the number of people affected by a risk and those at risk of harm ("foreground+background") versus only those affected ("foreground-only"), and the presence versus absence of simple numerical labels above bars. Foreground-only displays were associated with larger risk perceptions and risk-avoidant behavior (i.e., willingness to take a drug for heart attack prevention) than foreground+background displays, regardless of the presence of labels. Foreground-only graphs also hindered risk understanding when labels were not present. However, the presence of labels significantly improved understanding, eliminating the detrimental effect of foreground-only displays. Labels also led to more positive user evaluations of the graphs, but did not affect risk-avoidant behavior. Using process modeling we identified mediators (risk perceptions, understanding, user evaluations) that explained the effect of display type on risk-avoidant behavior. Our findings contribute new evidence to the graph design literature: unlike what was previously feared, we demonstrate that it is possible to design foreground-only graphs that promote intentions for behavior change without a detrimental effect on risk understanding. Implications for the design of graphical risk communications and decision support are discussed.

Towards Prevention of Breast Cancer: What Are the Clinical Challenges?

The dramatic increase in breast cancer incidence compels a paradigm shift in our preventive efforts. There are several barriers to overcome before prevention becomes an established part of breast cancer management. The objective of this review is to identify the clinical challenges for improved breast cancer prevention and discuss current knowledge on breast cancer risk assessment methods, risk communication, ethics, and interventional efforts with the aim of covering the aspects relevant for a breast cancer prevention trial. Herein, the following five areas are discussed: (i) Adequate tools for identification of women at high risk of breast cancer suggestively entitled Prevent! Online. (ii) Consensus on the definition of high risk, which is regarded as mandatory for all risk communication and potential prophylactic interventions. (iii) Risk perception and communication regarding risk information. (iv) Potential ethical concerns relevant for future breast cancer prevention programs. (v) Risk-reducing programs involving multileveled prevention depending on identified risk. Taken together, devoted efforts from both policy makers and health care providers are warranted to improve risk assessment and risk counseling in women at risk for breast cancer to optimize the prevention of breast cancer. Cancer Prev Res; 11(5); 255-64. ©2018 AACR.

Information visualisation as a resource for popularising the technical-biomedical aspects of the last Ebola virus epidemic: The case of the Spanish reference press

This study explores the role that information visualisation played in the popularisation of the technical-biomedical aspects of the last Ebola virus epidemic, the most devastating to date. Applying content analysis methods, the total population of information visualisations ( N = 209) was coded and analysed to identify topics, and to define features and identify patterns in the images. The corpus was based on the record of articles with graphics appearing in five Spanish reference newspapers from 22 March 2014 to 13 January 2016, the start and suppression of the epidemic, respectively. The results suggest that information visualisation was a key factor in the popularisation of the epidemic's technical-biomedical aspects, as well as contributing actively to construct, in the words of Myers, a narrative of nature.

Communicating Low-Probability High-Consequence Risk, Uncertainty and Expert Confidence: Induced Seismicity of Deep Geothermal Energy and Shale Gas

Subsurface energy activities entail the risk of induced seismicity including low-probability high-consequence (LPHC) events. For designing respective risk communication, the scientific literature lacks empirical evidence of how the public reacts to different written risk communication formats about such LPHC events and to related uncertainty or expert confidence. This study presents findings from an online experiment (N = 590) that empirically tested the public's responses to risk communication about induced seismicity and to different technology frames, namely deep geothermal energy (DGE) and shale gas (between-subject design). Three incrementally different formats of written risk communication were tested: (i) qualitative, (ii) qualitative and quantitative, and (iii) qualitative and quantitative with risk comparison. Respondents found the latter two the easiest to understand, the most exact, and liked them the most. Adding uncertainty and expert confidence statements made the risk communication less clear, less easy to understand and increased concern. Above all, the technology for which risks are communicated and its acceptance mattered strongly: respondents in the shale gas condition found the identical risk communication less trustworthy and more concerning than in the DGE conditions. They also liked the risk communication overall less. For practitioners in DGE or shale gas projects, the study shows that the public would appreciate efforts in describing LPHC risks with numbers and optionally risk comparisons. However, there seems to be a trade-off between aiming for transparency by disclosing uncertainty and limited expert confidence, and thereby decreasing clarity and increasing concern in the view of the public.

Quantitative Information on Oncology Prescription Drug Websites

Our objective was to determine whether and how quantitative information about drug benefits and risks is presented to consumers and healthcare professionals on cancer-related prescription drug websites. We analyzed the content of 65 active cancer-related prescription drug websites. We assessed the inclusion and presentation of quantitative information for two audiences (consumers and healthcare professionals) and two types of information (drug benefits and risks). Websites were equally likely to present quantitative information for benefits (96.9 %) and risks (95.4 %). However, the amount of the information differed significantly: Both consumer-directed and healthcare-professional-directed webpages were more likely to have quantitative information for every benefit (consumer 38.5 %; healthcare professional 86.1 %) compared with every risk (consumer 3.1 %; healthcare professional 6.2 %). The numeric and graphic presentations also differed by audience and information type. Consumers have access to quantitative information about oncology drugs and, in particular, about the benefits of these drugs. Research has shown that using quantitative information to communicate treatment benefits and risks can increase patients' and physicians' understanding and can aid in treatment decision-making, although some numeric and graphic formats are more useful than others.

Limitations of the S-TOFHLA in measuring poor numeracy: a cross-sectional study

Background

Although the Short Test of Functional Health Literacy in Adults (S-TOFHLA) is widely used, misidentification of individuals with low health literacy (HL) in specific HL dimensions, like numeracy, is a concern. We examined the degree to which individuals scored as “adequate” HL on the S-TOFHLA would be considered as having low HL by two additional numerical measures.

Methods

English-speaking adults aged 45–75 years were recruited from a large, urban academic medical center and a community foodbank in the United States. Participants completed the S-TOFHLA, the Subjective Numeracy Scale (SNS), and the Graphical Literacy Measure (GL), an objective measure of a person’s ability to interpret numeric information presented graphically. Established cut-points or a median split classified participants and having high and low numeracy.

Results

Participants (n = 187), on average were: aged 58 years; 63% female; 70% Black/African American; and 45% had a high school degree or less. Of those who scored “adequate” on the S-TOFHLA, 50% scored low on the SNS and 40% scored low on GL. Correlation between the S-TOFHLA and the SNS Total was moderate (r = 0.22, n = 186, p = 0.01), while correlation between the S-TOFHLA and the GL Total was large (r = 0.53, n = 187, p ≤ 0.01).

Conclusions

Findings suggest that the S-TOFHLA may not capture an individuals’ HL in the dimension of numeracy. Efforts are needed to develop more encompassing and practical strategies for identifying those with low HL for use in research and clinical practice.

Trial registration

NCT02151032 (retrospectively registered: May 30, 2014).

Communicating risk in dementia care: Survey of health and social care professionals

Supporting people to live at home in line with community care policies requires increasing attention to assessing, communicating and managing risks. There is a challenge in supporting client choices that include risk-taking while demonstrating professional accountability. Risk communication becomes increasingly important with the need to engage clients and families in meaningful shared decision-making. This presents particular challenges in dementia services. This survey of risk communication in dementia care was administered to all health and social care professionals in community dementia services in Northern Ireland: June-September 2016. Of 270 professionals, 70 questionnaires were fully completed, with 55 partial completions. Scores on the Berlin Numeracy Test plus Schwartz items was low-moderate (mean 2.79 out of 7). This study did not find a significant association between numeracy and accurate perceptions of risk likelihoods in practice-based scenarios. Although 86% reported using numeric information in practice (mostly from assessment tools), respondents rarely communicated themselves using numbers. As in other domains, participants' responses were widely variable on numeric estimates of verbal terms for likelihood. In relation to medication side effects, few participants provided responses that were concordant with those in the guidance of the European Union. The risks most commonly encountered in practice were (in rank order): falls, depression, poor personal hygiene, medicines mismanagement, leaving home unsupervised, financial mismanagement, malnutrition, swallowing difficulties, abuse from others, risks to others, home appliance accidents and refusing equipment. Respondents generally overestimated the likelihood of serious harmful events by approximately 10-fold (having a missing person's report filed with the police; having a fall resulting in hospitalisation) and by approximately double (being involved in a car accident; causing a home fire), and with wide variation between respondents. There is potential in icon arrays for communicating risks. Risk literacy among dementia care practitioners needs to be developed.

Framing and visual type: Effect on future Zika vaccine uptake intent

Introduction

The Zika virus is associated with the birth defect microcephaly, and while a vaccine was not available in early- 2017, several were under development. This study's purpose was to identify effective communication strategies to promote uptake of a new vaccine, particularly among women of reproductive age.

Design and methods

In order to study the effects of Zika message framing (gain vs. loss) and visual type (photo vs. infographic) on future Zika vaccine uptake intent, a 2×2 between-subjects experiment was performed via an online survey in 2017 among 339 U.S. women of reproductive age (18-49 years). Participants were exposed to one of four messages, all resembling Instagram posts: gain-framed vs. loss-framed infographic, and gain-framed vs. loss-framed photo. These messages were followed by questions about Zika vaccine uptake intent as well as intermediate psychosocial variables that could lead to intent.

Results

There was no interaction between framing and visual type (P=0.116), and there was no effect for framing (P=0.185) or visual type (P=0.724) on future Zika vaccine uptake intent, which is likely indicative of insufficient dosage of the intervention. However, when focusing on intermediate psychosocial constructs that are known to influence behavior and intent, gain-framed messages were more effective in increasing subjective norms (P=0.005) as related to a future Zika vaccine, as well as perceived benefits (P=0.016) and self-efficacy (P=0.032).

Conclusions

Gain-framed messages seem to be more effective than loss-framed messages to increase several constructs that could, in turn, affect future Zika vaccine uptake intent. This is a novel finding since, traditionally, loss-framed messages are considered more beneficial in promoting vaccine-related health behaviors.

Investigating the Heterogeneity in Women's Preferences for Breast Screening: Does the Communication of Risk Matter?

BACKGROUND

The relative benefits and risks of screening programs for breast cancer have been extensively debated.

OBJECTIVES

To quantify and investigate heterogeneity in women's preferences for the benefits and risks of a national breast screening program (NBSP) and to understand the effect of risk communication format on these preferences.

METHODS

An online discrete choice experiment survey was designed to elicit preferences from female members of the public for an NBSP described by three attributes (probability of detecting a cancer, risk of unnecessary follow-up, and out-of-pocket screening costs). Survey respondents were randomized to one of two surveys, presenting risk either as percentages only or as icon arrays and percentages. Respondents were required to choose between two hypothetical NBSPs or no screening in 11 choice sets generated using a Bayesian D-efficient design. The trade-offs women made were analyzed using heteroskedastic conditional logit and scale-adjusted latent class models.

RESULTS

A total of 1018 women completed the discrete choice experiment (percentages-only version = 507; icon arrays and percentages version = 511). The results of the heteroskedastic conditional logit model suggested that, on average, women were willing-to-accept 1.72 (confidence interval 1.47-1.97) additional unnecessary follow-ups and willing-to-pay £79.17 (confidence interval £66.98-£91.35) for an additional cancer detected per 100 women screened. Latent class analysis indicated substantial heterogeneity in preferences with six latent classes and three scale classes providing the best fit. The risk communication format received was not a predictor of scale class or preference class membership.

CONCLUSIONS

Most women were willing to trade-off the benefits and risks of screening, but decision makers seeking to improve uptake should consider the disparate needs of women when configuring services.

The Effects of Twitter Users' Gender and Weight on Viral Behavioral Intentions Toward Obesity-Related News

In this study, male and female participants were exposed to identical news stories covering obesity topics paired with tweets from Twitter users. Our study aimed at understanding how obesity-related news combined with user-generated social media posts (i.e., tweets) affect consumers' evaluations of online content and viral behavioral intentions (the intentions to like, share, and comment). An experiment (N = 316) explored how gender and weight of a Twitter user (tweeter) affect participants' evaluations and viral behavioral intentions toward news stories. Participants differed in their evaluations of and viral behavioral intentions for news stories as a function of Twitter users' gender and weight, as well as participants' gender. While participants expressed more favorable attitudes toward news stories paired with tweets by overweight than healthy females (with the opposite true for tweets by male users), participants expressed greater viral behavioral intentions for news stories paired with tweets by healthy weight than overweight user. These effects were more pronounced among male than female participants. Findings are discussed within the context of social media posts and their persuasive effects in relation to attitude and behavior changes.

Biasing and debiasing health decisions with bar graphs: Costs and benefits of graph literacy

Bar graphs can improve risk communication in medicine and health. Unfortunately, recent research has revealed that bar graphs are associated with a robust bias that can lead to systematic judgement and decision-making errors. When people view bar graphs representing means, they tend to believe that data points located within bars are more likely to be part of the underlying distributions than equidistant points outside bars. In three experiments, we investigated potential consequences, key cognitive mechanisms, and generalisability of the within-the-bar bias in the medical domain. We also investigated the effectiveness of different interventions to reduce the effect of this bias and protect people from errors. Results revealed that the within-the-bar bias systematically affected participants’ judgements and decisions concerning treatments for controlling blood glucose, as well as their interpretations of ecological graphs designed to guide health policy decisions. Interestingly, individuals with higher graph literacy showed the largest biases. However, the use of dot plots to replace bars improved the accuracy of interpretations. Perceptual mechanisms underlying the within-the-bar bias and prescriptive implications for graph design are discussed.

What Factors Influence Women's Perceptions of their Systemic Recurrence Risk after Breast Cancer Treatment?

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.

On Effective Graphic Communication of Health Inequality: Considerations for Health Policy Researchers

Policy Points: Effective graphs can be a powerful tool in communicating health inequality. The choice of graphs is often based on preferences and familiarity rather than science. According to the literature on graph perception, effective graphs allow human brains to decode visual cues easily. Dot charts are easier to decode than bar charts, and thus they are more effective. Dot charts are a flexible and versatile way to display information about health inequality. Consistent with the health risk communication literature, the captions accompanying health inequality graphs should provide a numerical, explicitly calculated description of health inequality, expressed in absolute and relative terms, from carefully thought-out perspectives.

CONTEXT

Graphs are an essential tool for communicating health inequality, a key health policy concern. The choice of graphs is often driven by personal preferences and familiarity. Our article is aimed at health policy researchers developing health inequality graphs for policy and scientific audiences and seeks to (1) raise awareness of the effective use of graphs in communicating health inequality; (2) advocate for a particular type of graph (ie, dot charts) to depict health inequality; and (3) suggest key considerations for the captions accompanying health inequality graphs.

METHODS

Using composite review methods, we selected the prevailing recommendations for improving graphs in scientific reporting. To find the origins of these recommendations, we reviewed the literature on graph perception and then applied what we learned to the context of health inequality. In addition, drawing from the numeracy literature in health risk communication, we examined numeric and verbal formats to explain health inequality graphs.

FINDINGS

Many disciplines offer commonsense recommendations for visually presenting quantitative data. The literature on graph perception, which defines effective graphs as those allowing the easy decoding of visual cues in human brains, shows that with their more accurate and easier-to-decode visual cues, dot charts are more effective than bar charts. Dot charts can flexibly present a large amount of information in limited space. They also can easily accommodate typical health inequality information to describe a health variable (eg, life expectancy) by an inequality domain (eg, income) with domain groups (eg, poor and rich) in a population (eg, Canada) over time periods (eg, 2010 and 2017). The numeracy literature suggests that a health inequality graph's caption should provide a numerical, explicitly calculated description of health inequality expressed in absolute and relative terms, from carefully thought-out perspectives.

CONCLUSIONS

Given the ubiquity of graphs, the health inequality field should learn from the vibrant multidisciplinary literature how to construct effective graphic communications, especially by considering to use dot charts.

Survey of risks and benefits communication strategies by research nurses

BACKGROUND

An ethical, informed consent process requires that potential participants understand the study, their rights, and the risks and benefits. Yet, despite strategies to improve communication, many participants still lack understanding of potential risks and benefits. Investigating attitudes and practices of research nurses can identify ways to improve the informed consent process.

RESEARCH QUESTION

What are the attitudes, practices, and preparedness of nurses involved in the informed consent process regarding communication of risks and benefits?

RESEARCH DESIGN

A survey was developed and administered online to a national purposive sample of 107 research nurses with experience obtaining informed consent for clinical trials. Survey responses stratified by selected work-related characteristics were analyzed.

ETHICAL CONSIDERATIONS

Participants were instructed they need not answer each question and could stop at any time. They consented by clicking "accept" on the email which linked to the survey. The study was approved by the Northeastern University Institutional Review Board, Boston, Massachusetts (NU-IRB Protocol #: 13-06-17).

FINDINGS

Most research nurses (87%) used a teach-back method to assess participant comprehension, while 72% relied on their intuition. About one-third did not feel prepared to communicate related statistics. About 20% did not feel prepared to tailor information, and half did not feel competent using supplemental materials to enhance risks and benefits comprehension. Only 70% had received training in the informed consent process which included in-person training (84%), case studies (69%), online courses (57%), feedback during practice sessions (54%), and simulation, such as role playing (49%) and viewing videos (45%). Perceived preparedness was significantly associated with greater informed consent experience and training.

CONCLUSION

Research nurses may have inadequate training to encourage, support, and reinforce communication of risks and benefits during the informed consent process. Relevant purposeful education and training should help to improve and standardize the ethical informed consent process.

Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding

Most Americans recognize that smoking causes serious diseases, yet many Americans continue to smoke. One possible explanation for this paradox is that perhaps Americans do not accurately perceive the extent to which smoking increases the probability of adverse health outcomes. This paper examines the accuracy of Americans' perceptions of the absolute risk, attributable risk, and relative risk of lung cancer, and assesses which of these beliefs drive Americans' smoking behavior. Using data from three national surveys, statistical analyses were performed by comparing means, medians, and distributions, and by employing Generalized Additive Models. Perceptions of relative risk were associated as expected with smoking onset and smoking cessation, whereas perceptions of absolute risk and attributable risk were not. Additionally, the relation of relative risk with smoking status was stronger among people who held their risk perceptions with more certainty. Most current smokers, former smokers, and never-smokers considerably underestimated the relative risk of smoking. If, as this paper suggests, people naturally think about the health consequences of smoking in terms of relative risk, smoking rates might be reduced if public understanding of the relative risks of smoking were more accurate and people held those beliefs with more confidence.

Visualizing risks in cancer communication: A systematic review of computer-supported visual aids

OBJECTIVE

Health websites are becoming important sources for cancer information. Lay users, patients and carers seek support for critical decisions, but they are prone to common biases when quantitative information is presented. Graphical representations of risk data can facilitate comprehension, and interactive visualizations are popular. This review summarizes the evidence on computer-supported graphs that present risk data and their effects on various measures.

METHODS

The systematic literature search was conducted in several databases, including MEDLINE, EMBASE and CINAHL. Only studies with a controlled design were included. Relevant publications were carefully selected and critically appraised by two reviewers.

RESULTS

Thirteen studies were included. Ten studies evaluated static graphs and three dynamic formats. Most decision scenarios were hypothetical. Static graphs could improve accuracy, comprehension, and behavioural intention. But the results were heterogeneous and inconsistent among the studies. Dynamic formats were not superior or even impaired performance compared to static formats.

CONCLUSIONS

Static graphs show promising but inconsistent results, while research on dynamic visualizations is scarce and must be interpreted cautiously due to methodical limitations.

PRACTICE IMPLICATIONS

Well-designed and context-specific static graphs can support web-based cancer risk communication in particular populations. The application of dynamic formats cannot be recommended and needs further research.

Progress in evidence-based medicine: a quarter century on

In response to limitations in the understanding and use of published evidence, evidence-based medicine (EBM) began as a movement in the early 1990s. EBM's initial focus was on educating clinicians in the understanding and use of published literature to optimise clinical care, including the science of systematic reviews. EBM progressed to recognise limitations of evidence alone, and has increasingly stressed the need to combine critical appraisal of the evidence with patient's values and preferences through shared decision making. In another progress, EBM incorporated and further developed the science of producing trustworthy clinical practice guidelines pioneered by investigators in the 1980s. EBM's enduring contributions to clinical medicine include placing the practice of medicine on a solid scientific basis, the development of more sophisticated hierarchies of evidence, the recognition of the crucial role of patient values and preferences in clinical decision making, and the development of the methodology for generating trustworthy recommendations.

Evaluation of community provision of a preventive cardiovascular programme - the National Health Service Health Check in reaching the under-served groups by primary care in England: cross sectional observational study

Background

Cardiovascular disease (CVD) is the leading cause of premature mortality and a major contributor of health inequalities in England. Compared to more affluent and white counterparts, deprived people and ethnic minorities tend to die younger due to preventable CVD associated with lifestyle. In addition, deprived, ethnic minorities and younger people are less likely to be served by CVD prevention services. This study assessed the effectiveness of community-based outreach providers in delivering England’s National Health Services (NHS) Health Check programme, a CVD preventive programme to under-served groups.

Methods

Between January 2008 and October 2013, community outreach providers delivered a preventive CVD programme to 50,573 individuals, in their local communities, in a single consultation without prescheduled appointments. Community outreach providers operated on evenings and weekends as well as during regular business hours in venues accessible to the general public. After exclusion criteria, we analysed and compared socio-demographic data of 43,177 Health Check attendees with the general population across 38 local authorities (LAs). We assessed variation between local authorities in terms of age, sex, deprivation and ethnicity structures using two sample t-tests and within local authority variation in terms of ethnicity and deprivation using Chi squared tests and two sample t-tests respectively.

Results

Using Index of Multiple Deprivation, the mean deprivation score of the population reached by community outreach providers was 6.01 higher (p < 0.05) than the general population. Screened populations in 29 of 38 LAs were significantly more deprived (p < 0.05). No statistically significant difference among ethnic minority groups was observed between LAs. Nonetheless some LAs – namely Leicester, Thurrock, Sutton, South Tyneside, Portsmouth and Gateshead were very successful in recruiting ethnic minority groups. The mean proportion of men screened was 11.39% lower (p < 0.001) and mean proportion of 40–49 and 50–59 year olds was 9.98% and 3.58% higher (p < 0.0001 and p < 0.01 respectively) than the general population across 38 LAs.

Conclusions

Community-based outreach providers effectively reach under-served groups by delivering preventive CVD services to younger, more deprived populations, and a representative proportion of ethnic minority groups. If the programme is successful in motivating the under-served groups to improve lifestyle, it may reduce health inequalities therein.

Interventions to support risk and benefit understanding of disease-modifying drugs in Multiple Sclerosis patients: A systematic review

OBJECTIVE

The present review evaluates interventions that have been designed to improve understanding of the complex risk-benefit profiles of disease-modifying drugs (DMDs) in patients with Multiple Sclerosis (MS).

METHODS

A systematic search conducted using PubMed, Embase, Google Scholar and PsycINFO identified 15 studies. Interventions which provided treatment information were present across a range of study designs. A narrative synthesis was conducted due to heterogeneity of research findings.

RESULTS

Interventions providing treatment information ranged from comprehensive education programmes to booklets of a few pages. MS patients favoured the interventions they received. Understanding of overall treatment information and treatment risks specifically, generally improved following interventions. Yet overestimation of treatment benefits persisted. There was no conclusive effect on DMD decisions. No superior intervention was identified.

CONCLUSION

Interventions designed to improve understanding of DMD risk and benefit information are moderately successful.

PRACTICE IMPLICATIONS

Additional support provided to MS patients beyond routine healthcare can generally improve understanding of the complex risk-benefit profiles of DMDs. Future interventions need to ensure that patients with symptoms that may confound understanding can also benefit from this additional information.

Designing Visual Aids That Promote Risk Literacy: A Systematic Review of Health Research and Evidence-Based Design Heuristics

Background Effective risk communication is essential for informed decision making. Unfortunately, many people struggle to understand typical risk communications because they lack essential decision-making skills. Objective The aim of this study was to review the literature on the effect of numeracy on risk literacy, decision making, and health outcomes, and to evaluate the benefits of visual aids in risk communication. Method We present a conceptual framework describing the influence of numeracy on risk literacy, decision making, and health outcomes, followed by a systematic review of the benefits of visual aids in risk communication for people with different levels of numeracy and graph literacy. The systematic review covers scientific research published between January 1995 and April 2016, drawn from the following databases: Web of Science, PubMed, PsycINFO, ERIC, Medline, and Google Scholar. Inclusion criteria were investigation of the effect of numeracy and/or graph literacy, and investigation of the effect of visual aids or comparison of their effect with that of numerical information. Thirty-six publications met the criteria, providing data on 27,885 diverse participants from 60 countries. Results Transparent visual aids robustly improved risk understanding in diverse individuals by encouraging thorough deliberation, enhancing cognitive self-assessment, and reducing conceptual biases in memory. Improvements in risk understanding consistently produced beneficial changes in attitudes, behavioral intentions, trust, and healthy behaviors. Visual aids were found to be particularly beneficial for vulnerable and less skilled individuals. Conclusion Well-designed visual aids tend to be highly effective tools for improving informed decision making among diverse decision makers. We identify five categories of practical, evidence-based guidelines for heuristic evaluation and design of effective visual aids.

Implementing an Internet-Delivered Skin Cancer Genetic Testing Intervention to Improve Sun Protection Behavior in a Diverse Population: Protocol for a Randomized Controlled Trial

Background

Limited translational genomic research currently exists to guide the availability, comprehension, and appropriate use of personalized genomics in diverse general population subgroups. Melanoma skin cancers are preventable, curable, common in the general population, and disproportionately increasing in Hispanics.

Objective

Variants in the melanocortin-1 receptor (MC1R) gene are present in approximately 50% of the population, are major factors in determining sun sensitivity, and confer a 2-to-3-fold increase in melanoma risk in the general population, even in populations with darker skin. Therefore, feedback regarding MC1R risk status may raise risk awareness and protective behavior in the general population.

Methods

We are conducting a randomized controlled trial examining Internet presentation of the risks and benefits of personalized genomic testing for MC1R gene variants that are associated with increased melanoma risk. We will enroll a total of 885 participants (462 participants are currently enrolled), who will be randomized 6:1 to personalized genomic testing for melanoma risk versus waiting list control. Control participants will be offered testing after outcome assessments. Participants will be balanced across self-reported Hispanic versus non-Hispanic ethnicity (n=750 in personalized genomic testing for melanoma risk arm; n=135 in control arm), and will be recruited from a general population cohort in Albuquerque, New Mexico, which is subject to year-round sun exposure. Baseline surveys will be completed in-person with study staff and follow-up measures will be completed via telephone.

Results

Aim 1 of the trial will examine the personal utility of personalized genomic testing for melanoma risk in terms of short-term (3-month) sun protection and skin screening behaviors, family and physician communication, and melanoma threat and control beliefs (ie, putative mediators of behavior change). We will also examine potential unintended consequences of testing among those who receive average-risk personalized genomic testing for melanoma risk findings, and examine predictors of sun protection at 3 months as the outcome. These findings will be used to develop messages for groups that receive average-risk feedback. Aim 2 will compare rates of test consideration in Hispanics versus non-Hispanics, including consideration of testing pros and cons and registration of a decision to either accept or decline testing. Aim 3 will examine personalized genomic testing for melanoma risk feedback comprehension, recall, satisfaction, and cancer-related distress in those who undergo testing, and whether these outcomes differ by ethnicity (Hispanic vs non-Hispanic), or sociocultural or demographic factors. Final outcome data collection is anticipated to be complete by October 2017, at which point data analysis will commence.

Conclusions

This study has important implications for personalized genomics in the context of melanoma risk, and may be broadly applicable as a model for delivery of personalized genomic feedback for other health conditions.

Designing Graphs to Communicate Risks: Understanding How the Choice of Graphical Format Influences Decision Making

Previous research suggests that the choice of graphical format for communicating risk information affects both understanding of the risk magnitude and the likelihood of acting to decrease risk. However, the mechanisms through which these effects work are poorly understood. To explore these mechanisms using a real-world scenario, we examined the relative impact of two graphical displays for depicting the risk of exposure to unexploded ammunition during potential land redevelopment. One display depicted only the foreground information graphically (a bar graph of the number of people harmed), and a second depicted the foreground and background graphically (a stacked bar graph representing both the number harmed and at risk). We presented 296 participants with either the foreground-only or the foreground and background graphical display and measured a broad set of outcome variables, examining (1) the graphical display effect on each of the outcome measures and (2) the pathways by which any display effects work to influence decision making. We found that the foreground-only graphical display increased perceived likelihood and experienced fear, which produced greater worry, which in turn increased risk aversion. In addition, a positive evaluation of the communication materials increased support for policies related to land redevelopment, whether those policies were risk taking or risk mitigating. Finally, the foreground-only graphical display decreased understanding of the risk magnitude, showing that approaches to accomplish one risk communication goal (promoting risk-averse decisions) may do so at the expense of another goal (increasing understanding).

Decision aids to increase living donor kidney transplantation

PURPOSE OF REVIEW

For the more than 636,000 adults with end-stage renal disease (ESRD) in the U.S., kidney transplantation is the preferred treatment compared to dialysis. Living donor kidney transplantation (LDKT) comprised 31% of kidney transplantations in 2015, an 8% decrease since 2004. We aimed to summarize the current literature on decision aids that could be used to improve LDKT rates.

RECENT FINDINGS

Decision aids are evidence-based tools designed to help patients and their families make difficult treatment decisions. LDKT decision aids can help ESRD patients, patients' family and friends, and healthcare providers engage in treatment decisions and thereby overcome multifactorial LDKT barriers.

SUMMARY

We identified 12 LDKT decision aids designed to provide information about LDKT, and/or to help ESRD patients identify potential living donors, and/or to help healthcare providers make decisions about treatment for ESRD or living donation. Of these, 4 were shown to be effective in increasing LDKT, donor inquiries, LDKT knowledge, and willingness to discuss LDKT. Although each LDKT decision aid has limitations, adherence to decision aid development guidelines may improve decision aid utilization and access to LDKT.

Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing, Decision Making, and Liking in an Eye-Tracking Study

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals' information processing and comprehension. In an eye-tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between-subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large-area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person-like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person-like restroom icons may maintain reader motivation for processing the risk information.

The impact of doctor-patient communication on patients' perceptions of their risk of breast cancer recurrence

PURPOSE

Doctor-patient communication is the primary way for women diagnosed with breast cancer to learn about their risk of distant recurrence. Yet little is known about how doctors approach these discussions.

METHODS

A weighted random sample of newly diagnosed early-stage breast cancer patients identified through SEER registries of Los Angeles and Georgia (2013-2015) was sent surveys about ~2 months after surgery (Phase 2, N = 3930, RR 68%). We assessed patient perceptions of doctor communication of risk of recurrence (i.e., amount, approach, inquiry about worry). Clinically determined 10-year risk of distant recurrence was established for low and intermediate invasive cancer patients. Women's perceived risk of distant recurrence (0-100%) was categorized into subgroups: overestimation, reasonably accurate, and zero risk. Understanding of risk and patient factors (e.g. health literacy, numeracy, and anxiety/worry) on physician communication outcomes was evaluated in multivariable regression models (analytic sample for substudy = 1295).

RESULTS

About 33% of women reported that doctors discussed risk of recurrence as "quite a bit" or "a lot," while 14% said "not at all." Over half of women reported that doctors used words and numbers to describe risk, while 24% used only words. Overestimators (OR .50, CI 0.31-0.81) or those who perceived zero risk (OR .46, CI 0.29-0.72) more often said that their doctor did not discuss risk. Patients with low numeracy reported less discussion. Over 60% reported that their doctor almost never inquired about worry.

CONCLUSIONS

Effective doctor-patient communication is critical to patient understanding of risk of recurrence. Efforts to enhance physicians' ability to engage in individualized communication around risk are needed.

The response to receiving phenotypic and genetic coronary heart disease risk scores and lifestyle advice - a qualitative study

BACKGROUND

Individuals routinely receive information about their risk of coronary heart disease (CHD) based on traditional risk factors as part of their primary care. We are also able to calculate individual's risk of CHD based on their genetic information and at present genetic testing for common diseases is available to the public. Due to the limitations in previous studies further understanding is needed about the impact of the risk information on individual's well-being and health-behaviour. We aimed to explore the short term response to receiving different forms of CHD risk information and lifestyle advice for risk reduction.

METHODS

We conducted fourty-one face-to-face interviews and two focus groups across England with participants from the INFORM trial who received a combination of individualised phenotypic and genotypic CHD risk scores and web-based lifestyle advice. Risk scores were presented in different formats, e.g. absolute 10 year risk was presented as a thermometer and expressed as a percentage, natural frequency and 'heart age'. Interviews and focus groups explored participants' understanding and reaction to the risk scores and attempts to change lifestyle during the intervention. We tape-recorded and transcribed the interviews and focus groups and analysed them using thematic analysis.

RESULTS

Three main themes were identified: limitations of risk scores to generate concern about CHD risk; the advantages of the 'heart age' format of risk score presentation in communicating a message of sub-optimal lifestyle; and intentions and attempts to make moderate lifestyle changes which were prompted by the web-based lifestyle advice.

CONCLUSIONS

There are a number of limitations to the use of risk scores to communicate a message about the need for a lifestyle change. Of the formats used, the 'heart age', if noticed, appears to convey the most powerful message about how far from optimal risk an individual person is. An interactive, user friendly, goal setting based lifestyle website can act as a trigger to initiate moderate lifestyle changes, regardless of concerns about risk scores.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN17721237 . Registered 12 January 2015.

Communicating information concerning potential medication harms and benefits: What gist do numbers convey?

OBJECTIVES

Fuzzy trace theory was used to examine the effect of information concerning medication benefits and side-effects on willingness to use a hypothetical medication.

METHODS

Participants (N=999) were recruited via Amazon Mechanical Turk. Using 3×5 experimental research design, each participant viewed information about medication side effects in 1 of 3 formats and information about medication benefits in 1 of 5 formats. For both side-effects and benefits, one format presented only non-numeric information and the remaining formats presented numeric information.

RESULTS

Individuals in the non-numeric side-effect condition were less likely to take the medication than those in the numeric conditions (p<0.0001). In contrast, individuals in the non-numeric benefit condition were more likely to take the medication than those in the numeric conditions (p<0.0001).

CONCLUSIONS

Our findings suggest that non-numeric side-effect information conveys the gist that the medication can cause harm, decreasing willingness to use the medication; whereas non-numeric benefit information has the opposite effect.

PRACTICE IMPLICATIONS

Presenting side-effect and benefit information in non-numeric format appears to bias decision-making in opposite directions. Providing numeric information for both benefits and side-effects may enhance decision-making. However, providing numeric benefit information may decrease adherence, creating ethical dilemmas for providers.

Development and Testing of Shared Decision Making Interventions for Use in Emergency Care: A Research Agenda

Decision aids are evidenced-based tools designed to increase patient understanding of medical options and possible outcomes, facilitate conversation between patients and clinicians, and improve patient engagement. Decision aids have been used for shared decision making (SDM) interventions outside of the ED setting for more than a decade. Their use in the ED has only recently begun to be studied. This article provides background on this topic and the conclusions of the 2016 Academic Emergency Medicine consensus conference SDM in practice work group regarding "Shared Decision Making in the Emergency Department: Development of a Policy-Relevant, Patient-Centered Research Agenda." The goal was to determine a prioritized research agenda for the development and testing of SDM interventions for use in emergency care that was most important to patients, clinicians, caregivers, and other key stakeholders. Using the nominal group technique, the consensus working group proposed prioritized research questions in six key domains: 1) content (i.e., clinical scenario or decision area), 2) level of evidence available, 3) tool design strategies, 4) risk communication, 5) stakeholders, and 6) outcomes.

Toward Optimal Decision Making among Vulnerable Patients Referred for Cardiac Surgery: A Qualitative Analysis of Patient and Provider Perspectives

OBJECTIVES

Comprehension of risks, benefits, and alternative treatment options has been shown to be poor among patients referred for cardiac interventions. Patients' values and preferences are rarely explicitly sought. An increasing proportion of frail and older patients are undergoing complex cardiac surgical procedures with increased risk of both mortality and prolonged institutional care. We sought input from patients and caregivers to determine the optimal approach to decision making in this vulnerable patient population.

METHODS

Focus groups were held with both providers and former patients. Three focus groups were convened for Coronary Artery Bypass Graft (CABG), Valve, or CABG +Valve patients ≥ 70 y old (2-y post-op, ≤ 8-wk post-op, complicated post-op course) (n = 15). Three focus groups were convened for Intermediate Medical Care Unit (IMCU) nurses, Intensive Care Unit (ICU) nurses, surgeons, anesthesiologists and cardiac intensivists (n = 20). We used a semi-structured interview format to ask questions surrounding the informed consent process. Transcribed audio data was analyzed to develop consistent and comprehensive themes.

RESULTS

We identified 5 main themes that influence the decision making process: educational barriers, educational facilitators, patient autonomy and perceived autonomy, patient and family expectations of care, and decision making advocates. All themes were influenced by time constraints experienced in the current consent process. Patient groups expressed a desire to receive information earlier in their care to allow time to identify personal values and preferences in developing plans for treatment. Both groups strongly supported a formal approach for shared decision making with a decisional coach to provide information and facilitate communication with the care team.

CONCLUSIONS

Identifying the barriers and facilitators to patient and caretaker engagement in decision making is a key step in the development of a structured, patient-centered SDM approach. Intervention early in the decision process, the use of individualized decision aids that employ graphic risk presentations, and a dedicated decisional coach were identified by patients and providers as approaches with a high potential for success. The impact of such a formalized shared decision making process in cardiac surgery on decisional quality will need to be formally assessed. Given the trend toward older and frail patients referred for complex cardiac procedures, the need for an effective shared decision making process is compelling.

Should Health Numeracy Be Assessed Objectively or Subjectively?

INTRODUCTION

Because current evidence suggests that numeracy affects how people make decisions, it is an important factor to account for in studies assessing the effectiveness of medical decision support interventions. Subjective and objective numeracy assessment methods are available that vary in theoretical background, skills assessed, known relationship with decision making skills, and ease of implementation. The best way to use these tools to assess numeracy when conducting medical decision-making research is currently unknown.

METHODS

We conducted Internet surveys comparing numeracy assessments obtained using the subjective numeracy scale (SNS) and 5 objective numeracy scales. Each study participant completed the SNS and 1 objective numeracy measure. Following each assessment, participants indicated willingness to repeat the assessment and rated its user acceptability.

RESULTS

The overall response rate was 78%, resulting in a total sample size of 673. Spearman correlations between the SNS and the objective numeracy measures ranged from 0.19 to 0.44. Acceptability assessments for the short form of the Numeracy Understanding in Medicine Instrument and the SNS did not differ significantly. The other objective scales all had lower acceptability ratings than the SNS.

CONCLUSIONS

These findings are consistent with prior research suggesting that objective and subjective numeracy scales measure related but distinct constructs. Due to current uncertainty regarding which construct is more likely to influence the effectiveness of decision support interventions, these findings warrant further investigation to determine the proper use of objective versus subjective numeracy assessments in medical decision-making research. Pending additional information, a reasonable approach is to measure both objective and subjective numeracy so that the full range of actual and perceived numeracy skills can be taken into account.

Tips from Former Smokers: A Content Analysis of Persuasive Message Features

Years of research on message design and effects provides insight regarding the most persuasive message appeals. The purpose of this study was to evaluate the content of the messages being presented in the Centers for Disease Control and Prevention's Tips from Former Smokers campaign. A content analysis of persuasive message design features was conducted to critically examine campaign content. Campaign materials were coded for the presence of message variables including emotional appeals, evidence presentation, message framing, attitude functions, and source characteristics. Four independent coders analyzed 122 campaign messages, including video, print, and social media posts. Results from this content analysis indicate that the campaign contained more fear and guilt appeals, than other emotions. Evidence was typically presented in the form of a narrative from sources with firsthand experience. Suggestions for persuasive message design in large-scale public health communication campaigns are discussed.

A Randomized Controlled Trial of a Mobile Clinical Decision Aid to Improve Access to Kidney Transplantation: iChoose Kidney

Introduction

Kidney transplantation is the preferred treatment for patients with end-stage renal disease, as it substantially increases a patient’s survival and is cost-saving compared to a lifetime of dialysis. However, transplantation is not universally chosen by patients with renal failure, and limited knowledge about the survival benefit of transplantation versus dialysis may play a role. We created a mobile application clinical decision aid called iChoose Kidney to improve access to individualized prognosis information comparing dialysis and transplantation outcomes.

Methods

We describe the iChoose Kidney study, a randomized controlled trial designed to test the clinical efficacy of a mobile health decision aid among end-stage renal disease patients referred for kidney transplantation at 3 large, diverse transplant centers across the United States. Approximately 450 patients will be randomized to receive either (i) standard of care or “usual” transplantation education, or (ii) standard of care plus iChoose Kidney.

Results

The primary outcome is change in knowledge about the survival benefit of kidney transplantation versus dialysis from baseline to immediate follow-up; secondary outcomes include change in treatment preferences, improved decisional conflict, and increased access to kidney transplantation. Analyses are also planned to examine effectiveness across subgroups of race, socioeconomic status, health literacy, and health numeracy.

Discussion

Engaging patients in health care choices can increase patient empowerment and improve knowledge and understanding of treatment choices. If the effectiveness of iChoose Kidney has a greater impact on patients with low health literacy, lower socioeconomic status, and minority race, this decision aid could help reduce disparities in access to kidney transplantation.

High Numerates Count Icons and Low Numerates Process Large Areas in Pictographs: Results of an Eye-Tracking Study

In two experiments, we investigated the influence of numeracy on individuals' information processing of pictographs depending on numeracy via an eye-tracker. In two conditions, participants from the general population were presented with a scenario depicting the risk of having cancer and were asked to indicate their perceived risk. The risk level was high (63%) in experiment 1 (N = 70) and low (6%) in experiment 2 (N = 69). In the default condition, participants were free to use their default strategy for information processing. In the guiding-toward-the-number condition, they were prompted to count icons in the pictograph by answering with an explicit number. We used eye-tracking parameters related to the distance between sequential fixations to analyze participants' strategies for processing numerical information. In the default condition, the higher the numeracy was, the shorter the distances traversed in the pictograph were, indicating that participants counted the icons. People lower in numeracy performed increased large-area processing by comparing highlighted and nonhighlighted parts of the pictograph. In the guiding-toward-the-number condition, participants used short distances regardless of their numeracy, supporting the notion that short distances represent counting. Despite the different default processing strategies, participants processed the pictograph with a similar depth and derived similar risk perceptions. The results show that pictographs are beneficial for communicating medical risk. Pictographs make the gist salient by making the part-to-whole relationship visually available, and they facilitate low numerates' non-numeric processing of numerical information. Contemporaneously, pictographs allow high numerates to numerically process and rely on the number depicted in the pictograph.

iChoose Kidney: A Clinical Decision Aid for Kidney Transplantation Versus Dialysis Treatment

BACKGROUND

Despite a significant survival advantage of kidney transplantation compared with dialysis, nearly one third of end-stage renal disease (ESRD) patients are not educated about kidney transplantation as a treatment option at the time of ESRD diagnosis. Access to individualized, evidence-based prognostic information is needed to facilitate and encourage shared decision making about the clinical implications of whether to pursue transplantation or long-term dialysis.

METHODS

We used a national cohort of incident ESRD patients in the US Renal Data System surveillance registry from 2005 to 2011 to develop and validate prediction models for risk of 1- and 3-year mortality among dialysis versus kidney transplantation. Using these data, we developed a mobile clinical decision aid that provides estimates of risks of death and survival on dialysis compared with kidney transplantation patients.

RESULTS

Factors included in the mortality risk prediction models for dialysis and transplantation included age, race/ethnicity, dialysis vintage, and comorbidities, including diabetes, hypertension, cardiovascular disease, and low albumin. Among the validation cohorts, the discriminatory ability of the model for 3-year mortality was moderate (c statistic, 0.7047; 95% confidence interval, 0.7029-0.7065 for dialysis and 0.7015; 95% confidence interval, 0.6875-0.7155 for transplant). We used these risk prediction models to develop an electronic, user-friendly, mobile (iPad, iPhone, and website) clinical decision aid called iChoose Kidney.

CONCLUSIONS

The use of a mobile clinical decision aid comparing individualized mortality risk estimates for dialysis versus transplantation could enhance communication between ESRD patients and their clinicians when making decisions about treatment options.

Public engagement with scientific evidence in health: A qualitative study among primary-care patients in an urban population

The purpose of this study is to explore the experience and perspective of patients regarding scientific evidence in health and the degree that this information impacts health behavior and medical decision making. A focus group study was conducted. Participants were recruited from an urban primary-care practice. The focus group discussions were audio-recorded, transcribed verbatim, and coded by two independent investigators. Emergent themes were identified. Participants (n = 30) ranged in age from 30 to 79 years, 60% were female, 77% were black, and 50% had at least some college experience. Three thematic areas informed a wide range in level of interest regarding scientific study design and result information: (1) scientific literacy, (2) medical decision making style, and (3) impact of culture and community on decision making. Our findings indicate that communication strategies that incorporate key elements of scientific study design, methods, and results will most effectively translate findings from comparative effectiveness research to patient-informed decision making regarding evidence-based health interventions.

Improving risk literacy in surgeons

OBJECTIVE

To effectively practice evidence-based medicine, surgeons need to understand and be able to communicate health-relevant numerical information. We present the first study examining risk literacy in surgeons by assessing numeracy and surgical risk comprehension. Our study also investigated whether visual aids improve risk comprehension in surgeons with limited numeracy.

METHODS

Participants were 292 surgeons from 60 countries who completed an instrument measuring numeracy and evaluated the results of a randomized controlled trial including post-surgical side-effects. Half of the surgeons received this information in numbers. The other half received the information represented visually. Accuracy of risk estimation, reading latency, and estimate latency (i.e., deliberation) were assessed.

RESULTS

Some surgeons have low numeracy and could not correctly interpret surgical risks without additional support. Visual aids made risks transparent and eliminated differences in risk understanding between more and less numerate surgeons, increasing the amount of time that less numerate surgeons spent deliberating about risks.

CONCLUSIONS

Visual aids can be an efficient and inexpensive means of improving risk comprehension and clinical judgement in surgeons with low numerical and statistical skills.

PRACTICE IMPLICATIONS

Programs designed to help professionals represent and communicate health-relevant numerical information in simple transparent graphs may unobtrusively promote informed decision making.

Measuring Graph Literacy without a Test: A Brief Subjective Assessment

BACKGROUND

Visual aids tend to help diverse and vulnerable individuals understand risk communications, as long as these individuals have a basic understanding of graphs (i.e., graph literacy). Tests of objective graph literacy (OGL) can effectively identify individuals with limited skills, highlighting vulnerabilities and facilitating custom-tailored risk communication. However, the administration of these tests can be time-consuming and may evoke negative emotional reactions (e.g., anxiety).

OBJECTIVES

To evaluate a brief and easy-to-use assessment of subjective graph literacy (SGL) (i.e., self-reported ability to process and use graphically presented information) and to estimate the robustness and validity of the SGL scale and compare it with the leading OGL scale in diverse samples from different cultures.

PARTICIPANTS

Demographically diverse residents (n = 470) of the United States, young adults (n = 172) and patients (n = 175) from Spain, and surgeons (n = 175) from 48 countries.

DESIGN

A focus group and 4 studies for instrument development and initial validation (study 1), reliability and convergent and discriminant validity evaluation (study 2), and predictive validity estimation (studies 3 and 4).

MEASURES

Psychometric properties of the scale.

RESULTS

In about 1 minute, the SGL scale provides a reliable, robust, and valid assessment of skills and risk communication preferences and evokes fewer negative emotional reactions than the OGL scale.

CONCLUSIONS

The SGL scale can be suitable for use in clinical research and may be useful as a communication aid in clinical practice. Theoretical mechanisms involved in SGL, emerging applications, limitations, and open questions are discussed.

Helping Doctors and Patients Make Sense of Health Statistics

Many doctors, patients, journalists, and politicians alike do not understand what health statistics mean or draw wrong conclusions without noticing. Collective statistical illiteracy refers to the widespread inability to understand the meaning of numbers. For instance, many citizens are unaware that higher survival rates with cancer screening do not imply longer life, or that the statement that mammography screening reduces the risk of dying from breast cancer by 25% in fact means that 1 less woman out of 1,000 will die of the disease. We provide evidence that statistical illiteracy (a) is common to patients, journalists, and physicians; (b) is created by nontransparent framing of information that is sometimes an unintentional result of lack of understanding but can also be a result of intentional efforts to manipulate or persuade people; and (c) can have serious consequences for health.

The causes of statistical illiteracy should not be attributed to cognitive biases alone, but to the emotional nature of the doctor–patient relationship and conflicts of interest in the healthcare system. The classic doctor–patient relation is based on (the physician's) paternalism and (the patient's) trust in authority, which make statistical literacy seem unnecessary; so does the traditional combination of determinism (physicians who seek causes, not chances) and the illusion of certainty (patients who seek certainty when there is none). We show that information pamphlets, Web sites, leaflets distributed to doctors by the pharmaceutical industry, and even medical journals often report evidence in nontransparent forms that suggest big benefits of featured interventions and small harms. Without understanding the numbers involved, the public is susceptible to political and commercial manipulation of their anxieties and hopes, which undermines the goals of informed consent and shared decision making.

What can be done? We discuss the importance of teaching statistical thinking and transparent representations in primary and secondary education as well as in medical school. Yet this requires familiarizing children early on with the concept of probability and teaching statistical literacy as the art of solving real-world problems rather than applying formulas to toy problems about coins and dice. A major precondition for statistical literacy is transparent risk communication. We recommend using frequency statements instead of single-event probabilities, absolute risks instead of relative risks, mortality rates instead of survival rates, and natural frequencies instead of conditional probabilities. Psychological research on transparent visual and numerical forms of risk communication, as well as training of physicians in their use, is called for.

Statistical literacy is a necessary precondition for an educated citizenship in a technological democracy. Understanding risks and asking critical questions can also shape the emotional climate in a society so that hopes and anxieties are no longer as easily manipulated from outside and citizens can develop a better-informed and more relaxed attitude toward their health.

Visual presentations of efficacy data in direct-to-consumer prescription drug print and television advertisements: A randomized study

OBJECTIVE

To determine whether visual aids help people recall quantitative efficacy information in direct-to-consumer (DTC) prescription drug advertisements, and if so, which types of visual aids are most helpful.

METHODS

Individuals diagnosed with high cholesterol (n=2504) were randomized to view a fictional DTC print or television advertisement with no visual aid or one of four visual aids (pie chart, bar chart, table, or pictograph) depicting drug efficacy. We measured drug efficacy and risk recall, drug perceptions and attitudes, and behavioral intentions.

RESULTS

For print advertisements, a bar chart or table, compared with no visual aid, elicited more accurate drug efficacy recall. The bar chart was better at this than the pictograph and the table was better than the pie chart. For television advertisements, any visual aid, compared with no visual aid, elicited more accurate drug efficacy recall. The bar chart was better at this than the pictograph or the table.

CONCLUSION

Visual aids depicting quantitative efficacy information in DTC print and television advertisements increased drug efficacy recall, which may help people make informed decisions about prescription drugs.

PRACTICE IMPLICATIONS

Adding visual aids to DTC advertising may increase the public's knowledge of how well prescription drugs work.