Validation of the Subjective Numeracy Scale: effects of low numeracy on comprehension of risk communications and utility elicitations

Should I Take Aspirin? (SITA): randomised controlled trial of a decision aid for cancer chemoprevention

BACKGROUND

Australian guidelines recommend that people aged 50-70 years consider taking low-dose aspirin to reduce their risk of colorectal cancer (CRC).

AIM

To determine the effect of a consultation with a researcher before an appointment in general practice using a decision aid presenting the benefits and harms of taking low-dose aspirin compared with a general CRC prevention brochure on patients' informed decision making and low-dose aspirin use.

DESIGN AND SETTING

Individually randomised controlled trial in six general practices in Victoria, Australia, from October 2020 to March 2021.

METHOD

Participants were recruited from a consecutive sample of patients aged 50-70 years attending a GP. The intervention was a consultation using a decision aid to discuss taking aspirin to reduce CRC risk while control consultations discussed reducing CRC risk generally. Self-reported co-primary outcomes were the proportion of individuals making informed choices about taking aspirin at 1 month and on low-dose aspirin uptake at 6 months, respectively. The intervention effect was estimated using a generalised linear model and reported with Bonferroni-adjusted 95% confidence intervals (CIs) and P-values.

RESULTS

A total of 261 participants (86% of eligible patients) were randomised into trial arms (n = 129 intervention; n = 132 control). Of these participants, 17.7% (n = 20/113) in the intervention group and 7.6% (n = 9/118) in the control group reported making an informed choice about taking aspirin at 1 month, an estimated 9.1% (95% CI = 0.29 to 18.5) between-arm difference in proportions (odds ratio [OR] 2.47, 97.5% CI = 0.94 to 6.52, P = 0.074). The proportions of individuals who reported taking aspirin at 6 months were 10.2% (n = 12/118) of the intervention group versus 13.8% (n = 16/116) of the control group, an estimated between-arm difference of -4.0% (95% CI = -13.5 to 5.5; OR 0.68 [97.5% CI = 0.27 to 1.70, P = 0.692]).

CONCLUSION

The decision aid improved informed decision making but this did not translate into long-term regular use of aspirin to reduce CRC risk. In future research, decision aids should be delivered alongside various implementation strategies.

Effects of a Patient Portal Intervention to Address Diabetes Care Gaps: Protocol for a Pragmatic Randomized Controlled Trial

BACKGROUND

Despite the potential to significantly reduce complications, many patients do not consistently receive diabetes preventive care. Our research team recently applied user-centered design sprint methodology to develop a patient portal intervention empowering patients to address selected diabetes care gaps (eg, no diabetes eye examination in last 12 months).

OBJECTIVE

This study aims to evaluate the effect of our novel diabetes care gap intervention on completion of selected evidence-based diabetes preventive care services and secondary outcomes.

METHODS

We are conducting a pragmatic randomized controlled trial of the effect of the intervention on diabetes care gaps. Adult patients with diabetes mellitus (DM) are recruited from primary care clinics affiliated with Vanderbilt University Medical Center. Participants are eligible if they have type 1 or 2 DM, can read in English, are aged 18-75 years, have a current patient portal account, and have reliable access to a mobile device with internet access. We exclude patients with medical conditions that prevent them from using a mobile device, severe difficulty seeing, pregnant women or women who plan to become pregnant during the study period, and patients on dialysis. Participants will be randomly assigned to the intervention or usual care. The primary outcome measure will be the number of diabetes care gaps among 4 DM preventive care services (diabetes eye examination, pneumococcal vaccination, hemoglobin A1c, and urine microalbumin) at 12 months after randomization. Secondary outcomes will include diabetes self-efficacy, confidence managing diabetes in general, understanding of diabetes preventive care, diabetes distress, patient portal satisfaction, and patient-initiated orders at baseline, 3 months, 6 months, and 12 months after randomization. An ordinal logistic regression model will be used to quantify the effect of the intervention on the number of diabetes care gaps at the 12-month follow-up. For dichotomous secondary outcomes, a logistic regression model will be used with random effects for the clinic and provider variables as needed. For continuous secondary outcomes, a regression model will be used.

RESULTS

This study is ongoing. Recruitment was closed in February 2022; a total of 433 patients were randomized. Of those randomized, most (n=288, 66.5%) were non-Hispanic White, 33.5% (n=145) were racial or ethnic minorities, 33.9% (n=147) were aged 65 years or older, and 30.7% (n=133) indicated limited health literacy.

CONCLUSIONS

The study directly tests the hypothesis that a patient portal intervention-alerting patients about selected diabetes care gaps, fostering understanding of their significance, and allowing patients to initiate care-will reduce diabetes care gaps compared with usual care. The insights gained from this study may have broad implications for developing future interventions to address various care gaps, such as gaps in cancer screening, and contribute to the development of effective, scalable, and sustainable approaches to engage patients in chronic disease management and prevention.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04894903; https://classic.clinicaltrials.gov/ct2/show/NCT04894903.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56123.

Design of patient-facing immunization visualizations affects task performance: an experimental comparison of 4 electronic visualizations

OBJECTIVE

This study experimentally evaluated how well lay individuals could interpret and use 4 types of electronic health record (EHR) patient-facing immunization visualizations.

MATERIALS AND METHODS

Participants (n = 69) completed the study using a secure online survey platform. Participants viewed the same immunization information in 1 of 4 EHR-based immunization visualizations: 2 different patient portals (Epic MyChart and eClinicWorks), a downloadable EHR record, and a clinic-generated electronic letter (eLetter). Participants completed a common task, created a standard vaccine schedule form, and answered questions about their perceived workload, subjective numeracy and health literacy, demographic variables, and familiarity with the task.

RESULTS

The design of the immunization visualization significantly affected both task performance measures (time taken to complete the task and number of correct dates). In particular, those using Epic MyChart took significantly longer to complete the task than those using eLetter or eClinicWorks. Those using Epic MyChart entered fewer correct dates than those using the eLetter or eClinicWorks. There were no systematic statistically significant differences in task performance measures based on the numeracy, health literacy, demographic, and experience-related questions we asked.

DISCUSSION

The 4 immunization visualizations had unique design elements that likely contributed to these performance differences.

CONCLUSION

Based on our findings, we provide practical guidance for the design of immunization visualizations, and future studies. Future research should focus on understanding the contexts of use and design elements that make tables an effective type of health data visualization.

It is, uh, very likely? The impact of prosodic uncertainty cues on the perception and interpretation of spoken verbal probability phrases

People typically use verbal probability phrases when discussing risks ("It is likely that this treatment will work"), both in written and spoken communication. When speakers are uncertain about risks, they can nonverbally signal this uncertainty by using prosodic cues, such as a rising, question-like intonation or a filled pause ("uh"). We experimentally studied the effects of these two prosodic cues on the listener's perceived speaker certainty and numerical interpretation of spoken verbal probability phrases. Participants (N = 115) listened to various verbal probability phrases that were uttered with a rising or falling global intonation and with or without a filled pause before the probability phrase. For each phrase, they gave a point estimate of their numerical interpretation in percentages and indicated how certain they thought the speaker was about the correctness of the probability phrase. Speakers were perceived as least certain when the verbal probability phrases were spoken with both prosodic uncertainty cues. Interpretation of verbal probability phrases varied widely across participants, especially when rising intonation was produced by the speaker. Overall, high probability phrases (e.g., "very likely") were estimated as lower (and low probability phrases, such as "unlikely," as higher) when they were uttered with a rising intonation. The effects of filled pauses were less pronounced, as were the uncertainty effects for medium probability phrases (e.g., "probable"). These results stress the importance of nonverbal communication when verbally communicating risks and probabilities to people, for example, in the context of doctor-patient communication.

Statistical Literacy in Hand and Upper-Extremity Patients

Purpose

Statistical literacy is the ability of a patient to apply basic statistical concepts to their health care. Understanding statistics is a critical component of shared decision making. The purpose of this investigation was to define levels of statistical literacy in an upper-extremity (UE) patient population. We aimed to determine if patient demographics would be associated with statistical literacy.

Methods

An electronic survey was administered to a consecutive series of UE patients at a single institution. We recorded baseline demographics, Single Assessment Numeric Evaluation scores, the Berlin Numeracy Test (BNT), and General Health Numeracy Test. We also included a surgical risk question, which asked: "Approximately 3% of patients who get carpal tunnel surgery develop an infection. If 100 patients get this surgery, how many would you expect to develop an infection?" A covariate-controlled adjusted odds ratio reflecting the association between each statistical literacy outcome measure and patient characteristics was reported.

Results

A total 254 surveys were administered, 148 of which were completed and included. Fifty percent of respondents had a high-school education or less. For the BNT, 78% scored in the bottom quartile, and 52% incorrectly answered all questions. For the General Health Numeracy Test, 34% answered 0 or 1/6 questions correctly. For the surgical risk question, 24% of respondents answered incorrectly. Respondents who had a college or graduate degree had 2.62 times greater odds (95% confidence interval, 1.09-6.32) of achieving a BNT score in a higher quartile than patients who did not have a college or graduate degree.

Conclusions

Overall levels of statistical literacy are low for UE patients.

Clinical relevance

When engaging in management discussions and shared decision making, UE surgeons should assume low levels of statistical literacy. Consideration of alternative formats, such as frequencies, video-based materials, and pictographs, may be warranted when discussing outcomes and risks of surgical procedures.

The Lure of Beauty: People Select Representations of Statistical Information Largely Based on Attractiveness, Not Comprehensibility

OBJECTIVE

People differ in whether they understand graphical or numerical representations of statistical information better. However, assessing these skills is often not feasible when deciding which representation to select or use. This study investigates whether people choose the representation they understand better, whether this choice can improve risk comprehension, and whether results are influenced by participants' skills (graph literacy and numeracy).

METHODS

In an experiment, 160 participants received information about the benefits and side effects of painkillers using either a numerical or a graphical representation. In the "no choice" condition, the representation was randomly assigned to each participant. In the "choice" condition, participants could select the representation they would like to receive. The study assessed gist and verbatim knowledge (immediate comprehension and recall), accessibility of the information, attractiveness of the representation, as well as graph literacy and numeracy.

RESULTS

In the "choice" condition, most (62.5%) chose the graphical format, yet there was no difference in graph literacy or numeracy (nor age or gender) between people who chose the graphical or the numerical format. Whereas choice slightly increased verbatim knowledge, it did not improve gist or overall knowledge compared with random assignment. However, participants who chose a representation rated the representation as more attractive, and those who chose graphs rated them as more accessible than those without a choice.

LIMITATIONS

The sample consisted of highly educated undergraduate students with higher graph literacy than the general population. The task was inconsequential for participants in terms of their health.

CONCLUSIONS

When people can choose between representations, they fail to identify what they comprehend better but largely base that choice on how attractive the representation is for them.

HIGHLIGHTS

People differ systematically in whether they understand graphical or numerical representations of statistical information better. However, assessing these underlying skills to get the right representation to the right people is not feasible in practice. A simple and efficient method to achieve this could be to let people choose among representations themselves.However, our study showed that allowing participants to choose a representation (numerical v. graphical) did not improve overall or gist knowledge compared with determining the representation randomly, even though it did slightly improve verbatim knowledge.Rather, participants largely chose the representation they found more attractive. Most preferred the graphical representation, including those with low graph literacy.It would therefore be important to develop graphical representations that are not only attractive but also comprehensible even for people with low graph literacy.

Novel methods for assessment of vulnerability to financial exploitation (FE)

Financial exploitation (FE) is a complex problem influenced by many factors. This article introduces two novel methods for assessment of FE vulnerability: (1) performance-based measures of financial skills using web-based simulations of common financial tasks; (2) scam vulnerability measures based on credibility ratings of common scam scenarios. Older adults who were male, younger, Hispanic, more educated, with higher incomes performed better on the simulated financial tasks. Better performance was also related to higher cognitive function and numeracy, and more experience with technology. On the scenario-based measures, older adults who were male, younger, African American, less educated, and lower income showed higher FE vulnerability. Higher scam vulnerability was also related to poorer performance on the simulated financial tasks, lower cognitive function, less experience with technology, more financial conflict/anxiety, more impulsivity, and more stranger-initiated FE. Findings indicate that these novel measures show promise as valid indicators of vulnerability to FE.

Patient Perception of Skin Cancer Reduction by Nicotinamide Correlates With Use

Introduction Nicotinamide (Vitamin B3) has been shown to reduce the rate of non-melanoma skin cancers by 23%, yet most patients do not know that this supplement reduces skin cancer. Understanding patient beliefs about skin cancer reduction attributed to nicotinamide is important to appropriately counsel patients on oral supplement use and ultimately to prevent non-melanoma skin cancers. Objective The objective of this study was to determine the association between nicotinamide use and perceived efficacy in skin cancer reduction. Methods Patients who underwent Mohs surgery in 2019 were sent an online survey assessing nicotinamide use, efficacy compared to sunscreen, and perceived skin cancer risk reduction. Results Data from 50 surveys revealed a perceived risk reduction attributed to nicotinamide of 31.2% for basal cell carcinoma (BCC), 30.2% for squamous cell carcinoma (SCC), and 24.3% for melanoma. In the subset of respondents taking nicotinamide, the perceived risk reduction was significantly higher at 41.2% for BCC and 38.3% for SCC (p<0.05) and positively correlated with reported nicotinamide use (p<0.05). The perceived risk reduction of melanoma was not significantly increased in patients taking nicotinamide (31.6%); however, the perceived risk reduction was correlated with nicotinamide use (p<0.05). In addition, 15.6% of respondents believed that nicotinamide was more effective than sunscreen at preventing skin cancer. Conclusion A larger perceived reduction of non-melanoma skin cancers attributed to nicotinamide is associated with increased oral nicotinamide use. Better patient education regarding the reduction of skin cancers with oral nicotinamide will need to be implemented to change patients' perceptions of the value of nicotinamide.

The effect of numeric information about the likelihood of receiving a false negative or false positive result on people's attitudes towards colorectal cancer screening using faecal immunochemical testing (FIT)

OBJECTIVE

To examine the impact of numeric risk information about false negative (FN) and false positive (FP) rates in fecal immunochemical testing (FIT) on attitudes towards screening.

METHODS

102 people aged 45-55, living in the UK, read 6 hypothetical vignettes presented online about the use of FIT kits to detect colorectal cancer, in which information about FN and FP rates was systematically varied.

RESULTS

Numeric FN risk information reduced people's interest in screening, perception of screening effectiveness and lowered trust in screening compared to verbal FN information. Verbal FN information reduced perceptions of screening effectiveness and trust compared to no FN information. People with high subjective numeracy reported lower trust in screening following the provision of numeric FN information but numeracy did not moderate any other associations. FP information did not affect attitudes towards FIT testing.

CONCLUSION

Numeric FN risk information decreased people's perceptions of screening effectiveness and trust in the results of screening. While it influenced people's interest in screening, the effect was small.

PRACTICE IMPLICATIONS

Numeric FN information has a small effect on interest in screening and could promote informed decision making without affecting screening uptake.

Effect of different visual presentations on the public's comprehension of prognostic information using acute and chronic condition scenarios: two online randomised controlled trials

OBJECTIVES

To assess the effectiveness of bar graph, pictograph and line graph compared with text-only, and to each other, for communicating prognosis to the public.

DESIGN

Two online four-arm parallel-group randomised controlled trials. Statistical significance was set at p<0.016 to allow for three-primary comparisons.

PARTICIPANTS AND SETTING

Two Australian samples were recruited from members registered at Dynata online survey company. In trial A: 470 participants were randomised to one of the four arms, 417 were included in the analysis. In trial B: 499 were randomised and 433 were analysed.

INTERVENTIONS

In each trial four visual presentations were tested: bar graph, pictograph, line graph and text-only. Trial A communicated prognostic information about an acute condition (acute otitis media) and trial B about a chronic condition (lateral epicondylitis). Both conditions are typically managed in primary care where 'wait and see' is a legitimate option.

MAIN OUTCOME

Comprehension of information (scored 0-6).

SECONDARY OUTCOMES

Decision intention, presentation satisfaction and preferences.

RESULTS

In both trials, the mean comprehension score was 3.7 for the text-only group. None of the visual presentations were superior to text-only. In trial A, the adjusted mean difference (MD) compared with text-only was: 0.19 (95% CI -0.16 to 0.55) for bar graph, 0.4 (0.04 to 0.76) for pictograph and 0.06 (-0.32 to 0.44) for line graph. In trial B, the adjusted MD was: 0.1 (-0.27 to 0.47) for bar graph), 0.38 (0.01 to 0.74) for pictograph and 0.1 (-0.27 to 0.48) for line graph. Pairwise comparisons between the three graphs showed all were clinically equivalent (95% CIs between -1.0 and 1.0). In both trials, bar graph was the most preferred presentation (chosen by 32.9% of trial A participants and 35.6% in trial B).

CONCLUSIONS

Any of the four visual presentations tested may be suitable to use when discussing quantitative prognostic information.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trials Registry (ACTRN12621001305819).

Numeracy, gist, literal thinking and the value of nothing in decision making

The onus on the average person is greater than ever before to make sense of large amounts of readily accessible quantitative information, but the ability and confidence to do so are frequently lacking. Many people lack practical mathematical skills that are essential for evaluating risks, probabilities and numerical outcomes such as survival rates for medical treatments, income from retirement savings plans or monetary damages in civil trials. In this Review, we integrate research on objective and subjective numeracy, focusing on cognitive and metacognitive factors that distort human perceptions and foment systematic biases in judgement and decision making. Paradoxically, an important implication of this research is that a literal focus on objective numbers and mechanical number crunching is misguided. Numbers can be a matter of life and death but a person who uses rote strategies (verbatim representations) cannot take advantage of the information contained in the numbers because 'rote' strategies are, by definition, processing without meaning. Verbatim representations (verbatim is only surface form, not meaning) treat numbers as data as opposed to information. We highlight a contrasting approach of gist extraction: organizing numbers meaningfully, interpreting them qualitatively and making meaningful inferences about them. Efforts to improve numerical cognition and its practical applications can benefit from emphasizing the qualitative meaning of numbers in context - the gist - building on the strengths of humans as intuitive mathematicians. Thus, we conclude by reviewing evidence that gist training facilitates transfer to new contexts and, because it is more durable, longer-lasting improvements in decision making.

Which blueberries are better value? The development and validation of the functional numeracy assessment for adults with aphasia

BACKGROUND

People with aphasia (PWA) can experience functional numeracy difficulties, that is, problems understanding or using numbers in everyday life, which can have numerous negative impacts on their daily lives. There is growing interest in designing functional numeracy interventions for PWA; however, there are limited suitable assessments available to monitor the impact of these interventions. Existing functional numeracy assessments lack breadth and are not designed to be accessible for PWA, potentially confounding their performance. Additionally, they do not include real-life demands, such as time pressure, which may affect their ecological validity. Thus, there is a crucial need for a new assessment to facilitate further research of PWA's functional numeracy.

AIMS

To develop, validate and pilot a wide-ranging, aphasia-friendly functional numeracy assessment to investigate how functional numeracy is impacted by aphasia severity and time pressure demands, and to explore predictors of PWA's functional numeracy.

METHODS & PROCEDURES

To develop the Functional Numeracy Assessment (FNA), 38 items inspired by the General Health Numeracy Test (GHNT) and Excellence Gateway were adapted for suitability for PWA and entered in a computerized psychometric-style test. The final 23 items (FNA23) were selected based on 213 neurotypical controls' performance, and controlled for difficulty, response modality and required numeracy skills. Aphasia-friendly adaptations of the GHNT and Subjective Numeracy Scale were used to examine the FNA23's concurrent validity. Internal consistency reliability and interrater reliability (for spoken responses) were also examined. A novel Time Pressure Task was created by slight adaptation of seven FNA23 questions to explore the effects of time pressure on functional numeracy performance. A total of 20 PWA and 102 controls completed all measures on an online testing platform.

OUTCOMES & RESULTS

The FNA23 demonstrated acceptable internal consistency reliability (KR-20 = 0.81) and perfect interrater reliability (for spoken responses). FNA23 and GHNT scores were positively associated, suggesting satisfactory concurrent validity. PWA demonstrated poorer functional numeracy than controls and took longer to complete assessments, indicating that aphasia impacts functional numeracy. Time pressure did not significantly impact performance. PWA demonstrated a wide range of functional numeracy abilities, with some performing similarly to controls.

CONCLUSIONS & IMPLICATIONS

The FNA23 is a wide-ranging, valid and reliable assessment which, with further development, will be a useful tool to identify and monitor PWA's functional numeracy difficulties in research and clinical practice. Considering PWA's widespread functional numeracy difficulties evidenced by this study, all PWA would likely benefit from routine evaluation for functional numeracy difficulties as part of their neurorehabilitation journeys.

WHAT THIS PAPER ADDS

What is already known on this subject Few studies have investigated functional numeracy difficulties in PWA. No published functional numeracy assessments exist that have been specifically designed to be accessible for PWA. What this paper adds to existing knowledge The newly developed FNA23 is a valid and reliable tool to extensively assess PWA's functional numeracy. This study confirmed previous findings of widespread functional numeracy difficulties in PWA that are related to their aphasia severity. What are the potential or actual clinical implications of this work? The FNA23 can be used to assess PWA's functional numeracy to inform areas of strengths and difficulties to target in intervention, and to monitor progress towards achieving intervention objectives. All PWA should be routinely evaluated for functional numeracy difficulties.

Fear of COVID-19 is associated with trust, subjective numeracy, and differentially with loneliness in older versus younger adults

Introduction

The emotional impacts of the COVID-19 pandemic and resulting public health emergency are only beginning to be understood.

Methods

We assessed the contributions of emotional and cognitive factors and age-related comorbidities to greater COVID-19 fear in a community dwelling sample of 142 younger (M_age = 19.63, SD_age = 2.59) and 157 older (M_age = 72.01, SD_age = 7.06) adults, between July 2020 and July 2021. We hypothesized that individuals with increased loneliness, depression, and/or decreased subjective numeracy (SN) and interpersonal trust would experience more COVID-19 fear. We also predicted that females and older adults would experience more COVID-19 fear given that age-related comorbidities are associated with increased illness severity.

Results

Results showed that the extent of loneliness in older adults was more strongly related to fear of COVID-19 than it was in younger adults (β = 0.197, p = 0.016), and poorer SN was associated with increased COVID-19 fear in both age groups (β = -0.138, p = 0.016). Further, higher interpersonal mistrust was associated with increased COVID-19 fear (β = 0.136, p = 0.039), as was identifying as female (β = 0.137, p = 0.013).

Discussion

Given that self-described poor numeracy was a marker for greater COVID-19 fear, investigators and policy makers might consider mitigation opportunities addressing data literacy requirements imposed by the media. Further, outreach to mitigate loneliness, particularly of the elderly, might effectively lessen the negative psychological impact of this ongoing public health crisis.

Predictors of Informed People's Preferences for Statin Therapy to Reduce Cardiovascular Disease Risk: an Internet Survey Study

BACKGROUND

Guidelines suggest clinicians inform patients about their 10-year cardiovascular disease (CVD) risk; however, little is known about how the risk estimate influences patients' preferences for statin therapy for primary prevention.

OBJECTIVE

To define predictors of preference for statin therapy after participants were informed about their individualized benefits and harms.

DESIGN

Cross-sectional survey in 2020.

SETTING

Online US survey panel.

PARTICIPANTS

A national sample of 304 respondents aged 40 to 75 who had not previously taken a statin and who knew their cholesterol levels and blood pressure measurements.

INTERVENTION

Participants entered their risk factors into a calculator which estimated their 10-year CVD risk. They were then provided with an estimate of their absolute risk reduction with a statin and the chance of side effects from meta-analyses.

MAIN MEASUREMENTS

We used a hierarchical model to predict participants' preferences for statin therapy according to their 10-year CVD risk, perceptions of the magnitude of statin benefit (large, medium, small, or almost no benefit), worry about side effects (very worried, somewhat worried, a little worried, not worried at all), and other variables.

KEY RESULTS

Participants had a mean age of 55 years (SD = 9.9); 50% were female, 44% were non-white, and 16% had a high school degree or less education. After reviewing their benefits and side effects, 45% of the participants reported they probably or definitely wanted to take a statin. In the full hierarchical model, only perceived benefits of taking a statin was a significant independent predictor of wanting a statin (OR 7.3, 95% CI 4.7, 12.2).

LIMITATIONS

Participants were from an internet survey panel and making hypothetical decisions.

CONCLUSIONS

Participants' perceptions of their benefit from statin therapy predicted wanting to take a statin for primary prevention; neither estimated CVD risk nor worries about statin side effects were independent predictors.

Comprehensive Diabetes Assessment Instrument for Patients With Type 2 Diabetes

AIMS

There is a paucity of efficient processes for collecting information in a primary care setting to connect patients afflicted with type 2 diabetes to valuable resources. The objective of this research project was to develop a Comprehensive Diabetes Assessment (CDA) instrument which could be used to assess patients' barriers to best outcomes.

METHODS

We reviewed published literature and online compilations for validated tools assessing threats to optimal diabetes self-management. We conducted focus groups with patients, clinicians, and service providers who provided feedback on the tools' appropriateness and feasibility. We aggregated the favored tools and did cognitive testing with patients to assess understanding and affective response to the instrument.

RESULTS

Five focus groups involved varied stakeholders in Baltimore, MD and Honolulu, HI. We presented 2 tools assessing knowledge barriers, 3 tools assessing psychological barriers, 4 tools assessing literacy, and 1 numeracy. The final instrument included 6 multi-part items and takes 3 minutes to complete. Cognitive interviewing with 8 patients in Baltimore and 8 in Hawaii confirmed that the instrument is understandable, quick to complete, and is acceptable to patients.

CONCLUSIONS

Because of the complexity of self-management of diabetes, we suggest that this CDA instrument, plus a social needs assessment, should be administered at least annually and at times of clinical deterioration. We anticipate the instrument will be proven valuable in connecting patients to services from which they will benefit.

Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening

INTRODUCTION

The validity of discrete choice experiments (DCEs) is crucial to its usage in healthcare decision-making, but there is only a limited number of health contexts in which external validity is demonstrated. This study aims to assess the internal and external validity of the DCE in the context of colorectal cancer (CRC) screening, and gather insights into the discrepancy between stated and revealed preferences.

METHODS

Stated and revealed preferences were elicited on an individual level from Dutch residents eligible for CRC screening in a DCE and a field experiment, respectively (N = 568). To identify the determinants of CRC screening participation and their relative importance, five random utility maximisation models that varied in complexity were used. We assessed the accuracy with which the models based on stated preferences predict individual-level screening choice in a holdout task (internal validity) and in the actual screening choice (external validity). Insights into the discrepancy between stated and revealed preferences were gathered by comparing groups of respondents.

RESULTS

Our findings show high internal and external validity. Choices could be accurately predicted for 95% of the respondents in the holdout task, and 90% in the actual screening choice. When scale and preference heterogeneity were taken into account model fit improved; individual-level prediction accuracy slightly increased for the holdout task but not for the actual screening choice. Respondents for whom stated preferences matched revealed preferences were generally in better health and found the GP's support for their screening decision more important.

DISCUSSION

Evidence was found that revealed preferences can be predicted accurately on an individual level. Incorporating heterogeneity improved internal validity but not external validity. Differences between stated and revealed preferences can be attributed to respondents' health and the support of their GP. We suggest researchers to continue investigating the internal and external validity of discrete choice experiments, and the role of model complexity.

Need for numbers: assessing cancer survivors' needs for personalized and generic statistical information

Background

Statistical information (e.g., on long-term survival or side effects) may be valuable for healthcare providers to share with their patients to facilitate shared decision making on treatment options. In this pre-registered study, we assessed cancer survivors’ need for generic (population-based) versus personalized (tailored towards patient/tumor characteristics) statistical information after their diagnosis. We examined how information coping style, subjective numeracy, and anxiety levels of survivors relate to these needs and identified statistical need profiles. Additionally, we qualitatively explored survivors’ considerations for (not) wanting statistical information.

Methods

Cancer survivors’ need for statistics regarding incidence, survival, recurrence, side effects and quality of life were assessed with an online questionnaire. For each of these topics, survivors were asked to think back to their first cancer diagnosis and to indicate their need for generic and personalized statistics on a 4-point scale (‘not at all’- ‘very much’). Associations between information coping style, subjective numeracy, and anxiety with need for generic and personalized statistics were examined with Pearson’s correlations. Statistical need profiles were identified using latent class analysis. Considerations for (not) wanting statistics were analyzed qualitatively.

Results

Overall, cancer survivors (n = 174) had a higher need for personalized than for generic statistics (p < .001, d = 0.74). Need for personalized statistics was associated with higher subjective numeracy (r = .29) and an information-seeking coping style (r = .41). Three statistical need profiles were identified (1) a strong need for both generic and personalized statistics (34%), (2) a stronger need for personalized than for generic statistics (55%), and (3) a little need for both generic and personalized statistics (11%). Considerations for wanting personalized cancer statistics ranged from feelings of being in control to making better informed decisions about treatment. Considerations for not wanting statistics related to negative experience with statistics and to the unpredictability of future events for individual patients.

Conclusions

In light of the increased possibilities for using personalized statistics in clinical practice and decision aids, it appears that most cancer survivors want personalized statistical information during treatment decision-making. Subjective numeracy and information coping style seem important factors influencing this need. We encourage further development and implementation of data-driven personalized decision support technologies in oncological care to support patients in treatment decision making.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-02005-2.

A case study of adapting a health insurance decision intervention from trial into routine cancer care

Objective

This study adapted Improving Cancer Patients’ Insurance Choices (I Can PIC), an intervention to help cancer patients navigate health insurance decisions and care costs. The original intervention improved knowledge and confidence making insurance decisions, however, users felt limited by choices provided in insurance markets. Using decision trees and frameworks to guide adaptations, we modified I Can PIC to focus on using rather than choosing health insurance. The COVID-19 pandemic introduced unforeseen obstacles, prompting changes to study protocols. As a result, we allowed users outside of the study to use I Can PIC (> 1050 guest users) to optimize public benefit. This paper describes the steps took to conduct the study, evaluating both the effectiveness of I Can PIC and the implementation process to improve its impact.

Results

Although I Can PIC users had higher knowledge and health insurance literacy compared to the control group, results were not statistically significant. This outcome may be associated with systems-level challenges as well as the number and demographic characteristics of participants. The publicly available tool can be a resource for those navigating insurance and care costs, and researchers can use this flexible approach to intervention delivery and testing as future health emergencies arise.

A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment

The rational microeconomic decision model is hard-coded into usual econometric specifications such as the Multinomial Logit and Probit models, inter alia. There is a very tight link between utility maximization and the apparatus of welfare theory that underlies economic policy analysis, which creates a tension around the possibility of representing other decision rules. We propose a less restrictive model of choice, built on the concept of gist-based categorization judgments that are assumed to precede (thus, condition) the maximization-driven selection process in decision making. This categorization facilitates decision making by allowing adoption of certain simpler decision rules under appropriate conditions, the drivers of which are endogenously determined. We demonstrate that the proposed model provides better fit than traditional choice models, using cancer screening and treatment choice data from two discrete choice experiments. In addition, we show that the model provides a deeper, more nuanced and insightful perspective on (healthcare) decision making.

Emotion and Contralateral Prophylactic Mastectomy: A Prospective Study into Surgical Decision-Making

OBJECTIVE

Patients with non-familial, unilateral breast cancer have a low risk of contralateral breast cancer. Thus, clinical studies have shown no survival benefit for patients who undergo contralateral prophylactic mastectomy (CPM) compared to those undergoing unilateral surgeries for non-familial unilateral breast cancers. Despite this evidence, there has been a steady increase in rates of CPM in the U.S. Patient factors influencing this choice have been identified in previous studies, but seldom in a prospective manner. This prospective study was designed to assess emotion and any association with a patient's decision to ultimately undergo CPM.

METHODS

We recruited patients with newly diagnosed, unilateral, non-metastatic breast cancer, who had not yet had surgery, to participate in a prospective, longitudinal study to examine the impact of emotions on CPM decision-making.

RESULTS

Among the 86 final participants, all completed the pre-visit survey (100%) and 52 patients completed the post-visit survey (60%). Patients undergoing CPM were significantly younger than those who did not. There was no statistically significant association between emotion and receipt of CPM. There was a trend towards undergoing CPM in patients with a less open personality type and those with more negative emotion, though not statistically significant.

CONCLUSIONS

This study found a trend toward increased CPM receipt in those with less open personality types and more negative emotion, especially post-consultation, but none of these findings was significant. Future work should include development of cancer-specific emotion scales and larger studies of possible connections between emotion, personality type and surgical decision-making for breast cancer patients. This article is protected by copyright. All rights reserved.

Measuring health literacy: A systematic review and bibliometric analysis of instruments from 1993 to 2021

BACKGROUND

It has been about 30 years since the first health literacy instrument was developed. This study aimed to review all existing instruments to summarize the current knowledge on the development of existing measurement instruments and their possible translation and validation in other languages different from the original languages.

METHODS

The review was conducted using PubMed, Web of Science, Scopus, and Google Scholar on all published papers on health literacy instrument development and psychometric properties in English biomedical journals from 1993 to the end of 2021.

RESULTS

The findings were summarized and synthesized on several headings, including general instruments, condition specific health literacy instruments (disease & content), population- specific instruments, and electronic health. Overall, 4848 citations were retrieved. After removing duplicates (n = 2336) and non-related papers (n = 2175), 361 studies (162 papers introducing an instrument and 199 papers reporting translation and psychometric properties of an original instrument) were selected for the final review. The original instruments included 39 general health literacy instruments, 90 condition specific (disease or content) health literacy instruments, 22 population- specific instruments, and 11 electronic health literacy instruments. Almost all papers reported reliability and validity, and the findings indicated that most existing health literacy instruments benefit from some relatively good psychometric properties.

CONCLUSION

This review highlighted that there were more than enough instruments for measuring health literacy. In addition, we found that a number of instruments did not report psychometric properties sufficiently. However, evidence suggest that well developed instruments and those reported adequate measures of validation could be helpful if appropriately selected based on objectives of a given study. Perhaps an authorized institution such as World Health Organization should take responsibility and provide a clear guideline for measuring health literacy as appropriate.

Patient and Clinician Decision Support to Increase Genetic Counseling for Hereditary Breast and Ovarian Cancer Syndrome in Primary Care: A Cluster Randomized Clinical Trial

IMPORTANCE

To promote the identification of women carrying BRCA1/2 variants, the US Preventive Services Task Force recommends that primary care clinicians screen asymptomatic women for an increased risk of carrying a BRCA1/2 variant risk.

OBJECTIVE

To examine the effects of patient and clinician decision support about BRCA1/2 genetic testing compared with standard education alone.

DESIGN, SETTING, AND PARTICIPANTS

This clustered randomized clinical trial was conducted at an academic medical center including 67 clinicians (unit of randomization) and 187 patients. Patient eligibility criteria included women aged 21 to 75 years with no history of breast or ovarian cancer, no prior genetic counseling or testing for hereditary breast and ovarian cancer syndrome (HBOC), and meeting family history criteria for BRCA1/2 genetic testing.

INTERVENTIONS

RealRisks decision aid for patients and the Breast Cancer Risk Navigation Tool decision support for clinicians. Patients scheduled a visit with their clinician within 6 months of enrollment.

MAIN OUTCOMES AND MEASURES

The primary end point was genetic counseling uptake at 6 months. Secondary outcomes were genetic testing uptake at 6 and 24 months, decision-making measures (perceived breast cancer risk, breast cancer worry, genetic testing knowledge, decision conflict) based upon patient surveys administered at baseline, 1 month, postclinic visit, and 6 months.

RESULTS

From December 2018 to February 2020, 187 evaluable patients (101 in the intervention group, 86 in the control group) were enrolled (mean [SD] age: 40.7 [13.2] years; 88 Hispanic patients [46.6%]; 15 non-Hispanic Black patients [8.1%]; 72 non-Hispanic White patients [38.9%]; 35 patients [18.9%] with high school education or less) and 164 (87.8%) completed the trial. There was no significant difference in genetic counseling uptake at 6 months between the intervention group (20 patients [19.8%]) and control group (10 patients [11.6%]; difference, 8.2 percentage points; OR, 1.88 [95% CI, 0.82-4.30]; P = .14). Genetic testing uptake within 6 months was also statistically nonsignificant (13 patients [12.9%] in the intervention group vs 7 patients [8.1%] in the control group; P = .31). At 24 months, genetic testing uptake was 31 patients (30.7%) in intervention vs 18 patients (20.9%) in control (P = .14). Comparing decision-making measures between groups at baseline to 6 months, there were significant decreases in perceived breast cancer risk and in breast cancer worry (standard mean differences = -0.48 and -0.40, respectively).

CONCLUSIONS AND RELEVANCE

This randomized clinical trial did not find a significant increase in genetic counseling uptake among patients who received patient and clinician decision support vs those who received standard education, although more than one-third of the ethnically diverse women enrolled in the intervention underwent genetic counseling. These findings suggest that the main advantage for these high-risk women is the ability to opt for screening and preventive services to decrease their cancer risk.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03470402.

Cocreation with Dutch patients of decision-relevant information to support shared decision-making about adjuvant treatment in breast cancer care

Background

To support patients in shared decision‐making about treatment options, patient decision aids (PtDAs) usually provide benefit/harm information and value clarification methods (VCMs). Recently, personalized risk information from prediction models is also being integrated into PtDAs. This study aimed to design decision‐relevant information (i.e., personalized survival rates, harm information and VCMs) about adjuvant breast cancer treatment in cocreation with patients, in a way that suits their needs and is easily understandable.

Methods

Three cocreation sessions with breast cancer patients (N = 7–10; of whom N = 5 low health literate) were performed. Participants completed creative assignments and evaluated prototypes of benefit/harm information and VCMs. Prototypes were further explored through user testing with patients (N = 10) and healthcare providers (N = 10). The researchers interpreted the collected data, for example, creative and homework assignments, and participants' presentations, to identify key themes. User tests were transcribed and analysed using ATLAS.ti to assess the understanding of the prototypes.

Results

Important information needs were: (a) need for overview/structure of information directly after diagnosis and; (b) need for transparent benefit/harm information for all treatment options, including detailed harm information. Regarding VCMs, patients stressed the importance of a summary/conclusion. A bar graph seemed the most appropriate way of displaying personalized survival rates; the impact of most other formats was perceived as too distressful. The concept of ‘personalization’ was not understood by multiple patients.

Conclusions

A PtDA about adjuvant breast cancer treatment should provide patients with an overview of the steps and treatment options, with layers for detailed information. Transparent information about the likelihood of benefits and harm should be provided. Given the current lack of information on the likelihood of side effects/late effects, efforts should be made to collect and share these data with patients. Further quantitative studies are needed to validate the results and to investigate how the concept of ‘personalization’ can be communicated.

Patient or Public Contribution

Ten breast cancer patients participated in three cocreation sessions to develop decision‐relevant information. Subsequent user testing included 10 patients. The Dutch Breast Cancer Association (BVN) was involved as an advisor in the general study design.

Perceived financial decline related to breast reconstruction following mastectomy in a diverse population-based cohort

BACKGROUND

Despite mandated insurance coverage for breast reconstruction following mastectomy, health care costs are increasingly passed on to women through cost-sharing arrangements and high-deductible health plans. In this population-based study, the authors assessed perceived financial and employment declines related to breast reconstruction following mastectomy.

METHODS

Women with early-stage breast cancer (stages 0-II) diagnosed between July 2013 and May 2015 who underwent mastectomy were identified through the Surveillance, Epidemiology, and End Results registries of Georgia and Los Angeles and were surveyed. Primary outcome measures included patients' appraisal of their financial and employment status after cancer treatment. Multivariable models evaluated the association between breast reconstruction and primary outcomes.

RESULTS

Among 883 patients with breast cancer who underwent mastectomy, 44.2% did not undergo breast reconstruction, and 55.8% underwent reconstruction. Overall, 21.9% of the cohort reported being worse off financially since their diagnosis (25.8% with reconstruction vs 16.6% without reconstruction; P = .002). Women who underwent reconstruction reported higher out-of-pocket medical expenses (32.1% vs 15.6% with expenses greater than $5000; P < .001). Reconstruction was independently associated with a perceived decline in financial status (odds ratio, 1.92; 95% confidence interval, 1.15-3.22; P = .013). Among women who were employed at the time of their diagnosis, there was no association between reconstruction and a perceived decline in employment status (P = .927).

CONCLUSIONS

In this diverse cohort of women who underwent mastectomy, those who elected to undergo reconstruction experienced higher out-of-pocket medical expenses and self-reported financial decline. Patients, providers, and policymakers should be aware of the potential financial implications related to reconstruction despite mandatory insurance coverage.

Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: a Systematic Review

INTRODUCTION

Many health providers and communicators who are concerned that patients will not understand numbers instead use verbal probabilities (e.g., terms such as "rare" or "common") to convey the gist of a health message.

OBJECTIVE

To assess patient interpretation of and preferences for verbal probability information in health contexts.

METHODS

We conducted a systematic review of literature published through September 2020. Original studies conducted in English with samples representative of lay populations were included if they assessed health-related information and elicited either (a) numerical estimates of verbal probability terms or (b) preferences for verbal vs. quantitative risk information.

RESULTS

We identified 33 original studies that referenced 145 verbal probability terms, 45 of which were included in at least two studies and 19 in three or more. Numerical interpretations of each verbal term were extremely variable. For example, average interpretations of the term "rare" ranged from 7 to 21%, and for "common," the range was 34 to 71%. In a subset of 9 studies, lay estimates of verbal probability terms were far higher than the standard interpretations established by the European Commission for drug labels. In 10 of 12 samples where preferences were elicited, most participants preferred numerical information, alone or in combination with verbal labels.

CONCLUSION

Numerical interpretation of verbal probabilities is extremely variable and does not correspond well to the numerical probabilities established by expert panels. Most patients appear to prefer quantitative risk information, alone or in combination with verbal labels. Health professionals should be aware that avoiding numeric information to describe risks may not match patient preferences, and that patients interpret verbal risk terms in a highly variable way.

Individual differences in risk perception and misperception of COVID-19 in the context of political ideology

The COVID‐19 pandemic has been characterized by misinformation, politicization of public health, and extreme differences in risk assessment. In two studies, we sought to understand factors that contribute to differences in people's understanding of the virus and associated risks. We found that conservative participants reported higher levels of acceptable risk, have lower risk estimates of activities, and endorsed more misinformation. Participants with personal health risk factors rated COVID‐19 risks as higher, more reflective participants had lower acceptable risk levels, and impulsive participants endorsed more misinformation. In our second study, we also found that reflective participants were more likely to wear a mask, get vaccinated, and maintain social distancing, and that participants judged arguments about COVID‐19 measures largely based on the claim rather than supporting reasons. By clarifying these individual differences, public health experts can more effectively create targeted interventions for at risk populations, and be better prepared for future outbreaks.

Lower objectively and subjectively assessed numeracy are both associated with poorer self-rated health

Objective

To compare an objective with a subjective numeracy assessment for association with self-reported health status, where numeracy refers to “the degree to which individuals have the capacity to access, process, interpret, communicate, and act on numerical, quantitative, graphical, biostatistical, and probabilistic health information needed to make effective health decisions”

Results

We completed a secondary analysis of two population-based surveys, the Empire State Poll (n = 763) and the Program for the International Assessment of Adult Competencies (PIAAC; n = 2609). The first survey assessed numeracy with a 3-item subjective instrument. The second assessed numeracy with more than 20 math problems. Both used the same measure for self-reported health status. Lower numeracy, whether subjectively or objectively assessed, was associated with worse self-reported health, even after controlling for education and other sociodemographic confounders. The odds ratios for the association were very similar (0.91 and 0.90 respectively). A lengthy objective numeracy assessment and a brief self-report assessment had similar associations with health status. A brief self-report measure of numeracy has similar properties to a lengthy objective assessment and is likely to be more feasible to use to screen patients in practice.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13104-021-05737-y.

An implantable device to treat multiple sclerosis: A discrete choice experiment on patient preferences in three European countries

BACKGROUND

Persons with multiple sclerosis (MS) take their treatment via pills, injections or infusions. A novel mode of disease-modifying treatment administration, an implantable device, is under development. This study determined MS patient preferences for three modes of first-line treatment administration (implant, pills, injectables), and trade-offs regarding treatment characteristics.

METHODS

A survey including a discrete choice experiment was conducted among MS patients in the Netherlands, France, and the United Kingdom. Respondents had to repeatedly choose between various treatment scenarios with four treatment characteristics: risk of relapse, reduction of disease progression, risk of side effects and mode of administration. Data was analysed using a panel latent class logit model.

RESULTS

Based on the preferences of 753 MS patients (response rate 7%: 753/11202), two latent classes were identified (class probability of 74% vs 26%). Persons with relapsing-remitting MS and who administered medication via injections generally preferred any treatment over no treatment. Patients who could walk without an aid were more likely to prefer no treatment. Reducing disease progression was the most important treatment characteristic class 1. Mode of administration was the most important characteristic in class 2. Patients were willing to accept an increase in risk of relapse and disease progression to get their treatment via an implant rather than injections. Predicted uptake was the highest for the implant, followed by pills, injections, and no treatment.

CONCLUSION

We found that a drug-delivery implant could be a potential addition to the MS treatment landscape: MS patients are willing to trade-off risk of relapse and disease progression for an implant, and predicted uptake for an implant is relatively high.

An RCT of a decision aid to support informed choices about taking aspirin to prevent colorectal cancer and other chronic diseases: a study protocol for the SITA (Should I Take Aspirin?) trial

Background

Australian guidelines recommend that all people aged 50–70 years old actively consider taking daily low-dose aspirin (100–300 mg per day) for 2.5 to 5 years to reduce their risk of colorectal cancer (CRC). Despite the change of national CRC prevention guidelines, there has been no active implementation of the guidelines into clinical practice.

We aim to test the efficacy of a health consultation and decision aid, using a novel expected frequency tree (EFT) to present the benefits and harms of low dose aspirin prior to a general practice consultation with patients aged 50–70 years, on informed decision-making and uptake of aspirin.

Methods

Approximately five to seven general practices in Victoria, Australia, will be recruited to participate. Patients 50–70 years old, attending an appointment with their general practitioner (GP) for any reason, will be invited to participate in the trial. Two hundred fifty-eight eligible participants will be randomly allocated 1:1 to intervention or active control arms using a computer-generated allocation sequence stratified by general practice, sex, and mode of trial delivery (face-to-face or teletrial).

There are two co-primary outcomes: informed decision-making at 1-month post randomisation, measured by the Multi-dimensional Measure of Informed Choice (MMIC), and self-reported daily use of aspirin at 6 months. Secondary outcomes include decisional conflict at 1-month and other behavioural changes to reduce CRC risk at both time points.

Discussion

This trial will test the efficacy of novel methods for implementing national guidelines to support informed decision-making about taking aspirin in 50–70-year-olds to reduce the risk of CRC and other chronic diseases.

Trial registration

The Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620001003965. Registered on 10 October 2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-021-05365-8.

Layperson Views about the Design and Evaluation of Decision Aids: A Public Deliberation

PURPOSE

We carried out the first public deliberation to elicit lay input regarding guidelines for the design and evaluation of decision aids, focusing on the example of colorectal ("colon") cancer screening.

METHODS

A random, demographically stratified sample of 28 laypeople convened for 4 days, during which they were informed about key issues regarding colon cancer, screening tests, risk communication, and decision aids. Participants then deliberated in small and large group sessions about the following: 1) What information should be included in all decision aids for colon screening? 2) What risk information should be in a decision aid and how should risk information be presented? 3) What makes a screening decision a good one (reasonable or legitimate)? 4) What makes a decision aid and the advice it provides trustworthy? With the help of a trained facilitator, the deliberants formulated recommendations, and a vote was held on each to identify support and alternative views.

RESULTS

Twenty-one recommendations ("deliberative conclusions") were strongly supported. Some conclusions matched current recommendations, such as that decision aids should be available for use with and without providers present (conclusions 1-4) and should support informed choice (conclusion 9). Some conclusions differed from current recommendations, at least in emphasis-for example, that decision aids should disclose cost of screening (conclusion 11) and should be kept simple and understandable (conclusion 14). Deliberants recommended that decision aids should disclose the baseline risk of getting colon cancer (conclusions 15, 17).

LIMITATIONS

Single location and medical decision.

CONCLUSIONS

Guidelines for design of decision aids should consider putting a greater focus on disclosing cost and keeping decision aids simple, and they possibly should recommend disclosing less extensive amounts of quantitative information than currently recommended.

Head to head randomized trial of two decision aids for prostate cancer

Background

While many studies have tested the impact of a decision aid (DA) compared to not receiving any DA, far fewer have tested how different types of DAs affect key outcomes such as treatment choice, patient–provider communication, or decision process/satisfaction. This study tested the impact of a complex medical oriented DA compared to a more simplistic decision aid designed to encourage shared decision making in men with clinically localized prostate cancer.

Methods

1028 men at 4 VA hospitals were recruited after a scheduled prostate biopsy. Participants completed baseline measures and were randomized to receive either a simple or complex DA. Participants were men with clinically localized cancer (N = 285) by biopsy and who completed a baseline survey. Survey measures: baseline (biopsy); immediately prior to seeing the physician for biopsy results (pre- encounter); one week following the physician visit (post-encounter). Outcome measures included treatment preference and treatment received, knowledge, preference for shared decision making, decision making process, and patients’ use and satisfaction with the DA.

Results

Participants who received the simple DA had greater interest in shared decision making after reading the DA (p = 0.03), found the DA more helpful (p’s < 0.01) and were more likely to be considering watchful waiting (p = 0.03) compared to those receiving the complex DA at Time 2. While these differences were present before patients saw their urologists, there was no difference between groups in the treatment patients received.

Conclusions

The simple DA led to increased desire for shared decision making and for less aggressive treatment. However, these differences disappeared following the physician visit, which appeared to change patients’ treatment preferences.

Trial registration This trial was pre-registered prior to recruitment of participants.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-021-01505-x.

Testing a best practices risk result format to communicate genetic risks

OBJECTIVE

To investigate the effect of a genetic report format using risk communication "best-practices" on risk perceptions, in part to reduce risk overestimates.

METHODS

Adults (N = 470) from the Coriell Personalized Medicine Collaborative (CPMC) were randomized to a 2 × 2 experimental design to receive a hypothetical "personalized" genetic risk result for leukemia (relative risk = 1.5 or 2.5) through either the standard CPMC report (N = 232) or an enriched report informed by best practices (N = 238). A one-time, online survey assessed numeracy and risk perceptions including "feelings of risk" and a numerical estimate.

RESULTS

Regardless of numeracy, participants who received the enriched report had fewer overestimates of their lifetime risk estimate (LRE; odds ratio = 0.19, p < .001) and lower feelings of risk on two of three measures (p < .001). Participants with higher numeracy scores had fewer overestimates of LRE (OR = 0.66, p < .001) and lower feelings of risk on two out of three measures (p ≤ .01); the interaction between numeracy and report format was non-significant.

CONCLUSION

The enriched report produced more accurate LRE and lower risk perceptions regardless of numeracy level, suggesting the enriched format was helpful to individuals irrespective of numeracy ability.

PRACTICE IMPLICATIONS

Best practice elements in risk reports may help individuals form more accurate risk perceptions.

Management of inflammatory bowel disease associated colonic dysplasia: factors predictive of patient choice and satisfaction

AIM

In cases of prognostic uncertainty and equipoise as to the best management (prophylactic colectomy vs. surveillance) for dysplasia in inflammatory bowel disease (IBD), individualized discussion with the patient is required. Further understanding of patients' preferences is needed.

METHODS

A nationwide cross-sectional survey was distributed to adult IBD patients who had never been diagnosed with dysplasia (dysplasia-naïve) and those who had (dysplasia-experienced). Risk perceptions and factors that influence management choices were explored.

RESULTS

There were 123 respondents. A substantial proportion (29%) of the dysplasia-experienced respondents did not feel well informed about the associated cancer risk and/or its management by their clinical team. Contributing themes included contradictory advice and lack of personalized information regarding their cancer risk, alternative management options and impact on long-term quality of life. Decisional regret and health-related quality of life amongst those who chose either surveillance or surgery were comparable, but cancer-related worry scores were elevated in the surveillance group. The dysplasia-naïve respondents reported that they would only consider having a prophylactic colectomy if they had on average a 50% or even higher risk of developing cancer. On multivariable logistic regression analyses, predictors of colectomy or surveillance preference included ethnicity, personality traits such as health locus of control (whether health status is influenced by luck) and differences in perception of what a low risk of cancer is.

CONCLUSIONS

This study identifies predictive factors that can influence decision-making and satisfaction with the counselling process when IBD dysplasia is diagnosed. Further qualitative exploration of cultural themes would be informative.

From the Patient Perspective, Consent Forms Fall Short of Providing Information to Guide Decision Making

OBJECTIVE

This study aimed to gather qualitative feedback on patient perceptions of informed consent forms and elicit recommendations to improve readability and utility for enhanced patient safety and engagement in shared decision making.

METHODS

Sixty interviews in personal interviews were conducted consisting of a literacy and numeracy assessment, a comprehension quiz to assess retention of key information, and open-ended questions to determine reactions, clarity of information, and suggestions for improvement.

RESULTS

Although 68% of the participants had education beyond high school, many still missed comprehension questions and found the forms difficult to read. Recurrent suggestions included specific formatting changes to enhance readability, a need for additional sources of information, mixed attitudes toward inclusion of risk information, and the recognized importance of physician-patient conversations.

CONCLUSIONS

This study provides evidence from the patient perspective that consent forms are too complex and fail to achieve comprehension. Future studies should be conducted using patients' suggestions for form redesign and inclusion of supplemental educational tools to optimize communication and safety to achieve more informed health care decision making.

Improving Debt Literacy by 2/3 Through Four Simple Infographics Requires Numeracy and Not Focusing on Negatives of Debt

Borrowing behavior may be more resistant to formal educational treatments than other financial behaviors. In order to study the process and results of infographics-based debt education, we used eye tracking technology (SMI RED 500 Hz) to monitor the oculomotor behavior of 108 participants (68 females) aged 18 to 60 who were shown 4 infographics. The study used an experimental design with repeated measures and an internal comparison group. We also used scales of debt literacy and a set of information literacy scales: numerical, graph, and linguistic. The results confirm that short-term infographics-based debt education can improve debt literacy significantly. The difference in processing the educational contents that were not known to participants before the educational session suggests that participants with better information literacy make more considerable debt literacy progress. Specifically, we found that numerical literacy is a significant mediator of debt education results, depending on the initial level of debt literacy; this relation is moderated by the focus of visual attention on negatives of debt. We found no significant relationship between debt literacy education results and those of graph and linguistic literacy.

Visual analogies, not graphs, increase patients' comprehension of changes in their health status

OBJECTIVES

Patients increasingly use patient-reported outcomes (PROs) to self-monitor their health status. Visualizing PROs longitudinally (over time) could help patients interpret and contextualize their PROs. The study sought to assess hospitalized patients' objective comprehension (primary outcome) of text-only, non-graph, and graph visualizations that display longitudinal PROs.

MATERIALS AND METHODS

We conducted a clinical research study in 40 hospitalized patients comparing 4 visualization conditions: (1) text-only, (2) text plus visual analogy, (3) text plus number line, and (4) text plus line graph. Each participant viewed every condition, and we used counterbalancing (systematic randomization) to control for potential order effects. We assessed objective comprehension using the International Organization for Standardization protocol. Secondary outcomes included response times, preferences, risk perceptions, and behavioral intentions.

RESULTS

Overall, 63% correctly comprehended the text-only condition and 60% comprehended the line graph condition, compared with 83% for the visual analogy and 70% for the number line (P = .05) conditions. Participants comprehended the visual analogy significantly better than the text-only (P = .02) and line graph (P = .02) conditions. Of participants who comprehended at least 1 condition, 14% preferred a condition that they did not comprehend. Low comprehension was associated with worse cognition (P < .001), lower education level (P = .02), and fewer financial resources (P = .03).

CONCLUSIONS

The results support using visual analogies rather than text to display longitudinal PROs but caution against relying on graphs, which is consistent with the known high prevalence of inadequate graph literacy. The discrepancies between comprehension and preferences suggest factors other than comprehension influence preferences, and that future researchers should assess comprehension rather than preferences to guide presentation decisions.

Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles

BACKGROUND

Shared decision making requires evidence to be conveyed to the patient in a way they can easily understand and compare. Patient decision aids facilitate this process. This article reviews the current evidence for how to present numerical probabilities within patient decision aids.

METHODS

Following the 2013 review method, we assembled a group of 9 international experts on risk communication across Australia, Germany, the Netherlands, the United Kingdom, and the United States. We expanded the topics covered in the first review to reflect emerging areas of research. Groups of 2 to 3 authors reviewed the relevant literature based on their expertise and wrote each section before review by the full authorship team.

RESULTS

Of 10 topics identified, we present 5 fundamental issues in this article. Although some topics resulted in clear guidance (presenting the chance an event will occur, addressing numerical skills), other topics (context/evaluative labels, conveying uncertainty, risk over time) continue to have evolving knowledge bases. We recommend presenting numbers over a set time period with a clear denominator, using consistent formats between outcomes and interventions to enable unbiased comparisons, and interpreting the numbers for the reader to meet the needs of varying numeracy.

DISCUSSION

Understanding how different numerical formats can bias risk perception will help decision aid developers communicate risks in a balanced, comprehensible manner and avoid accidental "nudging" toward a particular option. Decisions between probability formats need to consider the available evidence and user skills. The review may be useful for other areas of science communication in which unbiased presentation of probabilities is important.

Patient Preference Distribution for Use of Statin Therapy

IMPORTANCE

Thresholds for initiating statin therapy should be informed by patients' preferences.

OBJECTIVE

To define the preference distribution for statin therapy across the spectrum of cardiovascular disease (CVD) risk after participants were informed about the benefits and harms of statin therapy.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional survey was conducted from May 13 to June 2, 2020. Participants included 304 individuals aged 40 to 75 years drawn from a nonprobability opt-in panel who had not taken a statin or proprotein convertase subtilisin/kexin type 9 inhibitor in the past 3 years and knew the results of their total cholesterol, high-density lipoprotein cholesterol, and blood pressure measurements.

EXPOSURES

Personalized 10-year CVD risk with and without statin therapy and potential harms of statins.

MAIN OUTCOMES AND MEASURES

The primary outcome was self-reported preference for statin therapy.

RESULTS

The 304 participants had a mean (SD) age of 54.8 (9.9) years; 152 were women (50.0%), 130 (42.8%) non-White, 50 (16.6%) had a high school degree or less education, and 153 (50.8%) reported never needing help reading health materials. When asked their preference for using statin therapy after reviewing their benefit and risk information, 45% of the participants reported they would definitely or probably choose statin therapy. As the risk increased, the proportion who would choose statin therapy generally increased (from 31.1% for a risk <5% to 82.6% for a risk >50%). The minimum risk threshold had to increase to 20% before 75% of respondents in that risk group would want statin therapy. For participants with a risk greater than 10%, the desire to use statin therapy decreased as participants' health literacy, subjective numeracy, and knowledge scores increased.

CONCLUSIONS AND RELEVANCE

In this study, preferences for statin therapy for primary prevention of CVD appeared to vary across the spectrum of 10-year cardiovascular risk, but they were relatively flat at intermediate levels of risk. This preference distribution suggests a broad risk range for shared decision-making.

The impact of the number of tests presented and a provider recommendation on decisions about genetic testing for cancer risk

OBJECTIVE

To determine how the method of presenting testing options and a provider recommendation can influence a decision about genetic testing for inherited cancer predispositions.

METHODS

An online hypothetical vignette study was completed by 454 healthy volunteers. Participants were randomized to receive one of two survey versions which differed by genetic testing choice presentation. One group was shown three options simultaneously (no test, 5-gene or 15-gene), and a second group received the 15-gene option after choosing between the no test and 5-gene options. A preference-based provider recommendation was also incorporated. We examined the effect of these interventions on test selection.

RESULTS

Participants in the simultaneous group were more likely to choose a genetic test than those in the sequential group (OR: 2.35, p=0.003). This effect was no longer observed when individuals who had selected no-test in the sequential group were told about the 15-gene test (OR: 1.03 p=0.932). Incorporating a provider recommendation into the hypothetical scenario led to more preference-consistent choices (χ2 = 8.53, p < 0.0035,).

CONCLUSIONS

A larger menu of testing choices led to higher testing uptake. A preference-based clinician recommendation resulted in more preference-consistent choices.

PRACTICE IMPLICATIONS

The structuring of testing options and preference-sensitive recommendations appear to facilitate informed testing decisions.

Patient-Perceived Versus Actual Risk of Cardiovascular Disease and Associated Willingness to Consider and Use Prevention Therapy

BACKGROUND

Cardiovascular prevention guidelines use estimated 10-year atherosclerotic cardiovascular disease (CVD) risk based on the pooled cohort equations to guide treatment decisions and engage patients in shared decision-making. We sought to determine patient perceived versus actual risk of atherosclerotic CVD and associations with willingness for preventive therapy.

METHODS

We evaluated calculated and perceived CVD risk among 4187 patients across 124 sites in the Patient and Provider Assessment of Lipid Management Registry. Ten-year risk was assessed using the pooled cohort equations; risk relative-to-peers was determined based on age-, sex-, and race-based percentiles; and patient estimates of risk were assessed using patient surveys. Poisson regression models evaluated associations between risk estimates, statin use, and willingness to take prevention therapy.

RESULTS

Overall, there was no correlation between patients' estimates of their 10-year CVD risk and calculated 10-year risk (ρ=-0.01, P_correlation=0.46), regardless of age, sex, race, or socioeconomic status. The majority (72.2%) overestimated their 10-year CVD risk relative to the pooled cohorts equation (mean perceived 33.3% versus mean calculated 17.1%, P_difference<0.01). Patients' perceptions of their risk relative-to-peers were slightly correlated with standardized risk percentiles (ρ=0.19, P<0.01), although most had overly optimistic views of how risk compared with their peers. Increasing perceived risk was not associated with current statin use (P=0.18) but was associated with willingness to consider future prevention therapy (P<0.01). Perceived risk relative-to-peers was associated with increased prevalent statin use (risk ratio 1.04 per category increase [95% CI, 1.02-1.06]) and reported willingness for prevention therapy (risk ratio 1.11 [95% CI, 1.07-1.16]).

CONCLUSIONS

When asked, most patients overestimate their 10-year risk but hold an optimistic bias of their risk relative to age-, race-, and sex-matched peers. Providing accurate absolute risk assessments to patients without proper context may paradoxically decrease many patients' perceived risk of CVD, thereby disincentivizing initiation of CVD risk reduction therapy.

Taking into Account Patient Preferences: A Consensus Study on the Assessment of Psychological Dimensions Within Patient Preference Studies

Patient preferences are gaining recognition among key stakeholders involved in benefit-risk decision-making along the medical product lifecycle. However, one of the main challenges of integrating patient preferences in benefit-risk decision-making is understanding differences in patient preference, which may be attributable to clinical characteristics (eg age, medical history) or psychosocial factors. Measuring the latter may provide valuable information to decision-makers but there is limited guidance regarding which psychological dimensions may influence patient preferences and which psychological instruments should be considered for inclusion in patient preference studies. This paper aims to provide such guidance by advancing evidence and consensus-based recommendations and considerations. Findings of a recent systematic review on psychological constructs having an impact on patients' preferences and health-related decisions were expanded with input from an expert group (n = 11). These data were then used as the basis for final recommendations developed through two rounds of formal evaluation via an online Delphi consensus process involving international experts in the field of psychology, medical decision-making, and risk communication (n = 27). Three classes of recommendations emerged. Eleven psychological constructs reached consensus to be recommended for inclusion with the strongest consensus existing for health literacy, numeracy, illness perception and treatment-related beliefs. We also proposed a set of descriptive and checklist criteria to appraise available psychological measures to assist researchers and other stakeholders in including psychological assessment when planning patient preference studies. These recommendations can guide researchers and other stakeholders when designing and interpreting patient preference studies with a potential high impact in clinical practice and medical product benefit-risk decision-making processes.

Graph literacy matters: Examining the association between graph literacy, health literacy, and numeracy in a Medicaid eligible population

OBJECTIVES

Graphic display formats are often used to enhance health information. Yet limited attention has been paid to graph literacy in people of lower education and lower socioeconomic status (SES). This study aimed to: 1) examine the relationship between graph literacy, numeracy, health literacy and sociodemographic characteristics in a Medicaid-eligible population 2) determine the impact of graph literacy on comprehension and preference for different visual formats.

METHODS

We conducted a cross-sectional online survey among people in the US on Medicaid, and of presumed lower education and SES.

RESULTS

The mean graph literacy score among 436 participants was 1.47 (SD 1.05, range: 0 to 4). Only graph literacy was significantly associated with overall comprehension (p < .001). Mean comprehension scores were highest for the table format (1.91), closely followed by bar graph (1.85) and icon array (1.80). Information comprehension was aligned with preference scores.

CONCLUSIONS

Graph literacy in a Medicaid-eligible population was lower than previous estimates in the US. Tables were better understood, with icon arrays yielding the lowest score. Preferences aligned with comprehension.

PRACTICE IMPLICATIONS

It may be necessary to reconsider the use of graphic display formats when designing information for people with lower educational levels. Further research is needed.

A novel decision aid for acute myeloid leukemia: a feasibility and preliminary efficacy trial

PURPOSE

Acute myeloid leukemia (AML) is a hematologic malignancy characterized by a poor prognosis but also a paradoxical possibility of cure. This renders decision-making complex and imminent. Unfortunately, many patients with AML misestimate their prognosis and treatment risk. While decision aids can improve illness understanding and reduce decisional conflict, there are no validated decision aids for AML. We developed and tested a novel AML decision aid (NCT03442452).

METHODS

Patients (n = 20) were recruited at Duke University from May 2018 to February 2019. Participants completed assessments of AML knowledge and decisional conflict, before and after using the electronic decision aid. The primary endpoint was feasibility (endpoint met if > 80% of study participants completed all study components). Secondary analyses of efficacy were conducted using paired t tests for dependent pre-/post-samples.

RESULTS

The primary endpoint of feasibility was met (100% of participants completed all study components). Secondary analyses showed improved knowledge and reduced decisional conflict after using the decision aid. Knowledge scores improved from a mean of 11.8 (out of 18) correct items at baseline to 15.1 correct items after using the decision aid (mean difference 3.35; p < 0.0001). Decisional conflict scores reduced significantly from baseline to post-test as well (mean difference - 6.5; p = 0.02).

CONCLUSION

These findings suggest that our AML decision aid is a useful tool to improve the patient experience and promote shared decision-making in AML. A randomized efficacy trial is planned.

What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment

Background and Objective

Non-participation in colorectal cancer (CRC) screening needs to be decreased to achieve its full potential as a public health strategy. To facilitate successful implementation of CRC screening towards unscreened individuals, this study aimed to quantify the impact of screening and individual characteristics on non-participation in CRC screening.

Methods

An online discrete choice experiment partly based on qualitative research was used among 406 representatives of the Dutch general population aged 55–75 years. In the discrete choice experiment, respondents were offered a series of choices between CRC screening scenarios that differed on five characteristics: effectiveness of the faecal immunochemical screening test, risk of a false-negative outcome, test frequency, waiting time for faecal immunochemical screening test results and waiting time for a colonoscopy follow-up test. The discrete choice experiment data were analysed in a systematic manner using random-utility-maximisation choice processes with scale and/or preference heterogeneity (based on 15 individual characteristics) and/or random intercepts.

Results

Screening characteristics proved to influence non-participation in CRC screening (21.7–28.0% non-participation rate), but an individual’s characteristics had an even higher impact on CRC screening non-participation (8.4–75.5% non-participation rate); particularly the individual’s attitude towards CRC screening followed by whether the individual had participated in a cancer screening programme before, the decision style of the individual and the educational level of the individual. Our findings provided a high degree of confidence in the internal–external validity.

Conclusions

This study showed that although screening characteristics proved to influence non-participation in CRC screening, a respondent’s characteristics had a much higher impact on CRC screening non-participation. Policy makers and physicians can use our study insights to improve and tailor their communication plans regarding (CRC) screening for unscreened individuals.

Communicating tailored risk information of cancer treatment side effects: Only words or also numbers?

BACKGROUND

The increased availability of patient reported outcome data makes it feasible to provide patients tailored risk information of cancer treatment side effects. However, it is unclear how such information influences patients' risk interpretations compared to generic population-based risks, and which message format should be used to communicate such individualized statistics.

METHODS

A web-based experiment was conducted in which participants (n = 141) read a hypothetical treatment decision-making scenario about four side effect risks of adjuvant chemotherapy for advanced colon cancer. Participants were cancer patients or survivors who were recruited from an online Dutch cancer patient panel. All participants received two tailored risks (of which the reference class was based on their age, gender and tumor stage) and two generic risks conveying the likelihood of experiencing the side effects. The risks were presented either in words-only ('common' and 'very common'), or in a combination of words and corresponding numerical estimates ('common, 10 out of 100' and 'very common, 40 out of 100'). Participants' estimation of the probability, accuracy of their estimation, and perceived likelihood of occurrence were primary outcomes. Perceived personal relevance and perceived uncertainty were secondary outcomes.

RESULTS

Tailored risks were estimated as higher and less accurate than generic risks, but only when they were presented in words; Such differences were not found in the verbal and numerical combined condition. Although tailoring risks did not impact participants' perceived likelihood of occurrence, tailored risks were perceived as more personally relevant than generic risks in both message formats. Finally, tailored risks were perceived as less uncertain than generic risks, but only in the verbal-only condition.

CONCLUSIONS

Considering current interest in the use of personalized decision aids for improving shared decision-making in oncology, it is important that clinicians consider how tailored risks of treatment side effects should be communicated to patients. We recommend both clinicians who communicate probability information during consultations, and decision aid developers, that verbal descriptors of tailored risks should be supported by numerical estimates of risks levels, to avoid overestimation of risks.

Patient Preferences in Surveillance: Findings From a Discrete Choice Experiment in the "My Follow-Up" Study

OBJECTIVES

Approximately 800 000 people die globally from colorectal cancer (CRC) every year. Prevention programs promote early detection, but for people with precancerous lesions, tailoring surveillance to include lifestyle-change programs could enhance prevention potential and improve outcomes.

METHODS

Those with intermediate or high-risk polyps removed during CRC screening colonoscopy within the Northern Ireland CRC Screening Programme were invited to complete 8 discrete choice questions about tailored surveillance, analyzed using random-parameters logit and a latent class modeling approach.

RESULTS

A total of 231 participants (77% male) self-reported comorbid hypertension (53%), high cholesterol (48%), and mean body mass index of 28.7 (overweight). Although 39% of participants were unaware of their CRC risk status, 30.9% indicated they were already making changes to reduce their risk. Although all respondents were significantly risk- and cost-averse, the latent class analysis identified 3 segments (classes): 1. Class 1 (26.8%) significantly favored phone or email support for a lifestyle change, a 17-month testing interval, and noninvasive testing. 2. Class 2 (48.4%) preferred the status quo. 3. Class 3 (24.7%) significantly favored further risk reduction and invasive testing.

CONCLUSIONS

This is the first documented preference study focusing on postpolypectomy surveillance offering lifestyle interventions. Although current care is strongly preferred, risk and cost aversion are important for participants. Latent class analysis shows that some respondents are willing to change diet and lifestyle behaviors, reflecting a teachable moment, with opportunities to personalize and optimize surveillance. Significant discordance between perceived and known risk of recurrence and limited recall of risk information provided within current practice suggest necessary improvements to surveillance programs.

A multicenter trial of a shared DECision Support Intervention for Patients offered implantable Cardioverter-DEfibrillators: DECIDE-ICD rationale, design, Medicare changes, and pilot data

Shared decision making (SDM) facilitates delivery of medical therapies that are in alignment with patients' goals and values. Medicare national coverage decision for several interventions now includes SDM mandates, but few have been evaluated in nationwide studies. Based upon a detailed needs assessment with diverse stakeholders, we developed pamphlet and video patient decision aids (PtDAs) for implantable cardioverter/defibrillator (ICD) implantation, ICD replacement, and cardiac resynchronization therapy with defibrillation to help patients contemplate, forecast, and deliberate their options. These PtDAs are the foundation of the Multicenter Trial of a Shared Decision Support Intervention for Patients Offered Implantable Cardioverter-Defibrillators (DECIDE-ICD), a multicenter, randomized trial sponsored by the National Heart, Lung, and Blood Institute aimed at understanding the effectiveness and implementation of an SDM support intervention for patients considering ICDs. Finalization of a Medicare coverage decision mandating the inclusion of SDM for new ICD implantation occurred shortly after trial initiation, raising novel practical and statistical considerations for evaluating study end points. METHODS/DESIGN: A stepped-wedge randomized controlled trial was designed, guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) planning and evaluation framework using an effectiveness-implementation hybrid type II design. Six electrophysiology programs from across the United States will participate. The primary effectiveness outcome is decision quality (defined by knowledge and values-treatment concordance). Patients with heart failure who are clinically eligible for an ICD are eligible for the study. Target enrollment is 900 participants. DISCUSSION: Study findings will provide a foundation for implementing decision support interventions, including PtDAs, with patients who have chronic progressive illness and are facing decisions involving invasive, preference-sensitive therapy options.

What Helps People Make Values-Congruent Medical Decisions? Eleven Strategies Tested across 6 Studies

Background. High-quality health decisions are often defined as those that are both evidence informed and values congruent. A values-congruent decision aligns with what matters to those most affected by the decision. Values clarification methods are intended to support values-congruent decisions, but their effects on values congruence are rarely evaluated. Methods. We tested 11 strategies, including the 3 most commonly used values clarification methods, across 6 between-subjects online randomized experiments in demographically diverse US populations ( n1 = 1346, n2 = 456, n3 = 840, n4 = 1178, n5 = 841, n6 = 2033) in the same hypothetical decision. Our primary outcome was values congruence. Decisional conflict was a secondary outcome in studies 3 to 6. Results. Two commonly used values clarification methods (pros and cons, rating scales) reduced decisional conflict but did not encourage values-congruent decisions. Strategies using mathematical models to show participants which option aligned with what mattered to them encouraged values-congruent decisions and reduced decisional conflict when assessed. Limitations. A hypothetical decision was necessary for ethical reasons, as we believed some strategies may harm decision quality. Later studies used more outcomes and covariates. Results may not generalize outside US-based adults with online access. We assumed validity and stability of values during the brief experiments. Conclusions. Failing to explicitly support the process of aligning options with values leads to increased proportions of values-incongruent decisions. Methods representing more than half of values clarification methods commonly in use failed to encourage values-congruent decisions. Methods that use models to explicitly show people how options align with their values offer more promise for helping people make decisions aligned with what matters to them. Decisional conflict, while arguably an important outcome in and of itself, is not an appropriate proxy for values congruence.