Implementing a Clinical Decision Support Tool to Improve Physical Activity.

BACKGROUND: Currently, only about half of U.S. adults achieve current physical activity guidelines. Routine physical activity is not regularly assessed, nor are patients routinely counseled by their healthcare provider on achieving recommended levels. The three-question physical activity vital sign (PAVS) was developed to assess physical activity duration and intensity and identify adults not meeting physical activity guidelines. Clinical decision support provided via a best practice advisory in an electronic health record (EHR) system can be triggered as a prompt, reminding healthcare providers to implement the best practice intervention when appropriate. Remote patient monitoring of physical activity can provide objective data in the EHR. OBJECTIVES: This study aimed to evaluate the feasibility and clinical utility of embedding the PAVS and a triggered best practice advisor into the EHR in an ambulatory preventive cardiology practice setting to alert providers to patients reporting low physical activity and prompt healthcare providers to counsel these patients as needed. METHODS: Three components based in the EHR were integrated for the purpose of this study: Patients completed the PAVS through their electronic patient portal prior to an office visit, a best practice advisory was created to prompt providers to counsel patients who reported low levels of physical activity, and remote patient monitoring via Fitbit synced to the EHR provided objective physical activity data. The intervention was pilot-tested in the Epic EHR for 1 year (July 1, 2021 to June 30, 2022). Qualitative feedback on the intervention from both providers and patients was obtained at the completion of the study. RESULTS: Monthly assessments of the use of the PAVS and best practice advisory and remote patient monitoring were completed. Patients' completion of the PAVS varied from 35% to 48% per month. The best practice advisory was signed by providers between 2% and 65% and was acknowledged by 2%-22% per month. The majority (58%) of patients were able to sync a Fitbit device to their EHR for remote monitoring. DISCUSSION: Although uptake of each component needs improvement, this pilot demonstrated the feasibility of incorporating a physical activity promotion intervention into the EHR. Qualitative feedback provided guidance for future implementation.

Perceptions on HIV-related Comorbidities and Usability of a Virtual Environment as CVD Prevention Education in Sexual Minority Men with HIV: Formative Phases of a Pilot RCT.

BACKGROUND: Sexual minority men with HIV are at increased risk of cardiovascular disease (CVD) and have been underrepresented in behavioral research and in clinical trials. OBJECTIVE: To explore perceptions about HIV-related comorbidities and assess the interest and usability of a virtual environment as CVD prevention education in Black and Latinx sexual minority men with HIV. METHODS: This is a 3-phase pilot randomized control behavioral trial. We report on formative phases 1 and 2 that informed virtual environment content and features using qualitative interviews, usability testing, and beta testing with 25 individuals. In Phase 1, 15 participants completed interviews exploring HIV-related illnesses of concern that would be used to tailor the virtual environment. In Phase 2, usability and beta testing were conducted with 10 participants to assess interest, features, and content. RESULTS: In Phase 1, we found CVD risk factors included high blood pressure, heart attack, stroke, and diabetes. Cancer (prostate, colon, and others) was a common concern and so were the development of mental health conditions. In Phase 2, all participants completed the 12-item usability checklist with favorable feedback within 30 to 60 minutes. Beta-testing interviews suggested: 1) Mixed perceptions about health and HIV, 2) High risk for comorbid conditions, 3) Virtual environment features were promising, and 4) need for diverse avatar representations. CONCLUSIONS: We identified several comorbid conditions of concern and findings carry significant implications for mitigating barriers to preventative health screenings given the shared risk factors between HIV and related comorbidities. Highly rated aspects of the virtual environment were anonymity, meeting others who identify as gay or bisexual with HIV, validating LGBTQ+ images and content, and accessibility to CVD prevention education. Critical end-user feedback from beta-testing suggested more options for avatar customization in skin, hair, body representation. Our next phase will test the virtual environment as a new approach to advancing cardiovascular health equity in ethnic and racial sexual minority men with HIV. CLINICALTRIAL: clinicaltrials.gov (NCT04061915). INTERNATIONAL REGISTERED REPORT: RR2-10.2196/38348.

Network Psychometrics of the 10-Item Perceived Stress Scale Among Patients With High Cardiovascular and Type 2 Diabetes Risk Using Exploratory Graph Analysis.

BACKGROUND: No studies have explored the internal structure of the 10-item Perceived Stress Scale in patients with high cardiovascular and diabetes risk. OBJECTIVE: We scrutinized the dimensionality of the scale in this patient group using exploratory graph analysis, a technique within the developing field of network psychometrics. METHODS: Analyses were conducted on 200 primary care patients. A bootstrap version of exploratory graph analysis assessed the stability of the dimensions based on structural consistency, item stability, and network loadings. RESULTS: Exploratory graph analysis revealed a 2-dimensional structure; structural consistency of the first dimension was high (0.863), whereas that for the second was low (0.667). Items belonging to the latter dimension did not cluster consistently with each other (ie, low item stability) and were not strongly associated with any particular dimension (ie, weak network loadings). CONCLUSION: Exploratory graph analysis offers unique outputs, making it easy to assess the dimensional integrity of scales. Further research is warranted regarding the second dimension of the Perceived Stress Scale.

Latent Class Analysis of Depressive Symptom Phenotypes Among Black/African American Mothers.

BACKGROUND: Depression is a growing global problem with significant individual and societal costs. Despite their consequences, depressive symptoms are poorly recognized and undertreated because wide variation in symptom presentation limits clinical identification-particularly among African American (AA) women-an understudied population at an increased risk of health inequity. OBJECTIVES: The aims of this study were to explore depressive symptom phenotypes among AA women and examine associations with epigenetic, cardiometabolic, and psychosocial factors. METHODS: This cross-sectional, retrospective analysis included self-reported Black/AA mothers from the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure study (data collected in 2015-2020). Clinical phenotypes were identified using latent class analysis. Bivariate logistic regression examined epigenetic age, cardiometabolic traits (i.e., body mass index ≥ 30 kg/m 2 , hypertension, or diabetes), and psychosocial variables as predictors of class membership. RESULTS: All participants were Black/AA and predominantly non-Hispanic. Over half of the sample had one or more cardiometabolic traits. Two latent classes were identified (low vs. moderate depressive symptoms). Somatic and self-critical symptoms characterized the moderate symptom class. Higher stress overload scores significantly predicted moderate-symptom class membership. DISCUSSION: In this sample of AA women with increased cardiometabolic burden, increased stress was associated with depressive symptoms that standard screening tools may not capture. Research examining the effect of specific stressors and the efficacy of tools to identify at-risk AA women are urgently needed to address disparities and mental health burdens.

The Impact of an Electronic Best Practice Advisory on Patients' Physical Activity and Cardiovascular Risk Profile.

BACKGROUND: Regular physical activity (PA) is a component of cardiovascular health and is associated with a lower risk of cardiovascular disease (CVD). However, only about half of US adults achieved the current PA recommendations. OBJECTIVE: The study purpose was to implement PA counseling using a clinical decision support tool in a preventive cardiology clinic and to assess changes in CVD risk factors in a sample of patients enrolled over 12 weeks of PA monitoring. METHODS: This intervention, piloted for 1 year, had 3 components embedded in the electronic health record: assessment of patients' PA, an electronic prompt for providers to counsel patients reporting low PA, and patient monitoring using a Fitbit. Cardiovascular disease risk factors included PA (self-report and Fitbit), body mass index, blood pressure, lipids, and cardiorespiratory fitness assessed with the 6-minute walk test. Depression and quality of life were also assessed. Paired t tests assessed changes in CVD risk. RESULTS: The sample who enrolled in the remote patient monitoring (n = 59) were primarily female (51%), White adults (76%) with a mean age of 61.13 ± 11.6 years. Self-reported PA significantly improved over 12 weeks (P = .005), but not Fitbit steps (P = .07). There was a significant improvement in cardiorespiratory fitness (469 ± 108 vs 494 ± 132 m, P = .0034), and 23 participants (42%) improved at least 25 m, signifying a clinically meaningful improvement. Only 4 participants were lost to follow-up over 12 weeks of monitoring. CONCLUSIONS: Patients may need more frequent reminders to be active after an initial counseling session, perhaps getting automated messages based on their step counts syncing to their electronic health record.

Stigma and quality of life in adults with sickle cell disease in Jamaica and the United States.

Sickle cell disease (SCD) is the most common inherited blood disorder in both Jamaica and the United States and is characterized by poor quality of life and debilitating complications, with the hallmark symptom being pain caused by acute and chronic conditions. Individuals with SCD often experience stigma due to their disease status, opioid use, and race. This study sought to understand the influence of perceived stigma and demographic/clinical characteristics on quality of life in adults with SCD in Jamaica (n = 50) and the United States (n = 50). Participants completed interviewer-administered surveys including demographic/clinical characteristics; the Measure of Sickle Cell Stigma (MoSCS); and the Adult Sickle Cell Quality of Life Measurement System (ASCQ-Me). A set of general linear models for each country was built to examine the influence of explanatory variables on the quality of life outcomes. Overall, stigma scores were low for both countries, with the exception of the MoSCS disclosure concerns and expected discrimination subscales, where scores averaged medium and high, respectively. In both countries, being employed was associated with better quality of life; and reports of stigma (internalized stigma and expected discrimination) was associated with worse quality of life. These findings have several implications for healthcare providers caring for individuals with SCD, policy makers, and researchers. Specifically, findings can be used to advocate for improved access to mental health care for individuals with SCD and inform stigma reduction intervention approaches in SCD.

Latent Profile/Class Analysis Identifying Differentiated Intervention Effects.

BACKGROUND: The randomized clinical trial is generally considered the most rigorous study design for evaluating overall intervention effects. Because of patient heterogeneity, subgroup analysis is often used to identify differential intervention effects. In research of behavioral interventions, such subgroups often depend on a latent construct measured by multiple correlated observed variables. OBJECTIVES: The purpose of this article was to illustrate latent class analysis/latent profile analysis as a helpful tool to characterize latent subgroups, conduct exploratory subgroup analysis, and identify potential differential intervention effects using clinical trial data. METHODS: After reviewing different approaches for subgroup analysis, latent class analysis/latent profile analysis was chosen to identify heterogeneous patient groups based on multiple correlated variables. This approach is superior in this specific scenario because of its ability to control Type I error, assess intersection of multiple moderators, and improve interpretability. We used a case study example to illustrate the process of identifying latent classes as potential moderators based on both clinical and perceived risk scores and then tested the differential effects of health coaching in improving health behavior for patients with elevated risk of developing coronary heart disease. RESULTS: We identified three classes based on one clinical risk score and four perceived risk measures for individuals with high risk of developing coronary heart disease. Compared to other classes we assessed, individuals in the class with low clinical risk and low perceived risk benefit most from health coaching to improve their physical activity levels. DISCUSSION: Latent class analysis/latent profile analysis offers a person-centered approach to identifying distinct patient profiles that can be used as moderators for subgroup analysis. This offers tremendous opportunity to identify differential intervention effects in behavioral research.

Exploring the effects of genomic testing on fear of cancer recurrence among breast cancer survivors.

OBJECTIVE: Fear of cancer recurrence (FCR) is the greatest unmet psychosocial need among breast cancer survivors (BCS). The Oncotype Dx® test predicts the 10-year risk of distant recurrence and benefit of adjuvant chemotherapy among women with early stage hormone receptor-positive breast cancer. Despite the test's clinical utility, psychosocial responses are poorly understood. METHODS: A descriptive cross-sectional study was conducted to explore associations between Oncotype Dx® test results (Recurrence Score [RS]) and FCR, health-related quality of life (HRQOL), distress, anxiety, depression, illness representation and perceived risk. Bivariate analyses were used to examine the associations between variables followed by multiple linear regression to examine predictors of FCR. RESULTS: Greater FCR was associated with higher distress, anxiety, depression, illness representation and poorer HRQOL. BCS's with a high Oncotype Dx® RS reported higher overall fear (p = 0.013) and greater perceived consequences of their cancer (p = 0.034) compared to BCS's with a low RS. Using multiple linear regression, anxiety ( ß  = 0.21, p = 0.016), greater emotional response (ß  = 0.45, p < 0.001) and perceived consequences ( ß  = 0.18, p = 0.039) of illness explained 58% of the variance (p < 0.001) in FCR. CONCLUSION: BCS's with higher risk of recurrence may experience higher FCR. However, for FCR, modifiable factors such as anxiety and illness representation (greater emotional response and perceived consequences of illness) may be more important than non-modifiable factors such as Oncotype Dx® test results and age. Further research is needed to develop personalized interventions to improve BCS's outcomes.

Latent Class Analysis of Symptom Burden Among Seriously Ill Adults at the End of Life.

BACKGROUND: Serious illness is characterized by high symptom burden that negatively affects quality of life (QOL). Although palliative care research has highlighted symptom burden in seriously ill adults with cancer, symptom burden among those with noncancer serious illness and multiple chronic conditions has been understudied. Latent class analysis is a statistical method that can be used to better understand the relationship between severity of symptom burden and covariates, such as the presence of multiple chronic conditions. Although latent class analysis has been used to highlight subgroups of seriously ill adults with cancer based on symptom clusters, none have incorporated multiple chronic conditions. OBJECTIVES: The objectives of this study were to (a) describe the demographic and baseline characteristics of seriously ill adults at the end of life in a palliative care cohort, (b) identify latent subgroups of seriously ill individuals based on severity of symptom burden, and (c) examine variables associated with latent subgroup membership, such as QOL, functional status, and the presence of multiple chronic conditions. METHODS: A secondary data analysis of a palliative care clinical trial was conducted. The latent class analysis was based on the Edmonton Symptom Assessment System, which measures nine symptoms on a scale of 0-10 (e.g., pain, fatigue, nausea, depression, anxiousness, drowsiness, appetite, well-being, and shortness of breath). Clinically significant cut-points for symptom severity were used to categorize each symptom item in addition to a categorized total score. RESULTS: Three latent subgroups were identified (e.g., low, moderate, and high symptom burden). Lower overall QOL was associated with membership in the moderate and high symptom burden subgroups. Multiple chronic conditions were associated with statistically significant membership in the high symptom burden latent subgroup. Older adults between 65 and 74 years had a lower likelihood of moderate or high symptom burden subgroup membership compared to the low symptom burden class. DISCUSSION: Lower QOL was associated with high symptom burden. Multiple chronic conditions were associated with high symptom burden, which underlines the clinical complexity of serious illness. Palliative care at the end of life for seriously ill adults with high symptom burden must account for the presence of multiple chronic conditions.

Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.

PURPOSE: This study identified facilitators and barriers pertaining to the use of multiple mobile health (mHealth) devices (Fitbit Alta® fitness tracker, iHealth® glucometer, BodyTrace® scale) that support self-management behaviors in individuals with type 2 diabetes mellitus (T2DM). DESIGN: This qualitative descriptive study presents study participants' perceptions of using multiple mobile devices to support T2DM self-management. Additionally, this study assessed whether participants found visualizations, generated from each participant's health data as obtained from the three separate devices, useful and easy to interpret. METHODS: Semistructured interviews were completed with a convenience sample of participants (n = 20) from a larger randomized control trial on T2DM self-management. Interview questions focused on participants' use of three devices to support T2DM self-management. A study team member created data visualizations of each interview participant's health data using RStudio. RESULTS: We identified two themes from descriptions of study participants: feasibility and usability. We identified one theme about visualizations created from data obtained from the mobile devices. Despite some challenges, individuals with T2DM found it feasible to use multiple mobile devices to facilitate engagement in T2DM self-management behaviors. DISCUSSION: As mHealth devices become increasingly popular for diabetes self-management and are integrated into care delivery, we must address issues associated with the use of multiple mHealth devices and the use of aggregate data to support T2DM self-management. CLINICAL RELEVANCE: Real-time patient-generated health data that are easily accessible and readily available can assist T2DM self-management and catalyze conversations, leading to better self-management. Our findings lay an important groundwork for understanding how individuals with T2DM can use multiple mHealth devices simultaneously to support self-management.

Health Behavior Trajectories in High Cardiovascular Risk Populations: Secondary Analysis of a Clinical Trial.

BACKGROUND: The application of latent class growth analysis (LCGA) has been limited in behavioral studies on high-cardiovascular-risk populations. AIM: The current study aimed to identify distinct health behavior trajectories in high-cardiovascular-risk populations using LCGA. We also examined the baseline individual characteristics associated with different health behavior trajectories and determined which trajectory is associated with improved cardiovascular risk outcomes at 52 weeks. METHODS: This secondary analysis of a clinical trial included 200 patients admitted to primary care clinics. Latent class growth analysis was conducted to identify the trajectories of physical activity and dietary intake; these were measured at 4 different time points during a 52-week study period. Analysis of variance/χ2 test was used to assess the associations between baseline individual characteristics and trajectories, and logistic regression analysis was used to identify associations between trajectories and cardiovascular risk outcomes at 52 weeks. RESULTS: Three trajectories were identified for physical activity (low-, moderate-, and high-stable). Risk perception, patient activation, and depressive symptoms predicted the trajectories. High-stable trajectory for physical activity was associated with better cardiovascular risk outcomes at the 52-week follow-up. Two trajectories (low-stable and high-decreasing) were identified for percent energy from fat, but the factors that can predict trajectories were limited. CONCLUSIONS: Interventions are needed to target patients who begin with a lower physical activity level, with the goal of enhanced cardiovascular health. The predictors identified in the study may facilitate earlier and more tailored interventions.

Human-centered approaches that integrate sensor technology across the lifespan: Opportunities and challenges.

Children, parents, older adults, and caregivers routinely use sensor technology as a source of health information and health monitoring. The purpose of this paper is to describe three exemplars of research that used a human-centered approach to engage participants in the development, design, and usability of interventions that integrate technology to promote health. The exemplars are based on current research studies that integrate sensor technology into pediatric, adult, and older adult populations living with a chronic health condition. Lessons learned and considerations for future studies are discussed. Nurses have successfully implemented interventions that use technology to improve health and detect, prevent, and manage diseases in children, families, individuals and communities. Nurses are key stakeholders to inform clinically relevant health monitoring that can support timely and personalized intervention and recommendations.

Relationships Among Parental Psychological Distress, Parental Feeding Practices, Child Diet, and Child Body Mass Index.

BACKGROUND: Parents often play a main role in establishing the dietary patterns of preschool children, but there is no clear understanding about the relationship between parental psychological distress and child diet and body mass index (BMI). OBJECTIVE: The aim of this study was to examine the relationships among parental psychological distress, parental feeding practices, child diet, and child BMI in families with young children. METHODS: We conducted a mixed-methods study with families (parent-child dyad) of children aged 2-5 years. Measures included demographic data, parental general stress, parenting stress, parental sleep quality, parental depressive symptoms, social support for parents, mealtime environment, child feeding practice, child diet, and child BMI, with well-validated questionnaires completed by parents. Using structural equation models, we examined the path relationships of these factors. We also interviewed a subsample of 13 parents. RESULTS: A total of 256 families participated. Higher parental psychological distress was associated with higher parental unhealthy feeding practices (B = 0.31, p < .01). However, a parental unhealthy practice in feeding was not associated with child's unhealthy diet or BMI. There was no direct relationship between parental psychological distress and child BMI. Social support for parents was significantly inversely related to parental psychological distress (B = -11.59, p < .01), and the relationship between social support for parents and parental unhealthy feeding practices approached significance (B = 6.11, p = .05). A main theme from analysis of parent interview was that parent stress and fatigue influenced their feeding and food preparation. DISCUSSION: Parental psychological distress is a critical influential factor in parental feeding practices. This finding highlights potential foci in intervention programs to address parental psychological distress.

Integrative Review of Recruitment of Research Participants Through Facebook.

BACKGROUND: Facebook (FB) has been widely used recently to recruit participants for adult health research. However, little is known about its effectiveness, cost, and the characteristics of participants recruited via FB when compared to other recruitment methods. OBJECTIVES: The purpose of this integrative review was to examine the published evidence concerning the use of FB in participant recruitment for adult health research, as compared to other social media, online, and traditional recruitment methods. METHODS: In this integrative review, we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed, CINAHL, SCOPUS, and Web of Science were the electronic databases used to identify the published articles. In regard to language, the search was limited. RESULTS: The efficacy and cost-effectiveness of using FB for recruitment in healthcare research as compared to more traditional forms of recruitment remain unclear. Reporting of recruitment strategies is inconsistent, and costs are often not included. FB is being used for recruitment frequently with other methods and, although often effective, can be costly. DISCUSSION: FB is used to recruit participants for a variety of studies, with researchers using both free and paid ads to reach potential participants. Reporting of recruitment methods needs to be more rigorous, streamlined, and standardized in scientific papers.

A Framework for Using eHealth Interventions to Overcome Medical Mistrust Among Sexual Minority Men of Color Living with Chronic Conditions.

The purpose of this paper is to present a stepwise, multi-construct, innovative framework that supports the use of eHealth technology to reach sexual minority populations of color to establish trustworthiness and build trust. The salience of eHealth interventions can be leveraged to minimize the existing paradigm of medical mistrust among sexual minority populations of color living with chronic illnesses. These interventions include virtual environments and avatar-led eHealth videos, which address psychosocial and structural-level challenges related to mistrust. Our proposed framework addresses how eHealth interventions enable technology adoption and usage, anonymity, co-presence, self-disclosure, and social support and establish trustworthiness and build trust.

Place of Residence and Cognitive Function among the Adult Population in India.

BACKGROUND: The place of residence has been linked to cognitive function among adults in developed countries. This study examined how urban and rural residence was associated with cognitive function among adults in India. METHODS: The World Health Organization Study on Global AGEing and Adult Health data was used to examine cognition among 6,244 community-residing adults age 50+ in 6 states in India. Residential status was categorized as urban, rural, urban-to-urban, rural-to-urban, rural-to-rural, and urban-to-rural. Cognition was assessed by immediate and delayed recall tests, digit span test, and verbal fluency test. Multilevel models were used to account for state-level differences and adjusted for individual-level sociodemographic, psychosocial, and health-related factors. RESULTS: Urban residents and urban-to-urban migrants had the highest levels of cognition, whereas rural residents and those who migrated to (or within) rural areas had the lowest cognition. The differences largely persisted after adjustment for multiple covariates; however, rural-to-urban migrants had no difference in cognition from urban residents once socioeconomic factors were taken into account. CONCLUSION: Cognition among adults in India differed significantly according to their current and past place of residence. Socioeconomic factors played an important role in the cognitive function of adults in urban areas.

Type 2 Diabetes Education and Support in a Virtual Environment: A Secondary Analysis of Synchronously Exchanged Social Interaction and Support.

BACKGROUND: Virtual environments (VEs) facilitate interaction and support among individuals with chronic illness, yet the characteristics of these VE interactions remain unknown. OBJECTIVE: The objective of this study was to describe social interaction and support among individuals with type 2 diabetes (T2D) who interacted in a VE. METHODS: Data included VE-mediated synchronous conversations and text-chat and asynchronous emails and discussion board posts from a study that facilitated interaction among individuals with T2D and diabetes educators (N=24) in 2 types of sessions: education and support. RESULTS: VE interactions consisted of communication techniques (how individuals interact in the VE), expressions of self-management (T2D-related topics), depth (personalization of topics), and breadth (number of topics discussed). Individuals exchanged support more often in the education (723/1170, 61.79%) than in the support (406/1170, 34.70%) sessions or outside session time (41/1170, 3.50%). Of all support exchanges, 535/1170 (45.73%) were informational, 377/1170 (32.22%) were emotional, 217/1170 (18.55%) were appraisal, and 41/1170 (3.50%) were instrumental. When comparing session types, education sessions predominately provided informational support (357/723, 49.4%), and the support sessions predominately provided emotional (159/406, 39.2%) and informational (159/406, 39.2%) support. CONCLUSIONS: VE-mediated interactions resemble those in face-to-face environments, as individuals in VEs engage in bidirectional exchanges with others to obtain self-management education and support. Similar to face-to-face environments, individuals in the VE revealed personal information, sought information, and exchanged support during the moderated education sessions and unstructured support sessions. With this versatility, VEs are able to contribute substantially to support for those with diabetes and, very likely, other chronic diseases.

Creating a sustainable collaborative consumer health application for chronic disease self-management.

As the prevalence of chronic diseases increase, there is a need for consumer-centric health informatics applications that assist individuals with disease self-management skills. However, due to the cost of development of these applications, there is also a need to build a disease agnostic architecture so that they could be reused for any chronic disease. This paper describes the architecture of a collaborative virtual environment (VE) platform, LIVE©, that was developed to teach self-management skills and provide social support to those individuals with type 2 diabetes. However, a backend database allows for the application to be easily reused for any chronic disease. We tested its usability in the context of a larger randomized controlled trial of its efficacy. The usability was scored as 'good' by half of the participants in the evaluation. Common errors in the testing and solutions to address initial usability issues are discussed. Overall, LIVE© represents a usable and generalizable platform that will be adapted to other chronic diseases and health needs in future research and applications.

Impact of Genetic Testing and Family Health History Based Risk Counseling on Behavior Change and Cognitive Precursors for Type 2 Diabetes.

Family health history (FHH) in the context of risk assessment has been shown to positively impact risk perception and behavior change. The added value of genetic risk testing is less certain. The aim of this study was to determine the impact of Type 2 Diabetes (T2D) FHH and genetic risk counseling on behavior and its cognitive precursors. Subjects were non-diabetic patients randomized to counseling that included FHH +/- T2D genetic testing. Measurements included weight, BMI, fasting glucose at baseline and 12 months and behavioral and cognitive precursor (T2D risk perception and control over disease development) surveys at baseline, 3, and 12 months. 391 subjects enrolled of which 312 completed the study. Behavioral and clinical outcomes did not differ across FHH or genetic risk but cognitive precursors did. Higher FHH risk was associated with a stronger perceived T2D risk (pKendall < 0.001) and with a perception of "serious" risk (pKendall < 0.001). Genetic risk did not influence risk perception, but was correlated with an increase in perception of "serious" risk for moderate (pKendall = 0.04) and average FHH risk subjects (pKendall = 0.01), though not for the high FHH risk group. Perceived control over T2D risk was high and not affected by FHH or genetic risk. FHH appears to have a strong impact on cognitive precursors of behavior change, suggesting it could be leveraged to enhance risk counseling, particularly when lifestyle change is desirable. Genetic risk was able to alter perceptions about the seriousness of T2D risk in those with moderate and average FHH risk, suggesting that FHH could be used to selectively identify individuals who may benefit from genetic risk testing.

Improving Diabetes Self-Management Support: Goal-Setting Across the Continuum of Care.

IN BRIEF Goal-setting has consistently been promoted as a strategy to support behavior change and diabetes self-care. Although goal-setting conversations occur most often in outpatient settings, clinicians across care settings need to better understand and communicate about the priorities, goals, and concerns of those with diabetes to develop collaborative, person-centered partnerships and to improve clinical outcomes. The electronic health record is a mechanism for improved communication and collaboration across the continuum of care. This article describes a quality improvement project that was intended to improve the person-centeredness of care for adults with diabetes by offering goal-setting and self-management support during and after hospitalization.