W26. WHAT DO PSYCHIATRIC CLINICIANS NEED TO ADVANCE GENOMICS INFORMED PRECISION PSYCHIATRIC CARE?

European Neuropsychopharmacology · 2025-10-01

Abstract P171: Patient and Interdisciplinary HIV Care Experts Illness Representations on HIV Comorbidities and Usability of a Virtual Environment as Heart Disease Prevention Education in Ethnic and Racial Sexual Minority Men With HIV

Circulation · 2024-03-19

Background: Black and Latinx sexual minority men with HIV are at increased risk of CVD and have been underrepresented in clinical trials. The American Heart Association has called for an increase in interventions that focus on enhancing cardiovascular health in underserved communities by addressing social determinants and modifiable risk factors of CVD. Objective: To explore patient and HIV care experts’ perceptions about HIV comorbidities and assess usability of a virtual environment as CVD prevention education in Black and Latinx sexual minority men with HIV. Methods: This two-phase study is part of a pilot behavioral clinical trial informed by the American Heart Association’s metrics for cardiovascular health. Qualitative Phase 1 data were collected June 2021 to May 2022. Phase 2 data were collected August 2022 to October 2022. Using convenience sampling, we recruited a) Black and Latinx sexual minority men with HIV, and b) interdisciplinary HIV care experts. Eligibility criteria for non-HIV care experts were: 1) self-identify as gay or bisexual; 2) HIV serostatus positive; 3) ages 30 to 65; 4) access to a laptop or desktop. We explored HIV comorbidities of concern and conducted usability testing of the virtual environment. Eighty-four pages of interview data were analyzed using NVivo 12. Results: Phase 1 themes included: Mixed Perceptions about Health, High Risk for Comorbidities, and Virtual Environment Features. CVD risk factors were consistently expressed in relation to HIV, including hypertension, heart attack, stroke, and diabetes. Additionally, kidney, and liver disease were identified as important. Cancer was a common concern and so were the development of mental health conditions. All participants in Phase 2 completed the usability checklist with favorable feedback. Conclusions: We identified hypertension, diabetes, asthma, and cancer were comorbidities of concern. These findings carry significant implications for mitigating barriers to preventative health screenings in Black and Latinx sexual minority men with HIV, given shared risk factors between HIV, CVD, and cancer. We also found that usability of a virtual environment as CVD prevention education was promising as it offered anonymity and access to reliable health information that traverses geography. A virtual environment may serve as a novel modality for extending the reach of prevention education and clinical trials into the hands of ethnic and racial, sexual minoritized individuals that have been underrepresented in advancements in health equity.

Developing and testing a web-based platform for antiretroviral therapy (ART) adherence support among adolescents and young adults (AYA) living with HIV

PEC Innovation · 2024-02-12 · 3 citations

Objective: Describe the development and testing of a web-based platform for antiretroviral treatment (ART) adherence support among HIV+ adolescents and young adults (AYA) in a randomized controlled trial (RCT). Methods: A seven-member multi-disciplinary team operationalized the flat, password protected, web-based platform. Manualized protocols guided the objectives and content for each of the eight web-based sessions. Team members evaluated usability and content validity. Client satisfaction and perceived ease of use was evaluated with the first ten HIV+ AYA participants. Results: The web-based platform was developed, evaluated, refined, implemented and pilot tested between September 2020 to April 2022. Usability was rated as high; the evaluation of content validity showed an excellent fit between session content and objectives. HIV+ AYA participants (mean age = 24.2 years) were satisfied with the quality, type, and amount of support/education received, and found the platform easy to use, operate, and navigate. Average time spent per session was 6.5 min. Conclusion: Findings support the usability, validity, acceptability, and feasibility of this web-based platform for ART adherence support among HIV+ AYA. Innovation: Our research and findings are responsive to research gaps and the need for transparency in the methodological development and testing of web-based control arms for ART adherence support among HIV+ AYA.

Health Coaching Impacts Stage-Specific Transitions in Multiple Health Behaviors for Patients at High Risk for Coronary Heart Disease and Type 2 Diabetes

The Journal of Cardiovascular Nursing · 2024-10-24

BACKGROUND: Multiple behavior change interventions have gained traction in the behavioral health space. Yet, previous studies on health coaching (HC) focused on testing its effect on stages of change for individual health behaviors. OBJECTIVE: The purpose of this study was to examine the effects of HC on stages of change across multiple health behavior domains among patients at high risk of coronary heart disease and type 2 diabetes. METHODS: This secondary analysis of a randomized clinical trial included 200 primary care patients (mean age of 47.7 years, 49.0% women, 60.5% Whites) who completed transtheoretical model-based questionnaires related to weight reduction, exercise, healthier eating, and stress management. Multigroup latent transition analysis was used to compare the stage of change distributions and transitions over time between HC and controls at baseline, midpoint of the intervention (3 months), and postintervention (6 months). RESULTS: Three distinct categories of behavior change were identified ("Contemplation," "Preparation to Action," and "Action"), and membership in these categories changed over time as a function of intervention exposure. Both groups exhibited positive transitions through stages of change from baseline to 3 months. Pronounced intervention effects emerged from 3 to 6 months, revealing larger differences in transition probabilities between the groups. In particular, HC increased patients' likelihood of transitioning from "Contemplation" to both "Preparation for Action" and "Action," as well as from "Preparation for Action" to "Action." The control group remained stagnant during the same period. CONCLUSIONS: Although HC produces changes across multiple behavioral domains, it was most effective for patients who were reluctant or ambivalent about changing their behaviors.

Abstract P437: Testing a Clinical Decision Support Tool to Promote Physical Activity

Circulation · 2023-02-28

Introduction: Physical activity (PA) is an essential component of health, yet it is not regularly assessed, nor are patients routinely counseled on PA as recommended by the AHA. The aim of this study was to evaluate the acceptability and clinical utility of incorporating an electronic clinical decision support (CDS) tool and remote patient monitoring to assess, promote and monitor PA in a preventive cardiology clinic. Methods: The CDS tool was pilot-tested in the Epic electronic health record (EHR) from July 2021-June 2022. Patients answered 3 questions about routine PA in their patient portal prior to an office visit. The CDS alerted the provider to counsel the patient if their PA level was < 50% of recommended PA. These patients were invited to participate in remote patient monitoring for PA using a Fitbit connected to their EHR. The Practical, Robust Implementation and Sustainability Model (PRISM) was used to guide and evaluate the implementation. Qualitative feedback was collected from providers and patients. Results: Over 12 months, patients answered a 3-question PA screener 33%-43 % per month and the CDS tool fired a range of 79-125 times per month. The HCP opened and signed the CDS tool between 3.2% to 21.6% monthly; it was acknowledged (e.g., ‘PA not appropriate for this patient at this time’) between 1-22% per month. Changes to the CDS during the pilot included removing the CDS tool from the medical assistant’s workflow to prevent them from taking action on it, and revising the options for acknowledgements based on provider feedback. Patients (n=59) were enrolled in 12 weeks of remote PA monitoring with 4 patients lost to follow-up, and 58% able to sync their Fitbit to Epic EHR using written directions. Feedback from the providers indicated they found the CDS easy to use but wanted additional information as to why patients were not reaching recommended PA (e.g., boredom). Patients wanted to add more detail about their PA in the patient portal, and spoke about needing motivation and more frequent reminders about being active. All were willing to engage in remote monitoring again. Conclusion: Implementing the electronic PA assessment, counseling, and remote monitoring is feasible in a preventive cardiology clinic. However, use of the PA screener by patients and the CDS tool by providers was low and strategies are needed to improve its uptake. Patients may also need more guidance in connecting an activity tracker to the EHR for remote monitoring.

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

The Journal of Cardiovascular Nursing · 2023-05-29 · 1 citations

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.

Associations Between DNA Methylation Age Acceleration, Depressive Symptoms, and Cardiometabolic Traits in African American Mothers From the InterGEN Study

Epigenetics Insights · 2022-01-01 · 7 citations

Background: African American women (AAW) have a high risk of both cardiometabolic (CM) illness and depressive symptoms. Depressive symptoms co-occur in individuals with CM illness at higher rates than the general population, and accelerated aging may explain this. In this secondary analysis, we examined associations between age acceleration; depressive symptoms; and CM traits (hypertension, diabetes mellitus [DM], and obesity) in a cohort of AAW. Methods: Genomic and clinical data from the InterGEN cohort (n = 227) were used. Age acceleration was based on the Horvath method of DNA methylation (DNAm) age estimation. Accordingly, DNAm age acceleration (DNAm AA) was defined as the residuals from a linear regression of DNAm age on chronological age. Spearman's correlations, linear and logistic regression examined associations between DNAm AA, depressive symptoms, and CM traits. Results: DNAm AA did not associate with total depressive symptom scores. DNAm AA correlated with specific symptoms including self-disgust/self-hate (-0.13, 95% CI -0.26, -0.01); difficulty with making decisions (-0.15, 95% CI -0.28, -0.02); and worry over physical health (0.15, 95% CI 0.02, 0.28), but were not statistically significant after multiple comparison correction. DNAm AA associated with obesity (0.08, 95% CI 1.02, 1.16), hypertension (0.08, 95% CI 1.01, 1.17), and DM (0.20, 95% CI 1.09, 1.40), after adjustment for potential confounders. Conclusions: Associations between age acceleration and depressive symptoms may be highly nuanced and dependent on study design contexts. Factors other than age acceleration may explain the connection between depressive symptoms and CM traits. AAW with CM traits may be at increased risk of accelerated aging.

Latent Profile/Class Analysis Identifying Differentiated Intervention Effects

Nursing Research · 2022 · 36 citations

• Computer Science
• Psychology
• Computer Science

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.

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

Nursing Research · 2022-12-09 · 27 citations

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.

Health coaching and genetic risk testing in primary care: Randomized controlled trial.

Health Psychology · 2022-05-19 · 5 citations

OBJECTIVE: Accessible interventions are needed to prevent coronary heart disease (CHD) and Type 2 diabetes (T2D). This prospective, randomized, controlled trial evaluated remote health coaching (HC), genetic risk testing (GRT), or both added to standardized risk assessment (SRA) in at-risk military primary care patients. METHOD: Using a 2 × 2 factorial longitudinal design, 200 Air Force at-risk participants provided primary outcomes at baseline, 3-, 6- (HC endpoint), and 12-months. Secondary measures were taken less often. Per protocol analyses used linear models and logistic regression; intent-to-treat (ITT) analyses used mixed models. RESULTS: = .0885). The HC group reported lower emotional representations of illness at 6-weeks and lower depression at 6 months. There were no other significant findings. HC and GRT interacted; higher T2D risk participants receiving HC were 4.7 times more likely to report higher stage of change for exercise at 6-months, and lost 2.2 kg more by 12-months. Lower T2D risk participants receiving HC perceived greater control over CHD risk at 6-weeks, and averaged lower 6-month depression. CONCLUSIONS: Remote HC after SRA increased physical activity, which was sustained 6-months later. Incorporating GRT into SRA warrants further exploration regarding the potential to leverage HC for weight loss in elevated T2D risk participants, and for depression in lower T2D risk participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).