Faculty Bibliography

BACKGROUND:There are limited studies on telehealth use patterns among patients with prostate cancer. OBJECTIVE:We assessed the patterns of delivery of care for prostate cancer management in the Veterans Health Administration (VHA). DESIGN/METHODS:A retrospective observational cohort study from January 2016 to February 2023. PARTICIPANTS/METHODS:Data were from the VHA's Corporate Data Warehouse (CDW). Veterans with a new diagnosis of prostate cancer were included in the study. Those who died within 1 year of diagnosis, had missing staging information, or had no prostate-specific antigen (PSA), biopsy, or treatment recorded within 2 years of initial diagnosis were excluded. MAIN MEASURES/METHODS:Veterans were categorized into watchful waiting, active surveillance, and active treatment management groups based on subsequent care received and categorized into National Comprehensive Cancer Network (NCCN) risk categories. We categorized outpatient urology or oncology visits as telephone-based, video-based, or in-person using administrative stop codes. We used logistic regression models to evaluate the characteristics associated with at least one video/virtual visit. KEY RESULTS/RESULTS:In total, 60,381 Veterans were included in the study (20.3% low risk, 49.8% intermediate risk, and 29.8% high risk). Even during the COVID-19 pandemic, less than 6% and 9% of Veterans had at least one urology or oncology video visit, respectively, in the first year after diagnosis across all management groups. In the regression model, Veterans aged 60 and older were less likely to have video visits for both urology and oncology. In contrast, living in urban areas, being diagnosed during the COVID-19 pandemic, and being in the intermediate NCCN risk group were associated with higher odds of having at least one video visit in both specialties. CONCLUSIONS:Despite improvements in telehealth use among Veterans with prostate cancer, telehealth utilization, particularly video visits, remains low, warranting attention from leadership and policymakers.

IMPORTANCE:Employing peer coaches to provide weight management counseling in primary care could address patient- and clinician-level barriers to obesity care, improve outcomes, and boost engagement in weight management programs. OBJECTIVE:To evaluate the efficacy of peer coaching to deliver a low- to moderate-intensity intervention for weight management compared with enhanced usual care (EUC). DESIGN, SETTING, AND PARTICIPANTS:This 2-arm, cluster randomized clinical trial was conducted from November 2017 to August 2021 at a single US Department of Veteran Affairs (VA) site. Primary care physicians (PCPs) and their patients with a body mass index (calculated as weight in kilograms divided by height in meters squared) of at least 25 (overweight) or 30 or more (obesity) were invited to participate. Enrollment was stopped early due to the COVID-19 pandemic, when weight management services at the VA site transitioned to primarily virtual care. PCPs were randomized to either the peer coaching (ie, Peer-Assisted Lifestyle) intervention or EUC arm, and their patients received the corresponding treatment for those arms. Data were analyzed according to the intention-to-treat principle from February 2023 and July 2024. INTERVENTIONS:Patients in the peer coaching arm completed a tablet-based, goal-setting tool and received 1 in-person and up to 12 individual peer-coaching telephone sessions over 1 year. Peer coaches were veterans with a bachelor's degree and training for a minimum of 20 hours. Patients in the EUC control arm received health education materials. MAIN OUTCOMES AND MEASURES:The primary outcome was mean (SE) change in weight (in kilograms) at 12 months. Secondary outcomes included mean (SE) weight change in percentage, proportion of patients achieving 5% or higher weight loss, and change in waist circumference in inches. RESULTS:A total of 20 PCPs (11 women [55.0%]) and 281 patients were enrolled. Patients had a mean (SD) age of 50.6 (11.5) years and included 221 men (78.6%). The mean (SD) body mass index at baseline was 33.4 (5.1). At 12 months, the adjusted mean (SE) weight change was -2.51 (0.73) kg in the peer coaching arm and -0.79 (0.48) kg in the EUC arm, but the difference was not statistically signficant (difference, -1.72 [0.88] kg; P = .05). At 6 months, the adjusted mean (SE) proportion of patients who lost at least 5% of body weight was 16.68% (0.47%) in the peer coaching arm vs 5.50% (0.32%) in the EUC arm (difference, 11.18 [5.22] percentage points; P = .03). At 6 months, the adjusted mean (SE) proportion of patients who attended a weight management program was 28.68% (5.37%) in the peer coaching arm and 13.32% (3.38%) in the EUC arm (difference, 15.37 [6.45] percentage points; P = .02). CONCLUSIONS AND RELEVANCE:In this randomized clinical trial, a low- to moderate-intensity peer-coaching intervention did not result in greater weight loss at 12 months, but it improved attendance at weight management programs. TRIAL REGISTRATION:ClinicalTrials.gov Identifier: NCT03163264.

PurposeTo evaluate the association between demographic characteristics and weight-loss in response to financial incentives designed using behavioral economics.DesignRetrospective analysis of randomized clinical trial (RCT).SettingFIReWoRk RCT (NCT03157713), which found that financial incentives were more effective than provision of weight-management resources only for weight-loss.Subjects668 adults with obesity (221 in resources-only group, 447 in incentive groups) living in low-income neighborhoods.MeasuresDemographic characteristics and weight-loss.AnalysisLinear mixed-effects models with interaction terms to examine effect of incentives on weight-loss in different demographic groups.ResultsMean age of participants was 47.69 years, 81.0% were women, 72.6% were Hispanic, and mean BMI was 37.95 kg/m². Financial incentives increased percent weight loss at 6 months (difference in percent weight loss between financial incentive and resources-only group = -2.41%; 95% CI -3.23% to -1.58%). In fully adjusted models, participants who were Black lost less weight than participants who were White (difference in percent weight loss = 2.12%; 95% CI 0.25% to 3.99%). Differences in percent weight loss by sex, age, education and neighborhood income were absent. Models that tested for interactions between group assignment and percent weight loss did not demonstrate evidence of a heterogenous effect of incentives in sociodemographic subgroups.ConclusionBlack participants in the FIReWoRk intervention lost less weight than White participants, but effectiveness of financial incentives generally did not vary significantly by sociodemographic characteristics. However, it remains important to evaluate potential impacts of financial incentive programs on health disparities.

BACKGROUND:Public health threats (PHTs) influence how and in what ways managers communicate with employees. Employee resources and information during uncertain times has been noted as a reoccurring gap, especially as it relates to personal protective equipment (PPE). This study explored general and PPE-specific communication practices with 22 healthcare and emergency medical service (EMS) managers to support workers, particularly in the context of preparedness and response. METHODS:Data collection occurred in two phases that involved interviews and small group discussions to identify, examine, and better frame and execute communication practices. Qualitative analysis was informed by the 4i FACT framework and the social ecological model (SEM) to identify relevant communication practices and intervention points within health delivery settings. RESULTS:Results elucidated perceived, effective leadership practices and interpersonal influences in the workplace. Tangible leadership communication practices were identified as important intervention points within the SEM, with a focus on proactive behaviors to procure necessary PPE and disseminate information. Participants emphasized one-on-one interactions with employees, and the use of trusted messengers to share health-related messages. They also highlighted the challenges of PPE shortages and the importance of access to resources across different job roles, organizations, and work settings. CONCLUSIONS/APPLICATION TO PRACTICE/CONCLUSIONS:This study contributes insights into communication practices during a public health emergency, offering a nuanced understanding of managerial approaches, PPE-related communication, and the broader contextual factors influencing information dissemination. Further, the integration of frameworks like 4i FACT and SEM provides a structured perspective for future communication strategies, supporting tailored approaches across organizations.

OBJECTIVE:This study examined associations between access to leisure-time physical activity (LTPA) facilities and parks and repeated measures of glycated hemoglobin (A1C) over time, using follow-up tests among United States Veterans with newly diagnosed type-2 diabetes (T2D). METHODS:Data were analyzed from 274,463 patients in the Veterans Administration Diabetes Risk cohort who were newly diagnosed with T2D between 2008 and 2018 and followed through 2023. Generalized estimating equations with a logit link function and binomial logistic regression were used to examine associations. RESULTS:Patients were on average 60.5 years of age, predominantly male (95.0 %) and white (66.9 %), and had an average of 11.7 A1C tests during the study follow-up period. In high- and low-density urban communities, a one-unit higher LTPA facility density score was associated with 1 % and 3 % greater likelihood of in-range A1C tests during follow-up, respectively, but no association was observed among patients living in suburban/small town and rural communities. Across community types, closer park distance was not associated with subsequent greater odds of in-range A1C tests. Unexpectedly, in low-density urban areas, the likelihood of in-range A1C tests was 1 % lower at farther park distances. CONCLUSIONS:These results suggest that broader access to LTPA facilities, but not park proximity, may contribute in small ways to maintaining glycemic control after T2D diagnosis in urban communities. Tailored interventions may be needed to promote patients' effective use of LTPA facilities and parks.

BACKGROUND:This study aimed to explore whether patients' perception of procedural fairness in physicians' communication was associated with willingness to follow doctor's recommendations, self-efficacy beliefs, dietary behaviors, and body mass index. METHODS:(43.6% Black, 40.7% Hispanic/Latino, 55.8% female, mean age = 50 years), who enrolled in a weight management study in two New York City healthcare institutions. We conducted ordinary least squares path analyses with bootstrapping to explore direct and indirect associations among procedural fairness, willingness to follow recommendations, self-efficacy, dietary behaviors, and body mass index, while controlling for age and gender. RESULTS:Serial, multiple mediator models indicated that higher procedural fairness was associated with an increased willingness to follow recommendations which, in turn, was associated with healthier dietary behaviors and a lower BMI (indirect effect =  - .02, SE = .01; 95% CI [- .04 to - .01]). Additionally, higher procedural fairness was associated with elevated dietary self-efficacy, which was, in turn, was associated with healthier dietary behaviors and lower BMI (indirect effect =  - .01, SE = .003; 95% CI [- .02 to - .002]). CONCLUSIONS:These findings highlight the importance of incorporating procedural fairness in physician-patient communication concerning weight management in diverse primary care patients.

PURPOSE/OBJECTIVE:We undertook a trial to test the efficacy of a technology-assisted health coaching intervention for weight management, called Goals for Eating and Moving (GEM), within primary care. METHODS:). The primary outcome (weight change at 12 months) and exploratory outcomes (eg, program attendance, diet, physical activity) were analyzed according to intention to treat. RESULTS:= .48). There were no statistically significant differences in secondary outcomes. Exploratory analyses showed that the GEM arm had a greater change than the EUC arm in mean number of weekly minutes of moderate to vigorous physical activity other than walking, a finding that may warrant further exploration. CONCLUSIONS:The GEM intervention did not achieve clinically important weight loss in primary care. Although this was a negative study possibly affected by health system resource limitations and disruptions, its findings can guide the development of similar interventions. Future studies could explore the efficacy of higher-intensity interventions and interventions that include medication and bariatric surgery options, in addition to lifestyle modification.

OBJECTIVE/UNASSIGNED:The objective of this study is to determine whether a sleep and health improvement programme (SHIP) to promote healthy sleep, eating and physical activity would be feasible, acceptable and have a positive impact on lifestyle behaviours for prostate cancer survivors and caregivers. METHODS/UNASSIGNED:We recruited 50 participants for a single group 3-month pre-post pilot study. The SHIP intervention included (1) website about sleep, nutrition and physical activity (≥1 view/week), (2) two email newsletters with goal-setting exercises and resources and (3) midpoint health coach call. The primary outcome was changes in validated sleep scales; secondary outcomes included changes in diet, physical activity and concentration from baseline to 3 months. RESULTS/UNASSIGNED: = 0.07). There were no statistically significant improvements in sleep quality or physical activity, but there were improvements in healthy eating (e.g., increase in cruciferous vegetables and reduction in dairy) and in fatigue-related problems and concentration. Exit interview feedback was positive. CONCLUSIONS/UNASSIGNED:A web-based sleep and healthy lifestyle programme for patients with prostate cancer and their caregivers is feasible and acceptable. A randomized controlled trial is planned to test whether a refined SHIP improves sleep and lifestyle in patients with prostate cancer and caregivers.

OBJECTIVE:Self-efficacy for leisure-time or health-promoting physical activity (SEPA) is a psychosocial determinant of physical activity. The socioecological model can provide a robust perspective of SEPA. The objective of this study was to synthesize the evidence on multilevel correlates of SEPA among individuals with chronic musculoskeletal pain. The second aim examined the extent to which socioecological disparities are associated with SEPA among individuals with chronic musculoskeletal pain. METHODS:An integrative review was conducted. Included studies needed to investigate the relationship between SEPA and socioecological factors at the interpersonal, institutional, community, and/or macrosystem level among adults with chronic musculoskeletal pain (≥3 months). Searches in PubMed, EMBASE, PsycINFO, and CINAHL were performed (December 30, 2020, and October 12, 2022), yielding 4047 records after duplicates were removed. Two independent reviewers completed screening, full-text reviews, and data extraction. After title/abstract screening and full-text reviews, 17 studies were included. The constant comparison method included: data reduction, data display, data comparison, and conclusion drawing/verification. Quality of evidence was assessed using the Joanna Briggs Institute appraisal tools. RESULTS:Five themes emerged with respect to relationships between SEPA and socioecological factors: social relations, social comparisons, patient-provider relationship, organizational resources, and accessibility to physical activity. Relationships between interpersonal factors and SEPA were most prominently studied. One study examined and addressed potential disparities in SEPA at the macrosystem level. CONCLUSION/CONCLUSIONS:A spectrum of relationships from supporting to straining SEPA were found at the interpersonal level. Relationships between institutional, community, and macrosystem factors and SEPA were comparably sparse. Gaps in the literature were identified regarding how health disparities present across the socioecological model with respect to SEPA. IMPACT/CONCLUSIONS:Clinicians can use this review to evaluate how SEPA can be supported or threatened by factors across the socioecological model. This may be a preliminary step towards examining and addressing health disparities in SEPA.

PURPOSE/OBJECTIVE:Examine associations between whether participants' were matched to their preferred financial incentive design and behavioral goal adherence in a weight management intervention. DESIGN/METHODS:Secondary quantitative analysis incorporating qualitative survey data. SETTING/METHODS:Primary care clinics in socioeconomically disadvantaged communities in New York City and Los Angeles. SUBJECTS/METHODS:668 participants (mean age 47.7 years, 81.0% female, 72.6% Hispanic) with obesity were enrolled in the Financial Incentives foR Weight Reduction (FIReWoRk) intervention. MEASURES/METHODS:We explored qualitatively participant's reasons for hypothetically choosing a behavioral goal-directed vs a weight loss outcome-based financial incentive program. Additionally, behavioral adherence to different goals was collected at the 6-month timepoint, categorized by match to preferred financial incentive design. ANALYSIS/METHODS:Logistic regression was used to examine if participants with certain demographic and higher psychosocial factors were more likely to choose goal-directed over outcome-based incentives. Additionally, logistic regression was used to test for associations between preference and behavioral adherence, using incentive type as an interaction term. RESULTS:= .025). Moderation analysis revealed that participants who preferred goal-directed and were matched to goal-directed had greater rates of behavioral adherence for program attendance and self-weighing, but not dietary tracking and physical activity tracking, compared to those who preferred outcome-based and were matched to outcome-based. CONCLUSION/CONCLUSIONS:Receiving one's preferred incentive design may not play a strong role in behavioral goal adherence during financially incentivized weight loss interventions.