Faculty Bibliography

BACKGROUND/UNASSIGNED:This study aimed to quantify the association between childhood family environment and longitudinal cardiovascular health (CVH) in adult CARDIA (Coronary Artery Risk Development in Young Adults) Study participants. We further investigated whether the association differs by adult income. METHODS/UNASSIGNED:We applied the CVH framework from the American Heart Association including metrics for smoking, cholesterol, blood pressure, glucose, body mass index, physical activity, and diet. CVH scores (range, 0-14) were calculated at years 0, 7, and 20 of the study. Risky Family environment (range, 7-28) was assessed at year 15 retrospectively, for childhood experiences of abuse, caregiver warmth, and family or household challenges. Complete case ordinal logistic regression and mixed models associated risky family (exposure) with CVH (outcome), adjusting for age, sex, race, and alcohol use. RESULTS/UNASSIGNED:The sample (n=2074) had a mean age of 25.3 (±3.5) years and 56% females at baseline. The median risky family was 10 with ideal CVH (≥12) met by 288 individuals at baseline (28.4%) and 165 (16.3%) at year 20. Longitudinally, for every 1-unit greater risky family, the odds of attaining high CVH (≥10) decreased by 3.6% (OR, 0.9645 [95% CI, 0.94-0.98]). Each unit greater child abuse and caregiver warmth score corresponded to 12.8% lower and 11.7% higher odds of ideal CVH (≥10), respectively (OR, 0.872 [95% CI, 0.77-0.99]; OR, 1.1165 [95% CI, 1.01-1.24]), across all 20 years of follow-up. Stratified analyses by income in adulthood demonstrated associations between risky family environment and CVH remained significant for those of the highest adult income (>$74k), but not the lowest (<$35k). CONCLUSIONS/UNASSIGNED:Although risky family environmental factors in childhood increase the odds of poor longitudinal adult CVH, caregiver warmth may increase the odds of CVH, and socioeconomic attainment in adulthood may contextualize the level of risk. Toward a paradigm of primordial prevention of cardiovascular disease, childhood exposures and economic opportunity may play a crucial role in CVH across the life course.

BACKGROUND/UNASSIGNED:Ecological momentary assessment (EMA) is an increasingly used tool for data collection in behavioral research, including smoking cessation studies. As previous addiction research suggests, EMA has the potential to elicit cue reactivity by triggering craving and increasing behavioral awareness. However, there has been limited evaluation of its potential influence on behavior. OBJECTIVE/UNASSIGNED:By examining the perspectives of research participants enrolled in a tobacco treatment intervention trial, this qualitative analysis aims to understand the potential impact that EMA use may have had on smoking behaviors that may not have otherwise been captured through other study measures. METHODS/UNASSIGNED:We performed a qualitative analysis of in-depth interviews with participants enrolled in a pilot randomized controlled trial of a tobacco treatment intervention that used SMS text messaging to collect EMA data on smoking behaviors. In the pilot randomized controlled trial, combustible cigarette and e-cigarette use and smoking-related cravings were measured as part of an EMA protocol, in which SMS text messaging served as a smoking diary. SMS text messaging was intended for data collection only and not designed to serve as part of the intervention. After a baseline assessment, participants were asked to record daily nicotine use for 12 weeks by responding to text message prompts that they received 4 times per day. Participants were prompted to share their experiences with the EMA text messaging component of the trial but were not directly asked about the influence of EMA on their behaviors. Transcripts were coded according to the principles of the framework for applied research. The codes were then examined, summarized, and grouped into themes based on the principles of grounded theory. RESULTS/UNASSIGNED:Interviews were analyzed for 26 participants. The themes developed from the analysis suggested the potential for EMA, in the form of an SMS text messaging smoking diary, to influence participants' smoking behaviors. The perceived impacts of EMA text messaging on smoking behaviors were polarized; some participants emphasized the positive impacts of text messages on their efforts to reduce smoking, while others stressed the ways that text messaging negatively impacted their smoking reduction efforts. These contrasting experiences were captured by themes reflecting the positive impacts on smoking behaviors, including increased awareness of smoking behaviors and a sense of accountability, and the negative impacts on emotions and smoking behaviors, including provoking a sense of guilt and triggering smoking behaviors. CONCLUSIONS/UNASSIGNED:The collection of EMA smoking behavior data via SMS text messaging may influence the behaviors and perceptions of participants in tobacco treatment interventions. More research is needed to determine the magnitude of impact and mechanisms, to account for the potential effects of EMA. A broader discussion of the unintended effects introduced by EMA use is warranted among the research community.

IMPORTANCE:Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. OBJECTIVES:To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). DESIGN, SETTING, AND PARTICIPANTS:Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. MAIN OUTCOMES AND MEASURES:We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). EXPOSURES:Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost). RESULTS:Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. CONCLUSION AND RELEVANCE:A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.

PURPOSE/OBJECTIVE:This study explores coaching during transition from medical school to residency through the perspectives of residents and faculty coaches participating in a coaching program from residency match through the first year of residency. METHOD/METHODS:From January to September 2020, 15 faculty coaches in internal medicine, obstetrics and gynecology, emergency medicine, orthopedics, and pathology participated in a synchronous, in-person coaching training course. All 94 postgraduate year 1 residents in these 5 training programs participated. Between November 2021 and March 2022, focus groups were held with interns from all residency programs participating in the program. Interviews were conducted with faculty coaches in February 2022. Faculty and residents discussed their experiences with and perceptions of coaching. De-identified transcripts were coded, and researchers organized these codes into broader categories, generated cross-cutting themes from the concepts described in both cohorts, and proposed a model for the potential of coaching to support the transition to residency. Descriptive themes were constructed and analytic themes developed by identifying concepts that crossed the data sets. RESULTS:Seven focus groups were held with 39 residents (42%). Residents discussed the goals of a coaching program, coach attributes, program factors, resident attributes, and the role of the coach. Coaches focused on productivity of coaching, coaching skills and approach, professional development, and scaffolding the coaching experience. Three analytic themes were created: (1) coaching as creating an explicit curriculum for growth through the transition to residency, (2) factors contributing to successful coaching, and (3) ways in which these factors confront graduate medical education norms. CONCLUSIONS:Learner and faculty perspectives on coaching through the transition to residency reveal the potential for coaching to make an explicit and modifiable curriculum for professional growth and development. Creating structures for coaching in graduate medical education may allow for individualized professional development, improved mindset, self-awareness, and self-directed learning.

Virtual care, including synchronous and asynchronous telehealth, remote patient monitoring, and the collection and interpretation of patient-generated health data (PGHD), has the potential to transform healthcare delivery and increase access to care. The Veterans Health Administration (VHA) Office of Health Services Research and Development (HSR&D) convened a State-of-the-Art (SOTA) Conference on Virtual Care to identify future virtual care research priorities. Participants were divided into three workgroups focused on virtual care access, engagement, and outcomes. In this article, we report the findings of the Outcomes Workgroup. The group identified virtual care outcome areas with sufficient evidence, areas in need of additional research, and areas that are particularly well-suited to be studied within VHA. Following a rigorous process of literature review and consensus, the group focused on four questions: (1) What outcomes of virtual care should we be measuring and how should we measure them?; (2) how do we choose the "right" care modality for the "right" patient?; (3) what are potential consequences of virtual care on patient safety?; and (4) how can PGHD be used to benefit provider decision-making and patient self-management?. The current article outlines key conclusions that emerged following discussion of these questions, including recommendations for future research.