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PURPOSEHigh-quality, comprehensive care of vulnerable populations requires interprofessional ambulatory care teams skilled in addressing complex social, medical, and psychological needs. Training health professionals in interprofessional settings is crucial for building a competent future workforce. The impacts on care utilization of adding continuity trainees to ambulatory teams serving vulnerable populations have not been described. We aim to understand how the addition of interprofessional trainees to an ambulatory clinic caring for Veterans experiencing homelessness impacts medical and mental health services utilization.METHODSTrainees from five professions were incorporated into an interprofessional ambulatory clinic for Veterans experiencing homelessness starting in July 2016. We performed clinic-level interrupted time series (ITS) analyses of pre- and post-intervention utilization measures among patients enrolled in this training continuity clinic, compared to three similar VA homeless clinics without training programs from October 2015 to September 2018.RESULTSOur sample consisted of 37,671 patient- months. There was no significant difference between the intervention and comparison groups’ post-intervention slopes for numbers of primary care visits (difference in slopes =−0.16 visits/100 patients/month; 95% CI −0.40, 0.08; p=0.19), emergency department visits (difference in slopes = 0.08 visits/100 patients/month; 95% CI −0.16, 0.32; p=0.50), mental health visits (difference in slopes = −1.37 visits/month; 95% CI −2.95, 0.20; p= 0.09), and psychiatric hospitalizations (−0.005 admissions/100 patients/month; 95% CI −0.02, 0.01; p= 0.62). We found a clinically insignificant change in medical hospitalizations.CONCLUSIONSAdding continuity trainees from five health professions to an interprofessional ambulatory clinic caring for Veterans experiencing homelessness did not adversely impact inpatient and outpatient care utilization. An organized team-based care approach is beneficial for vulnerable patients and provides a meaningful educational experience for interprofessional trainees by building health professionals’ capabilities to care for vulnerable populations.

Background Rheumatoid arthritis (RA) impacts quality of life causing disability and increased mortality. Treatment decisions are complex and require individualization. Shared decision making (SDM) is the first principle of RA treat-to-target guidelines, but uptake is suboptimal. We aim to evaluate the effectiveness of a multicomponent SDM intervention on RA disease activity and explore the early implementation of the intervention within three geographically diverse rheumatology services. Methods The RAiSeD trial uses a stepped-wedge, cluster-randomized trial design at three U.S. Veterans Health Administration rheumatology clinics, targeted to enroll more than 400 patients and over 45 clinicians. The multicomponent SDM intervention consists of three parts: (1) rheumatology clinician training and a pocket card on SDM and fostering choice awareness (“acknowledging when there is more than one sensible option available to address a patient’s situation”), (2) RA patient activation using the AskShareKnow questions, and (3) a point-of-care decision aid (RA Choice) and medication summary guide. We will conduct a mixed-methods outcomes and process evaluation. Outcomes will be evaluated during a pre-intervention (usual care) and intervention period. The primary outcome is disease activity as measured by the validated Clinical Disease Activity Index (CDAI), with secondary outcomes of RA knowledge and medication adherence. SDM will be measured by two brief, validated patient-reported measures. A subgroup of clinic visits will be audio-recorded and clinicians’ efforts to involve patients in SDM will be assessed. The implementation process will be evaluated using stakeholder interviews and field notes at each of the three sites. Discussion This study is the first multi-site trial of a multicomponent intervention to facilitate SDM among veterans with RA. We expect to improve uptake of SDM across geographically distinct rheumatology clinics and hypothesize that patients exposed to the interventions will have a greater decrease in disease activity and an increase in knowledge of RA medications compared to usual care. Insights gained from this study will inform broader dissemination and implementation of SDM across VA rheumatology clinics and beyond, with the goal of improving quality of care for all persons with RA. Trial registration ClinicalTrials.gov NCT05530694. Registered on September 7, 2022.

Background The Department of Veterans Affairs (VA) is the largest integrated healthcare system in the United States and serves a rapidly aging patient population. The VA’s Home-Based Primary Care (HBPC) program is a home care model for older, complex, high-risk Veterans that provides comprehensive, longitudinal primary care delivered by an interdisciplinary team of VA staff, with plans for expansion by 2027. HBPC program implementation varies considerably across local sites and contexts. Accordingly, these characteristics offer a unique opportunity to investigate real-world, cross-case heterogeneity and identify crucial factors that may lead to improved patient outcomes. Methods Patient home time in the last 180 days of life will serve as the primary outcome measure, calculated at the patient-level as the total days not in an acute care (e.g., emergency department [ED], hospital), post-acute care (e.g., skilled nursing facility), or institutional long-term care setting (e.g., nursing home) in the 180 days prior to death. Secondary outcomes include patient satisfaction and other utilization outcomes: ED visits, hospitalizations, days in long term care, care transitions, hospice use prior to death, and site of death. Multiple datasets will be combined to obtain a comprehensive view of HBPC site characteristics. This study will use an exploratory sequential mixed methods design to describe the heterogeneity in HBPC program implementation and evaluate how contextual factors and program delivery patterns influence home time and other patient outcomes. Analyses will identify difference-making configurations of contextual, operational, cultural, and care delivery factors that distinguish high- versus low-home time sites. Analytic methods include quantitative descriptive analyses, regression analyses, in-depth qualitative case studies at 10 high and 10 low home time sites, qualitative cross-case analysis, and the application of Coincidence Analysis to identify successful HBPC program configurations. Discussion Health care systems can take advantage of real-world heterogeneity in program implementation across sites that vary in context and setting to identify the key difference-makers and use these findings to inform future program expansion. By understanding which HBPC program features lead to improved outcomes for older adults in specific contexts, the VA can learn where site variation is a positive sign of adaptation versus a sign of inefficiency and an opportunity for improvement. Clinical Trial Number Not applicable.

PurposeOur study explored whether aspects of veterans’ social connectedness (social support, interpersonal conflict, loneliness, social norms, number of confidants) are associated with change in their depression symptoms and health services utilization over 1 year.MethodsWe conducted a prospective, longitudinal study of 262 military veterans who obtained primary care and other services at a Veterans Health Administration (VHA) facility and screened positive for depression. Participants completed surveys at baseline and 12-month follow-up. We measured social connectedness variables using the NIH Toolbox Adult Social Relationship Scales. We used the Patient Health Questionnaire to assess depression symptoms and suicidal ideation and administrative medical record data for health services utilization. We calculated change scores to model outcomes over time using multivariable regressions.ResultsWe found that higher levels of baseline loneliness were associated with decreased depression severity over 1 year (B = − 1.55, 95% CI [− 2.53, − .56], p < .01). We found a similar association for suicidal ideation. In contrast, higher baseline number of confidants was associated with increased depression (B = .55, 95% CI [.18, .92], p < .01). Higher levels of emotional support were associated with decreased mental health visits (B = − 3.88, 95% CI [− 6.80, − .96], p < .01). No significant associations were found between social connectedness variables and primary care visits.ConclusionsEmotional support may play an important role in reducing mental health treatment utilization among VHA-using veterans. Additional investigation as to how and why loneliness and number of confidants might be paradoxically associated with depression symptoms remains necessary.

Background Understanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strategy employed by the Department of Veterans Affairs’ (VA) COVID-19 Observational Research Collaboratory (CORC) to develop comparable cohorts of SARS-CoV-2 infected and uninfected persons for the purpose of inferring potential causative long-term adverse effects of SARS-CoV-2 infection in the Veteran population. Methods In a retrospective cohort study, we identified VA health care system patients who were and were not infected with SARS-CoV-2 on a rolling monthly basis. We generated matched cohorts within each month utilizing a combination of exact and time-varying propensity score matching based on electronic health record (EHR)-derived covariates that can be confounders or risk factors across a range of outcomes. Results From an initial pool of 126,689,864 person-months of observation, we generated final matched cohorts of 208,536 Veterans infected between March 2020-April 2021 and 3,014,091 uninfected Veterans. Matched cohorts were well-balanced on all 37 covariates used in matching after excluding patients for: no VA health care utilization; implausible age, weight, or height; living outside of the 50 states or Washington, D.C.; prior SARS-CoV-2 diagnosis per Medicare claims; or lack of a suitable match. Most Veterans in the matched cohort were male (88.3%), non-Hispanic (87.1%), white (67.2%), and living in urban areas (71.5%), with a mean age of 60.6, BMI of 31.3, Gagne comorbidity score of 1.4 and a mean of 2.3 CDC high-risk conditions. The most common diagnoses were hypertension (61.4%), diabetes (34.3%), major depression (32.2%), coronary heart disease (28.5%), PTSD (25.5%), anxiety (22.5%), and chronic kidney disease (22.5%). Conclusion This successful creation of matched SARS-CoV-2 infected and uninfected patient cohorts from the largest integrated health system in the United States will support cohort studies of outcomes derived from EHRs and sample selection for qualitative interviews and patient surveys. These studies will increase our understanding of the long-term outcomes of Veterans who were infected with SARS-CoV-2.

Study Objectives: The Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System contains individual-patient-level traumatic brain injury (TBI) data, which when combined, allows for the examination of rates and outcomes for key subpopulations at risk for developing sleep disturbance. Methods: This proof-of-concept study creates a model system for harmonizing data (i.e., combining and standardizing data) across FITBIR studies for participants with and without a history of TBI to estimate rates of sleep disturbance and identify risk factors. Results: Three studies were eligible for harmonization (N = 1753). Sleep disturbance was common among those with a history of mild TBI (63%). Individuals with mild TBI were two to four times more likely to have sleep disturbance compared to those with no history of TBI. Conclusions: This study established methods, harmonization code, and meta-databases that are publicly available on the FITBIR website. We demonstrated how the harmonization of FITBIR studies can answer TBI research questions, showing that associations between TBI and sleep disturbance may be influenced by demographic factors.

This study aimed to assess the basketball ball-drills workload analyzing: (1) the effect of varying the number of players involved on physiological and technical demands; (2) the temporal changes in players’ responses across bouts; and (3) the relationship of players’ workload with their maturation status and training age. Twelve young male basketball players (mean ± SD; age 13.9 ± 0.7 years; height 1.76 ± 0.06 m; body mass 65.7 ± 12.5 kg; HRmax 202 ± 8 beat·min−1) completed three bouts of 4 min interspersed by 2 min of passive recovery of two vs. two and four vs. four ball-drills. The mean percentage of HRmax (%HRmax) and ratings of perceived exertion (RPE) were collected. Technical actions (TAs) (dribbles, passes, shots, interceptions, steals, rebounds, and turnovers) were calculated through notational analysis. Players’ genitalia development (GD) and pubic hair (PH) growth were assessed using Tanner scale. Results showed a higher %HRmax (p = 0.018), RPE (p = 0.042), dribbles (p = 0.007), shots (p = 0.003), and rebounds (p = 0.006) in two vs. two compared to four vs. four condition. Furthermore, a statistical difference was found for %HRmax (p = 0.005) and number of passes (p = 0.020) between bouts. In addition, no correlation between GD, PH, and training age with %HRmax, RPE, and TAs was found. These findings suggest that variations of the number of players involved affect ball-drills workload and that ball-drills training intensity varies across bouts. Finally, ball-drills elicit an adequate training stimulus, regardless of players’ maturation status and training age.

Abstract Background The brain is a critical target organ for thyroid hormone, but it is unclear whether variations in thyroid function within and near the reference range affect quality of life, mood, or cognition. Methods A total of 138 subjects with levothyroxine (L-T4)-treated hypothyroidism and normal thyrotropin (TSH) levels underwent measures of quality of life (36-Item Short Form Health Survey, Underactive Thyroid-Dependent Quality of Life Questionnaire), mood (Profile of Mood States, Affective Lability Scale), and cognition (executive function, memory). They were then randomly assigned to receive an unchanged, higher, or lower L-T4 dose in double-blind fashion, targeting one of three TSH ranges (0.34 to 2.50, 2.51 to 5.60, or 5.61 to 12.0 mU/L). Doses were adjusted every 6 weeks based on TSH levels. Baseline measures were reassessed at 6 months. Results At the end of the study, by intention to treat, mean L-T4 doses were 1.50 ± 0.07, 1.32 ± 0.07, and 0.78 ± 0.08 μg/kg (P < 0.001), and mean TSH levels were 1.85 ± 0.25, 3.93 ± 0.38, and 9.49 ± 0.80 mU/L (P < 0.001), respectively, in the three arms. There were minor differences in a few outcomes between the three arms, which were no longer significant after correction for multiple comparisons. Subjects could not ascertain how their L-T4 doses had been adjusted (P = 0.55) but preferred L-T4 doses they perceived to be higher (P < 0.001). Conclusions Altering L-T4 doses in hypothyroid subjects to vary TSH levels in and near the reference range does not affect quality of life, mood, or cognition. L-T4-treated subjects prefer perceived higher L-T4 doses despite a lack of objective benefit. Adjusting L-T4 doses in hypothyroid patients based on symptoms in these areas may not result in significant clinical improvement. L-T4 doses were adjusted in hypothyroid subjects to achieve low-normal, high-normal, or mildly elevated TSH levels. No effects were seen in quality of life, mood, or cognition after 6 months.

It is unclear whether variations in thyroid status within or near the reference range affect energy expenditure, body mass, or body composition. 138 subjects treated with levothyroxine (LT4) for hypothyroidism with normal TSH levels underwent measurement of total, resting, and physical activity energy expenditure; thermic effect of food; substrate oxidation; dietary intake; and body composition. They were assigned to receive an unchanged, higher, or lower LT4 dose in randomized, double-blind fashion, targeting one of three TSH ranges (0.34 to 2.50, 2.51 to 5.60, or 5.61 to 12.0 mU/L). The doses were adjusted every 6 weeks to achieve target TSH levels. Baseline measures were reassessed at 6 months. At study end, the mean LT4 doses and TSH levels were 1.50 ± 0.07, 1.32 ± 0.07, and 0.78 ± 0.08 µg/kg (P < 0.001) and 1.85 ± 0.25, 3.93 ± 0.38, and 9.49 ± 0.80 mU/L (P < 0.001), respectively, in the three arms. No substantial metabolic differences in outcome were found among the three arms, although direct correlations were observed between decreases in thyroid status and decreases in resting energy expenditure for all subjects. The subjects could not ascertain how their LT4 dose had been adjusted but the preferred LT4 dose they perceived to be higher (P < 0.001). Altering LT4 doses in subjects with hypothyroidism to vary TSH levels in and near the reference range did not have major effects on energy expenditure or body composition. Subjects treated with LT4 preferred the perceived higher LT4 doses despite a lack of objective effect. Our data do not support adjusting LT4 doses in patients with hypothyroidism to achieve potential improvements in weight or body composition.