Family Medicine

OBJECTIVES: To define meropenem plasma concentrations and pharmacodynamic exposure metrics in children with septic shock during the first 3 days of PICU hospitalization. DESIGN: Pharmacokinetic sampling was undertaken in 19 subjects receiving standard meropenem dosing (20 mg/kg/dose, 8 hr) recruited from March 2019 to March 2022. Sampling occurred once each day following meropenem given 24 hours apart, during the first 3 PICU days. Data analysis was completed in 2023 and noncompartmental analysis was performed to assess pharmacodynamic exposure targets for sepsis. Clearance and volume of distribution at 20 mg/kg/dose were used to simulate mean exposures at 40 and 60 mg/kg/dose. SETTING: PICU in a tertiary care center. SUBJECTS: Patients 4 weeks old or older with hypotension requiring fluid resuscitation and vasopressor therapy, receiving meropenem as empiric therapy for sepsis. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Augmented renal clearance (ARC) was documented in eight of 19 subjects, previously associated with subtherapeutic plasma concentrations, while three of 19 had acute kidney injury and decreased renal clearance. When assessed by pharmacodynamic exposure targets for sepsis (plasma meropenem concentrations above the minimum inhibitory concentration [MIC] of Pseudomonas aeruginosa for 70% or 100% of the dosing interval), ten of 19 and nine of 19 children, respectively, had subtherapeutic plasma meropenem exposures during PICU day 1, even for pathogens with an MIC considered susceptible by U.S. Food and Drug Administration criteria. Therapeutic meropenem pharmacodynamic exposures were associated with a positive 24-hour fluid balance on PICU day 1 and a negative 24-hour fluid balance by day 3, although profound variability was noted in fluid administered and renal output. CONCLUSIONS: Given the variability in meropenem systemic exposure in pediatric septic shock, therapeutic drug monitoring, or monitoring for ARC, is suggested during the first days of hospitalization to allow daily assessments of dosing needs to achieve pharmacodynamic exposure targets for sepsis.

Abstract: Although most fractures, and about half of hip fractures, occur outdoors among older women, limited research has uncovered neighborhood predictors for fractures among older women. This study assessed the independent associations of neighborhood socioeconomic status, walkability, and green space with incident any and hip fracture among postmenopausal women. The Women’s Health Initiative recruited a national sample of postmenopausal women (50-79 years) across 40 U.S. clinical centers and conducted yearly assessments from 1993 to 2012 (n = 161 808). Women reporting a history of hip fracture or walking limitations were excluded from the analytic sample, yielding a final sample of 157 583 participants. Fracture events were self-reported and adjudicated annually. Walkability was calculated annually using measures of population density, land use mix, and presence/quantity of nearby high-traffic roadways. Neighborhood green space was calculated annually using measures of exposure to trees/vegetation. Neighborhood SES, walkability, and green space were categorized intro tertiles: high, intermediate, and low. The time-varying relationship between neighborhood environmental factors and age at first fracture (any; hip) was examined using extended Cox proportional hazards modeling with adjustment. Neighborhood socioeconomic status (intermediate vs low: hazard ratio = 1.03, 95% Confidence Interval (CI): 1.01-1.05; high vs low, hazard ratio = 1.01, 95% CI: 0.99-1.03) and green space (intermediate vs low, hazard ratio = 1.15, 95% CI: 1.12-1.18; high vs low hazard ratio = 1.18, 95% CI: 1.15-1.21) were associated with increased any incident fractures, while walkability had a mixed association (intermediate vs low hazard ratio = 1.06, 95% CI: 1.04-1.07; high vs low, hazard ratio = 0.97, 95% CI: 0.95-0.98). Neighborhood socioeconomic status, walkability, and green space did not have a relationship with hip fracture after adjustment for important covariates. Results indicate that macroscale neighborhood features did not protect against fractures. Additional research is needed to investigate more granual neighborhood features that might influence injury risk and support physical activity among postmenopausal women.

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INTRODUCTION: Addressing physician burnout is critical for healthcare systems. As electronic health record (EHR) workload and teamwork have been identified as major contributing factors to physician well-being, we aimed to mitigate burnout through EHR-based interventions and a compassion team practice (CTP), targeting EHR workload and team cohesion. METHODS: A modified stepped wedge-clustered randomized trial was conducted, involving specialties with heavy InBasket workloads. EHR interventions included quick-action shortcuts and recommended practice for secure chats. The CTP comprised 30-s practice between physicians and their dyad partners. Survey and EHR data were collected over four assessment periods. Linear and generalized mixed-effects models assessed intervention effects, accounting for covariates. RESULTS: Forty-four physicians participated (20% participation rate). While burnout prevalence decreased from 58.5% at baseline to 50.0% at the end of the study, burnout reduction was not statistically significant after EHR (OR 0.43, 95% CI 0.12 to 1.61, p = 0.21) or EHR + CTP (OR 0.60, 95% CI 0.17 to 2.10, p = 0.42) interventions. Statistically significant greater perceived ease of EHR work resulted from both the EHR intervention (coefficient 0.76, 95% CI 0.22 to 1.29, p = 0.01) and EHR + CTP intervention (coefficient 0.80, 95% CI 0.26 to 1.35, p < 0.01). EHR + CTP increased perceived workplace supportiveness (coefficient 0.61, 95% CI -0.04 to 1.26, p = 0.07). Total number of InBasket messages/week increased significantly after EHR interventions (coefficient = 27.4, 95% CI 6.69 to 48.1, p = 0.011) and increased after EHR + CTP (18.5, 95% CI -3.15 to 40.2, p = 0.097). CONCLUSION: While burnout reduction was not statistically significant, EHR interventions positively impacted workload perceptions. CTP showed potential for improving perceived workplace supportiveness. Further research is needed to explore the efficacy of CTP with more participants. The interventions gained interest beyond our institution and prompted consideration for broader implementation.

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of death for women in the United States, with veterans being at potentially higher risk than their nonveteran counterparts due to accelerated aging and distinct biopsychosocial mechanisms. We examined pathways between selected indicators of socioeconomic status (SES) such as education, occupation, household income, and neighborhood SES and major CVD events through lifestyle and health characteristics among veteran and nonveteran postmenopausal women. METHODS AND RESULTS: A total of 121 286 study-eligible WHI (Womens Health Initiative) participants (3091 veterans and 118 195 nonveterans) were prospectively followed for an average of 17 years, during which 16 108 major CVD events were documented. Using generalized structural equations modeling coupled with survival analysis techniques, we estimated the effects of SES on major CVD events through smoking, body mass index, comorbidities, cardiometabolic risk factors, and self-rated health, controlling for WHI component, region, age, race, ethnicity, marital status, and health care provider access. Among veterans, SES characteristics were indirectly related to major CVD events through body mass index, comorbidities, cardiometabolic risk factors, and self-rated health. Among nonveterans, lower education (β= 0.2, P<0.0001), household income (β=+0.4, P<0.0001), and neighborhood SES (β=+0.2, P<0.0001) were positively related to major CVD events, and these relationships were partly mediated by body mass index, comorbidities, cardiometabolic risk factors, and self-rated health. Smoking played a mediating role only among nonveterans. CONCLUSIONS: Nonveteran postmenopausal women exhibit more complex pathways between SES and major CVD events than their veteran counterparts, informing the design, conduct, and evaluation of preventive strategies targeting CVD by veteran status.

BACKGROUND: Over the past several decades, the overweight and obesity epidemic in the USA has resulted in a significant health and economic burden. Understanding current trends and future trajectories at both national and state levels is crucial for assessing the success of existing interventions and informing future health policy changes. We estimated the prevalence of overweight and obesity from 1990 to 2021 with forecasts to 2050 for children and adolescents (aged 5-24 years) and adults (aged ≥25 years) at the national level. Additionally, we derived state-specific estimates and projections for older adolescents (aged 15-24 years) and adults for all 50 states and Washington, DC. METHODS: In this analysis, self-reported and measured anthropometric data were extracted from 134 unique sources, which included all major national surveillance survey data. Adjustments were made to correct for self-reporting bias. For individuals older than 18 years, overweight was defined as having a BMI of 25 kg/m2 to less than 30 kg/m2 and obesity was defined as a BMI of 30 kg/m2 or higher, and for individuals younger than 18 years definitions were based on International Obesity Task Force criteria. Historical trends of overweight and obesity prevalence from 1990 to 2021 were estimated using spatiotemporal Gaussian process regression models. A generalised ensemble modelling approach was then used to derive projected estimates up to 2050, assuming continuation of past trends and patterns. All estimates were calculated by age and sex at the national level, with estimates for older adolescents (aged 15-24 years) and adults aged (≥25 years) also calculated for 50 states and Washington, DC. 95% uncertainty intervals (UIs) were derived from the 2·5th and 97·5th percentiles of the posterior distributions of the respective estimates. FINDINGS: In 2021, an estimated 15·1 million (95% UI 13·5-16·8) children and young adolescents (aged 5-14 years), 21·4 million (20·2-22·6) older adolescents (aged 15-24 years), and 172 million (169-174) adults (aged ≥25 years) had overweight or obesity in the USA. Texas had the highest age-standardised prevalence of overweight or obesity for male adolescents (aged 15-24 years), at 52·4% (47·4-57·6), whereas Mississippi had the highest for female adolescents (aged 15-24 years), at 63·0% (57·0-68·5). Among adults, the prevalence of overweight or obesity was highest in North Dakota for males, estimated at 80·6% (78·5-82·6), and in Mississippi for females at 79·9% (77·8-81·8). The prevalence of obesity has outpaced the increase in overweight over time, especially among adolescents. Between 1990 and 2021, the percentage change in the age-standardised prevalence of obesity increased by 158·4% (123·9-197·4) among male adolescents and 185·9% (139·4-237·1) among female adolescents (15-24 years). For adults, the percentage change in prevalence of obesity was 123·6% (112·4-136·4) in males and 99·9% (88·8-111·1) in females. Forecast results suggest that if past trends and patterns continue, an additional 3·33 million children and young adolescents (aged 5-14 years), 3·41 million older adolescents (aged 15-24 years), and 41·4 million adults (aged ≥25 years) will have overweight or obesity by 2050. By 2050, the total number of children and adolescents with overweight and obesity will reach 43·1 million (37·2-47·4) and the total number of adults with overweight and obesity will reach 213 million (202-221). In 2050, in most states, a projected one in three adolescents (aged 15-24 years) and two in three adults (≥25 years) will have obesity. Although southern states, such as Oklahoma, Mississippi, Alabama, Arkansas, West Virginia, and Kentucky, are forecast to continue to have a high prevalence of obesity, the highest percentage changes from 2021 are projected in states such as Utah for adolescents and Colorado for adults. INTERPRETATION: Existing policies have failed to address overweight and obesity. Without major reform, the forecasted trends will be devastating at the individual and population level, and the associated disease burden and economic costs will continue to escalate. Stronger governance is needed to support and implement a multifaceted whole-system approach to disrupt the structural drivers of overweight and obesity at both national and local levels. Although clinical innovations should be leveraged to treat and manage existing obesity equitably, population-level prevention remains central to any intervention strategies, particularly for children and adolescents. FUNDING: Bill & Melinda Gates Foundation.

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Although resilience has been identified as an important mediator of negative mental health outcomes among refugee populations, there are few culturally specific measures of resilience among such communities and no such measure among Somalis. In this study we aimed to develop a culturally appropriate measure of resilience specific to Somali adults in San Diego, as an example of a vulnerable refugee community. A community-based, exploratory sequential mixed method investigation was conducted via focus group discussions (n = 4), cognitive interviews (n = 4), and iterative survey adaptation. Somali refugee adults in San Diego (N = 183) were surveyed with this novel scale, a standardized measure of resilience, and assessments of depression, anxiety, and PTSD. Results were analyzed via correlation coefficients and multivariate linear regression modeling. Qualitative findings supported the inclusion of items addressing both barriers and facilitators of good mental health, which resulted in the development of the Somali Distress and Resilience Survey (SDRS). Linear regression analysis revealed that the SDRS demonstrated significant associations with symptoms of depression and PTSD, while the standardized measure of resilience did not demonstrate associations with any of the mental health outcomes assessed. The SDRS identified obstacles to resilience among Somali individuals, placing them at risk of developing negative mental health outcomes. Our novel measure also demonstrated more robust relationships with these outcomes than a standardized measure of resilience, suggesting greater utility of the adapted scale. However, the SDRSs development raises larger questions about the limitations of developing and comprehensively evaluating novel resilience measures in a community-based setting.

BACKGROUND: While structured compassion training programs have shown promise for increasing compassion among medical trainees, a major challenge is applying the concepts and practices taught during the program into the complex, dynamic, time-pressured, and often hectic hospital workplace. OBJECTIVE: The purpose of this pilot study was to examine the feasibility, acceptability, and preliminary effects of Compassion Coach, a mobile health (mHealth) smartphone app designed to bolster a 6-week mindfulness and self-compassion training program for medical trainees. METHODS: In Compassion Coach, notifications to remind, encourage, and measure the perceived impact of informal mindfulness and compassion practices taught during the program were delivered at 7 AM, 12 PM, and 7 PM, respectively, 3 times per week over the course of the training program. The app also contained a library of guided audio formal mindfulness and compassion practices to allow quick and easy access. In this pilot study, we collected data from 29 medical students and residents who downloaded Compassion Coach and completed surveys assessing perceived effectiveness and acceptability. Engagement with the Compassion Coach app was passively tracked through notification response rate and library resource access over time. RESULTS: The average response rate to notifications was 58% (SD 29%; range 12%-98%), with a significant decline over time (P=.009; odds ratio 0.98, 95% CI 0.96-0.99). Across all participants and occasions, the majority agreed the informal practices prompted by Compassion Coach helped them feel grounded and centered (110/150, 73%), improved compassion (29/41, 71%), reduced burnout (106/191, 56%), and improved their mood (133/191, 70%). In total, 16 (55%) of the 29 participants accessed guided audio recordings on average 3 (SD 3.4) times throughout the program. At the posttreatment time point, most participants (13/18, 72%) indicated that Compassion Coach helped them engage in compassion practices in daily life, and half (9/18, 50%) indicated that Compassion Coach helped improve interactions with patients. CONCLUSIONS: Overall, preliminary results of Compassion Coach are encouraging and suggest the integration of a smartphone app with an ongoing mindfulness and self-compassion training program may bolster the effects of the program on medical trainees. However, there was variability in engagement with Compassion Coach and perceived helpfulness. Additional research is indicated to optimize this novel mHealth approach and conduct a study powered to formally evaluate effects.

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