Satele, Daniel

Abstract Purpose Crisis periods—defined as sustained disruptions to the clinical environment resulting in increased workload, exposure to high-acuity patient care, or limited access to coping resources—can lead to posttraumatic stress disorder (PTSD) among residents and fellows (trainees). By examining self-reported pandemic-related PTSD symptoms, associated risk factors, and their consequences, this study aims to identify vulnerable groups and inform institutional strategies to support trainee well-being during and after crisis events. Method A multi-institutional cross-sectional survey was conducted at 3 U.S. academic medical centers between April and May 2022. Measures included the Primary Care PTSD Screen for DSM-5 (range 0 to 5, scores ≥4 indicate probable PTSD), 4-item PROMIS Social Isolation scale (normed T-score range 0 to 100 scale with higher scores indicating greater isolation), items exploring intent to stay at one’s institution, and demographics. Multivariable analysis adjusted for demographics, specialty, and postgraduate year. Results Of 6,057 eligible trainees, 3,185 (53%) participated in the survey, with 3,109 completing the PTSD screening. A total of 190 (6%) trainees screened positive for self-reported PTSD symptoms. Multivariable analysis revealed that female trainees had a higher odds of screening positive for self-reported PTSD symptoms compared to males (odds ratio [OR] 1.45; 95% confidence interval [CI], 1.03-2.04; P = .03). Greater social isolation was independently associated with increased PTSD risk (OR 1.09; 95% CI, 1.07-1.11; P < .001). Additionally, trainees who did not intend to remain at their institution after training were more likely to screen positive for PTSD (OR 1.74; 95% CI, 1.17-2.58; P = .01). Conclusions Female gender, greater social isolation, and reduced intention to remain at one’s institution are independently associated with self-reported PTSD symptoms in trainees. Recognizing these relationships may enable health care leaders to proactively identify trainees at higher risk during crisis periods and to implement targeted, evidence-based interventions that promote well-being and workforce retention.

Importance Little is known about food insecurity (FI) among graduate medical education (GME) trainees or how FI might relate to well-being outcomes in this population. Objectives To assess the prevalence of and factors associated with FI among GME trainees and to investigate the associations of FI with well-being outcomes such as burnout and social isolation in this population. Design, Setting, and Participants In this cross-sectional study, a survey was distributed among 3408 resident and fellow physicians at 4 geographically distinct sites within 2 US academic institutions from May 2 to June 21, 2023. All resident and fellow physicians appointed at both institutions were eligible and were invited by email to participate. Main Outcomes and Measures The primary outcome was prevalence of FI. Measurement instruments included a 2-item FI screening tool, a 2-item measure of burnout, items addressing intent to stay at one’s institution, social isolation, and demographic characteristics. Univariable analysis and multivariable Poisson and linear regression were used to characterize prevalence and factors associated with FI and associations with well-being outcomes and intent to stay at the institution. Results Of those eligible, 1656 residents and fellows participated in the survey (a response rate of 48.6%). Of these respondents, 735 of 1458 (50.4%) who indicated their gender identified as men and 365 of 1402 (26.0%) who indicated their parental status reported having children. Of the 1551 respondents who reported their age, 519 (33.5%) were younger than 30 years, 770 (49.6%) were aged 31 to 35 years, 169 (10.9%) were aged 36 to 40 years, and 53 (3.4%) were older than 40 years. Among 1457 respondents indicating their race and ethnicity, the majority were Asian (310 [21.3%]) or White (654 [44.9%]). The overall prevalence of FI was 13.7%. FI proportions differed across training sites, with higher levels in large metropolitan locations (15.6%, 17.0%, and 21.3% for the 3 sites in large metropolitan areas vs 4.5% for the site in a small metropolitan area; P < .001). There were also differences by postgraduate year (16.9% for postgraduate year 1 vs 10.1% for postgraduate year ≥5; P = .003) and race and ethnicity (22.4% for Black or African American trainees compared with 8.4% for White trainees; P = .04). Those with FI were more likely to experience burnout (adjusted relative risk, 1.37 [95% CI, 1.18-1.60]; P < .001), were less likely to consider remaining at their institution after training (adjusted relative risk, 0.81 [95% CI, 0.68-0.98]; P = .02), and had higher social isolation scores (T-score parameter estimate 2.37 [95% CI, 0.89-3.86]; P = .002). Conclusions and Relevance In this cross-sectional study, nearly 1 in 7 GME trainees screened positive for FI. FI was associated with important well-being outcomes including burnout. These findings suggest that academic medical institutions should pursue systemic solutions to address FI among resident and fellow physicians as a means of supporting their well-being.

ImportanceBurnout remains prevalent among physicians and can negatively affect quality, safety, and cost of patient care. Few randomized studies on interventions to address burnout have been conducted to date.ObjectiveTo determine whether wearing a smartwatch and having access to its physiological data (eg, sleep, step count, and heart rate) improves physician well-being (and if so, which dimensions of well-being).Design, Setting, and ParticipantsThis randomized clinical trial included physicians at 2 US medical centers (Mayo Clinic and the University of Colorado School of Medicine) who volunteered to wear a provided smartwatch beginning June 7, 2023. The study concluded on June 27, 2024.InterventionSix months of wearing a smartwatch.Main Outcomes and MeasuresBurnout, resilience, quality of life, depressive symptoms, stress, and sleepiness were measured using validated scales. Participants completed electronic surveys at baseline and 3, 6, 9, and 12 months. An intention-to-treat analysis was conducted.ResultsThis study included 184 physicians (mean [SD] age, 37.5 [9.3] years; 107 females [58.8%]). A total of 83 of 183 physicians (45.4%) were residents or fellows, 103 of 184 (56.0%) lived in Colorado, and 99 of 182 (54.4%) worked in non–primary care settings. Baseline levels of well-being across the measured dimensions were similar for the 2 study arms. At 6 months, 35 of 85 physicians (41.2%) in the intervention arm had burnout compared with 46 of 91 (50.5%) in the control arm (P = .21). Mean (SD) resilience scores at 6 months were 31.9 (5.0) and 29.5 (6.2) among physicians in the intervention and control arms, respectively (P = .01). In multivariable analysis adjusting for baseline score, demographics, specialty, and work hours, the prevalence of burnout was lower (odds ratio, 0.46 [95% CI, 0.21-0.99]; P = .046) and mean resilience score was higher (parameter estimate [scale, 0-40], 1.20 points [95% CI, 0.11-2.28 points]; P = .03; Cohen d = 0.17) among physicians in the intervention arm vs the control arm after 6 months.Conclusions and RelevanceIn this randomized clinical trial to evaluate the effect of wearing a smartwatch and having access to its physiological data on physician well-being, physicians who wore a smartwatch experienced improvements in burnout and resilience. Future research should explore whether engagement with smartwatch data leads to actual behavior change (eg, adaptive coping or reflective habits) that reduces burnout risk and enhances resilience.Trial RegistrationClinicalTrials.gov Identifier: NCT05463250

Goal: We sought to build upon previous studies that have demonstrated how healthcare workers’ ratings of their immediate supervisor’s leadership capabilities relate to their well-being and job satisfaction. Methods: In 2022, we analyzed cross-sectional data from 1,780 physicians and 39,896 allied health professionals (collected in 2017) and 729 residents (collected in 2019), as well as longitudinal data from 1,632 physicians (collected from 2015 to 2017), to identify a psychometrically strong, broadly applicable, actionable, and low-burden approach to assessing supervisor leadership capability to support healthcare worker well-being. Principal Findings: The magnitude of association between our 1-, 2-, 3-, and 9-item leadership indexes and burnout, and between our 1-, 2-, 3-, and 9-item leadership indexes and satisfaction with the organization were similar to each other in the cross-sectional and longitudinal cohorts and across diverse groups of healthcare workers, including physicians, residents, and allied health professionals. The likelihood ratio for a high leadership score increased with an increasing score for each leadership measure. The area under the receiver operating characteristic curve for the 1-, 2-, and 3-item measures for a high leadership score was 0.9349, 0.9672, and 0.9819, respectively. Practical Applications: A single item assessing perceptions of leadership capability efficiently provides useful information about leadership qualities of healthcare workers’ immediate supervisors. The inclusion of this item in healthcare worker surveys may be useful for evaluating interventions and galvanizing organizational action to support healthcare worker well-being.

Objectives To assess the prevalence and drivers of distress, a composite of burnout, decreased meaning in work, severe fatigue, poor work–life integration and quality of life, and suicidal ideation, among nurses and physicians during the COVID-19 pandemic. Design Cross-sectional design to evaluate distress levels of nurses and physicians during the COVID-19 pandemic between June and August 2021. Setting Cardiovascular and oncology care settings at a Canadian quaternary hospital network. Participants 261 nurses and 167 physicians working in cardiovascular or oncology care. Response rate was 29% (428 of 1480). Outcome measures Survey tool to measure clinician distress using the Well-Being Index (WBI) and additional questions about workplace-related and COVID-19 pandemic-related factors. Results Among 428 respondents, nurses (82%, 214 of 261) and physicians (62%, 104 of 167) reported high distress on the WBI survey. Higher WBI scores (≥2) in nurses were associated with perceived inadequate staffing (174 (86%) vs 28 (64%), p=0.003), unfair treatment, (105 (52%) vs 11 (25%), p=0.005), and pandemic-related impact at work (162 (80%) vs 22 (50%), p<0.001) and in their personal life (135 (67%) vs 11 (25%), p<0.001), interfering with job performance. Higher WBI scores (≥3) in physicians were associated with perceived inadequate staffing (81 (79%) vs 32 (52%), p=0.001), unfair treatment (44 (43%) vs 13 (21%), p=0.02), professional dissatisfaction (29 (28%) vs 5 (8%), p=0.008), and pandemic-related impact at work (84 (82%) vs 35 (56%), p=0.001) and in their personal life (56 (54%) vs 24 (39%), p=0.014), interfering with job performance. Conclusion High distress was common among nurses and physicians working in cardiovascular and oncology care settings during the pandemic and linked to factors within and beyond the workplace. These results underscore the complex and contextual aspects of clinician distress, and the need to develop targeted approaches to effectively address this problem.

Objective: To determine if individualized professional coaching reduces burnout, improves quality of life, and increases resilience among surgeons. Background: Burnout is common among surgeons and associated with suboptimal patient care and personal consequences. Methods: A randomized controlled trial of 80 surgeons evaluating the impact of 6 monthly professional coaching sessions on burnout (Maslach Burnout Inventory), quality of life (single-item linear analog scale), and resilience (Connor-Davidson Resilience Scale) immediately postintervention and 6 months later. Participants randomized to the control group subsequently received 6 professional coaching sessions during months 6 to 12 (delayed intervention). Results: At the conclusion of professional coaching in the immediate intervention group, the rate of overall burnout decreased by 2.5% in the intervention arm compared with an increase of 2.5% in the control arm [delta: −5.0%, 95% confidence interval (CI): −8.6%, −1.4%; P=0.007]. Resilience scores improved by 1.9 points in the intervention arm compared with a decrease of 0.2 points in the control arm (delta: 2.2 points; 95% CI: 0.07, 4.30; P=0.04). Six months after completion of the coaching period, burnout had returned to near baseline levels while resilience continued to improve among the immediate intervention group. The delayed intervention group experienced improvements in burnout during their coaching experience relative to the immediate intervention group during their postintervention period (18.2% decrease vs 2.9% increase, delta: −21.1%, 95% CI: −24.9%, −17.3%; P<0.001). Conclusions: Professional coaching over 6 months improved burnout and resilience among surgeons, with reductions in improvement over the ensuing 6 months.

Abstract Purpose To examine associations of social support and social isolation with burnout, program satisfaction, and organization satisfaction among a large population of U.S. residents and fellows and to identify correlates of social support and social isolation. Method All residents and fellows enrolled in graduate medical education programs at Mayo Clinic sites were surveyed in February 2019. Survey items measured social support (emotional and tangible), social isolation, burnout, program satisfaction, and organization satisfaction. Factors of potential relevance to social support were collected (via the survey, institutional administrative records, and interviews with program coordinators and/or program directors) and categorized as individual, interpersonal, program, or work-related factors (duty hours, call burden, elective time, vacation days used before survey administration, required away rotations, etc.). Multivariable regression analyses were conducted to examine relationships between variables. Results Of 1,146 residents surveyed, 762 (66%) from 58 programs responded. In adjusted models, higher emotional and tangible support were associated with lower odds of burnout and higher odds of program and organization satisfaction, while higher social isolation scores were associated with higher odds of burnout and lower odds of program satisfaction and organization satisfaction. Independent predictors of social support and/or social isolation included age, gender, relationship status, parental status, postgraduate year, site, ratings of the program leadership team, ratings of faculty relationships and faculty professional behaviors, satisfaction with autonomy, and vacation days used before survey administration. Conclusions This study demonstrates that social support and social isolation are strongly related to burnout and satisfaction among residents and fellows. Personal and professional relationships, satisfaction with autonomy, and vacation days are independently associated with social support and/or social isolation, whereas most program and work-related factors are not. Additional studies are needed to determine if social support interventions targeting these factors can improve well-being and enhance satisfaction with training.

While oxaliplatin-induced peripheral neuropathy (OIPN) is more common and severe in patients who receive the previous standard, 6-month oxaliplatin-based treatment, we hypothesized that OIPN was still pervasive in patients who received shorter, 3-month-treatment regimens. Using six EORTC QLQ-CIPN20 questions that quantify numbness (N), tingling (T) and shooting/burning pain (P) in upper/lower distal extremities, our aim is to quantify patient-reported responses over 3 months (6 cycles) of oxaliplatin regarding symptom-specific timing, location and severity. For each question, patients were asked how each of the sensory symptoms had affected them during the preceding week, with 1 = “Not at all”, 2 = “A little”, 3 = “Quite a bit” and 4 = “Very much”. The proportional odds model for the cumulative log odds of response that allowed symptom-specific patient heterogeneity to be obtained was applied to a pooled dataset from the placebo arms of two multisite OIPN prevention trials and fit separately to the upper/lower distal extremities. For each symptom, we report the cycle-specific marginal probabilities for each response. In 141 patients, substantial patient heterogeneity in the likelihood, at a given cycle, of a more severe response for a symptom was present. Distinct patterns in the probabilities for each response over time for N and T were observed between the upper/lower distal extremities, while the probabilities of a response >1 for P was largely negligible in both locations. Despite the decrease in exposure to oxaliplatin from 6 to 3 months, OIPN was still pervasive with patients experiencing considerable N and T in the fingers (or hands) and toes (or feet).

Background In clinical trials and clinical practice, patient-reported outcomes are almost always assessed using multiple patient-reported outcome measures at the same time. This raises concerns about whether patient responses are affected by the order in which the patient-reported outcome measures are administered. Methods This questionnaire-based study of order effects included adult cancer patients from five cancer centers. Patients were randomly assigned to complete questionnaires via paper booklets, interactive voice response system, or tablet web survey. Linear Analogue Self-Assessment, Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events, and Patient-Reported Outcomes Measurement Information System assessment tools were each used to measure general health, physical function, social function, emotional distress/anxiety, emotional distress/depression, fatigue, sleep, and pain. The order in which the three tools, and domains within tools, were presented to patients was randomized. Rates of missing data, scale scores, and Cronbach’s alpha coefficients were compared by the order in which they were assessed. Analyses included Cochran–Armitage trend tests and mixed models adjusted for performance score, age, sex, cancer type, and curative intent. Results A total of 1830 patients provided baseline patient-reported outcome assessments. There were no significant trends in rates of missing values by whether a scale was assessed earlier or later. The largest order effect for scale scores was due to a large mean score at one assessment time point. The largest difference in Cronbach’s alpha between the versions for the Patient-Reported Outcomes Measurement Information System scales was 0.106. Conclusion The well-being of a cancer patient has many different aspects such as pain, fatigue, depression, and anxiety. These are assessed using a variety of surveys often collected at the same time. This study shows that the order in which the different aspects are collected from the patient is not important.