Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study.

BACKGROUND: New technology adoption is common in health care, but it may elicit frustration if end users are not sufficiently considered in their design or trained in their use. These frustrations may contribute to burnout. OBJECTIVE: This study aimed to evaluate and quantify health care workers' frustration with technology and its relationship with emotional exhaustion, after controlling for measures of work-life integration that may indicate excessive job demands. METHODS: This was a cross-sectional, observational study of health care workers across 31 Michigan hospitals. We used the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey to measure work-life integration and emotional exhaustion among the survey respondents. We used mixed-effects hierarchical linear regression to evaluate the relationship among frustration with technology, other components of work-life integration, and emotional exhaustion, with adjustment for unit and health care worker characteristics. RESULTS: Of 15,505 respondents, 5065 (32.7%) reported that they experienced frustration with technology on at least 3-5 days per week. Frustration with technology was associated with higher scores for the composite Emotional Exhaustion scale (r=0.35, P<.001) and each individual item on the Emotional Exhaustion scale (r=0.29-0.36, P<.001 for all). Each 10-point increase in the frustration with technology score was associated with a 1.2-point increase (95% CI 1.1-1.4) in emotional exhaustion (both measured on 100-point scales), after adjustment for other work-life integration items and unit and health care worker characteristics. CONCLUSIONS: This study found that frustration with technology and several other markers of work-life integration are independently associated with emotional exhaustion among health care workers. Frustration with technology is common but not ubiquitous among health care workers, and it is one of several work-life integration factors associated with emotional exhaustion. Minimizing frustration with health care technology may be an effective approach in reducing burnout among health care workers.

Evidence Relating Health Care Provider Burnout and Quality of Care: A Systematic Review and Meta-analysis.

Background: Whether health care provider burnout contributes to lower quality of patient care is unclear. Purpose: To estimate the overall relationship between burnout and quality of care and to evaluate whether published studies provide exaggerated estimates of this relationship. Data Sources: MEDLINE, PsycINFO, Health and Psychosocial Instruments (EBSCO), Mental Measurements Yearbook (EBSCO), EMBASE (Elsevier), and Web of Science (Clarivate Analytics), with no language restrictions, from inception through 28 May 2019. Study Selection: Peer-reviewed publications, in any language, quantifying health care provider burnout in relation to quality of patient care. Data Extraction: 2 reviewers independently selected studies, extracted measures of association of burnout and quality of care, and assessed potential bias by using the Ioannidis (excess significance) and Egger (small-study effect) tests. Data Synthesis: A total of 11 703 citations were identified, from which 123 publications with 142 study populations encompassing 241 553 health care providers were selected. Quality-of-care outcomes were grouped into 5 categories: best practices (n = 14), communication (n = 5), medical errors (n = 32), patient outcomes (n = 17), and quality and safety (n = 74). Relations between burnout and quality of care were highly heterogeneous (I2 = 93.4% to 98.8%). Of 114 unique burnout-quality combinations, 58 indicated burnout related to poor-quality care, 6 indicated burnout related to high-quality care, and 50 showed no significant effect. Excess significance was apparent (73% of studies observed vs. 62% predicted to have statistically significant results; P = 0.011). This indicator of potential bias was most prominent for the least-rigorous quality measures of best practices and quality and safety. Limitation: Studies were primarily observational; neither causality nor directionality could be determined. Conclusion: Burnout in health care professionals frequently is associated with poor-quality care in the published literature. The true effect size may be smaller than reported. Future studies should prespecify outcomes to reduce the risk for exaggerated effect size estimates. Primary Funding Source: Stanford Maternal and Child Health Research Institute.

Gratitude at Work: Prospective Cohort Study of a Web-Based, Single-Exposure Well-Being Intervention for Health Care Workers.

BACKGROUND: Emotional exhaustion (EE) in health care workers is common and consequentially linked to lower quality of care. Effective interventions to address EE are urgently needed. OBJECTIVE: This randomized single-exposure trial examined the efficacy of a gratitude letter-writing intervention for improving health care workers' well-being. METHODS: A total of 1575 health care workers were randomly assigned to one of two gratitude letter-writing prompts (self- vs other focused) to assess differential efficacy. Assessments of EE, subjective happiness, work-life balance, and tool engagement were collected at baseline and 1-week post intervention. Participants received their EE score at baseline and quartile benchmarking scores. Paired-samples t tests, independent t tests, and correlations explored the efficacy of the intervention. Linguistic Inquiry and Word Count software assessed the linguistic content of the gratitude letters and associations with well-being. RESULTS: Participants in both conditions showed significant improvements in EE, happiness, and work-life balance between the intervention and 1-week follow-up (P<.001). The self-focused (vs other) instruction conditions did not differentially predict improvement in any of the measures (P=.91). Tool engagement was high, and participants reporting higher motivation to improve their EE had higher EE at baseline (P<.001) and were more likely to improve EE a week later (P=.03). Linguistic analyses revealed that participants high on EE at baseline used more negative emotion words in their letters (P=.005). Reduction in EE at the 1-week follow-up was predicted at the level of a trend by using fewer first-person (P=.06) and positive emotion words (P=.09). No baseline differences were found between those who completed the follow-up assessment and those who did not (Ps>.05). CONCLUSIONS: This single-exposure gratitude letter-writing intervention appears to be a promising low-cost, brief, and meaningful tool to improve the well-being of health care workers.

The Improvement Readiness scale of the SCORE survey: a metric to assess capacity for quality improvement in healthcare.

BACKGROUND: Quality improvement efforts are inextricably linked to the readiness of healthcare workers to take them on. The current study aims to clarify the nature and measurement of Improvement Readiness (IR) by 1) examining the psychometric properties of a novel IR scale, 2) assessing relationships between IR and other safety culture domains 3) exploring whether IR differs by healthcare worker demographic factors, and 4) examining linguistic differences in word type use between high and low scoring IR work settings from their free text responses. METHODS: Of 13,040 eligible healthcare workers across a large academic health system, 10,627 (response rate 81%) completed the 5-item IR scale, demographics, safety culture scales, and two open-ended questions. Psychometric analyses, correlations and ANOVAs tested the properties of IR. Linguistic Inquiry Word Count software assessed comments from open-ended questions. RESULTS: The IR scale exhibited strong psychometric properties and a one factor model fit the data well (Cronbach's alpha = .93; RMSEA = .07; CFI = 99; TLI = .99). IR scores differed significantly by role, shift, shift length, and years in specialty. IR correlated significantly and in expected directions with safety culture scales. Linguistic analyses revealed that people in low versus high IR work settings used significantly more words in their responses, and specifically more past tense verbs (e.g., "ignored"), negative emotion words (e.g., "upset"), and first person singular ("I"). Workers from high IR work settings used significantly more positive emotions words (e.g., "grateful") and social words (e.g., "team"). CONCLUSION: The IR scale exhibits strong psychometric properties, is associated with better safety and teamwork climate, lower burnout, and predicts linguistic differences in high versus low IR groups.

Changing Beliefs about Trauma: A Qualitative Study of Cognitive Processing Therapy.

BACKGROUND: Controlled qualitative methods complement quantitative treatment outcome research and enable a more thorough understanding of the effects of therapy and the suspected mechanisms of action. AIMS: Thematic analyses were used to examine outcomes of cognitive processing therapy (CPT) for posttraumatic stress disorder (PTSD) in a randomized controlled trial of individuals diagnosed with military-related PTSD (n = 15). METHOD: After sessions 1 and 11, participants wrote "impact statements" describing their appraisals of their trauma and beliefs potentially impacted by traumatic events. Trained raters coded each of these statements using a thematic coding scheme. RESULTS: An analysis of thematic coding revealed positive changes over the course of therapy in participants' perspective on their trauma and their future, supporting the purported mechanisms of CPT. CONCLUSION: Implications of this research for theory and clinical practice are discussed.

Discrimination hurts, but mindfulness may help: Trait mindfulness moderates the relationship between perceived discrimination and depressive symptoms.

Discriminatory experiences are not only momentarily distressing, but can also increase risk for lasting physical and psychological problems. Specifically, significantly higher rates of depression and depressive symptoms are reported among people who are frequently the target of prejudice. Given the gravity of this problem, this research focuses on an individual difference, trait mindfulness, as a protective factor in the association between discrimination and depressive symptoms. In a community sample of 605 individuals, trait mindfulness dampens the relationship between perceived discrimination and depressive symptoms. Additionally, mindfulness provides benefits above and beyond those of positive emotions. Trait mindfulness may thus operate as a protective individual difference for targets of discrimination.

Anger-related dysregulation as a factor linking childhood physical abuse and interparental violence to intimate partner violence experiences.

OBJECTIVE: Childhood family violence exposure is associated with increased risk for experiencing intimate partner violence (IPV) in adulthood, but the mechanisms underlying this relationship remain inadequately understood. Difficulties with emotion regulation may be one factor that helps to explain this relationship. METHOD: Childhood physical abuse and interparental violence, as well as subsequent IPV experiences, were assessed in a large sample of young adults (N = 670). Several indicators of anger-related dysregulation were also assessed. Structural equation modeling was used to create a latent variable of anger-related dysregulation, which was examined as a potential mediator of the associations between childhood family violence exposure and IPV. RESULTS: Childhood physical abuse and interparental violence were associated with greater physical, sexual, and emotional IPV victimization. Childhood physical abuse and interparental violence were also associated with anger-related dysregulation, which was positively associated with all three types of IPV experiences. Anger-related dysregulation fully mediated the association between witnessing interparental violence and physical IPV. Anger-related dysregulation partially mediated the association between witnessing interparental violence and psychological IPV and the associations of childhood physical abuse with all three forms of IPV. These associations were consistent across gender. CONCLUSIONS: Interventions aimed at reducing IPV risk among survivors of childhood family violence may benefit from including techniques to target anger-related emotion regulation skills.

Self-compassion letter tool for healthcare worker well-being: a qualitative descriptive analysis.

OBJECTIVE: This qualitative study aimed to identify categories within therapeutic self-compassion letters written by healthcare workers. Resulting categories were assessed for their relevance to the construct of self-compassion. DESIGN: This was a qualitative descriptive study that used summative content analysis and inductive coding. SETTING: A US-based academic healthcare system. PARTICIPANTS: Healthcare workers who attended a self-compassion webinar were recruited. INTERVENTION: The online self-compassion tool asked participants to write a letter to themselves from the perspective of a friend providing support and encouragement. RESULTS: 116 letters were analysed. Five major categories emerged: Looking Forward, Reaffirming Self, Reaffirming Reminders, Hardships and Self-Disparagement. Respondents' letters were mostly positively framed and forward thinking, including their hopes of improving themselves and their lives in the future. Negative content generally described hardships and often served to provide self-validation or perspective on obstacles that had been overcome. CONCLUSION: The writing prompt elicited content from the writers that reflected the core elements of self-compassion (ie, self-kindness, common humanity, mindfulness). Continued research to further understand, refine and improve the impact of therapeutic letter writing to enhance well-being is warranted to reduce burnout and promote quality patient care.

"WISER" intervention to reduce healthcare worker burnout - 1 year follow up.

OBJECTIVE: Test sustainability of Web-based Implementation for the Science of Enhancing Resilience (WISER) intervention efficacy in reducing healthcare worker (HCW) emotional exhaustion (EE), a key component of burnout. DESIGN: One-year follow-up of WISER RCT using two cohorts (one waitlist control with shortened intervention period) of HCWs of four NICUs each, to improve HCW well-being (primary outcome: EE). RESULTS: In Cohorts 1 and 2, 194 and 312 WISER initiators were identified by 1-year, and 99 and 80 completed 1-year follow-up, respectively. Combined cohort results showed that relative to baseline, at 1-year WISER decreased EE (-7.07 (95%CI: -10.22, -3.92), p < 0.001), depression (-4.49 (-6.81, -2.16), p = <0.001), and improved work-life integration (6.08 (4.25, 7.90), p = <0.001). EE continued to decline between 6-month and 1-year follow-up (p = 0.022). The percentage of HCWs reporting concerning outcomes was significantly decreased for EE (-10.9% (95%CI: -17.9%, -4.9%); p < 0.001), and secondary outcomes depression and work-life integration. CONCLUSION: WISER improves HCW well-being for at least 1 year. CLINICAL TRIALS NUMBER: NCT02603133; https://clinicaltrials.gov/ct2/show/NCT02603133.

Corrigendum: The language of healthcare worker emotional exhaustion: a linguistic analysis of longitudinal survey.

[This corrects the article DOI: 10.3389/fpsyt.2022.1044378.].

Assessing Leadership Behavior in Health Care: Introducing the Local Leadership Scale of the SCORE Survey.

BACKGROUND: Engaged and accessible leadership is a key component of care excellence. However, the field lacks brief, reliable, and actionable measures of feedback and coaching-related behaviors of local leaders (for example, provides frequent feedback). The current study introduces a five-item Local Leadership (LL) scale by examining its psychometric properties, providing benchmarking across demographic factors and work settings, assessing its association with psychological safety, and testing whether LL predicts reports of restricted activities and absenteeism. METHODS: In this cross-sectional study, 23,853 questionnaires were distributed across 31 Midwestern US hospitals. The survey included the LL scale, as well as safety culture and well-being scales. Psychometric analyses (Cronbach's α, confirmatory factor analysis [CFA] fit: root square mean error of the approximation [RMSEA], comparative fit index [CFI], Tucker-Lewis index [TLI]), Spearman correlations, t-tests, and analyses of variance (ANOVAs) were used to test the properties of the LL scale and differences by health care worker and work setting characteristics. RESULTS: A total of 16,797 surveys were returned (70.4% response rate). The LL scale exhibited strong psychometric properties (Cronbach's α = 0.94; RMSEA = 0.079; CFI = 0.99; TLI = 0.98). LL scores differed by role, shift, shift length, and years in specialty. Of all roles, leaders (for example, managers) rated leaders most favorably. Nonclinical (vs. clinical) and nonsurgical (vs. surgical) work settings reported higher LL. LL scores correlated positively with psychological safety, absenteeism, and activities restricted due to illness. CONCLUSION: The LL scale exhibits strong psychometric properties, convergent validity with psychological safety, and variation by work setting, work setting type, role, shift, shift length, and specialty. The study indicates that assessing leadership behaviors with the LL scale is useful and offers actionable behaviors for leaders to improve safety culture within teams.

Leadership Behavior Associations with Domains of Safety Culture, Engagement, and Health Care Worker Well-Being.

BACKGROUND: Leadership is a key driver of health care worker well-being and engagement, and feedback is an essential leadership behavior. Methods for evaluating interaction norms of local leaders are not well developed. Moreover, associations between local leadership and related domains are poorly understood. This study sought to evaluate health care worker leadership behaviors in relation to burnout, safety culture, and engagement using the Local Leadership scale of the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey. METHODS: The SCORE survey was administered to 31 Midwestern hospitals as part of a broad effort to measure care context, with domains including Local Leadership, Emotional Exhaustion/Burnout, Safety Climate, and Engagement. Mixed-effects hierarchical logistic regression was used to evaluate the relationships between local leadership scores and related domains, adjusted for role and work-setting characteristics. RESULTS: Of the 23,853 distributed surveys, 16,797 (70.4%) were returned. Local leadership scores averaged 68.8 ± 29.1, with 7,338 (44.2%) reporting emotional exhaustion, 9,147 (55.9%) reporting concerning safety climate, 10,974 (68.4%) reporting concerning teamwork climate, 7,857 (47.5%) reporting high workload, and 3,436 (20.7%) reporting intentions to leave. Each 10-point increase in local leadership score was associated with odds ratios of 0.72 (95% confidence interval [CI] 0.71-0.73) for burnout, 0.48 (95% CI 0.47-0.49) for concerning safety climate, 0.64 (95% CI 0.63-0.66) for concerning teamwork climate, 0.90 (95% CI 0.89-0.92) for high workload, and 0.80 (95% CI 0.78-0.81) for intentions to leave, after adjustment for unit and provider characteristics. CONCLUSION: Local leadership behaviors are readily measurable using a five-item scale and strongly associate with established domains of health care worker well-being, safety culture, and engagement.

A new look at an old well-being construct: evaluating the psychometric properties of 9, 5, and 1-item versions of emotional exhaustion metrics.

Objective: To compare the relative strengths (psychometric and convergent validity) of four emotional exhaustion (EE) measures: 9- and 5-item scales and two 1-item metrics. Patients and methods: This was a national cross-sectional survey study of 1409 US physicians in 2013. Psychometric properties were compared using Cronbach's alpha, Confirmatory Factor Analysis (CFA), Exploratory Factor Analysis (EFA), and Spearman's Correlations. Convergent validity with subjective happiness (SHS), depression (CES-D10), work-life integration (WLI), and intention to leave current position (ITL) was assessed using Spearman's Correlations and Fisher's R-to-Z. Results: The 5-item EE scale correlated highly with the 9-item scale (Spearman's rho = 0.828), demonstrated excellent internal reliability (alpha = 0.87), and relative to the 9-item, exhibited superior CFA model fit (RMSEA = 0.082, CFI = 0.986, TLI = 0.972). The 5-item EE scale correlated as highly as the 9-item scale with SHS, CES-D10, and WLI, and significantly stronger than the 9-item scale to ITL. Both 1-item EE metrics had significantly weaker correlation with SHS, CES-D10, WLI, and ITL (Fisher's R-to-Z; p < 0.05) than the 5- and 9-item EE scales. Conclusion: The 5-item EE scale was repeatedly found equivalent or superior to the 9-item version across analyses, particularly with respect to the CFA results. As there is no cost to using the briefer 5-item EE scale, the burden on respondents is smaller, and widespread access to administering and interpreting an excellent wellbeing metric is enhanced at a critical time in global wellbeing research. The single item EE metrics exhibited lower convergent validity than the 5- and 9-item scales, but are acceptable for detecting a signal of EE when using a validated EE scale is not feasible. Replication of psychometrics and open-access benchmarking results for use of the 5-tem EE scale further enhance access and utility of this metric.

Post-traumatic stress disorder symptoms among healthcare workers during the COVID-19 pandemic: Analysis of the HERO Registry.

Little is known about the mental health consequences of the COVID-19 pandemic in healthcare workers (HCWs). Past literature has shown that chronic strain caused by pandemics can adversely impact a variety of mental health outcomes in HCWs. There is growing recognition of the risk of stress and loss of resilience to HCWs during the COVID-19 pandemic, although the risk of post-traumatic stress disorder (PTSD) symptoms in HCWs during the COVID-19 pandemic remains poorly understood. We wanted to understand the relationship between the COVID-19 pandemic and the risk of PTDS symptoms in HCWs during the COVID-19 pandemic. We surveyed 2038 health care workers enrolled in the Healthcare Worker Exposure Response & Outcomes (HERO) study, which is a large standardized national registry of health care workers. Participants answered questions about demographics, COVID-19 exposure, job burnout, and PTSD symptoms. We characterize the burden of PTSD symptoms among HCWs, and determined the association between high PTSD symptoms and race, gender, professional role, work setting, and geographic region using multivariable regression. In a fully adjusted model, we found that older HCWs were less likely to report high PTSD symptoms compared with younger HCWs. Additionally, we found that physicians were less likely to report high PTSD symptoms compared with nurses. These data add to the growing literature on increased risks of mental health challenges to healthcare workers during the COVID-19 pandemic.

Stressors Among Healthcare Workers: A Summative Content Analysis.

Healthcare workers are experiencing high stress and burnout, at rates up to 70%, hindering patient care. Studies often focus on stressors in a particular setting or within the context of the pandemic which limits understanding of a more comprehensive view of stressors experienced by healthcare workers. The purpose of this study was to assess healthcare workers' self-reported major stressors. Between June 2018 and April 2019, U.S. healthcare workers (N = 2,310) wrote answers to an open-ended question: "What are your biggest stressors as you look back over the last few weeks?" A summative content analysis was used to analyze the data. Healthcare workers described three types of stressors: work stressors (49% of total stressors), personal life stressors (32% of total stressors), and stressors that intersect work and personal life (19% of total stressors). Future research and clinical practice should consider the multi-faceted sources of stress.

Characterizing burnout and resilience among nurses: A latent profile analysis of emotional exhaustion, emotional thriving and emotional recovery.

AIMS: To identify subgroups of nurses with distinct profiles of burnout (emotional exhaustion) and resilience (emotional thriving and emotional recovery) and describe nurse characteristics associated with each profile. DESIGN: Cross-sectional, correlational design. METHODS: Data were collected via electronic survey from 2018 to 2019. Latent profile analysis was used to identify subgroups of nurses with distinct profiles of emotional exhaustion, emotional thriving and emotional recovery, with each measured on a 0-100 scale. Bivariate statistics were used to determine profile differences in nurse sociodemographic, professional and psychological characteristics. RESULTS: Four distinct profile subgroups were identified: (1) "exhausted" (14% with very high emotional exhaustion, low emotional thriving and moderate emotional recovery), (2) "exhausted with thriving" (6% with high emotional exhaustion, moderate-high emotional thriving and low emotional recovery), (3) "exhausted with thriving and recovery" (52% with moderate-high emotional exhaustion, emotional thriving and emotional recovery), and (4) "thriving and recovery" (27% with low emotional exhaustion and very high emotional thriving and emotional recovery). Nurses in the "exhausted" and "exhausted with thriving" profiles reported greater depression and poorer work-life integration. Nurses in "exhausted" profile were more likely to work in an inpatient setting. Nurses in the "exhausted with thriving and recovery" and "thriving and recovery" profiles reported more positive emotions, more well-being behaviours, and better work-life integration, with the "thriving and recovery" subgroup having the highest levels of these characteristics, lower depression scores and greater racial minority representation. CONCLUSION: Approaches designed to improve nurse well-being should be tailored to the nurses' profile of emotional exhaustion, thriving and recovery to maximize effectiveness. IMPACT: Given the growing shortage of nurses in healthcare systems, it is critical that multilevel strategies be investigated to retain nursing staff that consider the intersectionality and complexity of the different aspects of burnout and resilience experienced by the nurse. NO PATIENT OR PUBLIC CONTRIBUTION: The aim was to assess burnout and resilience among nurses.

Emotional Exhaustion Among US Health Care Workers Before and During the COVID-19 Pandemic, 2019-2021.

Importance: Extraordinary strain from COVID-19 has negatively impacted health care worker (HCW) well-being. Objective: To determine whether HCW emotional exhaustion has increased during the pandemic, for which roles, and at what point. Design, Setting, and Participants: This survey study was conducted in 3 waves, with an electronic survey administered in September 2019, September 2020, and September 2021 through January 2022. Participants included hospital-based HCWs in clinical and nonclinical (eg, administrative support) roles at 76 community hospitals within 2 large health care systems in the US. Exposures: Safety, Communication, Organizational Reliability, Physician, and Employee Burnout and Engagement (SCORE) survey domains of emotional exhaustion and emotional exhaustion climate. Main Outcomes and Measures: The percentage of respondents reporting emotional exhaustion (%EE) in themselves and a climate of emotional exhaustion (%EEclim) in their colleagues. Survey items were answered on a 5-point scale from 1 (strongly disagree) to 5 (strongly agree); neutral or higher scores were counted as "percent concerning" for exhaustion. Results: Electronic surveys were returned by 37 187 (of 49 936) HCWs in 2019, 38 460 (of 45 268) in 2020, and 31 475 (of 41 224) in 2021 to 2022 for overall response rates of 74.5%, 85.0%, and 76.4%, respectively. The overall sample comprised 107 122 completed surveys. Nursing was the most frequently reported role (n = 43 918 [40.9%]). A total of 17 786 respondents (16.9%) reported less than 1 year at their facility, 59 226 (56.2%) reported 1 to 10 years, and 28 337 (26.9%) reported 11 years or more. From September 2019 to September 2021 through January 2022, overall %EE increased from 31.8% (95% CI, 30.0%-33.7%) to 40.4% (95% CI, 38.1%-42.8%), with a proportional increase in %EE of 26.9% (95% CI, 22.2%-31.8%). Physicians had a decrease in %EE from 31.8% (95% CI, 29.3%-34.5%) in 2019 to 28.3% (95% CI, 25.9%-31.0%) in 2020 but an increase during the second year of the pandemic to 37.8% (95% CI, 34.7%-41.3%). Nurses had an increase in %EE during the pandemic's first year, from 40.6% (95% CI, 38.4%-42.9%) in 2019 to 46.5% (95% CI, 44.0%-49.1%) in 2020 and increasing again during the second year of the pandemic to 49.2% (95% CI, 46.5%-51.9%). All other roles showed a similar pattern to nurses but at lower levels. Intraclass correlation coefficients revealed clustering of exhaustion within work settings across the 3 years, with coefficients of 0.15 to 0.17 for emotional exhaustion and 0.22 to 0.24 for emotional exhaustion climate, higher than the .10 coefficient typical of organizational climate (a medium effect for shared variance), suggestive of a social contagion effect of HCW exhaustion. Conclusions and Relevance: This large-scale survey study of HCWs spanning 3 years offers substantial evidence that emotional exhaustion trajectories varied by role but have increased overall and among most HCW roles since the onset of the pandemic. These results suggest that current HCW well-being resources and programs may be inadequate and even more difficult to use owing to lower workforce capacity and motivation to initiate and complete well-being interventions.

The language of healthcare worker emotional exhaustion: A linguistic analysis of longitudinal survey.

Importance: Emotional exhaustion (EE) rates in healthcare workers (HCWs) have reached alarming levels and been linked to worse quality of care. Prior research has shown linguistic characteristics of writing samples can predict mental health disorders. Understanding whether linguistic characteristics are associated with EE could help identify and predict EE. Objectives: To examine whether linguistic characteristics of HCW writing associate with prior, current, and future EE. Design setting and participants: A large hospital system in the Mid-West had 11,336 HCWs complete annual quality improvement surveys in 2019, and 10,564 HCWs in 2020. Surveys included a measure of EE, an open-ended comment box, and an anonymous identifier enabling HCW responses to be linked across years. Linguistic Inquiry and Word Count (LIWC) software assessed the frequency of one exploratory and eight a priori hypothesized linguistic categories in written comments. Analysis of covariance (ANCOVA) assessed associations between these categories and past, present, and future HCW EE adjusting for the word count of comments. Comments with <20 words were excluded. Main outcomes and measures: The frequency of the linguistic categories (word count, first person singular, first person plural, present focus, past focus, positive emotion, negative emotion, social, power) in HCW comments were examined across EE quartiles. Results: For the 2019 and 2020 surveys, respondents wrote 3,529 and 3,246 comments, respectively, of which 2,101 and 1,418 comments (103,474 and 85,335 words) contained ≥20 words. Comments using more negative emotion (p < 0.001), power (i.e., references relevant to status, dominance, and social hierarchies, e.g., own, order, and allow) words (p < 0.0001), and words overall (p < 0.001) were associated with higher current and future EE. Using positive emotion words (p < 0.001) was associated with lower EE in 2019 (but not 2020). Contrary to hypotheses, using more first person singular (p < 0.001) predicted lower current and future EE. Past and present focus, first person plural, and social words did not predict EE. Current EE did not predict future language use. Conclusion: Five linguistic categories predicted current and subsequent HCW EE. Notably, EE did not predict future language. These linguistic markers suggest a language of EE, offering insights into EE's etiology, consequences, measurement, and intervention. Future use of these findings could include the ability to identify and support individuals and units at high risk of EE based on their linguistic characteristics.

Effectiveness of a bite-sized web-based intervention to improve healthcare worker wellbeing: A randomized clinical trial of WISER.

Importance: Problems with the wellbeing of healthcare workers (HCWs) are widespread and associated with detrimental consequences for the workforce, organizations, and patients. Objective: This study tested the effectiveness of the Web-based Implementation for the Science of Enhancing Resilience (WISER) intervention, a positive psychology program, to improve six dimensions of the wellbeing of HCWs. Design: We conducted a randomized controlled trial of HCWs between 1 April 2018 and 22 July 2019. Cohort 1 received WISER daily for 10 days. Cohort 2 acted as a waitlist control before receiving WISER. Setting: Web-based intervention for actively employed HCWs across the United States. Participants: Eligibility criteria included being ≥18 years old and working as a HCW. Each participant was randomized to start the intervention or serve as a waitlist control for 14 days before starting the intervention. Interventions: Cohorts received links via 10 texts exposing them to introductory videos and positive psychology exercises (3 good things, cultivating awe, random acts of kindness, cultivating relationships, and gratitude letters). Main outcomes and measures: The primary outcome was emotional exhaustion; secondary outcomes included depressive symptoms, work-life integration, happiness, emotional thriving, and emotional recovery. All outcomes were assessed at baseline, 1-week post-intervention (primary endpoint), and 1, 6, and 12-month post-intervention. Outcomes were measured using six validated wellbeing instruments, rescaled to 100-point scales for comparison. Six items assessed participants' WISER experience. The analysis employed mixed-effects models. Results: In cohorts 1 and 2, 241 and 241 initiated WISER, and 178 (74%) and 186 (77%) completed the 6-month follow-up, respectively. Cohort populations were similar at baseline, mostly female (81; 76%) and nurses (34; 32%) or physicians (22; 23%), with 1-10 years of experience in their current position (54; 52%). Relative to control, WISER significantly improved depressive symptoms [-7.5 (95%CI: -11.0, -4.0), p < 0.001], work-life integration [6.5 (95%CI: 4.1, 8.9), p < 0.001], happiness [5.7 (95%CI: 3.0, 8.4), p < 0.001], emotional thriving [6.4 (95%CI: 2.5, 10.3), p = 0.001], and emotional recovery [5.3 (95%CI: 1.7, 8.9), p = 0.004], but not emotional exhaustion [-3.7 (95%CI: -8.2, 0.8), p = 0.11] at 1 week. Combined cohort results at 1, 6, and 12 months showed that all six wellbeing outcomes were significantly improved relative to baseline (p < 0.05 for all). Favorable impressions of WISER were reported by 87% of participants at the 6-month post-assessment. Conclusion and relevance: WISER improved HCW depressive symptoms, work-life integration, happiness, emotional thriving, and emotional recovery. Improvements in all HCW wellbeing outcomes endured at the 1-, 6-, and 12-month follow-ups. HCW's impressions of WISER were positive. Clinical trials number: https://clinicaltrials.gov/ct2/show/, identifier: NCT02603133. Web-based Implementation for the Science of Enhancing Resilience Study (WISER).

The Association between Well-being Behaviors and Resilience in Health Care Workers.

Engaging in well-being behaviors may promote resilience, which can protect against burnout. This descriptive, correlational analysis utilized baseline data from health care workers enrolled in the Web-based Implementation of the Science for Enhancing Resilience longitudinal study (N = 2,383). The study aimed to describe the association of (a) types of well-being behaviors (regular exercise, yoga, meditation, spent time with a close friend, vacation) and (b) total number of well-being behaviors with resilience (emotional thriving and emotional recovery), covarying for sociodemographic and professional characteristics. General linear model findings indicated that each well-being behavior was significantly associated with greater emotional thriving, while only exercise and spending time with friends were significantly related to greater emotional recovery. Emotional thriving and emotional recovery were also significantly higher among health care workers reporting more well-being behaviors. Engaging in well-being behaviors may be one part of the solution toward increasing resilience in health care workers that warrants further investigation.