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.

Safety climate, safety climate strength, and length of stay in the NICU.

BACKGROUND: Safety climate is an important marker of patient safety attitudes within health care units, but the significance of intra-unit variation of safety climate perceptions (safety climate strength) is poorly understood. This study sought to examine the standard safety climate measure (percent positive response (PPR)) and safety climate strength in relation to length of stay (LOS) of very low birth weight (VLBW) infants within California neonatal intensive care units (NICUs). METHODS: Observational study of safety climate from 2073 health care providers in 44 NICUs. Consistent perceptions among a NICU's respondents, i.e., safety climate strength, was determined via intra-unit standard deviation of safety climate scores. The relation between safety climate PPR, safety climate strength, and LOS among VLBW (< 1500 g) infants was evaluated using log-linear regression. Secondary outcomes were infections, chronic lung disease, and mortality. RESULTS: NICUs had safety climate PPRs of 66 ± 12%, intra-unit standard deviations 11 (strongest) to 23 (weakest), and median LOS 60 days. NICUs with stronger climates had LOS 4 days shorter than those with weaker climates. In interaction modeling, NICUs with weak climates and low PPR had the longest LOS, NICUs with strong climates and low PPR had the shortest LOS, and NICUs with high PPR (both strong and weak) had intermediate LOS. Stronger climates were associated with lower odds of infections, but not with other secondary outcomes. CONCLUSIONS: Safety climate strength is independently associated with LOS and moderates the association between PPR and LOS among VLBW infants. Strength and PPR together provided better prediction than PPR alone, capturing variance in outcomes missed by PPR. Evaluations of NICU safety climate consider both positivity (PPR) and consistency of responses (strength) across individuals.

Got spirit? The spiritual climate scale, psychometric properties, benchmarking data and future directions.

BACKGROUND: Organizations that encourage the respectful expression of diverse spiritual views have higher productivity and performance, and support employees with greater organizational commitment and job satisfaction. Within healthcare, there is a paucity of studies which define or intervene on the spiritual needs of healthcare workers, or examine the effects of a pro-spirituality environment on teamwork and patient safety. Our objective was to describe a novel survey scale for evaluating spiritual climate in healthcare workers, evaluate its psychometric properties, provide benchmarking data from a large faith-based healthcare system, and investigate relationships between spiritual climate and other predictors of patient safety and job satisfaction. METHODS: Cross-sectional survey study of US healthcare workers within a large, faith-based health system. RESULTS: Seven thousand nine hundred twenty three of 9199 eligible healthcare workers across 325 clinical areas within 16 hospitals completed our survey in 2009 (86% response rate). The spiritual climate scale exhibited good psychometric properties (internal consistency: Cronbach α = .863). On average 68% (SD 17.7) of respondents of a given clinical area expressed good spiritual climate, although assessments varied widely (14 to 100%). Spiritual climate correlated positively with teamwork climate (r = .434, p < .001) and safety climate (r = .489, p < .001). Healthcare workers reporting good spiritual climate were less likely to have intentions to leave, to be burned out, or to experience disruptive behaviors in their unit and more likely to have participated in executive rounding (p < .001 for each variable). CONCLUSIONS: The spiritual climate scale exhibits good psychometric properties, elicits results that vary widely by clinical area, and aligns well with other culture constructs that have been found to correlate with clinical and organizational outcomes.

Teamwork in the NICU Setting and Its Association with Health Care-Associated Infections in Very Low-Birth-Weight Infants.

Background and Objective Teamwork may affect clinical care in the neonatal intensive care unit (NICU) setting. The objective of this study was to assess teamwork climate across NICUs and to test scale-level and item-level associations with health care-associated infection (HAI) rates in very low-birth-weight (VLBW) infants. Methods Cross-sectional study of the association between HAI rates, defined as any bacterial or fungal infection during the birth hospitalization, among 6,663 VLBW infants cared for in 44 NICUs between 2010 and 2012. NICU HAI rates were correlated with teamwork climate ratings obtained in 2011 from 2,073 of 3,294 eligible NICU health professionals (response rate 63%). The relation between HAI rates and NICU teamwork climate was assessed using logistic regression models including NICU as a random effect. Results Across NICUs, 36 to 100% (mean 66%) of respondents reported good teamwork. HAI rates were significantly and independently associated with teamwork climate (odds ratio, 0.82; 95% confidence interval, 0.73-0.92, p = 0.005), such that the odds of an infant contracting a HAI decreased by 18% with each 10% rise in NICU respondents reporting good teamwork. Conclusion Improving teamwork may be an important element in infection control efforts.

Validation of the Dutch language version of the Safety Attitudes Questionnaire (SAQ-NL).

BACKGROUND: As the first objective of caring for patients is to do no harm, patient safety is a priority in delivering clinical care. An essential component of safe care in a clinical department is its safety climate. Safety climate correlates with safety-specific behaviour, injury rates, and accidents. Safety climate in healthcare can be assessed by the Safety Attitudes Questionnaire (SAQ), which provides insight by scoring six dimensions: Teamwork Climate, Job Satisfaction, Safety Climate, Stress Recognition, Working Conditions and Perceptions of Management. The objective of this study was to assess the psychometric properties of the Dutch language version of the SAQ in a variety of clinical departments in Dutch hospitals. METHODS: The Dutch version (SAQ-NL) of the SAQ was back translated, and analyzed for semantic characteristics and content. From October 2010 to November 2015 SAQ-NL surveys were carried out in 17 departments in two university and seven large non-university teaching hospitals in the Netherlands, prior to a Crew Resource Management human factors intervention. Statistical analyses were used to examine response patterns, mean scores, correlations, internal consistency reliability and model fit. Cronbach's α's and inter-item correlations were calculated to examine internal consistency reliability. RESULTS: One thousand three hundred fourteen completed questionnaires were returned from 2113 administered to health care workers, resulting in a response rate of 62 %. Confirmatory Factor Analysis revealed the 6-factor structure fit the data adequately. Response patterns were similar for professional positions, departments, physicians and nurses, and university and non-university teaching hospitals. The SAQ-NL showed strong internal consistency (α = .87). Exploratory analysis revealed differences in scores on the SAQ dimensions when comparing different professional positions, when comparing physicians to nurses and when comparing university to non-university hospitals. CONCLUSIONS: The SAQ-NL demonstrated good psychometric properties and is therefore a useful instrument to measure patient safety climate in Dutch clinical work settings. As removal of one item resulted in an increased reliability of the Working Conditions dimension, revision or deletion of this item should be considered. The results from this study provide researchers and practitioners with insight into safety climate in a variety of departments and functional positions in Dutch hospitals.

Practice and quality improvement: successful implementation of TeamSTEPPS tools into an academic interventional ultrasound practice.

OBJECTIVE: The goal of this study was to implement an evidence-based teamwork system to improve communication and teamwork skills among health care professionals (TeamSTEPPS) into an academic interventional ultrasound program and to assess safety and team-work climate across team members both before and after implementation. MATERIALS AND METHODS: Members of a change team (including master trainers) selected specific tools available within TeamSTEPPS to implement into an academic interventional ultrasound service. Tools selected were based on preimplementation survey data obtained from team members (n = 64: 11 attending faculty physicians, 12 clinical abdominal imaging fellows or residents, 17 sonographers, 19 nurses, and five technologist aides or administrative personnel). The survey included teamwork climate and safety climate domains from the Safety Attitudes Questionnaire. Four months after implementation, respondents were resurveyed and post-implementation data were collected. RESULTS: Teamwork climate scores improved from a mean of 67.9 (SD, 12.8) before implementation to a mean of 87.8 (SD, 14.1) after implementation (t = -7.6; p < 0.001). Safety climate scores improved from a mean of 76.5 (SD, 12.8) before implementation to a mean of 88.3 (SD, 13.4) after implementation (t = -4.6; p < 0.001). In particular, teamwork items about "input being well received" and "speaking up" were the most responsive to the intervention. CONCLUSION: The implementation of TeamSTEPPS tools was associated with statistically significant improvements in safety and teamwork metrics in an academic interventional ultrasound practice. The most notable improvements were seen in communication among team members and role clarification. We think that this model, which has been successfully implemented in many nonradiologic areas in medical care, is also applicable in imaging practice.

"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.

Measuring handoff quality in labor and delivery: development, validation, and application of the Coordination of Handoff Effectiveness Questionnaire (CHEQ).

BACKGROUND: A prospective, nonblinded intervention study was conducted (1) to evaluate the psychometric properties of a new questionnaire, the CHEQ (Coordination of Handoff Effectiveness Questionnaire) for measuring the quality of handoff interactions in labor and delivery (L&D) and (2) to demonstrate the utility of the CHEQ in evaluating the effectiveness of a previously described intervention, the tangible handoff, for standardizing handoffs in L&D. METHODS: The CHEQ incorporates three existing handoff-related scales: teamwork climate, job satisfaction, and burnout. Two new scales--information quality and process quality--were developed, refined, and evaluated. The CHEQ was administered to 56 eligible L&D nurses pre- and post-implementation of the tangible handoff intervention. RESULTS: Baseline and postintervention response rates for the CHEQ were 98% and 84%, respectively. Overall, the teamwork climate scale significantly improved from 57.17% to 68.35% (t = -2.84, p = .006), and the burnout scale significantly decreased from 49.70% to 36.21% (t = -2.56, p = .012) following implementation of the tangible handoff. Job satisfaction improved, although not at a statistically significant level. Cronbach's alpha results ranged from .68 to .96 for all scales, both pre- and post-intervention. CONCLUSIONS: The CHEQ is psychometrically sound for evaluating handoffquality, is practical to administer, achieves high response rates, and is amenable to straightforward statistical analysis. The CHEQ is useful for evaluating handoff quality and gauging the responsiveness to a unit-level intervention in the scope of unit-level climate. The CHEQ may be replicated or adapted for other clinical areas to investigate handoffs and inform the design and evaluation of handoff interventions.

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

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

Teamwork Before and During COVID-19: The Good, the Same, and the Ugly .

OBJECTIVES: The COVID 19 pandemic placed unprecedented strain on healthcare systems and workers, likely also impacting patient safety and outcomes. This study aimed to understand how teamwork climate changed during that pandemic and how these changes affected safety culture and workforce well-being. METHODS: This cross-sectional observational study of 50,000 healthcare workers (HCWs) in 3 large U.S. health systems used scheduled culture survey results at 2 distinct time points: before and during the first year of the COVID 19 pandemic. The SCORE survey measured 9 culture domains: teamwork climate, safety climate, leadership engagement, improvement readiness, emotional exhaustion, emotional exhaustion climate, thriving, recovery, and work-life balance. RESULTS: Response rate before and during the pandemic was 75.45% and 74.79%, respectively. Overall, HCWs reporting favorable teamwork climate declined (45.6%-43.7%, P < 0.0001). At a facility level, 35% of facilities saw teamwork climate decline, while only 4% saw an increase in teamwork climate. Facilities with decreased teamwork climate had associated decreases in every culture domain, while facilities with improved teamwork climate maintained well-being domains and saw improvements in every other culture domain. CONCLUSIONS: Healthcare worker teamwork norms worsened during the COVID-19 pandemic. Teamwork climate trend was closely associated with other safety culture metrics. Speaking up, resolving conflicts, and interdisciplinary coordination of care were especially predictive. Facilities sustaining these behaviors were able to maintain other workplace norms and workforce well-being metrics despite a global health crisis. Proactive team training may provide substantial benefit to team performance and HCW well-being during stressful times.

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.

A multicenter, phased, cluster-randomized controlled trial to reduce central line-associated bloodstream infections in intensive care units*.

OBJECTIVES: To determine the causal effects of an intervention proven effective in pre-post studies in reducing central line-associated bloodstream infections in the intensive care unit. DESIGN: We conducted a multicenter, phased, cluster-randomized controlled trial in which hospitals were randomized into two groups. The intervention group started in March 2007 and the control group started in October 2007; the study period ended September 2008. Baseline data for both groups are from 2006. SETTING: Forty-five intensive care units from 35 hospitals in two Adventist healthcare systems. INTERVENTIONS: A multifaceted intervention involving evidence-based practices to prevent central line-associated bloodstream infections and the Comprehensive Unit-based Safety Program to improve safety, teamwork, and communication. MEASUREMENTS AND RESULTS: We measured central line-associated bloodstream infections per 1,000 central line days and reported quarterly rates. Baseline average central line-associated bloodstream infections per 1,000 central line days was 4.48 and 2.71, for the intervention and control groups (p = .28), respectively. By October to December 2007, the infection rate declined to 1.33 in the intervention group compared to 2.16 in the control group (adjusted incidence rate ratio 0.19; p = .003; 95% confidence interval 0.06-0.57). The intervention group sustained rates <1/1,000 central line days at 19 months (an 81% reduction). The control group also reduced infection rates to <1/1,000 central line days (a 69% reduction) at 12 months. CONCLUSIONS: This study demonstrated a causal relationship between the multifaceted intervention and the reduced central line-associated bloodstream infections. Both groups decreased infection rates after implementation and sustained these results over time, replicating the results found in previous, pre-post studies of this multifaceted intervention and providing further evidence that most central line-associated bloodstream infections are preventable.

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.