Safety Responsiveness and Psychological Distress Among Health Care Workers During COVID-19 (2020-2022) in the Pacific Northwest.

Objectives. The COVID-19 pandemic imposed unprecedented safety challenges on health care facilities. This study examined whether health care workers who deemed a better safety response to the pandemic by their units or employers experienced lower psychological distress. Methods. Patient care workers at a health care system in the Pacific Northwest were surveyed every 6 to 8 months from May 2020 to May 2022 (n = 3468). Psychological distress was measured with the Well-being Index (range: -2 to 7 points). Safety response was scored on the basis of participants' ratings (on a 1-5 scale) of equipment sufficiency and responsiveness to safety concerns by their health care system and unit. Results. Adjusted multilevel regressions showed an inverse association between safety responsiveness and psychological distress at the individual level (b = -0.54; 95% confidence interval [CI] = -0.67, -0.41) and the unit level (b = -0.73; 95% CI = -1.46, -0.01). The cross-level interaction was also statistically significant (b = -0.46; 95% CI = -0.87, -0.05). Conclusions. Health care workers who deemed a better response to safety challenges reported lower psychological distress. This study highlights the need for continued efforts to ensure adequate safety resources. (Am J Public Health. 2024;114(S2):S204-S212. https://doi.org/10.2105/AJPH.2024.307582).

The Work-life Check-ins randomized controlled trial: A leader-based adaptive, semi-structured burnout intervention in primary care clinics.

BACKGROUND: Burnout in primary care undermines worker well-being and patient care. Many factors contribute to burnout, including high workloads, emotional stress, and unsupportive supervisors. Formative evidence suggests that burnout might be reduced if clinic leaders hold quarterly and brief (∼30 min) one-on-one check-ins with team members to acknowledge and address work-life stressors (e.g., schedules, workflow breakdowns, time off requests). This paper describes the intervention protocol for a randomized controlled trial (RCT) designed to evaluate the effectiveness and process of the check-ins in reducing burnout among primary care professionals. METHODS: Two-arm RCT conducted at 12 primary care clinics of a healthcare system in the Pacific Northwest. Six clinics received an adaptive design, semi-structured intervention, including predefined training modules with evidence-based tactics to reduce burnout through the check-ins, followed by clinic-specific feedback sessions prior to offering and conducting quarterly leader-employee check-ins. Six clinics were randomized as waitlist controls. Burnout was measured using the Maslach Burnout Inventory (MBI) at baseline and at the 12-month follow-up. Secondary outcomes include organizational constraints, psychological safety, and supervisor support. Multilevel modeling and qualitative methods were applied to evaluate the effects and process of the intervention. CONCLUSION: By focusing on modifiable work-life factors such as stressors and supervisor support, the check-ins intervention aims to reduce burnout rates among primary care professionals. Findings from this trial will shed light on the conditions upon which check-ins might reduce burnout. Results will also inform policies and interventions aimed at improving mental health and well-being in primary care settings. CLINICALTRIALS: gov: ID NCT05436548.

Promise and Perils of Leader-Employee Check-ins in Reducing Emotional Exhaustion in Primary Care Clinics: Quasi-Experimental and Qualitative Evidence.

OBJECTIVE: To analyze the role of short (<30 minutes) and frequent (quarterly) check-ins between clinic leaders and employees in reducing emotional exhaustion. METHODS: Three interrelated studies were conducted: a 3-year repeated cross-sectional survey at 10 primary care clinics (n=505; we compared emotional exhaustion, perceived stress, and values alignment among employees of a clinic where check-ins were conducted vs 9 control clinics); interviews with leaders and employees (n=10) regarding the check-ins process and experiences; and interviews with leaders and employees (n=10) after replicating the check-ins at a new clinic. RESULTS: Outcomes were similar at baseline. After a year, emotional exhaustion was lower at the check-ins compared with control clinics (standardized mean difference, d, -0.71 [P<.05]). After 2 years, emotional exhaustion remained lower at the check-ins clinic, but this difference was not significant. The check-ins were associated with an increment in values alignment (2018 vs 2017, d=0.59 [P<.05]; 2019 vs 2017, d=0.76 [P<.05]). There were no differences for perceived job stress. Interviews indicated that work-life challenges were discussed in the check-ins. However, employees need confidentiality and to feel safe to do so. The replication suggested that the check-ins are feasible to implement even amid turbulent times. CONCLUSION: Periodic check-ins wherein leaders acknowledge and address work-life stressors might be a practical tactic to reduce emotional exhaustion in primary care clinics.

Effect of ambient sound masking on the accuracy of computerized speech recognition.

PURPOSE: To evaluate the direct effect that sound masking has on computerized speech recognition (SR) accuracy in the digital reading room while eliminating the Lombard effect. MATERIALS AND METHODS: This study complies with HIPAA requirements, and the institutional review board determined that approval was not required; informed consent was obtained. Ten radiologists digitally recorded 20 selected reports. Recorded reports were transcribed by using a commercial SR system at sound-masking levels 1-4, representing lowest to highest A-weighted sound pressure measurements in decibels. Dictated reports were compared with original reports to determine numbers of errors. A repeated-measures analysis of variance was used for overall comparison of mean percentage of transcription inaccuracies across sound-masking levels, and paired t tests were used to compare each sound-masking level to the baseline. RESULTS: Mean percentage of transcription inaccuracies at baseline was 11.6% (range, 6.3%-26.1%). Mean percentages of transcription inaccuracies at sound-masking levels 1-4 were 11.3%, 12.3%, 13.0%, and 13.6%, respectively. Mean percentages of transcription inaccuracies differed across all sound-masking levels (P < .001) but not between baseline and sound-masking level 1 (P = .313). Mean percentages of transcription inaccuracies at sound-masking levels 2-4 were each significantly higher than at baseline (P < .01 for each). CONCLUSION: Low-level sound masking provided slightly but not significantly improved SR accuracy, whereas higher levels decreased transcription accuracy. Appropriate levels of sound masking in reading room environments may decrease the negative effect of ambient noise without a deleterious effect on SR accuracy.

Burnout and EHR use among academic primary care physicians with varied clinical workloads.

Burnout is becoming increasingly prevalent among primary care physicians. Recent studies have attributed electronic health record (EHR) related tasks as a potential source of physician burnout. In this cross-sectional study, EHR use was compared to self-reported burnout for 107 faculty physicians at 10 university-affiliated primary care clinics. Physicians who self-reported burnout spent more time managing their inbox and in the EHR after hours. Burnout was associated with lower rates of same day chart closure, longer completion time for inbox messages, and more incomplete messages. Burnout, while related to overall workload, had a complex relationship with EHR use, which was influenced by but could not wholly explained by clinical workload. Our results suggest that burnout is less prevalent with less allocated clinical time, however, more research is necessary to identify the optimal balance between clinical duties and academic pursuits. Segmenting providers based on relative workload to determine variation within similar groups may help optimize EHR use.

Antimicrobial prescribing practices in response to different Clostridium difficile diagnostic methodologies.

We evaluated treatment decisions and antimicrobial use related to 2 testing algorithms for Clostridium difficile infection (CDI). Our findings suggest that a 2-step testing algorithm using rapid polymerase chain reaction confirmatory testing leads to decreased unnecessary anti-CDI antimicrobial use. In addition, a significant proportion of patients with confirmed CDI were not treated according to recommended guidelines.