COVID-19 Case Investigation and Contact Tracing in Central Washington State, June-July 2020.

OBJECTIVE: To evaluate participation in COVID-19 case investigation and contact tracing in central Washington State between June 15 and July 12, 2020. METHODS: In this retrospective observational evaluation we combined SARS-CoV-2 RT-PCR and antigen test reports from the Washington Disease Reporting System with community case investigation and contact tracing data for 3 health districts (comprising 5 counties) in central Washington State. All 3 health districts have large Hispanic communities disproportionately affected by COVID-19. RESULTS: Investigators attempted to call all referred individuals with COVID-19 (n = 4,987); 71% were interviewed. Of those asked about close contacts (n = 3,572), 68% reported having no close contacts, with similar proportions across ethnicity, sex, and age group. The 968 individuals with COVID-19 who named specific contacts (27% of those asked) reported a total of 2,293 contacts (mean of 2.4 contacts per individual with COVID-19); 85% of listed contacts participated in an interview. CONCLUSIONS: Most individuals with COVID-19 reported having no close contacts. Increasing community engagement and public messaging, as well as understanding and addressing barriers to participation, are crucial for CICT to contribute meaningfully to controlling the SARS-CoV-2 pandemic.

Health Disparities in Veterans: A Map of the Evidence.

BACKGROUND: Goals for improving the quality of care for all Veterans and eliminating health disparities are outlined in the Veterans Health Administration Blueprint for Excellence, but the degree to which disparities in utilization, health outcomes, and quality of care affect Veterans is not well understood. OBJECTIVES: To characterize the research on health care disparities in the Veterans Health Administration by means of a map of the evidence. RESEARCH DESIGN: We conducted a systematic search for research studies published from 2006 to February 2016 in MEDLINE and other data sources. We included studies of Veteran populations that examined disparities in 3 outcome categories: utilization, quality of health care, and patient health. MEASURES: We abstracted data on study design, setting, population, clinical area, outcomes, mediators, and presence of disparity for each outcome category. We grouped the data by population characteristics including race, disability status, mental illness, demographics (age, era of service, rural location, and distance from care), sex identity, socioeconomic status, and homelessness, and created maps illustrating the evidence. RESULTS: We reviewed 4249 citations and abstracted data from 351 studies which met inclusion criteria. Studies examining disparities by race/ethnicity comprised by far the vast majority of the literature, followed by studies examining disparities by sex, and mental health condition. Very few studies examined disparities related to lesbian, gay, bisexual, or transgender identity or homelessness. Disparities findings vary widely by population and outcome. CONCLUSIONS: Our evidence maps provide a "lay of the land" and identify important gaps in knowledge about health disparities experienced by different Veteran populations.

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.