Development and Initial Validation of the Shame Frequency Questionnaire in Medical Students.

PURPOSE: This study presents the steps taken to develop and collect initial validity evidence for the Shame Frequency Questionnaire in Medical Students. METHOD: The instrument was based on a 7-step survey design; validity evidence was collected from content, response process, internal structure, and relationship to other variables. A literature review and qualitative interviews led to the design of the initial 16-item scale. Expert review and cognitive interviewing led to minor modifications in the original structure. Initial pilot testing was conducted in August 2019 in Uniformed Services University (USU) medical students; reliability assessment and exploratory factor analysis were performed. The revised 12-item scale was tested in January 2022 in Duke University School of Medicine medical students; reliability assessment, exploratory factor analysis, and correlation analysis with depression, burnout, anxiety, emotional thriving, and emotional well-being were performed. RESULTS: A total of 336 of 678 USU students (50%) and 106 of 522 Duke students (20%) completed the survey. Initial exploratory factor analysis of the USU data revealed 1 factor (shame), and 4 items were dropped from the scale according to predefined rules. Subsequent exploratory factor analysis of the Duke data revealed 1 factor; no further items were removed according to predefined rules. Internal consistent reliability was 0.95, and all interitem correlations were less than 0.85 for USU and Duke samples. As predicted, mean shame scale scores were positively correlated with anxiety (r = 0.54, P < .001), burnout (r = 0.50, P < .001), and depression (r = 0.47, P < .001) and negatively correlated with emotional thriving (r = -0.46, P < .001) and emotional recovery (r = -0.46, P < .001). CONCLUSIONS: The Shame Frequency Questionnaire in Medical Students is a psychometrically sound instrument with strong internal reliability and multisource validity evidence, supporting its use in studying shame in medical students.

Lessons From Low- and Middle-Income Countries: Alleviating the Behavioral Health Workforce Shortage in the United States.

The United States is facing a mental health workforce shortage, exacerbated by the COVID-19 pandemic. Low- and middle-income countries (LMICs) have historically grappled with even greater shortages. Therefore, LMICs have thought creatively about expanding the mental health workforce and the settings in which to deliver evidence-based and equitable mental health care. The authors introduce some mental health interventions in LMICs, describe evidence of the efficacy of these interventions gleaned from this context, and discuss the applicability of these interventions to the United States. The authors also reflect on the benefits and challenges of implementing these interventions in the U.S. mental health care system to alleviate its current workforce shortage.

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

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

The Psychological Safety Scale of the Safety, Communication, Operational, Reliability, and Engagement (SCORE) Survey: A Brief, Diagnostic, and Actionable Metric for the Ability to Speak Up in Healthcare Settings.

OBJECTIVES: The current study aimed to guide the assessment and improvement of psychological safety (PS) by (1) examining the psychometric properties of a brief novel PS scale, (2) assessing relationships between PS and other safety culture domains, (3) exploring whether PS differs by healthcare worker demographic factors, and (4) exploring whether PS differs by participation in 2 institutional programs, which encourage PS and speaking-up with patient safety concerns (i.e., Safety WalkRounds and Positive Leadership WalkRounds). METHODS: Of 13,040 eligible healthcare workers across a large academic health system, 10,627 (response rate, 81%) completed the 6-item PS scale, demographics, safety culture scales, and questions on exposure to institutional initiatives. Psychometric analyses, correlations, analyses of variance, and t tests were used to test the properties of the PS scale and how it differs by demographic factors and exposure to PS-enhancing initiatives. RESULTS: The PS scale exhibited strong psychometric properties, and a 1-factor model fit the data well (Cronbach α = 0.80; root mean square error approximation = 0.08; Confirmatory Fit Index = 0.97; Tucker-Lewis Fit Index = 0.95). Psychological Safety scores differed significantly by role, shift, shift length, and years in specialty. The PS scale correlated significantly and in expected directions with safety culture scales. The PS score was significantly higher in work settings with higher rates of exposure to Safety WalkRounds or Positive Leadership WalkRounds. CONCLUSIONS: The PS scale is brief, diagnostic, and actionable. It exhibits strong psychometric properties; is associated with better safety, teamwork climate, and well-being; differs by demographic factors; and is significantly higher for those who have been exposed to PS-enhancing initiatives.

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.