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Background: Individuals from minoritized racial and ethnic backgrounds experience pernicious and pervasive health disparities that have emerged, in part, from clinician bias. Objective: We used a natural language processing approach to examine whether linguistic markers in electronic health record (EHR) notes differ based on the race and ethnicity of the patient. To validate this methodological approach, we also assessed the extent to which clinicians perceive linguistic markers to be indicative of bias. Methods: In this cross-sectional study, we extracted EHR notes for patients who were aged 18 years or older; had more than 5 years of diabetes diagnosis codes; and received care between 2006 and 2014 from family physicians, general internists, or endocrinologists practicing in an urban, academic network of clinics. The race and ethnicity of patients were defined as White non-Hispanic, Black non-Hispanic, or Hispanic or Latino. We hypothesized that Sentiment Analysis and Social Cognition Engine (SEANCE) components (ie, negative adjectives, positive adjectives, joy words, fear and disgust words, politics words, respect words, trust verbs, and well-being words) and mean word count would be indicators of bias if racial differences emerged. We performed linear mixed effects analyses to examine the relationship between the outcomes of interest (the SEANCE components and word count) and patient race and ethnicity, controlling for patient age. To validate this approach, we asked clinicians to indicate the extent to which they thought variation in the use of SEANCE language domains for different racial and ethnic groups was reflective of bias in EHR notes. Results: We examined EHR notes (n=12,905) of Black non-Hispanic, White non-Hispanic, and Hispanic or Latino patients (n=1562), who were seen by 281 physicians. A total of 27 clinicians participated in the validation study. In terms of bias, participants rated negative adjectives as 8.63 (SD 2.06), fear and disgust words as 8.11 (SD 2.15), and positive adjectives as 7.93 (SD 2.46) on a scale of 1 to 10, with 10 being extremely indicative of bias. Notes for Black non-Hispanic patients contained significantly more negative adjectives (coefficient 0.07, SE 0.02) and significantly more fear and disgust words (coefficient 0.007, SE 0.002) than those for White non-Hispanic patients. The notes for Hispanic or Latino patients included significantly fewer positive adjectives (coefficient -0.02, SE 0.007), trust verbs (coefficient -0.009, SE 0.004), and joy words (coefficient -0.03, SE 0.01) than those for White non-Hispanic patients. Conclusions: This approach may enable physicians and researchers to identify and mitigate bias in medical interactions, with the goal of reducing health disparities stemming from bias.
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Amidst the COVID-19 pandemic and resulting economic instability, many people are contending with financial insecurity. Guided by Conservation of Resources Theory (Hobfoll, American Psychologist 44:513-524, 1989; Hobfoll et al., Annual Review of Organizational Psychology and Organizational Behavior 5:103-128, 2018), the current research explores the consequences of experiencing financial insecurity during a pandemic, with a focus on individuals who report relatively higher rates of financial insecurity, performance challenges, and stress during such experiences: working parents (American Psychological Association, 2022). This research also examines the role that personal resources, in the form of trait resiliency, play in the relationships between financial insecurity and behavioral and psychological outcomes including worrying, proactive behaviors, and stress. In a study of 636 working parents and their children, we find that financial insecurity heightens worrying, underscoring the threatening nature of the loss or anticipated loss of material resources. Worrying, in turn, promotes proactive behaviors at work-an effect that is more pronounced among high-resiliency individuals. However, worrying is also associated with elevated stress among high-resiliency individuals, providing support for a trait activation perspective (rather than buffering hypotheses) on ongoing, uncontrollable adversities. Taken together, our results help to (1) illuminate the impact of financial insecurity on work and well-being, (2) reveal a mechanism (i.e., worrying) that helps explain the links between financial insecurity and work and personal outcomes, and (3) expand our knowledge of the implications trait resiliency has for both psychological and behavioral reactions to ongoing crises.
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This research extends the group engagement model (GEM) to examine how fairness judgments implicate both organizational-level and individual-level outcomes, including patient health and satisfaction (i.e., patient health outcomes) and employee health. Based on the social identity arguments of the GEM, we argue that fair career advancement procedures at the organizational level and experiences of discrimination at the individual level are indicators of identity-based evaluations of fairness. Utilizing annual staff survey data from the National Health Service (NHS) in the U.K. (n = 147 hospitals with n = 60,602 employees), we observe that organizational fairness of career advancement procedures significantly relates to patient health through the hospital-level mediator, employee voice. Individual fairness of an employee's personal experience with discrimination significantly relates to employee health through the individual-level mediator, psychological safety. Results support the three-stage indirect effect from organizational-level fairness to employee health via individual-level fairness and individual-level psychological safety. In supplemental studies, measurement limitations are addressed through multitrait multimethod matrix and content validation approaches. These results indicate that the archival NHS measures sufficiently operationalize the constructs of interest providing further support for the hypothesized model. The theoretical and practical implications of this work for multilevel conceptualizations of fairness and healthcare organizations are presented. (PsycInfo Database Record (c) 2022 APA, all rights reserved).