27 research outputs found

    Development of the cat-owner relationship scale (CORS)

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    Characteristics of the human-animal bond can be influenced by both owner-related and pet-related factors, which likely differ between species. Three studies adapted the Monash Dog-Owner Relationship Scale (MDORS) to permit assessment of human-cat interactions as perceived by the cat's owner. In Study 1293 female cat owners completed a modified version of the MDORS, where 'dog' was replaced with 'cat' for all items. Responses were compared with a matched sample of female dog owners. A partial least squares discriminant analysis revealed systematic differences between cat and dog owners in the Dog (Cat)-Owner Interaction subscale (MDORS subscale 1), but not for Perceived Emotional Closeness or Perceived Costs (Subscales 2 and 3). Study 2 involved analysis of free-text descriptions of cat-owner interactions provided by 61 female cat owners. Text mining identified key words which were used to create additional questions for a new Cat-Owner Interaction subscale. In Study 3, the resulting cat-owner relationship scale (CORS) was tested in a group of 570 cat owners. The main psychometric properties of the scale, including internal consistency and factor structure, were evaluated. We propose that this scale can be used to accurately assess owner perceptions of their relationship with their cat. A modified scale, combining items from the CORS and MDORS (a C/DORS), is also provided for when researchers would find it desirable to compare human-cat and human-dog interactions. (C) 2017 Elsevier B.V. All rights reserved

    Intersection of Bias, Structural Racism, and Social Determinants With Health Care Inequities

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    Structuring Poverty: How Racism Shapes Child Poverty and Child and Adolescent Health

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    Black, Native, and Latinx populations represent the racial and ethnic groups most impacted by poverty. This unequal distribution of poverty must be understood as a consequence of policy decisions-some that have sanctioned violence and others that have created norms-that continue to shape who has access to power, resources, rights, and protections. In this review, we draw on scholarship from multiple disciplines, including pediatrics, public health, environmental health, epidemiology, social and biomedical science, law, policy, and urban planning to explore the central question-What is the relationship between structural racism, poverty, and pediatric health? We discuss historic and present-day events that are critical to the understanding of poverty in the context of American racism and pediatric health. We challenge conventional paradigms that treat racialized poverty as an inherent part of American society. We put forth a conceptual framework to illustrate how white supremacy and American capitalism drive structural racism and shape the racial distribution of resources and power where children and adolescents live, learn, and play, ultimately contributing to pediatric health inequities. Finally, we offer antipoverty strategies grounded in antiracist practices that contend with the compounding, generational impact of racism and poverty on heath to improve child, adolescent, and family health

    The Impact of Cognitive Stressors in the Emergency Department on Physician Implicit Racial Bias

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    ObjectivesThe emergency department (ED) is characterized by stressors (e.g., fatigue, stress, time pressure, and complex decision-making) that can pose challenges to delivering high-quality, equitable care. Although it has been suggested that characteristics of the ED may exacerbate reliance on cognitive heuristics, no research has directly investigated whether stressors in the ED impact physician racial bias, a common heuristic. We seek to determine if physicians have different levels of implicit racial bias post-ED shift versus preshift and to examine associations between demographics and cognitive stressors with bias.MethodsThis repeated-measures study of resident physicians in a pediatric ED used electronic pre- and postshift assessments of implicit racial bias, demographics, and cognitive stressors. Implicit bias was measured using the Race Implicit Association Test (IAT). Linear regression models compared differences in IAT scores pre- to postshift and determined associations between participant demographics and cognitive stressors with postshift IAT and pre- to postshift difference scores.ResultsParticipants (n = 91) displayed moderate prowhite/antiblack bias on preshift (mean Ā± SD = 0.50 Ā± 0.34, d = 1.48) and postshift (mean Ā± SD = 0.55 Ā± 0.39, d = 1.40) IAT scores. Overall, IAT scores did not differ preshift to postshift (mean increase = 0.05, 95% CI = -0.02 to 0.14, d = 0.13). Subanalyses revealed increased pre- to postshift bias among participants working when the ED was more overcrowded (mean increase = 0.09, 95% CI = 0.01 to 0.17, d = 0.24) and among those caring for >10 patients (mean increase = 0.17, 95% CI = 0.05 to 0.27, d = 0.47). Residents' demographics (including specialty), fatigue, busyness, stressfulness, and number of shifts were not associated with postshift IAT or difference scores. In multivariable models, ED overcrowding was associated with greater postshift bias (coefficient = 0.11 per 1 unit of NEDOCS score, SE = 0.05, 95% CI = 0.00 to 0.21).ConclusionsWhile resident implicit bias remained stable overall preshift to postshift, cognitive stressors (overcrowding and patient load) were associated with increased implicit bias. Physicians in the ED should be aware of how cognitive stressors may exacerbate implicit racial bias
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