Browsing by Subject "Attitude of health personnel"

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    Acceptance of Automated Social Risk Scoring in the Emergency Department: Clinician, Staff, and Patient Perspectives
    (University of California, 2024) Mazurenko, Olena; Hirsh, Adam T.; Harle, Christopher A.; McNamee, Cassidy; Vest, Joshua R.; Health Policy and Management, Richard M. Fairbanks School of Public Health
    Introduction: Healthcare organizations are under increasing pressure from policymakers, payers, and advocates to screen for and address patients' health-related social needs (HRSN). The emergency department (ED) presents several challenges to HRSN screening, and patients are frequently not screened for HRSNs. Predictive modeling using machine learning and artificial intelligence, approaches may address some pragmatic HRSN screening challenges in the ED. Because predictive modeling represents a substantial change from current approaches, in this study we explored the acceptability of HRSN predictive modeling in the ED. Methods: Emergency clinicians, ED staff, and patient perspectives on the acceptability and usage of predictive modeling for HRSNs in the ED were obtained through in-depth semi-structured interviews (eight per group, total 24). All participants practiced at or had received care from an urban, Midwest, safety-net hospital system. We analyzed interview transcripts using a modified thematic analysis approach with consensus coding. Results: Emergency clinicians, ED staff, and patients agreed that HRSN predictive modeling must lead to actionable responses and positive patient outcomes. Opinions about using predictive modeling results to initiate automatic referrals to HRSN services were mixed. Emergency clinicians and staff wanted transparency on data inputs and usage, demanded high performance, and expressed concern for unforeseen consequences. While accepting, patients were concerned that prediction models can miss individuals who required services and might perpetuate biases. Conclusion: Emergency clinicians, ED staff, and patients expressed mostly positive views about using predictive modeling for HRSNs. Yet, clinicians, staff, and patients listed several contingent factors impacting the acceptance and implementation of HRSN prediction models in the ED.
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    Public and professional attitudes regarding pandemic influenza preparedness - 2008: survey of methods and findings
    (2008-08-27T17:27:21Z) Wolf, James G.; Sidenbender, Sharon; Jollif, Anne
    Public health officials throughout the world must develop policies to address emergency needs that will occur during an influenza epidemic. These same health officials must also address the many ethical implications that arise from making these decisions. In the Spring of 2008 the Survey Research Center at IUPUI (SRC) conducted a series of three surveys designed to better understand public and professional attitudes regarding preparedness for an influenza pandemic. The survey project was part of a larger initiative funded by the Indiana State Department of Health with funds from the Centers for Disease Control and Prevention. This initiative was coordinated by the Indiana University Center for Bioethics under contract with the Indiana State Department of Health as a part of the project “Translating Ethics Advice into Practice: Public and Professional Outreach about Pandemic Influenza Planning in Indiana.”