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| http://dx.doi.org/10.2105/AJPH.2016.303207 | DOI Listing |
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Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.
J Am Med Inform Assoc
January 2025
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27708, United States.
Objectives: This study aims to improve the ethical use of machine learning (ML)-based clinical prediction models (CPMs) in shared decision-making for patients with kidney failure on dialysis. We explore factors that inform acceptability, interpretability, and implementation of ML-based CPMs among multiple constituent groups.
Materials And Methods: We collected and analyzed qualitative data from focus groups with varied end users, including: dialysis support providers (clinical providers and additional dialysis support providers such as dialysis clinic staff and social workers); patients; patients' caregivers (n = 52).
COVID-19 as Cause versus Trigger for the Collapse of Capitalism.
Int J Health Serv
April 2021
Department of Sociology and Health Sciences Center, 1104University of New Mexico, Albuquerque, New Mexico, USA.
According to the official narrative of COVID-19, the pandemic has caused the global capitalist economy to collapse, or at least to enter a deep recession and possibly a great depression. Assigning blame to a virus takes attention away from the structural contradictions and instabilities of capitalism that would have led to a crash in any case. This narrative also helps justify non-evidence-based public health policies, including lockdowns, travel bans, closed schools and factories, and forced quarantines of large populations rather than individuals and clustered groups who harbor the infection.
View Article and Find Full Text PDFWaitzkin Responds.
Am J Public Health
June 2016
Howard Waitzkin is with the Department of Sociology, University of New Mexico, Albuquerque, and the Department of Medicine, University of Illinois, Rockford.
Medication monitoring and drug testing ethics project.
J Opioid Manag
May 2015
Catawba Consulting, Floyd, Virginia.
In 2012, Duke University initiated a research project, funded by an unrestricted research grant from Millennium Laboratories, a drug testing company. The project focused on assessing the frequency and nature of questionable, unethical, and illegal business practices in the clinical drug testing industry and assessing the potential for establishing a business code of ethics. Laboratory leaders, clinicians, industry attorneys, ethicists, and consultants participated in the survey, were interviewed, and attended two face-to-face meetings to discuss a way forward.
View Article and Find Full Text PDFMedicaid managed care for mental health services: the survival of safety net institutions in rural settings.
Qual Health Res
September 2008
Behavioral Health Research Center of the Southwest, Pacific Institute for Research and Evaluation, Albuquerque, New Mexico, USA.
Few accounts document the rural context of mental health safety net institutions (SNIs), especially as they respond to changing public policies. Embedded in wider processes of welfare state restructuring, privatization has transformed state Medicaid systems nationwide. We carried out an ethnographic study in two rural, culturally distinct regions of New Mexico to assess the effects of Medicaid managed care (MMC) and the implications for future reform.
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