Large sets of health data can enable innovation and quality measurement but can also create technical challenges and privacy risks. When entities such as health plans and health care providers handle personal health information, they are often subject to data privacy regulation. But amid a flood of new forms of health data, some third parties have figured out ways to avoid some data privacy laws, developing what we call “shadow health records”—collections of health data outside the health system that provide detailed pictures of individual health—that allow both innovative research and commercial targeting despite data privacy rules. Now that space for regulatory arbitrage is changing. The long arms of Europe’s new General Data Protection Regulation (GDPR) and California’s new Consumer Privacy Act (CCPA) will reach shadow health records in many companies. In this article, we lay out the contours of the GDPR’s and CCPA’s impact on shadow health records and health data more broadly, highlight critical remaining uncertainty, and call for increased clarity from lawmakers and industry on the use of such data for research.
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http://dx.doi.org/10.1126/science.aav5133 | DOI Listing |
Drugs Aging
January 2025
Center for Clinical Management Research, VA Ann Arbor Healthcare System, NCRC 016-308E, 2800 Plymouth Rd, Ann Arbor, MI, 48109, USA.
Background: Central nervous system (CNS)-active polypharmacy (defined as concurrent exposure to three or more antidepressant, antipsychotic, antiseizure, benzodiazepine, opioid, or nonbenzodiazepine benzodiazepine receptor agonists) is associated with significant potential harms in persons living with dementia (PLWD).We conducted a pilot trial to assess a patient nudge intervention's implementation feasibility and preliminary effectiveness to prompt deprescribing conversations between PLWD experiencing CNS-active polypharmacy and their primary care clinicians ("clinicians").
Methods: We used the electronic health record to identify PLWD prescribed CNS-active polypharmacy in primary care clinics from two health systems.
World J Urol
January 2025
Department of Urology, Beijing Friendship Hospital, Capital Medical University, No.95 Yongan Road, Xicheng District, Beijing, China.
Objective: To investigate the relationship between the grip strength (GS) and stress urinary incontinence (SUI) after endoscopic enucleation of the prostate (EEP).
Methods: We retrospectively collected 87 patients who underwent EEP at our center from January to December 2023. The associations between GS and post-surgical SUI at immediate, 1, 4, 12 and 24 weeks were analyzed.
Rural Ment Health
October 2024
Department of Biostatistics, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.
Rural/urban disparities in cocaine use treatment are commonly attributed to variations in social epidemiological constructs, such as socioeconomic status and well-being, social capital and support, and discrimination, as well as health care attitudes and health beliefs. This study examined whether these factors mediate rural vs. urban disparities in perceived need for cocaine use treatment, a concept closely linked to treatment utilization.
View Article and Find Full Text PDFInt J Eat Disord
January 2025
SEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Objective: Artificial intelligence (AI) could revolutionize the delivery of mental health care, helping to streamline clinician workflows and assist with diagnostic and treatment decisions. Yet, before AI can be integrated into practice, it is necessary to understand perspectives of these tools to inform facilitators and barriers to their uptake. We gathered data on clinician and community participant perspectives of incorporating AI in the clinical management of eating disorders.
View Article and Find Full Text PDFInt J Equity Health
January 2025
Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.
Background: Although the Chronic Care Model (CCM) provides the essential structural components of practice organisation to deliver high-quality type 2 diabetes (T2D) care, little is known about which of its elements are most important, and the extent to which it may reduce social inequities in the quality of T2D care. This study aims to assess the association between the implementation of CCM's structural elements and the quality of T2D care processes and outcomes in Flanders (Belgium), paying specific attention to differences by patients' socioeconomic vulnerability.
Methods: We developed a longitudinal database combining information on primary care practices' CCM implementation, with individual-level health insurance and medical lab data.
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