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A conceptual framework for identifying and managing system vulnerabilities for diversion of controlled substances in healthcare.

Res Social Adm Pharm

January 2025

Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, Suite 425, Toronto, Ontario, M5T 3M6, Canada; Research & Innovation, North York General Hospital, 4001 Leslie Street, Toronto, Ontario, M2K 1E1, Canada.

Purpose: Diversion or theft of controlled substances is a recognized problem affecting healthcare systems globally. The purpose of this study was to develop a framework for identifying and characterizing system factors leading to vulnerabilities for diversion within hospitals.

Methods: We applied a qualitative framework method, which involved 1) compiling a list of critical diversion vulnerabilities through observations and proactive risk analyses in the inpatient pharmacy, emergency department and intensive care unit of two Canadian hospitals; 2) coding the vulnerabilities into deductively and inductively derived themes and subthemes; and 3) building a conceptual framework.

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ESMO Global Consortium Study on the availability, out-of-pocket costs, and accessibility of cancer medicines: 2023 update.

Ann Oncol

January 2025

Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Background: The availability and affordability of safe, effective cancer therapies are core requirements for effective cancer control. Global disparities exist in access, however, yielding unequal cancer outcomes. The goal of this study was to provide updated data regarding the formulary availability, out-of-pocket costs, and accessibility of cancer medicines in countries across the full spectrum of economic development areas.

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For tolerant containment control of multi-agent systems, considering the challenges in modeling and the impact of actuator faults on system security and reliability, a finite index dynamic event-triggered policy iteration algorithm is proposed. This algorithm only requires input and output data, without relying on system models, and simultaneously considers the faults and energy consumption issues to improve the system reliability and save energy consumption. The conditions are provided to demonstrate the convergence and optimality of the algorithm, including a convergence speed, that is, the number of iterations required for convergence is finite.

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Background: Persons with intellectual and/or developmental disabilities (IDD) are a growing population, frequently living with complex health conditions and unmet healthcare needs. Traditional clinical practice and research methods and measures may require adaptation to reflect their preferences.

Objective: The perspectives of people with IDD, caregivers/partners, and clinicians were obtained to provide insight into factors contributing to the health and wellness of people with IDD.

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Controlling hypertension has become an important issue in the elderly population in whom neurological comorbidities are highly prevalent. Most of the large-scale trials focusing on hypertension management in older populations have excluded patients with comorbid neurological disorders. However, this population requires special considerations, as the benefits of antihypertensive agents are mostly uncertain and there is a higher risk of adverse events.

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