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| http://dx.doi.org/10.1177/0018578720946761 | DOI Listing |
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Each month, subscribers to receive 5 to 6 well-documented monographs on drugs that are newly released or are in late phase 3 trials. The monographs are targeted to Pharmacy and Therapeutics Committees. Subscribers also receive monthly 1-page summary monographs on agents that are useful for agendas and pharmacy/nursing in-services.
View Article and Find Full Text PDFBias in mobility datasets drives divergence in modeled outbreak dynamics.
Commun Med (Lond)
January 2025
Department of Demography, University of California, Berkeley, California, USA.
Background: Digital data sources such as mobile phone call detail records (CDRs) are increasingly being used to estimate population mobility fluxes and to predict the spatiotemporal dynamics of infectious disease outbreaks. Differences in mobile phone operators' geographic coverage, however, may result in biased mobility estimates.
Methods: We leverage a unique dataset consisting of CDRs from three mobile phone operators in Bangladesh and digital trace data from Meta's Data for Good program to compare mobility patterns across these sources.
Evaluating the 3-month post-intervention impact of a supportive text message program on mental health outcomes during the 2023 wildfires in Alberta and Nova Scotia, Canada.
Front Public Health
January 2025
Department of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.
Article Synopsis
- Individuals exposed to wildfires can develop mental health issues, but supportive text interventions may help mitigate these effects over time.
- The study focused on evaluating a text message support service (Text4Hope) over three months in Alberta and Nova Scotia after the 2023 wildfires, involving participants who completed surveys to assess their mental health before and after the intervention.
- Results indicated significant improvements in wellbeing and reductions in symptoms of depression, anxiety, and PTSD, suggesting the effectiveness of text message support in promoting mental health resilience after disasters.
Experience of People with Diabetes Treated with Insulin Delivery Systems in France: A Comparative Analysis of Multiple Daily Injections, Tubeless Pumps, Tubed Pumps, and Hybrid Closed Loops.
Diabetes Ther
December 2024
IMMEDIAB Laboratory, Institut Necker Enfants Malades, INSERM U1151, CNRS, UMR 8253, Paris, France.
Introduction: While people with diabetes (PWD)'s experiences with their insulin delivery systems (IDS) are frequently reported in clinical trials, few real-world data exist on the subject. This study aimed to assess the real-world experience and satisfaction with IDS in PWD.
Methods: This cross-sectional survey of PWD treated with tubed or tubeless insulin pumps, hybrid closed loop (HCL) systems, or multiple daily injections (MDI) for at least 3 months ran from 4 to 16 May 2023.
Harnessing Digital Initiatives for Improved Health Outcomes in Diabetes Management: An Observational Patient Program.
Cureus
November 2024
Medical Affairs, AstraZeneca Pharma India Ltd, Bangalore, IND.
Introduction: Patients with diabetes have easy access to a wide range of digital applications that may help with self-management and lower barriers; however, robust evidence of their effectiveness remains somewhat elusive. Zyla is a medical artificial intelligence (AI)-based personalized care management app that assists the treating physician in improving the standard of patient care by offering the patients comprehensive and individualized care. This preliminary evaluation of data collected through the Zyla app aims to understand the impact of diabetes disease outcomes among patients subscribed to this app.
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