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Objective: To explore the network structure of common geriatric syndromes and conditions in physically disabled older adults.

Methods: We chose fourteen common geriatric syndromes and conditions from the dataset and estimated networks with the partial correlation network method. We tested the stability and accuracy of the network using the package "bootnet" in R software.

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Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.

Int J Med Inform

January 2025

Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:

Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.

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Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation.

Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda.

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Objective: We aimed to investigate the association of sociodemographic, clinical and functional characteristics with the volume of transitions and specific trajectories across living and care settings.

Methods: Using data from the Swedish National Study on Aging and Care in Kungsholmen study, we identified transitions across home (with or without social care), nursing homes, hospitals and postacute care facilities among 3021 adults aged 60+. Poisson and multistate models were used to investigate the association between sociodemographic, clinical and functional characteristics and both the overall volume and hazard ratios (HRs) of specific transitions.

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Introduction: Accurate measurement is critical for understanding the population health impact of nicotine pouches, yet precise, standardized measures of nicotine pouch use are lacking, possibly driving disparate prevalence estimates across studies. We implemented a split sample survey experiment to assess the impact of including a product image when asking about nicotine pouches.

Methods: We randomized an online sample of US adults ages 18-45 (N=2,130) recruited through the February 2023 wave of the Rutgers Omnibus Study to view either a text-only or text-plus-image description of oral nicotine pouches before being asked about awareness of the products.

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