Background: Transitions to patient-centered health care, the increasing complexity of care, and growth in self-management have all increased the frequency and intensity of clinical services provided outside office settings and between visits. Understanding how electronic messaging, which is often used to coordinate care, affects care is crucial. A taxonomy for codifying clinical text messages into standardized categories could facilitate content analysis of work performed or enhanced via electronic messaging.
Objective: To codify electronic messages exchanged among the primary care providers and the staff managing diabetes patients at an academic medical center.
Research Design: Retrospective analysis of 27,061 electronic messages exchanged among 578 providers and staff caring for a cohort of 639 adult primary care patients with diabetes between April 1, 2003 and October 31, 2003.
Subjects: Providers and staff using locally developed electronic messaging in an academic medical center's adult primary care clinic.
Measures: Raw data included clinical text message content, message ID, thread ID, and user ID. Derived measures included user job classification, 35 flags codifying message content, and a taxonomy grouping the flags.
Results: Messages contained diverse content: communications with patients, families, and other providers (47.2%), diagnoses (25.4%), documentation (33%), logistics and support functions (29.6%), medications (32.9%), and treatments (28.9%). All messages could be classified; 59.5% of messages addressed 2 or more content areas.
Conclusions: Systematic content analysis of provider and staff electronic messages yields specific insight regarding clinical and administrative work carried out via electronic messaging.
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http://dx.doi.org/10.1097/MLR.0b013e318148490c | DOI Listing |
Drug Alcohol Depend
December 2024
Center for Tobacco Control Research and Education, University of California San Francisco, 95 Kirkham Street Box 1361, San Francisco, CA 94143, United States.
Unlabelled: Use of electronic cigarette (vaping) devices, whether to inhale nicotine, cannabis, or other substances, may pose health risks to adolescents. Those risks could be heightened when a vaping device is "fake," a term we use to include inauthentic, knockoff, counterfeit, and/or adulterated devices, an issue exemplified by the Electronic Cigarette, or Vaping, Product Use-Associated Lung Injury (EVALI) outbreak of 2019-2020.
Methods: Investigators completed in-depth, semi-structured interviews in 2020-2021 with 47 California adolescents (ages 13-17) who used nicotine products.
Neural Netw
December 2024
School of Computer Science, Wuhan University, Luojiashan Road, Wuchang District., Wuhan, 430072, Hubei Province, China; Hubei Key Laboratory of Digital Finance Innovation, Hubei University of Economics, No. 8, Yangqiaohu Avenue, Zanglong Island Development Zone, Jiangxia District, Wuhan, 2007, Hubei Province, China. Electronic address:
The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.
View Article and Find Full Text PDFJ Subst Use Addict Treat
December 2024
College of Social Work, University of Kentucky, United States of America.
Background: Two scientific and clinical challenges for treating cannabis use disorder (CUD) are developing efficacious treatments with high likelihood of uptake and scalability, and testing the clinical mechanisms by which treatments work. Because young adults experience more CUD than other age groups, a need exists to test the efficacy and hypothesized causal pathways of novel treatments for CUD. Text-delivered treatments have the potential to reach young adults by increasing access and perceived privacy.
View Article and Find Full Text PDFFront Psychol
December 2024
Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania.
Background: Digital interventions present potential solutions for aftercare and relapse prevention in anxiety and depressive disorders. This systematic review synthesizes evidence on the efficacy of internet- and mobile-based interventions for post-acute care in these conditions.
Methods: A systematic search was conducted in electronic databases (MEDLINE, CENTRAL, Scopus, Web of Science, PsycINFO, PsycARTICLES, PsycEXTRA, ProQuest Dissertations and Theses Open, Open Access Theses and Dissertations, and Open Grey) for randomized controlled trials evaluating digital aftercare or relapse prevention interventions for adults with anxiety or depressive disorders.
Vaccine
December 2024
Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore.
Background: Trust in governments has been decreasing in recent years, especially during the Covid-19 pandemic, where low-trust societies showed reduced compliance with disease control measures. Few studies have examined how trust in authorities changed over the pandemic. This study investigated the trajectory of public trust in the Singapore government's vaccine recommendations during this period.
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