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Introduction: Inappropriate antibiotic use in (primary healthcare, PHC) settings fuels antimicrobial resistance (AMR), threatens patient safety and burdens healthcare systems. Patients' knowledge, attitudes, motivations and expectations play a crucial role in antibiotic use behaviour, especially in low-income and middle-income countries including South Africa. There is a need to ensure measures of antibiotic use, interventions and future guidance reflect cultural, community and demographic issues associated with patient views to reduce inappropriate use of antibiotics and associated AMR. The objective of this scoping review is to identify key themes surrounding knowledge, attitudes, motivations and expectations among patients and community members regarding antimicrobial use in PHC settings especially in low-income and middle-income countries.
Methods And Analysis: This scoping review employs a comprehensive search strategy across multiple electronic databases, including OVID, Medline, PubMed and CINHAL, to identify studies addressing patients or community members seeking care at PHC facilities and exploring key drivers of antimicrobial use. The Covidence web-based platform will be used for literature screening and data extraction and the Critical Appraisal Skills Programme qualitative checklist will assess the quality of qualitative papers. Anticipated results will provide an overview of the current evidence base, enabling identification of knowledge gaps. A narrative synthesis of findings will summarise key themes and patterns in patients' knowledge, attitudes, motivations and expectations related to antibiotic use across studies while considering methodological diversity and limitations.
Ethics And Dissemination: Ethics approval is not required for this scoping review. The findings of this scoping review will be disseminated through publication in a peer-reviewed journal, presentation at relevant conferences and workshops, and collaboration with policy-makers and healthcare stakeholders.
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http://dx.doi.org/10.1136/bmjopen-2024-088769 | DOI Listing |
J Med Internet Res
September 2025
Department of Information Systems and Cybersecurity, The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, United States, 1 (210) 458-6300.
Background: Adverse drug reactions (ADR) present significant challenges in health care, where early prevention is vital for effective treatment and patient safety. Traditional supervised learning methods struggle to address heterogeneous health care data due to their unstructured nature, regulatory constraints, and restricted access to sensitive personal identifiable information.
Objective: This review aims to explore the potential of federated learning (FL) combined with natural language processing and large language models (LLMs) to enhance ADR prediction.
JMIR Ment Health
September 2025
Department of Psychology, University of California, Los Angeles, 1285 Franz Hall, Box 951563, Los Angeles, CA, 90095, United States, 1 3107941262.
Background: Youth mental health issues have been recognized as a pressing crisis in the United States in recent years. Effective, evidence-based mental health research and interventions require access to integrated datasets that consolidate diverse and fragmented data sources. However, researchers face challenges due to the lack of centralized, publicly available datasets, limiting the potential for comprehensive analysis and data-driven decision-making.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Mental and behavioral disorders affect approximately 28% of the adult population in Germany per year, with treatment being provided through a diverse health care system. Yet there are access and capacity problems in outpatient mental health care. One innovation that could help reduce these barriers and improve the current state of care is the use of mobile health (mHealth) apps, known in Germany as Digitale Gesundheitsanwendungen (DiGA).
View Article and Find Full Text PDFJ Speech Lang Hear Res
September 2025
School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia.
Purpose: The purpose of this scoping review was to map and summarize currently available evidence about optimal dosage of recasting for developmental language disorder (DLD).
Method: A systematic search of databases was completed, including Web of Science, Medline via OvidSP, PsycINFO, Cochrane Library, and Scopus. The inclusion criteria comprised the involvement of DLD intervention, the use of recasting alone or predominantly, and systematic manipulation of one or more dosage characteristics of recasting with the remaining parameters consistent across groups.
JBJS Rev
September 2025
Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
» There is wide variability in the measurement tools used to assess socioeconomic deprivation status (SDS) in orthopaedic trauma research, including single-item, multi-item, and area-based indices.» Area-based SDS measures are commonly used because they can be readily linked to geographic identifiers in administrative data; however, they are limited by ecological fallacy and may misclassify individual-level socioeconomic status.» The lack of standardization in SDS measurement limits comparability across studies, highlighting the need for core measurement domains to support equity-focused research.
View Article and Find Full Text PDF