Introduction: Migration creates new health vulnerabilities and exacerbates pre-existing medical conditions. Migrants often face legal, system-related, administrative, language and financial barriers to healthcare, but little is known about factors that specifically influence migrants' access to medicines and vaccines. This scoping review aims to map existing evidence on access to essential medicines and vaccines among asylum seekers, refugees and undocumented migrants who aim to reach Europe. We will consolidate existing information and analyse the barriers that limit access at the different stages of the migratory phases, as well as policies and practices undertaken to address them.
Methods: We follow the Arksey and O'Malley framework for knowledge synthesis of research, as updated by Levac . For reporting the results of our search and to synthetise evidence, we will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extended reporting guideline for scoping reviews. This scoping review consists of five iterative stages. Bibliographic databases (PubMed, CINAHL, Cochrane Database of Systematic Reviews and Scopus) and grey literature databases (Open Grey, Grey Literature Report and Google Scholar, Web of Science Conference Proceedings, non-governmental organisations and United Nations agency websites) will be searched for relevant studies.
Dissemination And Ethics: This review will be disseminated through a peer-reviewed article in a scientific open-access journal and conference presentations. Furthermore, findings will be shared at workshops of research and operational stakeholders for facilitating translation into research and operational practices. Since it consists of reviewing and collecting data from publicly available materials, this scoping review does not require ethics approval.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743384 | PMC |
Sci Rep
December 2024
Department of Dermatology, Niazi Hospital, Lahore, Pakistan.
With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information.
View Article and Find Full Text PDFJ Pediatr Hematol Oncol
January 2025
Departments of Neurosurgery, Montefiore Medical Center, Albert Einstein College of Medicine.
Spontaneous epidural hematoma (EDH) is a rare sickle cell disease (SCD) complication. We report 3 pediatric cases with SCD and spontaneous EDH and 1 with subgaleal hematomas in the setting of vaso-occlusive crises and elaborate on their presentation and management. Through a scoping review, we identified 71 additional cases reported from 1970 to 2024 and highlighted notable features.
View Article and Find Full Text PDFJAMIA Open
February 2025
Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Objectives: Statistical and artificial intelligence algorithms are increasingly being developed for use in healthcare. These algorithms may reflect biases that magnify disparities in clinical care, and there is a growing need for understanding how algorithmic biases can be mitigated in pursuit of algorithmic fairness. We conducted a scoping review on algorithmic individual fairness (IF) to understand the current state of research in the metrics and methods developed to achieve IF and their applications in healthcare.
View Article and Find Full Text PDFPatient Prefer Adherence
December 2024
Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen, Norway.
Background: As the global population ages, there is increasing pressure on health systems to provide high-quality and cost-effective care for this growing segment of the population. Reablement, primarily a strategic home-based rehabilitation approach, has been demonstrated to be a cost-effective, multidisciplinary, holistic, and person-centred approach to maintaining functional independence as one ages. Given that care delivery in the home setting for older persons is complex, a key feature of effective implementation of reablement is the integration of a multidisciplinary team.
View Article and Find Full Text PDFInt J Nurs Stud Adv
June 2025
Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.
Background: Demoralization is a complex construct comprising of several clinical phenomena that has gained increasing interest in clinical practice and research; however, the concept needs to be sufficiently specified and clearly described. A concept analysis of demoralization is necessary to integrate previous research findings and establish the scientific foundation for future intervention research.
Aim: To analyze the concept of demoralization in terms of its antecedents, attributes, consequences, and empirical referents in health.
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