Introduction: Gypsy, Roma and Traveller communities are subjected to a specific form of racism fuelled by deep-seated prejudice and stereotypes. These groups have historically been the victims of school segregation, forced assimilation policies, hate speech and hate crimes.Persecution and displacement have resulted in high rates of unemployment, reduced access to education and poorer health in general, which places these groups at significantly increased risk of poverty. In pregnancy, they are at increased risk of adverse obstetric outcomes. There is a gap in the literature surrounding the experiences and outcomes of pregnant women within this group. A scoping review was chosen as the appropriate methodology to identify what is known about the experiences and outcomes of pregnant women in these communities.
Methods And Analysis: The Levac guideline on conducting a scoping review will be followed. This six-step approach includes identification of the research question, identification of relevant studies, selection of studies, charting of data, summary of results and consultation with experiential experts. A comprehensive search of the following electronic databases from 1980 to 2021 will be conducted: CINAHL, Embase, MEDLINE, Scopus and Web of Science. Relevant grey literature and reference lists will also be searched. The Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) tool will be used.
Ethics And Dissemination: Ethical approval was not required for this protocol as all literature within this scoping review are publicly available. To facilitate dissemination of findings, the research team will present the findings to key stakeholders working with Gypsy, Roma and Traveller communities.
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http://dx.doi.org/10.1136/bmjopen-2021-057788 | DOI Listing |
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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