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Evaluation of a peer support group programme for vulnerable host population and refugees living with diabetes and/or hypertension in Lebanon: a before-after study.
Confl Health
January 2025
London School of Hygiene and Tropical Medicine, Department of Non-Communicable Diseases Epidemiology, Keppel street, London, WC1E 7HT, UK.
Background: Non-communicable diseases (NCDs) are the leading cause of death globally, and many humanitarian crises occur in countries with high NCD burdens. Peer support is a promising approach to improve NCD care in these settings. However, evidence on peer support for people living with NCDs in humanitarian settings is limited.
View Article and Find Full Text PDFDevelopment and application of a clinical core data set for deep brain stimulation in Parkinson's disease, dystonia or tremor: from data collection to data exchange and data sharing.
Neurol Res Pract
January 2025
Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Background: Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.
Methods: The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study.
The parental care-seeking behavior of children with osteogenesis imperfecta based on the Anderson's model: a qualitative study.
BMC Nurs
January 2025
Department of Orthopedic, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study aims to analyze the medical-seeking behavior of Osteogenesis Imperfecta(OI) children in Southwest China, summarize and analyze the issues in their medical process, and propose corresponding improvement strategies.
Methods: A phenomenological study involving semi-structured interviews with 20 OI caregivers at a tertiary centre for children from March to August 2021 was analyzed thematically, following Anderson's model.
Results: We identified eight themes in the data: 1)Regional disparities of OI management, 2)Big economic burden, 3)High-risk population, 4)Lack of health education, 5)Multiple treatments,6)Strict treatment indications,7)Disappointing therapeutic outcomes,8)Effective or ineffective treatment results.
Evaluation of undergraduate forensic medicine education in Nepal: a critical analysis using Schwab's five commonplaces and Schubert's curriculum images.
BMC Med Educ
January 2025
Department of Forensic Medicine, Karnali Academy of Health Sciences, Chandannath, Jumla, 21200, Nepal.
Following the establishment of Nepal's first medical college in 1972, forensic medicine was introduced in 1978. To date, 25 medical colleges in the country have included forensic medicine as a compulsory subject in the undergraduate medical curriculum. Although this subject has been introduced into the medical curriculum, the outcome is unsatisfactory, as reflected by the poor medico-legal reports prepared by newly graduated medical students.
View Article and Find Full Text PDFExplore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
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