5 research outputs found
Assessment of Mental Health Stigma Components of Mental Health Knowledge, Attitudes and Behaviors Among Jordanian Healthcare Providers.
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Assessment of Mental Health Stigma Components of Mental Health Knowledge, Attitudes and Behaviors Among Jordanian Healthcare Providers.
No full textHealth care providers (HCPs) stigma perception can determine their behaviors and attitudes toward providing mental health services. This study aimed to assess stigma components of knowledge, attitude, and behavior among HCPs in Jordan. A cross sectional descriptive study using a convenience sample of 541 HCPs utilized. The Mental Health Knowledge Schedule (MAKS), the Mental Illness: Clinicians Attitudes Scale (MICA) and the Reported and Intended Behavior Scale (RIBS) were used to evaluate HCPs perceived stigma. Mean scores on RIBS were lowest and at mid-point for MAKS and MICA. Results revealed significantly that HCPs perceived stigma demonstrated in greater negative attitudes correlated with less knowledge (r = .18, .17; p = .01, .009) for both physicians and nurses. And between attitudes and reported intended behavior (r = .13, p = .025) among nurses. This make them less likely to deal with mental health problems in primary healthcare centers. The reported stigma in this context is possibly due to lack of training, inadequate experience, and cultural dynamics. Indeed, awareness programs are important to prepare those HCPs to provide mental health care in these settings shall they are asked to
Gastronomía Garífuna: Preparación y Consumo del Bami o Ereba
No full textThis article contains part of the results of a gastronomical investigation about the bami or ereba, a typical dish whose elaboration is part of the garifuna culinary tradition and identity. Through interviews with cultural carriers and the discussion of the topic in a focal group, the author collected information about the ancestral instruments and the ones presently used in its elaboration; the ingredients, form and time for its preparation and preservation; the way of transmitting the recipe; causes of the decrease of its preparation; forms of promoting its consumption and some proposals for its revitalization. DOI: http://dx.doi.org/10.5377/wani.v67i0.1884Este artículo contiene parte de los resultados de una investigación gastronómica sobre el bami o ereba, un platillo típico cuya elaboración forma parte de la tradición culinaria e identidad garífuna. Mediante entrevistas con portadores culturales y la discusión sobre el tema en un grupo focal, la autora recogió información sobre los instrumentos ancestrales y los utilizados actualmente en su elaboración; los ingredientes, forma y tiempo empleado para la preparación y vencimiento; la manera de transmitir su elaboración; causas del decrecimiento en la elaboración del bami; formas de promover su consumo, y algunas propuestas para su revitalización.Garifuna balna plun kakaswa satni kidika: ampat Bami awaskat Ereba atwa kidi yamwi didiwa kidika. Akat ulwi yakna stadi munwi laihwi tatalna dai kidi garifuna balna plun kakaswa satni kidika dawak Bami awaskat Ereba yulni kidika, adika kuduh sara puyuni plun ni satni as ki, adika plun ni ridi yamnin lani kidika garifuna balna sara puyuni kaupak plun ni aihwa as kapat duduwi,.Adika muihni balna ampat yalalahwa kidi yulni amanglalawa muihni balna dawak stadi munwi laihwi tatalyang muihni balna aslah kalalahna balna karak bik yulbauwi tatalna usnit yakat adika ulwi yakna daniwan kidi yul mahni ulwi duna dai, sara puyuni kau adika plun ni ampat yus mumunwa dai kidi dawak waradi ampat adi plun ni kidi ridi yayamwa kidi yulni, baisa auhni yamnin atwi ais ais ahawa kidi, dawak taim ampus diswa kidi adika plun ni yamwi, kaput bik ais puyuni kat adika plun ni daukalwa kidika, kaut bik ampat muih balna kau yamwi niningna kanin kidika, dawak bami awaskat ereba plun ni kidi ais yulni tanit kau sip barakwi kiwas kidi, muih balna kau baisa kalawa kat kakaswa atnin lani, dawak baisa tanit kau barakwi kiunin sinsni lani balna ulwi yaknin.DOI: http://dx.doi.org/10.5377/wani.v67i0.188
Global Research Trends, Hotspots, Impacts, and Emergence of Artificial Intelligence and Machine Learning in Health and Medicine: A 25-Year Bibliometric Analysis
No full textBackground/Objectives: The increasing application of artificial intelligence (AI) and machine learning (ML) in health and medicine has attracted a great deal of research interest in recent decades. This study aims to provide a global and historical picture of research concerning AI and ML in health and medicine. Methods: We used the Scopus database for searching and extracted articles published between 2000 and 2024. Then, we generated information about productivity, citations, collaboration, most impactful research topics, emerging research topics, and author keywords using Microsoft Excel 365 and VOSviewer software (version 1.6.20). Results: We retrieved a total of 22,113 research articles, with a notable surge in research activity in recent years. Core journals were Scientific Reports and IEEE Access, and core institutions included Harvard Medical School and the Ministry of Education of the People’s Republic of China, while core countries comprised the United States, China, India, the United Kingdom, and Saudi Arabia. Citation trends indicated substantial growth and recognition of AI’s and ML impact on health and medicine. Frequent author keywords identified key research hotspots, including specific diseases like Alzheimer’s disease, Parkinson’s diseases, COVID-19, and diabetes. The author keyword analysis identified “deep learning”, “convolutional neural network”, and “classification” as dominant research themes. Conclusions: AI’s transformative potential in AI and ML in health and medicine holds promise for improving global health outcomes
Social discrimination perception of health-care workers and ordinary people toward individuals with COVID-19
No full textThe purpose of this study is to explore perception of social discrimination among ordinary people and health-care workers toward individuals with COVID-19 in Jordan. A cross-sectional descriptive-comparative design was used to collect data from a convenience sample of 272 ordinary people and 109 HCWs utilizing an online survey format. HCWs reported low to medium social discrimination (SDS) level, while ordinary people reported a higher level with statistical difference (t = 8.64, p <.001). SDS had positive and significant correlation with years of experience, specialty of nursing, education and area of working among HCWs. The study signifies the social discrimination associated with COVID-19 among ordinary people and healthcare workers. Implications to health practices and public policies discussed
