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Life orientation teachers' perspectives on intersectoral collaboration management of sexuality education.
Afr J Prim Health Care Fam Med
December 2024
Department of Nursing, Faculty of Science, Agriculture and Engineering, University of Zululand, Kwadlangezwa.
Background: According to the United Nations Fund for Population Activities, sexuality education (SE) requires building a multisectoral team and developing an operational plan. Hence, teaching comprehensive sexuality education (CSE) in collaboration with relevant stakeholders is a managerial approach to provide school-going adolescents with the knowledge and skills to make informed decisions that will safeguard their health.
Aim: To report on Life Orientation (LO) teachers' perspectives on intersectoral collaboration management of SE in secondary schools in KwaZulu-Natal (KZN) province, South Africa.
Strategies for effective and efficient delivery of primary health care by village health workers: A scoping review using the Rodgers' Evolutionary Concept Analysis Framework.
Afr J Prim Health Care Fam Med
December 2024
Department of Public Health, Faculty of Health Sciences, University of Venda, Thohoyandou.
Background: Village health workers (VHWs), popularly known as community health workers (CHWs) in some contexts and settings, should effectively complement health care providers in primary health care (PHC) delivery in Zimbabwe. However, they continue to offer services that do not address current and emerging health issues.
Aim: This study aims to review the literature and develop a conceptual framework to improve the effectiveness and efficiency of VHWs in service delivery.
Graduate perceptions of their interprofessional practice: Lessons for undergraduate training.
Afr J Prim Health Care Fam Med
December 2024
Division of Rural Health (Ukwanda), Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; and, Department of Health Professions Education, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town.
Background: Interprofessional education (IPE) during undergraduate training (UGT) is considered important for new graduates to collaborate inter-professionally. There are, however, well-documented workplace challenges that hinder their involvement in interprofessional collaborative practice (IPCP) such as professional hierarchy, poor role clarification and communication challenges.
Aim: This article explores graduates' perceptions of the value rural undergraduate IPE had on their IPCP during their first year of work.
[Endocrinology : what's new in 2024].
Rev Med Suisse
January 2025
Unité d'endocrinologie, Service d'endocrinologie, diabétologie et métabolisme,Département de médecine, Centre hospitalier universitaire vaudois, 1011 Lausanne.
In this article, we look at a selection of recent developments in various areas of endocrinology. We focus on advances in endocrine pharmacotherapy and endocrine surgery, addressing several areas: a) the thyroid safety of Glucagon-Like Peptide-1 (GLP1) analogues; b) the efficacy of adrenal surgery for mild autonomous cortisol secretion; c) crinecerfont in the management of congenital adrenal hyperplasia in adults and children; d) paltusotin as a novel oral therapy for acromegaly and e) TransCon PTH (palopegteriparatide) as a novel therapy for chronic hypoparathyroidism.
View Article and Find Full Text PDFA 3D decoupling Alzheimer's disease prediction network based on structural MRI.
Health Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
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