This perspective article defines and discusses the concept of the "village" when working with families who are experiencing multiple adversities. The article starts with a discussion on what is meant generally by a village approach, followed by a historical overview of how families living in adversity have been defined and positioned. The need to move past a siloed, professional centric approach when working with families is then presented. Using a model of social connections, based on Bronfenbrenner's ecological theory, we then identify who the "villagers" might be. Some potential principles for how the village might work with families living with adversity are presented, along with two case studies, to demonstrate how these principles might be enacted. This perspective article provides an overview and discussion of "the village" concept, rather than present a definitive set of guidelines or recommendations.
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http://dx.doi.org/10.3389/fpubh.2022.756066 | DOI Listing |
Heliyon
January 2025
Department of Development Geography, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
Village development in Indonesia has become the national development agenda prioritized in conjunction with the enactment of the Village Law in 2014. Village development through smart village is considered relevant to the current era's progress and rapid technological advancements. Smart village is often defined as the concept of village development based on the utilization of information and communication technology (ICT).
View Article and Find Full Text PDFJ Am Acad Child Adolesc Psychiatry
January 2025
For children navigating complex psychological and emotional challenges, the concept of community extends far beyond the walls of their home. Storytelling can be a powerful tool to foster a broader "village" of support, drawing on the rich network of extended family, neighbors, teachers, and cultural traditions that shape a child's world. Through sharing and listening to stories, children not only find comfort and connection but also discover a sense of pride in their cultural heritage and a deeper understanding of their identity.
View Article and Find Full Text PDFAfr 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.
Nurse Educ Today
January 2025
Department of Industrial Engineering and Management, Chaoyang University of Technology, No. 168, Jifeng E. Rd., Wufeng District, Taichung 413310, Taiwan. Electronic address:
Background: Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are transforming educational methodologies, and a focus is being placed on embedding AI literacy to effectively bridge the gap between theoretical knowledge and clinical practice. These technologies have the potential to reshape nursing education in a technology-driven health-care landscape.
View Article and Find Full Text PDFBMC Public Health
January 2025
Migrant Health Research Group, School of Health, Leeds Beckett University, Leeds, UK.
Background: In The Gambia, existing research to understand and address malnutrition among adolescent girls is limited. Prior to the conduct of large-scale studies, formative research is needed. The aim of this mixed methods, cross-sectional study was to explore cultural contexts relevant to nutritional status, feasibility and appropriateness of recruitment and data collection methods (questionnaires and anthropometric measures), and plausibility of data collected.
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