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The involvement of non-governmental organisations in achieving health system goals based on the WHO six building blocks: A scoping review on global evidence.
PLoS One
January 2025
School of Health and Social Care, University of Essex, Colchester, United Kingdom.
Background: Non-governmental organisations (NGOs) have the potential to make a significant contribution to improving health system goals through the provision of resources, health services and community participation. Therefore, this paper examines the role of NGOs in achieving health system goals, based on the six building blocks of a health system framework, and identifies strategies to enhance NGO involvement in achieving health system goals.
Methods: A scoping systematic review methodology was used to map and synthesise the existing literature on the topic, following the latest JBI six-stage framework.
The assessment of routine health information system performance towards improvement of quality of reproductive, maternal, newborn, child and adolescent health services in Ondo and Ekiti States, Nigeria.
PLoS One
January 2025
Department of Community Health, Faculty of Clinical Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria.
Background: Nigeria's reproductive, maternal, newborn, child, and adolescent health indicators have remained unsatisfactory in the face of poor-quality healthcare services. Nigeria initiated the reproductive, maternal, newborn, child, and adolescent, elderly + nutrition (RMNCAEH+N) quality of care (QoC) agenda to address the challenge. The health management information system (HMIS) is integral to the agenda but there is sparse evidence on its performance so far.
View Article and Find Full Text PDFGenerating context-specific sports training plans by combining generative adversarial networks.
PLoS One
January 2025
College of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.
View Article and Find Full Text PDFMapping Key Populations to Develop Improved HIV and AIDS Interventions: Multiphase Cross-Sectional Observational Mapping Study Using a District and City Approach.
JMIR Public Health Surveill
January 2025
Monitoring, Evaluation, and Learning Platform USAID, Jakarta, Indonesia.
Background: Indonesia's vast archipelago and substantial population size present unique challenges in addressing its multifaceted HIV epidemic, with 90% of its 514 districts and cities reporting cases. Identifying key populations (KPs) is essential for effectively targeting interventions and allocating resources to address the changing dynamics of the epidemic.
Objective: We examine the 2022 mapping of Indonesia's KPs to develop improved HIV and AIDS interventions.
When investigating and controlling outbreaks caused by zoonotic avian influenza viruses (AIV), a One Health approach is key. However, knowledge-sharing on AIV-specific One Health strategies, tools and action plans remains limited across the EU/EEA. It is crucial to establish responsibilities, capacity requirements, and collaboration mechanisms during 'peace time' to enable timely and effective outbreak investigations and management.
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