Nurses increasingly form global health partnerships through academic and voluntary organizations that are designed to improve health outcomes. Many such partnerships are funded for specific time periods and have short- or long-term goals to achieve during the partnership. Other partnerships are sustained for longer periods of time through the efforts of partners committed to their joint work. The case example of the Health Volunteers Overseas Nursing Education partnership in Kampala, Uganda, demonstrates key components of partnerships that promote sustainability of programs. This case example is analyzed using literature that reports partnership models to identify those factors that have led to sustainability. Additionally, both objective and subjective program outcomes are reported. Recommendations for further evaluation are included.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509790 | PMC |
| http://dx.doi.org/10.3389/fpubh.2017.00173 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database.
PLOS Digit Health
December 2024
Department of Family Medicine, McMaster University, Ontario, Canada.
The Community Paramedicine at Clinic (CP@clinic) program is a community program that utilizes community paramedics to support older adults in assessing their risk factors, managing their chronic conditions, and linking them to community resources. The aim of this project is to design a low-cost, portable, secure, user-friendly database for CP@clinic sessions and pilot test the database with paramedics and older adult volunteers. The CP@clinic program database using the Microsoft Access software was first developed through consultation with the CP@clinic research team.
View Article and Find Full Text PDFPhysician vs. AI-generated messages in urology: evaluation of accuracy, completeness, and preference by patients and physicians.
World J Urol
December 2024
Department of Urology, Baldwin Park Medical Center, Kaiser Permanente, 1011 Baldwin Park Blvd., Baldwin Park, CA, 91706, USA.
Purpose: To evaluate the accuracy, comprehensiveness, empathetic tone, and patient preference for AI and urologist responses to patient messages concerning common BPH questions across phases of care.
Methods: Cross-sectional study evaluating responses to 20 BPH-related questions generated by 2 AI chatbots and 4 urologists in a simulated clinical messaging environment without direct patient interaction. Accuracy, completeness, and empathetic tone of responses assessed by experts using Likert scales, and preferences and perceptions of authorship (chatbot vs.
Comparison of Vertical Jump Force-Time Metrics Between ACL-Injured and Healthy Semi-Professional Male and Female Soccer Players.
Sports (Basel)
December 2024
Research Center for Sport and Health Sciences, University of Iceland, 102 Reykjavik, Iceland.
Given the increasing use of innovative force plate systems in applied sports settings and the impact that anterior cruciate ligament (ACL) injuries have on team success, the purpose of the present study was to compare the lower-body neuromuscular performance characteristics of athletes who underwent ACL reconstruction (ACLR) and their non-injured counterparts (i.e., healthy controls).
View Article and Find Full Text PDFInfluence of Body Composition and Muscle Power Performance on Multiple Frequency Speed of Kick Test in Taekwondo Athletes.
Sports (Basel)
November 2024
Centro Polifunzionale di Scienze Motorie, University of Genoa, 16132 Genoa, Italy.
The Multiple Frequency Speed of Kick Test (FSKT) is used to investigate which characteristics are necessary for, contribute to, or limit the ability to repeat high-intensity intermittent efforts in taekwondo. This cross-sectional study investigated the relationship between anthropometric and body composition characteristics, muscle power performance, and sport-specific anaerobic performance. Nineteen black belt taekwondo athletes (mean ± SD age: 17.
View Article and Find Full Text PDFHarmonization for Parkinson's Disease Multi-Dataset T1 MRI Morphometry Classification.
NeuroSci
November 2024
National Institute of Neurological Disorders and Strokes, National Institutes of Health, Bethesda, MD 20892, USA.
Classification of disease and healthy volunteer cohorts provides a useful clinical alternative to traditional group statistics due to individualized, personalized predictions. Classifiers for neurodegenerative disease can be trained on structural MRI morphometry, but require large multi-scanner datasets, introducing confounding batch effects. We test ComBat, a common harmonization model, in an example application to classify subjects with Parkinson's disease from healthy volunteers and identify common pitfalls, including data leakage.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!