98%
921
2 minutes
20
: As global populations age, the demand for effective and compassionate geriatric care has intensified. Humanized nursing emphasizes empathy and person-centered care, while community-based nursing builds on local resources and networks to support health and well-being. Together, these approaches offer promising strategies for improving care for older adults. This integrative review explores the evolution, clinical contributions, and implementation barriers of these models. : A comprehensive literature search was performed using PubMed, CINAHL, Scopus, and Web of Science, targeting peer-reviewed studies, including qualitative and quantitative studies published between 2010 and 2025, that involved adults aged 60 years and older. Inclusion criteria emphasized humanized and community-based nursing interventions while excluding non-nursing and pediatric-focused studies. Quality appraisal was performed using CASP and JBI checklists, and data were thematically synthesized. : Evidence indicates that these care models significantly improve functional independence and psychosocial well-being and reduce hospital readmissions. For instance, community-based care in Taiwan improved activities of daily living in dementia patients by 15%, while U.S.-based programs reduced depressive symptoms by 30% among Latino older adults. Interdisciplinary, nurse-led interventions in South Korea and Puerto Rico showed a 22% reduction in readmissions and an 85% increase in care access. Despite these benefits, numerous barriers hinder widespread implementation, including workforce shortages, inadequate funding, fragmented healthcare systems, cultural resistance, digital literacy challenges, and policy constraints, particularly in low-resource settings such as the Philippines and Nepal. : These findings underscore the transformative potential of humanized and community-based nursing while highlighting the need for targeted strategies such as task-shifting, inclusive technologies, and policy reform to advance equitable, sustainable geriatric care globally.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12388778 | PMC |
http://dx.doi.org/10.3390/nursrep15080302 | DOI Listing |
J Multidiscip Healthc
September 2025
Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Background: Falls are a major cause of injury and death among the elderly, highlighting the need for effective and real-time detection systems. Embedded Internet of Health Things (IoHT) technologies integrating sensors, microcontrollers, and communication modules offer continuous monitoring and rapid response. However, the research landscape remains fragmented, and no comprehensive bibliometric review has been conducted.
View Article and Find Full Text PDFJ Multidiscip Healthc
September 2025
School Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Background: Diabetes mellitus is a major health challenge among older adults in Asia. Challenges include limited healthcare access and poor self-care adherence. Continuity of care has emerged as a key strategy to enhance diabetes self-management in this population.
View Article and Find Full Text PDFFront Psychiatry
August 2025
Department of Psychiatry, Nagoya City University East Medical Center, Nagoya, Japan.
Although post-earthquake psychological distress arises from a complex interplay of personal vulnerabilities and environmental stressors, the pathways by which these factors interact remain underexplored. We surveyed 327 hospital nurses in Nanao City, Japan, approximately eight months after the magnitude-7.5 2024 Noto Peninsula earthquake; 224 complete responses were analyzed.
View Article and Find Full Text PDFAlpha Psychiatry
August 2025
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, 610036 Chengdu, Sichuan, China.
Objective: Physical aggression in schizophrenia patients carries significant societal implications. Previous studies on aggression prediction have primarily focused on hospitalized patients, overlooking specific rural community contexts in China. This study investigated multidimensional predictive factors to develop and validate a predictive model for predicting physical aggression in schizophrenia patients in rural communities in southwestern China.
View Article and Find Full Text PDF