Influencing factors and network analysis of latent profiles of care demands among disabled older adults in integrated medical and nursing care institutions in Shanghai, China: a cross-sectional study
- 1School of Nursing, Ningxia Medical University , ,
- 2Department of Nursing, Pudong Gongli Hospital, Shanghai University of Medicine and Health Sciences , ,
Abstract
Objective: To identify the latent profiles and network structure of care demands among disabled older adults in integrated medical and nursing care institutions, and to provide empirical evidence for service provision.
Methods: Convenience sampling was used to select 443 disabled older adults from 16 integrated medical and nursing care institutions in Pudong New Area, Shanghai. Face-to-face surveys were conducted using a general information questionnaire and a service demands questionnaire. Latent profile analysis was employed to identify care demand profiles and their influencing factors, while network analysis was applied to construct the demand network and compare network differences across profiles.
Results: Latent profile analysis identified three care demand profiles: the “Low-demand expression group” (76.4%), the “Multidimensional high-demand group” (18.5%), and the “Psychological-prominent demand group” (5.1%). Age, gender, pre-retirement occupation, and frequency of children’s visits were independent influencing factors for profile membership ( P <0.05). The overall network analysis revealed that chronic disease management health education and safety prevention health education served as bridge demands. In both the overall and subgroup network analyses, excretion care and rehabilitation assessment were core demands. Subgroup comparison showed that the strongest edge in the “Low-demand expression group” crossed dimensions, whereas the strongest edge in the “Multidimensional high-demand group” was concentrated within dimensions.
Conclusion: The care demands of disabled older adults in integrated medical and nursing care institutions are typologically differentiated and shaped by multiple factors. The association structures among care demands differ fundamentally across demand types. Therefore, institutions should consider both the demand classification and network structures when allocating care resources, rather than determining service priorities based solely on the average scores of individual demand items.
Related
- High malnutrition risk burden in the oldest-old in integrated medical and long-term care institutions for older adults: a cross-sectional study
- Subjective well-being and its influencing factors of clinical nurses: a cross-sectional study based on latent profiles analysis
- Menstrual hygiene management practice and associated factors among disabled women of reproductive age in Nepal: a cross-sectional study
- Prevalence and correlates of sexual harassment among female nursing students in Tanzanian higher educational institutions: a cross-sectional survey.
- TPACK and digital literacy among foreign language teachers in higher education institutions: a cross-sectional serial mediation analysis
BibTeX
@article{ao2026influencing,
title = {{Influencing factors and network analysis of latent profiles of care demands among disabled older adults in integrated medical and nursing care institutions in Shanghai, China: a cross-sectional study}},
author = {Xu Ao and Sun Haijing and Sun Hongmei and Wei Lihua and Wang Yanmei},
journal = {Frontiers in public health},
year = {2026},
month = oct,
doi = {10.3389/fpubh.2026.1938348},
url = {https://europepmc.org/article/PMC/PMC13668590},
note = {CC BY},
}
RIS
TY - JOUR
TI - Influencing factors and network analysis of latent profiles of care demands among disabled older adults in integrated medical and nursing care institutions in Shanghai, China: a cross-sectional study
AU - Xu Ao
AU - Sun Haijing
AU - Sun Hongmei
AU - Wei Lihua
AU - Wang Yanmei
PY - 2026
DA - 2026/10/01
JO - Frontiers in public health
DO - 10.3389/fpubh.2026.1938348
UR - https://europepmc.org/article/PMC/PMC13668590
AB - Objective: To identify the latent profiles and network structure of care demands among disabled older adults in integrated medical and nursing care institutions, and to provide empirical evidence for service provision. Methods: Convenience sampling was used to select 443 disabled older adults from 16 integrated medical and nursing care institutions in Pudong New Area, Shanghai. Face-to-face surveys were conducted using a general information questionnaire and a service demands questionnaire. Latent profile analysis was employed to identify care demand profiles and their influencing factors, while network analysis was applied to construct the demand network and compare network differences across profiles. Results: Latent profile analysis identified three care demand profiles: the “Low-demand expression group” (76.4%), the “Multidimensional high-demand group” (18.5%), and the “Psychological-prominent demand group” (5.1%). Age, gender, pre-retirement occupation, and frequency of children’s visits were independent influencing factors for profile membership ( P <0.05). The overall network analysis revealed that chronic disease management health education and safety prevention health education served as bridge demands. In both the overall and subgroup network analyses, excretion care and rehabilitation assessment were core demands. Subgroup comparison showed that the strongest edge in the “Low-demand expression group” crossed dimensions, whereas the strongest edge in the “Multidimensional high-demand group” was concentrated within dimensions. Conclusion: The care demands of disabled older adults in integrated medical and nursing care institutions are typologically differentiated and shaped by multiple factors. The association structures among care demands differ fundamentally across demand types. Therefore, institutions should consider both the demand classification and network structures when allocating care resources, rather than determining service priorities based solely on the average scores of individual demand items.
SN - 2296-2565
ER -