Jinglin HUANG

Peking University Shenzhen Hospital, Shenzhen, Guangdong, China

Abstract Title:A study on the health care service needs of community patients with Multiple Chronic Conditions in hospital association service mode: a scoping review

Biography:

Jinglin Huang is now a nurse practitioner at Peking University Shenzhen Hospital. She received her Master of Science in Nursing from Lanzhou University in 2024, with a research focus on geriatric nursing. She has published two core Chinese scientific and technical articles.

Research Interest:

Objective: This scoping review synthesizes research on healthcare needs among older adults (≥60 years) with multiple chronic conditions (MCC) under China's hospital-community association service model. Methods: In February 2025, seven databases (PubMed, Ovid Medline, Web of Science, Embase, CBM, CNKI, Wanfang) were searched for studies published from database inception to March 2025. Guided by JBI methodology, we integrated global evidence on MCC community health service needs. Dual independent screening, standardized data extraction, and descriptive analysis were employed to compare research paradigms, methods, and key findings. Results: Fourteen studies were included: 9 (64.3%) post-2020 publications. Most used RCTs (n=6) or cross-sectional designs (n=5), emphasizing healthcare behavior patterns (e.g., referrals, resource allocation). All studies focused on adults aged ≥60; 8 were China-based (urban-only). Compared to developed regions, developing countries prioritized barriers to community care access.Cross-sectional data revealed lower self-reported health issues but higher outpatient/emergency utilization in developing contexts. Conclusions: Research on MCC healthcare needs under China’s integrated service model is emerging but limited. Current evidence highlights disparities in care access and service utilization between urban/rural and developed/developing settings. Further studies should address geographic and socioeconomic heterogeneities to optimize MCC stratified management. Policymakers require robust evidence to align resource allocation with unmet needs, particularly in under served regions.