1.Research advances and insights on the Rainbow Model of Integrated Care
Wangqing ZHOU ; Yan LIU ; Lishuo LIU ; Jia LI ; Lanyu ZHU ; Xiaotong YIN
Chinese Journal of Nursing 2024;59(4):496-501
The Rainbow Model of Integrated Care(RMIC)is a new conceptual framework that integrates primary care principles,integrated care characteristics,and a triple aim framework based on the Rainbow Model,which helps researchers better understand the concept of integrated care from a primary care perspective and thus scientifically conduct integrated care practice programs.This paper reviews the emergence and development of RMIC,its conceptual framework,and its application in integrated care,with the aim of providing a guiding basis for improving the quality of integrated care and positively transforming the health care delivery model in China.
2.Analysis of the trajectory and influencing factors of social decline in first-episode stroke patients
Lishuo LIU ; Wangqing ZHOU ; Yan LIU ; Jia LI ; Lanyu ZHU
Chinese Journal of Modern Nursing 2024;30(32):4432-4437
Objective:To explore the trajectory of social vulnerability in first-episode stroke patients and analyze its influencing factors.Methods:Using convenience sampling, 210 stroke patients admitted to the Department of Cerebrovascular Diseases in The 3 rd Affiliated Hospital of CCUCM from January to December 2023 were selected as study subjects. The General Information Questionnaire, the Chinese version of the Social Vulnerability Index (SVI), Nutritional Risk Screening 2002, and the Social Support Rating Scale were used to conduct surveys at admission (T 1), 2 weeks post-onset (T 2), 1 month post-onset (T 3), 3 months post-onset (T 4), and 6 months post-onset (T 5). Latent Class Growth Model (LCGM) and univariate analysis were used for data processing. Results:A total of 176 valid consecutive questionnaires were collected, with an effective response rate of 83.81% (176/210). The SVI scores at T 1 to T 5 were (18.64±5.82), (19.97±6.42), (16.19±5.34), (15.98±5.61), and (16.12±4.42), respectively. Three latent classes of social vulnerability trajectories were identified among first-episode stroke patients, with average probabilities of 0.942, 0.956, and 0.932 for patients belonging to each latent class. The three classes were the high-level worsening group (30.1%, 53/176), the moderate-level improving group (52.3%, 92/176), and the low-to-moderate-level stable group (17.6%, 31/176). Age, living arrangement, self-rated personality type, activities of daily living after illness, presence of malnutrition, and social support were influencing factors for grouping the trajectories of social vulnerability in first-episode stroke patients ( P<0.05) . Conclusions:First-episode stroke patients exhibit three distinct trajectory types of social vulnerability from admission to 6 months post-onset, with variations in their social vulnerability trajectories. Age, living arrangements, self-rated personality types, activities of daily living after illness, presence of malnutrition, and social support are influencing factors for grouping social vulnerability trajectories in first-episode stroke patients. Clinical staff should closely monitor stroke patients in the high-level worsening group, promptly identify high-risk patients with social frailty, in order to reduce the impact of social vulnerability and provide proactive and targeted protective care.