慢性病患者健康社会网络结构量表的编制及信效度检验

doi:10.3761/j.issn.0254-1769.2025.21.011

摘要/Abstract

摘要：

目的编制慢性病患者健康社会网络结构量表，并检验其信效度，通过科学评估患者社会网络结构的特征与互动模式，为慢性病健康管理中社会网络干预策略的制订提供依据。方法以社会网络影响健康的概念模型为理论框架，通过文献分析、德尔菲专家函询及预调查形成调查版慢性病患者健康社会网络结构量表。于2024年9—10月，采用便利抽样法，选取南京市某所社区卫生服务中心及某所三级甲等医院的420例2型糖尿病患者进行调查，进行探索性因子分析和验证性因子分析。结果最终纳入400例患者，慢性病患者健康社会网络结构量表包括8个维度，共27个条目，累计方差贡献率为71.681%。验证性因子分析结果显示，模型拟合度较高。总量表的Cronbach’s α系数为0.815，折半信度为0.841，组合信度为0.816，效标关联效度较好；各维度的Cronbach’s α系数为0.636~0.879。结论慢性病患者健康社会网络结构量表具有良好的信效度，可作为评价社会网络结构状况的可靠工具。

关键词: 慢性病, 社会网络结构, 量表, 信度, 效度, 护理评估

Abstract:

Objective To develop a Health Social Network Structure Scale for patients with chronic diseases and test its reliability and validity. By scientifically assessing the characteristics and interaction patterns of patients’ social network structures，this study aims to provide a basis for formulating social network intervention strategies in chronic disease management. Methods Guided by the Conceptual Models of How Social Networks Impact Health，the initial version of the Health Social Network Structure Scale for patients with chronic diseases was developed through literature analysis，expert consultation，and a preliminary survey. From September to October 2024，420 cases of type 2 diabetes mellitus patients from a health service center and a tertiary hospital in Nanjing were selected for investigation. Exploratory factor analysis（EFA） and confirmatory factor analysis（CFA） were conducted. Results A total of 400 patients were included in the final analysis. The Health Social Network Structure Scale consisted of 8 dimensions and 27 items，with a cumulative variance contribution rate of 71.681%. Confirmatory factor analysis showed that the model with a high goodness-of-fit. The Cronbach’s α coefficient for the total scale was 0.815；the split-half reliability was 0.841；the composite reliability was 0.816；the validity of the calibration is good. The Cronbach’s α coefficients for each dimension ranged from 0.636 to 0.879. Using the Perceived Isolation Scale as the criterion，the scores of each dimension were significantly correlated with perceived social isolation. Conclusion The Health Social Network Structure Scale for patients with chronic diseases demonstrates good reliability and validity and it can serve as a reliable tool for evaluating social network structure conditions.

Key words: Chronic Disease, Social Network Structure, Scale, Reliability, Validity, Nursing Assessment

程涵天, 周元, 温天虹, 周佳仪, 唐笑睿, 王炎喆, 林征, 雷阳. 慢性病患者健康社会网络结构量表的编制及信效度检验[J]. 中华护理杂志, 2025, 60(21): 2635-2641.

CHENG Hantian, ZHOU Yuan, WEN Tianhong, ZHOU Jiayi, TANG Xiaorui, WANG Yanzhe, LIN Zheng, LEI Yang. Development and validation of a Health Social Network Structure Scale for patients with chronic diseases[J]. Chinese Journal of Nursing, 2025, 60(21): 2635-2641.

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