冠心病介入诊疗患者电子健康素养潜在剖面分类及其对服药依从性的影响OA
Classification of latent profile of electronic health literacy in patients un-dergoing interventional diagnosis and treatment of coronary heart disease and its impact on medication compliance
目的 探讨冠心病介入诊疗患者电子健康素养潜在剖面分类及其对服药依从性的影响.方法 选取2022年11月至2024年11月九江市第一人民医院行介入治疗的340例冠心病患者作为研究对象.采用一般资料调查表、电子健康素养量表、Morisky服药依从性量表(MMAS-8)进行调查,通过潜在剖面分析电子健康素养类别的最优数量并命名,通过单因素及多元线性回归分析服药依从性的影响因素.结果 冠心病介入诊疗患者电子健康素养可分为3个潜在类别,分别为应用-评判-决策全优型(36例)、高应用-低评判决策型(149例)、应用-评判-决策全低型(155例).单因素分析结果显示,年龄、婚姻状况、文化程度、家庭可支配月收入、每日服药种类、每日服药总片数、焦虑抑郁、家庭功能、电子健康素养的潜在类别分布的MMAS-8评分比较,差异有统计学意义(P＜0.05).多因素分析结果显示,年龄(B=-0.341,β=-0.069,95％CI:-0.561～-0.122)、婚姻状况(B=-0.343,β=-0.117,95％CI:-0.439～-0.247)、文化程度(B=0.799,β=0.238,95％CI:0.617～0.981)、家庭可支配月收入(B=0.540,β=0.090,95％CI:0.364～0.717)、每日服药种类(B=0.142,β=0.029,95％CI:0.031～0.253)、每日服药总片数(B=0.608,β=0.125,95％CI:0.437～0.779)、焦虑(B=0.266,β=0.054,95％CI:0.113～0.418)、抑郁(B=0.180,β=0.037,95％CI:0.047～0.313)、家庭功能(B=0.746,β=0.232,95％CI:0.598～0.894)、电子健康素养潜在类别(B=0.429,β=0.118,95％CI:0.293～0.565)为冠心病介入诊疗患者的独立影响因素(P＜0.05).结论 冠心病介入诊疗患者电子健康素养存在三类异质亚群,年龄、婚姻状况及电子健康素养的潜在类别是冠心病介入诊疗患者服药依从性的独立影响因素,推荐临床据此采取相应的针对措施,并强化患者的电子健康素养以提高服药依从性.
Objective To explore the latent profile classification of electronic health literacy in patients undergoing inter-ventional diagnosis and treatment of coronary heart disease and its impact on medication compliance.Methods A total of 340 patients with coronary heart disease who underwent interventional treatment at Jiujiang NO.1 People's Hospital from November 2022 to November 2024 were selected as the research subjects.The general information questionnaire,the electronic health literacy scale,and the 8-item Morisky medication adherence scale(MMAS-8)were used for the investigation.The optimal number of categories for the electronic health literacy was determined through latent profile analysis and named.The influencing factors of medication adherence were analyzed through univariate and multiple linear regression.Results The electronic health literacy of patients undergoing coronary heart disease interventional treatment can be classified into three latent categories:the full excellence type of application-criticism-decision(36 cases),the high application-low criticism decision type(149 cases),and the full low type of application-criticism-decision(155 cases).The results of the single-factor analysis showed that there were statistically significant differences in the MMAS-8 scores of the latent category distribution of electronic health literacy regarding age,marital status,educational level,monthly disposable family income,types of daily medication,total number of daily pills taken,anxiety and depression,family function,and the latent category distribution of electronic health literacy(P＜0.05).The results of the multi-factor analysis latent that age the results of the multivariate analysis suggested that age(B=-0.341,β=-0.069,95％CI:-0.561--0.122),marital status(B=-0.343,β=-0.117,95％CI:-0.439--0.247),educational level(B=0.799,β=0.238,95％CI:0.617-0.981),monthly disposable income of the family(B=0.540,β=0.090,95％CI:0.364-0.717),types of daily medication(B=0.142,β=0.029,95％CI:0.031-0.253),total number of daily pills taken(B=0.608,β=0.125,95％CI:0.437-0.779),anxiety(B=0.266,β=0.054,95％CI:0.113-0.418),depression(B=0.180,β=0.037,95％CI:0.047-0.313),family function(B=0.746,β=0.232,95％CI:0.598-0.894),and the potential category of electronic health literacy(B=0.429,β=0.118,95％CI:0.293-0.565)were independent influencing factors for patients undergoing coronary intervention and treatment(P＜0.05).Conclusion There are three distinct subgroups of electronic health literacy among patients undergoing coronary heart disease intervention and diagnosis.Age,marital status,and the latent categories of electronic health literacy are independent influencing factors for the medication compliance of these patients.It is recommended that clinical practice take corresponding measures based on this,and enhance patients' electronic health literacy to improve their medication compliance.
吴伟;周佳茜
江西省九江市第一人民医院心血管内科,江西九江 332000江西省九江市第一人民医院急诊科,江西九江 332000
医药卫生
冠心病介入诊疗电子健康素养潜在剖面服药依从性
Coronary heart diseaseInterventional diagnosis and treatmentElectronic health literacyLatent profileMed-ication compliance
《中国当代医药》 2026 (20)
11-16,6
江西省卫生健康委科技计划项目(202311484).
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