慢性共病患者用药参与决策行为的潜在类别及其影响因素分析

A Latent Profile Analysis of Medicine Decision-Making Behaviors Among Patients with Chronic Comorbidities and Its Influencing Factors

目的了解慢性共病患者用药参与决策行为的潜在分型并分析不同类别患者的特征差异。方法2021年7-9月,便利抽样法选取河南省某2所三级甲等医院的258例住院患者为研究对象,采用一般资料问卷、患者参与决策量表、合理服药自我效能量表、用药知识问卷对其进行调查,对患者用药参与决策行为进行潜在类别分析,并通过多元Logistic回归分析各潜在类别特征。结果慢性共病患者用药参与决策行为分为“积极参与型”(16.3%)、“充分沟通型”(53.9%)和“消极参与型”(29.8%)。年龄、购买商业保险、药物知识、合理服药自我效能及有无药师指导用药过程均是慢性共病患者用药参与决策行为潜在类别分类的影响因素(均P<0.05)。结论慢性共病患者用药参与决策行为存在3个潜在类别,医护人员应对不同类别的慢性共病患者进行有针对性的干预。

Objective To explore the potential classification of medicine decision-making behaviors in patients with chronic comorbidities and to analyze differences in the characteristics of different types of patients with chronic comorbidities.Methods From July to September 2021,258 patients with chronic comorbidities in a tertiary A hospital in Henan Province were selected as the study subjects by the convenience sampling method.The general information questionnaire,patient participation decision-making scale,self-efficacy for appropriate medication use scale,medication knowledge questionnaire were used to conduct the survey.Latent profile analysis was adopted to analyze the patients’medication participation decision-making behavior,and polynomial regression analysis was used to analyze the influence of various factors on their different types.Results Medication participation decision-making behavior of patients with chronic comorbidities was divided into:“active participation”(16.3%),“full communication”(53.9%),“passive participation”(29.8%).Patients’age,purchasing commercial insurance,drug knowledge score,total self-efficacy score,and whether having a pharmacist to guide the medication process were predictors that influence the classification of potential profiles of medication participation decision-making behavior of patients(all P<0.05).Conclusions There are three potential categories of medicine decision-making behaviors in patients with chronic comorbidities and healthcare professionals should provide targeted interventions for different categories of patients with chronic comorbidities.