[1]张振香,刘雪婷,张春慧,等.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[J].军事护理,2022,39(12):30-33.[doi:10.3969/j.issn.2097-1826.2022.12.008]
 ZHANG Zhenxiang,LIU Xueting,ZHANG Chunhui,et al.A Latent Profile Analysis of Medicine Decision-Making Behaviors Among Patients with Chronic Comorbidities and Its Influencing Factors[J].Nursing Journal Of Chinese People's Laberation Army,2022,39(12):30-33.[doi:10.3969/j.issn.2097-1826.2022.12.008]
点击复制

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
分享到:

《军事护理》[ISSN:2097-1826/CN:31-3186/R]

卷:
39
期数:
2022年12期
页码:
30-33
栏目:
论著
出版日期:
2022-12-15

文章信息/Info

Title:
A Latent Profile Analysis of Medicine Decision-Making Behaviors Among Patients with Chronic Comorbidities and Its Influencing Factors
文章编号:
2097-1826(2022)12-0030-004
作者:
张振香刘雪婷张春慧林蓓蕾梅永霞平智广郭惠娟
(郑州大学 护理与健康学院,河南 郑州 450001)
Author(s):
ZHANG ZhenxiangLIU XuetingZHANG ChunhuiLIN BeileiMEI YongxiaPING ZhiguangGUO Huijuan
(School of Nursing and Health,Zhengzhou University,Zhengzhou 450001,Henan Province,China)
关键词:
慢性共病 用药参与决策行为 潜在类别分析 影响因素
Keywords:
multiple chronic conditions medication decision-making latent profile analysis influencing factors
分类号:
R47
DOI:
10.3969/j.issn.2097-1826.2022.12.008
文献标志码:
A
摘要:
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。
Abstract:
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.

参考文献/References:

[1] WHO.Global health risks:mortality and burden of disease attributable to selected major risks[EB/OL].[2021-12-13].http://www.docin.com/p-1570008617.html.
[2] 李荔,李莎,卫芸,等.社区老年人多重用药率及其相关因素的系统综述[J].中国全科医学,2021,24(25):3161-3170.
[3] MORTELMANS L,DE BAETSELIER E,GOOSSENS E,et al.What happens after hospital discharge? Deficiencies in medication management encountered by geriatric patients with polypharmacy[J/OL].[2021-12-01].https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293803/.DOI:10.3390/ijerph18137031.
[4] MYERS R E,ADVANI S M,MYERS P,et al.Engaging patients with late-stage non-small cell lung cancer in shared decision making about treatment[J/OL].[2021-12-01].https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539978/.DOI:10.3390/jpm11100998.
[5] 骆佳莉,王彧.浅析中国“医患共同决策”的理论研究——基于CNKI的文献分析[J].中国医学伦理学,2020,33(2):192-197.
[6] CHEN J,LIU J,ZHAO G,et al.Internet behavior preferences predict pathological internet use:a latent profile analysis[J/OL].[2021-12-01].https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211777/.DOI:10.3389/fpsyg.2021.644623.
[7] 王佳,刘雨鑫,王若溪,等.武汉市老年慢性病共存患者用药决策参与行为研究[J].医学与社会,2021,34(1):46-50.
[8] 董小方,刘延锦,王爱霞.合理用药自我效能量表的汉化及信效度检验[J].护理学杂志,2015,30(11):47-49.
[9] 马向芹.我国老年慢性病患者患病及用药状况研究[D].郑州:河南大学,2015.
[10]刘国珍,薛承斌,丁玉峰等.湖北某高校社区居民安全用药现状调查以及用药风险因素分析[J].中国医院药学杂志,2021,41(17):1795-1800.
[11]GRUNE B,KOTHER A K,BUDENBENDER B,et al.Patients' perspective on shared decision-making in urology:a prospective study at a university hospital[J].World J Urol,2021,39(12):4491-4498.
[12]SCHIOTZ M L,FROLICH A,JENSEN A K,et al.Polypharmacy and medication deprescribing:a survey among multimorbid older adults in Denmark[J/OL].[2021-12-01].https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198567/.DOI:10.1002/prp2.431.

备注/Memo

备注/Memo:
【 收稿日期 】 2021-12-10 【 修回日期 】 2022-10-10
【 基金项目 】 国家自然科学基金资助项目(72174184); 河南省科技公关计划项目(182102310198)
【 作者简介 】 张振香,硕士,教授,从事慢性病管理研究
更新日期/Last Update: 2022-12-15