老年人中药物提醒应用程序“使用情况及使用意愿”的患病率及其相关因素。
Prevalence and correlates of medication reminder app 'use and use intention' among older adults.
作者信息
Ping Yongjing, Visaria Abhijit, Suppiah Sumithra Devi, Tan Yi Wen, Malhotra Rahul
机构信息
Health Services and Systems Research, Duke-NUS Medical School, Singapore.
Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore.
出版信息
Explor Res Clin Soc Pharm. 2022 Jun 9;6:100150. doi: 10.1016/j.rcsop.2022.100150. eCollection 2022 Jun.
BACKGROUND
Medication adherence is relatively poor among older adults. Although there exist medication reminder apps, data on the prevalence and correlates of their 'use and use intention' by older adults are limited.
OBJECTIVE
To examine the prevalence, and socio-demographic and health correlates of medication reminder app use and use intention among older adults in Singapore.
METHODS
Data from a nationally representative survey of 2228 adults aged 62 years and above, who were taking at least one prescription medication, were analysed. Medication reminder app use (in the past one month) and use intention (in the next one month) were self-reported. Bivariate and multivariable logistic regression models were used to identify the correlates of medication reminder app use and use intention.
RESULTS
The prevalence of medication reminder app use and use intention was low at 2.6% (comprising 0.5% for use and 2.1% for use intention). Age, ethnicity, education level, previous participation in information technology/computer-related courses, comorbidity, health literacy, medication adherence and polypharmacy were correlated with app use and use intention in multivariable analyses.
CONCLUSION
The very low prevalence of medication reminder app use and use intention among older adults in Singapore and identified correlates point to opportunities to increase the use of such apps.
背景
老年人的药物依从性相对较差。尽管存在药物提醒应用程序，但关于老年人对其“使用情况和使用意愿”的患病率及相关因素的数据有限。
目的
研究新加坡老年人使用药物提醒应用程序的患病率以及社会人口学和健康相关因素与使用意愿。
方法
对2228名年龄在62岁及以上且正在服用至少一种处方药的成年人进行全国代表性调查的数据进行分析。药物提醒应用程序的使用情况（过去一个月内）和使用意愿（未来一个月内）通过自我报告获得。采用双变量和多变量逻辑回归模型来确定药物提醒应用程序使用情况和使用意愿的相关因素。
结果
药物提醒应用程序的使用和使用意愿的患病率较低，为2.6%（其中使用占0.5%，使用意愿占2.1%）。在多变量分析中，年龄、种族、教育水平、以前是否参加过信息技术/计算机相关课程、合并症、健康素养、药物依从性和多重用药与应用程序的使用和使用意愿相关。
结论
新加坡老年人中药物提醒应用程序的使用和使用意愿的患病率极低，已确定的相关因素表明有机会增加此类应用程序的使用。
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