使用外包装二维矩阵码作为患者标识符评价二甲双胍治疗的2型糖尿病患者的自我护理活动和生活质量:DePRO概念验证观察性研究

Q2 Medicine JMIR Diabetes Pub Date : 2022-05-24 DOI:10.2196/31832
C. Mueller, Isabel Schauerte, Stephan Martin, V. Irrgang
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Secondary objectives were to evaluate (1) the self-reported health status of these patients, (2) the association of self-care activities with demographics and disease characteristics, and (3) the usability of the my ePRO app. Methods DePRO was an observational, multicenter, cross-sectional, digital, and patient-driven study conducted in Germany from June to December 2020. Adult patients prescribed metformin were invited to participate via their pharmacist or a medication tracker app. Participants downloaded the my ePRO app onto their own mobile device, scanned the 2D matrix code on their metformin package for registration and authentication, and provided informed consent via an electronic form. They were then able to complete a study-specific questionnaire on demographics and clinical characteristics, the German version of the Summary of Diabetes Self-Care Activities measure (SDSCA-G), the Diabetes Treatment Satisfaction Questionnaire (DTSQ), and the EQ-5D-5L. The patients conducted the study without support from a health care professional. Statistical analyses were exploratory and descriptive. Results In total, 3219 patients were invited to participate. The proportion of patients giving consent was greater among those invited by pharmacists (19/217, 8.8%) than among those invited via the medication tracker app (13/3002, 0.4%). Of the 29 patients eligible for analysis, 28 (97%) completed all study questionnaires. Most of the patients (23/29, 79%) were aged <60 years, and 59% (17/29) were male. The patients spent a mean total of 3.5 (SD 1.3) days out of 7 days on self-care activities (SDSCA-G). Most patients (24/29, 83%) were satisfied to extremely satisfied with their current treatment (DTSQ). Events of perceived hyperglycemia or hypoglycemia were reported by 20 of 29 (69%) patients. The best possible health status (EQ-5D-5L) was reported by 18 of 28 (64%) patients. Age was positively correlated with time spent on general and specific diet (Spearman coefficient 0.390 and 0.434, respectively). Conclusions The DePRO study demonstrates the feasibility of fully digital authentication (via 2D matrix codes on drug packaging) and data capture in patients with T2DM. Personal invitations yielded higher recruitment rates than remote invitations via the medication tracker app. A high questionnaire completion rate was realized, based on completion by 28 out of 29 patients. 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Secondary objectives were to evaluate (1) the self-reported health status of these patients, (2) the association of self-care activities with demographics and disease characteristics, and (3) the usability of the my ePRO app. Methods DePRO was an observational, multicenter, cross-sectional, digital, and patient-driven study conducted in Germany from June to December 2020. Adult patients prescribed metformin were invited to participate via their pharmacist or a medication tracker app. Participants downloaded the my ePRO app onto their own mobile device, scanned the 2D matrix code on their metformin package for registration and authentication, and provided informed consent via an electronic form. They were then able to complete a study-specific questionnaire on demographics and clinical characteristics, the German version of the Summary of Diabetes Self-Care Activities measure (SDSCA-G), the Diabetes Treatment Satisfaction Questionnaire (DTSQ), and the EQ-5D-5L. 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引用次数: 2

摘要

使用数字技术对患者进行远程评估可以降低临床研究成本。在欧盟,处方药包装上的二维矩阵代码作为给定药物包装的唯一标识符,因此也作为接受该药物的患者的唯一标识符。因此,扫描二维矩阵代码可以在临床研究中实现远程患者认证。DePRO研究的目的是评估使用二甲双胍的2型糖尿病(T2DM)患者的全数字化数据捕获工作流程,即通过药物包装二维矩阵码对参与者进行认证的可行性。主要目的是描述这些患者的自我保健活动。次要目的是评估(1)这些患者自我报告的健康状况,(2)自我保健活动与人口统计学和疾病特征的关联,以及(3)my ePRO应用程序的可用性。方法DePRO是一项观察性、多中心、横断面、数字化、患者驱动的研究,于2020年6月至12月在德国进行。处方二甲双胍的成年患者被邀请通过他们的药剂师或药物跟踪应用程序参与。参与者将my ePRO应用程序下载到自己的移动设备上,扫描二甲双胍包装上的二维矩阵代码进行注册和认证,并通过电子表格提供知情同意。然后,他们能够完成一份关于人口统计学和临床特征的研究特定问卷,德文版糖尿病自我护理活动摘要测量(SDSCA-G),糖尿病治疗满意度问卷(DTSQ)和EQ-5D-5L。患者在没有医疗保健专业人员支持的情况下进行了这项研究。统计分析是探索性和描述性的。结果共邀请3219例患者参与。药师邀请的患者表示同意的比例(19/217,8.8%)大于通过药物追踪app邀请的患者(13/3002,0.4%)。在符合分析条件的29例患者中,28例(97%)完成了所有研究问卷。大多数患者(23/29,79%)年龄<60岁,59%(17/29)为男性。患者在自我护理活动(SDSCA-G)上的平均时间为3.5天(SD 1.3)。大多数患者(24/ 29,83 %)对当前治疗满意至极满意(DTSQ)。29例患者中有20例(69%)报告了可感知的高血糖或低血糖事件。28例(64%)患者中有18例报告了可能的最佳健康状况(EQ-5D-5L)。年龄与一般饮食和特殊饮食时间呈正相关(Spearman系数分别为0.390和0.434)。DePRO研究证明了T2DM患者全数字认证(通过药品包装上的二维矩阵码)和数据采集的可行性。个人邀请的招募率高于通过药物跟踪应用程序进行的远程邀请。29名患者中有28名完成了问卷调查,从而实现了较高的问卷完成率。试验注册ClinicalTrials.gov NCT04383041;https://clinicaltrials.gov/ct2/show/NCT04383041国际注册报告标识符(IRRID) RR2-10.2196/21727
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Evaluation of Self-care Activities and Quality of Life in Patients With Type 2 Diabetes Treated With Metformin Using the 2D Matrix Code of Outer Drug Packages as Patient Identifier: the DePRO Proof-of-Concept Observational Study
Background The use of digital technology to assess patients remotely can reduce clinical study costs. In the European Union, the 2D matrix code on prescription drug packaging serves as a unique identifier of a given package of medication, and thus, also of the patient receiving that medication. Scanning of the 2D matrix code may therefore allow remote patient authentication in clinical studies. Objective The aim of the DePRO study was to assess the feasibility of a fully digital data-capture workflow, the authentication of participants via drug packaging 2D matrix codes, in patients with type 2 diabetes mellitus (T2DM) who use metformin. The primary objective was to describe the self-care activities of these patients. Secondary objectives were to evaluate (1) the self-reported health status of these patients, (2) the association of self-care activities with demographics and disease characteristics, and (3) the usability of the my ePRO app. Methods DePRO was an observational, multicenter, cross-sectional, digital, and patient-driven study conducted in Germany from June to December 2020. Adult patients prescribed metformin were invited to participate via their pharmacist or a medication tracker app. Participants downloaded the my ePRO app onto their own mobile device, scanned the 2D matrix code on their metformin package for registration and authentication, and provided informed consent via an electronic form. They were then able to complete a study-specific questionnaire on demographics and clinical characteristics, the German version of the Summary of Diabetes Self-Care Activities measure (SDSCA-G), the Diabetes Treatment Satisfaction Questionnaire (DTSQ), and the EQ-5D-5L. The patients conducted the study without support from a health care professional. Statistical analyses were exploratory and descriptive. Results In total, 3219 patients were invited to participate. The proportion of patients giving consent was greater among those invited by pharmacists (19/217, 8.8%) than among those invited via the medication tracker app (13/3002, 0.4%). Of the 29 patients eligible for analysis, 28 (97%) completed all study questionnaires. Most of the patients (23/29, 79%) were aged <60 years, and 59% (17/29) were male. The patients spent a mean total of 3.5 (SD 1.3) days out of 7 days on self-care activities (SDSCA-G). Most patients (24/29, 83%) were satisfied to extremely satisfied with their current treatment (DTSQ). Events of perceived hyperglycemia or hypoglycemia were reported by 20 of 29 (69%) patients. The best possible health status (EQ-5D-5L) was reported by 18 of 28 (64%) patients. Age was positively correlated with time spent on general and specific diet (Spearman coefficient 0.390 and 0.434, respectively). Conclusions The DePRO study demonstrates the feasibility of fully digital authentication (via 2D matrix codes on drug packaging) and data capture in patients with T2DM. Personal invitations yielded higher recruitment rates than remote invitations via the medication tracker app. A high questionnaire completion rate was realized, based on completion by 28 out of 29 patients. Trial Registration ClinicalTrials.gov NCT04383041; https://clinicaltrials.gov/ct2/show/NCT04383041 International Registered Report Identifier (IRRID) RR2-10.2196/21727
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来源期刊
JMIR Diabetes
JMIR Diabetes Computer Science-Computer Science Applications
CiteScore
4.00
自引率
0.00%
发文量
35
审稿时长
16 weeks
期刊最新文献
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