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

Christian Mueller, Isabel Schauerte, Stephan Martin, Valeska Irrgang, Christian Mueller, Isabel Schauerte, Stephan Martin, Valeska Irrgang

Abstract

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://ichgcp.net/clinical-trials-registry/NCT04383041.

International registered report identifier (irrid): RR2-10.2196/21727.

Keywords: BYOD; PRO; bring your own device; diabetes; diabetes mellitus, type 2; diabetes self management; digital health; digital observational study; health application; mHealth; mobile health; patient reported outcome; patient reported outcomes; quality of life; self-care activities; virtual care.

Conflict of interest statement

Conflicts of Interest: CM and VI are employees of Bayer Vital GmbH (Leverkusen, Germany). IS is the chief operating officer of Institut Dr. Schauerte, the contract research organization that was commissioned to conduct the DePRO study on behalf of Bayer. SM has received support from Bayer Vital GmbH.

©Christian Mueller, Isabel Schauerte, Stephan Martin, Valeska Irrgang. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 24.05.2022.

Figures

Figure 1
Figure 1
Flow chart of study participation. An individual patient could give multiple reasons for not agreeing to participate.

References

    1. Moore TJ, Heyward J, Anderson G, Alexander GC. Variation in the estimated costs of pivotal clinical benefit trials supporting the US approval of new therapeutic agents, 2015-2017: a cross-sectional study. BMJ Open. 2020 Jun 11;10(6):e038863. doi: 10.1136/bmjopen-2020-038863. bmjopen-2020-038863
    1. Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP, Apple Heart Study Investigators Large-scale assessment of a smartwatch to identify atrial fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909–1917. doi: 10.1056/NEJMoa1901183.
    1. Steinhubl SR, Waalen J, Edwards AM, Ariniello LM, Mehta RR, Ebner GS, Carter C, Baca-Motes K, Felicione E, Sarich T, Topol EJ. Effect of a home-based wearable continuous ECG monitoring patch on detection of undiagnosed atrial fibrillation: the mSToPS randomized clinical trial. JAMA. 2018 Jul 10;320(2):146–155. doi: 10.1001/jama.2018.8102. 2687353
    1. Yao X, Attia ZI, Behnken EM, Walvatne K, Giblon RE, Liu S, Siontis KC, Gersh BJ, Graff-Radford J, Rabinstein AA, Friedman PA, Noseworthy PA. Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial. Am Heart J. 2021 Sep;239:73–79. doi: 10.1016/j.ahj.2021.05.006.S0002-8703(21)00135-6
    1. Commission Delegated Regulation (EU) 2016/161 of 2 October 2015 supplementing Directive/83/EC of the European Parliament and of the Council by laying down detailed rules for the safety features appearing on the packaging of medicinal products for human use. The European Commission. 2016. [2022-05-05]. .
    1. Mueller C, Schauerte I, Martin S. Evaluation of self-care activities and quality of life in patients with type 2 diabetes mellitus treated with metformin using the 2D matrix code of outer drug packages as patient identifier: protocol for the DePRO proof-of-concept observational study. JMIR Res Protoc. 2021 Jan 11;10(1):e21727. doi: 10.2196/21727. v10i1e21727
    1. Bloomgarden ZT, Handelsman Y. Approaches to treatment 2: comparison of American Association of Clinical Endocrinologists (AACE) and American Diabetes Association (ADA) type 2 diabetes treatment guidelines. J Diabetes. 2016 Jan;8(1):4–6. doi: 10.1111/1753-0407.12345.
    1. American Diabetes Association Standards of medical care in diabetes-2016 abridged for primary care providers. Clin Diabetes. 2016 Jan;34(1):3–21. doi: 10.2337/diaclin.34.1.3. 3
    1. Powers MA, Bardsley J, Cypress M, Duker P, Funnell MM, Fischl AH, Maryniuk MD, Siminerio L, Vivian E. Diabetes self-management education and support in type 2 diabetes: a joint position statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. J Acad Nutr Diet. 2015 Aug;115(8):1323–34. doi: 10.1016/j.jand.2015.05.012.S2212-2672(15)00549-3
    1. Kamradt M, Bozorgmehr K, Krisam J, Freund T, Kiel M, Qreini M, Flum E, Berger S, Besier W, Szecsenyi J, Ose D. Assessing self-management in patients with diabetes mellitus type 2 in Germany: validation of a German version of the Summary of Diabetes Self-Care Activities measure (SDSCA-G) Health Qual Life Outcomes. 2014 Dec 18;12:185. doi: 10.1186/s12955-014-0185-1. s12955-014-0185-1
    1. Bradley C, Lewis KS. Measures of psychological well-being and treatment satisfaction developed from the responses of people with tablet-treated diabetes. Diabet Med. 1990 Jun;7(5):445–51. doi: 10.1111/j.1464-5491.1990.tb01421.x.
    1. Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L) Qual Life Res. 2011 Dec;20(10):1727–36. doi: 10.1007/s11136-011-9903-x.
    1. Brøgger-Mikkelsen Mette, Ali Z, Zibert JR, Andersen AD, Thomsen SF. Online patient recruitment in clinical trials: systematic review and meta-analysis. J Med Internet Res. 2020 Nov 04;22(11):e22179. doi: 10.2196/22179. v22i11e22179
    1. Baca-Motes K, Edwards AM, Waalen J, Edmonds S, Mehta RR, Ariniello L, Ebner GS, Talantov D, Fastenau JM, Carter CT, Sarich TC, Felicione E, Topol EJ, Steinhubl SR. Digital recruitment and enrollment in a remote nationwide trial of screening for undiagnosed atrial fibrillation: lessons from the randomized, controlled mSToPS trial. Contemp Clin Trials Commun. 2019 Jun;14:100318. doi: 10.1016/j.conctc.2019.100318. S2451-8654(18)30168-6
    1. Gabler M, Geier S, Mayerhoff L, Rathmann W. Cardiovascular disease prevalence in type 2 diabetes - an analysis of a large German statutory health insurance database. BMC Public Health. 2021 Feb 09;21(1):328. doi: 10.1186/s12889-021-10381-z. 10.1186/s12889-021-10381-z
    1. Bramlage P, Lanzinger S, van Mark G, Hess E, Fahrner S, Heyer CHJ, Friebe M, Seufert J, Danne T, Holl RW. Patient and disease characteristics of type-2 diabetes patients with or without chronic kidney disease: an analysis of the German DPV and DIVE databases. Cardiovasc Diabetol. 2019 Mar 16;18(1):33. doi: 10.1186/s12933-019-0837-x. 10.1186/s12933-019-0837-x
    1. Schunk M, Stark R, Reitmeir P, Meisinger C, Holle R. Towards patient-oriented diabetes care: results from two KORA surveys in southern Germany. J Diabetes Res. 2015;2015:368570. doi: 10.1155/2015/368570. doi: 10.1155/2015/368570.
    1. Ose D, Miksch A, Urban E, Natanzon I, Szecsenyi J, Kunz CU, Freund T. Health related quality of life and comorbidity. A descriptive analysis comparing EQ-5D dimensions of patients in the German disease management program for type 2 diabetes and patients in routine care. BMC Health Serv Res. 2011 Aug 02;11:179. doi: 10.1186/1472-6963-11-179. 1472-6963-11-179
    1. Derosa G, Romano D, Bianchi L, D'Angelo A, Maffioli P. Metformin powder formulation compared to metformin tablets on glycemic control and on treatment satisfaction in subjects with type 2 diabetes mellitus. J Clin Pharmacol. 2015 Apr;55(4):409–14. doi: 10.1002/jcph.415.
    1. Entwurf eines Gesetzes zum Schutz elektronischer Patientendaten in der Telematikinfrastruktur (Patientendaten-Schutz-Gesetz – PDSG) 2020. Deutscher Bundestag. 2020. Apr 27, [2021-06-16]. .

Source: PubMed

3
Subscribe