Digital Competencies and Attitudes Toward Digital Adherence Solutions Among Elderly Patients Treated With Novel Anticoagulants: Qualitative Study

• Published in: Journal of medical Internet research Vol. 22; no. 1; p. e13077
• Main Authors: Herrmann, Maximilian, Boehme, Philip, Hansen, Arne, Jansson, Katharina, Rebacz, Patrick, Ehlers, Jan P, Mondritzki, Thomas, Truebel, Hubert
• Format: Journal Article
• Language: English
• Published: Canada Gunther Eysenbach MD MPH, Associate Professor 24.01.2020; JMIR Publications
• Subjects: Acceptance; Adherence; Aged; Anticoagulants; Anticoagulants - pharmacology; Anticoagulants - therapeutic use; Attitude; Attitudes; Autonomy; Averages; Chronic illnesses; Competence; Cooperation; Data collection; Disease; Dissertations & theses; Drugs; Female; Grounded theory; Humans; Interviews; Male; Medication Adherence - statistics & numerical data; Medicine; Morbidity; Multimedia; Older people; Original Paper; Patient compliance; Patient-centered care; Patients; Physician patient relationships; Qualitative Research; Saturation; Software; Technology; Telemedicine - methods; United States > US; digital device; elderly patients; digital health; smartphone; digital competencies; compliance; grounded theory; mHealth; medication adherence; delivery of health care; diffusion of innovation; eHealth
• ISSN: 1438-8871; 1439-4456; 1438-8871
• DOI: 10.2196/13077

Nonadherence to medication is a driver of morbidity and mortality, and complex medication regimens in patients with chronic diseases foster the problem. Digital technology might help, but despite numerous solutions being developed, none are currently widely used, and acceptance rates remain low, especially among the elderly. This study aimed to better understand and operationalize how new digital solutions can be evaluated. Particularly, the goal was to identify factors that help digital approaches targeting adherence to become more widely accepted. A qualitative study using a conceptual grounded theory approach was conducted. We included patients aged 65 years and older who routinely took new oral anticoagulants. To generate theses about the digital competencies of the target group with daily medication intake, face-to-face interviews were conducted, recorded, and anonymized. After coding the interviews, categories were generated, discussed, and combined with several theses until saturation of the statements was reached. The methodological approach led to the finding that after interviews in 20 of 77 potentially available patients, a saturation of statements was reached. The average patient's age was 75 years, and 50% (10/20) of the subjects were female. The data identified five main coding categories-Diseases and medicine, Technology, Autonomy, Patient narrative, and Attitude toward technologies-each including positive and negative subcategories. Main categories and subcategories were summarized as Adherence Radar, which can be considered as a framework to assess the potential of adherence solutions in the process of prototyping and can be applied to all adherence tools in a holistic manner. The Adherence Radar can be used to increase the acceptance rate of digital solutions targeting adherence. For a patient-centric design, an app should be adapted to the individual patient's needs. According to our results, this application should be based on gender and educational background as well as the individual physician-patient relationship. If used in a proper, individualized manner, digital adherence solutions could become a new cornerstone for the treatment of chronically ill individuals.