A mobile application improves therapy-adherence rates in elderly patients undergoing rehabilitation: A crossover design study comparing documentation via iPad with paper-based control.
Medication adherence is crucial for success in the management of patients with chronic conditions. This study analyzes whether a mobile application on a tablet aimed at supporting drug intake and vital sign parameter documentation affects adherence in elderly patients.Patients with coronary heart disease and no prior knowledge of tablet computers were recruited. They received a personal introduction to the mobile application Medication Plan, installed on an Apple iPad. The study was conducted using a crossover design with 3 sequences: initial phase, interventional phase (28 days of using the app system), and comparative phase (28 days of using a paper diary). Users experienced the interventional and comparative phases alternately.A total of 24 patients (12 males; mean age 73.8 years) were enrolled in the study. The mean for subjectively assessed adherence (A14-scale; 5-point Likert scale, from "never" to "very often" which results in a score from 0 to 56) before the study was 50.0 (SD = 3.44). After both interventions there was a significant increase, which was more pronounced after the interventional phase (54.0; SD = 2.01) than after the comparative phase (52.6; SD = 2.49) (for all pairs after both interventions, P <0.001). Neither medical conditions nor the number of drug intake (amount and frequency of drug taking) per day affected subjective adherence. Logging data showed a significantly stronger adherence for the medication app than the paper system for both blood pressure recordings (P <0.001) and medication intake (P = 0.033). The majority of participants (n = 22) stated that they would like to use the medication app in their daily lives and would not need further assistance with the app.A mobile app for medication adherence increased objectively and subjectively measured adherence in elderly users undergoing rehabilitation. The findings have promising clinical implications: digital tools can assist chronic disease patients achieve adherence to medication and to blood pressure measurement. Although this requires initial offline training, it can reduce complications and clinical overload because of nonadherence.
Institute of Industrial Engineering and Ergonomics of RWTH Aachen University, Aachen, Germany Center for Medicine in the Public Interest, New York City, NY Marketing Department, Business School, Ono Academic College, Kiryat Ono, Israel Department of Cardiology, University Duisburg-Essen, Essen, Germany Institute for Drug Safety, University Hospital Essen, Essen, Germany Department of Nephrology, University Duisburg-Essen, Essen Fraunhofer Institute for Software and Systems Engineering, Dortmund, Germany School of Medicine, Divisions of General Internal Medicine and Nephrology, Duke University, Durham, NC Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig-Institute of Technology and Hannover Medical School, Hannover, Germany Institute for Transfusion Medicine, University Hospital Essen, Essen, Germany.
Alexander
A
Mertens
Christopher
C
Brandl
Talya
T
Miron-Shatz
Christopher
C
Schlick
Till
T
Neumann
Andreas
A
Kribben
Sven
S
Meister
Clarissa Jonas
CJ
Diamantidis
Urs-Vito
UV
Albrecht
Peter
P
Horn
Stefan
S
Becker
D000368:Aged; D000369:Aged, 80 and over; D000072038:Cardiac Rehabilitation; D034201:Computers, Handheld; D018592:Cross-Over Studies; D005260:Female; D006801:Humans; D008297:Male; D063731:Mobile Applications; D010349:Patient Compliance / Q000706:statistics & numerical data*