ArticleMedical sciences (Basel, Switzerland)2019
Evaluating Reach, Acceptability, Utility, and Engagement with An App-Based Intervention to Improve Medication Adherence in Patients with Coronary Heart Disease in the MedApp-CHD Study: A Mixed-Methods Evaluation.
Article in Medical sciences (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of Therapeutic Exercise Controlled Through App Adding Face-to-face Supervision Executed by Physical Therapist in the Subacute and Chronic Low Back Pain
Feasibility of Interventions Impacting Medication Adherence
Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study.JMIR human factors · 2025Trial
- The Added Value of Face-to-Face Supervision to a Therapeutic Exercise-Based App in the Management of Patients with Chronic Low Back Pain: A Randomized Clinical Trial.Sensors (Basel, Switzerland) · 2024Trial
- Testing the Effect of a Smartphone App on Hospital Admissions and Sedentary Behavior in Cardiac Rehabilitation Participants: ToDo-CR Randomized Controlled Trial.JMIR mHealth and uHealth · 2023Trial
- Development and efficacy of mobile application to improve medication adherence for persons with cardiac disease.ARYA atherosclerosis · 2024Article
- Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review.Diseases (Basel, Switzerland) · 2023Review
- Examining standardized tools used for the evaluation of mobile health applications for cardiovascular disease.Frontiers in public health · 2023Article
- Methods Used to Evaluate mHealth Applications for Cardiovascular Disease: A Quasi-Systematic Scoping Review.International journal of environmental research and public health · 2021Article
- Analysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study.JMIR mHealth and uHealth · 2021Review
- A Behavioral Change Smartphone App and Program (ToDo-CR) to Decrease Sedentary Behavior in Cardiac Rehabilitation Participants: Prospective Feasibility Cohort Study.JMIR formative research · 2020Article
- Digital Health Innovations to Improve Cardiovascular Disease Care.Current atherosclerosis reports · 2020Review
- A Pilot Study to Evaluate the Acceptability of Using a Smart Pillbox to Enhance Medication Adherence Among Primary Care Patients.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to assess the reach, acceptability, utility, and engagement with the apps that were used in the MEDication reminder APPlications (apps) to improve medication adherence in Coronary Heart Disease (MedApp-CHD) study, a randomised clinical trial to improve medication adherence, using a mixed-methods approach.
methodsThe MedApp-CHD study randomised 163 patients with coronary heart disease (CHD) to one of three groups: (i) usual care (
resultsNinety-four percent (98/104) of participants who received a medication reminder app completed the three-month feedback questionnaire and 15 participated in the focus group discussions. The themes that were identified included that participants (i) found the medication reminders useful in reminding them to take the medications on the correct time every day, (ii) liked having the medication list as an easily-accessible record of medications' names and dosages, (iii) reported being likely to continue to use the apps after the study completion, (iv) would be likely to recommend the apps to their family and friends, and (v) those who used the clinical measurements feature found it useful as a tool to track and graph the blood pressure and glucose levels over time (especially those with diabetes and/or hypertension). In addition, analytical data from the app software demonstrated that the participants used the medication-related features more than the clinical measurements feature. Furthermore, data from the patient screening logs showed that the main reason for exclusion, other than not meeting the CHD criteria, was not having a suitable smartphone, and those that were excluded for this reason were older and had a higher proportion of females than those enrolled in the study.
conclusionThis study provides important insights regarding the features that are most useful in apps that aim to improve medication adherence. This mixed-methods evaluation suggests that, currently, young male patients with CHD are more likely to use such apps, that the apps were well-accepted and useful in reminding the patients to take the medications, and that the patients were engaged in regularly using the apps.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.