ArticlePloS one2015
Demographic and health related data of users of a mobile application to support drug adherence is associated with usage duration and intensity.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.
- Gamification for Older Adults: A Systematic Literature Review.The Gerontologist · 2021Pooled it
- Patient Engagement in a Mobile App-Based Rehabilitation Program for Total Hip or Knee Arthroplasty: Secondary Data Analysis of a Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Trial
- Remote Usability Testing and Satisfaction with a Mobile Health Medication Inquiry System in CKD.Clinical journal of the American Society of Nephrology : CJASN · 2015Trial
- Prospective cohort study of eDiary acute pain assessments in sickle cell disease during third trimester and postpartum.Blood advances · 2025Article
- Supporting Self-Management of Healthy Behaviors in Chronic Kidney Disease and Hypertension: The Supporting Self-Management of Healthy Behaviors Pilot Randomized Trial.Clinical journal of the American Society of Nephrology : CJASN · 2024Article
- Smart About Meds (SAM): a pilot randomized controlled trial of a mobile application to improve medication adherence following hospital discharge.JAMIA open · 2021Article
- Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review.Journal of medical Internet research · 2021Article
- Mobile Breast Cancer e-Support Program for Chinese Women With Breast Cancer Undergoing Chemotherapy (Part 3): Secondary Data Analysis.JMIR mHealth and uHealth · 2020Article
- How can patient-held lists of medication enhance patient safety? A mixed-methods study with a focus on user experience.BMJ quality & safety · 2020Article
- Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement.Journal of medical Internet research · 2020Article
- Compliance and Utility of a Smartphone App for the Detection of Exacerbations in Patients With Chronic Obstructive Pulmonary Disease: Cohort Study.JMIR mHealth and uHealth · 2020Article
- A Mobile Phone App-Based Tai Chi Training in Parkinson's Disease: Protocol for a Randomized Controlled Study.Frontiers in neurology · 2020Article
- Assessment of a Mobile App by Adolescents and Young Adults With Cystic Fibrosis: Pilot Evaluation.JMIR mHealth and uHealth · 2019Article
- Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).British journal of haematology · 2018Article
- A Novel mHealth Approach for a Patient-Centered Medication and Health Management System in Taiwan: Pilot Study.JMIR mHealth and uHealth · 2018Article
- Article
- Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus.Current cardiology reports · 2016Review
- Mobile Apps in Oncology: A Survey on Health Care Professionals' Attitude Toward Telemedicine, mHealth, and Oncological Apps.Journal of medical Internet research · 2016Article
- Observational
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeA wealth of mobile applications are designed to support users in their drug intake. When developing software for patients, it is important to understand the differences between individuals who have, who will or who might never adopt mobile interventions. This study analyzes demographic and health-related factors associated with real-life "longer usage" and the "usage-intensity per day" of the mobile application "Medication Plan".
methodsBetween 2010-2012, the mobile application "Medication Plan" could be downloaded free of charge from the Apple-App-Store. It was aimed at supporting the regular and correct intake of medication. Demographic and health-related data were collected via an online questionnaire. This study analyzed captured data.
resultsApp-related activities of 1799 users (1708 complete data sets) were recorded. 69% (1183/1708) applied "Medication Plan" for more than a day. 74% were male (872/1183), the median age 45 years. Variance analysis showed a significant effect of the users' age with respect to duration of usage (p = 0.025). While the mean duration of use was only 23.3 days for users younger than 21 years, for older users, there was a substantial increase over all age cohorts up to users of 60 years and above (103.9 days). Sex and educational status had no effect. "Daily usage intensity" was directly associated with an increasing number of prescribed medications and increased from an average of 1.87 uses per day and 1 drug per day to on average 3.71 uses per day for users stating to be taking more than 7 different drugs a day (p<0.001). Demographic predictors (sex, age and educational attainment) did not affect usage intensity.
conclusionUsers aged 60+ as well as those with complicated therapeutic drug regimens relied on the service we provided for more than three months on average. Mobile applications may be a promising approach to support the treatment of patients with chronic conditions.
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