ArticleJMIR mHealth and uHealth2017
"Back on Track": A Mobile App Observational Study Using Apple's ResearchKit Framework.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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
14 citing papers in PubMed, 32 citations in OpenAlex.
- App-Based Relaxation Exercises for Patients With Chronic Neck Pain: Pragmatic Randomized Trial.JMIR mHealth and uHealth · 2022Trial
- Motivating Adherence to Exercise Plans Through a Personalized Mobile Health App: Enhanced Action Design Research Approach.JMIR mHealth and uHealth · 2021Trial
- A Versatile and Scalable Platform That Streamlines Data Collection for Patient-Centered Studies: Usability and Feasibility Study.JMIR formative research · 2022Article
- Psilocybin microdosers demonstrate greater observed improvements in mood and mental health at one month relative to non-microdosing controls.Scientific reports · 2022Observational
- The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research.Frontiers in digital health · 2022Article
- The FDA MyStudies app: a reusable platform for distributed clinical trials and real-world evidence studies.JAMIA open · 2020Article
- Mobile apps for real-world evidence in health care.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- A ResearchKit app to deliver paediatric electronic consent: Protocol of an observational study in adolescents with arthritis.Contemporary clinical trials communications · 2020Article
- International ResearchKit App for Women with Menstrual Pain: Development, Access, and Engagement.JMIR mHealth and uHealth · 2020Article
- A Vendor-Independent Mobile Health Monitoring Platform for Digital Health Studies: Development and Usability Study.JMIR mHealth and uHealth · 2019Article
- Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study.JMIR research protocols · 2019Article
- Leveraging mobile health applications for biomedical research and citizen science: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Utilizing Consumer Technology (Apple's ResearchKit) for Medical Studies by Patients and Researchers: Proof of Concept of the Novel Platform REach.Journal of participatory medicine · 2018Article
- Development of a Modular Research Platform to Create Medical Observational Studies for Mobile Devices.JMIR research protocols · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn March 2015, Apple Inc announced ResearchKit, a novel open-source framework intended to help medical researchers to easily create apps for medical studies. With the announcement of this framework, Apple presented 5 apps built in a beta phase based on this framework.
objectiveThe objective of this study was to better understand decision making in patients with acute anterior cruciate ligament (ACL) ruptures. Here, we describe the development of a ResearchKit app for this study.
methodsA multilanguage observatory study was conducted. At first a suitable research topic, target groups, participating territories, and programming method were carefully identified. The ResearchKit framework was used to program the app. A secure server connection was realized via Secure Sockets Layer. A data storage and security concept separating personal information and study data was proposed. Furthermore, an efficient method to allow multilanguage support and distribute the app in many territories was presented. Ethical implications were considered and taken into account regarding privacy policies.
resultsAn app study based on ResearchKit was developed without comprehensive iPhone Operating System (iOS) development experience. The Apple App Store is a major distribution channel causing significant download rates (>1.200/y) without active recruitment. Preliminary data analysis showed moderate dropout rates and a good quality of data. A total of 180 participants were currently enrolled with 107 actively participating and producing 424 completed surveys in 9 out of 24 months.
conclusionsResearchKit is an easy-to-use framework and powerful tool to create medical studies. Advantages are the modular built, the extensive reach of iOS devices, and the convenient programming environment.
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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.