“Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework

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 framewor...

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Main Authors: Zens, Martin, Woias, Peter, Suedkamp, Norbert P, Niemeyer, Philipp
Format: Article
Language:English
Published: JMIR Publications 2017-02-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2017/2/e23/
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spelling doaj-d51646e0ce7043fa9f8e314f8ff5415e2021-05-03T03:32:52ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222017-02-0152e2310.2196/mhealth.6259“Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit FrameworkZens, MartinWoias, PeterSuedkamp, Norbert PNiemeyer, Philipp 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.http://mhealth.jmir.org/2017/2/e23/
collection DOAJ
language English
format Article
sources DOAJ
author Zens, Martin
Woias, Peter
Suedkamp, Norbert P
Niemeyer, Philipp
spellingShingle Zens, Martin
Woias, Peter
Suedkamp, Norbert P
Niemeyer, Philipp
“Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
JMIR mHealth and uHealth
author_facet Zens, Martin
Woias, Peter
Suedkamp, Norbert P
Niemeyer, Philipp
author_sort Zens, Martin
title “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
title_short “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
title_full “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
title_fullStr “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
title_full_unstemmed “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
title_sort “back on track”: a mobile app observational study using apple’s researchkit framework
publisher JMIR Publications
series JMIR mHealth and uHealth
issn 2291-5222
publishDate 2017-02-01
description 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.
url http://mhealth.jmir.org/2017/2/e23/
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