"Back on Track": A Mobile App Observational Study Using Apple's ResearchKit Framework

被引:17
|
作者
Zens, Martin [1 ]
Woias, Peter [2 ]
Suedkamp, Norbert P. [1 ]
Niemeyer, Philipp [1 ]
机构
[1] Univ Freiburg, Univ Med Ctr Freiburg, Dept Orthoped Surg & Traumatol, Hugstetter Str 55, D-79106 Freiburg, Germany
[2] Univ Freiburg, Dept Microsyst Engn IMTEK, Design Microsyst, Freiburg, Germany
来源
JMIR MHEALTH AND UHEALTH | 2017年 / 5卷 / 02期
关键词
mHealth; mobile health; anterior cruciate ligament injury; HEALTH; SMARTPHONE; RECRUITMENT; INTERNET; MHEALTH; INJURY;
D O I
10.2196/mhealth.6259
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: In 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. Objective: The 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. Methods: A 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. Results: An 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. Conclusions: ResearchKit 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.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study
    Brower, Jacob
    LaBarge, Monica C.
    White, Lauren
    Mitchell, Marc S.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (08)
  • [32] Using a Mobile Phone App to Analyze the Relationship Between Planned and Performed Physical Activity in University Students: Observational Study
    Stewart, Matthew T.
    Nezich, Taylor
    Lee, Joyce M.
    Hasson, Rebecca E.
    Colabianchi, Natalie
    [J]. JMIR MHEALTH AND UHEALTH, 2021, 9 (04):
  • [33] Feasibility and Usability of the Job Adjustment Mobile App for Pregnant Women: Longitudinal Observational Study
    Wada, Aya
    Nakamura, Yasuka
    Kawajiri, Maiko
    Takeishi, Yoko
    Yoshida, Mikako
    Yoshizawa, Toyoko
    [J]. JMIR FORMATIVE RESEARCH, 2023, 7
  • [34] Istiqamah App: A Mobile Application for Sunnah and Hadith reminder using Flutter framework
    Aminuddin, Raihah
    Khan, Nor Ashikin Mohamed Noor
    Noor, Mohamad Hakimi Mohamad
    Ismail, Ihsan
    Isa, Mohd Ali Mohd
    Elias, Siti Soraya Mohd
    Johan, Syafiqah Johan Amir
    Kamsani, Yuhaniza Shafinie
    Ilias, Noor Fatihah
    [J]. 2022 IEEE 18TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & APPLICATIONS (CSPA 2022), 2022, : 237 - 242
  • [35] Improved exercise therapy compliance in patients with chronic back pain using a mobile app
    Mittermayer, Florian
    Tilscher, Hans
    [J]. MANUELLE MEDIZIN, 2019, 57 (01) : 42 - 47
  • [36] An Evaluation of a Mobile App for Chronic Low Back Pain Management: Prospective Pilot Study
    Browne, Jonathan D.
    Vaninetti, Michael
    Giard, David
    Kostas, Konstantinos
    Dave, Ankur
    [J]. JMIR FORMATIVE RESEARCH, 2022, 6 (10)
  • [37] Data Descriptor: The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit
    Webster, Dan E.
    Suver, Christine
    Doerr, Megan
    Mounts, Erin
    Domenico, Lisa
    Petrie, Tracy
    Leachman, Sancy A.
    Trister, Andrew D.
    Bot, Brian M.
    [J]. SCIENTIFIC DATA, 2017, 4
  • [38] Applying SFIA framework in ITI Mobile Application Development Track: Case Study
    El Banna, Rasha
    Farouk, Hesham
    Saleh, Heba
    [J]. INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES, 2016, 10 : 1 - 5
  • [39] It's Time There Was an App for That Too: A Usability Study of Mobile Timebanking
    Han, Kyungsik
    Shih, Patrick C.
    Bellotti, Victoria
    Carroll, John M.
    [J]. INTERNATIONAL JOURNAL OF MOBILE HUMAN COMPUTER INTERACTION, 2015, 7 (02) : 1 - 22
  • [40] Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS)
    Escriche-Escuder, Adrian
    De-Torres, Irene
    Roldan-Jimenez, Cristina
    Martin-Martin, Jaime
    Muro-Culebras, Antonio
    Gonzalez-Sanchez, Manuel
    Ruiz-Munoz, Maria
    Mayoral-Cleries, Fermin
    Biro, Attila
    Tang, Wen
    Nikolova, Borjanka
    Salvatore, Alfredo
    Cuesta-Vargas, Antonio, I
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (24) : 1 - 16