Skip to main content
Log in

„Back on Track“: Kreuzbandstudie via Smartphone

Praxisbeispiel für die Möglichkeiten des Apple ResearchKit

Back on track: cruciate ligament study via smartphone

Practical example of possibilities for the Apple ResearchKit

  • Leitthema
  • Published:
Arthroskopie Aims and scope

Zusammenfassung

Hintergrund

Im März 2015 veröffentlichte Apple Inc. „ResearchKit“, ein neuartiges Open-source-Framework, um Ärzte und Wissenschaftler weltweit in die Lage zu versetzen, klinische Studien für mobile Endgeräte einfach erstellen zu können.

Fragestellung

In dieser Arbeit wird die Entwicklung einer Studien-App („Back on Track“) basierend auf ResearchKit beschrieben. Die Fragestellung der Studie ist die Therapieentscheidung bei Patienten mit akuten Rupturen des vorderen Kreuzbands (VKB).

Material und Methode

Eine mehrsprachige Observationsstudie wurde durchgeführt. Zunächst wurden ein passendes Forschungsthema, Zielgruppen und teilnehmende Regionen identifiziert. Die App-Entwicklung erfolgte unter Verwendung des ResearchKit-Frameworks. Ein sicherer Datenserver wurde aufgesetzt und eine verschlüsselte Kommunikation sichergestellt. Konzepte für die Datenspeicherung- und Datensicherheit zur Trennung von Studiendaten und persönlichen Daten wurden entworfen. Ethische Aspekte wurden betrachtet und im Rahmen des Datenschutzes berücksichtigt.

Ergebnisse

Eine mHealth-Studie basierend auf ResearchKit wurde ohne weitreichende iOS-Programmiererfahrung entwickelt. Der Apple App-Store ist ein wesentlicher Vertriebskanal, der signifikante Downloadraten (>1200/a) ohne aktive Rekrutierung ermöglicht. Vorläufige Datenanalysen zeigen moderate Abbruchquoten und eine gute Datenqualität. Aktuell sind 180 Teilnehmer in der Studie registriert. Derzeit nehmen 107 Probanden regelmäßig teil und haben bisher 424 vollständige Fragebögen erzeugt.

Schlussfolgerung

ResearchKit ist ein einfach zu nutzendes Framework und ein umfassendes Werkzeug zur Erstellung klinischer Studien. Vorteile sind der modulare Aufbau, die hohe Verbreitung von iOS-Geräten und eine komfortable Programmierumgebung.

Abstract

Background

In March 2015 Apple Inc. presented ResearchKit, a novel open source framework allowing doctors and researchers worldwide to simply create mobile device-based healthcare studies.

Objectives

In this article the development of a study app („Back on Track“) based on ResearchKit is described. The objective of the study was the decision-making process regarding treatment in patients with acute rupture of the anterior cruciate ligament (ACL).

Methods

A multilingual observational study was conducted. Initially a suitable research topic, target groups and participating regions were carefully identified. The ResearchKit framework was used to program the app. A secure server was set up and coded communicative connections were realized. A data storage and security concept separating personal information and study data was drafted. Ethical implications were considered and taken into account regarding privacy policies.

Results

An app study based on ResearchKit was developed without comprehensive experience in iPhone operating service (iOS) programming development. The Apple App Store is a major distribution channel allowing significant download rates (>1200/year) without active recruitment. Preliminary data analysis showed moderate drop-out rates and a good quality of data. Currently, 180 participants are enrolled with 107 actively participating and 424 completed questionnaires have been produced.

Conclusion

ResearchKit is an easy to use framework and a powerful tool for creating clinical studies. Advantages are the modular construction, the extensive distribution of iOS devices and the comfortable programming environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Abb. 1
Abb. 2
Abb. 3
Abb. 4

Literatur

  1. Agarwal S, Lau CT (2010) Remote health monitoring using mobile phones and Web services. Telemed J 16(5):603–607. doi:10.1089/tmj.2009.0165

    Article  Google Scholar 

  2. Apple Inc. Now everybody can do their part to advance medical research.. Apple Inc.. 2015-08-21. URL:http://www.apple.com/researchkit/. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awUjjopU)

  3. Apple Inc. ResearchKit for Developers. Apple Inc. https://developer.apple.com/researchkit/. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awV3MwqK)

  4. Apple Inc. Introducing ResearchKit. Apple Inc. http://researchkit.org/. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awW5vOaO)

  5. Apple Inc. Github – ResearchKit Framework. Apple Inc. https://github.com/ResearchKit/ResearchKit. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awVJ5njI)

  6. Becker S, Miron-Shatz T, Schumacher N et al (2014) mHealth 2.0: experiences, possibilities, and perspectives. JMIR Mhealth Uhealth 2(2):e24. doi:10.2196/mhealth.3328

    Article  PubMed  PubMed Central  Google Scholar 

  7. Bot BM, Suver C, Neto EC et al (2016) The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci Data 3:160011. doi:10.1038/sdata.2016.11

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Buchanan EA, Hvizdak EE (2009) Online survey tools: ethical and methodological concerns of human research ethics committees. J Empir Res Hum Res Ethics 4(2):37–48. doi:10.1525/jer.2009.4.2.37

    Article  PubMed  Google Scholar 

  9. Buijink AWG, Visser BJ, Marshall L (2013) Medical apps for smartphones: lack of evidence undermines quality and safety. Evid Based Med 18(3):90–92. doi:10.1136/eb-2012-100885

    Article  PubMed  Google Scholar 

  10. Chang CH (2007) Patient-reported outcomes measurement and management with innovative methodologies and technologies. Qual Life Res 16(Suppl 1):157–166. doi:10.1007/s11136-007-9196-2

    Article  PubMed  Google Scholar 

  11. Collins JE, Katz JN, Donnell-Fink LA et al (2013) Cumulative incidence of ACL reconstruction after ACL injury in adults: role of age, sex, and race. Am J Sports Med 41(3):544–549. doi:10.1177/0363546512472042

    Article  PubMed  PubMed Central  Google Scholar 

  12. Cortez MF, Chen C Thousands Have Already Signed Up for Apple’s ResearchKit. Bloomberg. http://www.bloomberg.com/news/articles/2015-03-11/apple-researchkit-sees-thousands-sign-up-amid-bias-criticism. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awZvWmPf)

  13. Elmer-DeWitt P You iPhone. Me iPod touch. Fortune.http://fortune.com/2009/06/16/you-iphone-me-ipod-touch/. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awp3Mw4D)

  14. Eysenbach G, Wyatt J (2002) Using the Internet for surveys and health research. J Med Internet Res 4(2):E13. doi:10.2196/jmir.4.2.e13

    Article  PubMed  PubMed Central  Google Scholar 

  15. Gianotti SM, Marshall SW, Hume PA et al (2009) Incidence of anterior cruciate ligament injury and other knee ligament injuries: a national population-based study. J Sci Med Sport 12(6):622–627. doi:10.1016/j.jsams.2008.07.005

    Article  PubMed  Google Scholar 

  16. Griffin LY, Agel J, Albohm MJ et al (2000) Noncontact anterior cruciate ligament injuries: risk factors and prevention strategies. J Am Acad Orthop Surg 8(3):141–150

    Article  CAS  PubMed  Google Scholar 

  17. Hixon T What Kind Of Person Prefers An iPhone?. Forbes. http://www.forbes.com/sites/toddhixon/2014/04/10/what-kind-of-person-prefers-an-iphone/. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awaaXyDT)

  18. Hodson H Apple ResearchKit and Watch will boost health research. New Scientist. https://www.newscientist.com/article/dn27123-apple-researchkit-and-watch-will-boost-health-research/. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awXiQCjL)

  19. Hunt SM, Bhopal R (2004) Self report in clinical and epidemiological studies with non-English speakers: the challenge of language and culture. J Epidemiol Community Health 58(7):618–622. doi:10.1136/jech.2003.010074

    Article  PubMed  PubMed Central  Google Scholar 

  20. Jardine J, Fisher J, Carrick B (2015) Apple’s ResearchKit: smart data collection for the smartphone era? J R Soc Med 108(8):294–296. doi:10.1177/0141076815600673

    Article  PubMed  Google Scholar 

  21. Lane TS, Armin J, Gordon JS (2015) Online recruitment methods for web-based and mobile health studies: A review of the literature. J Med Internet Res 17(7):e183. doi:10.2196/jmir.4359

    Article  PubMed  PubMed Central  Google Scholar 

  22. Liu C, Zhu Q, Holroyd KA et al (2011) Status and trends of mobile-health applications for iOS devices: A developer’s perspective. J Syst Softw 84(11):2022–2033. doi:10.1016/j.jss.2011.06.049

    Article  Google Scholar 

  23. Luxton DD, McCann RA, Bush NE et al (2011) mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Prof Psychol Res Pr 42(6):505–512. doi:10.1037/a0024485

    Article  Google Scholar 

  24. Morgan AJ, Jorm AF, Mackinnon AJ (2013) Internet-based recruitment to a depression prevention intervention: lessons from the Mood Memos study. J Med Internet Res 15(2):e31. doi:10.2196/jmir.2262

    Article  PubMed  PubMed Central  Google Scholar 

  25. NHS Innovations South East App Development: An NHS Guide for Developing Mobile Healthcare Applications. NHS UK. http://innovationssoutheast.nhs.uk/files/4214/0075/4193/98533_NHS_INN_AppDevRoad.pdf. Accessed: 2015-08-25. (Archived by WebCite® at http://www.webcitation.org/6b2uIUnjZ)

  26. Patrick K, Griswold WG, Raab F et al (2008) Health and the mobile phone. Am J Prev Med 35(2):177–181. doi:10.1016/j.amepre.2008.05.001

    Article  PubMed  PubMed Central  Google Scholar 

  27. Payne KFB, Wharrad H, Watts K (2012) Smartphone and medical related App use among medical students and junior doctors in the United Kingdom (UK): a regional survey. BMC Med Inform Decis Mak 12(1):121. doi:10.1186/1472-6947-12-121

    Article  PubMed  PubMed Central  Google Scholar 

  28. Price M, Yuen EK, Goetter EM et al (2014) mHealth: a mechanism to deliver more accessible, more effective mental health care. Clin Psychol Psychother 21(5):427–436. doi:10.1002/cpp.1855

    Article  PubMed  Google Scholar 

  29. Radcliffe S Will Apple’s ResearchKit Really Boost Medical Studies? Healthline. http://www.healthline.com/health-news/will-apples-researchkit-really-boost-medical-studies-031115. Accessed: 2015-08-21. (Archived by WebCite® at http://www.webcitation.org/6awTuweHb)

  30. Schweitzer J, Synowiec C (2012) The economics of eHealth and mHealth. J Health Commun 17(Suppl 1):73–81. doi:10.1080/10810730.2011.649158

    Article  PubMed  Google Scholar 

  31. Smith A (2013) Smartphone ownership – 2013 update. Pew Research Center, Washington DC, S 12

    Google Scholar 

  32. Uhorchak JM, Scoville CR, Williams GN et al (2003) Risk factors associated with noncontact injury of the anterior cruciate ligament: a prospective four-year evaluation of 859 West Point cadets. Am J Sports Med 31(6):831–842

    PubMed  Google Scholar 

Download references

Danksagung

Die Autoren danken der Firma DESIGN-IT GmbH (Frankfurt) für die Zusammenarbeit und Unterstützung bei den Programmiertätigkeiten. Kontakt: http://researchapps.de/.

Studienregister

Die Studie wurde registriert im Deutschen Register Klinischer Studien (DRKS) – https://www.germanctr.de: DRKS00009270.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Zens.

Ethics declarations

Interessenkonflikt

M. Zens, N.P. Südkamp und P. Niemeyer geben an, dass kein Interessenkonflikt besteht. Insbesondere hat keiner der Autoren ein finanzielles Interesse oder Beraterverträge mit Apple, Inc. oder einer Tochtergesellschaft.

Dieser Beitrag enthält keine Studien an Menschen oder Tieren.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zens, M., Südkamp, N.P. & Niemeyer, P. „Back on Track“: Kreuzbandstudie via Smartphone. Arthroskopie 29, 225–231 (2016). https://doi.org/10.1007/s00142-016-0098-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00142-016-0098-6

Schlüsselwörter

Keywords

Navigation