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Related Concept Videos

Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Related Experiment Video

Updated: Mar 7, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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"Back on Track": A Mobile App Observational Study Using Apple's ResearchKit Framework.

Martin Zens1, Peter Woias2, Norbert P Suedkamp1

  • 1Department of Orthopedic Surgery and Traumatology, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany.

JMIR Mhealth and Uhealth
|March 2, 2017
PubMed
Summary
This summary is machine-generated.

Researchers developed a ResearchKit app to study decision-making in acute anterior cruciate ligament (ACL) ruptures. The app facilitated data collection, showing moderate dropout and good data quality, demonstrating ResearchKit

Keywords:
anterior cruciate ligament injurymHealthmobile health

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Area of Science:

  • Medical Research Technology
  • Digital Health Applications
  • Orthopedic Surgery Research

Background:

  • Apple Inc. introduced ResearchKit, an open-source framework for creating medical study apps.
  • Five beta apps were presented alongside ResearchKit's announcement in March 2015.

Purpose of the Study:

  • To understand decision-making processes in patients with acute anterior cruciate ligament (ACL) ruptures.
  • To describe the development of a ResearchKit application tailored for this specific patient cohort.

Main Methods:

  • A multilingual, observational study design was employed.
  • The ResearchKit framework was utilized for app development, ensuring secure data transmission via SSL.
  • A robust data storage and security concept was implemented, separating personal and study data, with consideration for ethical implications and privacy.

Main Results:

  • An app was successfully developed using ResearchKit, even without extensive iOS experience.
  • The Apple App Store served as a primary distribution channel, achieving significant downloads (>1,200/year) without active recruitment.
  • Preliminary analysis indicated moderate participant dropout rates and high-quality data, with 180 participants enrolled and 424 surveys completed.

Conclusions:

  • ResearchKit offers a user-friendly and potent framework for developing medical studies.
  • Key advantages include its modular design, broad accessibility via iOS devices, and efficient programming environment.