Objectives: Wireless and mobile phone technology as a method of data collection will increase alongside conventional methods. The aim of the present study was to evaluate the use of a mobile phone application for recording symptoms and physical activity exertion during an experimental physical exercise study.
Materials And Methods: An experimental study on the effects of physical exercise on the well-being of menopausal women included 158 subjects between 44 and 63 years of age. The women were randomized into intervention and control groups. All participants in both groups reported daily symptoms by responding to morning and evening questionnaires via mobile phones. The usability of the mobile phone as a data collector tool was evaluated with the System Usability Scale (SUS) questionnaire 2 months after the intervention. The feasibility evaluation was based on the frequency of responses and open questions.
Results: The response rates were about 70% to both morning and evening questionnaires. The average frequency of responses (n =158) to morning questionnaires was 125 (±40)/170 (±14) and to evening questionnaires was 118 (±40)/171 (±14). The response rate did not differ between the intervention and the control groups. The SUS score was on average 75.4 (range, 0-100; n =107).
Conclusion: A mobile phone diary is a feasible and usable tool for data collection in clinical trials.
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http://dx.doi.org/10.1089/tmj.2011.0087 | DOI Listing |
F1000Res
January 2025
Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education,, Karnataka, Manipal, 576104, India.
Background: Better affordability of data plans and an increase in "budget" smartphones have resulted in an exponential rise in internet and smartphone users. The ease of access to sexually explicit material (SEM) coupled with adolescents' impulsivity makes them prone to excessive SEM exposure and may affect the development of sexuality via the perceived realism of such content. This study was done to study the influence between problematic smartphone usage (PSU) and sexuality development among late adolescent boys.
View Article and Find Full Text PDFProc ACM Interact Mob Wearable Ubiquitous Technol
March 2022
Northeastern University, Boston, MA.
Ecological momentary assessment (EMA) is used to gather self-report on behaviors using mobile devices. Microinteraction EMA (μEMA), is a type of EMA where each survey is that can be answered with a glanceable microinteraction on a smartwatch. Prior work shows that even when μEMA interrupts far more frequently than smartphone-EMA, μEMA yields higher response rates with lower burden.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
January 2025
Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Background: There has been a surge in the development of apps that aim to improve health, physical activity (PA), and well-being through behavior change. These apps often focus on creating a long-term and sustainable impact on the user. Just-in-time adaptive interventions (JITAIs) that are based on passive sensing of the user's current context (eg, via smartphones and wearables) have been devised to enhance the effectiveness of these apps and foster PA.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Gerontology, University of Nebraska at Omaha, Omaha, NE, United States.
Background: Technologies that serve as assistants are growing more popular for entertainment and aiding in daily tasks. Artificial intelligence (AI) in these technologies could also be helpful to deliver interventions that assist older adults with symptoms or self-management. Personality traits may play a role in how older adults engage with AI technologies.
View Article and Find Full Text PDFJMIR Form Res
January 2025
College of Nursing, The Ohio State University, Columbus, OH, United States.
Background: Researchers have encountered challenges in recruiting unpaid caregivers of people living with Alzheimer disease and related dementias for intervention studies. However, little is known about the reasons for nonparticipation in in-home smart health interventions in community-based settings.
Objective: This study aimed to (1) assess recruitment rates in a smart health technology intervention for caregivers of people living with Alzheimer disease and related dementias and reasons for nonparticipation among them and (2) discuss lessons learned from recruitment challenges and strategies to improve recruitment.
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