About the App
The primary goal of this dissertation study is to find if a specific multiplanar balance training home-based exercise program with electronic assistance is effective in reducing one’s fall risk category compared to the usual care model. This secondary outcome of this study is to indicate the adherence and feasibility of this program, as these are mediating factors in a program’s efficacy. Additionally, this study will investigate if this program has an impact on one’s quality of life, fear of falls, and balance performance. This program intends to provide an effective wellness and maintenance model for community-dwelling individuals 65 years of age and older who may be at risk for falls but do not receive a formal falls prevention intervention.
The SAFE app is a delivery mechanism for both the specific multiplanar balance training home-based exercise program and the usual care model. The SAFE app has two modes of delivery; written instructions with corresponding pictures, a video on how to perform this multiplanar balance training home-based exercise program. Additionally, the SAFE app sends daily notifications prompting individuals to complete the program and tracks each individual’s adherence to the program. Furthermore, The SAFE app provides a history of each individual’s activity engagement in their treatment group and tracks their timeline in completing this program. Moreover, the SAFE app has a feature for individuals to message the primary investigator.
Please leave review on the Apple appstore or Google playstore before the end of the program! We would really appreciate taking the input of how the app experience was, and how it can be improved for future iterations. Thank you!
Privacy and Security
To ensure HIPAA compliance, no personal information about the user to stored on the app or cloud storage. Data for this research study is split in two ways.
For the App:
A Unique Identifier (UID) will be generated for each patient. This unique identifier will be used to capture data and differentiate patient data without any patient specific identifiers. This unique identifier and the data generated by each unique identifier will be stored on a password protected Google Sheet to which is shared only with the App Developer (System Admin and App Owner (Dilshaad)
To login to the app the patient will use their unique identifier and password they created to login to the account.
On Primary Investigator Computer:
The unique identifier will be linked to the personal information of the patient (email and full name) and will be stored on a offline, password-protected database file (i.e. excel)
Only IRB approved personnel have access to this information