Water-Based Rehabilitation in the Elderly: Data Science Approach to Support the Conduction of a Scoping Review

Abstract

Water-based rehabilitation is a well-known approach that is useful for the prevention and management of many conditions. Its application in the elderly is quite common in clinical practice, but scientific evidence is limited. We conducted a scoping review on geriatric water-based rehabilitation using a methodology borrowed from data science to investigate and discuss the extensive literature data. We searched the papers on PubMed and we used the abstracts to collect different data. We imported them into an electronic database and we used its filters to build different graphical representations. The filters allowed the selections of specific modalities of a variable and the following visualization of the values of the other variables linked to that selected modality. A total of 49 papers were found and they confirmed the safety and usefulness of water-based rehabilitation. Our analysis was able to show the relationships among the variables and the differences in the elements considered for the analysis. The current literature shows some limitations, especially concerning the article types in some specific diseases and the outcome measurements. Future research can overcome these limitations by collecting more data on the diseases that affect old people, even with the use of precise outcome measures. Our described methodology can be potentially beneficial and other studies may confirm its utility.

Keywords

• rehabilitation
• elderly
• aquatic therapy
• balneotherapy
• big data
• data science