Digital Predictors of Morbidity, Hospitalization, and Mortality Among Older Adults: A Systematic Review and Meta-Analysis

Daniolou, Sofia; Rapp, Andreas; Haase, Celina; Ruppert, Alfred; Wittwer, Marlene; Scoccia Pappagallo, Alessandro; Pandis, Nikolaos; Kressig, Reto W.; Ienca, Marcello (2021). Digital Predictors of Morbidity, Hospitalization, and Mortality Among Older Adults: A Systematic Review and Meta-Analysis. Frontiers in digital health, 2 Frontiers Media 10.3389/fdgth.2020.602093

PredictorsMorbiditySR.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (5MB) | Preview

The widespread adoption of digital health technologies such as smartphone-based mobile applications, wearable activity trackers and Internet of Things systems has rapidly enabled new opportunities for predictive health monitoring. Leveraging digital health tools to track parameters relevant to human health is particularly important for the older segments of the population as old age is associated with multimorbidity and higher care needs. In order to assess the potential of these digital health technologies to improve health outcomes, it is paramount to investigate which digitally measurable parameters can effectively improve health outcomes among the elderly population. Currently, there is a lack of systematic evidence on this topic due to the inherent heterogeneity of the digital health domain and the lack of clinical validation of both novel prototypes and marketed devices. For this reason, the aim of the current study is to synthesize and systematically analyse which digitallymeasurable datamay be effectively collected through digital health devices to improve health outcomes for older people. Using a modified PICO process and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, we provide the results of a systematic review and subsequent meta-Analysis of digitally measurable predictors of morbidity, hospitalization, and mortality among older adults aged 65 or older. These findings can inform both technology developers and clinicians involved in the design, development and clinical implementation of digital Health technologies for elderly citizens.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > School of Dental Medicine > Department of Orthodontics

UniBE Contributor:

Pandis, Nikolaos


600 Technology > 610 Medicine & health




Frontiers Media




Renate Imhof-Etter

Date Deposited:

15 Feb 2021 14:09

Last Modified:

10 Mar 2021 16:31

Publisher DOI:





Actions (login required)

Edit item Edit item
Provide Feedback