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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 29, 2021
Date Accepted: Nov 4, 2021

The final, peer-reviewed published version of this preprint can be found here:

Digital Biomarkers for Supporting Transitional Care Decisions: Protocol for a Transnational Feasibility Study

Petsani D, Ahmed S, Petronikolou V, Kehayia E, Alastalo M, Santonen T, Merino-Barbancho B, Cea G, Segkouli S, Stavropoulos T, Billis A, Doumas M, Almeida R, Nagy E, Broeckx L, Bamidis P, Konstantinidis E

Digital Biomarkers for Supporting Transitional Care Decisions: Protocol for a Transnational Feasibility Study

JMIR Res Protoc 2022;11(1):e34573

DOI: 10.2196/34573

PMID: 35044303

PMCID: 8811685

Digital Biomarkers for supporting transitional care decisions: Protocol for a transnational feasibility study

  • Despoina Petsani; 
  • Sara Ahmed; 
  • Vasileia Petronikolou; 
  • Eva Kehayia; 
  • Mika Alastalo; 
  • Teemu Santonen; 
  • Beatriz Merino-Barbancho; 
  • Gloria Cea; 
  • Sofia Segkouli; 
  • Thanos Stavropoulos; 
  • Antonis Billis; 
  • Michael Doumas; 
  • Rosa Almeida; 
  • Enikő Nagy; 
  • Leen Broeckx; 
  • Panagiotis Bamidis; 
  • Evdokimos Konstantinidis

ABSTRACT

Background:

VITALISE is a H2020 project that aims to harmonize Living Lab procedures and facilitate the access to European Health and Wellbeing research infrastructures. In this context, this study presents a joint research activity (JRA) that will be conducted within VITALISE, in transitional care domain, in order to test and validate the harmonized Living Lab procedures and infrastructures. The collection of data from various sources (ICT, clinical and patient reported outcome measures) demonstrated capacity to assess risk and support decision during care transitions but there is no harmonized way of combining this information.

Objective:

This study primarily aims to evaluate the feasibility and benefit of collecting multichannel data across Living Labs on the topic of transitional care and to harmonize the data processes and collection. Secondly, we aim to investigate the collection and use of digital biomarkers and explore initial patterns in the data that demonstrate the potential to predict transition outcomes such as readmissions and adverse events.

Methods:

The current research protocol presents a multi-center, prospective, observational cohort study that will consist of three phases, running consecutively in multiple sites: a co-creation phase, a testing and simulation phase and a transnational pilot phase. The co-creation phase aims to build a common understanding among different sites, investigate the differences of hospitalization discharge management among countries and the willingness of different stakeholders to use technological solutions in the transitional care process. The testing and simulation phase aims to explore ways of integrating observation of a patient’s clinical condition, patient involvement and discharge education in transitional care. The objective of the simulation phase is to evaluate the feasibility and the barriers that are faced by a healthcare professional in assessing transition readiness. The transnational pilot phase takes input from co-creation and testing and stimulation phase. The aim is to pilot the already designed activities from previous phases and collect data to conduct a first predictive analysis.

Results:

The co-creation phase will be completed by April 2022. The testing and simulation phase will begin in September 2022 and will partially overlap with the deployment of the transnational pilot phase that will start the same month. The data collection of the transnational pilots will be finalized by the end of June 2023. Data processing is expected to be completed by March 2024. The results will consist of guidelines and implementation pathway for large scale study and the analysis for identifying initial patterns in the acquired data.

Conclusions:

The knowledge acquired though this research will lead to harmonized procedures and data collection for Living Labs that support transitions in care. In addition, this research contributes to the increase in capacity to perform Big Data analytics while accounting for each local context and across Living Labs.


 Citation

Please cite as:

Petsani D, Ahmed S, Petronikolou V, Kehayia E, Alastalo M, Santonen T, Merino-Barbancho B, Cea G, Segkouli S, Stavropoulos T, Billis A, Doumas M, Almeida R, Nagy E, Broeckx L, Bamidis P, Konstantinidis E

Digital Biomarkers for Supporting Transitional Care Decisions: Protocol for a Transnational Feasibility Study

JMIR Res Protoc 2022;11(1):e34573

DOI: 10.2196/34573

PMID: 35044303

PMCID: 8811685

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