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MARIO Project: Validation in the Hospital Setting

  • Grazia D’OnofrioEmail author
  • Daniele Sancarlo
  • Massimiliano Raciti
  • Alessandro Russo
  • Francesco Ricciardi
  • Valentina Presutti
  • Thomas Messervey
  • Filippo Cavallo
  • Francesco Giuliani
  • Antonio Greco
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 544)

Abstract

In the EU funded MARIO project, specific technological tools are adopted for the patient with dementia (PWD). In the final stage of the project, two trials were completed as shown below: first trial was performed in September 2017, and second trial was performed in October 2017. The implemented and assessed applications (apps) are My Music app, My News app, My Games app, My Calendar app, My Family and Friends app, and Comprehensive Geriatric Assessment (CGA) app. The aim of the present study was to assess the acceptability and efficacy of MARIO companion robot on clinical, cognitive, neuropsychiatric, affective and social aspects, resilience capacity, quality of life in PWD, and burden level of the caregivers. Twenty patients (M = 8; F = 12) were screened for eligibility and all were included. In Pre- and Post-MARIO interaction, the following tests were administered: Mini-Mental State Examination (MMSE), Clock Drawing Test (CDT), Frontal Assessment Battery (FAB), Neuropsychiatric Inventory (NPI), Cornell Scale for Depression in Dementia (CSDD), Multidimensional Scale of Perceived Social Support (MSPSS), 14-item Resilience Scale (RS-14), Quality of Life in Alzheimer’s Disease (QOL-AD), Caregiver Burden Inventory (CBI), Tinetti Balance Assessment (TBA), and Comprehensive Geriatric Assessment (CGA) was carried out. A questionnaire based on the Almere Acceptance model was used to evaluate the acceptance of the MARIO robot. In Post-MARIO interaction, significant improvements were ob-served in the following parameters: MMSE (p = 0.023), NPI (p < 0.0001), CSDD (p = 0.010), RS-14 (p < 0.0001), QoL-AD patients (p = 0.040), CBI (p = 0.040), SPMSQ (p = 0.040), and MNA (p = 0.010). The Almere Model Questionnaire presented a higher acceptance level in first and second trial.

Keywords

Building resilience for loneliness and dementia Comprehensive geriatric assessment Caring service robots Acceptability Quality of life Quality of care Safety 

Notes

Acknowledgements

The research leading to the results described in this article has received funding from the European Union Horizons 2020—the Framework Programme for Research and Innovation (2014–2020) under grant agreement 643808 Project MARIO ‘Managing active and healthy aging with use of caring service robots’.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Grazia D’Onofrio
    • 1
    • 2
    Email author
  • Daniele Sancarlo
    • 1
  • Massimiliano Raciti
    • 3
  • Alessandro Russo
    • 4
  • Francesco Ricciardi
    • 5
  • Valentina Presutti
    • 4
  • Thomas Messervey
    • 6
  • Filippo Cavallo
    • 2
  • Francesco Giuliani
    • 7
  • Antonio Greco
    • 1
  1. 1.Fondazione Casa Sollievo della Sofferenza, Geriatric UnitSan Giovanni RotondoFoggiaItaly
  2. 2.The BioRobotics Institute, Scuola Superiore Sant′AnnaPontederaItaly
  3. 3.R2M Solution SrlCataniaItaly
  4. 4.Semantic Technology Laboratory (STLab)Institute for Cognitive Sciences and Technology (ISTC) - National Research Council (CNR)RomeItaly
  5. 5.Fondazione Casa Sollievo della Sofferenza, ICT, Innovation and Research UnitFoggiaItaly
  6. 6.R2M Solution SrlPaviaItaly
  7. 7.ICT, Innovation and Research UnitIRCCS “Casa Sollievo della Sofferenza”FoggiaItaly

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