MARIO Project: Experimentation in the Hospital Setting

Grazia D’Onofrio, Daniele Sancarlo, Massimiliano Raciti, Diego Reforgiato, Antonio Mangiacotti, Alessandro Russo, Francesco Ricciardi, Alessandra Vitanza, Filippo Cantucci, Valentina Presutti, Thomas Messervey, Stefano Nolfi, Filippo Cavallo, Eva Barret, Sally Whelan, Dympna Casey, Francesco Giuliani, Antonio Greco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the EU funded MARIO project, specific technological tools are adopted for the patient with dementia (PWD). At this stage of the project, the experimentation phase is under way, and the first two trials were completed as shown below: the first trial was performed in November 2016, and second trial was performed in April 2017. The current 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 provide a preliminary analysis of 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. Thirteen patients [5 patients (M = 3; F = 2) in first trial, and 8 patients (M = 6; F = 2) in second trial] were screened for eligibility and all were included. At admission and at discharge, the following tests were administered: Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Clock Drawing Test (CDT), Frontal Assessment Battery (FAB), Hachinski Ischemic Scale (HIS), Neuropsychiatric Inventory (NPI), Geriatric Depression Scale (GDS), Hamilton Rating Scale for Depression (HDRS-21), Multidimensional Scale of Perceived Social Support (MSPSS), Social Dysfunction Rating Scale (SDRS), Brief Resilience Scale (BRS), 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 Al-mere Acceptance model was used to evaluate the acceptance of the MARIO robot. During the first trial, My Music, My Games and My News apps were used. At discharge, no significant improvement was shown through the above questionnaires. During the second trial, My Music, My Games, My News, My Calendar, My Family and Friends, and CGA apps were used. At discharge, significant improvements were observed in the following parameters: NPI (p = 0.027), GDS-15 (p = 0.042), and BRS (p = 0.041), CBI (p = 0.046). Instead, the number of medications is increased at discharge (p = 0.038). The mean of hospitalization days is 5.6 ± 3.9 (range = 3–13 days). The Almere Model Questionnaire suggested, a higher acceptance level was shown in first and second trial.

Original languageEnglish
Title of host publicationAmbient Assisted Living - Italian Forum 2017
EditorsNiccolò Casiddu, Claudia Porfirione, Filippo Cavallo, Andrea Monteriù
PublisherSpringer Verlag
Pages289-303
Number of pages15
ISBN (Print)9783030046712
DOIs
Publication statusPublished - Jan 1 2019
Event8th Italian Forum on Ambient Assisted Living, ForitAAL 2017 - Genova, Italy
Duration: Jun 12 2017Jun 15 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume540
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference8th Italian Forum on Ambient Assisted Living, ForitAAL 2017
CountryItaly
CityGenova
Period6/12/176/15/17

Keywords

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

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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