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Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson’s Disease

Author

Listed:
  • Elvira Maranesi

    (Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy)

  • Valentina Di Donna

    (Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 63900 Fermo, Italy)

  • Giuseppe Pelliccioni

    (Neurology Unit, IRCCS INRCA, 60127 Ancona, Italy)

  • Valentina Cameriere

    (Neurology Unit, IRCCS INRCA, 60127 Ancona, Italy)

  • Elisa Casoni

    (Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 60127 Ancona, Italy)

  • Renato Baldoni

    (Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 60127 Ancona, Italy)

  • Marco Benadduci

    (Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy)

  • Nadia Rinaldi

    (Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 63900 Fermo, Italy)

  • Lorenzo Fantechi

    (Clinical Unit of Nuclear Medicine, IRCCS INRCA, 60127 Ancona, Italy)

  • Cinzia Giammarchi

    (Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy)

  • Riccardo Luzi

    (Medical Direction, IRCCS INRCA, 60127 Ancona, Italy)

  • Paolo Pelliccioni

    (Eye Clinic, Polytechnic University of Marche, 60127 Ancona, Italy)

  • Mirko Di Rosa

    (Unit of Geriatric Pharmacoepidemiology, IRCCS INRCA, 60124 Ancona, Italy)

  • Pietro Scendoni

    (Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 63900 Fermo, Italy)

  • Giovanni Renato Riccardi

    (Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 60127 Ancona, Italy)

  • Roberta Bevilacqua

    (Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy)

Abstract

(1) Background: Parkinson’s Disease (PD) is one of the most common causes of disability among older individuals. The advanced stages of PD are usually characterized by postural instability and, as a consequence, falls. Those are among the main factors that determine the quality of life, as well as the morbidity and mortality of a person with PD. In the field of PD rehabilitation, robotics is also rapidly gaining ground. As a primary aim, we evaluate the acceptability of the technology integrated intervention, using the Psychosocial Impact of Assistive Devices Scale (PIADS), in order to analyze the attitude of the participants towards the Tymo ® system. As a secondary outcome, we assess the result of the rehabilitation treatment integrated with the Tymo ® system on several patient’s features. (2) Methods: We studied a population of 16 patients with Parkinson’s Disease. Each recruited subject completed 10 treatment sessions, organized as two training sessions per week, for 5 weeks. The intervention included 30 min of traditional therapy and 20 min of technological treatment with a robotic system. PIADS is composed of three subscales (Competence subscale, Adaptability subscale, Self-esteem subscale) ranging from −3 to +3, reflecting, respectively, a negative or positive feeling towards the device. (3) Results: The Competence subscale, measuring feelings of competence and usefulness, obtained a score of 1.24 (SD = 0.78). The score of Adaptability subscale, indicating a willingness to try out new things and to take risks, was 1.83 (SD = 0.65). Finally, the Self-esteem subscale, indicating feelings of emotional health and happiness, reached a score of 1.31 (SD = 0.72). Moreover, statistical analysis reveals a significant effect on balance performance after intervention. (4) Conclusions: This feasibility study represents a starting point in the use of technology in the rehabilitation pathway of patients affected by Parkinson’s Disease. In fact, our results suggest that a standard therapy combined with an innovative treatment using Tymo ® may be accepted by PD patients, which may benefit especially from preserving balance.

Suggested Citation

  • Elvira Maranesi & Valentina Di Donna & Giuseppe Pelliccioni & Valentina Cameriere & Elisa Casoni & Renato Baldoni & Marco Benadduci & Nadia Rinaldi & Lorenzo Fantechi & Cinzia Giammarchi & Riccardo Lu, 2022. "Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson’s Disease," IJERPH, MDPI, vol. 19(5), pages 1-11, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2655-:d:758048
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    References listed on IDEAS

    as
    1. Roberta Bevilacqua & Sara Casaccia & Gabriella Cortellessa & Arlene Astell & Fabrizia Lattanzio & Andrea Corsonello & Paola D’Ascoli & Susy Paolini & Mirko Di Rosa & Lorena Rossi & Elvira Maranesi, 2020. "Coaching Through Technology: A Systematic Review into Efficacy and Effectiveness for the Ageing Population," IJERPH, MDPI, vol. 17(16), pages 1-14, August.
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    1. Elvira Maranesi & Elisa Casoni & Renato Baldoni & Ilaria Barboni & Nadia Rinaldi & Barbara Tramontana & Giulio Amabili & Marco Benadduci & Federico Barbarossa & Riccardo Luzi & Valentina Di Donna & Pi, 2022. "The Effect of Non-Immersive Virtual Reality Exergames versus Traditional Physiotherapy in Parkinson’s Disease Older Patients: Preliminary Results from a Randomized-Controlled Trial," IJERPH, MDPI, vol. 19(22), pages 1-11, November.

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