Basic smartphone-aided communication and leisure for people with extensive neuro-motor impairment and absence of speech.

BACKGROUND Individuals with extensive neuro-motor impairment and lack of speech tend to remain passive and isolated, and to rely on others for communication and leisure. While their problems are known, only limited evidence is available about intervention tools that could help them curb those problems. OBJECTIVE This study was aimed at upgrading and assessing a smartphone-based technology package, which was recently developed to help those individuals to independently engage in basic communication and leisure. METHODS The study included 11 non-ambulatory participants who had no speech or functional active communication. They were provided with (a) a Samsung A3 smartphone with Android 6.0 Operating System, which was fitted with WhatsApp Messenger and programmed via MacroDroid, and (b) cards fitted with radio frequency identification (RFID) tags. By bringing those cards in contact with the back of the smartphone, the participant could start a communication event (e.g., sending a message to a friend) or activate a leisure event (e.g., a song). The smartphone would automatically read to the participant any incoming messages. RESULTS During the baseline (i.e., when a standard smartphone was available), the participants were unable to engage in communication or leisure. Once the aforementioned technology package was introduced, the participants spent between about 65 and 85% of their session time engaging in communication and leisure. CONCLUSIONS The smartphone-based technology package seems to be a useful tool to support basic communication and leisure in individuals like those involved in this study.

[1]  H. Braak,et al.  The multisystem degeneration amyotrophic lateral sclerosis - neuropathological staging and clinical translation. , 2017, Archives Italiennes de Biologie.

[2]  Angappa Gunasekaran,et al.  Radio frequency identification (RFID): research trends and framework , 2010 .

[3]  Giulio E. Lancioni,et al.  Assistive technologies for people with diverse abilities , 2014 .

[4]  J. E. Carr,et al.  Assessing indices of happiness and unhappiness in individuals with developmental disabilities: a review , 2007 .

[5]  S. Macdonald Introducing the model of cognitive-communication competence: A model to guide evidence-based communication interventions after brain injury , 2017, Brain injury.

[6]  Gunilla C. Thunberg,et al.  Gaze-controlled communication technology for children with severe multiple disabilities: Parents and professionals’ perception of gains, obstacles, and prerequisites , 2018, Assistive technology : the official journal of RESNA.

[7]  Nirbhay N. Singh,et al.  An Upgraded Smartphone-Based Program for Leisure and Communication of People With Intellectual and Other Disabilities , 2018, Front. Public Health.

[8]  Extending the Assessment of Technology-Aided Programs to Support Leisure and Communication in People with Acquired Brain Injury and Extensive Multiple Disabilities , 2015, Perceptual and motor skills.

[9]  J. LeBlanc,et al.  Acute prediction of outcome and cognitive-communication impairments following traumatic brain injury: The influence of age, education and site of lesion. , 2018, Journal of communication disorders.

[10]  Chon-Haw Tsai,et al.  An Eye-Tracking Assistive Device Improves the Quality of Life for ALS Patients and Reduces the Caregivers’ Burden , 2014, Journal of motor behavior.

[11]  James A Lenker,et al.  Consumer perspectives on assistive technology outcomes , 2013, Disability and rehabilitation. Assistive technology.

[12]  T. Falkmer,et al.  Gaze-based assistive technology in daily activities in children with severe physical impairments–An intervention study , 2017, Developmental neurorehabilitation.

[13]  Chung-Feng Liu,et al.  An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems , 2013, BMC Medical Informatics and Decision Making.

[14]  M. B. Parsons,et al.  Identifying Indices of Happiness and Unhappiness Among Adults With Autism: Potential Targets for Behavioral Assessment and Intervention , 2012, Behavior analysis in practice.

[15]  Alexandra Basilakos Contemporary Approaches to the Management of Post-stroke Apraxia of Speech , 2018, Seminars in Speech and Language.

[16]  G. Wallis,et al.  Language as a Predictor of Motor Recovery: The Case for a More Global Approach to Stroke Rehabilitation , 2019, Neurorehabilitation and neural repair.

[17]  G. Lancioni Assistive Technology Programs to Support Persons with Neurodevelopmental Disorders , 2018, Advances in Neurodevelopmental Disorders.

[18]  Fabrizio Stasolla,et al.  Assistive technology-based programs to promote communication and leisure activities by three children emerged from a minimal conscious state , 2014, Cognitive Processing.

[19]  Antonio Nardone,et al.  Eye tracking communication devices in amyotrophic lateral sclerosis: Impact on disability and quality of life , 2013, Amyotrophic lateral sclerosis & frontotemporal degeneration.

[20]  Stuart Palmer,et al.  Technology and its role in rehabilitation for people with cognitive-communication disability following a traumatic brain injury (TBI) , 2017, Brain injury.

[21]  L. Trojano,et al.  Cognitive rehabilitation in non-communicative brain-damaged patients. , 2011, Functional neurology.

[22]  K. Hux,et al.  The effect of human engagement depicted in contextual photographs on the visual attention patterns of adults with traumatic brain injury. , 2017, Journal of communication disorders.

[23]  Varvara Turova,et al.  Mobile communication jacket for people with severe speech impairment , 2018, Disability and rehabilitation. Assistive technology.

[24]  Bronwyn Hemsley,et al.  Improving nurse-patient communication with patients with communication impairments: hospital nurses' views on the feasibility of using mobile communication technologies. , 2016, Applied nursing research : ANR.

[25]  M. Buchholz,et al.  Text messaging with pictures and speech synthesis for adolescents and adults with cognitive and communicative disabilities – professionals' views about user satisfaction and participation , 2013 .

[26]  V. Vimarlund,et al.  Digital technologies for social inclusion of individuals with disabilities , 2018, Health and Technology.

[27]  R. Spataro,et al.  The eye‐tracking computer device for communication in amyotrophic lateral sclerosis , 2014, Acta neurologica Scandinavica.

[28]  Nirbhay N. Singh,et al.  Assisting persons with advanced amyotrophic lateral sclerosis in their leisure engagement and communication needs with a basic technology-aided program. , 2015, NeuroRehabilitation.

[29]  Elizabeth J Lyons,et al.  Cultivating Engagement and Enjoyment in Exergames Using Feedback, Challenge, and Rewards. , 2015, Games for health journal.

[30]  A. Adlam,et al.  Technology-assisted rehabilitation interventions following pediatric brain injury. , 2018, Journal of neurosurgical sciences.

[31]  G. Lancioni,et al.  Technology-aided leisure and communication support in extensive neuro-motor and communication impairments: case series. , 2019, European journal of physical and rehabilitation medicine.

[32]  Viviana Perilli,et al.  A tablet-based program to enable people with intellectual and other disabilities to access leisure activities and video calls , 2018, Disability and rehabilitation. Assistive technology.

[33]  Lavoisier Leite Neto,et al.  Communication vulnerable in patients with Amyotrophic Lateral Sclerosis: A systematic review. , 2017, NeuroRehabilitation.

[34]  D. Moser,et al.  Brain damage associated with apraxia of speech: evidence from case studies , 2016, Neurocase.

[35]  Shirley A. Thomas,et al.  Professionals’ views on the use of smartphone technology to support children and adolescents with memory impairment due to acquired brain injury , 2017, Disability and rehabilitation. Assistive technology.

[36]  Edgar R. Rodríguez Ramírez,et al.  Motivators and barriers to using information and communication technology in everyday life following stroke: a qualitative and video observation study , 2019, Disability and rehabilitation.

[37]  B. Reisberg,et al.  The Global Deterioration Scale for assessment of primary degenerative dementia. , 1982, The American journal of psychiatry.

[38]  R. Henson,et al.  Social Validation of Evidence-Based Practices in Autism by Parents, Teachers, and Administrators , 2008, Journal of autism and developmental disorders.

[39]  K. Tjaden,et al.  Separate and Combined Influence of Cognitive Impairment and Dysarthria on Functional Communication in Multiple Sclerosis. , 2018, American journal of speech-language pathology.

[40]  C. Røe,et al.  Patterns of change and stability in caregiver burden and life satisfaction from 1 to 2 years after severe traumatic brain injury: A Norwegian longitudinal study. , 2017, NeuroRehabilitation.

[41]  Sara A. Whitcomb,et al.  Teaching Applied Behavior Analysis Knowledge Competencies to Direct-Care Service Providers: Outcome Assessment and Social Validation of a Training Program , 2010, Behavior modification.

[42]  Matthew C. Makel,et al.  Facts Are More Important Than Novelty , 2014 .

[43]  J. Spikman,et al.  Leisure and social participation in patients 4–10 years after aneurysmal subarachnoid haemorrhage , 2015, Brain injury.