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New Technologies in Rehabilitation and Mental Health

Code: RPSM02     Acronym: NTRSM

Keywords
Classification Keyword
OFICIAL Social Science

Instance: 2020/2021 - 2S (since 08-02-2021 to 29-05-2021) Ícone do Moodle

Active? Yes
Web Page: http://modle.up.pt
Responsible unit: Psychology
Course/CS Responsible: Master in Psychology Themes

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MTP 16 Official Curricular Structure 1 - 6 54 162

Teaching language

Portuguese

Objectives

- To improve knowledge about New and Assistive Technology, relevant for rehabilitation and social integration process.

- To define New and Assistive Technology and articulate them with psychosocial rehabilitation

- To identify and characterize the main contexts of use of new technologies as a tool for psychosocial rehabilitation and social integration.

- To identify the characteristics and social implications of the information society.

- To educate potential users in the procedures of choice and acquisition of new technologies and support technologies for the development of functional skills or trim adjustment of environmental contexts.

Learning outcomes and competences

The contents are consistent with the objectives of the course, since this was designed to introduce the key concepts of Assistive and New Technologies, and then for explore their application in different phases and fields of Psychosocial Rehabilitation.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Not applicable.

Program

- The assistive and new technologies in rehabilitation and social integration: concepts, research and development.
- Assistive and new technologies as an instrument of autonomy in the various fields of human functioning and to promoting social participation.
 - Human diversity and accessibility: inclusive design, ergonomics of products and adaptation of the social environments.
- The information society: digital inclusion and exclusion.

- Tele-health, e-health and m-health.

- Gamification in Rehabilitation and Mental Health field.

- Virtual and augmented reality in Rehabilitation and Mental Health field.

- Digital Platforms, Bigdata and Artificial Intelligence in Rehabilitation and Mental Health field.

- Biosensors and bio and neurofeedback systems in Rehabilitation and Mental Health field.

- Apps and simulators in mental health and mental disorders management.

 

Mandatory literature

Almeida, A.R., Couto, A., Marques, A., Queirós, C., & Martins, C.; Mobile application for self-management in schizophrenia: a pilot study. Journal of Technology in Human Services, 1-12. doi: 10.1080/15228835.2018.1483859, 2018
Almeida, R.S., Sousa, T.J., Couto, A.S., Marques, A.J., Queirós, C., Martins, C.L; Development of weCope, a mobile app for illness self-management in schizophrenia. Archives of Clinical Psychiatry (Brasil), 46(1), 1-4. doi:10.1590/0101-60830000000182, 2019
Alves, S., Marques, A., Queirós, C. & Orvalho, V. ; LIFEisGAME Prototype: A Serious Game about Emotions for Children with Autism Spectrum Disorders. PsychNology Journal, 11(3), 191-211., 2013
Biagianti B, Hidalgo-Mazzei D, Meyer N. (2017). ; Developing digital interventions for people living with serious mental illness: perspectives from three mHealth studies. Evidence-Based Mental Health, 20, 98-101.
Blackhurst, A; A functional approach to the delivery of assistive technology services. Lexington: University Kentucky, 2001
Brown, M., O'Neill, N., van Woerden, H., Eslambolchilar, P., Jones, M., & John, A. (2016). ; Gamification and Adherence to Web-Based Mental Health Interventions: A Systematic Review. JMIR Ment Health, 3(3), e39. doi:10.2196/mental.5710
Campbell, P. et al. ; Adaptation interventions to promote participation in natural settings. Infants & Young Children, 21, 94-106. , 2008
Carswell, K., Harper-Shehadeh, M., Watts, S., Van't Hof, E., Abi Ramia, J., Heim, E., … van Ommeren, M. ; ). Step-by-step: A new WHO digital mental health intervention for depression. mHealth, 4(34), 1-7. doi:10.21037/mhealth.2018.08.01, 2018
Chandrashekar P. (2018). ; Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps. mHealth, 4, 6. doi:10.21037/mhealth.2018.03.02
Dunst, C. & Trivette, C. ; Evidence-Based strategies for training adults to use assistive technology and adaptations, Research Brief, 5, 1-6. , 2011
Hilty, D. M., Randhawa, K., Maheu, M. M., McKean, A. J. S., Pantera, R., Mishkind, M. C., & Rizzo, A. “Skip.” ; A review of telepresence, virtual reality, and augmented reality applied to clinical care. Journal of Technology in Behavioral Science, 5(2), 178-205. doi:10.1007/s41347-020-00126-x , 2020
Katz, A. C., Norr, A. M., Buck, B., Fantelli, E., Edwards-Stewart, A., Koenen-Woods, P., … Andrasik, F; Changes in physiological reactivity in response to the trauma memory during prolonged exposure and virtual reality exposure therapy for posttraumatic stress disorder. Psychological Trauma: Theory, Research, Practice, and Policy, Advanced online publication, 1-, 2020
Macedo, M., Marques, A., & Queirós, C. (2015). ; Virtual Reality in Schizophrenia: A systematic review. Jornal Brasileiro de Psiquiatria, 64(1), 70-81. doi:10.1590/0047-2085000000059, 2015
Marques, A., Queirós, C. & Rocha, N. (2008). ; Virtual Reality and Neuropsychology: a Cognitive Rehabilitation approach for people with Psychiatric Disabilities. In P. Sharkey et al. Proceedings of 7th ICDVRAT, Maia, Portugal (39-46).
Marsha, L., Lord, S. & Darley, J. (2015). ; Behavioral Healthcare and Technology: using Science-Based Interventions to Transform Practice. New York: Oxford University Press.
Muñoz-Saavedra, L., Miró-Amarante, L., & Domínguez-Morales, M. (2020). ; ). Augmented and virtual reality evolution and future tendency. Applied Sciences, 10(1), 1-23. doi:10.3390/app10010322
Pramana, G., Parmanto, B., Lomas, J., Lindhiem, O., Kendall, P. C., & Silk, J. (2018). ; Using Mobile Health Gamification to Facilitate Cognitive Behavioral Therapy Skills Practice in Child Anxiety Treatment: Open Clinical Trial. JMIR Serious Games, 6(2), e9.
Queirós, C., Oliveira, S., Fonseca, S. M., & Marques, A. (2020; Stress no trabalho e indicadores fisiológicos: um estudo com wearable sensors. Psicologia, Saúde & Doenças, 21(1), 183-190. doi:10.15309/20psd210127
Riva, G. (2020). ; Virtual Reality. The palgrave encyclopedia of the possible, 1-10. doi:10.1007/978-3-319-98390-5_34-1
Schwartz, M. S., & Andrasik, F. (2017). ; Biofeedback, Fourth Edition: A Practitioner's Guide. New York, NY: Guilford Publications.
Souto, T., Baptista, A., Tavares, D., Queirós, C. & Marques, A. (2013). ; Facial emotional recognition in schizophrenia: Preliminary results of the virtual reality program for facial emotional recognition. Revista de Psiquiatria Clínica (Brasil), 40(4), 129-134. doi:10.1590/S0101-60832013000400001
Souto, T., Silva, H., Leite, A., Baptista, A., Queirós, C., & Marques, A. (2019). ; Facial emotion recognition: Virtual reality program for facial emotion recognition - a trial program targeted at individuals with schizophrenia. Rehabilitation Counseling Bulletin, 0(0), 1-12. doi:10.1177/0034355219847284

Complementary Bibliography

Beer, U. M., Neerincx, M. A., Morina, N., & Brinkman, W. P. (2017). ; Virtual agent-mediated appraisal training: A single case series among Dutch firefighters. European Journal of Psychotraumatology, 8(1), 1-11. doi:10.1080/20008198.2017.1378053
Caroca, J., Bruno, M. A., & Aldunate, R. (2016). ; Situated learning based on virtual environment for improving disaster risk reduction. Journal of E-Learning & Knowledge Society, 12(4), 81-92. doi:10.20368/1971-8829/1192
Dibbets, P. (2019). ; A novel virtual reality paradigm: Predictors for stress-related intrusions and avoidance behavior. Journal of Behavior Therapy and Experimental Psychiatry. doi:10.1016/j.jbtep.2019.01.001
Dyck, M. et al. (2010).; Virtual faces as a tool to study emotion recognition deficits in schizophrenia. Psychiatry Research, 179, 247-252. Evans
Evans, C. P., Chiarovano, E., & MacDougall, H. G. (2020). ; The potential benefits of personalized 360 video experiences on affect: A proof-of-concept study. Cyberpsychology, Behavior, and Social Networking, 23(2), 134-138. doi:10.1089/cyber.2019.0241
Fanfarova, A., & Maris, L. (2017). ; Simulation tool for fire and rescue services. Procedia Engineering, 192, 160–165. doi:10.1016/j.proeng.2017.06.028
Heber, E., Ebert, D. D., Lehr, D., Cuijpers, P., Berking, M., Nobis, S., & Riper, H. (2017). ; The benefit of web- and computer-based interventions for stress: A systematic review and meta-analysis. Journal of Medical Internet Research, 19(2). doi:10.2196/jmir.5774
Jimenez, P., & Bregenzer, A. (2018). ; Integration of eHealth tools in the process of workplace health promotion: proposal for design and implementation. Journal of Medical Internet Research, 20(2), 1-13. doi:10.2196/jmir.8769
Liu, S., Yang, L., Zhang, C., Xiang, Y. T., Liu, Z., Hu, S., & Zhang, B. (2020). ; Online mental health services in China during the COVID-19 outbreak. The Lancet Psychiatry, 7(4), e17–e18. doi:10.1016/S2215-0366(20)30077-8
Morland, L., Greene, C., Rosen, C., Kuhn, E., Hoffman, J., & Sloan, D. (2017). ; Telehealth and ehealth interventions for posttraumatic stress disorder. Current Opinion in Psychology, 14, 102–108. doi:10.1016/j.copsyc.2016.12.003
Parsons, T., Gaggioli, A., & Riva, G. (2017). ; Virtual reality for research in social neuroscience. Brain Sciences, 7(12), 42. doi:10.3390/brainsci7040042
Quintas, S. M. (2019). ; Realidade virtual e simulação de incidentes críticos para gestão de stress e emoções em profissionais de saúde. Programa Doutoral em Psicologia. Porto: FPCEUP.
Stiens, L. S., Barnett, N., Tountas, A., Finseth, T., Keren, N., & Shirtcliff, E. (2019). ; Utility of virtual reality for physiological stress responsivity. Psychoneuroendocrinology, 100, S13. doi:10.1016/j.psyneuen.2018.12.058
Wind, T. R., Rijkeboer, M., Andersson, G., & Riper, H. (2020). ; The COVID-19 pandemic: The “black swan” for mental health care and a turning point for e-health. Internet Interventions, 20, 100317. doi:10.1016/j.invent.2020.100317
Zhou, X., Snoswell, C., Harding, L., Bambling, M., Edirippulige, S., Bai, X., & Smith, A. (2020). ; The role of telehealth in reducing the mental health burden from COVID-19. Telemedicine Journal and e-Health, 26(4), 1-3. doi: 10.1089/tmj.2020.0068
Zimmer, P., Buttlar, B., Halbeisen, G., Walther, E., & Domes, G. (2019). ; Virtually stressed? A refined virtual reality adaptation of the Trier Social Stress Test (TSST) induces robust endocrine responses. Psychoneuroendocrinology, 101, 186–192. doi:10.1016/j.psyneuen.2018.11.010

Teaching methods and learning activities

Theoretical and practical classes with topics presentation and discussion.

Evaluation Type

Evaluation with final exam

Assessment Components

designation Weight (%)
Exame 100,00
Participação presencial 0,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 54,00
Frequência das aulas 54,00
Trabalho de investigação 54,00
Total: 162,00

Eligibility for exams

The students must have the minimum of 9.5 points in 20 at final evaluation.

The presence in class is mandatory according to the regulation in force in FPCEUP.

Calculation formula of final grade

The final classification is obtained with the final written work, which represents 100% of the classification.

Examinations or Special Assignments

Not applicable.

Internship work/project

Not applicable.

Special assessment (TE, DA, ...)

Not applicable.

Classification improvement

The improvement of classification is done according to the regulation in force in FPCEUP.

Observations

The discipline uses Moodle platform.

This master is teach with the collaboration of ESTSP-IPP; some of the bibliography can be found at this school.
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