The Arabic psychosocial impact of assistive devices scale: Development, translation, and evaluation

References

• Alaa, A. M., & Al Sawi, I. (2023). The analysis and quality assessment of translation strategies in subtitling culturally specific references: Feathers. Heliyon, 9(8), e19095. https://doi.org/10.1016/j.heliyon.2023.e19095
   PubMed Web of Science ®Google Scholar
• Avilés, M. B., Serra, M., Gómez, P., Roig, R., Roig, F., Pozo, P., Al-Ali, K., Khadri, S., Quettina, Y., & Nasrallah, C. (2019). The impact of the international convention on the rights of persons with disabilities on the internal legislation of Qatar. In Qatar Foundation Annual Research Conference Proceedings 2016, HBKU Press. https://doi.org/10.5339/qfarc.2016.sshaop1104
   Google Scholar
• Bakhsh, H., Franchignoni, F., Ferriero, G., Giordano, A., & Demers, L. (2014). Translation into Arabic of the Quebec user evaluation of satisfaction with assistive technology 2.0 and validation in orthosis users. International Journal of Rehabilitation Research, 37(4), 361–367. https://doi.org/10.1097/mrr.0000000000000086
   PubMed Web of Science ®Google Scholar
• Borg, J., Larsson, S., & Östergren, P.-O. (2011). The right to assistive technology: For whom, for what, and by whom? Disability & Society, 26(2), 151–167. https://doi.org/10.1080/09687599.2011.543862
   Web of Science ®Google Scholar
• Borgnis, F., Desideri, L., Converti, R. M., & Salatino, C. (2023). Available assistive technology outcome measures: Systematic review. JMIR Rehabilitation and Assistive Technologies, 10(1), e51124. https://doi.org/10.2196/51124
   PubMedGoogle Scholar
• Boyle, B., & Zahid, A. (2013, April). Measuring the impact of assistive technology for Arabic speakers. Fourth National Symposium on Informatics – Technologies for Special Needs, Riyadh, RSA.
   Google Scholar
• Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185. https://doi.org/10.1177/135910457000100301
   Web of Science ®Google Scholar
• Chae, S.-Y., & Jo, S.-J. (2014). Development and validation of Korean version of psychosocial impact of assistive devices scale. Assistive Technology, 26(1), 45–50. https://doi.org/10.1080/10400435.2013.796502
   PubMed Web of Science ®Google Scholar
• Day, H., & Campbell, K. A. (2003). Is telephone assessment a valid tool in rehabilitation research and practice? Disability and Rehabilitation, 25(19), 1126–1131. https://doi.org/10.1080/0963828031000152057
   PubMed Web of Science ®Google Scholar
• Day, H., & Jutai, J. (1996). Measuring the psychosocial impact of assistive devices: The PIADS*. Canadian Journal of Rehabilitation, 9(2), 159–168. https://enablemob.wustl.edu/OT572D-01/RequiredArticles/PIADS%20article.pdf
   Google Scholar
• Day, H., Jutai, J., & Campbell, K. A. (2002). Development of a scale to measure the psychosocial impact of assistive devices: Lessons learned and the road ahead. Disability and Rehabilitation, 24(1–3), 31–37. https://doi.org/10.1080/09638280110066343
   PubMed Web of Science ®Google Scholar
• Day, H., Jutai, J., Woolrich, W., & Strong, G. (2001). The stability of impact of assistive devices. Disability and Rehabilitation, 23(9), 400–404. https://doi.org/10.1080/09638280010008906
   PubMed Web of Science ®Google Scholar
• Demers, L., Monette, M., Descent, M., Jutai, J., & Wolfson, C. (2002). The psychosocial impact of assistive devices scale (PIADS): Translation and preliminary psychometric evaluation of a Canadian French version. Quality of Life Research, 11(6), 583–592. https://doi.org/10.1023/A:1016397412708
   PubMed Web of Science ®Google Scholar
• DeRosier, R., & Farber, R. S. (2005). Speech recognition software as an assistive device: A pilot study of user satisfaction and psychosocial impact. Work: A Journal of Prevention, Assessment, and Rehabilitation, 25(2), 125–134.
   Google Scholar
• Devitt, R., Chau, B., & Jutai, J. W. (2004). The effect of wheelchair use on the quality of life of persons with multiple Sclerosis. Occupational Therapy in Health Care, 17(3–4), 63–79. https://doi.org/10.1080/J003v17n03_05
   PubMedGoogle Scholar
• Díez, E., Jiménez-Arberas, E., & Pousada, T. (2021). Psychometric properties of the Spanish version of psychosocial impact of assistive devices scale in a large sample of people with neuromuscular, neurological, or hearing disabilities. Frontiers in Psychology, 12, 12. https://doi.org/10.3389/fpsyg.2021.659562
   Web of Science ®Google Scholar
• Draffan, E. A., & Banes, D. (2022). Open licensed AAC in a collaborative ecosystem ( 13341 LNCS). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-031-08648-9_56
   Google Scholar
• Drennan, G., Levett, A., & Swartz, L. (1991). Hidden dimensions of power and resistance in the translation process: A South African study. Culture, Medicine, and Psychiatry, 15(3), 361–381. https://doi.org/10.1007/BF00046543
   PubMed Web of Science ®Google Scholar
• Edyburn, D. L., & Smith, R. O. (2004). Creating an assistive technology outcomes measurement system: Validating the components. Assistive Technology Outcomes and Benefits, 1(1), 8–15.
   Google Scholar
• Farghal, M., & Shunnaq, A. T. (1999). Translation with reference to English and Arabic: A practical guide. Dar Al-Hilal for Translation.
   Google Scholar
• Federici, S., & Scherer, M. J. (Eds.). (2017). Assistive technology assessment handbook. (2nd ed.). CRC Press. https://doi.org/10.1201/9781351228411
   Google Scholar
• Fuhrer, M. J., Jutai, J. W., Scherer, M. J., & DeRuyter, F. (2003). A framework for the conceptual modelling of assistive technology device outcomes. Disability and Rehabilitation, 25(22), 1243–1251. https://doi.org/10.1080/09638280310001596207
   PubMed Web of Science ®Google Scholar
• García, T. P., González, B. G., Rivero, L. N., Loureiro, J. P., Villoria, E. D., & Sierra, A. P. (2015). Exploring the psychosocial impact of wheelchair and contextual factors on quality of life of people with neuromuscular disorders. Assistive Technology, 27(4), 246–256. https://doi.org/10.1080/10400435.2015.1045996
   PubMed Web of Science ®Google Scholar
• Grigore, G., & Bițună, G. (2015). Arabic varieties: Far and wide. In G. Grigore & G. Bițună (Eds.), Proceedings of the 11th international conference of AIDA: Bucharest 2015 (p. 588). International Arabic Dialectology Association.
   Google Scholar
• Guillemin, F., Bombardier, C., & Beaton, D. (1993). Cross-cultural adaptation of health-related quality of life measures: Literature review and proposed guidelines. Journal of Clinical Epidemiology, 46(12), 1417–1432. https://doi.org/10.1016/0895-4356(93)90142-N
   PubMed Web of Science ®Google Scholar
• Harada, N., Fong, S., Heiney, C., Yentes, J. M., Perell-Gerson, K. L., & Fang, M. A. (2014). Evaluation of two cane instruments in older adults with knee osteoarthritis. Journal of Rehabilitation Research and Development, 51(2), 275–283. https://doi.org/10.1682/JRRD.2013.06.0140
   PubMed Web of Science ®Google Scholar
• Hersh, M. A. (2010). The design and evaluation of assistive technology products and devices part 1: Assistive product selection focusing on the person, milieu and product. In J. H. Stone & M. Blouin (Eds.), International Encyclopaedia of Rehabilitation. http://cirrie.buffalo.edu/encyclopedia/en/article/309/2008a
   Google Scholar
• Hsieh, Y.-J., & Lenker, J. A. (2002). The psychosocial impact of assistive devices scale (PIADS): Translation and psychometric evaluation of a Chinese (Taiwanese) version. Disability and Rehabilitation Assistive Technology, 1(1–2), 49–57. https://doi.org/10.1080/09638280500167217
   Google Scholar
• Huber, J. G., Jutai, J. W., Strong, J. G., & Plotkin, A. D. (2008). The psychosocial impact of closed-circuit televisions on persons with age-related macular degeneration. Journal of Visual Impairment & Blindness, 102(11), 690–701. https://doi.org/10.1177/0145482X0810201104
   Google Scholar
• Inoue, T., Kamimura, T., Sasaki, K., Mori, K., Sakai, N., Fujita, Y., Nihei, M., & Tsukada, A. (2011). Standardization of J-PIADS (psychosocial impact of assistive devices scale). Assistive Technology Research Series, 28. https://doi.org/10.3233/978-1-60750-758-1-49
   Google Scholar
• Jiménez Arberas, E., Ordoñez Fernández, F. F., & Rodríguez Menéndez, S. (2021). Psychosocial impact of mobility assistive technology on people with neurological conditions. Disability and Rehabilitation: Assistive Technology, 16(5), 465–471. https://doi.org/10.1080/17483107.2019.1648571
   PubMed Web of Science ®Google Scholar
• Jutai, J. W., Fuhrer, M. J., Demers, L., Scherer, M. J., & DeRuyter, F. (2005). Toward a taxonomy of assistive technology device outcomes. American Journal of Physical Medicine & Rehabilitation / Association of Academic Physiatrists, 84(4), 294–302. https://doi.org/10.1097/01.PHM.0000157313.88732.DC
   PubMed Web of Science ®Google Scholar
• Kalfoss, M. (2016). Use of instruments to measure quality of life among healthy and ill adults in community settings. British Journal of Community Nursing, 21(5), 232–239. https://doi.org/10.12968/bjcn.2016.21.5.232
   PubMedGoogle Scholar
• Khalaila, R. (2013). Translation of questionnaires into Arabic in cross-cultural research: Techniques and equivalence issues. Journal of Transcultural Nursing, 24(4), 363–370. https://doi.org/10.1177/1043659613493440
   PubMed Web of Science ®Google Scholar
• Kinney, A., Goodwin, D. M., & Gitlow, L. (2016). Measuring assistive technology outcomes: A user centered approach. Assistive Technology Outcomes and Benefits, 10(1), 95–110.
   Google Scholar
• Lee, W. L., Chinna, K., Lim Abdullah, K., & Zainal Abidin, I. (2019). The forward-backward and dual-panel translation methods are comparable in producing semantic equivalent versions of a heart quality of life questionnaire. International Journal of Nursing Practice, 25(1). https://doi.org/10.1111/ijn.12715
   Web of Science ®Google Scholar
• Lewis, M. P. (2009). Ethnologue: Languages of the world. SIL International.
   Google Scholar
• Long, A., Southall, K., Fowler, S., Cotterill, N., Van Den Heuvel, E., Jutai, J. W., & Encarnação, P. (2014). Towards the development of the psychosocial impact of assistive devices scale for continence (C-PIADS). Technology and Disability, 26(2–3), 153–160. https://doi.org/10.3233/TAD-140413
   Google Scholar
• Mohammad, H. M. (2018). The nature of ambiguity across languages. International Journal for Innovation Education and Research, 6(12), 149–157. https://doi.org/10.31686/ijier.vol6.iss12.1259
   Google Scholar
• Nordströ, B., Nyberg, L., Ekenberg, L., & Näslund, A. (2014). The psychosocial impact on standing devices. Disability and Rehabilitation Assistive Technology, 9(4), 299–306. https://doi.org/10.3109/17483107.2013.807443
   PubMedGoogle Scholar
• Orellano, E. M., & Jutai, J. W. (2013). Cross-cultural adaptation of the psychosocial impact of assistive device scale (PIADS) for Puerto Rican assistive technology users. Assistive Technology, 25(4), 194–203. https://doi.org/10.1080/10400435.2012.761292
   PubMed Web of Science ®Google Scholar
• Paap, M. C. S., Böhnke, J. R., Schwartz, C. E., & Oort, F. J. (2018). Introduction to special section: Test construction. Quality of Life Research, 27, 1671–1672. https://doi.org/10.1007/s11136-018-1886-4
   Google Scholar
• Parette, P., & Dikter, D. (2007). Outcomes and benefit - challenges in the assistive technology field. Assistive Technology Outcomes and Benefits, 1(1), 6–8.
   Google Scholar
• Pousada, T., Garabal-Barbeira, J., Martínez, C., Groba, B., Nieto-Riveiro, L., & Pereira, J. (2021). How loan bank of assistive technology impacts on life of persons with amyotrophic lateral sclerosis and neuromuscular diseases: A collaborative initiative. International Journal of Environmental Research and Public Health, 18(2), 763. https://doi.org/10.3390/ijerph18020763
   PubMed Web of Science ®Google Scholar
• Raphael, D., Brown, I., Renwick, R., & Rootman, I. (1996). Assessing the quality of life of persons with developmental disabilities: Description of a new model, measuring instruments, and initial findings. International Journal of Disability, Development & Education, 43(1), 25–42. https://doi.org/10.1080/0156655960430103
   Google Scholar
• Ryan, S. E., Campbell, K. A., & Rigby, P. J. (2007). Reliability of the family impact of assistive technology scale for families of young children with cerebral palsy. Archives of Physical Medicine and Rehabilitation, 88(11), 1436–1440. https://doi.org/10.1016/j.apmr.2007.06.777
   PubMed Web of Science ®Google Scholar
• Ryan, S. E., Sophianopoulos, M.-B., Jutai, J., & Gupta, M. (2017). Measurement of assistive technology outcomes associated with computer-based writing interventions for children and youth with disabilities. Technologies, 5(2), 19. https://doi.org/10.3390/TECHNOLOGIES5020019
   Google Scholar
• Saladin, S. P., & Hansmann, S. E. (2008). Psychosocial variables related to the adoption of video relay services among deaf or hard-of-hearing employees at the Texas School for the deaf. Assistive Technology, 20(1), 36–47. https://doi.org/10.1080/10400435.2008.10131930
   PubMed Web of Science ®Google Scholar
• Scherer, M. J. (1996). Outcomes of assistive technology use on quality of life. Disability and Rehabilitation, 18(9), 439–448. https://doi.org/10.3109/09638289609165907
   PubMed Web of Science ®Google Scholar
• Smith, R. O. (1996). Measuring the outcomes of assistive technology: Challenge and innovation. Assistive Technology, 8(2), 71–81. https://doi.org/10.1080/10400435.1996.10132277
   PubMedGoogle Scholar
• Smith, E. M., Huff, S., Wescott, H., Daniel, R., Ebuenyi, I. D., O’Donnell, J., Maalim, M., Zhang, W., Khasnabis, C., & MacLachlan, M. (2022). Assistive technologies are central to the realization of the convention on the rights of persons with disabilities. Disability and Rehabilitation Assistive Technology, 19(2), 486–491. https://doi.org/10.1080/17483107.2022.2099987
   PubMed Web of Science ®Google Scholar
• Smith, R. O., Scherer, M. J., Cooper, R., Bell, D., Hobbs, D. A., Pettersson, C., Seymour, N., Borg, J., Johnson, M. J., Lane, J. P., Sujatha, S., Rao, P. V. M., Obiedat, Q. M., MacLachlan, M., & Bauer, S. (2018). Assistive technology products: A position paper from the first global research, innovation, and education on assistive technology (GREAT) summit. Disability and Rehabilitation Assistive Technology, 13(5), 473–485. https://doi.org/10.1080/17483107.2018.1473895
   PubMed Web of Science ®Google Scholar
• Sperber, A. D. (2004). Translation and validation of study instruments for cross-cultural research. Adenocarcin Barrett’s Epithelium Gastroenterol, 126(1), S124–S128. https://doi.org/10.1053/j.gastro.2003.10.016
   PubMed Web of Science ®Google Scholar
• Strong, G., Jutai, J. W., Bevers, P., Hartley, M., & Plotkin, A. (2003). The psychosocial impact of closed-circuit television low vision aids. Visual Impairment Research, 5(3), 583–592. https://doi.org/10.1080/1388235039048694
   Google Scholar
• Taherdoost, H., & Group, H. (2017). Validity and reliability of the research instrument; how to test the validation of a questionnaire or survey in research. International Journal of Sport, Exercise & Training Sciences. https://doi.org/10.2139/ssrn.3205040
   Google Scholar
• Tofani, M., Candeloro, C., Sabbadini, M., Lucibello, L., Figura, M., Fabbrini, G., Galeoto, G., & Castelli, E. (2020). The psychosocial impact of assistive device scale: Italian validation in a cohort of nonambulant people with neuromotor disorders. Assistive Technology, 32(1), 54–59. https://doi.org/10.1080/10400435.2018.1469553
   PubMed Web of Science ®Google Scholar
• Tsang, S., Royse, C. F., & Terkawi, A. S. (2017). Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi Journal of Anaesthesia, 11(5), 80. https://doi.org/10.4103/sja.SJA_203_17
   PubMed Web of Science ®Google Scholar
• Versteegh, K. (1997). The Arabic language. Language, 75. https://doi.org/10.2307/417554
   Google Scholar
• Wiklund Axelsson, S., Nyberg, L., Näslund, A., & Melander Wikman, A. (2013). The anticipated positive psychosocial impact of present web-based E-Health services and future mobile health applications: An investigation among older swedes, the anticipated positive psychosocial impact of present web-based E-Health services and future. International Journal of Telemedicine and Applications, 2013, e509198. https://doi.org/10.1155/2013/509198
   PubMedGoogle Scholar
• Zahid, A., & Boyle, B. (2013). Using impact measurement to establish confidence in emergent assistive technology services - First phase translation of the PIADS outcome measurement tool for implementation in an Arabic context. Assistive Technology Research Series, 33, 1071–1077. https://doi.org/10.3233/978-1-61499-304-9-1071
   Google Scholar