Acceptance of Information and Communication Technology and Its Related Factors among Older Adults: A Cross-Sectional Study in Iran

Rezaeipandari, Hassan; Dehghanbanadaki, Elahe; Madadizadeh, Farzan

doi:10.18502/ehj.v9i2.14423

Volume 9, Issue 2 (December 2023) Elderly Health Journal 2023, 9(2): 64-72 | Back to browse issues page

‎ 10.18502/ehj.v9i2.14423

Mendeley

Zotero

RefWorks

Rezaeipandari H, Dehghanbanadaki E, Madadizadeh F. Acceptance of Information and Communication Technology and Its Related Factors among Older Adults: A Cross-Sectional Study in Iran. Elderly Health Journal 2023; 9 (2) :64-72
URL: http://ehj.ssu.ac.ir/article-1-305-en.html

Acceptance of Information and Communication Technology and Its Related Factors among Older Adults: A Cross-Sectional Study in Iran

Hassan Rezaeipandari

, Elahe Dehghanbanadaki ^*

, Farzan Madadizadeh

Department of Aging and Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , ehadehghan47@gmail.com

Abstract: (1934 Views)

Introduction: Given the increasing elderly population and the decreasing role of families in elderly care, the use of up-to-date technologies by older adults will become increasingly important in helping them live healthier and better lives. This study aimed to determine the acceptance of information and communication technology (ICT) by older adults and related factors in Yazd city, Iran.
Methods: This cross-sectional study was conducted in 2022 with the participation of 360 older adults aged over 60 years from comprehensive health care centers in Yazd city, Iran. Participants were selected using a multi-stage random sampling method. Data were collected using a demographic information questionnaire and an Information and Communication Technology Acceptance Questionnaire completed by interview. Data were analyzed using descriptive indices, independent two-sample t-tests, one-way analysis of variance, and regression by SPSS.
Results: The ICT acceptance rate among older adults was 22.5%. The highest mean score was related to the dimension of perceived usefulness (15.37). The most significant barriers to ICT acceptance were lack of interest (48.6%), lack of sufficient skills (46.4%), and lack of perceived need (45.3%). The regression results showed that age, level of education, smartphone use, and time spent on technology tools were predictors of ICT acceptance by older adults, accounting for 82% of the variance in ICT acceptance.
Conclusion: Given the low level of technology acceptance among older adults in Yazd city and the need to learn and use ICT to meet their individual, social, health, and medical needs, as well as to live a more independent life and save time and costs, providing older adults with the opportunity to become familiar with technology is essential.

Corresponding Author: Elahe Dehghanbanadaki
View Orcid in Profile
You can search for this author in PubMed Google Scholar Profile

Keywords: Information and Communication Technology, Older Adults, Acceptance of Technology, ICT, Technology Tools

Full-Text [PDF 772 kb] (223 Downloads) | | Full-Text (HTML) (276 Views)

Type of Study: Research | Subject: Special
Received: 2023/12/5 | Accepted: 2023/12/9 | Published: 2023/12/14

References

1. Ha J, Park HK. Factors affecting the acceptability of technology in health care among older Korean adults with multiple chronic conditions: a cross-sectional study adopting the senior technology acceptance model. Clinical Interventions in Aging. 2020; 15: 1873-81.

2. Basakha M, Mohaqeqi Kamal SH, Pashazadeh H. Acceptance of information and communication technology by the elderly people living in Tehran. Iranian Journal of Ageing. 2019; 13(5): 550-63. [Persian]

3. Dara-Abrams B. Toward a model for collaborative gerontechnology: connecting elders and their caregivers. Proceedings of Sixth International Conference on Creating, Connecting and Collaborating through Computing. IEEE; 2008. p. 109-14.

4. White H, McConnell E, Clipp E, Bynum L, Teague C, Navas L, et al. Surfing the net in later life: A review of the literature and pilot study of computer use and quality of life. Journal of Applied Gerontology. 1999; 18(3): 358-78.

5. Halmdienst N, Radhuber M, Winter-Ebmer R. Attitudes of elderly Austrians towards new technologies: communication and entertainment versus health and support use. European Journal of Ageing. 2019; 16: 513-23.

6. Roberts E, Beel D, Philip L, Townsend L. Rural resilience in a digital society: Editorial. Journal of Rural Studies. 2017; 54: 1-5.

7. Statistical Center of Iran. Iran statistical yearbook. 2015. [Persian]

8. Riahi F, Izadi-mazidi M, Khajedin N, Norouzi S. Does education of geriatric medicine effect on the medical students’ attitude toward elderlies and their care?. Iranian Journal of Medical Education 2014; 14(7): 651-2. [Persian]

9. Rogers WA, Fisk AD. Toward a psychological science of advanced technology design for older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2010; 65(6): 645-53.

10. Fischer SH, David D, Crotty BH, Dierks M, Safran C. Acceptance and use of health information technology by community-dwelling elders. International Journal of Medical Informatics. 2014; 83(9): 624-35.

11. Vassli LT, Farshchian BA. Acceptance of health-related ICT among elderly people living in the community: A systematic review of qualitative evidence. International Journal of Human–Computer Interaction. 2018; 34(2): 99-116.

12. Finkelstein J, Knight A, Marinopoulos S, Gibbons MC, Berger Z, Aboumatar H, et al. Enabling patient-centered care through health information technology. Evidence Report/Technology Assessment. 2012; (206): 1-1531.

13. Rios GR. eHealth literacy and older adults: a review of literature. Topics in Geriatric Rehabilitation. 2013; 29(2): 116-25.

14. Hargittai E. Second-level digital divide: Mapping differences in people's online skills. arXiv preprint cs/0109068. 2001.

15. Czaja SJ, Charness N, Fisk AD, Hertzog C, Nair SN, Rogers WA, et al. Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and Aging. 2006; 21(2): 333-52.

16. Shadadeh F, Samadbeik M, Amiri F, HajiPourtalebi A. The digital gap in patients' use of health information technology and effective factors and strategies; a systematic review. Health Research Journal. 2019; 4(3): 181-8.

17. Mitzner TL, Boron JB, Fausset CB, Adams AE, Charness N, Czaja SJ, et al. Older adults talk technology: technology usage and attitudes. Computers in Human Behavior. 2010; 26(6): 1710-21.

18. Ajami S, Heydarinia Z. The use of mobile-health technology for monitoring the health of the elderly. Health Information Management. 2015; 12(4): 391-2. [Persian]

19. Chipps J, Jarvis MA. Technology-assisted communication in older persons in a residential care facility in South Africa. Information Development. 2016; 33(4): 393-405.

20. Damayanti NR, Ali NM, Surin ESM. Technology acceptance among older adults with mild cognitive impairment. Journal of Physics: Conference Series. 2019; 1339: 1-8.

21. Ginsburg OM, Chowdhury M, Wu W, Chowdhury MTI, Pal BC, Hasan R, et al. An mHealth model to increase clinic attendance for breast symptoms in rural Bangladesh: can bridging the digital divide help close the cancer divide?. The Oncologist. 2014; 19(2): 177-85.

22. Neves BB, Amaro F. Too old for technology? How the elderly of Lisbon use and perceive ICT. The Journal of Community Informatics. 2012; 8(1): 1-12.

23. Wildenbos GA, Peute L, Jaspers M. Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US). International Journal of Medical Informatics. 2018; 114: 66-75.

24. Rikard R, Berkowsky RW, Cotten SR. Discontinued information and communication technology usage among older adults in continuing care retirement communities in the United States. Gerontology. 2018; 64(2): 188-200.

25. Safdari R, Shams Abadi AR, Pahlevany Nejad S. Improve health of the elderly people with M-health and technology. Iranian Journal of Ageing. 2018; 13(3): 288-99. [Persian]

26. Selwyn N, Gorard S, Furlong J, Madden L. Older adults' use of information and communications technology in everyday life. Ageing and Society. 2003; 23(5): 561-82.

27. Pan S, Jordan-Marsh M. Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior. 2010; 26(5): 1111-9.

28. Habibollahpour M, Motalebi SA, Mahdikhani Z, Mohammadi F. Role of socio-demographic factors in predicting the use of communication technologies by older people in Iran. Journal of Inflammatory Diseases. 2021; 24(6): 498-509. [Persian]

29. Chen K, Chan AHS. Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM). Ergonomics. 2014; 57(5): 635-52.

30. Chen K, Chan AH. A review of technology acceptance by older adults. Gerontechnology. 2011; 10(1): 1-12.

31. Kim YS, Merriam SB. Situated learning and identity development in a Korean older adults’ computer classroom. Adult Education Quarterly. 2010; 60(5): 438-55.

32. Walker BA, Azzarito N, Brown K, Burchfield D, Eberly K, Meert N, et al. Exploring the fit between older adults and smartphone use to inform design and practical application. Gerontechnology. 2018;17:83s.

33. Chen K, Chan AH, Chan SC. Gerontechnology acceptance by older Hong Kong people. Proceedings of the 29th International Symposium of Automation and Robotics in Construction, ISARC 2012; 2012 June 26-29; Netherlands, Eindhoven. 2012.

34. Jarvis MA, Sartorius B, Chipps J. Technology acceptance of older persons living in residential care. Information Development. 2020; 36(3): 339-53.

35. Liu CJ, Yang SC. Using the technology acceptance model to examine seniors’ attitudes toward Facebook. International Journal of Educational and Pedagogical Sciences. 2014; 8(6): 1012-7.

36. Bouma H, Fozard JL, Bouwhuis DG, Taipale V. Gerontechnology in perspective. Gerontechnology. 2007; 6(4): 190-216.

37. Ma Q, Chan AH, Chen K. Personal and other factors affecting acceptance of smartphone technology by older Chinese adults. Applied Ergonomics. 2016; 54: 62-71.

38. Dogruel L, Joeckel S, Bowman ND. The use and acceptance of new media entertainment technology by elderly users: Development of an expanded technology acceptance model. Behaviour and Information Technology. 2015; 34(11): 1052-63.

39. Nayak LU, Priest L, White AP. An application of the technology acceptance model to the level of Internet usage by older adults. Universal Access in the Information Society. 2010; 9(4): 367-74.

40. O’Brien MA, Olson KE, Charness N, Czaja SJ, Fisk AD, Rogers WA, et al. Understanding technology usage in older adults. Proceedings of the 6th International Society for Gerontechnology. Pisa, Italy; 2008.