How is the Elderly’s Capability to Use Smartphones in Banda Aceh
DOI:
https://doi.org/10.3889/oamjms.2022.9084Keywords:
Technology, Mobile device, Elderly, Geriatric, Activity daily livingAbstract
BACKGROUND: Smartphone is one form of technology that is increasing that provides many benefits for the elderly such as the many applications adapted to improve the quality of life of the elderly; one of them is the existence of health applications.
AIM: The purpose of this study was to determine how the ability to use smartphones in the elderly in Banda Aceh, which includes the ability to use the basics of the software, communication, data and file storage, internet, calendar, entertainment, privacy, and security, and software troubleshooting and management.
MATERIALS AND METHODS: This study used a descriptive exploratory with a cross-sectional study design. The sampling technique is non-probability sampling using the snowball sampling method with as many as 400 older people. The research data were analyzed using descriptive statistics, namely, the distribution of frequencies and percentages.
RESULTS: The results of the research in the capable component contained the primary use of mobile devices (99.5%), entertainment (95.3%), and the internet (86.3%). While the part that respondent is less capable, there are privacy and security (94.5%), data and file storage (81.7%), communication (79.5%), calendar (59.7%), as well as troubleshooting and device management soft (50.5%).
CONCLUSION: From the study finding, it is expected that nursing services can improve the ability of the elderly in fulfilling the IADL. One of them is utilizing existing smartphone applications and providing nursing interventions for the elderly using smartphones.Downloads
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Suwarno IS, Eng M, Proboyekti U, Kom S, Oetomo BS. Information Technology Innovation for the Advancement of the Nation. Yogyakarta: Penerbit Andi; 2016. p. 148. Available from: https://www.books.google.com/books?hl=en&lr=&id=DSs3DgAAQBAJ&oi=fnd&pg=PA1&dq=pengaruh+inovasi+digital+dan+teknologi+dibidang+operasional+jasa&ots=q7NN2yCh_h&sig=u0tZEMaRmBBI7Zbh-cuZYEfwwQo [Last accessed on 2022 Jan 07].
Smeltzer SC, Suddarth DS, Bare BG, Brunner LS, Smeltzer SC. Brunner and Suddarth’s Textbook of Medical-surgical Nursing: Units 8-16. United States: Lippincott Williams & Wilkins; 2000.
Ouchi K, Doi M. Smartphone-based monitoring system for activities of daily living for elderly people and their relatives etc. In: Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication. New York, USA: ACM; 2013. p. 103-6. Available from: https://www.dl.acm.org/doi/10.1145/2494091.2494120 https://doi.org/10.1145/2494091.2494120 [Last accessed on 2021 Dec 15]. DOI: https://doi.org/10.1145/2494091.2494120
Gordon NP, Hornbrook MC. Older adults’ readiness to engage with eHealth patient education and self-care resources: A crosssectional survey. BMC Health Serv Res. 2018;18(1):220. https://doi.org/10.1186/s12913-018-2986-0 PMid:29587721 DOI: https://doi.org/10.1186/s12913-018-2986-0
Ding E, Liu D, Soni A, Adaramola O, Han D, Bashar SK, et al. Impressions of older patients with cardiovascular diseases to smart devices for heart rhythm monitoring. In: 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies. United States: IEEE; 2017. p. 270-1. Available from: http://www.ieeexplore.ieee.org/document/8010652 https://doi.org/10.1109/chase.2017.97 [Last accessed on 2021 Dec 15]. DOI: https://doi.org/10.1109/CHASE.2017.97
Kementerian Kominfo. The 2017 ICT Use Survey and its Implications for the Socio-Cultural Aspects of Society. Pusat Penelitian dan Pengembangan Aplikasi Informatika dan Informasi dan Komunikasi Publik. Jakarta, Indonesia: Kominfo RI; 2017. https://doi.org/10.31504/komunika.v5i2.842 DOI: https://doi.org/10.31504/komunika.v5i2.842
United Nations. World Population Ageing 2019. Highlights, World Population Ageing 2019. 2019. p. 64. Available from: http://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2017_Report.pdf https://doi.org/10.18356/9df3caed-en DOI: https://doi.org/10.18356/9df3caed-en
Kementerian Kesehatan Republik Indonesia. Indonesia Health Profile Information Data 2018. Vol. 53. Indonesia: Pusdatin, Kementerian Kesehatan Republik Indonesia; 2019. Available from: https://www.pusdatin.kemkes.go.id/resources/download/pusdatin/profil-kesehatan-indonesia/PROFIL_KESEHATAN_2018_1.pdf https://doi.org/10.21109/kesmas.v9i3.568 [Last accessed on 2021 Dec 10].
Dinkes Kota Banda Aceh. Banda Aceh City Health Profile 2019. Banda Aceh; 2020. Available from: https://www.dinkes.bandaacehkota.go.id/profil-kesehatan-kota-banda-aceh-tahun-2019 https://doi.org/10.22373/jp.v2i2.5888 [Last accessed on 2021 Dec 10]. DOI: https://doi.org/10.22373/jp.v2i2.5888
Arab F, Malik Y, Abdulrazak B. Evaluation of PhonAge: An Adapted Smartphone Interface for Elderly People; 2013. p. 547-54. Available from: http://www.link.springer.com/10.1007/978-3-642-40498-6_44 https://doi.org/10.1007/978-3-642-40498-6_44 [Last accessed on 2021 Dec 10]. DOI: https://doi.org/10.1007/978-3-642-40498-6_44
Hope A, Schwaba T, Piper AM. Understanding digital and material social communications for older adults. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, USA: ACM; 2014. p. 3903-12. Available from: https://www.dl.acm.org/doi/10.1145/2556288.2557133 https://doi.org/10.1145/2556288.2557133 [Last accessed on 2021 Dec 15]. DOI: https://doi.org/10.1145/2556288.2557133
AIPJII. Indonesia Internet user Behavior and Penetration Infographic 2017; 2017. Available from: https://www.apjii.or.id/downfile/file/survei2017-id.pdf [Last accessed on 2021 Dec 10].
Setyawan FE. Introduction to Research Methodology: (Practical Statistics). Madhya Pradesh: Zifatama Jawara; 2017.
Roque NA, Boot WR. A new tool for assessing mobile device proficiency in older adults: The mobile device proficiency questionnaire. J Appl Gerontol. 2018;37(2):131-56. https://doi.org/10.1177/0733464816642582 PMid:27255686 DOI: https://doi.org/10.1177/0733464816642582
Notoatmodjo S. Health Research Methodology. Jakarta: Rineka Cipta; 2018.
Nuanmeesri S. Mobile Application Development of Managing Elderly Household Accounts Using Speech Recognition; 2020. Available from: https://www.learntechlib.org/p/217839 https://doi.org/10.3991/ijim.v14i02.11651 [Last accessed on 2021 Dec 15]. DOI: https://doi.org/10.3991/ijim.v14i02.11651
Omotayo FO. Adoption and use of Smartphones by the Elderly in Nigeria. In: EETH-18,TACEBS-18,UPATE-18,LLSSI-18,GEBDS-18 June 25-26, 2018 London, UK:. Higher Education And Innovation Group; 2018. Available from: http://www.heaig.org/images/proceedings_pdf/H0618412.pdf https://doi.org/10.17758/heaig4.h0618412 [Last accessed on 2021 Dec 15].
Sakdulyatham R, Preeyanont S, Lipikorn R, Watakakosol R. Smartphone usage capabilities among younger and elderly users. Pertanika J Soc Sci Hum. 2018;26(1):181-98.
Kim J, Lee HY, Christensen MC, Merighi JR. Technology access and use, and their associations with social engagement among older adults: Do women and men differ? J Gerontol Ser B Psychol Sci Soc Sci. 2016;72(5):gbw123. https://doi.org/10.1093/geronb/gbw123 PMid:28073816 DOI: https://doi.org/10.1093/geronb/gbw123
Piper AM, Garcia RC, Brewer RN. Understanding the challenges and opportunities of smart mobile devices among the oldest old. Int J Mob Hum Comput Interact. 2016;8(2):83-98. https://doi.org/10.4018/ijmhci.2016040105 DOI: https://doi.org/10.4018/IJMHCI.2016040105
Stockwell S, Stubbs B, Jackson SE, Fisher A, Yang L, Smith L. Internet use, social isolation and loneliness in older adults. Ageing Soc. 2021;41(12):2723-46. https://doi.org/10.1017/s0144686x20000550 DOI: https://doi.org/10.1017/S0144686X20000550
Kim MJ, Kim WG, Kim JM, Kim C. Does knowledge matter to seniors’ usage of mobile devices? Focusing on motivation and attachment. Int J Contemp Hosp Manag. 2016;28(8):1702-27. https://doi.org/10.1108/ijchm-01-2015-0031 DOI: https://doi.org/10.1108/IJCHM-01-2015-0031
Lee N, Seaborn K, Hiyama A, Inami M, Hirose M. Evaluating a Smartphone-based Social Participation App for the Elderly; 2018. p. 505-17. Available from: http://www.link.springer.com/10.1007/978-3-319-92034-4_38 https://doi.org/10.1007/978-3-319-92034-4_38 [Last accessed on 2021 Dec 15]. DOI: https://doi.org/10.1007/978-3-319-92034-4_38
Petrovčič A, Šetinc M, Burnik T, Dolničar V. A comparison of the usability of a standard and an age-friendly smartphone launcher: Experimental evidence from usability testing with older adults. Int J Rehabil Res. 2018;41(4):337-42. https://doi.org/10.1097/mrr.0000000000000307 PMid:30085996 DOI: https://doi.org/10.1097/MRR.0000000000000307
El Haj M, Gallouj K, Antoine P. Google calendar enhances prospective memory in Alzheimer’s disease: A case report. J Alzheimers Dis. 2017;57(1):285-91. https://doi.org/10.3233/jad-161283 PMid:28222535 DOI: https://doi.org/10.3233/JAD-161283
Voit A, Weber D, Stowell E, Henze N. Caloo: An ambient pervasive smart calendar to support aging in place. In: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. New York, USA: ACM; 2017. p. 25-30. Available from: https://www.dl.acm.org/doi/10.1145/3152832.3152847 https://doi.org/10.1145/3152832.3152847 [Last accessed on 2021 Jan 15]. DOI: https://doi.org/10.1145/3152832.3152847
Stelling-Konczak A, van Wee GP, Commandeur JJ, Hagenzieker M. Mobile phone conversations, listening to music and quiet (electric) cars: Are traffic sounds important for safe cycling? Accid Anal Prev. 2017;106:10-22. https://doi.org/10.1016/j.aap.2017.05.014 PMid:28550750 DOI: https://doi.org/10.1016/j.aap.2017.05.014
Ray H, Wolf F, Kuber R, Aviv AJ. Why older adults (Don’t) use password managers. In: Proceedings of the 30th USENIX Security Symposium. Washington, DC: The George Washington University; 2020. p. 73-90. Available from: https://www.usenix.org/system/files/sec21-ray.pdf [Last accessed on 2021 Jan 15].
Tao J, Shuijing H. The elderly and the big data how older adults deal with digital privacy. In: 2016 International Conference on Intelligent Transportation, Big Data and Smart City. United States: IEEE; 2016. p. 285-8. Available from: http://www.ieeexplore.ieee.org/document/8047159 https://doi.org/10.1109/icitbs.2016.35 DOI: https://doi.org/10.1109/ICITBS.2016.35
Khawaji MA. Overcoming Challenges in Smart Phone Use among Older Adults in Saudi Arabia. Iowa: The University of Iowa; 2017. https://doi.org/10.31274/etd-180810-5784 DOI: https://doi.org/10.31274/etd-180810-5784
Champagne K, Boot WR. Exploring predictors of mobile device proficiency among older adult. In: Kurosu M, editor. Humancomputer Interaction Interaction Contexts. Vol. 10272. Cham: Springer International Publishing; 2017. p. 162-71. Available from: https://www.link.springer.com/10.1007/978-3-319-58077-7 https://doi.org/10.1007/978-3-319-58077-7_13 [Last accessed on 2021 Jan 15]. DOI: https://doi.org/10.1007/978-3-319-58077-7_13
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Copyright (c) 2022 Nurhasanah Nurhasanah, Hanifa Asmawita, Khairani Khairani, Nurul Hadi, Irfanita Nurhidayah, Dara Febriana, Ardia Putra (Author)
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