IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p2947-d763105.html
   My bibliography  Save this article

Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age

Author

Listed:
  • Sara Chimento-Díaz

    (Department of Computer and Telematic Systems Engineering, Polytechnic School of Cáceres, University of Extremadura, 10003 Cáceres, Spain
    Health and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain)

  • Pablo Sánchez-García

    (Health and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain
    Department of Medical-Surgical Therapy, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain)

  • Cristina Franco-Antonio

    (Health and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain
    Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain)

  • Esperanza Santano-Mogena

    (Health and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain
    Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain)

  • Isabel Espino-Tato

    (Department of Computer and Telematic Systems Engineering, Polytechnic School of Cáceres, University of Extremadura, 10003 Cáceres, Spain)

  • Sergio Cordovilla-Guardia

    (Health and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain
    Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain)

Abstract

Background: In the context of growing population ageing, technologies aimed at helping people age in place play a fundamental role. Acceptance of the implementation of technological solutions can be defined as the intention to use a technology or the effective use of it. Approaches based on the technology acceptance model (TAM) have been shown to have good predictive power for pre-implementation attitudes towards new technologies. Objective: To analyze the degree of acceptability of the use of new technologies for ageing in place and the factors associated with greater acceptance in people older than 64 years. Methodology: A descriptive cross-sectional study was carried out. Sociodemographic, clinical and environmental variables, architectural barriers, social risk and quality of life, degree of autonomy, morbidity, and risk of falls were collected in a population sample over 64 years of age in a large region of western Spain. The degree of acceptance of the use of technologies was measured through a scale based on the TAM. Results: Of the 293 people included in the study, 36.2% exhibited a high acceptability of new technologies, 28.3% exhibited a medium acceptability, and 35.5% exhibited a low acceptability. Of all the factors, age, education level, and living alone were significantly associated with high acceptance in the adjusted analyses. Conclusions: Younger age, a higher education level, and living alone are factors associated with a greater degree of acceptance of the use of technologies for ageing in place.

Suggested Citation

  • Sara Chimento-Díaz & Pablo Sánchez-García & Cristina Franco-Antonio & Esperanza Santano-Mogena & Isabel Espino-Tato & Sergio Cordovilla-Guardia, 2022. "Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age," IJERPH, MDPI, vol. 19(5), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2947-:d:763105
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/2947/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/5/2947/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cutchin, Malcolm P., 2003. "The process of mediated aging-in-place: a theoretically and empirically based model," Social Science & Medicine, Elsevier, vol. 57(6), pages 1077-1090, September.
    2. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447.
    3. Gaétan Lafortune & Gaëlle Balestat, 2007. "Trends in Severe Disability Among Elderly People: Assessing the Evidence in 12 OECD Countries and the Future Implications," OECD Health Working Papers 26, OECD Publishing.
    4. Linda Partridge & Joris Deelen & P. Eline Slagboom, 2018. "Facing up to the global challenges of ageing," Nature, Nature, vol. 561(7721), pages 45-56, September.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kanzola, Anna-Мaria & Papaioannou, Konstantina & Petrakis, Panagiotis, 2024. "Unlocking society's standings in artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Maria Gabriella Melchiorre & Barbara D’Amen & Sabrina Quattrini & Giovanni Lamura & Marco Socci, 2022. "Caring for Frail Older People Living Alone in Italy: Future Housing Solutions and Responsibilities of Family and Public Services, a Qualitative Study," IJERPH, MDPI, vol. 19(12), pages 1-29, June.
    3. Maria Gabriella Melchiorre & Marco Socci & Sabrina Quattrini & Giovanni Lamura & Barbara D’Amen, 2022. "Frail Older People Ageing in Place in Italy: Use of Health Services and Relationship with General Practitioner," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    4. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    5. Jui-Che Tu & Shi Chen Luo & Yi-Lin Lee & Ming-Feng Shih & Shu-Ping Chiu, 2022. "Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
    6. Maria Gabriella Melchiorre & Barbara D’Amen & Sabrina Quattrini & Giovanni Lamura & Marco Socci, 2022. "Health Emergencies, Falls, and Use of Communication Technologies by Older People with Functional and Social Frailty: Ageing in Place in Deprived Areas of Italy," IJERPH, MDPI, vol. 19(22), pages 1-23, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matus-Löpez, Mauricio, 2017. "Políticas públicas de cuidados a mayores dependientes en América Latina: Financiamiento, equidad y modelos [Public policies for care for dependent older adults in Latin America: Financing, equity a," MPRA Paper 105480, University Library of Munich, Germany.
    2. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    3. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    4. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    5. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    6. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    7. Dreher, Axel & Fuchs, Andreas & Langlotz, Sarah, 2019. "The effects of foreign aid on refugee flows," European Economic Review, Elsevier, vol. 112(C), pages 127-147.
    8. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    9. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    10. Njangang, Henri & Nembot Ndeffo, Luc & Noubissi Domguia, Edmond & Fosto Koyeu, Prevost, 2018. "The long-run and short-run effects of foreign direct investment, foreign aid and remittances on economic growth in African countries," MPRA Paper 89747, University Library of Munich, Germany.
    11. Ehigiamusoe, Kizito Uyi & Lean, Hooi Hooi & Smyth, Russell, 2020. "The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries," Applied Energy, Elsevier, vol. 261(C).
    12. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    13. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    14. Chakraborty, Adrij, 2017. "Colonial Origins and Comparative Development: Institutions Matter," MPRA Paper 86320, University Library of Munich, Germany, revised Feb 2018.
    15. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    16. Elert, Niklas & Henrekson, Magnus, 2017. "Entrepreneurship and Institutions: A Bidirectional Relationship," Working Paper Series 1153, Research Institute of Industrial Economics, revised 05 May 2017.
    17. Klagge Britta & Zademach Hans-Martin, 2018. "International capital flows, stock markets, and uneven development: the case of Sub-Saharan Africa and the Sustainable Stock Exchanges Initiative (SSEI)," ZFW – Advances in Economic Geography, De Gruyter, vol. 62(2), pages 92-107, May.
    18. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    19. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    20. Mary D. Adu & Usman H. Malabu & Aduli E. O. Malau-Aduli & Aaron Drovandi & Bunmi S. Malau-Aduli, 2020. "Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes," IJERPH, MDPI, vol. 17(7), pages 1-18, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2947-:d:763105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.