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

Author

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  • 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
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    References listed on IDEAS

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    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.

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