Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age
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 accep...
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| Veröffentlicht in: | International journal of environmental research and public health 2022-03, Vol.19 (5), p.2947 |
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| creator | Chimento-Díaz, Sara Sánchez-García, Pablo Franco-Antonio, Cristina Santano-Mogena, Esperanza Espino-Tato, Isabel Cordovilla-Guardia, Sergio |
| description | 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.
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.
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.
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.
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. |
| doi_str_mv | 10.3390/ijerph19052947 |
| format | Article |
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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.
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.
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.
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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19052947</identifier><identifier>PMID: 35270640</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Acceptability ; Age ; Aged ; Aging ; Autonomy ; Cross-Sectional Studies ; Education ; Humans ; Independent Living ; Institutionalization ; Loneliness ; Morbidity ; New technology ; Older people ; Population ; Quality of Life ; Sensors ; Severe acute respiratory syndrome coronavirus 2 ; Social factors ; Social networks ; Technology ; Technology Acceptance Model ; User behavior</subject><ispartof>International journal of environmental research and public health, 2022-03, Vol.19 (5), p.2947</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-dc2bbdaaee9b21c49049b6f8198337014c9ee0b9e3e9b24067224b1b5f5c9b463</citedby><cites>FETCH-LOGICAL-c463t-dc2bbdaaee9b21c49049b6f8198337014c9ee0b9e3e9b24067224b1b5f5c9b463</cites><orcidid>0000-0001-7651-5017 ; 0000-0001-8427-2836 ; 0000-0002-2722-8422</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910177/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910177/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35270640$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chimento-Díaz, Sara</creatorcontrib><creatorcontrib>Sánchez-García, Pablo</creatorcontrib><creatorcontrib>Franco-Antonio, Cristina</creatorcontrib><creatorcontrib>Santano-Mogena, Esperanza</creatorcontrib><creatorcontrib>Espino-Tato, Isabel</creatorcontrib><creatorcontrib>Cordovilla-Guardia, Sergio</creatorcontrib><title>Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>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.
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.
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.
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.
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.</description><subject>Acceptability</subject><subject>Age</subject><subject>Aged</subject><subject>Aging</subject><subject>Autonomy</subject><subject>Cross-Sectional Studies</subject><subject>Education</subject><subject>Humans</subject><subject>Independent Living</subject><subject>Institutionalization</subject><subject>Loneliness</subject><subject>Morbidity</subject><subject>New technology</subject><subject>Older people</subject><subject>Population</subject><subject>Quality of Life</subject><subject>Sensors</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Social factors</subject><subject>Social networks</subject><subject>Technology</subject><subject>Technology Acceptance Model</subject><subject>User behavior</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpVkU1LAzEURYMoWqtblxJw3ZpMMplmI5TiFxR1UReuQpJ500mZTsZkWvHfm2IVXeVBzj3vwUXogpIxY5JcuxWErqaS5JnkxQEaUCHIiAtCD__MJ-g0xhUhbMKFPEYnLM8KIjgZoPWdtr0PEU9j9NbpHkr84foa9zXgqbXQ9bq1gH2Fn-ADL8DWrW_80kHElQ94ugTXLrFr8UujE2c-8Qv4rkmJLQQsOH4DnfQpn9AzdFTpJsL5_h2i17vbxexhNH--f5xN5yPLBetHpc2MKbUGkCajlkvCpRHVhMoJYwWh3EoAYiSwHcCJKLKMG2ryKrfSJMUQ3Xx7u41ZQ2mh7YNuVBfcWodP5bVT_39aV6ul36qJpIQWRRJc7QXBv28g9mrlN6FNN6tMsELknBQsUeNvygYfY4DqdwMlaleP-l9PClz-vesX_-mDfQH9n4zB</recordid><startdate>20220303</startdate><enddate>20220303</enddate><creator>Chimento-Díaz, Sara</creator><creator>Sánchez-García, Pablo</creator><creator>Franco-Antonio, Cristina</creator><creator>Santano-Mogena, Esperanza</creator><creator>Espino-Tato, Isabel</creator><creator>Cordovilla-Guardia, Sergio</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7651-5017</orcidid><orcidid>https://orcid.org/0000-0001-8427-2836</orcidid><orcidid>https://orcid.org/0000-0002-2722-8422</orcidid></search><sort><creationdate>20220303</creationdate><title>Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age</title><author>Chimento-Díaz, Sara ; 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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.
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.
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.
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.
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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35270640</pmid><doi>10.3390/ijerph19052947</doi><orcidid>https://orcid.org/0000-0001-7651-5017</orcidid><orcidid>https://orcid.org/0000-0001-8427-2836</orcidid><orcidid>https://orcid.org/0000-0002-2722-8422</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
| subjects | Acceptability Age Aged Aging Autonomy Cross-Sectional Studies Education Humans Independent Living Institutionalization Loneliness Morbidity New technology Older people Population Quality of Life Sensors Severe acute respiratory syndrome coronavirus 2 Social factors Social networks Technology Technology Acceptance Model User behavior |
| title | Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age |
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