Acceptance of Technologies for Aging in Place: A Conceptual Model
Older adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support t...
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| Vydáno v: | Journal of medical Internet research Ročník 23; číslo 3; s. e22613 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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JMIR Publications
31.03.2021
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| ISSN: | 1438-8871, 1439-4456, 1438-8871 |
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| Abstract | Older adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs.
The aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors.
A conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships.
Our conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73).
This study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users' needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation. |
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| AbstractList | BackgroundOlder adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs. ObjectiveThe aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors. MethodsA conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships. ResultsOur conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73). ConclusionsThis study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users’ needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation. Older adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs. The aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors. A conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships. Our conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73). This study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users' needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation. Older adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs.BACKGROUNDOlder adults want to preserve their health and autonomy and stay in their own home environment for as long as possible. This is also of interest to policy makers who try to cope with growing staff shortages and increasing health care expenses. Ambient assisted living (AAL) technologies can support the desire for independence and aging in place. However, the implementation of these technologies is much slower than expected. This has been attributed to the lack of focus on user acceptance and user needs.The aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors.OBJECTIVEThe aim of this study is to develop a theoretically grounded understanding of the acceptance of AAL technologies among older adults and to compare the relative importance of different acceptance factors.A conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships.METHODSA conceptual model of AAL acceptance was developed using the theory of planned behavior as a theoretical starting point. A web-based survey of 1296 older adults was conducted in the Netherlands to validate the theoretical model. Structural equation modeling was used to analyze the hypothesized relationships.Our conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73).RESULTSOur conceptual model showed a good fit with the observed data (root mean square error of approximation 0.04; standardized root mean square residual 0.06; comparative fit index 0.93; Tucker-Lewis index 0.92) and explained 69% of the variance in intention to use. All but 2 of the hypothesized paths were significant at the P<.001 level. Overall, older adults were relatively open to the idea of using AAL technologies in the future (mean 3.34, SD 0.73).This study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users' needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation.CONCLUSIONSThis study contributes to a more user-centered and theoretically grounded discourse in AAL research. Understanding the underlying behavioral, normative, and control beliefs that contribute to the decision to use or reject AAL technologies helps developers to make informed design decisions based on users' needs and concerns. These insights on acceptance factors can be valuable for the broader field of eHealth development and implementation. |
| Author | van Dijk, Jan A G M Peters, Oscar Jaschinski, Christina Ben Allouch, Somaya Cachucho, Ricardo |
| AuthorAffiliation | 1 Research Group Technology, Health & Care Saxion University of Applied Sciences Enschede Netherlands 3 Saxion University of Applied Sciences Enschede Netherlands 4 Leiden Institute of Advanced Computer Science (LIACS) Leiden University Leiden Netherlands 2 Digital Life Amsterdam University of Applied Sciences Amsterdam Netherlands 5 University of Twente Enschede Netherlands |
| AuthorAffiliation_xml | – name: 4 Leiden Institute of Advanced Computer Science (LIACS) Leiden University Leiden Netherlands – name: 5 University of Twente Enschede Netherlands – name: 1 Research Group Technology, Health & Care Saxion University of Applied Sciences Enschede Netherlands – name: 2 Digital Life Amsterdam University of Applied Sciences Amsterdam Netherlands – name: 3 Saxion University of Applied Sciences Enschede Netherlands |
| Author_xml | – sequence: 1 givenname: Christina orcidid: 0000-0002-7940-7684 surname: Jaschinski fullname: Jaschinski, Christina – sequence: 2 givenname: Somaya orcidid: 0000-0002-3502-4016 surname: Ben Allouch fullname: Ben Allouch, Somaya – sequence: 3 givenname: Oscar orcidid: 0000-0001-7914-2463 surname: Peters fullname: Peters, Oscar – sequence: 4 givenname: Ricardo orcidid: 0000-0002-5975-1058 surname: Cachucho fullname: Cachucho, Ricardo – sequence: 5 givenname: Jan A G M orcidid: 0000-0001-9739-3266 surname: van Dijk fullname: van Dijk, Jan A G M |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33787505$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/s0885-3924(03)00327-0 10.14236/jhi.v16i3.694 10.1007/s12369-014-0242-2 10.1145/997078.997089 10.1016/j.ijmedinf.2011.02.010 10.2307/2291315 10.1521/soco.2007.25.5.603 10.1080/07370024.2017.1312406 10.1109/TEM.2006.883710 10.1348/135910700168892 10.2307/249751 10.1145/1957656.1957665 10.2307/30036540 10.1145/1161345.1161355 10.1016/j.ijmedinf.2017.08.006 10.4017/gt.2013.11.3.001.00 10.1007/s11747-014-0403-8 10.1145/1054972.1055044 10.1207/s15328007sem0803_5 10.1037/1082-989X.7.1.64 10.3390/ijerph121214999 10.1007/s12652-018-0856-6 10.1093/geront/41.5.652 10.1186/s12913-019-4238-3 10.2147/AHMT.S56207 10.1145/638249.638277 10.1348/014466601164939 10.1145/1518701.1518814 10.1093/geront/gny112 10.1016/0749-5978(91)90020-T 10.1093/geront/gnz163 10.1007/BF02310555 10.1287/isre.2.3.173 10.1080/08870449808407422 10.1287/isre.9.2.204 10.1007/s10209-013-0328-x 10.2196/jmir.3979 10.1093/jpepsy/jst048 10.1080/14639230410001684387 10.1109/IEMBS.2011.6091176 10.1186/1472-6947-10-73 10.1007/s12652-016-0374-3 10.21037/mhealth.2017.01.03 10.4108/icst.pervasivehealth2010.8915 10.4135/9781412983655 10.1186/1741-7015-9-46 10.1111/j.1365-2702.2006.01803.x 10.1287/mnsc.35.8.982 10.1007/978-3-319-26005-1_4 10.1016/j.ijmedinf.2012.10.005 10.1093/geront/gnu028 10.1371/journal.pone.0141790 10.17705/1jais.00122 10.1016/j.techfore.2013.06.013 10.1016/j.ijmedinf.2014.01.004 10.1080/10400435.2016.1219885 10.1007/978-3-319-24195-1_2 10.1016/j.ijmedinf.2016.07.004 10.1016/j.jcps.2010.03.002 10.1521/soco.2007.25.5.638 10.1016/s0148-2963(01)00276-4 10.2307/2786955 10.1016/s0377-2217(02)00578-7 10.1016/j.ijmedinf.2016.04.007 10.1007/978-3-642-01516-8_7 10.1145/1985347.1985353 10.1007/s12126-010-9083-y 10.1016/j.ijmedinf.2014.06.005 10.1016/j.ijmedinf.2009.08.001 10.3233/thc-2008-16205 10.1111/j.1532-5415.2010.02959.x 10.2196/13117 10.1287/isre.6.2.144 10.18637/jss.v048.i02 10.1258/1357633001935059 10.1016/s0065-2601(08)60358-5 10.1515/jisys-2014-0136 10.14236/jhi.v19i4.814 10.1177/1460458212442933 10.1016/0167-8116(95)00027-5 10.2307/25148720 10.1145/2696867 10.1109/jbhi.2012.2234129 10.1093/jamia/ocw037 10.1016/j.chb.2004.03.003 10.17705/1jais.00126 10.1075/is.17.3.08deg 10.1177/0733464807311435 10.5167/uzh-71046 10.4278/0890-1171-11.2.87 10.1016/j.jsp.2009.10.001 10.1093/geront/42.1.39 10.1007/s11948-014-9552-x |
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| Copyright | Christina Jaschinski, Somaya Ben Allouch, Oscar Peters, Ricardo Cachucho, Jan A G M van Dijk. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.03.2021. Christina Jaschinski, Somaya Ben Allouch, Oscar Peters, Ricardo Cachucho, Jan A G M van Dijk. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.03.2021. 2021 |
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| Keywords | theory of planned behavior assistive technology technology adoption healthy aging structural equation modeling ambient assisted living |
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| License | Christina Jaschinski, Somaya Ben Allouch, Oscar Peters, Ricardo Cachucho, Jan A G M van Dijk. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.03.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
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| References | ref57 ref56 ref59 ref58 ref52 Rogers, EM (ref36) 2003 ref55 ref54 Ajzen, I (ref51) 2005 ref46 ref45 ref48 ref47 ref42 ref41 McDonald, RP (ref96) 2002; 7 Bandura, A (ref107) 1997 ref44 ref43 ref49 ref7 Aarts, EHL (ref8) 2003 ref9 ref4 ref3 ref6 ref5 ref100 ref40 Armitage, CJ (ref53) 2001; 40 ref35 ref34 ref37 ref31 ref30 ref33 ref32 ref39 ref38 Kline, RB (ref93) 2016 ref24 ref23 ref26 ref25 ref20 ref22 Jöreskog, KG (ref92) 1993 ref21 ref28 ref27 ref29 ref13 ref12 ref15 ref14 ref97 ref11 ref10 ref98 ref17 ref16 ref19 ref18 ref95 ref94 Benbasat, I (ref50) 2007; 8 ref91 ref90 ref89 ref86 ref85 ref88 ref87 Willis, GB (ref72) 2005 Hair, JF (ref99) 2010 ref82 ref81 ref84 ref83 ref80 ref79 ref108 ref78 ref109 ref106 Jaschinski, C (ref60) 2015; 7 ref75 ref104 ref74 ref105 ref77 ref102 ref76 Sixsmith, AJ (ref101) 2000; 6 ref103 ref2 ref1 ref111 ref70 ref112 ref73 ref110 ref68 ref67 ref69 ref64 ref115 ref63 ref66 ref113 ref65 ref114 DeVellis, R (ref71) 2003 ref62 ref61 |
| References_xml | – ident: ref2 doi: 10.1016/s0885-3924(03)00327-0 – year: 2003 ident: ref8 publication-title: The New Everyday: Views on Ambient Intelligence – ident: ref104 doi: 10.14236/jhi.v16i3.694 – ident: ref19 doi: 10.1007/s12369-014-0242-2 – ident: ref67 doi: 10.1145/997078.997089 – ident: ref59 doi: 10.1016/j.ijmedinf.2011.02.010 – ident: ref73 doi: 10.2307/2291315 – ident: ref113 doi: 10.1521/soco.2007.25.5.603 – ident: ref42 doi: 10.1080/07370024.2017.1312406 – ident: ref86 doi: 10.1109/TEM.2006.883710 – ident: ref80 doi: 10.1348/135910700168892 – ident: ref32 doi: 10.2307/249751 – ident: ref65 – ident: ref23 doi: 10.1145/1957656.1957665 – ident: ref39 doi: 10.2307/30036540 – ident: ref55 doi: 10.1145/1161345.1161355 – year: 2016 ident: ref93 publication-title: Principles and practice of structural equation modeling – ident: ref17 doi: 10.1016/j.ijmedinf.2017.08.006 – ident: ref82 doi: 10.4017/gt.2013.11.3.001.00 – ident: ref98 doi: 10.1007/s11747-014-0403-8 – ident: ref103 doi: 10.1145/1054972.1055044 – ident: ref76 doi: 10.1207/s15328007sem0803_5 – volume: 7 start-page: 64 issue: 1 year: 2002 ident: ref96 publication-title: Psychol Methods doi: 10.1037/1082-989X.7.1.64 – ident: ref106 doi: 10.3390/ijerph121214999 – ident: ref7 doi: 10.1007/s12652-018-0856-6 – ident: ref81 doi: 10.1093/geront/41.5.652 – ident: ref10 doi: 10.1186/s12913-019-4238-3 – ident: ref46 doi: 10.2147/AHMT.S56207 – ident: ref62 doi: 10.1145/638249.638277 – volume: 40 start-page: 471 issue: Pt 4 year: 2001 ident: ref53 publication-title: Br J Soc Psychol doi: 10.1348/014466601164939 – ident: ref33 doi: 10.1145/1518701.1518814 – ident: ref63 doi: 10.1093/geront/gny112 – ident: ref3 – ident: ref40 doi: 10.1016/0749-5978(91)90020-T – ident: ref28 doi: 10.1093/geront/gnz163 – ident: ref97 doi: 10.1007/BF02310555 – ident: ref44 doi: 10.1287/isre.2.3.173 – ident: ref68 – year: 1997 ident: ref107 publication-title: Self-efficacy: the exercise of control – year: 2003 ident: ref36 publication-title: Diffusion of Innovations. 5th edition – ident: ref108 doi: 10.1080/08870449808407422 – ident: ref78 doi: 10.1287/isre.9.2.204 – ident: ref12 doi: 10.1007/s10209-013-0328-x – ident: ref66 doi: 10.2196/jmir.3979 – ident: ref75 doi: 10.1093/jpepsy/jst048 – ident: ref24 doi: 10.1080/14639230410001684387 – ident: ref102 doi: 10.1109/IEMBS.2011.6091176 – ident: ref38 – ident: ref35 doi: 10.1186/1472-6947-10-73 – ident: ref6 doi: 10.1007/s12652-016-0374-3 – ident: ref48 doi: 10.21037/mhealth.2017.01.03 – ident: ref100 doi: 10.4108/icst.pervasivehealth2010.8915 – ident: ref52 – year: 2005 ident: ref72 publication-title: Cognitive Interviewing: A Tool for Improving Questionnaire Design doi: 10.4135/9781412983655 – ident: ref14 doi: 10.1186/1741-7015-9-46 – ident: ref1 doi: 10.1111/j.1365-2702.2006.01803.x – ident: ref37 doi: 10.1287/mnsc.35.8.982 – ident: ref83 doi: 10.1007/978-3-319-26005-1_4 – ident: ref115 doi: 10.1016/j.ijmedinf.2012.10.005 – ident: ref5 doi: 10.1093/geront/gnu028 – ident: ref111 doi: 10.1371/journal.pone.0141790 – ident: ref49 doi: 10.17705/1jais.00122 – ident: ref29 doi: 10.1016/j.techfore.2013.06.013 – ident: ref69 – ident: ref95 – ident: ref13 doi: 10.1016/j.ijmedinf.2014.01.004 – ident: ref109 doi: 10.1080/10400435.2016.1219885 – volume: 7 start-page: 40 issue: 1&2 year: 2015 ident: ref60 publication-title: International Journal on Advances in Life Sciences – ident: ref61 doi: 10.1007/978-3-319-24195-1_2 – start-page: 173 year: 2005 ident: ref51 publication-title: The handbook of attitudes – ident: ref20 doi: 10.1016/j.ijmedinf.2016.07.004 – ident: ref91 doi: 10.1016/j.jcps.2010.03.002 – ident: ref112 doi: 10.1521/soco.2007.25.5.638 – ident: ref88 doi: 10.1016/s0148-2963(01)00276-4 – ident: ref56 doi: 10.2307/2786955 – ident: ref77 doi: 10.1016/s0377-2217(02)00578-7 – ident: ref11 doi: 10.1016/j.ijmedinf.2016.04.007 – ident: ref79 doi: 10.1007/978-3-642-01516-8_7 – ident: ref89 doi: 10.1145/1985347.1985353 – ident: ref105 doi: 10.1007/s12126-010-9083-y – ident: ref21 doi: 10.1016/j.ijmedinf.2014.06.005 – ident: ref57 doi: 10.1016/j.ijmedinf.2009.08.001 – ident: ref114 doi: 10.3233/thc-2008-16205 – ident: ref64 – ident: ref26 doi: 10.1111/j.1532-5415.2010.02959.x – ident: ref18 doi: 10.2196/13117 – year: 2010 ident: ref99 publication-title: Multivariate Data Analysis – ident: ref43 doi: 10.1287/isre.6.2.144 – ident: ref25 – ident: ref94 doi: 10.18637/jss.v048.i02 – volume: 6 start-page: 63 issue: 2 year: 2000 ident: ref101 publication-title: J Telemed Telecare doi: 10.1258/1357633001935059 – ident: ref54 doi: 10.1016/s0065-2601(08)60358-5 – ident: ref31 doi: 10.1515/jisys-2014-0136 – year: 2003 ident: ref71 publication-title: Scale development:Theory and Applications – ident: ref70 – ident: ref110 – ident: ref16 doi: 10.14236/jhi.v19i4.814 – ident: ref22 doi: 10.1177/1460458212442933 – ident: ref85 doi: 10.1016/0167-8116(95)00027-5 – ident: ref4 – ident: ref41 doi: 10.2307/25148720 – ident: ref30 doi: 10.1145/2696867 – ident: ref9 doi: 10.1109/jbhi.2012.2234129 – ident: ref84 – ident: ref15 doi: 10.1093/jamia/ocw037 – ident: ref90 doi: 10.1016/j.chb.2004.03.003 – volume: 8 start-page: 211 issue: 4 year: 2007 ident: ref50 publication-title: Journal of the Association for Information Systems doi: 10.17705/1jais.00126 – ident: ref34 doi: 10.1075/is.17.3.08deg – ident: ref58 doi: 10.1177/0733464807311435 – ident: ref87 doi: 10.5167/uzh-71046 – ident: ref45 doi: 10.4278/0890-1171-11.2.87 – start-page: 294 year: 1993 ident: ref92 publication-title: Testing Structural Equation Models – ident: ref74 doi: 10.1016/j.jsp.2009.10.001 – ident: ref47 doi: 10.1093/geront/42.1.39 – ident: ref27 doi: 10.1007/s11948-014-9552-x |
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| Title | Acceptance of Technologies for Aging in Place: A Conceptual Model |
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