The diffusion of gerontechnology for fall prevention, fall detection, and fall monitoring model testing...International Society for Gerontechnology's (ISG) 12th World Conference of Gerontechnology, October 6-9, 2020 (Virtual)
Background. Over recent years, a number of gerontechnologies for fall prevention, fall detection, and fall monitoring have emerged to promote aging-in-place at home (Van Hoof et al., 2011; Godfrey 2017). These types of gerontechnologies have been generated or adapted to be pro-active in preventing a...
| Published in: | Gerontechnology Vol. 19; pp. 56 - 57 |
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| Main Authors: | , |
| Format: | abstract proceedings research tables/charts Journal Article |
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International Society for Gerontechnology
2020 Supplement
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155639945&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155639945 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15691101 904R jtl: Gerontechnology issn: 15691101 maglogo: N pubinfo: dt: 2020 Supplement vid: 19 pid: 54298 pub: International Society for Gerontechnology artinfo: ui: 155639945 155639945 155639945 10.4017/gt.2020.19.s.69895 155639945 ppf: 56 ppct: 1 formats: tig: atl: The diffusion of gerontechnology for fall prevention, fall detection, and fall monitoring model testing...International Society for Gerontechnology's (ISG) 12th World Conference of Gerontechnology, October 6-9, 2020 (Virtual) aug: au: Pereira, G. F. Kang, M. affil: Department of Family and Consumer Sciences. Illinois State University, USA sug: subj: Accidental Falls Prevention and Control Aging Monitoring, Physiologic Gerontologic Care Diffusion of Innovation Congresses and Conferences ab: Background. Over recent years, a number of gerontechnologies for fall prevention, fall detection, and fall monitoring have emerged to promote aging-in-place at home (Van Hoof et al., 2011; Godfrey 2017). These types of gerontechnologies have been generated or adapted to be pro-active in preventing and detecting falls, as well as on monitoring older adults activities at home environments to rapidly respond in case of a fall (Hawley-Hague et al., 2014). However, the literature does not make clear what influence older adults to adopt or reject the use of such devices. Purpose The purpose of this study was to examine the diffusion of gerontechnologies for fall prevention, detection, and monitoring among older adults for aging-in-place based on the model of five stages in the innovation-decision process, proposed by Rogers (Rogers 2003). Methods The predictors of the first three stages of the original model4 - knowledge, persuasion, and decision -- were examined and variables related to older adults' characteristics, housing interior design, relationship with technology, aging-in-place, and fall concerns were included in the model to be tested (Figure 1). A self-administered survey was conducted with 331 older adults in southwestern U.S.A. The inclusion criteria encompassed age (being 55 years or older), living in the community (not living in a long-term care facility), and being able to read, understand, and fill out a paper survey. The questionnaire consisted of three sections: talking about yourself, talking about your home, and talking about technology, respectively. In the last section, participants were presented to different types of fall prevention, fall detection, and fall monitoring gerontechnologies and were asked to answer questions about each type individually. Descriptive statistics was used to analyse the characteristics of the sample. Path analysis through multiple regression was used to test direct, indirect, and total effects of the variables in the proposed model with 15 hypotheses organized in eight groups. Results & Discussion The main path of the model (knowledge, persuasion, and decision stages) appeared to have the most significant relationships, while the variables that influence the main path would vary from type to type of fa 11-related gerontechnology. Among the variables around the main path, technology readiness was a significant predictor for at least one stage of the innovation-decision process for fall prevention, detection, and monitoring gerontechnologies. In addition, sources of information were correlated to the different stages of the process; however, it had the highest significance to the persuasion stage. Participants in this study highly rely on their children when accepting to purchase new technologies. Overall, older adults living in the community in southwestern USA are unaware about most of the new fall-related gerontechnologies. Those who presented higher levels of perceived knowledge and technology readiness, also presented more positive attitudes towards and higher purchase intention of fall-related gerontechnologies. pubtype: Academic Journal doctype: abstract proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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