Evidence map›Paper›PMID 35749213›Full record

ArticleJMIR aging2022

Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study.

Yuanyuan Cao, Mojisola Erdt, Caroline Robert, Nurhazimah Binte Naharudin, Shan Qi Lee, Yin-Leng Theng

Open access · goldAbstract read
In one paragraph

Article in JMIR aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Yuanyuan Cao *Centre for Healthy and Sustainable Cities, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-5406-1154
Mojisola Erdt *Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID https://orcid.org/0000-0003-2371-6768
Caroline RobertCentre for Healthy and Sustainable Cities, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0381-593X
Nurhazimah Binte NaharudinCentre for Healthy and Sustainable Cities, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0003-3770-0740
Shan Qi LeeCentre for Healthy and Sustainable Cities, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0001-5613-3695
Yin-Leng ThengCentre for Healthy and Sustainable Cities, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0003-2351-8884
Nanyang Technological University · SGAgency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing aging population has become a pressing problem in many countries. Smart systems and intelligent technologies support aging in place, thereby alleviating the strain on health care systems.

objectiveThis study aims to identify decision-making factors involved in the adoption of smart home sensors (SHS) by older adults in Singapore.

methodsThe study involved 3 phases: as an intervention, SHS were installed in older adults' homes (N=42) for 4 to 5 weeks; in-depth semistructured interviews were conducted with 18 older adults, 2 center managers, 1 family caregiver, and 1 volunteer to understand the factors involved in the decision-making process toward adoption of SHS; and follow-up feedback was collected from 42 older adult participants to understand the reasons for adopting or not adopting SHS.

resultsOf the 42 participants, 31 (74%) adopted SHS after the intervention, whereas 11 (26%) did not adopt SHS. The reasons for not adopting SHS ranged from privacy concerns to a lack of family support. Some participants did not fully understand SHS functionality and did not perceive the benefits of using SHS. From the interviews, we found that the decision-making process toward the adoption of SHS technology involved intrinsic factors, such as understanding the technology and perceiving its usefulness and benefits, and more extrinsic factors, such as considering affordability and care support from the community.

conclusionsWe found that training and a strong support ecosystem could empower older adults in their decision to adopt technology. We advise the consideration of human values and involvement of older adults in the design process to build user-centric assistive technology.

Indexed as

aging in placeassisted living facilitiesassistive technologyhealth care systems and managementtelehealth

Identifiers

PMID35749213
PMCPMC9270706
OpenAlexW4283449971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.