Evidence map›Paper›PMID 35926470›Full record

ArticleThe Gerontologist2023

Automated Vehicles for People With Dementia: A "Tremendous Potential" That "Has Ways to go"-Reports of a Qualitative Study.

Shabnam Haghzare, Elaine Stasiulis, Ghazaleh Delfi, Hodan Mohamud, Mark J Rapoport, Gary Naglie, Alex Mihailidis, Jennifer L Campos

Abstract read
In one paragraph

Article in The Gerontologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Shabnam HaghzareInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-7973-2586
Elaine StasiulisInstitute of Medical Science, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-3572-9371
Ghazaleh DelfiKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.
Hodan MohamudKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.
Mark J RapoportDepartment of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.ORCID 0000-0003-2670-1975
Gary NaglieDepartment of Medicine and Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.ORCID 0000-0002-6274-0894
Alex MihailidisKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-2233-0919
Jennifer L CamposKITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-7054-3946

Funding

CIHR CAN 137794CIHR PJT-189181
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe prospect of automated vehicles (AVs) has generated excitement among the public and the research community about their potential to sustain the safe driving of people with dementia. However, no study to date has assessed the views of people with dementia on whether AVs may address their driving challenges. RESEARCH DESIGN AND

methodsThis mixed-methods study included two phases, completed by nine people with dementia. Phase I included questionnaires and individual semistructured interviews on attitudes toward using different types of AVs (i.e., partially or fully automated). Interpretative phenomenological analysis was used to assess participants' underlying reasons for and against AV use. The participants' identified reasons against AV use informed the focus group discussions in Phase II, where participants were asked to reflect on potential means of overcoming their hesitancies regarding AV use.

resultsThe results showed that people with dementia might place higher levels of trust in fully automated compared to partially automated AVs. In addition, while people with dementia expressed multiple incentives to use AVs (e.g., regaining personal freedom), they also had hesitations about AV use. These hesitancies were based on their perceptions about AVs (e.g., cost), their own abilities (i.e., potential challenges operating an AV), and driving conditions (i.e., risk of driving in adverse weather conditions). DISCUSSION AND IMPLICATIONS: The findings of this study can help promote the research community's appreciation and understanding of the significant potential of AVs for people with dementia while elucidating the potential barriers of AV use by people with dementia.

Indexed as

Automobile DrivingDementiaAccidents, TrafficAttitudeAutonomous VehiclesHumansQualitative ResearchAutomated vehiclesDementiaDrivingFocus groupQualitative analysis

Identifiers

PMID35926470
PMCPMC9872766

What OpenQuestion holds

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LicenceCC BY-NC
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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.