Evidence map›Paper›PMID 39630631›Full record

Trial reportJournal of the American Geriatrics Society2025

An online driving decision aid for older drivers reduces ambivalence and regret about driving decisions: Randomized trial.

Carolyn G DiGuiseppi, Linda L Hill, Nicole R Fowler, Rachel L Johnson, Ryan A Peterson, S Duke Han, Brandon Josewski, Christopher E Knoepke, Daniel D Matlock, Faris Omeragic and 1 more

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Journal of the American Geriatrics Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Carolyn G DiGuiseppiDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-6440-7817
Linda L HillHerbert Wertheim School of Public Health, University of California San Diego, San Diego, California, USA.
Nicole R FowlerDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Rachel L JohnsonDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Ryan A PetersonDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
S Duke HanDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Brandon JosewskiDepartment of Emergency Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Christopher E KnoepkeDivision of Cardiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Daniel D MatlockDivision of Geriatric Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Faris OmeragicDepartment of Emergency Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Marian E BetzDepartment of Emergency Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Decision Making Among Older Adults: the AUTO studyR01AG059613 · NIA · UNIVERSITY OF COLORADO DENVER · PI BETZ, MARIAN ELIZABETH · 2019 to 2023
$3.7M
NCATS NIH HHS UL1 TR002535NIA NIH HHS R01 AG059613
6 · The paper itself

Abstract

backgroundDecisions about driving cessation can be stressful for older adults. We tested effects of a driving decision aid (DDA) on psychosocial outcomes among older drivers during two-year follow-up.

methodsMultisite randomized controlled trial of licensed drivers ages ≥70 with at least one diagnosis associated with increased likelihood of driving cessation, without significant cognitive impairment. The intervention was the online Healthwise® DDA, addressing "Is it time to stop driving?"; controls received National Institute on Aging web-based information for older drivers. Outcomes were assessed at baseline, 6, 12, 18, and 24 months. Primary outcomes were the Decision Regret Scale, Decisional Conflict Scale (assessing decisional ambivalence or uncertainty), and PROMIS Depression (4a) Scale. Self-reported Life-Space Assessment (assessing community mobility), crashes and driving outcomes were also assessed. Using intention-to-treat analyses, we tested whether DDA (vs. control) effects on each outcome differed during follow-up using a study group by time interaction. Longitudinal outcomes were modeled using generalized linear mixed models, accounting for repeated measures, age, site, and baseline visit before vs. during COVID.

resultsWe enrolled 301 participants (age at enrollment: mean 77.1 (range 70-92) years; 51% identifying as female). During follow-up, the DDA group had less decisional conflict (p

conclusionsIn older drivers, the Healthwise® DDA reduced uncertainty and regret about driving decisions during longitudinal follow-up, without adversely affecting community mobility or crash risk. Use of DDAs in clinical and other settings may reduce the distress older adults often experience when making decisions about driving cessation.

Indexed as

Automobile DrivingDecision MakingDecision Support TechniquesEmotionsAccidents, TrafficAgedAged, 80 and overFemaleHumansMaledecision aiddecision makingdrivingmotor vehiclerandomized trial

Identifiers

PMID39630631
PMCPMC12001976

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.