Evidence map›Paper›PMID 29802093›Full record

Trial reportJournal of medical Internet research2018

Computer-Based Driving in Dementia Decision Tool With Mail Support: Cluster Randomized Controlled Trial.

Mark J Rapoport, Carla Zucchero Sarracini, Alex Kiss, Linda Lee, Anna Byszewski, Dallas P Seitz, Brenda Vrkljan, Frank Molnar, Nathan Herrmann, David F Tang-Wai and 5 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02036099 (Driving in Mild Dementia Decision Tool), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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.

NCT02036099 nacompletednot on this map

Driving in Mild Dementia Decision Tool

TypeinterventionalSponsorSunnybrook Health Sciences CentreRan2014 to 2016Enrolled69ConditionsDementiaArmsDriving in Mild Dementia Decision Tool
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
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

15 authors at 6 institutions in 1 country.

Mark J RapoportDepartment of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0003-2670-1975
Carla Zucchero SarraciniDepartment of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0001-9056-4739
Alex KissDepartment of Research Design and Biostatistics, Sunnybrook Research Institute, Toronto, ON, Canada.ORCID 0000-0001-6309-4663
Linda LeeDepartment of Family Medicine, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-9774-9568
Anna ByszewskiDivision of Geriatric Medicine, The Ottawa Hospital, Ottawa, ON, Canada.ORCID 0000-0003-1339-6326
Dallas P SeitzSeniors Mental Health Program, Providence Care, Kingston, ON, Canada.ORCID 0000-0003-1274-6451
Brenda VrkljanSchool of Rehabilitation Science, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-9263-9933
Frank MolnarDivision of Geriatric Medicine, The Ottawa Hospital, Ottawa, ON, Canada.ORCID 0000-0001-5798-0159
Nathan HerrmannDepartment of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0001-9277-6110
David F Tang-WaiMemory Clinic, University Health Network, Toronto, ON, Canada.ORCID 0000-0001-9747-9967
Christopher FrankSpecialized Geriatric Services, Providence Care, Kingston, ON, Canada.ORCID 0000-0002-1264-4036
Blair HenryClinical Ethics Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0002-1073-9592
Nicholas PimlottDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-6778-2567
Mario MasellisDepartment of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0002-6244-2096
Gary NaglieDepartment of Medicine, Baycrest Health Sciences, Toronto, ON, Canada.ORCID 0000-0002-6274-0894
Sunnybrook Health Science Centre · CAUniversity of Toronto · CAMcMaster University · CAProvidence Health Care · CAUniversity of Ottawa · CAUniversity Health Network · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundPhysicians often find significant challenges in assessing automobile driving in persons with mild cognitive impairment and mild dementia and deciding when to report to transportation administrators. Care must be taken to balance the safety of patients and other road users with potential negative effects of issuing such reports.

objectiveThe aim of this study was to assess whether a computer-based Driving in Dementia Decision Tool (DD-DT) increased appropriate reporting of patients with mild dementia or mild cognitive impairment to transportation administrators.

methodsThe study used a parallel-group cluster nonblinded randomized controlled trial design to test a multifaceted knowledge translation intervention. The intervention included a computer-based decision support system activated by the physician-user, which provides a recommendation about whether to report patients with mild dementia or mild cognitive impairment to transportation administrators, based on an algorithm derived from earlier work. The intervention also included a mailed educational package and Web-based specialized reporting forms. Specialists and family physicians with expertise in dementia or care of the elderly were stratified by sex and randomized to either use the DD-DT or a control version of the tool that required identical data input as the intervention group, but instead generated a generic reminder about the reporting legislation in Ontario, Canada. The trial ran from September 9, 2014 to January 29, 2016, and the primary outcome was the number of reports made to the transportation administrators concordant with the algorithm.

resultsA total of 69 participating physicians were randomized, and 36 of these used the DD-DT; 20 of the 35 randomized to the intervention group used DD-DT with 114 patients, and 16 of the 34 randomized to the control group used it with 103 patients. The proportion of all assessed patients reported to the transportation administrators concordant with recommendation did not differ between the intervention and the control groups (50% vs 49%; Z=-0.19, P=.85). Two variables predicted algorithm-based reporting-caregiver concern (odds ratio [OR]=5.8, 95% CI 2.5-13.6, P<.001) and abnormal clock drawing (OR 6.1, 95% CI 3.1-11.8, P<.001).

conclusionsOn the basis of this quantitative analysis, in-office abnormal clock drawing and expressions of concern about driving from caregivers substantially influenced physicians to report patients with mild dementia or mild cognitive impairment to transportation administrators, but the DD-DT tool itself did not increase such reports among these expert physicians.

trial registrationClinicalTrials.gov NCT02036099; https://clinicaltrials.gov/ct2/show/NCT02036099 (Archived by WebCite at http://www.webcitation.org/6zGMF1ky8).

Indexed as

AgedAutomobile DrivingCognitive DysfunctionComputersDecision MakingDementiaFemaleHumansMaleautomobile drivingdecision support systems, clinicaldementiamild cognitive impairment

Identifiers

PMID29802093
PMCPMC5993977
OpenAlexW2804507341

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.