18
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Submit your digital health research with an established publisher
      - celebrating 25 years of open access

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article
      , MD, FRCPC 1 , 2 , , , BA (Hons) 1 , , PhD 3 , 4 , , MD, MClSc(FM), CCFP(COE), FCFP 5 , , MEd, MD, FRCPC 6 , 7 , , MD, PhD, FRCPC 8 , 9 , , PhD, OT Reg (Ont) 10 , , MSc, MDCM, FRCPC 6 , 7 , , MD, FRCPC 1 , 2 , , MDCM, FRCPC 11 , 12 , , MD, FCFP 13 , 14 , , D Bioethics 15 , 16 , , MD, PhD, CCFP 16 , 17 , , MD, PhD, FRCPC 18 , 19 , , MD, FRCPC 20 , 21
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      dementia, mild cognitive impairment, automobile driving, decision support systems, clinical

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Physicians 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.

          Objective

          The 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.

          Methods

          The 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.

          Results

          A 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).

          Conclusions

          On 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 Registration

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

          Related collections

          Most cited references61

          • Record: found
          • Abstract: found
          • Article: not found

          The diagnosis and management of mild cognitive impairment: a clinical review.

          Cognitive decline is a common and feared aspect of aging. Mild cognitive impairment (MCI) is defined as the symptomatic predementia stage on the continuum of cognitive decline, characterized by objective impairment in cognition that is not severe enough to require help with usual activities of daily living.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Alzheimer disease in the US population: prevalence estimates using the 2000 census.

            Current and future estimates of Alzheimer disease (AD) are essential for public health planning. To provide prevalence estimates of AD for the US population from 2000 through 2050. Alzheimer disease incidence estimates from a population-based, biracial, urban study, using a stratified random sampling design, were converted to prevalence estimates and applied to US Census Bureau estimates of US population growth. A geographically defined community of 3 adjacent neighborhoods in Chicago, Ill, applied to the US population. Alzheimer disease incidence was measured in 3838 persons free of AD at baseline; 835 persons were evaluated for disease incidence. Main Outcome Measure Current and future estimates of prevalence of clinically diagnosed AD in the US population. In 2000, there were 4.5 million persons with AD in the US population. By 2050, this number will increase by almost 3-fold, to 13.2 million. Owing to the rapid growth of the oldest age groups of the US population, the number who are 85 years and older will more than quadruple to 8.0 million. The number who are 75 to 84 years old will double to 4.8 million, while the number who are 65 to 74 years old will remain fairly constant at 0.3 to 0.5 million. The number of persons with AD in the US population will continue to increase unless new discoveries facilitate prevention of the disease.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Risk factors for Alzheimer's disease: a prospective analysis from the Canadian Study of Health and Aging.

              J. Lindsay (2002)
              A prospective analysis of risk factors for Alzheimer's disease was a major objective of the Canadian Study of Health and Aging, a nationwide, population-based study. Of 6,434 eligible subjects aged 65 years or older in 1991, 4,615 were alive in 1996 and participated in the follow-up study. All participants were cognitively normal in 1991 when they completed a risk factor questionnaire. Their cognitive status was reassessed 5 years later by using a similar two-phase procedure, including a screening interview, followed by a clinical examination when indicated. The analysis included 194 Alzheimer's disease cases and 3,894 cognitively normal controls. Increasing age, fewer years of education, and the apolipoprotein E epsilon4 allele were significantly associated with increased risk of Alzheimer's disease. Use of nonsteroidal anti-inflammatory drugs, wine consumption, coffee consumption, and regular physical activity were associated with a reduced risk of Alzheimer's disease. No statistically significant association was found for family history of dementia, sex, history of depression, estrogen replacement therapy, head trauma, antiperspirant or antacid use, smoking, high blood pressure, heart disease, or stroke. The protective associations warrant further study. In particular, regular physical activity could be an important component of a preventive strategy against Alzheimer's disease and many other conditions.
                Bookmark

                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                May 2018
                25 May 2018
                : 20
                : 5
                : e194
                Affiliations
                [01] 1 Department of Psychiatry Sunnybrook Health Sciences Centre Toronto, ON Canada
                [02] 2 Department of Psychiatry University of Toronto Toronto, ON Canada
                [03] 3 Department of Research Design and Biostatistics Sunnybrook Research Institute Toronto, ON Canada
                [04] 4 Institute of Health Policy, Management and Evaluation University of Toronto Toronto, ON Canada
                [05] 5 Department of Family Medicine McMaster University Hamilton, ON Canada
                [06] 6 Division of Geriatric Medicine The Ottawa Hospital Ottawa, ON Canada
                [07] 7 Division of Geriatric Medicine University of Ottawa Ottawa, ON Canada
                [08] 8 Seniors Mental Health Program Providence Care Kingston, ON Canada
                [09] 9 Department of Psychiatry Queen's University Kingston, ON Canada
                [10] 10 School of Rehabilitation Science McMaster University Hamilton, ON Canada
                [11] 11 Memory Clinic University Health Network Toronto, ON Canada
                [12] 12 Division of Neurology Division of Geriatric Medicine University of Toronto Toronto, ON Canada
                [13] 13 Specialized Geriatric Services Providence Care Kingston, ON Canada
                [14] 14 Division of Geriatric Medicine Queen's University Kingston, ON Canada
                [15] 15 Clinical Ethics Centre Sunnybrook Health Sciences Centre Toronto, ON Canada
                [16] 16 Department of Family and Community Medicine University of Toronto Toronto, ON Canada
                [17] 17 Department of Family and Community Medicine Women's College Hospital Toronto, ON Canada
                [18] 18 Department of Medicine Sunnybrook Health Sciences Centre Toronto, ON Canada
                [19] 19 Division of Neurology University of Toronto Toronto, ON Canada
                [20] 20 Department of Medicine Baycrest Health Sciences Toronto, ON Canada
                [21] 21 Division of Geriatric Medicine University of Toronto Toronto, ON Canada
                Author notes
                Corresponding Author: Mark J Rapoport mark.rapoport@ 123456sunnybrook.ca
                Author information
                http://orcid.org/0000-0003-2670-1975
                http://orcid.org/0000-0001-9056-4739
                http://orcid.org/0000-0001-6309-4663
                http://orcid.org/0000-0001-9774-9568
                http://orcid.org/0000-0003-1339-6326
                http://orcid.org/0000-0003-1274-6451
                http://orcid.org/0000-0001-9263-9933
                http://orcid.org/0000-0001-5798-0159
                http://orcid.org/0000-0001-9277-6110
                http://orcid.org/0000-0001-9747-9967
                http://orcid.org/0000-0002-1264-4036
                http://orcid.org/0000-0002-1073-9592
                http://orcid.org/0000-0002-6778-2567
                http://orcid.org/0000-0002-6244-2096
                http://orcid.org/0000-0002-6274-0894
                Article
                v20i5e194
                10.2196/jmir.9126
                5993977
                29802093
                5db66b88-f51b-47ab-b904-c6ca24318a8f
                ©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, Christopher Frank, Blair Henry, Nicholas Pimlott, Mario Masellis, Gary Naglie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.05.2018.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 16 October 2017
                : 21 November 2017
                : 10 January 2018
                : 8 March 2018
                Categories
                Original Paper
                Original Paper

                Medicine
                dementia,mild cognitive impairment,automobile driving,decision support systems, clinical

                Comments

                Comment on this article