Hostname: page-component-76fb5796d-25wd4 Total loading time: 0 Render date: 2024-04-26T09:43:05.763Z Has data issue: false hasContentIssue false

CIHR Candrive Cohort Comparison with Canadian Household Population Holding Valid Driver’s Licenses

Published online by Cambridge University Press:  03 June 2016

Sylvain Gagnon*
Affiliation:
School of Psychology, University of Ottawa
Shawn Marshall
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa
Yara Kadulina
Affiliation:
School of Psychology, University of Ottawa
Arne Stinchcombe
Affiliation:
School of Psychology, University of Ottawa
Michel Bédard
Affiliation:
Centre for Research on Safe Driving, Lakehead University
Isabelle Gélinas
Affiliation:
School of Physical & Occupational Therapy, McGill University
Malcolm Man-Son-Hing
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa
Barbara Mazer
Affiliation:
School of Physical & Occupational Therapy, McGill University
Gary Naglie
Affiliation:
Research Department, Toronto Rehabilitation Institute University Health Network Department of Medicine and Rotman Research Institute, Baycrest Geriatric Health Care Centre Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto
Michelle M. Porter
Affiliation:
Faculty of Kinesiology and Recreation Management, University of Manitoba
Mark Rapoport
Affiliation:
Department of Psychiatry, University of Toronto
Holly Tuokko
Affiliation:
Centre on Aging, University of Victoria
Brenda Vrkljan
Affiliation:
School of Rehabilitation Science, McMaster University
*
La correspondance et les demandes de tirés-à-part doivent être adressées à: / Correspondence and requests for offprints should be sent to: Sylvain Gagnon, Ph.D. School of Psychology, University of Ottawa Cognitive Aging and Driving Laboratory 136 Jean Jacques Lussier Vanier Hall (3042) Ottawa, ON K1N 6N5 (sgagnon@uottawa.ca)

Abstract

We investigated whether convenience sampling is a suitable method to generate a sample of older drivers representative of the older-Canadian driver population. Using equivalence testing, we compared a large convenience sample of older drivers (Candrive II prospective cohort study) to a similarly aged population of older Canadian drivers. The Candrive sample consists of 928 community-dwelling older drivers from seven metropolitan areas of Canada. The population data was obtained from the Canadian Community Health Survey – Healthy Aging (CCHS-HA), which is a representative sample of older Canadians. The data for drivers aged 70 and older were extracted from the CCHS-HA database, for a total of 3,899 older Canadian drivers. Two samples were demonstrated as equivalent on socio-demographic, health, and driving variables that we compared, but not on driving frequency. We conclude that convenience sampling used in the Candrive study created a fairly representative sample of Canadian older drivers, with a few exceptions.

Résumé

Nous avons examiné si l’échantillonnage de commodité est une méthode appropriée pour recruter un échantillon de conducteurs âgés représentatif de la population des conducteurs canadiens âgés. En utilisant des tests d’équivalence, nous avons comparé un grand échantillon de commodité de conducteurs âgés (de la cohorte Candrive II) à une population de conducteurs canadiens d’âges similaires. L’échantillon Candrive est constitué de 928 conducteurs âgés habitant dans l’une de sept régions métropolitaines du Canada. Les données démographiques relatives à la population canadienne ont été obtenues à partir de l’Enquête sur la santé dans les collectivités canadiennes – Vieillissement en santé (ESCC-VS), basé sur un échantillon représentatif de Canadiens âgés. Les données pour les conducteurs âgés de 70 ans et plus ont été extraites de la base de données de l’ESCC-VS, pour un total de 3,899 conducteurs canadiens âgés. Les deux échantillons que nous avons comparés se sont avérés équivalents en ce qui a trait aux variables socio-démographiques, relatives à la santé et à la conduite à l’exception de la fréquence d’utilisation de la voiture. Nous concluons qu’en dépit de quelques différences, l’échantillonnage de commodité utilisé dans l’étude Candrive a créé un échantillon suffisamment représentatif des conducteurs âgés au Canada.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ball, K. K., Roenker, D. L., Wadley, V. G., Edwards, J. D., Roth, D. L., McGwin, , et al. (2006). Can high-risk older drivers be identified through performance-based measures in a department of motor vehicles settings? Journal of the American Geriatrics Society, 54, 7784.Google Scholar
Bédard, M., Marshall, S., Man-Son-Hing, M., Weaver, B., Gélinas, I., Korner-Bitensky, N., et al. (2013). It is premature to test older drivers with the SIMARD-MD. Accident Analysis and Prevention, 61, 317321.Google Scholar
Cochran, W. G. (1951). Modern methods in the sampling of human populations – General principles in the selection of a sample. American Journal of Public Health, 41, 647–643.Google Scholar
Cochran, W. G., Mosteller, F., & Tukey, J. W. (1954). Principles of sampling. Journal of the American Statistical Association, 49, 1335.Google Scholar
Cribbie, R. A., Gruman, J. A., & Arpin-Cribbie, C. A. (2004). Recommendations for applying tests of equivalence. Journal of Clinical Psychology, 601, 110.Google Scholar
Dobbs, B., & Schopflocher, D. (2010). The introduction of a new screening tool for the identification of cognitively impaired medically at-risk drivers: The SIMARD a modification of the Dem Tect. Journal of Primary Care and Community Health, 1, 119127.CrossRefGoogle Scholar
Emerson, J. L., Johnson, A. M., Dawson, J. D., Uc, E. Y., Anderson, S. W., & Rizzo, M. (2012). Predictors of driving outcomes in advancing age. Psychology and Aging, 27, 550559.CrossRefGoogle ScholarPubMed
Fillenbaum, G. G., & Smyer, M. A. (1981). The development, validity, and reliability of the OARS multidimensional functional assessment questionnaire. Journal of Gerontology, 36, 428434.Google Scholar
Kay, L. G., Bundy, A. C., Clemson, L., Cheal, B., & Glendenning, T. (2012). Contribution of off-road tests to predicting on-road performance: A critical review of tests. Australian Occupational Therapy Journal, 59, 8997.Google Scholar
Marshall, M. N. (1996). Sampling for qualitative research. Family Practice, 13, 522526.Google Scholar
Marshall, S., Man-Son-Hing, M., Bédard, M., Charlton, J. L., Gagnon, S., Gélinas, I., et al. (2013). Protocol for Candrive II/Ozcandrive, a multicentre prospective older driver cohort study. Accident Analysis, and Prevention, 61, 245252.Google Scholar
Nourhashémi, F., Andrieu, S., Gillette-Guyonnet, S., Vellas, B., Albarède, J. L., & Grandjean, H. (2001). Instrumental activities of daily living as a potential marker of frailty: A study of 7364 community-dwelling elderly women (the EPIDOS Study). The Journals of Gerontology, 56, M448M453.Google Scholar
O’Connor, M. G., Kapust, L. R., Lin, B. X., Hollis, A. M., & Jones, R. N. (2010). The 4Cs (crash history, family concerns, clinical condition, and cognitive functions): A screening tool for the evaluation of the at-risk driver. Journal of the American Geriatrics Society, 58(6), 11041108.Google Scholar
Razani, J., Casas, R., Wong, J. T., Lu, P., Alessi, C., & Josephson, K. (2007). The relationship between executive functioning and activities of daily living in patients with relatively mild dementia. Applied Neuropsychology, 14, 208214.Google Scholar
Rogers, J. L., Howard, K. I., & Vessey, J. T. (1993). Using significance tests to evaluate equivalence between two experimental groups. Psychological Bulletin, 113, 553565.CrossRefGoogle ScholarPubMed
Schuirmann, D. J. (1987). A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. Journal of Pharmacokinetics and Biopharmaceutics, 15, 657680.Google Scholar
Seaman, M. A., & Serlin, R. C. (1998). Equivalence confidence intervals for two-group comparisons of means. Psychological. Methods, 3, 403411.Google Scholar
Sheikh, J. I., & Yesavage, J. A. (1986). Geriatric depression scale GDS: Recent evidence and development of a shorter version. In Brink, T. L. (Ed.), Clinical gerontology: A guide to assessment and intervention (pp. 165173). New York, NY: Haworth.Google Scholar
Staplin, L., Lococo, K., Gish, K., & Decina, L. (2003). Model driver screening and evaluation program final technical report (Vol. 2). Maryland Pilot Older Driver Study Report No. DOT HS 809 583. Washington, DC: National Highway Traffic Safety Administration.Google Scholar
Statistics Canada. (2008). Canadian Community Health Survey – Healthy Aging (CCHS-HA) 2008/2009, User Guide. Ottawa, ON: Author. Retrieved from http://www.statcan.gc.ca/imdb-bmdi/5146-eng.htm Google Scholar
Tomaszewski, F. S., Cahn-Weiner, D. A., Harvey, D. J., Reed, B. R., Mungas, D., Kramer, J. H., et al. (2009). Longitudinal changes in memory and executive functioning are associated with longitudinal change in instrumental activities of daily living in older adults. The Clinical Neuropsychologist, 23, 446461.Google Scholar
Turcotte, M. (2012). Profile of seniors’ transportation habits . Ottawa, ON: Statistics Canada. Retrieved from http://www.statcan.gc.ca/pub/11-008-x/2012001/article/11619-eng.pdf Google Scholar
Wellek, S. (2010). Testing Statistical Hypotheses of Equivalence and Noninferiority. Boca Raton, FL: CRC Press.Google Scholar
Wood, J. M., Anstey, K. J., Kerr, G. K., Lacherez, P. F., & Lord, S. (2008). A multidomain approach for predicting older driver safety under in-traffic road conditions. Journal of the American Geriatrics Society, 56, 986993.CrossRefGoogle ScholarPubMed