Articles

The Standardization of the Korean Drivers 65 plus to Identify Driving Fitness of Senior Drivers


AUTHOR
한상우(Sang-Woo Han), 이재신(Jae-Shin Lee), 김수경(Soo-Kyoung Kim), 차태현(Tae-Hyun Cha), 유두한(Doo-Han Yoo), 김희(Hee Kim)
INFORMATION
page. 15~29 / No 1

e-ISSN
2671-4450
p-ISSN
1226-0134
Received
2018-01-30
Revised
2018-02-20
Accepted
2018-03-04
DOI
https://doi.org/https://doi.org/10.14519/jksot.2018.26.1.02
Fulltext

ABSTRACT

Objective: The purpose of this study is to standardize a Korean Drivers 65 plus by evaluating its reliability and validity. Methods: After completing the final translation through verification, to verify the tool’s reliability and validity, 218 senior drivers, aged 65 plus, were assessed through translated versions of Drivers 65 plus, K-DBQ and MoCA-K. Results: The translated version was completed after verification of translation and reverse translation, participant comprehensibility, and suitability; no questions were deleted or added. In reliability testing of the translated version of Drivers 65 plus, the internal reliability of the items was Cronbach’s α=0.575, and test-retest reliability was .95 by ICC. In the confirmatory factor analysis to verify construct validity, the model fit indices were as follows: NC=2.954, CFI=.806, TLI=.736, NFI=.742 and RMSEA=.095. K-Drivers 65 plus and K-DBQ had a significant positive correlation(r=.470, p<.01) while there was a significant negative correlation with MoCA-K(r=-.495, p<.01). When we tested the usefulness of the K-Drivers 65 plus to assess driving suitability in senior drivers, the AUC (.726) was confirmed to have normal accuracy in selecting suitability. K-Driver 65 plus distinguished those with a total score of 31 or more as Risk drivers and those with scores of less than 31 as Safe drivers. Conclusion: Although K-Drivers 65 did not show high reliability and validity in this study, it was proven to be an adequate self-assessment tool for two reasons: 1) it can be easily provided to a large number of elderly drivers and 2) it is possible to prevent accidents by predicting driving suitability based on the results.