Validity of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) Applicable to Community Health Convergence

Validity of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) Applicable to Community Health Convergence

초록

This study was conducted to test the assessment validity and examine the cut-off scores for driving risk as a part of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) development project. The 132 senior drivers were categorized as either risky of 58 or safe of 74 drivers through the Drivers 65 Plus. Based on this initial assessment, we analyzed the risk prediction cut-offs. Furthermore, we tested the construct, content, and predictive validity. The cut-off score for the prediction of driving risk was found to be 74.5 points. The positive predictive value was 88.6%, and the negative predictive value was 86.3% about the cut-off score, signifying an excellent level of discrimination. Convergent validity, nomological validity, and content validity were found to be appropriate. Therefore, this study confirms that SAFE-DR is an appropriate assessment that can be used to screen dangerous elderly drivers.

키워드

Senior drivers; Self-report assessment; Driving risk; Cut-off score; SAFE-DR; 노인 운전자; 자가 보고식 평가; 운전 위험성; 기준 점수
제목
Validity of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) Applicable to Community Health Convergence
제목 (타언어)
Validity of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) Applicable to Community Health Convergence
저자
최성열
DOI
10.22156/CS4SMB.2019.9.6.175
발행일
2019-06
유형
Y
저널명
융합정보논문지
권
9
호
6
페이지
175 ~ 182