Journal of Convergence for Information Technology (융합정보논문지)

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

지역사회 보건 융합에 활용 가능한 노인 운전자용 자가-보고식평가(SAFE-DR)의 타당도 연구

  • Choi, Seong-Youl (Department of Occupational Therapy, Kwangju Women's University)
  • 최성열 (광주여자대학교 작업치료학과)
  • Received : 2019.05.03
  • Accepted : 2019.06.20
  • Published : 2019.06.28
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Abstract

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.

본 연구는 노인운전자용 자가 보고식 평가 SAFE-DR 개발 프로젝트의 일환으로 운전위험성 선별을 위한 기준점수를 확인하고 평가의 타당성을 검증하기 위해 수행되었다. Driver 65 Plus평가를 통해 노인운전자 132명을 58명의 위험성 운전자와 74명의 안전성 운전자로 구분하고, 이를 기준으로 SAFE-DR 평가의 위험성 예측 기준을 분석하였다. 또한 SAFE-DR 평가의 구성 타당도, 내용 타당도, 예측 타당도를 검증하였다. SAFE-DR 평가의 운전위험성 예측을 위한 기준점수는 74.5점으로 분석되었으며, 이 기준의 양성 예측도는 88.6%, 음성 예측도는 86.3%로 판별력은 훌륭한(excellent) 수준으로 확인되었다. 또한 집중타당성, 법칙타당성, 내용타당성이 적절한 것으로 판정되었다. 따라서 본 연구를 통해 SAFE-DR은 위험한 노인운전자를 선별하는 용도로 활용할 수 있는 적절한 평가임을 확인하였다.

Keywords

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Fig. 1. ROC curve of SAFE-DR

Table 1. Correlation between Drivers 65 Plus and SAFE-DR

JKOHBZ_2019_v9n6_175_t0001.png 이미지

Table 2. Factor matrix and reliability of SAFE-DR subscales

JKOHBZ_2019_v9n6_175_t0002.png 이미지

Table 3. Predictive validity of SAFE-DR

JKOHBZ_2019_v9n6_175_t0003.png 이미지

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