使用触摸屏“安全驾驶感知驾驶”预测医学上有风险的驾驶员的驾驶适宜性。

Predicting Fitness to Drive for Medically At-Risk Drivers Using Touchscreen DriveSafe DriveAware.

作者信息

Cheal Beth, Bundy Anita, Patomella Ann-Helen, Kuang Haijiang, Scanlan Justin Newton

机构信息

Beth Cheal, PhD, is Lecturer, Occupational Therapy Program, School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia. At the time of the research, Cheal was PhD Student, Occupational Therapy, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia;

Anita Bundy, ScD, is Professor and Head, Department of Occupational Therapy, Colorado State University, Fort Collins, Colorado, and Honorary Professor, Occupational Therapy, Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.

出版信息

Am J Occup Ther. 2023 Jan 1;77(1). doi: 10.5014/ajot.2023.050048.

DOI:10.5014/ajot.2023.050048

PMID:36716210

Abstract

IMPORTANCE

Occupational therapists require valid cognitive fitness-to-drive tools to advise drivers in this high-stakes area.

OBJECTIVE

To examine the psychometric properties and predictive validity of data gathered with the touchscreen DriveSafe DriveAware (DSDA).

DESIGN

Prospective study that compared a screening tool with a criterion standard.

SETTING

Ten community- and hospital-based driver assessment clinics in Australia and New Zealand.

PARTICIPANTS

Older and cognitively impaired drivers (N = 134) ages 18 to 91 years (Mage= 68) who were referred for an assessment to determine the impact of a medical condition on driving. The inclusion criteria were a valid driver's license, vision within license authority guidelines, completion of at least 1 year of high school, and English as a first language.

OUTCOMES AND MEASURES

The results of the touchscreen DSDA, a standardized assessment of awareness of the driving environment and one's own driving abilities, were compared with those of a standardized occupational therapist-administered on-road assessment.

RESULTS

Rasch analysis provided evidence for the construct validity and internal reliability of data gathered with the touchscreen DSDA. Optimal upper and lower cutoff scores were set to trichotomize drivers into three categories: likely to pass an on-road assessment, likely to fail an on-road assessment, and further testing required. Specificity of the touchscreen DSDA was 86%, and sensitivity was 91%; positive predictive value was 83%, negative predictive value was 92%, and overall accuracy of classification was 88%.

CONCLUSIONS AND RELEVANCE

Evidence supports the utility of the touchscreen DSDA for accurately predicting which participants require on-road assessment. What This Article Adds: The touchscreen DSDA is a promising screen for occupational therapists and other health professionals to use in conjunction with other clinical indicators to determine whether drivers require further assessment.

摘要