Test-retest reliability of the driving habits questionnaire in older self-driving adults

Song, Chiang-Soon; Chun, Byung-Yoon; Chung, Hyun Soo

doi:10.1589/jpts.27.3597

Cited by 24 publications

(14 citation statements)

References 8 publications

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“…The driving habits questionnaire (DHQ) [13] is also interviewer-administered. It addresses six domains: current driving status and driving practices (seatbelt use, driving speed, selfassessment of quality of driving); driving exposure (average number of days driven per week, where the participant drives); dependence on other drivers (with whom the subject usually travels in a car); driving difficulty (how the subject drives in different driving situations); driving space (distance the subject typically drives); and self-reported accidents.…”

Section: C) Driving Habits Questionnaire (Dhq)mentioning

confidence: 99%

“…It addresses six domains: current driving status and driving practices (seatbelt use, driving speed, selfassessment of quality of driving); driving exposure (average number of days driven per week, where the participant drives); dependence on other drivers (with whom the subject usually travels in a car); driving difficulty (how the subject drives in different driving situations); driving space (distance the subject typically drives); and self-reported accidents. [13] The DHQ"s results are examined separately and cannot be used as a total score. The questionnaire"s test-retest reliability is high [13] and it has been validated in previous studies investigating the driving habits of patients with chronic disease.…”

Section: C) Driving Habits Questionnaire (Dhq)mentioning

confidence: 99%

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Driving Habits and Reaction Times on a Driving Simulation in Older Drivers With Chronic Heart Failure

Pan

Pellicori

Walklett

et al. 2020

Journal of Cardiac Failure

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Background: Judgement and reaction times during complex tasks like driving may be impaired in older adults with chronic heart failure (HF).Objectives: This study sought to report the driving habits and reaction times of older patients with HF in a specially designed urban driving simulation. Methods:We conducted a prospective observational study in HF patients and controls.Patients in both groups underwent cognitive testing and screening for depression. Current drivers undertook questionnaire regarding driving habits followed by an urban road driving simulation consisting of three laps. Five separate hazards appeared in the third lap without warning. Reaction times and stopping distances to the hazards were calculated. Results: Of 247 patients with HF approached for the study, 124 had already voluntarily stopped driving due to HF (n=92) or other medical conditions (n=32), 60 had never had a license, and 32 declined to participate. Of the 74 controls approached, 1 was not currently driving due to a medical condition, and 46 declined to participate. Patients in both groups had similar levels of cognitive function, mood and driving habits. 30 patients with HF [mean (SD) age 74 (±5) years, median (IQR) NT-proBNP 1510 (546-3084) pg/L] and 26 controls [mean age 73 (±5) years, median NT-proBNP 135 (73-182) pg/L] completed the simulation. During lap 3, there was no difference in the driving speed between patients (mean 22.0 SD 4.5 mph) and controls (mean 21.7 SD3.3 mph; p=0.80). Patients had longer reaction times [median 1.10 (IQR 0.98-1.30) seconds) than controls [median 0.96 (IQR 0.83-1.10) seconds, p=0.02], but there was no difference in stopping distances [patients: median 43.9 (IQR 32.2-49.5) metres; controls: median 38.1 (IQR 32.3-48.8) metres, p=0.31)].

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Section: C) Driving Habits Questionnaire (Dhq)mentioning

confidence: 99%

Section: C) Driving Habits Questionnaire (Dhq)mentioning

confidence: 99%

Driving Habits and Reaction Times on a Driving Simulation in Older Drivers With Chronic Heart Failure

Pan

Pellicori

Walklett

et al. 2020

Journal of Cardiac Failure

View full text Add to dashboard Cite

show abstract

“…These drivers tend to drastically reduce the amount that they drive, since many are retired and have a limited range of everyday and economic activities. Additionally, drivers’ abilities are affected by their normal aging as well as geriatric diseases, such as declines in visual function, attention and processing speed, physical movement, and visual perception, along with cognitive disabilities, diabetes mellitus and cardiovascular diseases1 ) . Therefore, it is necessary to be able to accurately assess driving abilities and to retrain older individuals in order to reduce the risk of motor vehicle collisions.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity and specificity of the safe driving behavior measure and the driving habits questionnaire for older self-drivers

2016

Self Cite

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[Purpose] To evaluate the sensitivity and specificity of the Safe Driving Behavior Measure and the Driving Habits Questionnaire in community-dwelling older self-drivers. [Subjects and Methods] Forty-five older participated in this study, to measure the Safe Driving Behavior Measure and the Driving Habits Questionnaire. Sensitivity and specificity were calculated along with cut-off values and overall accuracy of each measure as determined by the participants operating characteristic curve and the area under the curve. Multivariate logistic regression analysis was employed to identify predictors of driving abilities. [Results] The sensitivities were 0.538 for Safe Driving Behavior Measure, and 0.577, 0.423, and 0.615 for the difficulty, crash and citations, and driving space on domains of the Driving Habits Questionnaire, respectively. The specificities of the person-vehicle domain, person-environment domain, and person-vehicle-environment domain of the Safe Driving Behavior Measure were 0.474, 0.526, and 0.421, respectively, while the Driving Habits Questionnaire domains, the specificities of difficulty, crash and citations, and driving space were 0.526, 0.211, and 0.421, respectively. [Conclusion] The results of this study suggest that factors related to the accident history of older self-drivers were not well-explained, although the Safe Driving Behavior Measure and Driving Habits Questionnaire domains have the potential to determine driving-related accident history.

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“…Declines in driving performance are associated with a reduction in functional activities, visuoperceptual abilities, and physiological function in older adults, and the number of deaths caused by traffic accidents increases with age 1 ) . Even though the overall number of traffic accidents has continued to decrease, the accident risk of elderly drivers has been increasing, becoming a serious social problem 2 ) .…”

Section: Introductionmentioning

confidence: 99%

“…Driving is a complex task that requires various underlying elements, such as motor and sensory functions, attention, consciousness, cognitive activities, decision making and vehicle control 1 , 4 ) . Older adults display deteriorations in underlying elements such as strength, coordination, flexibility, attention, memory, decision making, and judgment due to normal aging processes which result in unsafe driving.…”

Section: Introductionmentioning

confidence: 99%

Test-retest reliability of the safe driving behavior measure for community-dwelling elderly drivers

2016

Self Cite

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[Purpose] The Safe Driving Behavior Measure (SDBM) is a self-report measurement tools that assesses the safe-driving behaviors of the elderly. The purpose of this study was to evaluate the test-retest reliability of the SDBM among community-dwelling elderly drivers. [Subjects and Methods] A total of sixty-one community-dwelling elderly were enrolled to investigate the reliability of the SDBM. The SDBM was assessed in two sessions that were conducted three days apart in a quiet and well-organized assessment room. That test-retest reliability of overall scores and three domain scores of the SDBM were statistically evaluated using intraclass correlation coefficients [ICC (2.1)]. Pearson correlation coefficients were used to quantify bivariate associations among the three domains of the SDBM. [Results] The SDBM demonstrated excellent rest-retest reliability for community-dwelling elderly drivers. The Cronbach alpha coefficients of the three domains of person-vehicle (0.979), person-environment (0.944), and person-vehicle-environment (0.971) of the SDBM indicate high internal consistency. [Conclusion] The results of this study suggest that the SDBM is a reliable measure for evaluating the safe- driving of automobiles by community-dwelling elderly, and is adequate for detecting changes in scores in clinical settings.

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Test-retest reliability of the driving habits questionnaire in older self-driving adults

Cited by 24 publications

References 8 publications

Driving Habits and Reaction Times on a Driving Simulation in Older Drivers With Chronic Heart Failure

Driving Habits and Reaction Times on a Driving Simulation in Older Drivers With Chronic Heart Failure

Sensitivity and specificity of the safe driving behavior measure and the driving habits questionnaire for older self-drivers

Test-retest reliability of the safe driving behavior measure for community-dwelling elderly drivers

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