Development of a Theoretically Grounded, Web-Based Intervention to Reduce Adolescent Driver Inattention

McDonald, Catherine C.; Brawner, Bridgette M.; Fargo, Jamison D.; Swope, Jennifer; Sommers, Marilyn S.

doi:10.1177/1059840517711157

Cited by 10 publications

(9 citation statements)

References 42 publications

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“…Age matters here. Results indicate that the riskiness of complaint of injury crashes increases with age with wide margins from the least risk young drivers (15)(16)(17)(18)(19)(20)(21)(22)(23)(24), to mid-age (25-54) drivers, to riskier older drivers (55 or older). This is consistent with the fragility noted in human beings because of age (33).…”

Section: Estimation Results Of Multinomial Logistic Baseline Modelsmentioning

confidence: 98%

“…The risk level changes based on age because young drivers and old drivers are riskier compared with midage drivers. Interestingly, evidence suggests that being a young driver (15)(16)(17)(18)(19)(20)(21)(22)(23)(24) increases the odds of moderate injury accidents. Mid-age drivers are the least risky group in moderate injury whereas older drivers (55 or older) are vulnerable in this type of traffic injury.…”

Section: Estimation Results Of Multinomial Logistic Baseline Modelsmentioning

confidence: 99%

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Examining Prominent Causes of Traffic Injury Severity in Louisiana with Multinomial Logistic Models

Lukongo

2020

Transportation Research Record: Journal of the Transportation R

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Accidents rank third among the top 10 leading causes of death in Louisiana, claiming more than 2,000 lives out of a total of almost 33,000 deaths. Drivers’ characteristics (age and gender), the geometry of the roadways, driving on the major roadways, the day of the week, and the wet or dry condition or the road have been associated with crash severity. This study applies unordered multinomial logistic models to investigate causes leading to crash severity in Louisiana. Several models were estimated and the best results were retained for presentation and discussion. Consistent with previous research, findings suggest that drivers’ gender and age matter for traffic safety. Individually, male and older drivers are too risky. Major roads, weekdays, dry surfaces, and road geometry increase the risk of fatal accidents. Male drivers are prone to severe and fatal accidents while old drivers are vulnerable to all types of accidents. Young drivers and female drivers feature among cases of injury and moderate accidents. Evidence suggests that crash severity is not ethnicity specific, contrary to some studies. This study is relevant because it builds a new dataset for safety research, identifies risk factors, and informs the aim of public safety policy to reduce loss of life, injuries, and costs resulting from motor vehicle accidents.

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Section: Estimation Results Of Multinomial Logistic Baseline Modelsmentioning

confidence: 98%

Section: Estimation Results Of Multinomial Logistic Baseline Modelsmentioning

confidence: 99%

Examining Prominent Causes of Traffic Injury Severity in Louisiana with Multinomial Logistic Models

Lukongo

2020

Transportation Research Record: Journal of the Transportation R

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“…Further, the development of cell phone interventions may be useful for individuals caught repeatedly violating laws prohibiting texting and driving. The theory of planned behavior has previously been employed to better understand cell phone use [43][44][45][46]. However, these have been cross-sectional [43][44][45] or have not yet reported the randomized findings [46].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a Brief Intervention to Reduce Cell Phone Use

Piper¹,

Daily²,

Martin³

et al. 2020

Preprint

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Excessive cell phone use contributes to distracted driving, may increase risk for automobile accidents, and a minority of mobile phone users exhibit behaviors consistent with technological addiction. The purpose of this study was to determine whether cell phone beliefs and behaviors could be changed by a brief educational encounter. The Theory of Reasoned Action provided a lens for viewing attitudes and behavior. A one-week pre-post design with a thirty-day follow-up was used with participants (N = 215, 67.0% female, age = 20.0 + 1.6) assigned to a peer led intervention or comparison groups. The intervention included cell-phone educational materials. A short index of cell phone behavior was developed which showed good internal consistency with a Cronbach’s alpha of .81. The intervention group “agreed” or “strongly-agreed” more than the comparison group on five of the seven areas of cell phone beliefs and behaviors ( p < 0.05, item Cohen’s d = .32 to .47, total d = .50) at one-week following receipt of informational materials. We conclude that attitudes and behaviors regarding cell phones are malleable and susceptible to change in young-adults following a brief psychoeducational intervention.

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“…In my research of addressing the "What," the Theory of Planned Behavior (TPB) has provided a theoretical basis for intervention development and attempts at behavior change, targeting the attitudes, perceived behavioral control, and norms about adolescent driver inattention (Ajzen, 1991(Ajzen, , 2019McDonald, Brawner, Fargo, Swope, & Sommers, 2018). Using TPB with adolescent driver inattention draws from the nursing and health literature in behavior change relevant to adolescent health.…”

Section: Who What Where and When Of Sensor Technology In Adolescent Driving Behaviormentioning

confidence: 99%

Use of theory to guide development and application of sensor technologies in Nursing

2020

Self Cite

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Sensor technologies for health care, research, and consumers have expanded and evolved rapidly. Many technologies developed in commercial or engineering spaces, lack theoretical grounding and scientific evidence to support their need, safety, and efficacy. Theory is a mechanism for synthesizing and guiding knowledge generation for the discipline of nursing, including the design, implementation, and evaluation of sensors and related technologies such as artificial intelligence and machine learning. In this paper, three nurse scientists summarize their presentations at the Council for the Advancement of Nursing Science 2019 Advanced Methods Conference on Expanding Science of Sensor Technology in Research discussing the theoretical underpinnings of sensor technologies development and use in nursing research and practice. Multiple theories with diverse epistemological roots guide decision-making about whether or not to apply sensors to a given use; development of, components of, and mechanisms by which sensor technologies are expected to work; and possible outcomes.

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Development of a Theoretically Grounded, Web-Based Intervention to Reduce Adolescent Driver Inattention

Cited by 10 publications

References 42 publications

Examining Prominent Causes of Traffic Injury Severity in Louisiana with Multinomial Logistic Models

Examining Prominent Causes of Traffic Injury Severity in Louisiana with Multinomial Logistic Models

Evaluation of a Brief Intervention to Reduce Cell Phone Use

Use of theory to guide development and application of sensor technologies in Nursing

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