A comparison of information on motor vehicle crashes as reported by written or telephone interviews

Alonso, Álvaro; Łaguna, Stanisław; Seguí-Gómez, María

doi:10.1136/ip.2005.009134

Cited by 9 publications

(10 citation statements)

References 16 publications

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“…Our repeatability findings on MVC are slightly lower, but consistent with those previously reported by us (Alonso, Laguna, & Seguı´-Go´mez, 2006) in a study where a subset of participants of the SUN cohort were assessed using a telephone interview. In this previously published study, we only included cases followed up for 2 years.…”

Section: Discussionsupporting

confidence: 92%

“…Yet, there are few studies assessing the reliability of self-reported information in motor vehicle-related injuries (Arthur et al, 2005;Begg, Langley, & Williams, 1999;Koziol-McLain, Brand, Morgan, Leff, & Lowenstein, 2000;Norrish, North, Kirkman, & Jackson, 1994), including our previously published reliability study on the question in the written survey regarding motor vehicle crash injuries with telephone interviews (Alonso, Laguna, & Seguı´-Go´mez, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of self-reported motor-vehicle crash and related work leave in a multi-purpose prospective cohort

Pons-Villanueva

Seguí-Gómez

2010

International Journal of Injury Control and Safety Promotion

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Validation studies about self-reported motor vehicle crashes and related work leave are scarce. The Seguimiento Universidad de Navarra (SUN) is a multi-purpose cohort study undertaken in Spain. Motor vehicle crash risk factors are assessed within it. The objective of this study was to validate the incidents of self-reported motor vehicle crashes (MVC) and related work leave through mailing and clinical notes' review. The method included questions in the cohort's questionnaire regarding motor vehicle crash incident and work leave. We made both a re-test and a criterion validity study for self-reported answers. The results show a moderate κ Cohen's correlation coefficient for both events. Re-test reliability κ for MVC was 0.55, for MVC-related work leave it was 0.53. Criterion validity κ was 0.25 for MVC and 0.25 for MVC-related work leave. These results show a moderate agreement for re-test both for MVC and work MVC-related leave. For criterion validity, the results show a fair agreement. The magnitude of the agreement is similar to other similar studies and allows the use of these data in epidemiological studies.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Validation of self-reported motor-vehicle crash and related work leave in a multi-purpose prospective cohort

Pons-Villanueva

Seguí-Gómez

2010

International Journal of Injury Control and Safety Promotion

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“…Recall of an event such as a neck injury in an MVC is likely high. Three studies examined the test‐retest reliability of self‐reported questions on the history of injury in an MVC, reporting moderate to substantial reliability (0.55 ≤ k ≤ 0.80) . Further, in a study by Begg et al participants were able to recall injuries 3 years earlier compared to a health system database and police traffic crash records: 86% (95% CI 68%‐96%) for unintentional injury; 100% for the type of car involved; 84% for number of years since the crash .…”

Section: Discussionmentioning

confidence: 99%

Exposure to a Motor Vehicle Collision and the Risk of Future Neck Pain: A Systematic Review and Meta‐Analysis

Nolet

Emary

Kristman

et al. 2019

PM&R

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ObjectiveTo summarize the literature that has examined the association between a motor vehicle collision (MVC) related neck injury and future neck pain (NP) in comparison with the population that has not been exposed to neck injury from an MVC.Literature SurveyNeck injury resulting from an MVC is associated with a high rate of chronicity. Prognosis studies indicate 50% of injured people continue to experience NP a year after the collision. This is difficult to interpret due to the high prevalence of NP in the general population.MethodologyWe performed a systematic review of the literature using five electronic databases, searching for risk studies on exposure to an MVC and future NP published from 1998 to 2018. The outcome of interest was future NP. Eligible risk studies were critically appraised using the modified Quality in Prognosis Studies (QUIPS) instrument. The results were summarized using best‐evidence synthesis principles, a random effects meta‐analysis, metaregression, and testing for publication bias was performed with the pooled data.SynthesisEight articles were identified of which seven were of lower risk of bias. Six studies reported a positive association between a neck injury in an MVC and future NP compared to those without a neck injury in an MVC. Pooled analysis of the six studies indicated an unadjusted relative risk of future NP in the MVC exposed population with neck injury of 2.3 (95% CI [1.8, 3.1]), which equates to a 57% attributable risk under the exposed. In two studies where exposed participants were either not injured or injury status was unknown, there was no increased risk of future NP.ConclusionsThere was a consistent positive association among studies that have examined the association between MVC‐related neck injury and future NP. These findings are of potential interest to clinicians, insurers, patients, governmental agencies, and the courts.Level of EvidenceI.

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“…Chapman and Underwood (2000) found that crash severity and culpability influenced capacity to recall crashes. In their repeated measures study of self-reported road injuries, Alonso, Laguna and Seguí-Gomez (2006) found that while self-reporting was fairly reliable within the study sample, discrepancies increased over time. However 14% of respondents who initially reported sustaining minor injuries as a result of a road crash did not indicate in a follow-up survey that this had occurred (Alonso et al, 2006).…”

Section: Memory Effectsmentioning

confidence: 99%

“…In their repeated measures study of self-reported road injuries, Alonso, Laguna and Seguí-Gomez (2006) found that while self-reporting was fairly reliable within the study sample, discrepancies increased over time. However 14% of respondents who initially reported sustaining minor injuries as a result of a road crash did not indicate in a follow-up survey that this had occurred (Alonso et al, 2006). A more recent repeated measures study (Freeman, af Wåhlberg, Watson, Barraclough, & McMaster; found that at least 47% of participants were confirmed as reporting inaccuracies in relation to their total crashes in the past three years at either Time 1 or Time 2.…”

Section: Memory Effectsmentioning

confidence: 99%

Common method variance and other sources of bias in road traffic research

Barraclough¹

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Common Method Variance and other sources of bias in road traffic research i KeywordsRoad crashes, traffic offences, common method variance, social desirability, method bias, meta-analysis, self-report data, road safety. AbstractReducing the number of fatalities and injuries due to vehicle crashes is a major focus for road safety researchers throughout the world. Research on driver behaviours, attitudes and associated crashes is often conducted using self-report surveys. When the predictor and criterion variables are drawn from a single source (such as a cross-sectional survey) as is generally the case, it has been generally acknowledged that a range of methodological issues associated with this approach have the potential to reduce the efficacy of predictive measures. Common method variance (CMV) is bias that occurs when both the predictors and the predicted variables are gathered and analysed in the same manner from the same source. CMV effects have the potential to distort findings by artificially strengthening or weakening the observed relationships between items of interest. This is of particular concern to road safety researchers, given the distinct possibility that the small associations often observed within road safety studies may in turn be inflated due to CMV biases. There is a significant need to examine the exact nature and extent of CMV effects within self-reported road safety data and to explore how best to reduce this measurement error.The current body of research was conducted with three primary aims in mind:1. Examine the existence of CMV effects.2. Explore the level of influence that CMV effects have on self-report data, including whether these effects inflate or deflate observed relationships between variable.3. Test research methods to control for the influence of CMV effects on selfreport data.Study 1 involved a meta-analysis that quantified the association between crashes and traffic offences in light of potential moderators. In reference to the exploration for CMV effects, this study examined the extent to which the relationship between self-reported traffic offences and self-reported crashes is stronger than that recorded using only official data sources. Studies yielding a correlation between crashes and traffic offences were collated and a meta-analysis of 144 effects drawn from 99 road safety studies conducted. The impact of factors such as age, time period, crash and offence rates, crash severity and data type, sourced from either self-report surveys or archival records, were examined. After weighting for sample size, an average correlation of r = .18 between crashes and traffic offences was observed over the mean time period of 3.2 years. Evidence emerged suggesting the strength of this correlation is decreasing over time. Stronger correlations between crashes and offences were generally found in studies involving younger drivers. In relation to the existence of CMV effects, a within-country analysis found stronger effect sizes in self-reported data after controlling for crash mean ...

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A comparison of information on motor vehicle crashes as reported by written or telephone interviews

Cited by 9 publications

References 16 publications

Validation of self-reported motor-vehicle crash and related work leave in a multi-purpose prospective cohort

Validation of self-reported motor-vehicle crash and related work leave in a multi-purpose prospective cohort

Exposure to a Motor Vehicle Collision and the Risk of Future Neck Pain: A Systematic Review and Meta‐Analysis

Common method variance and other sources of bias in road traffic research

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