Measuring injury risk factors: question reliability in a statewide sample

Koziol‐McLain, Jane; Brand, David W.; Morgan, Daniel; Leff, Marilyn; Lowenstein, Steven R.

doi:10.1136/ip.6.2.148

Cited by 25 publications

(15 citation statements)

References 8 publications

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“…A reliability study conducted in Colorado, US, in 1998, using the Behavioral Risk Factor Surveillance System, reported a substantial agreement (kappa = 0.80) in a question regarding motor vehicle crashes requiring medical treatment. 7 Similarly, in the Youth Risk Behavior Survey Questionnaire, questions related to unintentional and intentional injury behaviors had moderate to substantial reliability in every query, 12 though that study did not explore health outcomes.…”

Section: Discussionmentioning

confidence: 99%

“…The recruitment of participants and their follow up is through mailed questionnaires. There is scarcity of studies assessing the reliability of self reported information in motor vehicle related injuries, 7 and the reliability of self reported mileage driven has been seldom studied. 8 Moreover, validity or reliability of self reported motor vehicle related injuries has never been assessed in Spain.…”

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confidence: 99%

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

2006

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Objective: To compare information about traffic crash injuries and kilometers driven reported in a written questionnaire with information reported in a telephone interview. Design: Telephone and paper surveys. Setting: The Seguimiento Universidad de Navarra (SUN, University of Navarra Follow-up) study, in Spain. The SUN study is an open enrollment cohort study with 17 000 enrolled graduates followed through biennial mailed questionnaires. Subjects: A sample of 542 individuals from the SUN study participants. Main outcome measure: Agreement on information about traffic crash injuries and mileage driven in a mailed questionnaire and a telephone survey. Results: Participation was 90.4%. Considering the phone survey as the gold standard, data on traffic crash injuries in the mailed questionnaire had 83% sensitivity (95% CI 77% to 89%), 77% specificity (95% CI 71% to 82%), 74% positive predictive value (95% CI 67% to 80%), and 89% negative predictive value (95% CI 83% to 93%). Agreement beyond chance, measured by the kappa statistic, was 0.63 (95% CI 0.56 to 0.70). Correlation between questionnaire and telephone surveys and kilometers driven on average during a year assessed by the intraclass correlation coefficient was 0.64 (95% CI 0.57 to 0.70), p,0.001. Conclusions: Information on sustained traffic crash injuries and traveled mileage over the previous two years as reported through mailed questionnaires in a highly educated population could be used in the study of associations between traffic crash injuries and a variety of risk factors.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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

2006

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“…29 In previous population based telephone surveys, data have been gathered on domestic violence and other types of intentional injury. [30][31][32][33] The other surveys had specific questions about specific types of intentional injuries. Our findings suggest that direct questions about intentional injuries should be included as specific, separate questions, as those reported here probably represent an under-estimate of intentional injuries.…”

Section: Study Limitationsmentioning

confidence: 99%

Comparison of urban and rural non-fatal injury: the results of a statewide survey

Leff

Stallones²,

Keefe³

et al. 2003

Inj Prev

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Objectives: This study compared the epidemiology of non-fatal injury among urban and rural residents of Colorado. Design: A stratified probability sample with random digit dial methods was used to survey Colorado residents by telephone regarding injuries experienced in the last 12 months. Questions on the cause of the injury, the activity at the time of the injury, and the place of injury were based on the Nordic Medico Statistical Committee's (NOMESCO) classification of external causes of injuries. Subjects: A total of 1425 urban and 1275 rural Colorado residents aged 18 and older were interviewed. Results: Age, gender, marital status, and rural residency were found to increase the odds of self reported injury. The adjusted odds ratio for self reported injury was 1.3 (95% confidence interval (CI) 1.01 to 1.68) for rural compared with urban residents. Rural residence (odds ratio 1.02, 95% CI 0.51 to 7.01) was not a risk factor for injury among the highest risk group, those who were single and never married. No differences in injury characteristics were found by urban-rural status. Conclusions: The increased odds of self reported injury among rural residents were not explained by differences in the causes of injury or other injury characteristics. The differences in the importance of rural residence in increased odds of injury by marital status warrants further understanding and may be important in the development of injury prevention programs. Based on comparison with a similar survey, the NOMESCO coding system appears to be a viable alternative survey tool for gathering information on injury characteristics.

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“…We found only two studies showing better values: Begg et al found that 86% of the participants in their study were able to recall unintentional injury in the previous 3 years, having the health system database as their gold standard (Begg et al, 1999). Koziol-McLain et al assessed re-test reliability of self-reported injury and found a Cohen's k coefficient of 0.80 (95% CI 0.52-1.0) (Koziol-McLain et al, 2000).…”

Section: Discussionmentioning

confidence: 94%

“…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: 98%

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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Measuring injury risk factors: question reliability in a statewide sample

Abstract: The injury related questions added to the Colorado BRFSS have high test-retest reliability.

Cited by 25 publications

References 8 publications

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

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

Comparison of urban and rural non-fatal injury: the results of a statewide survey

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

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