Methodological Challenges in Injury Epidemiology and Injury Prevention Research

Cummings, Peter; Koepsell, Thomas D.; Mueller, Beth A.

doi:10.1146/annurev.pu.16.050195.002121

Cited by 61 publications

(37 citation statements)

References 88 publications

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“…In industrialized countries, they have been a powerful tool in epidemiologic research, development of prevention measures, and outcome evaluation and research [10]. As measures to reduce injuries and the consequences of these injuries are sought, methods for counting injuries, calculating injury rates, identifying the causes of injuries and measuring outcomes of interventions are needed [11]. The injury surveillance system in Uganda (ICC) was implemented to address these issues within a developing country [12].…”

Section: Introductionmentioning

confidence: 99%

A Comparison of the Kampala Trauma Score (KTS) with the Revised Trauma Score (RTS), Injury Severity Score (ISS) and the TRISS Method in a Ugandan Trauma Registry

Macleod

Kobusingye

Frost

et al. 2003

European Journal of Trauma

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Background:The public health significance of injuries that occur in developing countries is now recognized. In 1996, as part of the injury surveillance registry in Kampala, Uganda, a new score, the Kampala Trauma Score (KTS) was instituted. The KTS, developed in light of the limited resource base of sub-Saharan Africa, is a simplified composite of the Revised Trauma Score (RTS) and the Injury Severity Score (ISS) and closely resembles the Trauma Score and Injury Severity Score (TRISS). Patients and Methods:The KTS was applied retrospectively to a cohort of prospectively accrued urban trauma patients with the RTS, ISS and TRISS calculated. Using ROC (receiver operating characteristics) analysis, logistic regression models and sensitivity and specificity cutoff analysis, the KTS was compared to these three scores. Results: Using logistic regression models and areas under the ROC curve, the RTS proved a more robust predictor of death at 2 weeks in comparison to the KTS. However, differences in screening performance were marginal (areas under the ROC curves were 87% for the RTS and 84% for the KTS) with statistical significance only reached for an improved specificity (67% vs. 47%; p < 0.001), at a fixed sensitivity of 90%. In addition, the KTS predicted hospitalization at 2 weeks more accurately. Conclusion:The KTS statistically performs comparably to the RTS and ISS alone as well as to the TRISS but has the added advantage of utility. Therefore, the KTS has potential as a triage tool in resource-poor and similar health care settings.

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Section: Introductionmentioning

confidence: 99%

A Comparison of the Kampala Trauma Score (KTS) with the Revised Trauma Score (RTS), Injury Severity Score (ISS) and the TRISS Method in a Ugandan Trauma Registry

Macleod

Kobusingye

Frost

et al. 2003

European Journal of Trauma

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“…[1][2][3] Social factors, such as socioeconomic status (SES), are viewed as fundamental determinants of illness and death for other health outcomes. 4 However, much of the research on the relationship between SES and injury risk uses arbitrary measures of SES, aggregate measures to proxy individual SES, or SES as a confounder 5,6 rather than as a determinant of injury outcomes. 7 Studies suggest that SES is an important risk factor for injury mortality.…”

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confidence: 99%

Socioeconomic status and the occurrence of fatal and nonfatal injury in the United States

2000

Am J Public Health

190

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Objectives. This study examined the contribution of socioeconomic status (SES) to the risk of injury mortality and morbidity among working-age adults.Methods. The sample consisted of respondents to the National Health Interview Survey (1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994), and separate analyses were conducted for injury deaths to respondents by linking to the National Death Index. Proportional hazards regression models were used to analyze mortality. Logistic regression models were used to analyze morbidity.Results. The effects of SES varied substantially by cause of injury mortality and indicator of SES. In the multivariate models, blue-collar workers were at significantly increased odds of nonfatal injury. Education was unrelated to total injury morbidity, although associations were observed after stratification of the outcome by severity and place of occurrence. Black persons were at increased risk for homicide, and Black and Hispanic persons were at decreased risk for suicide and nonfatal injuries, after adjustment for SES.Conclusions. SES is an important determinant of injury, although the effect depends on the indicator of SES and the cause and severity of injury. (Am

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“…This result is incompatible with the adult fracture epidemiology study by Court-Brown. 6 Public health centers want to reduce injuries so that try to methods for counting injuries, determining injury rates. 6 This data could use for this aim.…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of orthopaedic trauma in Istanbul level 3 private hospital

Karakaş¹,

Demiroğlu

2017

Int Surg J

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Background: The distribution of patients who were admitted to the hospital for trauma depends on the location of hospital and the distribution of the population where the hospital is located. The aim was to answer the question regarding the distribution of orthopaedic traumas which were admitted to the emergency service of level 3 a private hospital and to be able to shed light on necessary training and equipment for the aforementioned emergency departments.Methods: The distribution of the patients who were admitted to level 3 private hospital for a year was analyzed retrospectively. The patients who admitted between January 2014 and January 2015 were divided into subgroups as upper extremity, lower extremity, vertebral disk pathology, vertebral trauma, infection and soft tissue trauma, accompanying thoracic trauma and then they were taken into consideration.Results: A total of 1538 patients admitted during a 12-month period. The number of the patients with upper extremity trauma was 539 while that of lower extremity was 423. There were 365 patients with vertebral trauma which was followed by 94 patients with pelvic trauma. The remaining patient group had thoracic trauma.Conclusions: The patients aged between 30-39 years constituted the majority of the cases in present study. The upper extremity injuries were predominant. Also, the number of male patients was higher in every month. The center where the hospital is located plays an important role in determining the age group and type of trauma.

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Methodological Challenges in Injury Epidemiology and Injury Prevention Research

Cited by 61 publications

References 88 publications

A Comparison of the Kampala Trauma Score (KTS) with the Revised Trauma Score (RTS), Injury Severity Score (ISS) and the TRISS Method in a Ugandan Trauma Registry

A Comparison of the Kampala Trauma Score (KTS) with the Revised Trauma Score (RTS), Injury Severity Score (ISS) and the TRISS Method in a Ugandan Trauma Registry

Socioeconomic status and the occurrence of fatal and nonfatal injury in the United States

Epidemiology of orthopaedic trauma in Istanbul level 3 private hospital

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