Accuracy of self-reported injuries compared to medical record data

Schuh-Renner, Anna; Canham-Chervak, Michelle; Grier, Tyson; Jones, Bruce H.

doi:10.1016/j.msksp.2018.11.007

Cited by 35 publications

(23 citation statements)

References 30 publications

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“…22,28 When surveyed, soldiers have also recognized several CMT MSKI such as tendonitis, stress fractures, and back and knee pain syndromes as common injuries. 36,37 Military studies have indicated that overuse injuries are a leading military medical burden, annually costing millions in medical treatment and lost duty time. 19,[21][22][23][26][27][28]38 Inclusion of these injuries in military injury surveillance is therefore critical to ensure a full understanding of their impact to force readiness.…”

Section: Discussionmentioning

confidence: 99%

Using causal energy categories to report the distribution of injuries in an active population: An approach used by the U.S. Army

Hauschild

Schuh-Renner

Lee

et al. 2019

Journal of Science and Medicine in Sport

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Section: Discussionmentioning

confidence: 99%

Using causal energy categories to report the distribution of injuries in an active population: An approach used by the U.S. Army

Hauschild

Schuh-Renner

Lee

et al. 2019

Journal of Science and Medicine in Sport

Self Cite

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“…The use of self-reported injury in the study has the potential to under- or over-estimate the prevalence of non-traffic related injury. However, a recent study indicated that 12-month self-reported survey data provides a good indication of injury compared to medical records, although in a military population (Mock et al, 1999a, Mock et al, 1999bSchuh-Renner et al, 2019). We did not use the educational level of the individual because only 1765 (50%) of the respondent have measurements on this variable.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and risk factors associated with non-traffic related injury in the older population in Ghana: Wave 2 of the WHO Study on Global AGEing and adult health (SAGE)

Udofia

Aheto

Mensah

et al. 2019

Preventive Medicine Reports

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Injuries are a significant cause of hospitalization in the older population, leading to a decline in physical activity and greater dependence on others. Compared to traffic related injury, relatively fewer studies have been conducted on non-traffic related injury in the older population in Ghana. This analysis provides a nationwide baseline prevalence and associated factors of non-traffic related injuries among older adults in Ghana. Data from the 2014–2015 nationally representative World Health Organization Study on global AGEing and adult health (SAGE) Ghana Wave 2 was used. A final sample of 3461 older adults living in 2827 households was used in the statistical modelling. Predictors of injury were examined using both single-level and multilevel binary logistic regression models. The prevalence of non-traffic related injury found in this study was 3.74%. The odds of being injured decreased among females (OR = 0.66, 95% CI: 0.46, 0.95) compared to their male counterparts and those who rated their heath state as moderate (OR = 0.59, 95% CI: 0.38, 0.94). Depression was the only risk factor identified in the multivariable model (OR = 2.55, 95%CI: 1.38, 4.71). The study did not observe significant residual household-level variation in injury status. The role of depression as a risk factor suggests that interventions that aim to reduce non-traffic related injury in older adults should consider improving mental health.

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“…Using surveys remain cost-effective method to gain data from large populations so in spite of study limitations, strength of this research is that it helps to gain insight to musculoskeletal acute and overuse injury sites. Recent study showed high self-reported injury data accuracy when comparing with medical-record based data, thereby additionally supporting survey data usage for injury assessment (Schuh-Renner et al, 2019).…”

Section: Discussionmentioning

confidence: 61%

“…Studies conducted in military injury epidemiology field usually are based on medical-record analysis; however, recent study showed high self-reported injury data accuracy when comparing with medical-record based data (Schuh-Renner et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Self-Reported Musculoskeletal Acute and Overuse Injuries Among Latvian Infantry Soldiers

Nesterovica

Vaivads

Stepens

2020

SIE

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Musculoskeletal injury is the leading cause of disability among different military populations that results in socioeconomic burden and negatively affects military readiness. Study aim was to describe self-reported musculoskeletal injuries among Latvian infantry soldiers during one-year period. Survey-based cross-sectional study was carried out. Data was assessed using survey about injuries that occurred in one-year period during annual medical check-up. Musculoskeletal injuries were classified according to body regions as it is in Barell injury matrix and by injury type – acute or overuse. Study results showed in one-year injury incidence rate was 867.8 cases per 1000 person-years (95% CI 824.8 – 913.0) with total 197 musculoskeletal injuries reported among active duty infantry soldiers. Typical acute injuries were superficial contusion injuries (n=24), fractures (n=21), joint dislocations (n=21) and sprains (n=29). Typical overuse diagnoses were lower back pain (n=42), patellofemoral pain syndrome (n=11), medial tibial stress syndrome (n=9), plantar fasciitis (n=8). Present study showed high incidence of overuse back injuries and overuse and acute lower leg injuries. Mostly of reported injuries could be classified as preventable and should be reduced through injury reduction programmes.

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Accuracy of self-reported injuries compared to medical record data

Cited by 35 publications

References 30 publications

Using causal energy categories to report the distribution of injuries in an active population: An approach used by the U.S. Army

Using causal energy categories to report the distribution of injuries in an active population: An approach used by the U.S. Army

Prevalence and risk factors associated with non-traffic related injury in the older population in Ghana: Wave 2 of the WHO Study on Global AGEing and adult health (SAGE)

Self-Reported Musculoskeletal Acute and Overuse Injuries Among Latvian Infantry Soldiers

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