Return to work after trauma: A survival analysis

Abedzadeh-Kalahroudi, Masoumeh; Razi, Ebrahim; Sehat, Mojtaba; Asadi‐Lari, Mohsen

doi:10.1016/j.cjtee.2016.03.008

Cited by 21 publications

(23 citation statements)

References 26 publications

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“…The proportion of RTW in our study is higher compared to previous studies [44,45]. This could be explained by differences in characteristics of the studies; e.g.…”

Section: Rtwcontrasting

confidence: 85%

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Prognostic factors for medical and productivity costs, and return to work after trauma

et al. 2020

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The aim of this study was to determine prognostic factors for medical and productivity costs, and return to work (RTW) during the first two years after trauma in a clinical trauma population. Methods This prospective multicentre observational study followed all adult trauma patients (�18 years) admitted to a hospital in Noord-Brabant, the Netherlands from August 2015 through November 2016. Health care consumption, productivity loss and return to work were measured in questionnaires at 1 week, 1, 3, 6, 12 and 24 months after injury. Data was linked with hospital registries. Prognostic factors for medical costs and productivity costs were analysed with log-linked gamma generalized linear models. Prognostic factors for RTW were assessed with Cox proportional hazards model. The predictive ability of the models was assessed with McFadden R 2 (explained variance) and c-statistics (discrimination). Results A total of 3785 trauma patients (39% of total study population) responded to at least one follow-up questionnaire. Mean medical costs per patient (€9,710) and mean productivity costs per patient (€9,000) varied widely. Prognostic factors for high medical costs were higher age, female gender, spine injury, lower extremity injury, severe head injury, high injury severity, comorbidities, and pre-injury health status. Productivity costs were highest in males, and in patients with spinal cord injury, high injury severity, longer length of stay at the hospital and patients admitted to the ICU. Prognostic factors for RTW were high educational level, male gender, low injury severity, shorter length of stay at the hospital and absence of comorbidity.

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“…The proportion of RTW in our study is higher compared to previous studies [44,45]. This could be explained by differences in characteristics of the studies; e.g.…”

Section: Rtwcontrasting

confidence: 85%

“…This could be explained by differences in characteristics of the studies; e.g. the injury severity in our study was lower [44] or differences in definition of RTW [45]. Our study showed that the probability of RTW decreased over time, but did not stabilize up to 24 months after injury.…”

Section: Rtwcontrasting

confidence: 54%

Prognostic factors for medical and productivity costs, and return to work after trauma

et al. 2020

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“…It is the major cause of mortality, disability and morbidity among reproductive age group populations in the developing countries and in the world [2,3]. Trauma also contributes to about 10% of disease burden worldwide [4]. Among African nations the rate of injury mortality in 2004 was the highest in Nigeria followed by South Africa and Ethiopia as the second and third, respectively.…”

Section: Introductionmentioning

confidence: 99%

Time to Recovery and Determinants of Trauma Among Patients Admitted to Lemlem Karl Hospital Maichew, Southern Tigray, Ehiopia: A Retrospective Cohort Study

Berhe¹,

Redae²,

Yasin³

et al. 2020

IJBSE

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Background: Ethiopia is one of the worst countries in the world where trauma especially traffic accident kills a large number of road users every year. In Ethiopia, the magnitude and survival time to recovery of trauma was not well understood. This study intended to examine time to recovery from trauma and predictors among inpatients in Lemlem Karl Hospital, Maichew, Southern Tigray, Ethiopia, 2017. Methods: A retrospective cohort study was conducted by reviewing records of traumatic patients who were admitted to inpatient surgical ward from January 2013 to December 2017 in Lemlem Karl general hospital Maichew town, Tigray, Ethiopia. A total of 327 study participants were selected using simple random sampling. Kaplan-Meier survival plots were used to calculate the crude effect on trauma, survival probabilities and compared using the log-rank test. Cox proportional hazard regression model was used to identify predictors of hospital length of stay. A total of 93.8% of patients were recovered during the follow-up period with a median time of 4 days. Hence, those who had Complications were about 85% times less likely to develop complications than those who had no complications (HR=0.15; CI 0.09-0.24). In addition to those who get treatment before admission to the ward had 3 times more likely to recover than those patients who didn't get treatment before admission (HR=3.29; CI: 1.82-5.95). Therefore, Severity of trauma, number of traumatic organs and treatment given before admission were found significant predictors of time to recovery from trauma. This study provides greater insight of benefits by develop countermeasures that could reduce the number and severity of trauma length of stay.

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“…In the group of patients who did return to their place of work after trauma, most of them had the length of hospital stay of 1-6 days. In the other group, hospital stay of more than 6 days prevailed 28 .…”

Section: Epo = Erythropoietinmentioning

confidence: 94%

Erythropoietin in the Evaluation of Treatment Outcomes in Patients with Polytrauma

Arsenijević

Šijački

Marjanović

et al. 2017

ACC

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Polytrauma is a term describing patients with injuries involving multiple body regions that compromises function of the body and/or organ involved. The aim of the study was to evaluate the potential role of erythropoietin in predicting poorer outcome in trauma patients. This prospective study included 86 patients admitted to the Emergency Center of Serbia due to polytrauma assigned according to Injury Severity Score (ISS). The patients were further evaluated using the Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores and erythropoietin levels. There was a significant difference among erythropoietin levels at admission, after 48 and 72 hours, and on day 7 of hospital stay, with significantly higher levels in patients with ISS values 49-75. Based on the results, ROC curves were used to identify cut-off levels to predict ISS score with critical clinical course. It was concluded that erythropoietin could be a good marker of injury severity. Further research has to be performed to determine the cut-off values of erythropoietin that are significant for injury severity.

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Return to work after trauma: A survival analysis

Cited by 21 publications

References 26 publications

Prognostic factors for medical and productivity costs, and return to work after trauma

Prognostic factors for medical and productivity costs, and return to work after trauma

Time to Recovery and Determinants of Trauma Among Patients Admitted to Lemlem Karl Hospital Maichew, Southern Tigray, Ehiopia: A Retrospective Cohort Study

Erythropoietin in the Evaluation of Treatment Outcomes in Patients with Polytrauma

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