Predicting work-related disability and medical cost outcomes: a comparison of injury severity scoring methods

Using a severity threshold to improve occupational injury surveillance: Assessment of a severe traumatic injury-based occupational health indicator across the International Classification of Diseases lexicon transition

BACKGROUND

Traumatic injury is a leading cause of death and disability among US workers. Severe injuries are less subject to systematic ascertainment bias related to factors such as reporting barriers, inpatient admission criteria, and workers' compensation coverage. A state-based occupational health indicator (OHI #22) was initiated in 2012 to track work-related severe traumatic injury hospitalizations. After 2015, OHI #22 was reformulated to account for the transition from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to ICD-10-CM. This study describes rates and trends in OHI #22, alongside corresponding metrics for all work-related hospitalizations.

METHODS

Seventeen states used hospital discharge data to calculate estimates for calendar years 2012-2019. State-panel fixed-effects regression was used to model linear trends in annual work-related hospitalization rates, OHI #22 rates, and the proportion of work-related hospitalizations resulting from severe injuries. Models included calendar year and pre- to post-ICD-10-CM transition.

RESULTS

Work-related hospitalization rates showed a decreasing monotonic trend, with no significant change associated with the ICD-10-CM transition. In contrast, OHI #22 rates showed a monotonic increasing trend from 2012 to 2014, then a significant 50% drop, returning to a near-monotonic increasing trend from 2016 to 2019. On average, OHI #22 accounted for 12.9% of work-related hospitalizations before the ICD-10-CM transition, versus 9.1% post-transition.

CONCLUSIONS

Although hospital discharge data suggest decreasing work-related hospitalizations over time, work-related severe traumatic injury hospitalizations are apparently increasing. OHI #22 contributes meaningfully to state occupational health surveillance efforts by reducing the impact of factors that differentially obscure minor injuries; however, OHI #22 trend estimates must account for the ICD-10-CM transition-associated structural break in 2015.

Comparison of survival outcomes among older adults with major trauma after trauma center versus non-trauma center care in the United States

OBJECTIVE

To compare level 1 and 2 trauma centers with similarly sized non-trauma centers on survival after major trauma among older adults.

DATA SOURCES AND STUDY SETTING

We used claims of 100% of 2012-2017 Medicare fee-for-service beneficiaries who received hospital care after major trauma.

STUDY DESIGN

Survival differences were estimated after applying propensity-score-based overlap weights. Subgroup analyses were performed for ambulance-transported patients and by external cause. We assessed the roles of prehospital care, hospital quality, and volume.

DATA COLLECTION

Data were obtained from the Centers for Medicare and Medicaid Services.

PRINCIPAL FINDINGS

Thirty-day mortality was higher overall at level 1 versus non-trauma centers by 2.2 (95% confidence interval [CI]: 1.8, 2.6) percentage points (pp). Thirty-day mortality was higher at level 1 versus non-trauma centers by 2.3 (95% CI: 1.9, 2.8) pp for falls and 2.3 (95% CI: 0.2, 4.4) pp for motor vehicle crashes. Differences persisted at 1 year. Level 1 and 2 trauma centers had similar outcomes. Hospital quality and volume did not explain these differences. In the ambulance-transported subgroup, after adjusting for prehospital variables, no statistically significant differences remained.

CONCLUSIONS

Trauma centers may not provide longer survival than similarly sized non-trauma hospitals for severely injured older adults.

Utilization of Chest and Abdominopelvic CT for Traumatic Injury From 2011 to 2018: Evaluation Using a National Commercial Database

BACKGROUND. Increases in the use of CT to evaluate patients presenting with trauma have raised concern about inappropriate imaging. The evolving utilization of CT for trauma evaluation may be impacted by injury severity. OBJECTIVE. The purpose of this study was to explore patterns in utilization of chest and abdominopelvic CT among trauma-related emergency department (ED) visits across the United States. METHODS. This retrospective study was conducted with national commercial claims information extracted from the MarketScan Commercial Database. Trauma-related ED encounters were identified from the 2011-2018 MarketScan database files and classified by injury severity score (minor, intermediate, and major injuries) on the basis of International Classification of Diseases codes. ED encounters were also assessed for chest CT, abdominopelvic CT, and single-encounter chest and abdominopelvic CT examinations. Utilization per 1000 trauma-related ED encounters was determined. Multivariable Poisson regression models were used to determine incidence rate ratios (IRRs) as a measure of temporal changes in utilization. RESULTS. From 2011 to 2018, 8,369,092 trauma-related ED encounters were identified (5,685,295 for minor, 2,624,944 for intermediate, and 58,853 for major injuries). Utilization of chest CT per 1000 trauma-related ED encounters increased from 4.9 to 13.5 examinations (adjusted IRR, 1.15 per year; minor injuries, from 2.2 to 7.7 [adjusted IRR, 1.17]; intermediate injuries, from 8.5 to 21.5 [adjusted IRR, 1.16]; major injuries, from 117.8 to 200.1 [adjusted IRR, 1.08]). Utilization of abdominopelvic CT per 1000 trauma-related ED encounters increased from 7.5 to 16.4 (adjusted IRR, 1.12; minor injuries, 4.8 to 12.2 [adjusted IRR, 1.13]; intermediate injuries, 10.6 to 21.7 [adjusted IRR, 1.13]; major injuries, 134.8 to 192.6 [adjusted IRR, 1.07]). Utilization of single-encounter chest and abdominopelvic CT per 1000 trauma-related ED encounters increased from 3.4 to 8.9 [adjusted IRR, 1.16; minor injuries, 1.1 to 4.6 [adjusted IRR, 1.18]; intermediate injuries, 6.4 to 16.4 [adjusted IRR, 1.16]; major injuries, 99.6 to 179.9 [adjusted IRR, 1.08]). CONCLUSION. National utilization of chest and abdominopelvic CT for trauma-related ED encounters increased among commercially insured patients from 2011 to 2018, particularly for single-encounter chest and abdominopelvic CT examinations and for minor injuries. CLINICAL IMPACT. Given concerns about increased cost and detection of incidental findings, further investigation is warranted to explore the potential benefit of single-encounter chest and abdominopelvic CT examinations of patients with minor injuries and to develop strategies for optimizing appropriateness of imaging orders.

How does Injury Severity Score derived from International Classification of Diseases Programs for Injury Categorization using International Classification of Diseases, Tenth Revision, Clinical Modification codes perform compared with Injury Severity Score derived from Trauma Quality Improvement Program?

BACKGROUND

Injury Severity Score (ISS) is a measurement of injury severity based on the Abbreviated Injury Scale. Because of the difficulty and expense of Abbreviated Injury Scale coding, there have been recent efforts in mapping ISS from administrative International Classification of Diseases ( ICD ) codes instead. Specifically, the open source and freely available International Classification of Diseases Programs for Injury Categorization (ICDPIC) in R (Foundation for Statistical Computing, Vienna, Austria) converts International Classification of Diseases, Ninth Revision, codes to ISS. This study aims to compare ICDPIC calculations versus manually derived Trauma Quality Improvement Program (TQIP) calculations for International Classification of Diseases, Tenth Revision ( ICD-10 ), codes. Moderate concordance was chosen as the hypothetical relationship because of previous work by both Fleischman et al. ( J Trauma Nurs. 2017;24(1):4-14) who found moderate to substantial concordance between ICDPIC and ISS and Di Bartolomeo et al. ( Scand J Trauma Resusc Emerg Med. 2010;18(1):17) who found none to slight concordance. Given these very different findings, we thought it reasonable to predict moderate concordance with the use of more detailed ICD-10 codes.

METHODS

This was an observational cohort study of 1,040,728 encounters in the TQIP registry for the year 2018. International Classification of Diseases Programs for Injury Categorization in R was used to derive ISS from the ICD-10 codes in the registry. The resulting scores were compared with the manually derived ISS in TQIP.

RESULTS

The median difference between ISS calculated by ICDPIC-2021 using ICD-10, Clinical Modification (ISS-ICDPIC), and manually derived ISS was -3 (95% confidence interval, -5 to 0), while the mean difference was -2.09 (95% confidence interval, -2.10 to -2.07). There was substantial concordance between ISS-ICDPIC and manually derived ISS ( κ = 0.66). The ISS-ICDPIC was a better predictor of mortality (area under the curve, 0.853 vs. 0.836) but a worse predictor of intensive care unit admission (area under the curve, 0.741 vs. 0.757) and hospital stay ≥10 days (AUC, 0.701 vs. 0.743). The ICDPIC has substantial concordance with TQIP for the firearm ( κ = 0.69), motor vehicle trauma ( κ = 0.71), and pedestrian ( κ = 0.73) injury mechanisms.

CONCLUSION

When TQIP data are unavailable, ICDPIC remains a valid way to calculate ISS after transition to ICD-10 codes. The ISS-ICDPIC performs well in predicting a number of outcomes of interest but is best served as a predictor of mortality.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

A National Assessment of Legacy vs New Generation Medicaid Data

OBJECTIVE

To compare performance of Medicaid legacy, Medicaid new generation, and Medicare claims on data analytic tasks DATA SOURCES: Medicaid Analytic eXtract (MAX) claims (legacy) of 100% beneficiaries in 2011 (all states except Idaho), 2012 (all states), 2013 (28 states), and 2014 (17 states); 2016 Transformed Medicaid Statistical Information System Analytic Files (TAF) claims (new generation) of 100% beneficiaries from all states; Medicare claims of 20% beneficiaries in 2011-2014, 2016.

STUDY DESIGN

We focused on the chain of events that starts with an out-of-hospital medical emergency and ends with hospital death or survival to discharge. We developed six data quality indicators to assess ambulance variables; linkage between claims; external cause of injury code reporting; and death reporting on hospital discharge status codes. For the latter, we estimated injury severity and modeled its association with death in the Medicare population. We used the model to compare reported vs expected deaths by injury severity in the Medicaid population. Datasets were compared by state and fee-for-service vs managed care.

DATA EXTRACTION METHODS

Medicare and Medicaid beneficiaries with emergency ambulance transports PRINCIPAL FINDINGS: Medicare claims had high performance across indicators and states; MAX claims substantially underperformed on multiple indicators in most states. For example, most states reported external cause codes for over 90% of Medicare but less than 15% of Medicaid injury cases. Medicaid fee-for-service did not consistently perform better than Medicaid managed care. Compared with MAX, TAF claims performed significantly better on some indicators but continued to have poor external cause code reporting. Finally, MAX and TAF managed care records reported deaths at discharge in the range of expected deaths; however, fee-for-service claims might have underreported high-severity injury deaths.

CONCLUSIONS

New generation Medicaid claims performed better than legacy claims on some indicators, but much more improvement is needed to allow high-quality policy analysis.

Evaluating the Impact of Intensive Case Management for Severe Vocational Injuries on Work Incapacity and Costs

Purpose This study investigates the impact of an intensive case management program on sick leave days, permanent work incapacity levels and treatment costs for severe vocational injuries set up by the French National Insurance Fund in five health insurance districts. Methods The method employed relies on a four-step matching procedure combining Coarsened Exact Matching and Propensity Score Matching, based on an original administrative dataset. Average Treatment effects on the Treated were estimated using a parametric model with a large set of covariates. Results After one-year follow-up, workers in the treatment group had higher sickness absence rates, with 22 extra days, and the program led to 2.7 (95% CI 2.3-3.1) times more diagnoses of permanent work incapacity in the treatment group. With an estimated yearly operational cost of 2,722 € per treated worker, the average total extra treatment cost was 4,569 € for treated workers, which corresponds to a cost increase of 29.2% for the insurance fund. Conclusions The higher costs found for the treatment group are mainly due to longer sick leave duration for the moderate severity group, implying higher cash transfers in the form of one-off indemnities. Even though workers in the treated group have more diagnoses of permanent work incapacity, the difference of severity between groups is small. Our results on longer sick leave duration are partly to be explained by interactions between the case managers and the occupational physicians that encouraged patients to stay longer off-work for better recovery, despite the higher costs that this represented for the insurance fund and the well-documented adverse side effects of longer periods off-work.

Disproportionate Use in Minor Trauma Is Driving Emergency Department Cervical Spine Imaging: An Injury Severity Score-Based Analysis

PURPOSE

Clinical practice guidelines intended to reduce unnecessary cervical spine imaging have yielded mixed results. We aimed to assess evolving emergency department (ED) cervical spine imaging utilization in patients with trauma by injury severity.

METHODS

Using 2009 to 2018 IBM MarketScan Commercial Databases, we identified ED trauma encounters, associated cervical spine imaging, and related diagnosis codes. We classified encounters by injury severity (minor, intermediate, major) using an International Classification of Disease code-derived Injury Severity Score algorithm and studied evolving imaging utilization using multivariable Poisson regression models.

RESULTS

Of all 11,346,684 ED visits for trauma, 7,753,914 (68.3%), 3,524,250 (31.1%), and 68,520 (0.6%) involved minor, intermediate, and major injuries, respectively. Overall cervical spine imaging increased 5.7% annually (incidence rate ratio [IRR] 1.057, P < .001) with radiography decreasing 2.7% annually (IRR 0.973, P < .001) and CT increasing 10.5% annually (IRR 1.105, P < .001). Radiography utilization remained unchanged for minor injuries (IRR 0.994, P = .14) but decreased for intermediate (IRR 0.928 versus minor, P < .001) and major (IRR 0.931 versus minor, P < .001) injuries. Increases in CT utilization were greatest for minor injuries (IRR 1.109, P < .001) with smaller increases in intermediate (IRR 0.960 versus minor, P < .001) and major (IRR 0.987 versus minor, P = .022) injuries.

CONCLUSIONS

Recent increases in cervical spine imaging in commercially insured patients with trauma seen in the ED have been largely related to increases in CT for patients with only minor injuries, in whom imaging utilization has been historically low. Further study is necessary to assess appropriateness, implications on costs and population radiation dose, and factors influencing ordering decision making.

Update on the epidemiology of work-related traumatic brain injury: a systematic review and meta-analysis

BACKGROUND

Traumatic brain injury (TBI) is a public health concern that can occur in a range of contexts. Work-related TBI (wrTBI) is particularly concerning. Despite overall work-related injury claims decreasing, the proportion of claims that are wrTBI have increased, suggesting prevention and support of wrTBI requires ongoing attention.

OBJECTIVES

This review aimed to provide updated information on the burden and risk factors of wrTBI among the working adult population.

METHODS

Medline, Embase, PsycINFO, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched using a combination of TBI, work, and epidemiology text words and medical subject headings. Two reviewers independently assessed articles for inclusion. Meta-analyses were conducted to estimate prevalence and mortality of wrTBI and a narrative synthesis was conducted to provide additional context.

RESULTS

Pooled proportions meta-analyses estimate that 17.9% of TBIs were work-related and 6.3% of work-related injuries resulted in TBI, with 3.6% of wrTBI resulting in death. Populations of wrTBI were predominantly male (76.2%) and were 40.4 years of age, on average. The most commonly reported industries for wrTBI were education and training, healthcare and social assistance, construction, manufacturing, and transportation. Falls, being struck by an object or person, motor vehicle collisions, and assaults were the most commonly reported mechanisms of wrTBI.

CONCLUSIONS

A better understanding of the epidemiology of wrTBI can inform prevention and management strategies. This review highlights existing gaps, including a notable lack of sex or gender stratified data, to direct future investigation.

PROSPERO REGISTRATION NUMBER

CRD42020169642.

Characterizing Long-Term Trajectories of Work and Disability Leave: The Role of Occupational Exposures, Health, and Personal Demographics

OBJECTIVE

This article characterizes trajectories of work and disability leave across the tenure of a cohort of 49,595 employees in a large American manufacturing firm.

METHODS

We employ sequence and cluster analysis to group workers who share similar trajectories of work and disability leave. We then use multinomial logistic regression models to describe the demographic, health, and job-specific correlates of these trajectories.

RESULTS

All workers were clustered into one of eight trajectories. Female workers (RR 1.3 to 2.1), those experiencing musculoskeletal disease (RR 1.3 to 1.5), and those whose jobs entailed exposure to high levels of air pollution (total particulate matter; RR 1.9 to 2.4) were more likely to experience at least one disability episode.

CONCLUSIONS

These trajectories and their correlates provide insight into disability processes and their relationship to demographic characteristics, health, and working conditions of employees.

Assessment of nursing home reporting of major injury falls for quality measurement on nursing home compare

OBJECTIVE

To assess the accuracy of nursing home self-report of major injury falls on the Minimum Data Set (MDS).

DATA SOURCES

MDS assessments and Medicare claims, 2011-2015.

STUDY DESIGN/METHODS

We linked inpatient claims for major injury falls with MDS assessments. The proportion of claims-identified falls reported for each fall-related MDS item was calculated. Using multilevel modeling, we assessed patient and nursing home characteristics that may be predictive of poor reporting. We created a claims-based major injury fall rate for each nursing home and estimated its correlation with Nursing Home Compare (NHC) measures.

PRINCIPAL FINDINGS

We identified 150,828 major injury falls in claims that occurred during nursing home residency. For the MDS item used by NHC, only 57.5 percent were reported. Reporting was higher for long-stay (62.9 percent) than short-stay (47.2 percent), and for white (59.0 percent) than nonwhite residents (46.4 percent). Adjusting for facility-level race differences, reporting was lower for nonwhite people than white people; holding constant patient race, having larger proportions of nonwhite people in a nursing home was associated with lower reporting. The correlation between fall rates based on claims vs the MDS was 0.22.

CONCLUSIONS

The nursing home-reported data used for the NHC falls measure may be highly inaccurate.

Variation in Adult Traumatic Brain Injury Outcomes in the United States

OBJECTIVE

To ascertain the degree of variation, by state of acute care hospitalization, in outcomes associated with traumatic brain injury (TBI) in an adult population.

SETTING

All acute care hospitals in 21 states in the United States in the year 2010.

PARTICIPANTS

Adult (> 18 years) patients (N = 95 546) admitted to a hospital with a moderate or severe TBI.

DESIGN

Retrospective cohort study using data from State Inpatient Databases from Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project.

MAIN MEASURES

Inpatient mortality and discharge to inpatient rehabilitation.

RESULTS

The adjusted risk of inpatient mortality varied between states by as much as 40%, with age, severity of injury, and insurance status as significant factors in both outcomes. The adjusted risk of discharge to inpatient rehabilitation varied between by more than 100% among the states measured.

CONCLUSIONS

There was clinically significant variation between states in inpatient mortality and rehabilitation discharge after adjusting for variables known to affect each outcome. Future efforts should be focused on identifying the causes of this state-to-state variation, how these causes affect patient outcomes, and may serve as a guide to further standardization of treatment for traumatic brain injury across the United States.

Between-hospital and between-neighbourhood variance in trauma outcomes: cross-sectional observational evidence from the Detroit metropolitan area

OBJECTIVE

Disparities in treatment outcomes for traumatic injury are an important concern for care providers and policy makers. Factors that may influence these disparities include differences in risk exposure based on neighbourhood of residence and differences in quality of care between hospitals in different areas. This study examines geographical disparities within a single region: the Detroit metropolitan area.

DESIGN

Data on all trauma admissions between 2006 and 2014 were obtained from the Michigan State Inpatient Database. Admissions were grouped by patient neighbourhood of residence and admitting hospital. Generalised linear mixed modelling procedures were used to determine the extent of shared variance based on these two levels of categorisation on three outcomes. Patients with trauma due to common mechanisms (falls, firearms and motor vehicle traffic) were examined as additional subgroups.

SETTING

66 hospitals admitting patients for traumatic injury in the Detroit metropolitan area during the period from 2006 to 2014.

PARTICIPANTS

404 675 adult patients admitted for treatment of traumatic injury.

OUTCOME MEASURES

In-hospital mortality, length of stay and hospital charges.

RESULTS

Intraclass correlation coefficients indicated that there was substantial shared variance in outcomes based on hospital, but not based on neighbourhood of residence. Among all injury types, hospital-level differences accounted for 12.5% of variance in mortality risk, 28.5% of variance in length of stay and 32.2% of variance in hospital charges. Adjusting the results for patient age, injury severity, mechanism and comorbidities did not result in significant reduction in the estimated variance at the hospital level.

CONCLUSIONS

Based on these data, geographical disparities in trauma treatment outcomes were more strongly attributable to differences in access to quality hospital care than to risk factors in the neighbourhood environment. Transfer of high-risk cases to hospitals with greater institutional experience in the relevant area may help address mortality disparities in particular.

Assessment of clinical parameters of the polytraumatized patient as predictors of hospital expenditure and of its distribution

INTRODUCTION

Traumatic pathology continues to represent an important socio-health problem. The aim of the study was to assess the clinical predictors of total expenditure, as well as to analyze which components of the cost are modified with each clinical parameter of the polytraumatized patient.

MATERIAL AND METHODS

Retrospective study of 131 polytrauma patients registered prospectively. A statistical analysis was carried out to assess the relationship between clinical parameters, the total cost and the cost of various treatment components.

RESULTS

The total cost of hospital admission was 3,791,879 euros. The average cost per patient was € 28,945. Age and gender were not predictors of cost. The scales ISS, NISS and PS were predictors of the total cost and of multiple treatment components. The AIS of Skull and Thorax predicted a higher cost of admission to ICU and Total Cost. The AIS of lower limbs was associated with greater spending on facets of treatment related to surgical activity.

DISCUSSION

There are clinical parameters that are predictors of the treatment cost of the polytraumatized patient. The study describes how the type of trauma that the patient suffers modifies the type of expenses that will present in their hospital admission.

CONCLUSIONS

Polytraumatized patients with severe multisystem injury present increased costs in multiple components of the treatment cost. Patients with TBI or chest trauma present a higher cost for admission to ICU and those with orthopaedic trauma are associated with greater expenditure on surgical activity.

Open-access programs for injury categorization using ICD-9 or ICD-10

Background

The article introduces Programs for Injury Categorization, using the International Classification of Diseases (ICD) and R statistical software (ICDPIC-R). Starting with ICD-8, methods have been described to map injury diagnosis codes to severity scores, especially the Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS). ICDPIC was originally developed for this purpose using Stata, and ICDPIC-R is an open-access update that accepts both ICD-9 and ICD-10 codes.

Methods

Data were obtained from the National Trauma Data Bank (NTDB), Admission Year 2015. ICDPIC-R derives CDC injury mechanism categories and an approximate ISS (“RISS”) from either ICD-9 or ICD-10 codes. For ICD-9-coded cases, RISS is derived similar to the Stata package (with some improvements reflecting user feedback). For ICD-10-coded cases, RISS may be calculated in several ways: The “GEM” methods convert ICD-10 to ICD-9 (using General Equivalence Mapping tables from CMS) and then calculate ISS with options similar to the Stata package; a “ROCmax” method calculates RISS directly from ICD-10 codes, based on diagnosis-specific mortality in the NTDB, maximizing the C-statistic for predicting NTDB mortality while attempting to minimize the difference between RISS and ISS submitted by NTDB registrars (ISSAIS). Findings were validated using data from the National Inpatient Survey (NIS, 2015).

Results

NTDB contained 917,865 cases, of which 86,878 had valid ICD-10 injury codes. For a random 100,000 ICD-9-coded cases in NTDB, RISS using the GEM methods was nearly identical to ISS calculated by the Stata version, which has been previously validated. For ICD-10-coded cases in NTDB, categorized ISS using any version of RISS was similar to ISSAIS; for both NTDB and NIS cases, increasing ISS was associated with increasing mortality. Prediction of NTDB mortality was associated with C-statistics of 0.81 for ISSAIS, 0.75 for RISS using the GEM methods, and 0.85 for RISS using the ROCmax method; prediction of NIS mortality was associated with C-statistics of 0.75–0.76 for RISS using the GEM methods, and 0.78 for RISS using the ROCmax method. Instructions are provided for accessing ICDPIC-R at no cost.

Conclusions

The ideal methods of injury categorization and injury severity scoring involve trained personnel with access to injured persons or their medical records. ICDPIC-R may be a useful substitute when this ideal cannot be obtained.

Relating Older Workers' Injuries to the Mismatch Between Physical Ability and Job Demands

OBJECTIVE

We examined the association between job demand and occupational injury among older workers.

METHODS

Participants were workers aged 50+ enrolled in the Health and Retirement Study, 2010 to 2014. Participants reported physical ability within three domains: physical effort, stooping/kneeling/crouching, and lifting. To measure subjective job demand, participants rated their job's demands within domains. We generated objective job demand measures through the Occupational Information Network (ONET). Using Poisson regression, we modeled the association between physical ability, job demand, and self-reported occupational injury. A second model explored interaction between job demand and physical ability.

RESULTS

The injury rate was 22/1000 worker-years. Higher job demand was associated with increased injury risk. Within high job demands, lower physical ability was associated with increased injury risk.

CONCLUSIONS

Older workers whose physical abilities do not meet job demands face increased injury risk.

Universal Health Insurance and its association with long term outcomes in Pediatric Trauma Patients

BACKGROUND

Racial disparities in mortality exist among pediatric trauma patients; however, little is known about disparities in outcomes following discharge.

METHODS

We conducted a longitudinal cohort study of children admitted for moderate to severe trauma, covered by TRICARE from 2006 to 2014. Patients were followed up to 90days after discharge. All children <18 years with a primary trauma diagnosis, an Injury Severity Score >9 and 90days of follow-up after discharge were included. Complications, readmissions and utilization of healthcare services up to 90days after discharge were compared between Black and White patients.

RESULTS

Of the 5192 children included, majority were White (74.6%, n=3871), with 15.4% Black (n=800) and 10.0% Other (n=521). Most common injuries involved the extremities or the pelvic girdle followed by the head or neck. Complication and readmission rates were 3.6% and 8.9% within 30days of discharge respectively and 4.4% and 9.3% within 90days of discharge. 99.0% of children had at least one outpatient visit by 90days. After adjusting for patient and injury characteristics no significant differences were detected between Black and White children in outcomes after discharge.

CONCLUSIONS

Universal insurance may help mitigate disparities in post discharge care in pediatric trauma populations by increasing access to outpatient services overall and within each racial group. Further studies are required to determine the appropriate timing and frequency of follow up care in order to achieve maximum reduction in use of acute care services after discharge.

Injury severity in polytrauma patients is underestimated using the injury severity score: a single-center correlation study in air rescue

PURPOSE

Prehospital estimation of injury severity is essential for prehospital therapy, deciding on the destination hospital and the associated emergency room care. The aim of this study was to compare prehospital estimates of the abbreviated injury scale (AIS) and the Injury Severity Score (ISS) by emergency physicians with the values of AIS and ISS of injury severity determined at the conclusion of diagnostics.

METHODS

In this prospective study, the ISS was determined prehospital by emergency physicians. The validated AIS and ISS were analyzed based on final diagnoses. A Bland-Altman plot was used in analyzing the agreement between two different assays as well as sensitivity and specificity were determined. Confidence intervals were calculated for a Wilson score. Significance level was set at p ≤ 0.05.

RESULTS

The prehospital ISS was estimated at 26.0 ± 13.0 and was 34.7 ± 16.3 (p < 0.001) after in-hospital validation. In addition, most of the AIS subgroups were significantly higher in the final calculation than preclinically estimated (p < 0.05). When analyzing subgroups of trauma patients (ISS < 16 vs. ISS ≥ 16), we were able to demonstrate a sensitivity of > 90% to identify a multiple-trauma patient. Diagnosing a higher injury severity group (ISS ≥ 25), sensitivity dropped to 61.1%. The Bland-Altman plot demonstrates that injury severity is underestimated in higher injury levels.

CONCLUSION

Multiple-trauma patients can be identified using the ISS. Anatomic scores might be used for transport decisions; however, an accurate estimation of the injury severity should also be based on other criteria such as patient status, mechanism of injury, and other triage criteria.

Hospital trauma level's association with outcomes for injured pregnant women and their neonates in Washington state, 1995-2012

Background:

Trauma occurs in 8% of all pregnancies. To date, no studies have evaluated the effect of the hospital's trauma designation level as it relates to birth outcomes for injured pregnant women.

Methods:

This population-based, retrospective cohort study evaluated the association between trauma designation levels and injured pregnancy birth outcomes. We linked Washington State Birth and Fetal Death Certificate data and the Washington State Comprehensive Hospital Abstract Recording System. Injury was identified using the International Classification of Diseases, Ninth Revision injury diagnosis and external causation codes. The association was analyzed using logistic regression to estimate odds ratios and 95% confidence intervals (CIs).

Results:

We identified 2492 injured pregnant women. Most birth outcomes studied, including placental abruption, induction of labor, premature rupture of membranes, cesarean delivery, maternal death, gestational age <37 weeks, fetal distress, fetal death, neonatal respiratory distress, and neonatal death, showed no association with trauma hospital level designation. Patients at trauma Level 1–2 hospitals had a 43% increased odds of preterm labor (95% CI: 1.15–1.79) and a 66% increased odds of meconium at delivery (95% CI: 1.05–2.61) compared to those treated at Level 3–4 hospitals. Patients with an injury severity score >9, treated at trauma Level 1–2 hospitals, had an aOR of low birth weight, <2500 g, of 2.52 (95% CI: 1.12–5.64).

Conclusions:

The majority of birth outcomes for injured patients had no association with hospitalization at a Level 1–2 compared to a Level 3–4 trauma center.

Risk factors for 14-day rehospitalization following trauma with new traumatic spinal cord injury diagnosis: A 10-year nationwide study in Taiwan

Objectives

Fourteen-day rehospitalization with new traumatic spinal cord injury (tSCI) diagnosis is used as an indicator for the diagnostic quality of the first hospitalization. In this nationwide population-based cohort study, we identified risk factors for this indicator.

Methods

We conducted a nested case–control study by using the data of patients who received a first hospitalization for trauma between 2001 and 2011. The data were retrieved from Taiwan’s National Health Insurance Research Database. Variables including demographic and trauma characteristics were compared between patients diagnosed with tSCI at the first hospitalization and those receiving a 14-day rehospitalization with new tSCI diagnosis.

Results

Of the 23 617 tSCI patients, 997 had 14-day rehospitalization with new tSCI diagnosis (incidence rate, 4.22%). The risk of 14-day rehospitalization with new tSCI diagnosis was significantly lower in patients with severe (injury severity score [ISS] = 16–24; odds ratio [OR], 0.17; 95% confidence interval [CI], 0.13–0.21) and profound (ISS > 24; OR, 0.11; 95% CI, 0.07–0.18) injuries. Interhospital transfer (OR, 8.20; 95% CI, 6.48–10.38) was a significant risk factor, along with injuries at the thoracic (OR, 1.62; 95% CI, 1.21–2.18), lumbar (OR, 1.30; 95% CI, 1.02–1.65), and multiple (OR, 3.23; 95% CI, 1.86–5.61) levels. Brain (OR, 2.82), chest (OR, 2.99), and abdominal (OR, 2.74) injuries were also identified as risk factors. In addition, the risk was higher in patients treated at the orthopedic department (OR, 2.26; 95% CI, 1.78–2.87) and those of other surgical disciplines (OR, 1.89; 95% CI, 1.57–2.28) than in those treated at the neurosurgery department.

Conclusions

Delayed tSCI diagnoses are not uncommon, particularly among trauma patients with ISSs < 16 or those who are transferred from lower-level hospitals. Further validation and implementation of evidence-based decision rules is essential for improving the diagnostic quality of traumatic thoracolumbar SCI.

Burden of USA hospital charges for traumatic brain injury

OBJECTIVES

This study sought to estimate charges associated with USA hospital visits for traumatic brain injury (TBI), compare charges from 2006-2010 and evaluate factors associated with higher charges.

METHODS

The Nationwide Emergency Department Sample database, 2006-2010, was used to estimate charges for emergency department visits and inpatient hospital stays associated with TBI and trends in charges over time were compared. Multivariable linear regression was used to evaluate factors associated with visit charges.

RESULTS

In 2010, there were $21.4 billion (95% confidence interval (CI) = $17.7-$25.2 billion) in charges for TBI-related admissions, an increase of 22% from 2006. Charges for ED visits resulting in discharge or transfer were $8.2 billion (95% CI = $7.4-$8.9 billion), an increase of 94% from 2006. The proportion of charges for TBI-related visits was disproportionately higher than the proportion of visits for TBI across all years of the study (p < 0.001). Patient age and gender, West region, trauma centre status, non-paediatric hospital designation, metropolitan location and hospital ownership were independently associated with higher charges.

CONCLUSIONS

There was a substantial charge burden from TBI-related hospital visits and charges increased disproportionately to visit volume. There are patient and hospital factors independently associated with higher charges. These findings, as well as methods to reduce the charge burden and charge disparities, deserve further study.

Recovery of functional capacity in severe trauma victims at one year after injury: association with trauma-related and hospital stay aspects

[Purpose] The aim of this study was to investigate the functional capacity of trauma survivors one year after hospital discharge and to identify associations with trauma- and hospital stay-related aspects in a developing country. [Subjects and Methods] This study included severe trauma patients (Injury Severity Score ≥16; ≥18 years old) who were admitted to an intensive care unit in Sao Paulo, Brazil. Hospital stay data were collected from the patients’ records. Functional capacity was assessed using the Glasgow Outcome Scale and Lawton Instrumental Activities of Daily Living Scale one year after hospital discharge. Patients were asked if they had returned to work/school. [Results] Forty-nine patients completed follow-up. According to the Glasgow Outcome Scale data, most patients had moderate or mild/no dysfunction. The Lawton Instrumental Activities of Daily Living Scale showed that 60–70% of the subjects performed most activities independently. Multiple linear regression of the Glasgow score, Acute Physiology and Chronic Health Disease Classification System II score, length of mechanical ventilation, and hospital length of stay revealed an association between the Lawton Instrumental Activities of Daily Living Scale and hospital length of stay. Overall, 32.6% of the subjects had returned to work/school. [Conclusion] Most severe trauma patients experienced functional recovery, although only one-third had returned to work/school one year after hospital discharge. Hospital length of stay was identified as a significant predictor of functional recovery.

Association Between Hospital Trauma Designation and Maternal and Neonatal Outcomes after Injury among Pregnant Women in Washington State

BACKGROUND

Approximately 8% of all pregnant women experience a traumatic injury during pregnancy. There has been no evaluation of a state trauma system's effect on birth outcomes. This study examined the association of treatment in a designated trauma hospital vs a nontrauma hospital on maternal and neonatal outcomes among injured pregnant patients in Washington State.

STUDY DESIGN

We conducted a population-based retrospective cohort study (1995 to 2012). The Washington State Birth Events Records Database and the Comprehensive Hospital Abstract Recording System were linked to ascertain all hospitalized injured pregnant patients. The cohort was dichotomized by exposure to trauma vs nontrauma hospitals. We analyzed the association between trauma hospital designation and risk of adverse birth outcomes using logistic regression to estimate odds ratios and 95% CI, adjusting for Injury Severity Score and other confounders.

RESULTS

We ascertained 3,429 injured pregnant women. Patients treated in trauma hospitals had an adjusted odds ratio (aOR) of 0.60 (95% CI, 0.50-0.73) for preterm labor, aOR = 0.74 (95% CI, 0.57-0.96) for gestational age <37 weeks, aOR = 0.72 (95% CI, 0.54-0.97) for birth weight <2,500 g, and aOR = 0.54 (95% CI, 0.39-0.76) for meconium at delivery. No statistically significant associations were found for maternal death (aOR = 2.57; 95% CI, 0.32-20.38), fetal death (aOR = 1.60; 95% CI, 0.35-7.35), or neonatal death (aOR = 1.50; 95% CI, 0.50-4.49).

CONCLUSIONS

Treatment of injured pregnant women at designated trauma hospitals was associated with several improved birth outcomes. Trauma hospital treatment, with a greater focus on maternal resuscitation and monitoring, might explain these findings.

A New Method to Classify Injury Severity by Diagnosis: Validation Using Workers' Compensation and Trauma Registry Data

PURPOSE

Acute work-related trauma is a leading cause of death and disability among U.S. workers. Existing methods to estimate injury severity have important limitations. This study assessed a severe injury indicator constructed from a list of severe traumatic injury diagnosis codes previously developed for surveillance purposes. Study objectives were to: (1) describe the degree to which the severe injury indicator predicts work disability and medical cost outcomes; (2) assess whether this indicator adequately substitutes for estimating Abbreviated Injury Scale (AIS)-based injury severity from workers' compensation (WC) billing data; and (3) assess concordance between indicators constructed from Washington State Trauma Registry (WTR) and WC data.

METHODS

WC claims for workers injured in Washington State from 1998 to 2008 were linked to WTR records. Competing risks survival analysis was used to model work disability outcomes. Adjusted total medical costs were modeled using linear regression. Information content of the severe injury indicator and AIS-based injury severity measures were compared using Akaike Information Criterion and R(2).

RESULTS

Of 208,522 eligible WC claims, 5 % were classified as severe. Among WC claims linked to the WTR, there was substantial agreement between WC-based and WTR-based indicators (kappa = 0.75). Information content of the severe injury indicator was similar to some AIS-based measures. The severe injury indicator was a significant predictor of WTR inclusion, early hospitalization, compensated time loss, total permanent disability, and total medical costs.

CONCLUSIONS

Severe traumatic injuries can be directly identified when diagnosis codes are available. This method provides a simple and transparent alternative to AIS-based injury severity estimation.

The direct cost burden of 13years of disabling workplace injuries in the U.S. (1998-2010): Findings from the Liberty Mutual Workplace Safety Index

INTRODUCTION

Although occupational injuries are among the leading causes of death and disability around the world, the burden due to occupational injuries has historically been under-recognized, obscuring the need to address a major public health problem.

METHODS

We established the Liberty Mutual Workplace Safety Index (LMWSI) to provide a reliable annual metric of the leading causes of the most serious workplace injuries in the United States based on direct workers compensation (WC) costs.

RESULTS

More than $600 billion in direct WC costs were spent on the most disabling compensable non-fatal injuries and illnesses in the United States from 1998 to 2010. The burden in 2010 remained similar to the burden in 1998 in real terms. The categories of overexertion ($13.6B, 2010) and fall on same level ($8.6B, 2010) were consistently ranked 1st and 2nd.

PRACTICAL APPLICATION

The LMWSI was created to establish the relative burdens of events leading to work-related injury so they could be better recognized and prioritized. Such a ranking might be used to develop research goals and interventions to reduce the burden of workplace injury in the United States.

Mortality and Readmission After Cervical Fracture from a Fall in Older Adults: Comparison with Hip Fracture Using National Medicare Data

OBJECTIVES

To examine the prevalence of cervical spine fractures after falls in older Americans, to show changes in recent years, and to compare 12-month outcomes between individuals with cervical and hip fracture after falls.

DESIGN

Retrospective study of Medicare data from 2007 to 2011.

SETTING

Acute care hospitals.

PARTICIPANTS

Individuals aged 65 and older with cervical or hip fracture after a fall.

MEASUREMENTS

Cervical fracture rate, 12-month mortality, and readmission rate after injury.

RESULTS

Rates of cervical fracture increased from 4.6 per 10,000 in 2007 to 5.3 per 10,000 in 2011; rates of hip fracture decreased from 77.3 per 10,000 in 2007 to 63.5 per 10,000 in 2011. Participants with cervical fracture with and without spinal cord injury (SCI) were more likely than those with hip fracture to receive treatment at large hospitals (59.4% and 54.1% vs 28.1%, P < .001), teaching hospitals (49.3% and 40.0% vs 13.4%, P < .001), and regional trauma centers (46.3% and 38.5% vs 13.0%, P < .001). Participants with cervical fracture without (24.7%) and with SCI (41.7%) had greater risk-adjusted mortality at 1 year than those with hip fracture (22.7%) (P < .001). By 1 year, 73.4% of participants with cervical fracture with and 59.5% without SCI and 59.3% of those with hip fracture had died or were readmitted to the hospital (P < .001).

CONCLUSION

Cervical spinal fractures occur in one of every 2,000 Medicare beneficiaries annually and appear to be increasing over time. Participants with cervical fracture had greater mortality than those with hip fracture. Given the increasing prevalence and the poor outcomes in this population, hospitals need to develop processes to improve care for these vulnerable individuals.

Variation in Computed Tomography Imaging for Pediatric Injury-Related Emergency Visits

OBJECTIVE

To assess variation in the use of computed tomography (CT) for pediatric injury-related emergency department (ED) visits.

STUDY DESIGN

This was a retrospective cohort study of visits to 14 network-affiliated EDs from November 2010 through February 2013. Visits were identified by International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Primary outcome was CT use. We used descriptive statistics and performed multivariable logistic regression to evaluate the association of patient and ED covariates on any and body region-specific CT use.

RESULTS

Of the 80 868 injury-related visits, 11.4% included CT, and 28.4% of those involved more than 1 CT. Across EDs, CT use ranged from 7.6% to 25.5% of visits and did not correlate with institutional Injury Severity Score (P = .33) or admission/transfer rates (P = .07). In multivariable analysis of nonpediatric EDs, trauma centers and nonacademic EDs were associated with CT use. Higher pediatric volume was associated with any CT use; however, there was an inverse relationship between volume and nonhead CT use. When the pediatric ED was included in multivariable modeling, the effect of level 1-3 trauma center designation remained, and the pediatric level 1 trauma center was less likely to use most body region-specific CTs.

CONCLUSION

There is wide variation in CT imaging for pediatric injury-related visits not attributable solely to case mix. Future work to optimize CT utilization should focus on additional factors contributing to imaging practices and interventions.

Linkage and concordance of Trauma Registry and hospital discharge records: lessons for occupational injury surveillance and research

OBJECTIVE

Occupational injury researchers typically use payer to identify work-related injuries in hospital discharge records. Many trauma registries contain a work-related field, independent of payer. Linked trauma registry and hospital discharge records were used to assess data field concordance and to assess the validity of using payer or external cause of injury (E-codes) to identify work-related injuries.

METHODS

Washington State Trauma Registry records were linked to hospital discharges (year 2009).

RESULTS

There was substantial agreement between Washington State Trauma Registry and hospital discharge records for workers' compensation as primary payer. E-code based methods of identifying occupational injuries had high specificity (more than 99%) but low sensitivity (less than 14%). Payer was 76% sensitive and 98% specific.

CONCLUSIONS

This study found substantial agreement for data fields key to occupational injury surveillance and research. Nevertheless, many work-related injuries could not be identified using hospital discharge records.

Does the year-end decline in injury risk reflect reporting error?

BACKGROUND

Relatively little is known about seasonal patterns in occupational injury risk. Injury risk may vary seasonally due to weather-related factors or changing work exposure. Employer confusion about recordkeeping rules and injury occurrence near year end may also lead to an undercount of year-end injuries.

METHODS

Case records from the Bureau of Labor Statistics' Survey of Occupational Injuries and Illnesses and Census of Fatal Occupational Injuries were used to determine seasonality for a variety of injury types.

RESULTS

Reported injury rates were higher in summer and lower at year end. Difficult-to-identify injuries showed greater year-end incidence declines.

CONCLUSIONS

End-of-year injury declines may have reflected reporting errors for some injury types. The summertime increase in injury risk was broad-based and presumably reflected real seasonal factors.

Occupational injury trends derived from trauma registry and hospital discharge records: lessons for surveillance and research

OBJECTIVE

The suitability of the Washington State Trauma Registry (WTR) for occupational injury surveillance was assessed via comparing estimated rates and trends with those derived from state hospital discharge data.

METHODS

Descriptive methods and negative binomial regression were used to model occupational injury trends (1998 to 2009).

RESULTS

Nonlinear trends based on WTR data closely tracked those based on hospital discharge data, beginning about 2002. Rate estimates differed somewhat by data source and were most similar when a severity threshold was applied. Conclusions regarding temporal trends in work-related injury rates were the same using either data source.

CONCLUSIONS

This study found substantial similarity between occupational injury trends estimated using either WTR or hospital discharge data. We conclude that a mature state trauma registry with mandatory reporting requirements can be used for surveillance of severe work-related traumatic injuries.

Twenty years of workers' compensation costs due to falls from height among union carpenters, Washington state

BACKGROUND

Falls from height (FFH) are a longstanding, serious problem in construction.

METHODS

We report workers' compensation (WC) payments associated with FFH among a cohort (n = 24,830; 1989-2008) of carpenters. Mean/median payments, cost rates, and adjusted rate ratios based on hours worked were calculated using negative-binomial regression.

RESULTS

Over the 20-year period FFH accounted for $66.6 million in WC payments or $700 per year for each full-time equivalent (2,000 hr of work). FFH were responsible for 5.5% of injuries but 15.1% of costs. Cost declines were observed, but not monotonically. Reductions were more pronounced for indemnity than medical care. Mean costs were 2.3 times greater among carpenters over 50 than those under 30; cost rates were only modestly higher.

CONCLUSIONS

Significant progress has been made in reducing WC payments associated with FFH in this cohort particularly through 1996; primary gains reflect reduction in frequency of falls. FFH that occur remain costly.

Variation in emergency department head computed tomography use for pediatric head trauma

OBJECTIVES

The objectives were to evaluate general emergency department (ED) variation in head computed tomography (CT) use for pediatric head trauma, hospital factors associated with CT use, and recent secular trends in CT utilization for pediatric head trauma.

METHODS

This was a cross-sectional study of a sample of general EDs in the Nationwide Emergency Department Sample (NEDS; 2006-2010). The authors included visits by patients <19 years of age with International Classification of Diseases, 9th Revision, Clinical Modification, diagnosis codes for head trauma and determined head CT use via Current Procedural Terminology (CPT), Fourth Edition, codes. Crude and risk-adjusted proportions of visits with CT for each hospital were calculated using multilevel mixed effects logistic regression. The association between hospital-level characteristics and head CT were evaluated by constructing multivariable negative binomial regression models.

RESULTS

There were 324,435 pediatric head trauma visits to 848 EDs in the sample. Median patient age was 8 years (interquartile range [IQR] = 2 to 15 years) and 62% of visits were by males. A minority of patients (0.7%) were severely injured, and only 4.2% were admitted to the hospital. Most EDs (79%) were nonteaching institutions, and 84% were nontrauma centers. Risk-adjusted median CT use was 56.0% (IQR = 46.4% to 64.7%). In multivariate analysis, nontrauma centers were 9% (95% confidence interval [CI] = 4% to 15%) less likely to use head CT for pediatric head trauma patients and among discharged patients, EDs within nonteaching hospitals were 8% more likely to perform CT imaging (95% CI = 2% to 14%). There was no change in CT use from 2006 through 2010 (p = 0.31).

CONCLUSIONS

There is significant variability among general EDs in CT use for pediatric head trauma, indicating the need for strategies to reduce variation and improve ED imaging practices for this population.

Using injury severity to improve occupational injury trend estimates

BACKGROUND

Hospitalization-based estimates of trends in injury incidence are also affected by trends in health care practices and payer coverage that may differentially impact minor injuries. This study assessed whether implementing a severity threshold would improve occupational injury surveillance.

METHODS

Hospital discharge data from four states and a national survey were used to identify traumatic injuries (1998-2009). Negative binomial regression was used to model injury trends with/without severity restriction, and to test trend divergence by severity.

RESULTS

Trend estimates were generally biased downward in the absence of severity restriction, more so for occupational than non-occupational injuries. Restriction to severe injuries provided a markedly different overall picture of trends.

CONCLUSIONS

Severity restriction may improve occupational injury trend estimates by reducing temporal biases such as increasingly restrictive hospital admission practices, constricting workers' compensation coverage, and decreasing identification/reporting of minor work-related injuries. Injury severity measures should be developed for occupational injury surveillance systems.

Variation in pediatric traumatic brain injury outcomes in the United States

OBJECTIVE

To ascertain the degree of variation, by state of hospitalization, in outcomes associated with traumatic brain injury (TBI) in a pediatric population.

DESIGN

A retrospective cohort study of pediatric patients admitted to a hospital with a TBI.

SETTING

Hospitals from states in the United States that voluntarily participate in the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project.

PARTICIPANTS

Pediatric (age ≤ 19 y) patients hospitalized for TBI (N=71,476) in the United States during 2001, 2004, 2007, and 2010.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Primary outcome was proportion of patients discharged to rehabilitation after an acute care hospitalization among alive discharges. The secondary outcome was inpatient mortality.

RESULTS

The relative risk of discharge to inpatient rehabilitation varied by as much as 3-fold among the states, and the relative risk of inpatient mortality varied by as much as nearly 2-fold. In the United States, approximately 1981 patients could be discharged to inpatient rehabilitation care if the observed variation in outcomes was eliminated.

CONCLUSIONS

There was significant variation between states in both rehabilitation discharge and inpatient mortality after adjusting for variables known to affect each outcome. Future efforts should be focused on identifying the cause of this state-to-state variation, its relationship to patient outcome, and standardizing treatment across the United States.