Post-trauma morbidity, measured as sick leave, is substantial and influenced by factors unrelated to injury: a retrospective matched observational cohort study

Post-injury long-term sickness absence and risk of disability pension: The role of socioeconomic status

INTRODUCTION

Previous research has identified low socioeconomic status (SES) as a risk factor for long-term sickness absence (LTSA) and disability pension (DP) following trauma. However, most studies lack information on medical diagnoses, limiting our understanding of the underlying factors. To address this gap, we retrieved information about diagnostic causes for receipt of welfare benefits to explore the role of SES in the transition from post-injury LTSA to permanent DP among the working population in Norway.

MATERIALS AND METHODS

We conducted a population-based cohort study of all Norwegian residents aged 25-59 years registered with a spell of LTSA due to injury commencing in the period 2000-2003. This cohort was followed through 2014 by linking information on receipt of welfare benefits with sociodemographic data from administrative registers. SES was defined as a composite measure of educational attainment and income level. We used flexible parametric survival models to estimate hazard ratios (HR) with 95 % confidence intervals (CI) for all-cause and diagnosis-specific DP according to SES, adjusting for sex, age, marital status, immigrant status and healthcare region of residence.

RESULTS

Of 53,937 adults with post-injury LTSA, 9,665 (18 %) transferred to DP during follow-up. The crude risk of DP was highest for LTSA spells due to poisoning and head injuries. Overall, individuals in the lowest SES category had twice the risk of DP compared to those in the highest SES category (HR = 2.25, 95 % CI 2.13-2.38). The difference by SES was greatest for LTSA due to poisoning and smallest for LTSA due to head injuries. A majority (75 %) of DP recipients had a non-injury diagnosis as the primary cause of DP. The socioeconomic gradient was more pronounced for non-injury causes of DP (HR = 2.47, 95 % CI 2.31-2.63) than for injury causes (HR = 1.73, 95 % CI 1.56-1.92) and was especially steep for DP due to musculoskeletal diseases and mental and behavioural disorders.

CONCLUSIONS

The relationship between SES and DP varied by both the type of injury that caused LTSA and the diagnosis used to grant DP, highlighting the importance of taking diagnostic information into account when investigating long-term consequences of injuries.

FROST 2.0: Factors Predicting Orthopaedic Trauma Volumes - A Validation Study

The anecdotal relationship between weather, season, and orthopaedic trauma volumes is understood by patients and healthcare providers: when the winter ground is icy, people fall. Previous research established that winter and summer months as well as ice and snow were significant predictors of orthopaedic trauma and surges in volumes. The current study validates the previously established predictive model in one Canadian city; the original methods were repeated using a new, yet geographically similar dataset. The effect of month and ice were consistent, which suggests the proposed model has sufficient external validity to guide resource allocation and primary prevention strategies.

Association of Trauma With Long-Term Risk of Death and Immune-Mediated or Cancer Disease in Same-Sex Twins

Importance

Immediate consequences of trauma include a rapid and immense activation of the immune system, whereas long-term outcomes include premature death, physical disability, and reduced workability.

Objective

To investigate if moderate to severe trauma is associated with long-term increased risk of death or immune-mediated or cancer disease.

Design, Setting, and Participants

This registry-based, matched, co-twin control cohort study linked the Danish Twin Registry and the Danish National Patient Registry to identify twin pairs in which 1 twin had been exposed to severe trauma and the other twin had not from 1994 to 2018. The co-twin control design allowed for matching on genetic and environmental factors shared within twin pairs.

Exposure

Twin pairs were included if 1 twin had been exposed to moderate to severe trauma and the other twin had not (ie, co-twin). Only twin pairs where both twins were alive 6 months after the trauma event were included.

Main Outcome and Measure

Twin pairs were followed up from 6 months after trauma until 1 twin experienced the primary composite outcome of death or 1 of 24 predefined immune-mediated or cancer diseases or end of follow-up. Cox proportional hazards regression was used for intrapair analyses of the association between trauma and the primary outcome.

Results

A total of 3776 twin pairs were included, and 2290 (61%) were disease free prior to outcome analysis and were eligible for the analysis of the primary outcome. The median (IQR) age was 36.4 (25.7-50.2) years. The median (IQR) follow-up time was 8.6 (3.8-14.5) years. Overall, 1268 twin pairs (55%) reached the primary outcome; the twin exposed to trauma was first to experience the outcome in 724 pairs (32%), whereas the co-twin was first in 544 pairs (24%). The hazard ratio for reaching the composite outcome was 1.33 (95% CI, 1.19-1.49) for twins exposed to trauma. Analyses of death or immune-mediated or cancer disease as separate outcomes provided hazard ratios of 1.91 (95% CI, 1.68-2.18) and 1.28 (95% CI, 1.14-1.44), respectively.

Conclusion and Relevance

In this study, twins exposed to moderate to severe trauma had significantly increased risk of death or immune-mediated or cancer disease several years after trauma compared with their co-twins.

Discharge from the trauma centre: exposure to opioids, unmet information needs and lack of follow up-a qualitative study among physical trauma survivors

Background

Physical trauma is associated with mortality, long-term pain and morbidity. Effective pain management is fundamental in trauma care and opioids are indispensable for treating acute pain; however, the use and misuse of prescribed opioids is an escalating problem. Despite this, few studies have been directed towards trauma patients in an early phase of rehabilitation with focusing on experiences and perspectives of health and recovery including pain and persistent use of prescribed opioids with abuse potential. To explore pre- and post-discharge trauma care experiences, including exposure to opioids, physical trauma survivors were recruited from a major trauma centre in Norway that provides the highest level of surgical trauma care.

Method

Qualitative exploratory study. Individual semi-structured interviews were conducted among 13 trauma patients with orthopedic injuries, known to be associated with severe pain, six weeks post-discharge. The interviews were recorded, transcribed verbatim, and thematically analyzed with an interdisciplinary approach.

Results

The overarching theme was that discharge from the trauma centre and the period that immediately followed were associated with feelings of insecurity. The three main themes that were identified as contributing to this was (a) unmet information needs about the injury, (b) exposure to opioids, and (c) lack of follow-up after discharge from the hospital. Participants experienced to be discharged with prescribed opioids, but without information about their addictive properties or tapering plans. This, and lack of attention to mental health and psychological impact of trauma, gave rise to unmet treatment needs of pain management and mental health problems during hospitalization and following discharge.

Conclusion

The findings from this study suggest that in addition to delivery of high-quality biomedical trauma care, health professionals should direct more attention to psychosocial health and safe pain management, including post-discharge opioid tapering and individually tailored follow-up plans for physical trauma survivors.

The self-assessment INTERMED predicts healthcare and social costs of orthopaedic trauma patients with persistent impairments

Objective:

To use the self-assessment INTERMED questionnaire to determine the relationship between biopsychosocial complexity and healthcare and social costs of patients after orthopaedic trauma.

Design:

Secondary prospective analysis based on the validation study cohort of the self-assessment INTERMED questionnaire.

Setting:

Inpatients orthopaedic rehabilitation with vocational aspects.

Subjects:

In total, 136 patients with chronic pain and impairments were included in this study: mean (SD) age, 42.6 (10.7) years; 116 men, with moderate pain intensity (51/100); suffering from upper (n = 55), lower-limb (n = 51) or spine (n = 30) pain after orthopaedic trauma; with minor or moderate injury severity (severe injury for 25).

Main measures:

Biopsychosocial complexity, assessed with the self-assessment INTERMED questionnaire, and other confounding variables collected prospectively during rehabilitation. Outcome measures (healthcare costs, loss of wage costs and time for fitness-to-work) were collected through insurance files after case settlements. Linear multiple regression models adjusted for age, gender, pain, trauma severity, education and employment contract were performed to measure the influence of biopsychosocial complexity on the three outcome variables.

Results:

High-cost patients were older (+3.6 years) and more anxious (9.0 vs 7.3 points at HADS-A), came later to rehabilitation (+105 days), and showed higher biopsychosocial complexity (+3.2 points). After adjustment, biopsychosocial complexity was significantly associated with healthcare (ß = 0.02; P = 0.003; exp^ß = 1.02) and social costs (ß = 0.03; P = 0.006, exp^ß = 1.03) and duration before fitness-to-work (ß = 0.04; P < 0.001, exp^ß = 1.04).

Conclusion:

Biopsychosocial complexity assessed with the self-assessment INTERMED questionnaire is associated with higher healthcare and social costs.

Reduced Recovery Capacity After Major Trauma in the Elderly: Results of a Prospective Multicenter Registry-Based Cohort Study

AIMS

Considering the worldwide trend of an increased lifetime, geriatric trauma is moving into focus. Trauma is a leading cause of hospitalization, leading to disability and mortality. The purpose of this study was to compare the global health-related quality of life (HRQoL) of geriatric patients with adult patients after major trauma.

METHODS

This multicenter prospective registry-based observational study compares HRQoL of patients aged ≥65 years who sustained major trauma (Injury Severity Score (ISS) ≥ 16) with patients <65 years of age within the trauma registry of the German Trauma Society (DGU). The global HRQoL was measured at 6, 12, and 24 months post trauma using the EQ-5D-3L score.

RESULTS

We identified 405 patients meeting the inclusion criteria with a mean ISS of 25.6. Even though the geriatric patients group (≥65 years, n = 77) had a lower ISS (m = 24, SD = 8) than patients aged <65 years (n = 328), they reported more difficulties in each EQ dimension compared to patients <65 years. Contrary to patients < 65, the EQ-5D Index of the geriatric patients did not improve at 12 and 24 months after trauma.

CONCLUSIONS

We found a limited HRQoL in both groups after major trauma. The group of patients ≥65 showed no improvement in HRQoL from 6 to 24 months after trauma.

Sickness absence, disability pension and permanent medical impairment among 64 000 injured car occupants of working ages: A two-year prospective cohort study

OBJECTIVE

There is a lack of knowledge regarding sickness absence (SA) and disability pension (DP) as consequences of road traffic injuries, and on the association between DP and permanent medical impairment (PMI). Therefore, the aim of this study was to investigate SA, DP, and PMI among injured passenger car occupants two years after a crash, and how they are associated, accounting for sociodemographics, crash-related factors, and previous SA/DP.

METHODS

This prospective cohort study included 64 007 injured car occupants aged 17-62 years at the time of a crash occurring in 2001-2013, involving a car insured at Folksam Insurance Group in Sweden. Information on sociodemographics, crash-related factors, SA (in SA spells >14 days) and DP status at inclusion and at two-year follow-up, and PMI assessed by the insurance company was used. PMI grades were categorized as 1-4, 5-9, 10-19, or >19%. Logistic regression was performed to calculate odds ratios (OR) with 95% confidence intervals (CI) for DP at follow-up and for PMI, respectively.

RESULTS

At the time of the crash 13% were already on SA or DP. At follow-up two years after the crash, 6% among those not already on SA/DP at the time of the crash were on SA and 2% on DP. Furthermore, 8% of the total cohort had a determined PMI. Among those not already on DP at the crash, 3% with no PMI had DP at follow-up. This proportion was higher the higher PMI grade. Among individuals without already ongoing DP at the crash date, 10% of those with a PMI 1-4 ha d DP, compared to 76% among PMI ≥ 20. Already ongoing SA at the time of the crash (OR = 39.16, 95% CI 34.89-43.95) and PMI grade (PMI ≥ 5 OR = 27.44, 95% CI 23.88-31.52, reference group PMI 0) were found to be associated with DP at two years after crash. The factor most strongly associated with PMI was the model year of the car. The older the car, the higher the risk of PMI (Model year ≤ 1990 OR = 3.36, 95% CI 2.67-4.23, reference group model year 2006-2010). An association with the same direction was also found between the model year of the car and DP at follow-up.

CONCLUSIONS

The association between PMI grade and DP status at follow-up among occupants not on DP at the crash date indicates that both could be used to measure long-term consequences of road traffic injury. In this cohort, already ongoing SA at the crash date was associated with DP at the two-year follow-up, emphasizing the importance of accounting for this factor in future research.

Predicting prolonged sick leave among trauma survivors

Many survivors after trauma suffer from long-term morbidity. The aim of this observational cohort study was to develop a prognostic prediction tool for early assessment of full-time sick leave one year after trauma. Potential predictors were assessed combining individuals from a trauma register with national health registers. Two models were developed using logistic regression and stepwise backward elimination. 4458 individuals were included out of which 488 were on sick leave full-time 12 months after the trauma. One comprehensive and one simplified model were developed including nine and seven predictors respectively. Both models showed excellent discrimination (AUC 0.81). The comprehensive model had very good calibration, and the simplified model good calibration. Prediction models can be used to assess post-trauma sick leave using injury-related variables as well as factors not related to the trauma per se. Among included variables, pre-injury sick leave was the single most important predictor for full-time sick leave one year after trauma. These models could facilitate a more efficient use of resources, targeting groups for follow-up interventions to improve outcome. External validation is necessary in order to evaluate generalizability.

Population-based analysis of the impact of trauma on longer-term functional outcomes

BACKGROUND

Functional outcome measures are important as most patients survive trauma. The aim of this study was to describe the long-term impact of trauma within a healthcare region from a social perspective.

METHODS

People active in work or education and admitted to hospitals in Central Norway in the interval 1 June 2007 to 31 May 2010 after sustaining trauma were included in the study. Clinical data were linked to Norwegian national registers of cause of death, sickness and disability benefits, employment and education. Primary outcome measures were receipt of medical benefits and time to return to preinjury work level. Secondary outcome measures were mortality within 30 days or during follow-up.

RESULTS

Some 1191 patients were included in the study, of whom 193 (16·2 per cent) were severely injured (Injury Severity Score greater than 15). Five years after injury, the prevalence of medical benefits was 15·6 per cent among workers with minor injuries, 22·3 per cent in those with moderate injuries and 40·5 per cent among workers with severe injuries. The median time after injury until return to work was 1, 4 and 11 months for patients with minor, moderate and severe injuries respectively. Twelve patients died within 30 days and an additional 17 (1·4 per cent) during follow-up.

CONCLUSION

Patients experiencing minor or major trauma received high levels of medical benefits; however, most recovered within the first year and resumed preinjury work activity. Patients with severe trauma were more likely to receive medical benefits and have a delayed return to work. Registration number: NCT02602405 (http://www.clinicaltrials.gov).