Physical effects of trauma and the psychological consequences of preexisting diseases account for a significant portion of the health-related quality of life patterns of former trauma patients

Mental and Physical Health-Related Quality of Life Following Military Polytrauma

INTRODUCTION

The long-term impact of deployment-related trauma on mental and physical health-related quality of life (HRQoL) among military personnel is not well understood. We describe the mental and physical HRQoL among military personnel following deployment-related polytrauma after their discharge from the hospital and examine factors associated with HRQoL and longitudinal trends.

MATERIALS AND METHODS

The U.S. military personnel with battlefield-related trauma enrolled in the Trauma Infectious Diseases Outcomes Study were surveyed using SF-8 Health Surveys at 1 month post-discharge (baseline) and at follow-up intervals over 2 years. Inclusion in the longitudinal analysis required baseline SF-8 plus responses during early (3 and/or 6 months) and later follow-up periods (12, 18, and/or 24 months). Associations of demographics, injury characteristics, and hospitalization with baseline SF-8 scores and longitudinal changes in SF-8 scores during follow-up were examined. Survey responses were used to calculate the Mental Component Summary score (MCS) and the Physical Component Summary score (PCS). The MCS focuses on vitality, mental health, social functioning, and daily activity limitations, whereas PCS is related to general health, bodily pain, physical functioning, and physical activity limitations. Longitudinal trends in SF-8 scores were assessed using chi-square tests by comparing the median score at each timepoint to the median 1-month (baseline) score, as well as comparing follow-up scores to the immediately prior timepoint (e.g., 6 months vs. 3 months). Associations with the 1-month baseline SF-8 scores were assessed using generalized linear regression modeling and associations with longitudinal changes in SF-8 were examined using generalized linear regression modeling with repeated measures.

RESULTS

Among 781 enrollees, lower baseline SF-8 total scores and PCS were associated with spinal and lower extremity injuries (P < .001) in the multivariate analyses, whereas lower baseline MCS was associated with head/face/neck injuries (P < .001). Higher baseline SF-8 total was associated with having an amputation (P = .009), and lower baseline SF-8 total was also associated with sustaining a traumatic brain injury (TBI; P = .042). Among 524 enrollees with longitudinal follow-up, SF-8 scores increased, driven by increased PCS and offset by small MCS decreases. Upward SF-8 total score and PCS trends were associated with time post-hospital discharge and limb amputation (any) in the multivariate analyses (P < .05), whereas downward trends were independently associated with spinal injury and developing any post-discharge infection (P ≤ .001). Patients with lower extremity injuries had lower-magnitude improvements in PCS over time compared to those without lower extremity injuries (P < .001). Upward MCS trend was associated with higher injury severity (P = .003) in the multivariate analyses, whereas downward trends were independently associated with having a TBI (P < .001), time post-hospital discharge (P < .001), and occurrence of post-discharge infections (P = .002).

CONCLUSIONS

Overall, HRQoL increased during the 2-year follow-up period, driven by PCS improvement. Increasing HRQoL was associated with time since hospital discharge and limb amputation, whereas a downward trend in HRQoL was associated with spinal injury and post-discharge infection. The longitudinal decline in MCS, driven by TBI occurrence, time since hospital discharge, and developing post-discharge infections, emphasizes the importance of longitudinal mental health care in this population.

Community of trauma care partnering with stakeholders to improve injury outcomes: focus group analysis

Introduction

Engaging trauma survivors/caregivers results in research findings that are more relevant to patients' needs and priorities. Although their perspectives increase research significance, there is a lack of understanding about how best to incorporate their insights. We aimed to capture stakeholder perspectives to ensure research is meaningful, respectful, and relevant to the injured patient and their caregivers.

Methods

A multiphase, inductive exploratory qualitative study was performed, the first phase of which is described here. Virtual focus groups to elicit stakeholder perspectives and preferences were conducted across 19 trauma centers in the USA during 2022. Discussion topics were chosen to identify patients' motivation to join research studies, preferences regarding consent, suggestions for increasing diversity and access, and feelings regarding outcomes, efficacy, and exception from informed consent. The focus groups were audio recorded, transcribed, coded, and analyzed to identify the range of perspectives expressed and any common themes that emerged.

Results

Ten 90-minute focus groups included patients/caregiver (n=21/1) and researchers (n=14). Data analysis identified common themes emerging across groups. The importance of trust and preexisting relationships with the clinical care team were the most common themes across all groups.

Conclusion

Our findings reveal common themes in preferences, motivations, and best practices to increase patient/caregiver participation in trauma research. The project's next phases are distribution of a vignette-based survey to establish broad stakeholder consensus; education and dissemination activities to share strategies that increase research engagement and relevance for patients; and the formation of a panel of patients to support future research endeavors.

Level of evidence

Level IV.

Main factors predicting somatic, psychological, and cognitive patient outcomes after significant injury: a pilot study of a simple prognostic tool

Background

There are still insufficient data on the complexity and predictability of patient-related outcomes following trauma. The aim of this study was to assess longer-term outcomes in patients with significant injury and to develop a simple scoring method to identify patients at high risk of subsequent deficits 1–2 years after injury.

Methods

We conducted a prospective cohort study of survivors of significant injury (New Injury Severity Score, NISS greater than or equal to 8), with analysis of patients’ 1- to 2-year health-related quality of life (HRQoL) and their functional outcomes based on Short Form-36 (SF-36), Trauma Outcome Profile (TOP), and Quality Of Life after Brain Injury (QOLIBRI). Documented variables suspected or known from the literature to be possible factors associated with outcome were first analysed by univariate analysis, and significant variables were entered into a stepwise logistic regression analysis. Scores predicting longer-term impaired outcome were constructed from risk factors resulting from multivariate analysis.

Results

Depending on the patient-reported outcome measure (PROM) used, up to 30 per cent of 1052 study patients (mean NISS 18.6) indicated somatic, 27 per cent psychological, and 54 per cent cognitive deficits. The investigated sociodemographic, injury-related, treatment, and early hospital outcome variables demonstrated only low associations with longer-term outcome in univariate analysis that were highest for preinjury pain or function (R = 0.4) and outcome at hospital discharge (R = 0.3). After logistic regression, the study variables explained a maximum variance of 23 per cent for somatic, 11 per cent for psychological, and 14 per cent for cognitive longer-term outcomes. The resulting Aarau trauma prognostic longer-term outcome scoring (ATPLOS) system, developed by checking eight risk factors, had a specificity of up to 80 per cent, and importantly may facilitate early detection of patients at risk of a poorer longer-term outcome.

Conclusion

Despite the high rate of deficits recorded for survivors of significant injury, particularly in loss of cognitive function, the multiple variables analysed only led to a limited characterization of patient-related longer-term outcomes. Until more is known about additional individual influencing factors, the proposed scoring system may serve well for clinical evaluation.

Registration number

NCT 02165137 (http://www.clinicaltrials.gov)

Participant retention in trauma intensive care unit (ICU) follow-up studies: a post-hoc analysis of a previous scoping review

Background

The study aimed to synthesize participant retention-related data for longitudinal follow-up studies of survivors from trauma intensive care units (ICUs).

Methods

Within a published scoping review evaluating ICU patient outcomes after hospital discharge, two screeners independently searched for trauma ICU survivorship studies.

Results

There were 11 trauma ICU follow-up studies, all of which were cohort studies. Twelve months (range: 1–60 months) was the most frequent follow-up time point for assessment (63% of studies). Retention rates ranged from 54% to 94% across time points and could not be calculated for two studies (18%). Pooled retention rates at 3, 6, and 12 months were 75%, 81%, and 81%, respectively. Mean patient age (OR 0.85 per 1-year increase, 95% CI 0.73 to 0.99, p=0.036), percent of men (OR 1.07, 95% CI 1.04 to 1.10, p=0.002), and publication year (OR 0.89 per 1-year increase, 95% CI 0.82 to 0.95, p=0.007) were associated with retention rates. Early (3-month) versus later (6-month, 12-month) follow-up time point was not associated with retention rates.

Discussion

Pooled retention rates were >75%, at 3-month, 6-month, and 12-month time points, with wide variability across studies and time points. There was little consistency with reporting participant retention methodology and related data. More detailed reporting guidelines, with better author adherence, will help improve reporting of participant retention data. Utilization of existing research resources may help improve participant retention.

Level of evidence

Level III: meta-analyses (post-hoc analyses) of a prior scoping review.

A systematic review of studies measuring health-related quality of life of general injury populations: update 2010-2018

Background

Studies examining the impact of injury on health-related quality of life (HRQL) over time are necessary to understand the short- and long-term consequences of injury for population health. The aim of this systematic review was to provide an evidence update on studies that have measured HRQL over time in general injury populations using a generic (general) health state measure.

Methods

Studies conducted between 2010 and 2018 that assessed HRQL at more than one time point among general injury populations were eligible for inclusion. Two reviewers independently extracted information from each study on design, HRQL measure used, method of HRQL measure administration, timing of assessment(s), predictive variables, ability to detect change, and findings. Quality appraisals of each study were also completed by two reviewers using items from the RTI Item Bank on Risk of Bias and Precision of Observational Studies and the Guidelines for the Conduction of Follow-up Studies Measuring Injury-Related Disability.

Results

Twenty-nine studies (44 articles) that met the inclusion criteria were identified. HRQL was measured using 14 different generic measures; the SF-36, SF-12, and EQ-5D were used most frequently. A varying number of follow-up assessments were undertaken, ranging from one to five. Follow-up often occurred 12 months post-injury. Fewer studies (n = 11) examined outcomes two or more years post-injury, and only one to 10 years post-injury. While most studies documented improvements in HRQL over time since the injury event, study populations had not returned to pre-injury status or reached general population norm HRQL values at post-injury follow-ups.

Conclusions

Since 2010 there has been a substantial increase in the number of studies evaluating the HRQL of general injury populations. However, significant variability in study design continues to impede quantification of the impact of injury on population health over time. Variation between studies is particularly evident with respect to timing and number of follow-up assessments, and selection of instruments to evaluate HRQL.

Perceived loss of social support after non-neurologic injury negatively impacts recovery

BACKGROUND

Traumatic injury is not only physically devastating, but also psychologically isolating, potentially leading to poor quality of life, depression and posttraumatic stress disorder (PTSD). Perceived social support (PSS) is associated with better outcomes in some populations. What is not known is if changes in PSS influence long-term outcomes following nonneurologic injury. We hypothesized that a single drop in PSS during recovery would be associated with worse quality of life.

METHODS

This is a post hoc analysis of a prospectively collected database that included patients 18 years or older admitted to a Level I trauma center with Injury Severity Score (ISS) of 10 or higher, and no traumatic brain or spinal cord injury. Demographic and injury data were collected at the initial hospital admission. Screening for depression, PTSD, and Medical Outcomes Study Short Form 36 Mental Composite Score (MCS) were obtained at the initial hospitalization, 1, 2, 4, and 12 months postinjury. The Multidimensional Scale of Perceived Social Support (MSPSS) was obtained at similar time points. Patients with high MSPSS (>5) at baseline were included and grouped by those that ever reported a score ≤5 (DROP), and those that remained high (STABLE). Outcomes were determined at 4 and 12 months.

RESULTS

Four hundred eleven patients were included with 96 meeting DROP criteria at 4 months, and 97 at 1 years. There were no differences in sex, race, or injury mechanism. The DROP patients were more likely to be single (p = 0.012 at 4 months, p = 0.0006 at 1 year) and unemployed (p = 0.016 at 4 months, and p = 0.026 at 1 year) compared with STABLE patients. At 4 months and 1 year, DROP patients were more likely to have PTSD, depression, and a lower MCS (p = 0.0006, p < 0.0001).

CONCLUSION

Patients who have a drop in PSS during the first year of recovery have significantly higher odds of poor psychological outcomes. Identifying these socially frail patients provides an opportunity for intervention to positively influence an otherwise poor quality of life.

LEVEL OF EVIDENCE

Therapeutic, Prognostic and Epidemiological, Level III.

A new global health outcome score after trauma (GHOST) for disability, cognitive impairment, and health-related quality of life: data from a prospective cross-sectional observational study

Background:Trauma patients experience morbidity related to disability and cognitive impairment that negatively impact their health-related quality of life (HRQoL). We assessed the impact of trauma on disability, cognitive impairment and HRQoL after intensive care in patients with and without traumatic brain injury (TBI) and created a predictive score to identify patients with worse outcome. Methods:We identified 262 patients with severe trauma (ISS>15) admitted to the emergency room of a level 1 trauma center. Patients above 13 years were included. After 6 months, patients were assessed for disability, cognitive impairment, and HRQoL. A global health outcome score after trauma (GHOST) was obtained through the combination of these domains. Logistic regression analysis was considered for the effect of demographic, trauma and hospital factors on global outcome. p > 0.05. Statistics performed with SPSS 23.0. Results:Patients with the worst outcomes were older and had a longer length of Intensive Care Unit (ICU) stay. The effect of gender was found in all "GHOST dimensions". TBI was not significantly associated with worse outcome. Conclusions:No significant differences were seen on disability, cognitive impairment and decreased HRQoL in patients with or without TBI. Our GHOST score showed that female gender, older age, and longer ICU stay were significantly associated with the worst outcome. Abbreviations: AIS: Abbreviated Injury Scale; EQ-5D: EuroQol 5-dimensions; EQ-5D-3L: EuroQol 5-dimensions 3-levels; GCS: Glasgow Coma Scale; GOSE: Glasgow Outcome Scale Extended; HRQoL: Health-Related Quality of Life; ICU: Intensive Care Unit; ISS: Injury Severity Score; MMS: Mini Mental State; NICE: National Institute for Health and Care Excellence; RTS: Revised Trauma Score; TBI: Traumatic brain injury; TRISS: Trauma Injury Severity Score; VAS: Visual Analogue Scale.

Prospective evaluation of the Quality of Life after Brain Injury (QOLIBRI) score: minor differences in patients with major versus no or mild traumatic brain injury at one-year follow up

Background

The Quality of Life after Brain Injury (QOLIBRI) score was developed to assess disease-specific health-related quality of life (HRQoL) after traumatic brain injury (TBI). So far, validation studies on the QOLIBRI were only conducted in cohorts with traumatic brain injury. This study investigated the longer-term residuals in severely injured patients, focusing specifically on the possible impact of major TBI.

Methods

In a prospective questionnaire investigation, 199 survivors with an injury severity score (ISS) > 15 participated in one-year follow-up. Patients who had sustained major TBI (abbreviated injury scale, AIS head > 2) were compared with patients who had no or only mild TBI (AIS head ≤ 2). Univariate analysis (ANOVA, Cohen’s kappa, Pearson’s r) and stepwise linear regression analysis (B with 95% CI, R, R²) were used.

Results

The total QOLIBRI revealed no differences in one-year outcomes between patients with versus without major TBI (75 and 76, resp.; p = 0.68). With regard to the cognitive subscore, the group with major TBI demonstrated significantly more limitations than the one with no or mild TBI (p < 0.05). The AIS head correlated significantly with the cognitive dimension of the QOLIBRI (r = − 0.16; p < 0.05), but not with the mental components of the SF-36 or the TOP. In multivariate analysis, the influence of the severity of head injury (AIS head) on total QOLIBRI was weaker than that of injured extremities (R² = 0.02; p < 0.05 vs. R² = 0.04; p = 0.001) and equal to the QOLIBRI cognitive subscore (R² = 0.03, p < 0.01 each).

Conclusions

Given the unexpected result of similar mean QOLIBRI total score values and only minor differences in cognitive deficits following major trauma independently of whether patients sustained major brain injury or not, further studies should investigate whether the QOLIBRI actually has the discriminative capacity to detect specific residuals of major TBI. In effect, the score appears to indicate mental deficits following different types of severe trauma, which should be evaluated in more detail.

Trial registration

NCT02165137; retrospectively registered 11 June 2014.

Psychological morbidity and health-related quality of life after injury: multicentre cohort study

PURPOSE

To demonstrate the impact of psychological morbidity 1 month post-injury on subsequent post-injury quality of life (HRQoL) in a general injury population in the UK to inform development of trauma care and rehabilitation services.

METHODS

Multicentre cohort study of 16-70-year-olds admitted to 4 UK hospitals following injury. Psychological morbidity and HRQoL (EQ-5D-3L) were measured at recruitment and 1, 2, 4 and 12 months post-injury. A reduction in EQ-5D compared to retrospectively assessed pre-injury levels of at least 0.074 was taken as the minimal important difference (MID). Multilevel logistic regression explored relationships between psychological morbidity 1 month post-injury and MID in HRQoL over the 12 months after injury.

RESULTS

A total of 668 adults participated. Follow-up rates were 77% (1 month) and 63% (12 months). Substantial reductions in HRQoL were seen; 93% reported a MID at 1 month and 58% at 12 months. Problems with pain, mobility and usual activities were commonly reported at each time point. Depression and anxiety scores 1 month post-injury were independently associated with subsequent MID in HRQoL. The relationship between depression and HRQoL was partly explained by anxiety and to a lesser extent by pain and social functioning. The relationship between anxiety and HRQoL was not explained by factors measured in our study.

CONCLUSIONS

Hospitalised injuries result in substantial reductions in HRQoL up to 12 months later. Depression and anxiety early in the recovery period are independently associated with lower HRQoL. Identifying and managing these problems, ensuring adequate pain control and facilitating social functioning are key elements in improving HRQoL post-injury.

Health outcome after major trauma: what are we measuring?

Importance

Trauma is a global disease and is among the leading causes of disability in the world. The importance of outcome beyond trauma survival has been recognised over the last decade. Despite this there is no internationally agreed approach for assessment of health outcome and rehabilitation of trauma patients.

Objective

To systematically examine to what extent outcomes measures evaluate health outcomes in patients with major trauma.

Data Sources

MEDLINE, EMBASE, and CINAHL (from 2006–2012) were searched for studies evaluating health outcome after traumatic injuries.

Study selection and data extraction

Studies of adult patients with injuries involving at least two body areas or organ systems were included. Information on study design, outcome measures used, sample size and outcomes were extracted. The World Health Organisation International Classification of Function, Disability and Health (ICF) were used to evaluate to what extent outcome measures captured health impacts.

Results

34 studies from 755 studies were included in the review. 38 outcome measures were identified. 21 outcome measures were used only once and only five were used in three or more studies. Only 6% of all possible health impacts were captured. Concepts related to activity and participation were the most represented but still only captured 12% of all possible concepts in this domain. Measures performed very poorly in capturing concepts related to body function (5%), functional activities (11%) and environmental factors (2%).

Conclusion

Outcome measures used in major trauma capture only a small proportion of health impacts. There is no inclusive classification for measuring disability or health outcome following trauma. The ICF may provide a useful framework for the development of a comprehensive health outcome measure for trauma care.

Quality of life in severely injured patients depends on psychosocial factors rather than on severity or type of injury

BACKGROUND

Former studies have demonstrated that health-related quality of life is decreased in severely injured patients. However, in those studies patients were asked about their functioning and not about their (dis)contentment concerning their functioning. Little is known about how severely injured patients experience their quality of life (QOL). The objective of this cross-sectional study was to measure this subjective QOL of severely injured patients after their rehabilitation phase and to examine which accident- and patient-related factors affect the QOL of these patients.

METHODS

Patients of 18 years or older with an injury severity score (ISS) above 15 were included 15-53 months after their accident. Comorbidity before the accident, accident and sociodemographic characteristics, and QOL were obtained from the trauma registry and questionnaires. The WHOQOL-BREF was used to measure QOL. A reference group of the Dutch general population was used for comparison.

RESULTS

The participation rate was 61% (n=173). Compared with the reference data, severely injured patients experienced a significantly worse QOL in all domains except social relations. The QOL scores were significantly decreased in all domains for patients with intracranial injury in combination with other injuries. Patients with a severe intracranial injury (AIS>3) only reported significantly impaired QOL in the general and physical domains. Patients who resumed working or lived with others had significantly higher scores in all domains of QOL than patients who did not work anymore or were living alone. Significantly lower QOL scores were obtained from patients with comorbidity before the accident and from patients with longer durations of intensive care unit (ICU) treatment or hospitalisation. Gender, accident characteristics and time since the accident did not appear to be important for experienced QOL.

CONCLUSIONS

The experience of impaired QOL appears to depend on living alone, inability to return to work and pre-accidental comorbidity rather than on the injured body area or the severity of the injury. Duration of hospital or ICU stay is important to subsequent QOL, even if ISS or body region is not.

The effect of postinjury depression on quality of life following minor injury

PURPOSE

To describe quality of life (QoL) in the year following minor injury and to test the hypothesis that individuals with depression in the postinjury year experience lower QoL than do individuals with no depression.

DESIGN

Prospective, longitudinal, cohort design. A total of 275 adults were randomly selected from injured patients presenting to an urban emergency department.

METHODS

All participants underwent structured psychiatric diagnostic interviews immediately after injury and at 3, 6, and 12 months. The primary outcome, QoL, was measured using the Quality of Life Index. Covariates included demographics, injury status, preinjury functional status, preinjury social support, and anticipation of problems postdischarge. The General Estimating Equation was used to compare changes in QoL between participants with and without depression over 3, 6, and 12 months, adjusting for covariates.

RESULTS

An 18.1% proportion (95% confidence interval [CI] 13.3, 22.9%) of the sample met criteria for a mood disorder in the postinjury year. The depressed group reported a QoL that was 4.2 points (95% CI 2.8-5.6) lower in the year postinjury compared with that of the nondepressed group.

CONCLUSIONS

Depression after minor injury negatively affects QoL even a full year postinjury.

CLINICAL RELEVANCE

The findings of this study show that patients who have injuries that are treated and discharged from an emergency department can have significantly lower QoL in the year after that injury that is attributed, in part, to postinjury depression. Nurses should provide anticipatory guidance to patients that they may experience feelings of sadness or being "blue," and that if they do, they should seek care.

A cross-sectional study of psychological complaints and quality of life in severely injured patients

PURPOSE

The purpose of this study was to examine the incidence of psychological complaints and the relationship of these complaints with the quality of life (QOL) and accident- and patient-related factors among severely injured patients after the rehabilitation phase.

METHODS

Patients of 18 years or older with an injury severity score above 15 were included 15-53 months after their accident. Accident and patient characteristics were obtained from questionnaires and the trauma registry. Several questionnaires (Hospital Anxiety and Depression Scale, Impact of Events Scale, and Cognitive Failure Questionnaire) were used to determine the symptoms of psychological problems (anxiety or depression, post-traumatic stress disorder, or subjective cognitive complaints, respectively). The World Health Organization Quality of Life-Bref was used to determine QOL. A reference group of the Dutch general population was used for comparison of QOL scores.

RESULTS

The participation rate was 62 % (n = 173). At the time of the study, 30.1 % (n = 52) of the investigated patients had psychological complaints. No relation between psychological complaints and somatic severity or type of injury was found. Patients who were employed before the accident or resumed working reported less psychological complaints. Use of any medication before the accident and treatment for pre-accidental psychological problems were positively related to psychological complaints afterwards. QOL of severely injured patients was impaired in comparison with the general Dutch population, but only for those with psychological complaints.

CONCLUSIONS

Psychological complaints seem to be an important and underestimated factor for a decreased QOL among severely injured patients.

Health-related quality of life scores after intensive care are almost equal to those of the normal population: a multicenter observational study

INTRODUCTION

Health-related quality of life (HRQoL) in patients treated in intensive care has been reported to be lower compared with age- and sex-adjusted control groups. Our aim was to test whether stratifying for coexisting conditions would reduce observed differences in HRQoL between patients treated in the ICU and a control group from the normal population. We also wanted to characterize the ICU patients with the lowest HRQoL within these strata.

METHODS

We did a cross-sectional comparison of scores of the short-form health survey (SF-36) questionnaire in a multicenter study of patients treated in the ICU (n = 780) and those from a local public health survey (n = 6,093). Analyses were in both groups adjusted for age and sex, and data stratified for coexisting conditions. Within each stratum, patients with low scores (below -2 SD of the control group) were identified and characterized.

RESULTS

After adjustment, there were minor and insignificant differences in mean SF-36 scores between patients and controls. Eight (n = 18) and 22% (n = 51) of the patients had low scores (-2 SD of the control group) in the physical and mental dimensions of SF-36, respectively. Patients with low scores were usually male, single, on sick leave before admission to critical care, and survived a shorter time after being in ICU.

CONCLUSIONS

After adjusting for age, sex, and coexisting conditions, mean HRQoL scores were almost equal in patients and controls. Up to 22% (n = 51) of the patients had, however, a poor quality of life as compared with the controls (-2 SD). This group, which more often consisted of single men, individuals who were on sick leave before admission to the ICU, had an increased mortality after ICU. This group should be a target for future support.