Integrating health-related quality of life with sickness leave days for return-to-work assessment in traumatic limb injuries

The socioeconomic impact of orthopaedic trauma: A systematic review and meta-analysis

The overall objective of this study was to determine the patient-level socioeconomic impact resulting from orthopaedic trauma in the available literature. The MEDLINE, Embase, and Scopus databases were searched in December 2019. Studies were eligible for inclusion if more than 75% of the study population sustained an appendicular fracture due to an acute trauma, the mean age was 18 through 65 years, and the study included a socioeconomic outcome, defined as a measure of income, employment status, or educational status. Two independent reviewers performed data extraction and quality assessment. Pooled estimates of the socioeconomic outcome measures were calculated using random-effects models with inverse variance weighting. Two-hundred-five studies met the eligibility criteria. These studies utilized five different socioeconomic outcomes, including return to work (n = 119), absenteeism days from work (n = 104), productivity loss (n = 11), income loss (n = 11), and new unemployment (n = 10). Pooled estimates for return to work remained relatively consistent across the 6-, 12-, and 24-month timepoint estimates of 58.7%, 67.7%, and 60.9%, respectively. The pooled estimate for mean days absent from work was 102.3 days (95% CI: 94.8-109.8). Thirteen-percent had lost employment at one-year post-injury (95% CI: 4.8-30.7). Tremendous heterogeneity (I2>89%) was observed for all pooled socioeconomic outcomes. These results suggest that orthopaedic injury can have a substantial impact on the patient's socioeconomic well-being, which may negatively affect a person's psychological wellbeing and happiness. However, socioeconomic recovery following injury can be very nuanced, and using only a single socioeconomic outcome yields inherent bias. Informative and accurate socioeconomic outcome assessment requires a multifaceted approach and further standardization.

Trajectories of quality of life in patients with traumatic limb injury: a 2-year follow-up study

PURPOSE

Traumatic limb injury (TLI) can have a negative impact on a patient's quality of life (QOL), and the patient's QOL may fluctuate over time. However, the longitudinal change patterns of QOL in patients with TLI are largely unknown. The aim of this study was to investigate the QOL trajectories in patients with TLI in 4 QOL domains: physical capacity, psychological well-being, social relationships, and environment.

METHODS

The patients' QOL was assessed within 14 days and at 1, 3, 6, 12, and 24 months after injury. In each QOL domain, 4 latent growth curve models (LGMs, including non-growth, linear growth, quadratic growth, and cubic LGM) were adopted to examine the QOL trajectories across the 6 time points.

RESULTS

A total of 499 patients completed the 6 assessments. For all 4 QOL domains, the cubic LGM had the best model fitting (root-mean-square error of approximation < 0.01) revealing that the patients' 4 QOL domains changed with cubic trajectories: QOL improved in the first 6 months, deteriorated in the second 6 months, and improved smoothly at 12-24 months after injury.

CONCLUSIONS

This study found that the trajectories in the 4 QOL domains were cubic trajectories in patients with TLI. These findings indicate that clinicians should pay additional attention to improve the patients' QOL in the first 6 months after injury and to prevent or reduce QOL deterioration at 6-12 months.

A threshold regression model to predict return to work after traumatic limb injury

OBJECTIVE

The study aims to examine the severity of initial impairment and recovery rate of return-to-work (RTW) predictors among workers with traumatic limb injury.

METHODS

This 2-year prospective cohort study recruited 1124 workers with traumatic limb injury during the first 2 weeks of hospital admission. Baseline data were obtained by questionnaire and chart review. Patient follow-up occurred at 1, 3, 6, 12, 18, and 24 months post injury. The primary outcome was the time of first RTW. The impact of potential predictors on initial impairment and rate of recovery towards RTW was estimated by threshold regression (TR).

RESULTS

A total of 846 (75.27%) participants returned to work during the follow-up period. Our model revealed that the initial impairment level in elderly workers and lower limb injuries were 33% and 35% greater than their counterparts, respectively. Workers with >12 years of education, part-time job, and moderate and higher self-efficacy were less impaired at initial injury compared with their counterparts. In terms of the rate of recovery leading to RTW, workers with older age, part-time jobs, lower limbs, or combined injuries had a significantly slower recovery rate, while workers with 9-12 years of education and >12 years of education had a significantly faster recovery rate.

CONCLUSIONS

Our study provides researchers and clinicians with evidence to understand the baseline impairment and rate of recovery towards RTW by explaining the predictors of RTW among workers with traumatic limb injuries.

Validation of the EQ-5D in Patients with Traumatic Limb Injury

PURPOSE

The measurement properties of the EQ-5D have not been explored for patients with traumatic limb injuries. The purpose of this study was to examine the construct validity, predictive validity, and responsiveness of the EQ-5D in patients with traumatic limb injuries.

METHODS

A consecutive cohort of 1,167 patients was assessed with the EQ-5D and the World Health Organization Quality of Life instrument (WHOQOL-BREF) at baseline while the patients were hospitalized because of the injury, and the patients were followed up at 3 months (1,003 patients), 6 months (1,010 patients), and 12 months (987 patients) after injury via telephone interview.

RESULTS

The utility and visual analogue scale (VAS) scores of the EQ-5D had moderate to high association with the physical and psychological domains and the two general questions (overall QOL and overall health) of the WHOQOL-BREF at all time points except baseline (Pearson's correlation coefficient >0.3), but the EQ-5D profiles were weakly associated with the social and environment domains of the WHOQOL-BREF (absolute value of Spearman's correlation coefficient <0.3). These results indicate that the EQ-5D has satisfactory construct validity. The utility and VAS scores of the EQ-5D at 3 and 6 months after injury can predict (with moderate to large relationships) the four domains and two general questions of the WHOQOL-BREF administered at 12 months after injury. The responsiveness of the utility and VAS of the EQ-5D were high (effect sizes >0.9) at 0-3, 0-6, and 0-12 months after injury.

CONCLUSIONS

The EQ-5D has sufficient construct validity, predictive validity, and responsiveness, and also provides evidence for using the utility of the EQ-5D for cost-utility analyses of patients with traumatic limb injuries in the future.

Construct validity of SF-6D health state utility values in an employed population

BACKGROUND

Health utility values permit cost utility analysis in workplace health promotion; however, utility measures of working populations have not been validated.

AIM

To investigate construct validity of SF-6D health utility in a public service workforce.

METHODS

SF-12v2 Health Survey was administered to 3,408 randomly selected public service employees in Australia in 2010. SF-12 scores were converted to SF-6D health utility values. Associations and correlates of SF-6D with health, socio-demographic and work characteristics [comorbidities, body mass index (BMI), Kessler-10 psychological distress (K10), education, salary, effort-reward imbalance (ERI), absenteeism] were explored. Ceiling effects were analysed. Nationally representative employee SF-6D values from the Household, Income and Labour Dynamics in Australia (HILDA) survey (n = 11,234) were compared. All analyses were stratified by sex.

RESULTS

Mean (SE) age was 45.7 (0.35) males; 44.5 (0.22) females. Females represented 72 % of the sample. Mean (SE) health utility 0.792 (0.004); 0.771 (0.003) was higher in males. SF-6D demonstrated both a significant inverse association (p < 0.01) and negative correlations (female; male) with K10 (r = -0.63; r = -0.66), comorbidity count (r = -0.40; r = -0.33), ERI (r = -0.37; r = -0.34) and absenteeism (p < 0.005, r = -0.25; r = -0.21). Mean (SE) SF-6D in HILDA was 0.792 (0.002); 0.775 (0.003) males; females. Correlates and associations in all samples were similar. The general employed demonstrated a significant inverse association with age and positive association with salary. SF-6D was independent of BMI.

CONCLUSIONS

Psychological distress, comorbidity, effort-reward imbalance and absenteeism are negatively associated with employee health. SF-6D is a valid measure of perceived health states in working populations.

Validation of a Chinese version of the Frenchay Activities Index in patients with traumatic limb injury

PURPOSE

The Frenchay Activities Index (FAI) is a frequently used measure that assesses instrumental activities of daily living (IADL). However, the measurement properties of the FAI are largely unknown for patients with traumatic limb injuries. The purpose of this study was to examine the measurement properties of a Chinese version of the FAI, including score distribution, internal consistency, construct validity, predictive validity, and responsiveness in patients with traumatic limb injuries.

METHODS

We performed a secondary data analysis, primarily using non-parametric item response theory, on a data set. The FAI and the World Health Organization Quality of Life Assessment (WHOQOL-BREF) were administered via telephone interview to a cohort of patients at 3, 6, and 12 months after injury. Totals of 342 patients' data (at 3 months after injury), 1,010 patients' data (6 months), and 987 patients' data (12 months) were available for analysis.

RESULTS

After the deletion of 5 items (i.e., travel outings, gardening, household/car maintenance, reading books, and gainful work), the 10-item revised FAI (R-FAI) formed a unidimensional construct. The R-FAI exhibited a unidimensional construct at each of the 3 time points. The R-FAI had sufficient score distribution, internal consistency, predictive validity, and responsiveness in patients with limb injuries.

CONCLUSIONS

Our results support the conclusion that the R-FAI has satisfactory measurement properties. The R-FAI is useful for assessing IADL in patients with limb injuries.