Identifying predictors of health-related quality of life (HRQL) following burns is essential for optimization of rehabilitation for burn survivors. This study aimed to systematically review predictors of HRQL in burn patients. Medline, Embase, Web of Science, Cochrane, CINAHL, and Google Scholar were reviewed from inception to October 2016 for studies that investigated at least one predictor of HRQL after burns. The Quality in Prognostic Studies tool was used to assess risk of bias of included studies. Thirty-two studies were included. Severity of burns, postburn depression, post-traumatic stress symptoms, avoidance coping, less emotional or social support, higher levels of neuroticism, and unemployment postburn were found to predict a poorer HRQL after burns in multivariable analyses. In addition, weaker predictors included female gender, pain, and a postburn substance use disorder. Risk of bias was generally low in outcome measurement and high in study attrition and study confounding. HRQL after burns is affected by the severity of burns and the psychological response to the trauma. Both constructs provide unique information and knowledge that are necessary for optimized rehabilitation. Therefore, both physical and psychological problems require attention months to years after the burn trauma.

Health-related quality of life (HRQOL) is an important parameter after medical treatments. Knowledge of (predictors of) diminished quality of life can help improve medical outcome. The aim of this study was to quantify health loss in patients with burns and to assess the contribution of injury extent, age, gender, and psychologic factors to HRQOL and speed of recovery. A multicenter prospective cohort design was used to address these aims. Data were obtained from 260 adults with burns. Patients completed the EQ-5D at 3 weeks, 3, 6, 9, and 18 months after burn and psychologic questionnaires during hospitalization. Patient's scores were compared with an age- and gender-weighted norm population. Patients suffered from substantial health losses at short term, but after 18 months the majority reached a HRQOL comparable with the norm population with the exception of patients requiring two or more surgeries. The best predictor of long-term HRQOL and the speed of recovery was the number of surgeries, followed by psychologic problems. Both predicted baseline and trajectories of improvement. Symptoms of traumatic stress were most debilitating over time. Both injury severity and psychologic problems play a pivotal role in reduced HRQOL and the speed of recovery. The number of surgeries seems to give a practically useful indication of the expected recovery speed that could aid in decision making and provides adequate information for patients in the aftermath of their initial surgical treatment. Screening for traumatic stress is recommended.

We conducted a three-wave prospective study among patients with burns (N = 178) to examine the prospective influence of coping self-efficacy (CSE) perceptions on trajectories of posttraumatic stress symptoms in the first 12 months after burn injuries. Using linear growth curve modeling, we corrected for demographics, the number of surgeries during initial admittance, trait coping styles, and changing levels of health-related quality of life. CSE during initial admission was by far the strongest predictor of both initial PTSD symptoms and degree of symptom change with higher CSE levels associated with lower initial symptoms and a steeper decline of symptoms over time. Of the other variables only avoidant coping was associated with higher initial symptom levels, and only emotional expression associated with greater rate of recovery. Current findings suggest that CSE plays a pivotal role in recovery from posttraumatic stress after a burn injury, even when the role of burn-related impairments is taken into consideration. Implications of findings are discussed.

A prominent outcome measure within burn care is health related quality of life (HRQL). Until now, no model for long-term recovery of HRQL exists for adult burn patients which requires large samples with repeated measurements. Re-use and the combination of existing data is a way to achieve larger data samples that enable the estimation of long-term recovery models. The aim of this secondary data analysis was to assess the recovery of HRQL after a burn injury over time. Data from ten European studies on generic HRQL assessed in adult burn patients (either with the EQ-5D or SF-36) from five different countries were merged into one dataset. SF-36 outcomes were transformed into EQ-5D outcomes. A 24-month recovery of HRQL (EQ-5D utility) was modeled using a linear mixed-effects model and adjusted for important patient and burn characteristics. Subgroups of patients with mild and intermediate burns (≤20% total body surface area (TBSA) burned) and with major burns (>20% TBSA burned) were compared. The combined database included 1687 patients with a mean age of 43 (SD 15) years and a median %TBSA burned of 9% (IQR 4–18). There was large improvement in HRQL up to six months after burns, and HRQL remained relatively stable afterwards (studied up to 24 months post burn). However, the estimated EQ-5D utility scores remained below the norm scores of the general population. In this large sample, females, patients with a long hospital stay and patients with major burns had a delayed and worse recovery. The proportion of patients that reported problems for the EQ-5D dimensions ranged from 100% (pain/discomfort at baseline in patients with major burns) to 10% (self-care ≥3 months after injury in patients with mild and intermediate burns). After 24 months, both subgroups of burn patients did not reach the level of the general population in the dimensions pain/discomfort and anxiety/depression, and patients with major burns in the dimension usual activities. A main limitation of the study includes that the variables in the model were limited to age, gender, %TBSA, LOS and time since burn as these were the only variables available in all datasets. The 24-month recovery model can be used in clinical practice to inform patients on expected HRQL outcomes and provide clinicians insights into the expected recovery of HRQL. In this way, a delayed recovery can be recognized in an early stage and timely interventions can be started in order to improve patient outcomes. However, external validation of the developed model is needed before implementation into clinical practice. Furthermore, our study showed the benefit of secondary data usage within the field of burns.