Burn injury is often a devastating event with long-term physical and psychosocial effects. Burn scars after deep dermal injury are cosmetically disfiguring and force the scarred person to deal with an alteration in body appearance. In addition, the traumatic nature of the burn accident and the painful treatment may induce psychopathological responses. Depression and post-traumatic stress disorder (PTSD), which are prevalent in 13-23% and 13-45% of cases, respectively, have been the most common areas of research in burn patients. Risk factors related to depression are pre-burn depression and female gender in combination with facial disfigurement. Risk factors related to PTSD are pre-burn depression, type and severity of baseline symptoms, anxiety related to pain, and visibility of burn injury. Neuropsychological problems are also described, mostly associated with electrical injuries. Social problems include difficulties in sexual life and social interactions. Quality of life initially seems to be lower in burn patients compared with the general population. Problems in the mental area are more troublesome than physical problems. Over a period of many years, quality of life was reported to be rather good. Mediating variables such as low social support, emotion and avoidant coping styles, and personality traits such as neuroticism and low extraversion, negatively affect adjustment after burn injury. Few studies of psychological treatments in burn patients are available. From general trauma literature, it is concluded that cognitive (behavioral) and pharmacological (selective serotonin reuptake inhibitors) interventions have a positive effect on depression. With respect to PTSD, exposure therapy and eye movement reprocessing and desensitization are successful. Psychological debriefing aiming to prevent chronic post-trauma reactions has not, thus far, shown a positive effect in burn patients. Treatment of problems in the social area includes cognitive-behavioral therapy, social skills training, and community interventions. Sexual health promotion and counseling may decrease problems in sexual life.In conclusion, psychopathology and psychological problems are identified in a significant minority of burn patients. Symptoms of mood and anxiety disorders (of which PTSD is one) should be the subject of screening in the post-burn phase and treated if indicated. A profile of the patient at risk, based on pre-injury factors such as pre-morbid psychiatric disorder and personality characteristics, peri-traumatic factors and post-burn factors, is presented. Finally, objective characteristics of disfigurement appear to play a minor role, although other factors, such as proneness to shame, body image problems, and lack of self-esteem, may be of significance.

BackgroundThe analysis of small data sets in longitudinal studies can lead to power issues and often suffers from biased parameter values. These issues can be solved by using Bayesian estimation in conjunction with informative prior distributions. By means of a simulation study and an empirical example concerning posttraumatic stress symptoms (PTSS) following mechanical ventilation in burn survivors, we demonstrate the advantages and potential pitfalls of using Bayesian estimation.MethodsFirst, we show how to specify prior distributions and by means of a sensitivity analysis we demonstrate how to check the exact influence of the prior (mis-) specification. Thereafter, we show by means of a simulation the situations in which the Bayesian approach outperforms the default, maximum likelihood and approach. Finally, we re-analyze empirical data on burn survivors which provided preliminary evidence of an aversive influence of a period of mechanical ventilation on the course of PTSS following burns.ResultsNot suprisingly, maximum likelihood estimation showed insufficient coverage as well as power with very small samples. Only when Bayesian analysis, in conjunction with informative priors, was used power increased to acceptable levels. As expected, we showed that the smaller the sample size the more the results rely on the prior specification.ConclusionWe show that two issues often encountered during analysis of small samples, power and biased parameters, can be solved by including prior information into Bayesian analysis. We argue that the use of informative priors should always be reported together with a sensitivity analysis.

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