The goal of this study is to assess prevalence and incidence of psychiatric sequelae in a sample of inpatient accident survivors. Such an attempt to assess psychiatric conditions that originate due to an accident seems to be important; this does not include psychiatric conditions already present prior to the accident.

208 accident victims were consecutively examined over a period of 12 months using DSM-IV diagnostic assessment, CAPS, and self-evaluating questionnaires as well as ISS for injury severity. A predictor model for psychiatric disorders was set up.

Incidence of newly developed Axis I disorders in our sample was 14.2% (6 months) and 12.3% (12 months). Incidence of PTSD was 5.9% (6 months) and 2.5% (12 months). Comorbidity was a general phenomenon. The psychiatric condition prior to the accident could be identified as a predictor for the development of Axis I disorders. The subjectively evaluated intensity of experienced threat to life and female gender were the main predictors for the development of PTSD.

Accidents can lead to different psychiatric disorders. PTSD as a single diagnosis is rare. Without taking into account pre-existing disorders, the incidence may be overestimated. Two predictor models for the development of PTSD and other mental disorders are presented.

To determine whether the modified version of the Suicide Assessment Scale (SUAS) can be utilised to predict risk of repeat suicidal behaviour.

Hundred and sixty-five patients aged 18 to 68 years who were admitted to emergency wards after a suicide attempt were interviewed. Follow-up interviews (n = 96) were carried out after 2 months. Associations between SUAS scores and repeat attempt (fatal/non-fatal) during the following 3 years were analysed and the instrument's ability to predict repetition was assessed.

High SUAS score (>30) was associated with repetition. The ability of the SUAS to correctly predict repeat suicidal behaviour in the entire study group was low (AUC = 0.65, 95% CI = 0.56–0.74) but better for those (n = 42) who reported ongoing psychiatric treatment at follow-up (AUC = 0.78, 95% CI 0.63–0.94). Among the latter group, all with baseline SUAS scores >30 made repeats.

The modified SUAS performed well as a screening instrument in psychiatric patients.

Although the reliable and valid Peritraumatic Distress Inventory (PDI–C) and Peritraumatic Dissociative Experiences Questionnaire (PDEQ) are useful for identifying adults at risk of developing acute and chronic posttraumatic stress disorder (PTSD), they have not been validated in school-aged children and their predictive values remain unknown in this population. This study aims to assess the psychometric properties of the children versions of these two measures (PDI-C and PDEQ-C) in a sample of French-speaking school-children.

One-hundred and thirty-three consecutive victims of road traffic accidents, aged 8–15 years, were recruited into this longitudinal study via the emergency room. The peritraumatic reactions were assessed at baseline and PTSD symptoms were assessed 1 month later.

Cronbach's alpha coefficients were 0.8 and 0.77 for the PDI-C and PDEQ-C, respectively. The 1-month test-retest correlation coefficient (n = 33) was 0.77 for both measures. The PDI-C demonstrated a two-factor structure while the PDEQ-C displayed a one-factor structure. As with adults, the two measures were intercorrelated (r = 0.52) and correlated with subsequent PTSD symptoms and diagnosis (r = 0.21–0.56; P < 0.05).

The children versions of the PDI and PDEQ are reliable and valid in children.