Abstract：
:Many Syrian refugees residing in Germany have been exposed to traumatizing events, while treatment options are scarce. Therefore, the self-help app "Sanadak" was developed to target post-traumatic stress in Syrian refugees. We aimed to inspect the recruitment and baseline characteristics of the participants in the trial, which is conducted to evaluate the app. Analyses were based on the recruitment sample (n = 170) and the trial sample (n = 133). Data were collected during structured face-to-face interviews in the Arabic language. Targeted outcomes included post-traumatic stress (primary; Post-traumatic Diagnostic Scale for DSM-5/PDS-5) and depressive symptoms, anxiety, resilience, among others (secondary). Recruited individuals were M = 32.8 (SD = 11.2, range = 18-65) years old; 38.8% were women. The average PDS-5 score was 23.6 (SD = 13.2) regarding trauma exposure, which was most frequently related to experiencing military- or combat-related events (32.9%). Moreover, 46.5% had major depression and 51.8% showed low resilience. Anxiety was present in 40.6% of the trial participants. Psychological distress was high in Syrian refugees residing in Germany, enrolled in a trial targeting post-traumatic stress. This underlines the need for intervention. Our results provide important figures on the mental health of a not well-studied population group in Germany.
journal_name
Int J Environ Res Public Healthauthors
Röhr S,Jung FU,Renner A,Plexnies A,Hoffmann R,Dams J,Grochtdreis T,König HH,Kersting A,Riedel-Heller SGdoi
10.3390/ijerph17207578subject
Has Abstractpub_date
2020-10-18 00:00:00issue
20eissn
1661-7827issn
1660-4601pii
ijerph17207578journal_volume
17pub_type
杂志文章abstract：BACKGROUND:A healthcare system refers to a typical network production system. Network data envelopment analysis (DEA) show an advantage than traditional DEA in measure the efficiency of healthcare systems. This paper utilized network data envelopment analysis to evaluate the overall and two substage efficiencies of Chi...
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更新日期：2019-06-29 00:00:00
