| Literature DB >> 17822562 |
Michael Odenwald1, Birke Lingenfelder, Maggie Schauer, Frank Neuner, Brigitte Rockstroh, Harald Hinkel, Thomas Elbert.
Abstract
BACKGROUND: In Somalia, a large number of active and former combatants are affected by psychological problems such as Posttraumatic Stress Disorder (PTSD). This disorder impairs their ability to re-integrate into civilian life. However, many screening instruments for Posttraumatic Stress Disorder used in post-conflict settings have limited validity. Here we report on development and validation of a screening tool for PTSD in Somali language with a sample of ex-combatants.Entities:
Year: 2007 PMID: 17822562 PMCID: PMC2020457 DOI: 10.1186/1752-1505-1-10
Source DB: PubMed Journal: Confl Health ISSN: 1752-1505 Impact factor: 2.723
Comparison of screening and validation interview. Comparison of the criteria for PTSD in the screening and validation interview. The two-way table shows the numbers of respondents with and without PTSD (rows; validation interview) and the positive and negative screening cases (columns).
| 9 | 1 | 10 | ||
| 5 | 47 | 52 | ||
| 14 | 48 | 62 | ||
Sensitivity .90
Specificity .90
Kappa = .69 (p < .001)
Fischer's exact test: p < .001
Figure 1Group differences. Group differences between respondents with and without PTSD according to the CIDI: Group differences in sub-scales of the screening instrument between ex-combatants with PTSD (N = 10; dark-grey bars) and without PTSD (N = 52; light grey bars) in the clinical interview. Bars represent means of percentages of score maximum and standard deviation.
Group differences. Differences between positive (PTSD) and negative screening cases (without PTSD). Differences between these two groups on measures which were assessed in the validation interview are shown. Means and standard deviations (in brackets) or percentages and numbers (in brackets) are reported.
| SRQ-20 sum score | 9.07 (5.05) | 2.52 (4.11) | -5.010 (62) | < .001 |
| Psychotic symptoms | 57% (8) | 12% (6) | 6 | .001 |
| Number of traumatic events | 8.29 (3.00) | 6.54 (2.98) | -1.94 (62) | .057 |
| Years in armed conflict2 | 5.4 (4.0) | 4.8 (4.6) | -.450 (59) | .655 |
| Sum of minor physical symptoms in last month | 1.71 (1.68) | .82 (1.21) | -2.24 (62) | .029 |
| Average hours of sleep per 24 h in previous week | 6.43 (2.95) | 8.54 (2.39) | 2.776 (62) | .007 |
| Money spent on khat in last week (US$)3 | 7.38 (10.13) | 3.05 (5.80) | -1.317 | .191 |
| Average hours chewing khat per day in last week3 | 5.54 (5.94) | 3.14 (2.46) | -2.14 (56) | .037 |
| Khat used in combat 4 | 85% (11) | 68% (27) | 6 | .305 |
| Average numbers of cigarettes per day in last week 5 | 7.14 (7.52) | 4.94 (6.94) | -1.027 (60) | .309 |
1 student's t-test and Chi2 were used; Wilcoxon was performed when variances were unequal; exact test according to Fisher-Yates was performed when expected frequency/cell was below 5
2 different N: with PTSD 14, without PTSD 47
3 different N: with PTSD 13, without PTSD 45
4 different N: with PTSD 13, without PTSD 40
5 different N: with PTSD 14, without PTSD 48
6 exact test according to Fisher
7 Wilcoxon's test
Figure 2Receiver-operator curve (ROC). Receiver-operator curve (ROC) showing sensitivity and 1-specificity of cut-off criteria based on the sum score of the screening instrument. Area under the curve = .874, SE = .062, p < .001. Sensitivity (.90) and specificity (.79) are highest with the cut-off criterion 13/14.