Cited 6 times since 2015 (0.6 per year) source: EuropePMC PloS one, Volume 10, Issue 2, 2 1 2015, Pages e0115119 Long-term impact of battle injuries; five-year follow-up of injured Dutch servicemen in Afghanistan 2006-2010. Hoencamp R, Idenburg FJ, van Dongen TT, de Kruijff LG, Huizinga EP, Plat MC, Hoencamp E, Leenen LP, Hamming JF, Vermetten E
Objectives
Units deployed to armed conflicts are at high risk for exposure to combat events. Many battle casualties (BCs) have been reported in the recent deployment to Afghanistan. The long-term impact of these combat injuries, at their five-year end point, is currently unknown. To date, no systematic inventory has been performed of an identified group of BCs in comparison to non-injured service members from the same operational theatre.
Design
Observational cross-sectional cohort study.
Setting
Open online survey among Dutch BCs that deployed to Afghanistan (2006-2010).
Participants
The Dutch BCs (n = 62) were compared to two control groups of non-injured combat groups (battle exposed [n = 53], and non-battle exposed [n = 73]).
Main outcome measures
Participants rated their impact of trauma exposure (Impact of Events [IES]), post deployment reintegration (Post Deployment Reintegration Scale [PDRS]), general symptoms of distress (Symptom Checklist 90 [SCL-90]), as well as their current perceived quality of life (EuroQol-6D [EQ-6D]). Also cost effectiveness (Short From health survey [SF-36]) and care consumption were assessed (Trimbos/iMTA questionnaire).
Results
Over 90% of BCs were still in active duty. The mean scores of all questionnaires (IES, EQ-6D, SF-36, and SCL-90) of the BC group were significantly higher than in the control groups (p<0.05). The PDRS showed a significantly lower (p<0.05) outcome in the negative subscales. The mean consumption of care was triple that of both control groups. A lower score on quality of life was related to higher levels of distress and impact of trauma exposure.
Conclusions
This study showed a clear long-term impact on a wide range of scales that contributes to a reduced quality of life in a group of BCs. Low perceived cost effectiveness matched with high consumption of care in the BC group in comparison to the control groups. These results warrant continuous monitoring of BCs.
