Feasibility of a breath robot intervention to reduce sleep problems in posttraumatic stress disorder: A randomized controlled study
Annett Lotzin, Michael Barthelmäs, Isabelle Laskowsky
- 发表年份
- 2025
- 引用次数
- 3
摘要
Background: Patients with Posttraumatic stress disorder (PTSD) suffer from sleep problems. Robot interventions offer a novel approach to reducing these problems. However, it is unclear whether patients with PTSD accept and regularly use a robot intervention and whether it is effective. Objective: This randomized controlled study evaluated the feasibility of a novel breath robot intervention in PTSD patients. Methods: Thirty-one adults with PTSD according to DSM-V (PSSI-5) with impaired sleep (PSQI > 5) were randomly assigned to a 4-week robot intervention (Somnox 2) with human breath simulation or to a 4-week robot intervention without human breath simulation. The primary feasibility outcome was the proportion of randomized participants providing outcome data at post-treatment. Secondary feasibility outcomes involved eligibility rate, recruitment speed, uptake, retention, treatment adherence, and dropout, clinical outcomes included sleep quality (PSQI), PTSD symptoms (PSSI-5), distress (PSS-10), and well-being (WHO-5). Results: Outcome data were provided by 96.8 %; eligibility rate was 75.6 %; 31 patients were recruited within 6 months; uptake and retention were 100 %; treatment adherence was 93.8 % in the intervention and 92.9 % in the active control group; dropout was 0 %. Distress decreased significantly more in the intervention group compared to the active control group ( SMD = 0.67, 95 % CI 0.39, 0.94), but sleep quality, PTSD symptoms, and well-being did not improve significantly more. Conclusions: The use of a 4-week breath robot intervention was feasible and highly accepted in patients with severe PTSD. The breath robot intervention may reduce distress but may not be superior to a robot intervention without breath simulation for improving sleep and PTSD symptoms. Future trials should further determine the intervention’s clinical benefit.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992