The efficacy of internet-delivered cognitive-behavioral therapy for posttraumatic stress disorder according to the mean age of patients: a systematic review and meta-analysis.
Jéssica Meirelles PaivaMarina S MelaniElisa Schoenche Nunes MarquesCheyenne von ArcosyEvandro da Silva Freire CoutinhoPaula Rui VenturaWilliam BergerPublished in: Psychology, health & medicine (2023)
Internet-delivered cognitive-behavioral therapy (I-CBT) is effective in treating post-traumatic stress disorder (PTSD) symptoms, offering enhanced accessibility and cost-effectiveness. However, it's important to note that these technologies may not be suitable for all age groups. Therefore, we conducted a systematic review and meta-analysis to determine if the effectiveness of I-CBT in treating PTSD varies based on the patients' mean age. We conducted a systematic review of the literature, focusing on randomized controlled trials (RCTs) in the ISI Web of Science, PubMed/MEDLINE, and PsycINFO databases. Following this, we performed a meta-analysis and evaluated the risk of bias using the Cochrane risk of bias quality assessment tool. In this study, we examined patient-related factors (civil or military status, age, and gender), clinical characteristics (baseline PTSD severity and type of trauma), and treatment characteristics (type of intervention, synchronous or asynchronous delivery, and the number of sessions) as independent variables. The dependent variable was the reduction in mean PTSD symptoms. Five RCTs out of 1,552 screened studies were included in this review, all of which showed some level of concern regarding potential bias. Our meta-analysis indicates that I-CBT is equally effective regardless of patients' mean age. Since all RCTs included only provide the mean age of the patients, further randomized controlled trials should address the effectiveness of I-CBT among different age groups.
Keyphrases
- end stage renal disease
- posttraumatic stress disorder
- randomized controlled trial
- chronic kidney disease
- systematic review
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- prognostic factors
- social support
- public health
- machine learning
- risk assessment
- quality improvement
- deep learning
- deep brain stimulation
- artificial intelligence
- case control
- human health
- trauma patients