Post-traumatic stress disorder (PTSD) is characterised by distressing psychological symptoms and prolonged disruption of daily functioning following exposure to a stressful, frightening or distressing event. Core symptoms include intrusive memories, sensations or dreams related to the trauma; avoidance of reminders such as people, places or situations; and persistent changes in mood, cognition, arousal and reactivity (DSM-5: American Psychiatric Association 2013). PTSD is a global health concern, with lifetime prevalence estimates of 10–12% in women and 5–6% in men (Olff Reference Olff2017).
(I)C/BT approaches for PTSD
Cognitive and/or behavioural therapy (C/BT), which aims to recalibrate dysregulated fear circuitry and reduce maladaptive cognitive and behavioural responses to trauma (Brown Reference Brown, Dewey and Bunnell2018; Ehlers Reference Ehlers and Clark2000), is currently recommended within PTSD treatment pathways (Shubina Reference Shubina2015; National Institute for Health and Care Excellence, 2018). However, C/BT presents constraints, including clinician availability, geographical location, long waiting lists for public or low-cost services, physical accessibility problems and social stigma. A scalable alternative facilitated by rapidly advancing digital health technologies that may improve accessibility and cost-effectiveness is internet-delivered C/BT (I-C/BT). Although content structures vary, I-C/BT courses generally teach evidence-based cognitive and behavioural techniques to alleviate symptoms, including psychoeducation, cognitive restructuring and behavioural strategies such as in vivo exposure. Varying extents of practitioner support typically guide engagement with the self-directed material. Evidence for I-C/BT is growing across a range of psychological disorders (Spek Reference Spek, Cuijpers and Nyklíček2007; Andersson Reference Andersson and Cuijpers2009; Farrer Reference Farrer, Christensen and Griffiths2011), but its application in PTSD is less established. Few systematic reviews or meta-analyses have synthesised findings to determine its clinical utility for trauma-specific presentations. Moreover, PTSD presents unique challenges for self-directed interventions, including the lack of personalised support, limited flexibility to accommodate complex trauma histories, and reduced capacity to manage acute distress or crisis. Given these gaps and challenges, the Cochrane Review under discussion (Simon Reference Simon, Robertson and Lewis2021) provides a timely and necessary appraisal of the current evidence for I-C/BT in PTSD care.
The Cochrane Review
Simon et al (Reference Simon, Robertson and Lewis2021)’s review evaluates the effectiveness of I-C/BT for individuals with PTSD, considering outcomes including symptom reduction and drop-out rates. They identified 13 randomised controlled trials (RCTs), involving 808 participants, 10 of which used waiting-list/treatment as usual (TAU) comparators. A moderate effect of attenuated PTSD symptoms post-treatment was reported; however, the benefits did not persist after 6 months, and the evidence exhibited low to very low certainty.
Method
In alignment with good review practices, Simon et al predefined clear inclusion/exclusion criteria for studies, as follows.
‘P’ is for population
The population included individuals aged ≥16 years experiencing PTSD symptoms. Studies were eligible if at least 70% of participants met PTSD diagnostic criteria, assessed through clinical interviews. No exclusions were based on the type of trauma experienced, symptom severity or duration, time since the traumatic event or comorbidities.
‘I’ is for intervention
Interventions included online or mobile-delivered cognitive therapy, behavioural therapy or combined cognitive–behavioural therapy (CBT) programmes. Eye movement desensitisation and reprocessing and mindfulness-based therapies were excluded, except for mindfulness-based I-C/BT. Therapist guidance was limited to 5 h delivered across a range of modalities (e.g. messaging, telephone, face-to-face contact), with no restrictions on frequency. Treatment durations were unrestricted but averaged approximately 9 weeks. Of the 13 studies, 4 used <8 sessions and 3 used unstandardised, ad hoc sessions, despite the National Institute for Health and Care Excellence (NICE) recommendation of 8–12 sessions for PTSD treatment (NICE 2018).
‘C’ is for comparison
All 13 included studies were RCTs, a design typically regarded as providing high-quality evidence. Comparator interventions varied and included face-to-face CBT, face-to-face non-CBT, psychological therapies, waiting list/TAU, internet-delivered psychoeducation and internet-delivered non-CBT interventions. The present commentary will focus on the majority of studies, which used waiting-list/TAU comparators (10/13).
‘O’ is for outcome
Primary outcomes included PTSD symptom severity, assessed via standardised scales (10 out of 13 studies) and clinician interviews (Box 1), and drop-out rates. Secondary outcomes included the proportion of participants meeting PTSD diagnostic thresholds, depression and anxiety symptom severity, cost-effectiveness, adverse events, treatment acceptability and quality of life. Outcomes were reported chronologically: immediately post-treatment (the primary interest) and <6 months, between 6 and 12 months and over 12 months post-treatment.
Post-traumatic stress disorder (PTSD) outcomes: tools at a glance
Randomised controlled trials included in the Cochrane Review employed a range of standardised measures to assess PTSD outcomes, exhibiting different strengths and limitations. Understanding their properties can help clinicians interpret findings and choose appropriate instruments in practice

Most of these tools were developed under DSM-4 criteria and adapted for DSM-5; some instruments do not fully capture DSM-5 cognitive and mood symptoms. The self-report tools (IES-R, PCL-C, PDS-5) are user-friendly and sensitive to change, but rely on accurate patient recall and may misestimate symptom severity. In contrast, the CAPS-5 and PSS-I provide clinical depth and diagnostic clarity, at the cost of administration time and clinician training.
Search results
To address their objective, Simon et al conducted a comprehensive search of studies published between March 2018 and June 2020 across seven databases, in line with Cochrane recommendations (Higgins Reference Higgins, Thomas and Chandler2019). The search strategy included grey literature (unpublished studies, dissertations and theses), reference lists and ongoing work. This yielded 13 RCTs, accounting for 808 participants. Only three new studies were added to an earlier version of the review (Lewis Reference Lewis, Roberts and Bethell2018). More RCTs on the topic have become available since 2020, perhaps reflecting the pandemic-driven demand for remote interventions not yet captured in this search. Experimental group samples ranged from 3 to 79 participants. The higher prevalence of PTSD in females was accurately reflected, as women constituted 18.75–100% of samples.
The review thoughtfully evaluated the characteristics and methodological quality of the included studies. Certainty of evidence was assessed using the GRADE approach (Box 2), reflecting a clear effort to account for factors that may affect confidence in the meta-analytic findings.
Certainty of evidence in meta-analyses
Meta-analyses routinely report gradings of the certainty of evidence in ‘Results’ and a ‘Summary of findings table’. Essentially, this can be considered as the trustworthiness of a study’s observations. Assessing the quality of evidence allows researchers to make informed judgements on whether a study’s effect sizes reflect treatment effectiveness accurately, or whether other factors, such as study design, may have reduced precision. This is especially important when evaluating recommendations produced from these estimates of effect, which can result in large consequences for healthcare if incorrect.
The Grades of Recommendation Assessment, Development and Evaluation (GRADE) working group (www.gradeworkinggroup.org/) has a standardised framework within which certainty of evidence can be assessed. Randomised controlled trials and non-randomised studies are initially (before assessment) considered to have ‘high’ and ‘low’ certainty respectively.
Authors then consider each outcome with regard to the following domains, which can lead to a decrease in the certainty of evidence:
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• risk of bias or limitations in the design and implementation: whether there are concerns about the design and conduct of the studies (e.g. poor masking (‘blinding’) or randomisation, incomplete outcome data);
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• inconsistency: whether there is unexplained variability in results across different studies (e.g. in the direction of results or magnitude of effect sizes);
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• indirectness: whether the evidence directly addresses the research question;
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• imprecision: whether the results are imprecise (e.g. large confidence intervals), which could be due to issues such as too small a sample size;
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• publication bias: whether studies reporting a statistically significant effect are more likely to be published than those that fail to reach significance, resulting in an overestimation of effects when considering standardised mean differences.
Usually, certainty ratings drop by one level for each factor, or two in the case of particularly serious issues.
Each observation is also assessed with the following domains, which can increase certainty of evidence:
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• large magnitude of effect: large effect size reported;
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• dose–response gradient: a reported relationship between the dose of an intervention and the strength of its response, suggesting causality;
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• opposing plausible residual confounding or bias: when all plausible confounds and/or biases would reduce the observed effect, despite it remaining significant.
When these factors are considered, the body of evidence can be categorised into the following levels of certainty with their respective implications:

Results
As mentioned above, this commentary focuses on I-C/BT versus waiting-list or TAU controls (10 of 13 studies). For pooled effects across all intervention types and outcomes, we refer the reader to the full Cochrane Review. Only 3 of the 10 studies used TAU; 7 used waiting list. One TAU study (Krupnick Reference Krupnick, Green and Amdur2017) assessed I-C/BT as an adjunct therapy, as their intervention and TAU control group received pharmacological interventions and other types of psychotherapy. In the other two TAU-comparator studies (Ivarsson Reference Ivarsson, Blom and Hesser2014; Engel Reference Engel, Litz and Magruder2015), the control condition was clinician contact (used for patient monitoring as opposed to therapeutic purposes).
Is I-C/BT better than waiting list/usual care?
Overall, results suggest that I-C/BT was more effective than waiting list/usual care at reducing PTSD, depression and anxiety symptoms immediately post-treatment (Box 3).
Understanding meta-analysis statistics
Meta-analyses pool results across studies using common effect size metrics to make comparisons possible, even when studies use different measures or designs.
Continuous outcomes
When measuring continuous outcomes such as symptom severity (e.g. post-traumatic stress disorder (PTSD) interview scores), researchers calculate a mean difference (m.d.) or standardised mean difference (s.m.d.).
The mean difference is used when outcomes are measured using the same tool across studies. It typically reflects the average difference in scores between groups (e.g. treatment versus control) after treatment.
Example:
Severity of PTSD symptoms in treatment group post- treatment = 30, in control group = 38
m.d. = 30 – 38 = −8, which implies greater reduction in the treatment group.
The standardised mean difference allows comparison across studies using different outcome measures (e.g. IES-R versus CAPS-5). It is calculated by dividing the mean difference by the pooled standard deviation. Negative standardised mean differences typically indicate symptom reduction in the treatment group.
Example:
m.d. = −8, pooled s.d. = 10
s.m.d. = −8/10 = −0.8, which implies a large effect in favour of treatment.
Standardised mean difference values are interpreted using Cohen’s rule of thumb (regardless of sign):
0.2 = small effect
0.5 = moderate effect
>0.8 = large effect.
Dichotomous outcomes
When data are binary (e.g. PTSD diagnosis: yes/no), outcomes are often expressed as risk ratios (RR):
Risk = (number of people with the outcome)/(total number of people in the group)
RR = (risk in the treatment group)/(risk in the control group)
Example:
PTSD diagnosis: 20/100 in treatment, 40/100 in control
Risk in treatment = 0.20, risk in control = 0.40
RR = 0.20/0.40 = 0.5, which implies that risk is halved in the treatment group.
Interpreting RRs:
RR = 1 means no difference
RR >1 means higher risk in the treatment group
RR <1 means lower risk in the treatment group.
Why this matters
Understanding standardised mean differences and risk ratios helps interpret how much an intervention actually helps and whether results are likely to be meaningful in the real world. But large effect sizes are only useful when the underlying evidence is trustworthy.
For the primary outcome of PTSD symptom severity immediately after treatment, I-C/BT showed a moderate benefit over waiting list/TAU (s.m.d. = −0.61, 95% CI −0.93 to 0.29; 10 studies, 608 participants). However, this benefit did not persist up to 6 months post-treatment (s.m.d. = −0.45, 95% CI −1.29 to 0.39; 4 studies, 154 participants). Regarding drop-out rates, no difference was found between I-C/BT and waiting-list/TAU groups (RR = 1.25, 95% CI 0.97–1.60; I 2 = 34%; 9 studies, 634 participants).
Regarding secondary outcomes, I-C/BT did not significantly reduce the risk of meeting PTSD diagnostic criteria post-treatment compared with waiting list (RR = 0.53, 95% CI 0.28 to 1.00; 1 study, 62 participants). However, I-C/BT was more effective than waiting list at reducing depressive (s.m.d. = −0.51, 95% CI −0.97 to −0.06; 7 studies, 473 participants) and anxiety symptoms (s.m.d. = −0.61, 95% CI −0.89 to −0.33; 5 studies, 345 participants). One study found that the anxiolytic effects persisted 6 months post-treatment (m.d. = −12.59, 95% CI −20.74 to −4.44; 42 participants).
All findings were rated as low or very low certainty, primarily because of risk of bias, indirectness of evidence, serious inconsistency, imprecision of effect estimates and possible publication bias. There was consistently high risk of performance bias across all included studies, as neither participants nor therapists could be masked to treatment. However, eight out of the ten studies reported adequate masking of outcome assessors, partly mitigating this limitation.
Does therapist involvement or trauma focus matter?
Findings suggest that therapist guidance may meaningfully enhance I-C/BT effectiveness. Interventions incorporating therapist support were associated with greater reductions in PTSD symptoms (s.m.d. = −0.78, 95% CI −1.09 to −0.47; 8 studies, 439 participants), whereas unguided interventions showed no meaningful benefit over waiting list (s.m.d. = −0.09, 95% CI −0.39 to 0.22; 2 studies, 169 participants).
Similarly, trauma-focused I-C/BT appeared more effective than non-trauma-focused approaches. Trauma-focused interventions showed greater symptom improvement (s.m.d. = −0.94, 95% CI −1.24 to −0.65; 6 studies, 342 participants), whereas non-trauma-focused treatments showed no difference compared with waiting-list controls (s.m.d. = −0.16, 95% CI −0.41 to 0.08; 4 studies, 266 participants).
Discussion
Does this help me care for my patient?
The majority of included studies (77%) found that I-C/BT attenuated PTSD, depression and anxiety symptoms compared with waiting-list/TAU controls. Other meta-analyses report moderate to large effects of internet-delivered CBT for PTSD (Sijbrandij Reference Sijbrandij, Kunovski and Cuijpers2016; Paiva Reference Paiva, dos Santos Melani and Marques2024), signifying promising potential. However, since waiting-list controls can exhibit worsening symptoms over time (a nocebo effect), this may inflate the apparent effectiveness of I-C/BT by increasing the mean difference between groups (Allen Reference Allen, Smith and Hobbs2022). Moreover, the small number of studies included and their very low certainty of evidence further limits the clinical relevance of these findings.
Notably, therapist involvement – even minimal – and trauma-focused content may significantly enhance treatment outcomes. These findings point to important considerations for clinical practice: the content and structure of I-C/BT matter, and human connection still plays a key role. This is reflected in the NICE early value assessments of digitally enabled therapies for depression (NICE 2023a) and anxiety disorders (NICE 2023b), both of which outline standardised measures of digital intervention quality and provide valuable considerations for inclusion criteria in future reviews.
High drop-out rates and non-response remain concerns, with some reviews reporting drop-out rates as high as 57% in internet-based CBT studies, climbing to 74% for those provided treatment without support (Schmidt Reference Schmidt, Forand and Strunk2019). Including self-report measures of perceived social support during treatment could be a valuable future direction, helping to identify who benefits most from digital interventions.
Since Simon et al’s review was published, emerging high-quality studies have reinforced some of their conclusions. A large RCT (197 participants) found that trauma-focused internet-based CBT was non-inferior to in-person CBT for PTSD (Bisson Reference Bisson, Ariti and Cullen2022). Another large RCT demonstrated superiority of a NICE-recommended internet-delivered cognitive therapy programme for PTSD (iCT-PTSD) to both a face-to-face stress- (not trauma-) focused CBT and a waiting-list control (Ehlers Reference Ehlers, Wild and Warnock-Parkes2023). In both cases, the I-C/BT was trauma-focused and clinician-supported. In contrast, a smaller RCT (40 participants) found a minimally guided internet-based CBT programme no different from waiting list (Allen Reference Allen, Smith and Hobbs2022). These findings reinforce Simon et al’s earlier conclusions: trauma focus, therapist involvement and clinical expertise remain central. Simultaneously, differences between digital adaptations of NICE-approved models (e.g. iCT-PTSD) and other approaches (such as Allen et al’s prolonged exposure-based approach), as well as variation in platform quality, may further drive outcome heterogeneity. Acceptability, which was not reported in any of the included studies in Simon et al’s review, and efficacy seem to benefit from platform development in newer studies (Simon Reference Simon, Lewis and Smallman2023; Lundin Reference Lundin, Jansson-Fröjmark and Gustafsson-Björverud2024), but further evidence is needed on this emerging theme.
As more high-quality, head-to-head studies like these are published that could inform practice and policy, updating of the meta-analysis the Cochrane Review is based on may become necessary.
A note of caution on internet-based interventions
Although digital interventions improve accessibility, expecting them to be a panacea for systemic mental health service underfunding can be misleading. ‘Cost-effective’ labels may not translate in implementation, which requires ongoing infrastructure, clinical integration and meaningful patient involvement (NHS Confederation 2023; Wills Reference Wills, Mistry and Gowar2025). Moreover, other simple and cost-effective community-based practices, such as creative art and music therapies or collective storytelling, as used in indigenous cultures (Corntassel Reference Corntassel2009), have shown promise in supporting people with PTSD (Schouten Reference Schouten, de Niet and Knipscheer2015). These alternatives do not reject digital care, but caution against techno-solutionism – overreliance on digital tools to solve complex social and clinical problems (Pansare Reference Pansare2024).
Conclusions
Simon et al’s (Reference Simon, Robertson and Lewis2021) Cochrane Review offers preliminary support in favour of I-C/BT for the reduction of PTSD, depression and anxiety symptoms when compared with waiting list/TAU. However, the clinical utility of I-C/BT for PTSD remains elusive; the low certainty of evidence and lack of strict control conditions reveal an urgent need for improved research designs in assessing the utility of internet-based interventions for PTSD.
As digital therapies become more widespread, the compliance with NICE guidelines to ensure high-quality interventions is of crucial importance. Both the therapeutic alliance and intervention content are important considerations for recommended I-C/BT, as demonstrated by therapist guidance and trauma-focused approaches improving outcomes. The quality of some of the included I-C/BT interventions falls short, highlighting an important area for future improvement.
Author contributions
Both authors devised the article. G.W. wrote the first draft, apart from parts of the discussion and one of the information boxes, which were devised by A.R. Both authors revised subsequent drafts of the article.
Funding
This research received no specific grant from any funding agency, commercial or not-for-profit sectors.
Declaration of interest
None.
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