Abstract
Background
Internet-delivered cognitive behaviour therapy (ICBT), which can involve guidance from a clinician, continues to be a way to deliver psychological treatments. A previous umbrella review identified moderate-to-large effect sizes favouring ICBT compared to control conditions when treating major depression and anxiety disorders. Given the rapid developments in the field, an updated umbrella review of available meta-analyses can show other conditions and subpopulations for which ICBT is effective. The aim of the study was to provide an expanded overview of the efficacy of ICBT for a broader range of adult psychiatric and somatic conditions.
Methods
We conducted an updated search of the literature since the publication of the previous umbrella review back in 2019 and up until March 2024. Five different search engines were used (Medline (OVID), Scopus, Web of Science, Cochrane library and CINAHL). The search was expanded to include additional psychiatric conditions (e.g., suicidal ideation) and somatic conditions (e.g., tinnitus and chronic pain).
Results
Of the 6509 identified articles, 39 meta-analyses met the inclusion criteria. In these meta-analyses 19 unique outcomes were represented. The most common outcome was symptoms of major depressive disorder, followed by symptoms of anxiety. Effect sizes for the comparisons against control conditions ranged between small (e.g., SMD = 0.10 for stress in employees) to large (e.g., SMD = 1.20 for depressive symptoms among older adults).
Conclusions
ICBT can generally reduce symptoms of a wide range of conditions including both psychiatric and somatic conditions, as well as other mental health problems. This updated review of available meta-analyses also indicated that ICBT has been successful in treating symptoms in different subpopulations such as older adults and students. However, some knowledge gaps remain, including the use of ICBT for psychotic disorders, and the quality of the available meta-analyses’ points to a need for more stringent methodological procedures.
Keywords: ICBT, internet intervention, eHealth, cognitive behaviour therapy, psychiatric disorders, somatic disorders
Background
Since its emergence in the early 1970s, cognitive behaviour therapy (CBT) has become one of the most widely practiced and researched forms of psychotherapy worldwide. 1 Due to the vast amount of research on CBT and how effective it has been shown to be in clinical trials, CBT is often regarded as a first-line choice in treatment recommendations and guidelines for many mental disorders. 2 Meta-analyses support the notion that CBT is effective in treating a wide range of conditions, with average effect sizes in the moderate-to-large range compared to control groups both for anxiety disorders (effect size = 0.56), 3 depression (effect size = 0.71), 4 and other conditions such as insomnia (effect size = 0.98). 5
One notable change in the delivery of CBT occurred in the 1990s, during which the first initiatives to computerize CBT were made. 6 Computerized CBT subsequently evolved into what is now widely known as internet-delivered cognitive behaviour therapy (ICBT). 6 ICBT is a form of CBT in which the content is presented online in the form of text, but also pictures, videos and interactive features. 7 It differs from other kinds of internet-mediated psychotherapy, for example, therapy via video calls, in that the therapeutic elements (e.g., exercises and psychoeducation) are provided asynchronously and not by a therapist in real-time. ICBT can be delivered via devices with internet access, either through an app or a web platform. It can be delivered as pure self-help (where the client is provided access to the ICBT materials without any input from a therapist), with therapist support (where a therapist provides feedback and support on a weekly basis), or used in addition to face-to-face sessions with a therapist (blended ICBT). In comparison to previous delivery formats of CBT, such as individual therapy and group treatment, ICBT has several potential advantages. This includes increased flexibility for both patients and therapists in accessing and tailoring the treatment 8 and increased anonymity for people who would not otherwise choose to access face-to-face services. 9
Andersson and colleagues 10 conducted the first narrative umbrella review of ICBT for adults with affective and anxiety disorders. After selecting and reviewing the most recent meta-analyses at the time of the search (in 2018), the authors summarized the effects of therapist-supported ICBT in treating five disorders: major depression, panic disorder, posttraumatic stress disorder (PTSD), social anxiety disorder and generalized anxiety disorder (GAD). Moderate-to-large effect sizes for treating these disorders were found, showing that therapist-supported ICBT is likely to be more effective than control conditions not involving active treatment ingredients. While encouraging, Andersson et al. 10 reflected on a lack of meta-analytic reviews on specific phobias and obsessive-compulsive disorder (OCD). Further attention was also drawn toward evaluating the efficacy of transdiagnostic ICBT as well as the potential of ICBT to provide support for adults with more severe mental problems, such as schizophrenia. 10 Since the publication of the previous umbrella review, many studies focused on applying ICBT more broadly have been published, both in terms of diagnostic groups and problem areas but also in specific subpopulations. This includes studies on the effectiveness of such interventions in clinical practice 11 and the search for predictors of treatment success, such as demographic characteristics. 12 Additionally, the need for guidance by a therapist is also a topic that has generated some attention, with unguided interventions potentially expanding the reach of ICBT even more, though questions have arisen about whether the two approaches are equally effective. 13 Given the increasing number of studies and meta-analytic reviews in the field of ICBT, 14 an updated umbrella review could provide updated insights into conditions and problems for which ICBT is effective, whether the effects are consistent across subgroups (e.g., do we see similar results for younger adults and older adults?) and whether factors such as guidance influence the outcome. These questions are highly relevant since COVID-19 had a notable effect on the use of digital health services, 15 and with existing evidence of the pandemic's negative impact on mental health, 16 has likely led to an increase in ICBT program development and research. Indeed, there is research to support this hypothesis, with some studies indicating a 140% increase in demand of ICBT for insomnia, 17 and a 504% increased uptake for treatment of depression and anxiety disorders with ICBT. 18 The data also indicated an increased adherence during this time, compared to pre-pandemic numbers, in the treatment of insomnia, 17 but the opposite trend was seen in the treatment of depression and anxiety. 18 Yet, it is not clear whether existing research gaps, as previously outlined by Andersson et al., 10 have been addressed. For example, whether ICBT research has focused more on severe mental health conditions. Another example is whether there are any other tendencies in the ICBT research field to address raised criticisms, such as the common use of waitlist control groups. 19 The current study hoped to address these questions by providing an updated and expanded overview of the efficacy of ICBT for a broader range of adult psychiatric and somatic conditions.
Methods
We conducted a systematic umbrella review of meta-analyses published since the publication of the prior umbrella review 10 and expanded the search terms to also encompass somatic conditions, including hearing disorders and chronic pain, and some additional categories of psychiatric disorders, including eating disorders and schizophrenia spectrum disorders (for the somatic conditions the search was also conducted since the prior umbrella review, rather than since inception). Some terms and conditions were not included in the search, including substance use disorders. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) checklist was used in conducting the review (see online Supplementary Materials).
Search strategy and selection criteria
This umbrella review serves as an update on the prior review with its last search conducted in September 2018, 10 which was registered at PROSPERO (Identifier: CRD42018106156) with information regarding the review question, the specified search strategy, the inclusion/exclusion criteria and the quality of evidence-assessment. The preregistration was revised to account for the updated search strategy and changes to inclusion/exclusion criteria. Two of the authors (A.K and I.B.) searched Medline (OVID), Scopus, Web of Science, Cochrane Library and CINAHL for systematic reviews and meta-analyses. The first search was conducted in May 2022 and two updated searches were conducted on 14 February 2023 and 1 March 2024. The search terms are detailed in appendix B of the Online Supplementary Materials. The inclusion and exclusion criteria and examples of study characteristics meeting/not meeting the criteria are listed in Table 1. As opposed to the previous narrative umbrella review, we chose to include all meta-analysis/systematic reviews that met the inclusion criteria. This meant that for some conditions (e.g., symptoms of major depressive disorder) there were more than one meta-analysis included. One of the authors (I.B.) conducted an initial search in 2022 and identified 217 records. Two of the authors (I.B. and A.K.) conducted the updated searches with 219 identified reports. For the latter search, the interrater reliability for inclusion in the review was κ = .91. Additionally, one of the authors (A.K.) screened the reports identified for inclusion during the initial search. Any disagreements were discussed, and if needed the senior researcher (G.A.) was consulted for a final decision.
Table 1.
Inclusion/exclusion criteria.
| Inclusion Criteria | Example of Meeting the Inclusion Criteria | Example of Not Meeting the Inclusion Criteria |
|---|---|---|
| Written in English | – | – |
| Published between 1 January, 2019 and 1 March 2024. | – | – |
| Contain an effect size estimate generated from pooling the quantitative results from randomized controlled trials (can be from either a meta-analysis or a systematic review that provide a pooled estimate of the effect sizes compared to an active or control condition). | A meta-analysis or systematic review that provide an overall estimate of treatment efficacy relative to either a control (e.g., a waitlist) or an active condition (e.g., compared to face-to-face CBT). | Systematic reviews with no pooled estimate available (e.g., that provide a forest plot of effects sizes for the interventions, but no overall estimate). Pooled estimates including results from uncontrolled pre-post designs. |
| Use the internet to provide CBT in an asynchronous manner via either a web platform or an app. | A meta-analysis only focusing on studies using a web-platform app to provide CBT for a specific condition. | Sole usage of a discussion forum or a web page with psychoeducation about a condition. Telepsychiatric solutions where regular face-to-face therapy is provided via phone calls or videoconference solutions. Computer games aimed at disseminating CBT principles. |
| Provide effect size estimates from some version of therapy-derived CBT. | Estimates from meta-analyses of internet-based CBT or third wave therapies (e.g., ACT) | Purely psychoeducational interventions with no broader theoretical basis (e.g., offering information about symptoms, but not any kind of information on how to handle them). Apps containing psychoeducation or techniques with no explicit theoretical basis (e.g., breathing exercises without a broader mindfulness-based cognitive therapy orientation). Estimates from studies on cognitive training. |
| Focused on mental health problems, either as the primary problem or as related to somatic illness. | Meta-analyses of internet-interventions targeting psychiatric symptoms or psychological distress stemming from somatic illness (e.g., cancer-related psychological distress). | Meta-analyses of internet-based intervention effects on medicine adherence. |
Note. CBT: cognitive behaviour therapy; ACT: acceptance and commitment therapy.
Data extraction
Data extraction was performed by two of the authors (A.K. and I.B.) with A.K. extracting data from all the articles and I.B. extracting data from a subset of 14 articles. The interrater reliability was excellent, κ = .98, and the few discrepancies were checked and settled between the authors. For each article, we extracted the condition and target group, the number of comparisons used for the effect size estimate (the standardized mean difference, the odds ratio, or the unstandardized mean effect difference for fixed effects models), the total number of participants in the comparisons, the effect size for the treatment versus control comparison (the standardized mean difference; SMD), the 95% confidence interval for the comparison, the range of effect sizes for individual studies included in the meta-analysis and the heterogeneity estimate (I2; with confidence intervals when available). The I2 estimate was interpreted according to the rule-of-thumb of 0%–20% = no significant heterogeneity, 20%–40% = low heterogeneity, 40%–60% = moderate heterogeneity and >60% = high heterogeneity (20). For the effect size estimates, priority was given to the overall estimate. Where available we also extracted separate estimates for unguided ICBT versus control groups and guided ICBT versus control groups, including active comparisons between the two. With regard to the target condition, we used the primary outcome/outcomes as it were specified in the meta-analysis. In reviews where the authors specified multiple primary outcomes, we extracted all outcomes that were symptoms of psychiatric and/or somatic conditions. For consistency across all outcome measures, we extracted all effect size estimates in such a way that higher estimates favour ICBT over the control condition.
Confidence of evidence
The confidence of evidence for each meta-analysis was assessed using the AMSTAR-2 rating system. 20 To optimize the assessment of the reviews, we conducted a two-step evaluation. First, we assessed reviews using the AMSTAR-2 algorithm implemented on the instrument's website (https://amstar.ca/Amstar_Checklist.php). The algorithm generates a global score, ranging from critically low to high. This score is based on all 16 ratings and provides an overall estimate. Second, we devised a way of rating confidence based on a subset of the instrument domains that was considered to be relevant and important for psychological treatments more specifically. This rating was based on six of the items: (1) Establishment of methods prior to conduction of the literature search (i.e., preregistration), (2) How comprehensive the literature search was, (3) Adequate assessment of Risk of Bias (RoB), (4) Use of appropriate methods for pooling data and investigating heterogeneity, (5) Accounting for RoB when interpreting the findings and (6) An investigation of publication bias. To supplement these critical domains, we also used the ratings on the following noncritical domains: (1) Clear criteria set according to the PICO framework, (2) Study selection done in duplicate, (3) Data extraction done in duplicate, (4) Adequate description of studies, (5) Assessing the impact of RoB on the quantitative results, (6) Provide a discussion of the heterogeneity and (7) Reporting of conflicts of interest. Across the 13 items, we provided a rating of yes, partial yes, or no. For a rating of high or moderate, studies had to meet the criteria for all six critical domains. The difference between high or moderate was based on whether the article had a noncritical weakness in the other domains or not. No noncritical weaknesses meant a high confidence rating, and one or more eligible noncritical weaknesses led to a moderate confidence rating. One critical weakness led to a low rating, and more than one critical weakness led to a critically low rating. The authors A.K. and I.B. both assessed a subset of articles (n = 10). The interrater reliability across all items was good, κ = .80, and any discrepancies were discussed among all the authors. The author A.K. then assessed the remaining papers.
Results
Results of the literature search
A flowchart of the search process is given in Figure 1. In total, 6509 articles were identified, out of which 436 were screened as full text. A total of 39 articles were included in the umbrella review.
Figure 1.
PRISMA Flow Diagram.
Characteristics of included studies
The study characteristics are listed in Tables 2–4. Full AMSTAR-2 ratings are available as part of the online Supplementary Materials.
Table 2.
Recent meta-analyses of ICBT interventions targeting depressive symptoms, parasuicidal outcomes and grief.
| Meta-analysis | Condition(s) | Notes | Comparisons Included | Total participants (N) | Effect Size Estimate [95% CI] | Effect Size Range | I2 [95% CI] | AMSTAR Rating Based on Critical Domains |
|---|---|---|---|---|---|---|---|---|
| Harrer et al. (2019) | Depressive symptoms in university students | 19 | 10 583 a | 0.28 [0.15, 0.40] | −0.07 to 0.74 | 45% [6, 68] | Low | |
| Loughnan et al. (2019) | Perinatal depressive symptoms | 5 | 595 a | 0.60 [0.43, 0.78] | 0.48–1.18; | 0% | Critically low | |
| Mehta et al. (2019) | Depressive symptoms in populations with chronic health conditions | 25 | 3450 | 0.31 [0.27, 0.35]; 0.64 [0.49, 0.79] for guided treatments; 0.45 [0.27, 0.63] for unguided treatments | Not reported | 81% for overall estimate | Low | |
| Noh et al. (2023) | Depressive symptoms in adolescents and young adults | 11 | 1704 | 0.35 [0.11, 0.60] | −0.19 to 1.25 | 82% | Critically low | |
| de Oliveira et al. (2023) | Depressive symptoms in older adults | 4 | 219 | 1.20 [0.81–1.60] | 0.82–1.38 | 0% | Critically low | |
| Roman et al. (2020) | Postpartum depression | 6 | 635 | 0.54 [0.42, 0.72] | 0.19–1.08 | 25% | Critically low | |
| Ma et al. (2021) | Depressive symptoms in college students | 12 | 800 | 0.42 [0.27, 0.57] | −0.42 to 1.79 | 7% | Low | |
| Schiller et al. (2023) | Depressive symptoms | Remission and response rates only | 6 for remission rate, 3 for response rate | 619 for remission rate, 331 for response rate | OR for remission = 10.30 [5.70–18.60]; OR for response = 3.57 [0.86–14.78] | 6.98–19.64 for remission; 1.18–11.69 for response | 0% for remission rate, 79% for response rate | Low |
| Mu et al. (2021) | Postpartum depression | 7 | 2277 | 0.64 [0.51, 0.81]; 0.69 [0.61, 0.79] for guided treatments; 0.37 [0.18, 0.76] for unguided treatments | 0.26–0.91 | 60% for the overall estimate | Low | |
| Thompson et al. (2021) | Depressive symptoms | Only ACT | 27 | 4839 a | 0.38 [0.28, 0.49] | 0.04–1.00; | 35% | High |
| Klimczak et al. (2023) | Depressive symptoms | Transdiagnostic ACT treatments | 27 | 10 730 a | 0.44 [0.32, 0.57] | −0.35 to 1.27 | 53% | Critically low |
| White et al. (2022) | Depressive symptoms in patients with chronic health conditions | 39 | 6066 a | 0.34 [0.22–0.45] | −0.47 to 1.28 | 74% [65, 81] | High | |
| Mancinelli et al. (2022) | Depressive symptoms in pregnant women | 7 | 1633 | 0.36 [0.11, 0.61] | −0.11 to 0.99 | 65% | High | |
| Gandy et al. (2022) | Depressive symptoms in patients with chronic pain | 33 | 5778 a | 0.43 [0.33, 0.54]; 0.48 [0.37, 0.59] for guided treatments; 0.32 [0.11, 0.53] for unguided treatments | 0.05–1.26 | 64% [48, 75] for the overall estimate | High | |
| Lee et al. (2023) | Depressive symptoms in patients with insomnia | 21 | 10 465 | 0.42 [0.28, 0.56]; 0.43 [0.26, 0.61] for unguided treatments | −0.06 to 0.84 | 82% for the overall estimate | High | |
| Liu et al. (2022) | Depressive symptoms in patients with cancer | 13 | 2179 | 0.27 [0.09, 0.44]; 0.36 [0.23, 0.49] for guided treatments; 0.14 [0.03, 0.26] for unguided treatments | −0.46 to 1.20 | 72% for the overall estimate | Critically low | |
| Chan et al. (2022) | Depressive symptoms | 14 | 1671 | 0.49 [0.27, 0.71] | −0.22 to 1.59 | 74% | Low | |
| Stratton et al. (2022) | Depressive symptoms in employees | 23 | 4961 a | 0.11 [0.06, 0.17] | −0.21 to 0.66 | 50% | Low | |
| Sander et al. (2023) | Depressive symptoms in participants seeking help for suicidal ideation | IPD | 8 | 1980 | 0.30 [0.17–0.43] | – | – | Low |
| Han and Kim (2022) | Depressive symptoms | Only behavioural activation | 31 | 4124 | 0.35 [0.27, 0.44]; | −0.14 to 1.04 | 34% | Critically low |
| Reins et al. (2021) | Subthreshold depressive symptoms | IPD | 7 | 2186 | 0.39 [0.25–0.53] | N/A | N/A | High |
| Wagner et al. (2020) | Grief after bereavement | 7 | 1257 | 0.54 [0.30, 0.78] | 0.13–0.92 | 60% | High | |
| Büscher et al. (2020) | Suicidal ideation | 6 | 1567 | 0.29 [0.19, 0.40] | 0.02–0.38 | 0% | High | |
| Büscher et al. (2022) | Suicidal ideation | IPD | 9 | 2037 | 0.25 [0.17, 0.32] | N/A | N/A | High |
| Torok et al. (2020) | Suicidal ideation | 6 | 1234 | 0.14 [−0.06 to 0.34] | 0.09–0.34 | 0% [0, 0] | High |
Note. ACT: acceptance and commitment therapy; IPD: individual patient data meta-analysis.
When an exact number for the specific subgroup analysis is unavailable, the number of studies and/or the total number of participants denote the entire sample included in the meta-analysis.
Table 4.
Recent meta-analyses of ICBT interventions targeting symptoms of somatic conditions, sleep disorders and stress.
| Meta-analysis | Condition(s) | Notes | Comparisons Included | Total Participants N | Effect Size Estimate [95% CI] | Effect Size Range | I2 [95% CI] | AMSTAR Rating Based on Critical Domains |
|---|---|---|---|---|---|---|---|---|
| Beukes et al. (2019) | Hearing impairment and tinnitus | 15 | 1811 | Hearing disability = 0.35 [−0.02, 0.72; tinnitus = 0.50 [0.37, 0.63] | Hearing disability = −0.37 to 0.93; Tinnitus = 0.04, 0.83 | Hearing disability = 11%; Tinnitus = 0% | Low | |
| White et al. (2022) | Distress in patients with chronic health conditions | 15 | 6066 a | 0.49 [0.30–0.69] | Not reported | 76% [62, 85] | High | |
| Gandy et al. (2022) | Chronic pain disability in patients with chronic pain | 40 | 5778 a | 0.28 [0.21, 0.35]; 0.38 [0.28, 0.47] for guided treatments; 0.16 [0.08, 0.23] for unguided treatments | 0.00–1.25 | 33% [2, 55] for overall estimate | High | |
| Lee et al. (2023) | Insomnia | 19 | 8387 | 0.81 [0.65, 0.97]; 0.43 [0.26, 0.61] for unguided treatments | −0.26 to 1.34 | 80% for the overall estimate | High | |
| Tsai et al. (2022) | Insomnia in young people | 4 | 3970 | 0.58 [0.13–1.03] | −0.35 to 1.31 | 84% | High | |
| Simon et al. (2023) | Insomnia | Network meta-analysis | 16 for unguided ICBT, 10 for guided ICBT | 12 544 a | 0.71 [0.24, 1.18] for guided treatments; 0.78 [0.38, 1.18] for unguided treatments | Not reported | Not reported | High |
| Mancinelli et al. (2022) | Sleep quality in pregnant women | 3 | 289 | 0.40 [−0.08, 0.88] | −0.11 to 0.99 | 65% | High | |
| Harrer et al. (2019) | Stress in university students | 9 | 10 583 a | 0.20 [0.02, 0.38] | −0.35 to 1.26 | 78% [58, 88] | Low | |
| Stratton et al. (2022) | Stress in employees | 19 | 7949 a | 0.10 [0.04, 0.16] | −0.17 to 0.61 | 62% | Low | |
| Svärdman et al. (2022) | Elevated stress | 14 | 1831 | 0.78 [0.66, 0.90] | 0.46–1.25 | 35% [32, 68] | Low |
Note. ICBT: internet-based cognitive behaviour therapy.
When an exact number for the specific subgroup analysis is unavailable, the number of studies and/or the total number of number of participants denote the entire sample included in the meta-analysis.
Depressive symptoms
The most common outcome in the meta-analyses published during the time frame was symptoms of depression. In total, 21 meta-analyses21–41 included symptoms of depression as the primary outcome and the effect sizes in these studies ranged from very small (SMD = 0.11) 34 to large (SMD = 1.20). 23 One meta-analysis 40 analysed remission status and response status and found that ICBT led to a larger proportion of clients reaching remission as compared to control conditions but not to a significantly increased chance of treatment response. The populations covered in the studies included individuals with subclinical symptom levels, 31 those with somatic disorders,22,35 or specifically targeted university students.24,27 Six of the meta-analyses on depressive symptoms (29%) as a primary outcome had a high AMSTAR-2 rating based on the critical domains. The rest were assessed as either low (38%, n = 8) or critically low (33%, n = 7).
Suicidal ideation
Three meta-analyses focused on suicidal ideation as the primary outcome,42–44 and two out of the three showed a small but statistically significant reduction of suicidal ideation (range of SMDs = 0.25–0.29). The AMSTAR-2 ratings of the critical domains were high for all reviews.
Grief
One meta-analysis focused on grief following bereavement. 45 The estimate based on the seven comparisons of ICBT for this problem pointed to a moderate symptom reduction compared to the control conditions (SMD = 0.54). The meta-analysis had a high rating for the critical AMSTAR-2 domains.
Anxiety symptoms
A total of 15 reviews used anxiety symptoms as the primary outcome.22,24–29,33–37,39,46 The effect sizes ranged from very small (SMD = 0.11) 33 to large (SMD = 1.14). 35 As with the reviews focusing on depressive symptoms, meta-analyses using anxiety symptoms as the outcome were conducted on different populations, including workplace-related settings, 33 during pregnancy,26,28,40 and among persons with chronic health conditions.22,29 A third (33%) of the reviews (n = 5) had a high AMSTAR-2 rating of the critical domains. For the remaining reviews, one (7%) was rated as moderate, 27% (n = 4) were rated as low and 33% (n = 5) were rated as critically low.
Anxiety disorders
Seven meta-analyses focused specifically on symptoms and/or diagnosis of an anxiety disorder or PTSD.47–53 Of these, two focused on panic disorder with or without agoraphobia, two focused on PTSD and one focused on social anxiety disorder. Additionally, the meta-analysis by Cervin and Lundgren 47 used remission of the primary diagnosis as one of the primary outcomes and the review by O’Kearney et al. 51 investigated the efficacy of ICBT relative to an equivalent face-to-face treatment for symptoms of social anxiety disorder, panic disorder and specific phobias. The disorder-specific anxiety outcomes showed significant reductions relative to passive control groups, with estimates ranging from moderate (SMD = 0.55) 49 to large (SMD = 1.15). 48 Compared to active control groups and equivalent face-to-face treatments, there were no statistically significant differences on any of the outcomes. For confidence rating according to the critical domains of the AMSTAR-2 system, 29% (n = 5) of the meta-analyses assessing symptoms of anxiety disorders and PTSD were graded as high. The majority were assessed as either low (41%, n = 7) or critically low (35%, n = 6).
Stress
Three meta-analyses reported on stress-related outcomes, each in different settings.24,33,54 Effect sizes were all statistically significant and ranged from very small to small in a workplace setting and in university students (SMD = 0.10 and 0.20), to moderate-to-large in studies on samples with elevated stress levels (SMD = 0.78). All these reviews received a low AMSTAR-2 rating for the critical domains.
Eating disorders
Two meta-analyses with a total of 12 comparisons assessed the effects of ICBT in reducing eating disorder psychopathology.24,55 One of these focused on eating disorders symptoms more broadly, and the other focused on symptoms of binge eating disorder specifically. The effect size for the comparison against the control group was moderate (SMD = 0.52) in a review focusing on university students, and moderate-to-large (SMD = 0.71) in a meta-analysis conducted on studies with community samples. The AMSTAR-2 ratings of the critical domains were low or critically low, respectively.
Somatic disorders
With regard to somatic symptoms and disorders, we found one meta-analysis focused on symptoms of hearing impairment and tinnitus distress. 56 This review reported a small and a moderate reduction (SMD = 0.35 for hearing disability, SMD = 0.50 for tinnitus distress), respectively, compared to control conditions. The AMSTAR-2 rating of the critical domains for the review was low. One meta-analysis had distress among patients with different chronic health conditions as a primary outcome and found a moderate effect size (SMD = 0.49) across the included comparisons. 29 The AMSTAR-2 rating for the critical domains was high. Lastly, the search located one meta-analysis with pain disability as the primary outcome. 22 The reported effect size was small (SMD = 0.28) and the AMSTAR-2 rating of critical domains was high.
Sleep
For sleep disorders, three meta-analyses focused on insomnia symptoms37,57,58 and one on sleep quality in pregnant women. 28 Significant reductions of insomnia symptoms were reported in all three meta-analyses, with moderate effect sizes (SMD = 0.58 and 0.71) in two50,51 and large effects (SMD = 0.81) in one. 38 Comparable estimates were found for unguided and guided versions of ICBT. The meta-analysis reporting on the effects of sleep quality in pregnant women did not report a significant reduction relative to the control conditions. 29 The AMSTAR rating for the critical domains were high for all four reviews.
Guided and unguided versions of ICBT
Separate estimates for guided and unguided versions of ICBT can been seen in Tables 2, 3 and 4. A total of seven studies reported separate estimates for guided and unguided versions of ICBT in their studies.22,25,29,30,49,52,57 Additionally, one study reported estimates for unguided trials of ICBT but did not calculate an estimate for guided versions. 37 Finally, one study reported on direct comparisons between guided and unguided ICBT targeting anxiety symptoms. 59 Overall, all the estimates of guided ICBT suggested a significant effect of this treatment format on all kinds of symptoms (i.e., the confidence intervals did not contain zero). Four of the studies reported on depressive symptoms,22,25,29,30 three on anxiety symptoms,22,25,29 one specifically on symptoms of social anxiety disorder, 49 one on PTSD, 52 one on insomnia, 57 and one on chronic pain. 22 For unguided ICBT, significant symptom reduction was seen for depressive symptoms,22,25,29,30,37 anxiety symptoms,22,25,29,37 for social anxiety disorder, 49 for insomnia, 57 but not for PTSD. 52 For direct comparisons, one study 59 reported a small but significant difference (SMD = 0.16) between in favour of guided treatments targeting anxiety symptoms.
Table 3.
Recent meta-analyses of ICBT interventions targeting anxiety disorders, PTSD, obsessive-compulsive disorder and eating disorders.
| Meta-analysis | Condition(s) | Notes | Comparisons Included | Total Participants (N) | Effect Size Estimate [95% CI] | Effect Size Range | I2 [95% CI] | AMSTAR Rating Based on Critical Domains |
|---|---|---|---|---|---|---|---|---|
| Bayrampour et al. (2019) | Perinatal anxiety symptoms | 4 | 218 | 0.41 [0.11, 0.71] | 0.23–0.61 | 0% | Critically low | |
| Loughnan et al. (2019) | Perinatal clinical anxiety symptoms | 4 | 1128 a | 0.54 [0.24, 0.85] | 0.29–0.78 | 0% | Critically low | |
| Liu et al., (2022) | Anxiety symptoms in patients with cancer | 12 | 2079 | 0.37 [0.12, 0.62]; 0.38 [0.25, 0.51] for guided treatments; 0.17 [0.05, 0.28] for unguided treatments | −0.01 to 2.35 | 86% for the overall estimate | Critically low | |
| Mehta et al. (2019) | Anxiety symptoms in populations with chronic health conditions | 25 | 3450 | 0.45 [0.36, 0.54]; 0.57 [0.45, 0.69] for guided treatments; 0.54 [0.46, 0.62] for unguided treatments | Not reported | 69% for the overall estimate | Low | |
| Mancinelli et al. (2022) | Anxiety symptoms in pregnant women | 3 | 299 | 1.96 [1.21, 2.72] b | 1.10–2.29 b | 0% | High | |
| Thompson et al. (2021) | Anxiety symptoms | Only ACT | 20 | 4839 a | 0.24 [0.16, 0.33] | 0.01–0.62 | 0% | High |
| Klimczak et al. (2023) | Anxiety symptoms | Transdiagnostic ACT treatments | 22 | 10 730 a | 0.30 [0.17, 0.43] | −0.30 to 0.98 | 43% | Critically low |
| Oey et al. (2023) | Anxiety symptoms | Guided vs. unguided ICBT | 13 | 1414 | 0.16 [0.03, 0.28] in favour of guided treatments | −0.22 to 0.53 | 24% | Moderate |
| White et al. (2022) | Anxiety symptoms in patients with chronic health conditions | 31 | 6066 a | 0.22 [0.13–0.32] | −0.33 to 1.12; | 63% [45, 74] | High | |
| de Oliviera et al. (2023) | Anxiety symptoms in older adults | 4 | 219 | 1.14 [0.72, 1.56] | 0.72–1.96 | 1% | Critically low | |
| Gandy et al. (2022) | Anxiety symptoms in patients with chronic pain | 25 | 5778 a | 0.32 [0.24, 0.40]; 0.39 [0.31, 0.48] for guided treatments; 0.18 [0.07, 0.30] for unguided treatments | 0.05–0.70 | 25% [0, 54] | High | |
| Lee et al. (2023) | Anxiety symptoms in patients with insomnia | 18 | 8928 | 0.29 [0.19, 0.40]; 0.29 [0.17, 0.41] for unguided treatments | −0.22 to 0.53 | 58% for the overall estimate | High | |
| Sander et al. (2023) | Anxiety symptoms in participants seeking help for suicidal ideation | IPD | 8 | 1980 | 0.16 [−0.04 to 0.36] | – | – | Low |
| Stratton et al. (2022) | Anxiety symptoms in employees | 14 | 7949 | 0.11 [0.04, 0.19] | −0.15 to 0.76 | 10% | Low | |
| Harrer et al. (2019) | Anxiety symptoms and eating disorder symptoms in university students | 21 for anxiety outcomes, 9 for eating disorders | 10 583 a | Anxiety = 0.36 [0.23, 0.50]; Eating disorders = 0.52 [0.22, 0.82] | Anxiety = −0.55 to 0.96; Eating disorders = 0.16–0.68 | Anxiety = 43% [5, 66]; Eating disorders = 61% [18, 81] | Low | |
| Moghimi et al. (2021) | Binge eating disorder psychopathology | 3 | 298 | 0.71 [0.22, 1.01] | 0.38–1.17 | 77% [15, 64] | Critically low | |
| Domhardt et al. (2020) | Panic disorder | 16 | 1015 | 1.15 [0.74, 1.56]; | 0.25–2.61 | 79% | Low | |
| Polak et al. (2021) | Panic disorder | Only active comparisons | 10 | 744 | 0.02 [−0.16, 0.13] | −0.34 to 0.41 | 0% | Critically low |
| Cervin and Lundgren (2021) | Paediatric anxiety disorders | 9 | 711 | OR of remission for primary anxiety disorder = 4.73 [3.11, 7.29]; Youth-reported anxiety = 0.13 [−0.03, 0.28]; Caregiver-reported anxiety = 0.27 [0.04, 0.51] | Not reported | 0% [0, 56] for remission data; 0% [0, 55] for Youth-reported anxiety; 41% [0, 88] for Caregiver-reported anxiety | Low | |
| Guo et al. (2021) | Social anxiety disorder | 20 | 1743 | 0.55 [0.55, 0.74]; 0.81 [0.63, 0.99] for guided treatments with experienced therapists; 0.82 [0.67, 0.97] for guided treatments with inexperienced therapists; 0.68 [0.41, 0.94] for unguided treatments | −0.40 to 1.28 | 72% for the overall estimate | Low | |
| Lewis et al. (2019) | PTSD | 8 | 560 | 0.60 [0.24, 0.97] | −0.05 to 1.82 | 76% | Low | |
| Simon et al. (2021) | PTSD | 10 | 608 | 0.61 [0.29, 0.93]; 0.78 [0.47, 1.09] for guided treatments; 0.09 [−0.22, 0.39] for unguided treatments | −0.05 to 1.82 | 69% for the overall estimate | High | |
| O’Kearney et al. (2019) | ICBT versus face-to-face treatments for anxiety disorders | Only active comparisons | 4 for social anxiety, 4 for panic disorder, 1 for specific phobia | 885 | 0.01 [−0.32, 0.35] for social anxiety; −0.14 [−0.33, 0.05] for panic disorder; −0.22 [−0.91, 0.48] for specific phobias | −0.30 to 0.38 for social anxiety; −0.30 to 0.02 for panic disorder; N/A for specific phobia | 64% for social anxiety; 0% for panic disorder; N/A for specific phobia | Critically low |
Note. ACT: acceptance and commitment therapy; ICBT: internet-based cognitive behaviour therapy; IPD: individual patient data meta-analysis; PTSD: posttraumatic stress disorder.
When an exact number for the specific subgroup analysis is unavailable, the number of studies and/or the total number of number of participants denote the entire sample included in the meta-analysis.
The estimate is the unstandardized mean difference from a fixed effects model.
Discussion
This umbrella review was an updated and expanded view of the evidence of ICBT for psychiatric and somatic conditions. In contrast to the previous umbrella review, 10 this updated review included all meta-analyses for the selected conditions published between 2019 and March 2024 instead of focusing on the most recent reviews. The literature search resulted in over 6000 hits, out of which we included 39 unique meta-analyses. As a starting point, the results illustrate a continuous effort in developing and evaluating ICBT for a diverse set of populations, including those suffering from specific psychiatric symptoms such as suicidal ideation, but also from different demographic groups, such as students or older adults. Our findings also show that ICBT has been tested for several somatic conditions such tinnitus and other hearing problems, chronic pain and insomnia. In addition, as evident by the small-to-moderate effect sizes, ICBT can be regarded as a potential way to treat adults with psychiatric and somatic conditions. The expanded scope of these findings compared to the previous umbrella review also provides an indication the ICBT could be a valuable asset in regular care settings for other conditions than psychiatric disorders, such as chronic pain and work-related stress.
The effect sizes for anxiety disorders found in our review are generally similar to the ones found for more traditional forms of CBT, 3 which is in line with the finding that ICBT and face-to-face treatments produce equivalent efficacy. 60 For depressive symptoms, the estimates in many populations are somewhat smaller than the overall estimate for CBT 4 although studies with both higher and lower effect sizes were found for the search. Importantly, when compared directly in the aforementioned study, 60 the two modes of administering CBT did not differ significantly, which suggests clinical utility for this kind of treatment whether administered in person or via the internet. In relation to the previous umbrella review, ICBT continues to be used as a way of providing psychological treatments for a wide range of conditions. This is seen not only in the number of meta-analyses included in the review (which would simply be a consequence of including all studies, rather than selecting one or a few per condition) but also in the different target populations for whom ICBT has been applied. For example, a total of 21 meta-analyses used symptoms of major depressive disorder as a primary outcome and many of these targeted a distinct group suffering from these symptoms, such as patients with chronic health conditions or women with postpartum depression.
The effects of ICBT
The inclusion of all meta-analytic reviews during the search period provides a broad overview of the effects of ICBT. The effect size estimates for the meta-analyses identified in our search commonly showed small or moderate effects across the different target groups and conditions, with all but two meta-analyses showing a significant treatment effect. Of note is that the effect sizes included in this umbrella review were generally somewhat smaller than the ones found in the previous review. 10 Some methodological factors may have contributed to this finding. First, the estimates that were extracted in our review could include both passive and active control conditions, as well as guided and unguided versions of ICBT. The availability of therapist guidance has been linked to better treatment outcomes, 13 which may explain part of the trend toward lower estimates in this updated review. Second, the choice to include all studies could also have led to the inclusion of studies in which participants may not have been recruited on the basis of having clinical symptoms levels, such as ICBT for mental health outcomes in a workplace setting. 33 This could provide a ceiling effect on how much benefit can be derived from the intervention and subsequently influence the overall estimate presented in the meta-analysis. Though the diversity in populations provide important insights into the effects of ICBT in different settings and groups, this should be considered when interpreting the extracted data, particularly for the most common conditions (e.g., symptoms of major depressive disorder and anxiety symptoms). Another thing of note in relation to the effects is that a substantial number of the meta-analysis had a critically low rating of confidence according to the AMSTAR ratings. This is an important finding that points to a need for more stringent methodological procedures when conducting such analyses of ICBT interventions and its effects on different populations. These AMSTAR ratings should be kept in mind when interpreting the findings from the review. Overall, however, the small-to-moderate effect sizes suggest that ICBT can be effective in reducing symptoms of common mental health problems including depression, stress, and anxiety disorders such as panic disorder.
The need for therapist-guidance and whether it leads to better outcomes is a topic of discussion within the field of ICBT. Direct comparisons between guided and unguided treatments have been suggested to give an edge to treatments where a therapist provides support, both in terms of efficacy and for reducing the risk for dropout. 13 The direct comparison included in our umbrella review also suggested that guided interventions had significantly steeper reductions of symptoms of anxiety 59 although the effect size for the comparison was small. In general, unguided treatments were also shown to have significant effects for many different disorders and symptoms, including insomnia, 57 social anxiety, 49 and depressive symptoms.22,29 The exception to this trend was PTSD, 52 where the unguided versions of ICBT did not provide the kind of benefits seen for guided treatments. To add to this, guided treatments generally had higher effect size estimates (although the opposite finding can be seen in insomnia) than unguided treatments. As these comparisons were not tested directly, it is not possible to draw definitive conclusions about the efficacy relative to one another, but the general findings could be taken as a sign that both modes of support are generally able to achieve a positive outcome when treating a broad number of conditions and problems. Future research should compare the two approaches directly in well-powered trials targeting different disorders and conditions to investigate whether the benefits of guidance are more pronounced in certain populations.
The expanded use of ICBT
The expanded number of conditions we included resulted in estimates for eight conditions not found in the previous umbrella review: hearing impairment, tinnitus, chronic pain disability, insomnia, emotional distress, stress, eating disorder symptoms and sleep problems. Still, some of the proposed targets named in the previous umbrella review were also not found in this updated search which included search terms specifically for these disorders. This includes ICBT for obsessive-compulsive disorder and related disorders, and other psychiatric conditions such as bipolar disorder and schizophrenia. For the former, there are previous indications that ICBT is both effective and feasible, 61 but an updated review of the field would be a welcome addition. For schizophrenia, the lack of meta-analyses most likely reflects a lack of studies conducted, although there are indications that ICBT can be feasible as an add-on to other psychological and pharmaceutical treatments. 62 Additionally, we only found one review 37 focusing on either transdiagnostic or tailored versions of ICBT like the meta-analysis found in the previous umbrella review. 63 All in all, the findings in this updated review suggests that the effects of ICBT extends beyond the outcomes that that were the focus of the previous study. However, some of the same knowledge gaps that were identified then remain to this day and additional syntheses of available ICBT trials are important in these areas.
Assessing outcomes of ICBT
An interesting observation is that the studies included in the meta-analytic reviews included almost exclusively used questionnaire data as outcomes. Only one review by Cervin and Lundgren 47 used a diagnostic criterion for evaluating the efficacy of the treatments. Additionally, one meta-analysis focused on remission and response status in ICBT treatments of depressive symptoms. 40 Although a diagnostic evaluation is not always possible, such as in the case of subthreshold symptoms, 31 the use of more stringent criteria (e.g., a blinded diagnostic assessment) for evaluating treatment effects would be informative. This could also be important for providing indications for which forms of ICBT should be implemented in regular care settings, as patients within these settings might be more likely to meet the criteria for a psychiatric diagnosis. The finding that diagnostic status was not reported in all but one study highlights the need for providing this information both when detailing the results from individual RCTs and also when aggregating the results in systematic reviews and in meta-analyses.
Strengths and limitations
In this umbrella review, we screened over 400 research articles after more than 6000 research hits were returned during the research process across five commonly used research databases. The umbrella review addressed some of the limitations found in the previous one, but there are others that should be acknowledged. First, the choice to include more than one meta-analysis per condition and to include additional conditions contributed to heterogeneity that made it harder to draw overarching conclusions about the effects of ICBT. Because the included reviews targeted different populations and had different inclusion criteria, even estimates for the same conditions and similar outcomes can be hard to compare across reviews. It is important to note that the aim of our umbrella review was not to provide an overall weighted average estimate of the effects of ICBT, but rather to provide insights into a selection of conditions and populations for which ICBT has been used. Future studies could synthesize the quantitative findings in ways that provide a unified effect size estimation, but this was considered out of scope for the present umbrella review. Second, the assessment of critical domains for the AMSTAR is not the conventional use of these ratings, and this should be accounted for when interpreting the findings. However, we believe that the rating system based on critical domains better represents the strengths and flaws found within the context of psychological treatments. The complete ratings can also be accessed in the supplementary materials, making this information available for interested readers. Third, due to the large number of identified reviews, we had to limit the screening to peer-reviewed publications searchable in commonly used academic databases. Further research efforts are encouraged in screening the gray literature as well as other sources, including manually screening reference lists. Fourth, while the principles of CBT can be disseminated in several ways, we choose to only include the studies that met the inclusion criteria for how ICBT has traditionally been developed and disseminated (e.g., using a web platform with asynchronous therapist contact). This choice of criteria allows for a more homogeneous set of studies to be included, which facilitates comparisons between studies and across conditions. However, this also means that other approaches that could be as effective are not represented in our results, whether they are based on different therapeutic orientations or other principles of dissemination. Lastly, the search terms did not encompass all psychiatric disorders and somatic conditions for which ICBT has been used. Because of this limitation, the absence of meta-analyses on ICBT targeting a specific condition in this umbrella review (e.g., substance use disorders) does not mean that such reviews do not exist. The scope of the search terms should be remembered while interpreting the findings from the systematic database searches. Expanding the search terms in future studies would allow for even broader conclusions than what is available in this umbrella review.
Conclusions and future directions
This updated overview of 39 meta-analyses is in line with the conclusions made in the previous umbrella review and suggests that ICBT is an effective way to treat several mental health problems. The current review also provides an indication that this is the case for some somatic disorders, for example, chronic pain and tinnitus. Additionally, the diverse populations for which ICBT has been used successfully suggests that the treatment effects are generalizable to many subgroups, including among older adults and in student populations. Despite this, there is still a lack of knowledge about the efficacy of ICBT for several psychiatric conditions and a lack of robust information about for whom ICBT works best, both of which should be addressed in future studies. Many meta-analyses were also found to have methodological flaws, which highlights the need for improved procedures when conducting similar reviews and analyses in the future.
Supplemental Material
Supplemental material, sj-docx-1-dhj-10.1177_20552076241287643 for Internet-delivered cognitive behaviour therapy for affective disorders, anxiety disorders and somatic conditions: An updated systematic umbrella review by Anton Käll, Ieva Biliunaite and Gerhard Andersson in DIGITAL HEALTH
List of abbreviations
- ACT
Acceptance and commitment therapy
- AMSTAR
A MeaSurement tool to assess systematic reviews
- CBT
Cognitive behaviour therapy
- DBT
Dialectical behaviour therapy
- GAD
Generalized anxiety disorder
- ICBT
Internet-delivered cognitive behaviour therapy
- IPD
Individual patient data meta-analysis
- OCD
Obsessive-compulsive disorder
- PRISMA
Preferred reporting items for systematic reviews and meta-analyses
- PTSD
Posttraumatic stress disorder
- RoB
Risk of bias
Footnotes
Contributorship: IB, GA and AK designed the study. IB and AK conducted the data collection, with supervisory help from GA when needed. IB and AK drafted the manuscript. GA checked and revised the manuscript. All authors have read and approved the final manuscript.
The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.
Funding: This study was sponsored in part by a professor’s grant by Linköping University to Professor Gerhard Andersson.
Trial registration: PROSPERO Identifier: CRD42018106156
ORCID iD: Anton Käll https://orcid.org/0000-0003-1579-8791
Supplemental material: Supplemental material for this article is available online.
References
- 1.Thoma N, Pilecki B, McKay D. Contemporary cognitive behavior therapy: a review of theory, history, and evidence. Psychodyn Psychiatry 2015; 43: 423–461. [DOI] [PubMed] [Google Scholar]
- 2.David D, Cristea I, Hofmann SG. Why cognitive behavioral therapy is the current gold standard of psychotherapy. Front Psych 2018; 9: 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Carpenter JK, Andrews LA, Witcraft SM, et al. Cognitive behavioral therapy for anxiety and related disorders: a meta-analysis of randomized placebo-controlled trials. Depress Anxiety 2018; 35: 502–514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cuijpers P, Berking M, Andersson G, et al. A meta-analysis of cognitive-behavioural therapy for adult depression: alone and in comparison with other treatments. Can. J. Psychiatry 2013; 58: 376–385. [DOI] [PubMed] [Google Scholar]
- 5.van Straten A, van der Zweerde T, Kleiboer A, et al. Cognitive and behavioral therapies in the treatment of insomnia: a meta-analysis. Sleep Med Rev 2018; 38: 3–16. [DOI] [PubMed] [Google Scholar]
- 6.Andersson G. Internet interventions: past, present and future. Internet Interv 2018; 12: 181–188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Andersson G, Carlbring P. Cognitive behavioral therapy delivered using the internet. In: Wenzel A. (ed) Handbook of cognitive behavioral therapy: applications, vol. 2 Washington, DC: American Psychological Association; 2021, pp. 607–631. [Google Scholar]
- 8.van der Vaart R, Worm-Smeitink M, Bos Y, et al. Implementing guided ICBT for chronic pain and fatigue: a qualitative evaluation among therapists and managers. Internet Interv 2019; 18: 100290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Andersson G, Titov N, Dear BF, et al. Internet-delivered psychological treatments: from innovation to implementation. World Psychiatry 2019; 18: 20–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Andersson G, Carlbring P, Titov Net al. et al. Internet interventions for adults with anxiety and mood disorders: a narrative umbrella review of recent meta-analyses. Can J Psych 2019; 64: 465–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Niles AN, Axelsson E, Andersson E, et al. Internet-based cognitive behavior therapy for depression, social anxiety disorder, and panic disorder: effectiveness and predictors of response in a teaching clinic. Behav Res Ther 2021; 136: 103767. [DOI] [PubMed] [Google Scholar]
- 12.Haller K, Becker P, Niemeyer Het al. et al. Who benefits from guided internet-based interventions? A systematic review of predictors and moderators of treatment outcome. Internet Interv 2023; 33: 100635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Koelen JA, Vonk A, Klein A, et al. Man vs. Machine: a meta-analysis on the added value of human support in text-based internet treatments (“e-therapy”) for mental disorders. Clin Psychol Rev 2022; 96: 102179. [DOI] [PubMed] [Google Scholar]
- 14.Zale A, Lasecke M, Baeza-Hernandez K, et al. Technology and psychotherapeutic interventions: bibliometric analysis of the past four decades. Internet Interv 2021; 25: 100425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kadakia K, Patel B, Shah A. Advancing digital health: FDA innovation during COVID-19. NPJ Digit Med 2020; 3: 161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Serafini G, Parmigiani B, Amerio A, et al. The psychological impact of COVID-19 on the mental health in the general population. Q. J. Med 2020; 113: 531–537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mahoney A, Li I, Grierson A, et al. Internet-based cognitive behaviour therapy for insomnia before and during the COVID-19 pandemic. Aust Psychol 2022; 57: 65–76. [Google Scholar]
- 18.Mahoney A, Li I, Haskelberg H, et al. The uptake and effectiveness of online cognitive behaviour therapy for symptoms of anxiety and depression during COVID-19. J Affect Disord 2021; 292: 197–203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bandelow B, Wedekind D. Internet psychotherapeutic interventions for anxiety disorders – a critical evaluation. BMC Psychiatry 2022; 22: 441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Shea BJ, Reeves BC, Wells G, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ 2017; 358: j4008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Chan M, Jiang Y, Lee CYC, et al. Effectiveness of eHealth-based cognitive behavioural therapy on depression: a systematic review and meta-analysis. J Clin Nurs 2022; 31: 3021–3031. [DOI] [PubMed] [Google Scholar]
- 22.Gandy M, Pang STY, Scott AJ, et al. Internet-delivered cognitive and behavioural based interventions for adults with chronic pain: a systematic review and meta-analysis of randomized controlled trials. Pain 2022; 163: E1041–E1E53. [DOI] [PubMed] [Google Scholar]
- 23.Han A, Kim TH. Effects of internet-delivered behavioral activation on individuals with depressive symptoms: a systematic review and meta-analysis. J Psychiatr Res 2022; 152: 104–118. [DOI] [PubMed] [Google Scholar]
- 24.Harrer M, Adam SH, Baumeister H, et al. Internet interventions for mental health in university students: a systematic review and meta-analysis. Int J Methods Psychiatr Res 2019; 28: e1759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Liu T, Xu J, Cheng H, et al. Effects of internet-based cognitive behavioral therapy on anxiety and depression symptoms in cancer patients: a meta-analysis. Gen Hosp Psychiatry 2022; 79: 135–145. [DOI] [PubMed] [Google Scholar]
- 26.Loughnan SA, Joubert AE, Grierson A, et al. Internet-delivered psychological interventions for clinical anxiety and depression in perinatal women: a systematic review and meta-analysis. Arch Womens Ment Health 2019; 22: 737–750. [DOI] [PubMed] [Google Scholar]
- 27.Ma L, Huang C, Tao R, et al. Meta-analytic review of online guided self-help interventions for depressive symptoms among college students. Internet Interv 2021; 25: 100427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Mancinelli E, Bassi G, Gabrielli Set al. et al. The efficacy of digital cognitive-behavioral interventions in supporting the psychological adjustment and sleep quality of pregnant women with sub-clinical symptoms: a systematic review and meta-analysis. Int J Environ Res Public Health 2022; 19: 9549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mehta S, Peynenburg VA, Hadjistavropoulos HD. Internet-delivered cognitive behaviour therapy for chronic health conditions: a systematic review and meta-analysis. J Behav Med 2019; 42: 169–187. [DOI] [PubMed] [Google Scholar]
- 30.Mu TY, Li YH, Xu RX, et al. Internet-based interventions for postpartum depression: a systematic review and meta-analysis. Nurs Open 2021; 8: 1125–1134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Reins Jo A, Buntrock C, Zimmermann J, et al. Efficacy and moderators of internet-based interventions in adults with subthreshold depression: an individual participant data meta-analysis of randomized controlled trials. Psychother Psychosom 2020; 90: 94–106. [DOI] [PubMed] [Google Scholar]
- 32.Roman M, Constantin T, Bostan CM. The efficiency of online cognitive-behavioral therapy for postpartum depressive symptomatology: a systematic review and meta-analysis. Women Health 2020; 60: 99–112. [DOI] [PubMed] [Google Scholar]
- 33.Stratton E, Lampit A, Choi I, et al. Trends in effectiveness of organizational eHealth interventions in addressing employee mental health: systematic review and meta-analysis. J Med Internet Res 2022; 24: e37776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Thompson EM, Destree L, Albertella Let al. et al. Internet-based acceptance and commitment therapy: a transdiagnostic systematic review and meta-analysis for mental health outcomes. Behav Ther 2021; 52: 492–507. [DOI] [PubMed] [Google Scholar]
- 35.de Oliveira PBF, Dornelles TM, Gosmann NPet al. et al. Efficacy of telemedicine interventions for depression and anxiety in older people: a systematic review and meta-analysis. Int J Geriatr Psychiatry 2023; 38: e5920. [DOI] [PubMed] [Google Scholar]
- 36.Klimczak KS, San Miguel GG, Mukasa MN, et al. A systematic review and meta-analysis of self-guided online acceptance and commitment therapy as a transdiagnostic self-help intervention. Cogn Behav Ther 2023; 52: 269–294. [DOI] [PubMed] [Google Scholar]
- 37.Lee S, Oh JW, Park KM, et al. Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis. npj Digital Medicine 2023; 6: 52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Noh D, Park H, Shim M-S. Website and mobile application-based interventions for adolescents and young adults with depression: a systematic review and meta-analysis. J Korean Acad Psychiatr Ment Health Nurs 2023; 32: 78–91. [Google Scholar]
- 39.Sander LB, Beisemann M, Doebler P, et al. The effects of internet-based cognitive behavioral therapy for suicidal ideation or behaviors on depression, anxiety, and hopelessness in individuals with suicidal ideation: systematic review and meta-analysis of individual participant data. J Med Internet Res 2023; 25: e46771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Schiller CE, Prim J, Bauer AE, et al. Efficacy of virtual care for depressive disorders: systematic review and meta-analysis. JMIR Ment Health 2023; 10: e38955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.White V, Linardon J, Stone JE, et al. Online psychological interventions to reduce symptoms of depression, anxiety, and general distress in those with chronic health conditions: a systematic review and meta-analysis of randomized controlled trials. Psychol Med 2022; 52: 548–573. [DOI] [PubMed] [Google Scholar]
- 42.Büscher R, Torok M, Terhorst Yet al. et al. Internet-based cognitive behavioral therapy to reduce suicidal ideation: a systematic review and meta-analysis. JAMA Network Open 2020; 3: e203933-e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Büscher R, Beisemann M, Doebler P, et al. Digital cognitive–behavioural therapy to reduce suicidal ideation and behaviours: a systematic review and meta-analysis of individual participant data. BMJ Mental Health 2022; 25: e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Torok M, Han J, Baker S, et al. Suicide prevention using self-guided digital interventions: a systematic review and meta-analysis of randomised controlled trials. The Lancet Digital Health 2020; 2: e25–e36. [DOI] [PubMed] [Google Scholar]
- 45.Wagner B, Rosenberg N, Hofmann Let al. et al. Web-based bereavement care: a systematic review and meta-analysis. Front Psych 2020; 11: 525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bayrampour H, Trieu J, Tharmaratnam T. Effectiveness of eHealth interventions to reduce perinatal anxiety: a systematic review and meta-analysis. J Clin Psychiatry 2019; 80: 6302. [DOI] [PubMed] [Google Scholar]
- 47.Cervin M, Lundgren T. Technology-delivered cognitive-behavioral therapy for pediatric anxiety disorders: a meta-analysis of remission, posttreatment anxiety, and functioning. J Child Psychol Psychiatry 2022; 63: 7–18. [DOI] [PubMed] [Google Scholar]
- 48.Domhardt M, Letsch J, Kybelka J, et al. Are internet- and mobile-based interventions effective in adults with diagnosed panic disorder and/or agoraphobia? A systematic review and meta-analysis. J Affect Disord 2020; 276: 169–182. [DOI] [PubMed] [Google Scholar]
- 49.Guo S, Deng W, Wang H, et al. The efficacy of internet-based cognitive behavioural therapy for social anxiety disorder: a systematic review and meta-analysis. Clin Psychol Psychother 2021; 28: 656–668. [DOI] [PubMed] [Google Scholar]
- 50.Lewis C, Roberts NP, Simon N, et al. Internet-delivered cognitive behavioural therapy for post-traumatic stress disorder: systematic review and meta-analysis. Acta Psychiatr Scand 2019; 140: 508–521. [DOI] [PubMed] [Google Scholar]
- 51.O'Kearney R, Kim S, Dawson RLet al. et al. Are claims of non-inferiority of internet and computer-based cognitive-behavioural therapy compared with in-person cognitive-behavioural therapy for adults with anxiety disorders supported by the evidence from head-to-head randomised controlled trials? A systematic review. Aust N Z J Psychiatry 2019; 53: 851–865. [DOI] [PubMed] [Google Scholar]
- 52.Simon N, Robertson L, Lewis C, et al. Internet-based cognitive and behavioural therapies for post-traumatic stress disorder (PTSD) in adults. Cochrane Database Syst Rev 2021; 5: Cd011710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Polak M, Tanzer NK, Bauernhofer Ket al. et al. Disorder-specific internet-based cognitive-behavioral therapy in treating panic disorder, comorbid symptoms and improving quality of life: a meta-analytic evaluation of randomized controlled trials. Internet Interv 2021; 24: 100364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Svärdman F, Sjöwall D, Lindsäter E. Internet-delivered cognitive behavioral interventions to reduce elevated stress: a systematic review and meta-analysis. Internet Interv 2022; 29: 100553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Moghimi E, Davis C, Rotondi M. The efficacy of eHealth interventions for the treatment of adults diagnosed with full or subthreshold binge eating disorder: systematic review and meta-analysis. J Med Internet Res 2021; 23: e17874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Beukes EW, Manchaiah V, Allen PM, et al. Internet-based interventions for adults with hearing loss, tinnitus, and vestibular disorders: a systematic review and meta-analysis. Trends Hear 2019; 23: 2331216519851749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Simon L, Steinmetz L, Feige B, et al. Comparative efficacy of onsite, digital, and other settings for cognitive behavioral therapy for insomnia: a systematic review and network meta-analysis. Sci Rep 2023; 13: 1929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Tsai H-J, Yang AC, Zhu J-D, et al. Effectiveness of digital cognitive behavioral therapy for insomnia in young people: preliminary findings from systematic review and meta-analysis. J Pers Med 2022; 12: 481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Oey LT, McDonald S, McGrath L, et al. Guided versus self-guided internet delivered cognitive behavioural therapy for diagnosed anxiety and related disorders: a preliminary meta-analysis. Cogn Behav Ther 2023; 52: 654–671. [DOI] [PubMed] [Google Scholar]
- 60.Hedman-Lagerlöf E, Carlbring P, Svärdman F, et al. Therapist-supported internet-based cognitive behaviour therapy yields similar effects as face-to-face therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis. World Psychiatry 2023; 22: 305–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Pozza A, Andersson G, Dèttore D. Therapist-guided internet-based cognitive-behavioural therapy for adult obsessive-compulsive disorder: a meta-analysis. Eur Psychiatry 2016; 33: s276–s2s7. [Google Scholar]
- 62.Westermann S, Rüegg N, Lüdtke T, et al. Internet-based self-help for psychosis: findings from a randomized controlled trial. J Consult Clin Psychol 2020; 88: 937–950. [DOI] [PubMed] [Google Scholar]
- 63.Păsărelu CR, Andersson G, Bergman Nordgren Let al. et al. Internet-delivered transdiagnostic and tailored cognitive behavioral therapy for anxiety and depression: a systematic review and meta-analysis of randomized controlled trials. Cogn Behav Ther 2017; 46: 1–28. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental material, sj-docx-1-dhj-10.1177_20552076241287643 for Internet-delivered cognitive behaviour therapy for affective disorders, anxiety disorders and somatic conditions: An updated systematic umbrella review by Anton Käll, Ieva Biliunaite and Gerhard Andersson in DIGITAL HEALTH

