REVIEW ARTICLE
Christian Rejbranda, Brynjar Furea,b and Karin Sonnbyb,c,*
aFaculty of Medicine and Health, School of Medical Sciences, Campus USÖ, Örebro, Sweden; bCentre for Clinical Research, Region Värmland, Karlstad, Sweden; cCentre for Clinical Research, Region Västmanland, Västerås, Sweden
Introduction: Social anxiety is common and can have far-reaching implications for affected individuals, both on social life and working performance. Usage of virtual reality exposure therapy (VRET) has gained traction. The aim of the present systematic review was to evaluate the effect of stand-alone VRET on social anxiety symptoms.
Method: We searched systematically in PubMed, Embase, PSYCinfo, and ERIC in May 2022 for studies with participants with social anxiety symptoms receiving stand-alone VRET. Two reviewers independently selected relevant studies in a two-step procedure, and the risk of bias was assessed.
Results: Of 158 hits, 7 studies were selected for full-text reading, 6 were chosen for evaluation, and 5 were included in meta-analyses. VRET resulted in a significantly lower anxiety score in treated individuals with a standard mean difference of −0.82, 95% confidence interval –1.52 to –0.13, compared to controls.
Conclusion: Stand-alone VRET may reduce social anxiety symptoms. However, despite promising results, there is still uncertainty as the effect estimate is based on few studies with few participants each and a high risk of bias.
KEYWORDS
Social fears; simulated reality; computer modelling; help
Citation: UPSALA JOURNAL OF MEDICAL SCIENCES 2023, 128, e9289
http://dx.doi.org/10.48101/ujms.v128.9289
Copyright: © 2023 The Author(s). Published by Upsala Medical Society.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received: 15 January 2023; Accepted: 9 August 2023; Published: 14 September 2023
Competing interests and funding: The authors report no conflict of interest.
Brynjar Fure was supported by Örebro University and Region Värmland, Sweden, and Karin Sonnby was supported by Region Värmland and Region Västmanland, Sweden.
CONTACT Karin Sonnby karin.sonnby@regionvastmanland.se
Symptoms of social anxiety are common, and the lifetime prevalence of social anxiety disorder (SAD) has been reported at 4% (1). The prevalence is particularly high in young women with low education and socioeconomic status in middle- and high-income countries (1–3).
Social anxiety disorder is categorised into SAD and SAD, performance only (DSM-5) (4). Individuals with the performance only subtype experience performance anxiety only when giving a public speech, taking a test, or attending a job interview (4).
Implications of SAD can be far-reaching, with affected individuals reporting higher rates of mood disorders, drug and alcohol abuse, and even suicide (4). Impairment in working life performance is also reported, leading to substantial societal costs as many refrain from seeking healthcare (5).
Treatment includes cognitive-behavioural therapy (CBT) and medication, with selective serotonin reuptake inhibitors (SSRIs) being first line (6). However, side effects such as impotence, nausea, and dry mouth limit their use (6). One limitation of CBT is poor compliance as much effort is required by the patient (6). To be physically exposed in environments with other people can be very stressful, even if it is done gradually. In such situations, it could feel reassuring to be able to abort with a push of a button. This is where virtual reality (VR) comes into the picture.
Virtual reality is a technology in which an environment is simulated, either using computer-generated imagery or real-life footage, such that the user experiences being in that environment visually and audially (7). This is done with the help of VR goggles and headphones (7). Having mainly been used in the gaming industry, technological advances have increased the fidelity of simulations, and its usage in exposure therapy (VRET) has been increasingly explored as an alternative to real-world exposure therapy (8–10). Several systematic reviews have been conducted; however, few have focused on SAD, and VRET has been administered as a component of CBT rather than stand-alone therapy, hence making it difficult to evaluate its effect (11).
The aim of the present systematic review and meta-analysis is therefore to evaluate stand-alone VRET as treatment for social anxiety symptoms. We hypothesised that stand-alone VRET will significantly reduce participants’ symptoms of social anxiety.
This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The study was registered in PROSPERO, ID: CRD42022361900.
Only randomised controlled trials were eligible for inclusion due to their relatively high level of evidence. Studies had to be reported in either English or Swedish, with a study sample of more than 10 subjects. Two interventions were allowed: VRET and augmented reality exposure therapy (ARET). Augmented reality is a technology in which the user is in a real environment with computer-generated elements such as virtual avatars that are seen through goggles or a screen. It can be seen as a light version of VR and was therefore considered relevant to be included. Both VRET and ARET had to be stand-alone therapy for inclusion.
Participants had to meet the criteria for social phobia (DSM-IV) or social anxiety disorder (DSM-5) or score high on validated self-reports of either symptoms of social anxiety or public speaking anxiety, for example, the Brief Fear of Negative Evaluation Scale (FNE) (12) and Social Interaction Anxiety Scale (SIAS) (13). These instruments have high internal consistency and test-retest reliability (13, 14).
Outcomes were measured as changes between pre- and post-assessment of symptom levels in the intervention group compared to the comparison group. Eligible comparisons were waiting list, control, or CBT. This would enhance any potential effects of VRET and ARET, both in relation to no treatment and to CBT and hence in vivo exposure therapy.
Data sources used in the search included PubMed, PSYCinfo, Embase, and ERIC. An information specialist M.M. was consulted in constructing appropriate search terms and conducting the search. The data sources were chosen because PubMed is the largest database for medical studies and PSYCinfo is the largest regarding psychiatric diagnoses and mental health. Embase is also one of the major databases for medical studies. To supplement these sources, a final search was made in ERIC, which is a smaller database that contains many psychological studies.
All records from the searches were organised in Endnote and duplicates removed. The first author (C.R.) and the supervisor of this project (K.S.) then independently reviewed abstracts of all studies for relevance and read the relevant studies in full text to deem if they fulfilled the inclusion criteria. Disagreements on inclusion eligibility were resolved through discussion. See Appendix A for complete search strategy. No constraint on publication date was set for inclusion.
Extraction of study characteristics was made by authors C.R. and K.S. (see Table 1). Selection of studies and appropriate outcome measures for inclusion in meta-analysis were done by all three authors.
Study | Intervention | Control | VR technology | Population size | Sex (% female) | Age interval | Outcome measures | Result post-treatment | Result follow-up |
Anderson et al. 2013 (15) | VRET or EGT | WL | Not stated. Computer-generated footage. | 97 | 62% | 19–69 (M=39) | PRCSa FNE-Bb BATi CGI-Ij Expectancy for treatment outcome scale WAI-SFk Homework compliance CSQ-8l |
FNE-B: I: 39.47 (10.70) C: 42.45 (10.07) |
- |
Cohen’s d: FNE-B: 0.29 |
|||||||||
Anderson et al. 2017 (16) | VRET | EGT | - | 28 | 71% | 19–69 (M=42) | PRCSa FNE-Bb PGIm BATi |
6-year: FNE-B: I: 35.77 (5.99) C: 34.36 (10.93) |
|
Kampmann et al. 2016 (17) | VRET or in vivo exposure therapy | WL | Delft Remote Virtual Reality Exposure Therapy with Vizard v3.0 software package | 60 | 63% | 18–65 (M=37) | LSAS-SRd FNE-Bb BATi DASS-21n PDBQo EUROHIS-QOL 8-item indexp |
FNE-B: I: 36.05 (8.37) C: 36.44 (8.77) |
3-month: FNE-B: 0.47 |
Zainal et al. 2021 (18) | VRET | WL | BehaVR with Pico Goblin headset. Real-life footage | 44 | 77% | 18–53 (M=23) | SPDQe SIASf MASIg PSWQq PHQ-9r Qualitative feedback |
SIAS: I: 25.29 (9.50) ITT C: 29.80 (13.28) ITT |
Hedge’s g: SIAS: 3-month: -4.6 (p<.001) 6-month: -4.04 (p<.001) Post-3-month: -0.38 Post-6-month: -0.34 |
Hedge’s g: SIAS: -4.58 (p<.001) |
|||||||||
Lindner et al. 2019 (19) | Therapist or self-guided VR | WL | Samsung gear VR headset on Galaxy Note 4/Google Cardboard with personal phone. Virtual speech app. Real-life footage. | 50 | 72% | 18+ (M=31) | PSASh LSAS-SRd FNE-Bb PHQ-9r GAD-7s BBQt |
PSAS: I: 56.29 (10.49) C: 69.28 (5.80) |
- |
PSAS: Cohen’s d: 0.83 |
|||||||||
Reeves et al. 2021 (20) | VRET with virtual audience or VRET without virtual audience | No treatment | Samsung Gear VR powered by Oculus with Samsung Galaxy S7. Real-life footage. | 51 | 94% | 18–45 (M=26) | PSASh LSAS-SRd FNE-Bb IPQc |
- | 10-week: I: 32.23 (6.73) audience C: 49.46 (9.34) audience |
aPersonal Report of Confidence as Speaker. bFear of Negative Evaluation – Brief Form. cIgroup Presence Questionnaire. dLiebowitz social anxiety scale – self-report. eSocial Phobia Diagnostic Questionnaire. fSocial Interaction Anxiety Scale. gMeasure of Anxiety in Selection Interviews. hPublic Speaking Anxiety Scale. iBehavioral Avoidance Test. jClinicial Global Impressions of Improvement. kWorking Alliance Inventory – Short Form. lClient Satisfaction Questionnaire. mPatient Global Improvement. nDepression Anxiety Stress Scale. oPersonality Disorder Belief Questionnaire. pEurohis Quality of Life Scale. qPenn State Worry Questionnaire. rPatient Health Questionnaire. sGeneralized Anxiety Disorder 7-item. tBrunnsviken Brief Quality of Life Scale. |
C.R. and K.S. independently assessed bias for each included article using the Critical Appraisal Skills Programme (CASP) (see Appendix B) (21). In case of disagreement, consensus was reached after discussion. In addition, the GRADE instrument was used to assess overall confidence in the pooled effect estimates across studies (22).
The present systematic review aimed at evaluating included studies by narrative reporting of results and, when possible, meta-analyses. If three or more studies used a common outcome measure, these were pooled in a meta-analysis. Outcome measures were reported as mean difference (MD) with confidence intervals (CI) when studies used the same outcome measure and as standardised mean difference (SMD) with CI when different outcome measures were used across studies. Heterogeneity was calculated using I2. Due to high levels of heterogeneity of the included studies, the meta-analyses were performed with a random effects model. Meta-analyses were conducted using ReviewManager 5.4.
As the study design was that of a systematic review and meta-analysis, no ethical approval was required. The present systematic review and meta-analysis was performed according to Swedish law and guidelines published by the Ethical Committee of Uppsala University, Sweden. We used only data from published studies available on the internet.
The search in PubMed was conducted on June 15, 2022, and in PSYCinfo, Embase, and ERIC on June 16, 2022. In total, 158 records were identified, with 114 remaining after removing duplicates. After reviewing title and abstract, seven were included for full-text assessment. One study, Benbow (23) was excluded due to presumed double reporting of the sample included in the study by Anderson et al. (16), which was favoured for inclusion due to more participants. Of these six articles, five were selected for meta-analysis. The long-term follow-up study by Anderson et al. (16) used comparison with exposure group therapy (EGT) rather than no treatment, so results from this study were included only for narrative reporting. See Figure 1 for a flowchart of the selection process.
Figure 1. PRISMA flowchart of the search and review process.
Participants in the studies were recruited through several digital and analogue means using newspaper and internet ads, flyers, referrals from professionals, and more. Common criteria for exclusion were concomitant medication with tranquillisers, non-stable antidepressant treatment, current alcohol or drug abuse, as well as a history of mania, psychosis, or schizophrenia.
There was a majority of female participants in all studies with a median age spanning from 23 to 42 years. Population size varied between 28 and 97. All studies were conducted in Western countries (the United States, the Netherlands, the United Kingdom, and Sweden). Study length ranged from 4 to 8 weeks, with eventual follow-up spanning from 10 weeks to 6 years. Study characteristics of included studies are presented in Table 1.
Critical appraisal including risk of bias was assessed using a checklist for randomised controlled studies from the CASP (see Appendix B) (21). The checklist has four appraisal sections (A–D) and an appraisal summary. The assessment of each section is illustrated as a traffic light diagram, where green means low risk of bias, yellow medium risk of bias, and red high risk of bias (Table 2). All studies were deemed to have low risk of bias under section A due to randomisation and selection. The Anderson et al. (16) study could not be assessed as it was a follow-up to the study by Anderson et al. (15) parent study. All but one study (19) were considered to have high risk of bias in section B due to lack of pre-published study protocols. In section C, all studies were deemed to have medium risk of bias as most neither reported CI nor conducted cost-effectiveness analyses. Under section D, the generalizability of the results of all studies was judged to be comparable with other symptomatic mainly non-clinical populations. Overall, the appraisal summary for the applicability of the results in non-clinical populations with symptoms of social anxiety was considered uncertain if applicable, due to the total risk of bias in each study.
The studies by Anderson et al. (15), Kampmann et al. (17), and Reeves et al. (20) all used FNE-B mean scores as outcome measure and were analysed together in a first meta-analysis. The results indicated a reduction of symptom severity (lower mean scores) for stand-alone VRET with MD –6.88 points (CI –17.31 to 3.55) compared to the control group; however, the result did not reach statistical significance and the heterogeneity was high (see Figure 2).
Figure 2. Forest plot showing mean difference of FNE-B points in individuals treated with VRET compared to controls.
FNE-B: Fear of Negative Evaluation Scale brief version; SD: standard deviation; VRET: virtual reality exposure therapy.
The second meta-analysis included five studies (15, 17–20) and three different outcome measures (FNE-B, PSAS, and SIAS) and yielded a significant reduction of symptoms of anxiety with SMD –0.82 (CI –1.52 to –0.13) in treated individuals compared to the control group, indicating a statistically significant reduction in symptom severity. Heterogeneity was somewhat lower than in the first analysis (see Figure 3).
Figure 3. Forest plot showing standardised mean difference of social anxiety in individuals treated with VRET compared to controls.
SD: standard deviation; VRET: virtual reality exposure therapy.
After conducting the meta-analyses, it was noted in a corrigendum to the Lindner et al. (19) study that some of the scores reported were not correct due to a phrasing error and the author was contacted for a revised version (19). However, the updated numbers differed less than 1.1 points from the numbers used in the second meta-analysis, with the VRET group scoring lower at post-treatment as opposed to the control. This would only further enhance the already significant result of the study by Lindner et al. (19) in the second meta-analysis and not alter our conclusion. As such, no meta-analysis with the revised version was conducted.
The study by Anderson et al. (16) compared long-term effects of VRET and EGT. The results showed a lasting reduction of symptoms of anxiety measured with FNE-B at follow-up in both groups, without significant difference between the two treatments.
The GRADE instrument (22) was used to assess our confidence in the pooled effect estimates across included studies (see Table 3). The three-study meta-analysis showed a low certainty of evidence meaning that further research is ‘very likely to have an important impact on the confidence in the estimate of effect and is likely to change the estimate’. The five-study meta-analysis showed a moderate certainty of evidence meaning that further research is ‘likely to have an important impact on the confidence of the estimate of effect and may change the estimate’.
Certainty assessment | № of patients | Effect | Certainty | Importance | |||||||||
Meta-analysis | No. of studies | Study design | Risk of bias | Inconsistency | Indirectness | Imprecision | Other considerations | VRET or ARET | No treatment or other treatment than VRET/ARET | Relative (95% CI) | Absolute (95% CI) | ||
I* | 3 | Randomised trials | Seriousa | Not serious | Not serious | Seriousb | None | 62 | 63 | - | MD 6.88 points lower (17.31 lower to 3.55 higher) | ⊕⊕◯◯ Low |
IMPORTANT |
II* | 5 | Randomised trials | Seriousa | Not serious | Not serious | Seriousb | Strong association | 113 | 106 | - | SMD 0.82 SD lower (1.52 lower to 0.13 lower) | ⊕⊕⊕◯ Moderate |
IMPORTANT |
Note. Question: VRET compared to no treatment or other treatment than VRET for symptoms of social anxiety. a. Risk of attrition bias. Protocol not pre-registered. Declaration of interests not reported. b. Few studies with few participants. I* = Three-study meta-analysis on FNE-B. II* = Five-study meta-analysis on FNE-B, PSAS, and SIAS. |
Altogether, the findings of this systematic review and meta-analysis of randomised controlled studies support the short- and long-term effectiveness of stand-alone VRET as treatment for symptoms of social anxiety. The literature on the area was sparse; however, all findings point in the same direction. The meta-analysis with the largest possible number of studies showed significant results, yet the one with only three studies included did not reach significance. Only one study evaluated and could show long-term effectiveness 4–6 years after treatment.
Several earlier meta-analyses have shown VRET to be effective when combined with CBT (24–26). Considering the results of the current meta-analysis, it is possible that stand-alone VRET is less effective than when combined with CBT. It is also possible that differences in study sample sizes are the reason for this discrepancy as earlier meta-analyses have included more studies and participants. Nevertheless, according to the Cochrane Handbook for Systematic Reviews, an SMD of 0.2 usually corresponds to a small effect, 0.5 to a moderate effect, and 0.8 to a large effect (27). The result of the present meta-analysis based on five studies, with an SMD of –0.82 in favour of the intervention group, should be considered a large effect. Although SMD cannot be directly translated into a clinically relevant effect, a large SMD corresponds to a low number needed to treat and a high probability of benefit, and thus, it is likely to be associated with a clinical effect (28). Finally, the narrative analysis of Anderson et al. (16) showed similar ability of VRET and EGT in reducing social anxiety symptoms at long-term follow-up 4–6 years after initial treatment.
The results of the present systematic review must be interpreted in the light of several limitations. Firstly, the number of studies and participants included was low, making the result of the meta-analyses less certain and increases influence of random findings. Secondly, risk of bias of attrition and reporting was high in most of the included studies due to high dropout rates and a lack of pre-publicised study protocols. According to GRADE, our confidence in the effect estimates is low and moderate indicating that further research is likely to alter the results.
A strength of the present systematic review was the methodology following the PRISMA statement, which enhances comparison with former and future similar studies. One further strength was the enrollment of only randomised controlled studies, which decreases some risks of bias, e.g. due to selection of participants. Moreover, the participants were mainly young females from Europe and North America, which are populations with high prevalence of symptoms of social anxiety. This may enhance generalizability of the results to these symptomatic, mainly non-clinical populations.
Stand-alone VRET showed ability to significantly reduce symptoms of social anxiety both on short and long terms. Based on the present systematic review with a sparse number of studies, the results are uncertain, however, still not advising against further research. Yet, much is unknown as for example the influence of different types of VR technology, type of treatment programmes, and if other populations, e.g. patients from primary care or psychiatric settings, would benefit from treatment with VRET.
The authors would like to thank Maj Millom, a librarian at Karlstad hospital library, Region Värmland, Sweden, for excellent help with the literature search of the present systematic review.
Christian Rejbrand, is a medical student at Örebro University.
Brynjar Fure, is a medical doctor specialised in geriatric medicine, neurology, and internal medicine and works as a consultant geriatrician in the Central Hospital Karlstad, Region Värmland, Sweden. He is also a senior lecturer and an associate professor at Örebro University, Sweden.
Karin Sonnby, is a medical doctor specialised in child and adolescent psychiatry. She works with Health Technology Assessment at Centre for Clinical Research, Region Värmland, Sweden, as well as with research at the Centre for Clinical Research, Region Västmanland, Sweden.
Christian Rejbrand https://orcid.org/0000-0002-4648-6099
Brynjar Fure https://orcid.org/0000-0001-6888-7101
Karin Sonnby https://orcid.org/0000-0001-7913-0999
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CASP Randomised Controlled Trial Standard Checklist:
11 questions to help you make sense of a randomised controlled trial (RCT)
Main issues for consideration: Several aspects need to be considered when appraising a randomised controlled trial:
Is the basic study design valid for a randomised controlled trial? (Section A)
Was the study methodologically sound? (Section B)
What are the results? (Section C)
Will the results help locally? (Section D)
The 11 questions in the checklist are designed to help you think about these aspects systematically.
How to use this appraisal tool: The first three questions (Section A) are screening questions about the validity of the basic study design and can be answered quickly. If, in light of your responses to Section A, you think the study design is valid, continue to Section B to assess whether the study was methodologically sound and if it is worth continuing with the appraisal by answering the remaining questions in Sections C and D.
Record ‘Yes’, ‘No’ or ‘Can’t tell’ in response to the questions. Prompts below all but one of the questions highlight the issues it is important to consider. Record the reasons for your answers in the space provided. As CASP checklists were designed to be used as educational/teaching tools in a workshop setting, we do not recommend using a scoring system.
About CASP Checklists: The CASP RCT checklist was originally based on JAMA Users’ guides to the medical literature of 1994 (adapted from Guyatt GH, Sackett DL and Cook DJ) and piloted with healthcare practitioners. This version has been updated taking into account the CONSORT 2010 guideline (http://www.consort-statement.org/consort-2010, accessed 16 September 2020).
Citation: CASP recommends using the Harvard style, i.e. Critical Appraisal Skills Programme (2021). CASP (insert name of checklist, i.e. Randomised Controlled Trial) Checklist. [online] Available at: insert URL. Accessed: insert date accessed.
©CASP this work is licensed under the Creative Commons Attribution – Non-Commercial- Share A like. To view a copy of this licence, visit https://creativecommons.org/licenses/by-sa/4.0/
Critical Appraisal Skills Programme (CASP) www.casp-uk.net Part of OAP Ltd
Study and citation: ………………………………………………………………………………………………………………………………
Section A: Is the basic study design valid for a randomised controlled trial? | ||||
1. | Did the study address a clearly focused research question? CONSIDER:
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Can’t tell □ |
2. | Was the assignment of participants to interventions randomised? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
3. | Were all participants who entered the study accounted for at its conclusion? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
Section B: Was the study methodologically sound? | ||||
4. |
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Yes □ □ □ |
No □ □ □ |
Can’t tell □ □ □ |
5. | Were the study groups similar at the start of the randomised controlled trial? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
6. | Apart from the experimental intervention, did each study group receive the same level of care (that is, were they treated equally)? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
Section C: What are the results? | ||||
7. | Were the effects of intervention reported comprehensively? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
8. | Was the precision of the estimate of the intervention or treatment effect reported? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
9. | Do the benefits of the experimental intervention outweigh the harms and costs? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
Section D: Will the results help locally? | ||||
10. | Can the results be applied to your local population/in your context? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
11. | Would the experimental intervention provide greater value to the people in your care than any of the existing interventions? CONSIDER:
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Yes □ |
No □ |
Can’t tell □ |
APPRAISAL SUMMARY: Record key points from your critical appraisal in this box. What is your conclusion about the paper? Would you use it to change your practice or to recommend changes to care/interventions used by your organisation? Could you judiciously implement this intervention without delay? |