This article was written in accordance with the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 explanation and elaboration: guidance for protocols of clinical trials [17]. As such, the SPIRIT Checklist and flowchart were used [see Additional file 1 and Fig. 1].
Recruitment
The SO REAL trial is a randomised, assessor-blinded, parallel-group superiority clinical trial, enrolling a total of 302 participants from outpatient facilities in the catchment area of Copenhagen. Patients are referred to treatment of social anxiety by their primary care physicians, psychiatrist or psychologist to Mental Health Centre Copenhagen. During intake all patients will be evaluated by experienced clinicians to be eligible for psychotherapeutic treatment as part of standard procedure in the psychotherapeutic clinic. After this clinical screening patients eligible for treatment will be approached and asked if they are interested in getting more information about the trial. If they accept, their contact details will be given to a research assistant, who will call and invite them for further assessment using Mini International Neuropsychiatric Interview. If eligibility is further confirmed, informed consent is collected. Patients are then randomised (1:1) to either CBT-In Virtuo or CBT-In Vivo, as described in further detail in the section Interventions. Patients, that cannot or will not participate in the study, will be offered treatment as usual. The recruitment and data collection process is outlined in Figure 2.
Inclusion criteria
Patients aged 18-75 years who provide written informed consent and fulfil diagnostic criteria for social anxiety disorder (ICD-code: F40.1) as well as the following:
1) Severity of social anxiety from moderate to severe degree (from cut-off 65 and up on the Liebowitz social anxiety scale).
2) Either not treated with antidepressants or unchanged doses of antidepressants for at least 4 weeks before inclusion and no change in antidepressants is anticipated.
3) Sufficient knowledge of the Danish language.
Exclusion criteria:
1) Alcohol or drug dependence.
Figure 1. Schedule of enrolment, interventions, and assessments.

Figure 2. Flowchart for inclusion, assessments, interventions and follow-up. All 302 patients will be included in the analyses.
Feasibility
The two psychotherapeutic clinics at mental Health Centre Copenhagen are responsible for treatment of all patients referred with social anxiety disorder in the catchment area of Mental Health Centre Copenhagen. Usually each of the clinics provide treatment for 75 patients every year. Thus, we anticipate that during a three-year recruitment period, 450 patients will be eligible for the trial, and we expect a high acceptance rate and a high follow-up rate, as the patients has already gone through a selection procedure in the central visitation unit at Mental Health Services in the Capital Region of Denmark.
Interventions
Therapeutic Intervention
The therapeutic intervention is manual-based cognitive behavioural CBT group therapy (CBT-group) adapted from the approach of Turk, C., L., Heimberg, R.G. & Magee, L. (2008)[18]. The treatment will consist of a total of 14 weekly two-hour group sessions performed in accordance with the manual to ensure a uniform and equal treatment for every patient throughout the study. Groups will consist of 8-9 patients, and every session will be led by two trained clinicians (e.g. psychologists or psychotherapists) with practical experience in CBT and in vivo exposure. In both conditions, the sessions dedicated to exposure is scheduled from the fifth to the twelfth sessions with approximately 30-90 min of exposure in each session. The cognitive therapy strategies used in the non-exposure sessions (first four and last two therapy sessions) are as follows; (a) introduction to CBT; (b) psychoeducation about anxiety and cognitive restructuring of dysfunctional assumptions and beliefs; (c) shifting self-focused attention and modifying cognitive distortions; (d) developing an understanding of safety behaviour and the rationale of exposure; (f) evaluation, discussion and feedback on the use of patient-acquired techniques; and (d) relapse prevention. In both conditions, the aim of the exposure is to develop new, non-threatening and adaptive responses to social situations by maximizing violations of expectancies of aversive events as well as minimizing safety behaviours.
In vivo exposure
The in vivo exposure will consist of guided within-group exposure (e.g. presentations) as well as exposure either inside or outside the clinic (e.g. asking for the time at the secretary’s desk, spilling a beverage in the lunch room, being video recorded, dropping keys in public, yelling, dressing up or making improper requests in stores) with a focus on adjusting exposures to the needs of the group within the standardized treatment manual. For this reason, the in vivo exposure will not strictly match the in virtuo exposure.
In virtuo exposure
The patients receiving the in virtuo exposure will be immersed using an Oculus Go head-mounted display enabling viewing of 360° live recorded VR environments. Five exposure scenarios have been developed based on general themes of the LSAS, patient feedback and clinical experience from a panel of clinicians. The five scenarios are as follows: 1) standing in line in a supermarket; 2) attending a party; 3) attending a formal meeting and giving a presentation; 4) small talking/debating in a canteen; and 5) entering an auditorium. Each scenario has four to six scenes of increasing difficulty as well as a neutral scene to familiarize patients with the VR setting. The neutral scene will also be used to reach within-session habituation for certain shorter scenes, where it would not otherwise be plausible. The aim is that all patients will work through all five scenarios during therapy, however, the order of the scenarios viewed will be chosen by the clinicians in order to accommodate the needs of the group. The last two in virtuo exposure sessions are devoted to individual work with one or two previously explored virtual environments closest to the patient’s difficulties. Additionally, in the last two exposure sessions, the clinicians have the option of combining the in virtuo exposure with in vivo exposure (E.g. First going to the supermarket in virtuo and then to the actual supermarket).
Fidelity to treatment manual
The intervention is manual-based, which improves standardization of the treatment. Fidelity to the treatment manual will be assessed through a self-report questionnaire answered by the clinicians at three different timepoints throughout each group treatment. The questionnaire (and the timepoints whence it is delivered) is specifically designed to correspond to the treatment manual. This type of fidelity measurement, has been shown to be adequate for trials in which the effect of an addon to treatment is tested [19].
The VR headsets will also record statistics regarding the use of the 360o films. This data illuminates the amount and type of use of the VR headsets and will also be matched to the individual patient. Throughout the study, this data will be used to measure the use of the VR films and how well it matches the guidelines proposed in the treatment manual.
Assessment
Diagnosis
Mini International Neuropsychiatric Interview (MINI), v. 7.0 for DSM-5 will be used to screen for diagnosis. Version 7.0 contains 17 modules for the major axis I psychiatric disorders in ICD-10 and DSM-IV-TR. Psychometric analyses of the MINI have demonstrated acceptable test-retest and inter-rater reliability. MINI is validated against CIDI for ICD-10 and SCID-P for DSM-IV. At the inclusion interview, all modules but P will be used to assess diagnostic eligibility (e.g. must have social anxiety disorder, may not have a psychotic disorder) and to detect comorbidity.
Adverse events
Unwanted negative side-effects induced by immersions in virtual reality (commonly referred to as cyber sickness) will be measured with the Simulator Sickness Questionnaire (SSQ) [20] administrated after each VR exposure session.
The clinicians in charge of the treatment will register and deal with any adverse events, adverse reactions and report all serious adverse events and serious adverse reactions to the sponsor. Additional side effects or events will also be gathered from registers and patient files.
Data collection and management
See Figure 1 for an overview of data collection at baseline and follow-up. Self-reported data will be collected through surveys send via REDCap (Research Electronic Data Capture). Assessors are trained in the interview instruments and will do regular co-ratings of live interviews. Interrater reliability of LSAS and secondary outcome measures will be calculated before the beginning of the trial. The interviewers will input data from the assessments directly into the electronical CRF (Case Report Form) using the data entry system REDCap [21]. REDCap is an electronic data capture tool hosted at CIMT (Center for IT, Medico and Telephony) in the Capital Region of Denmark. For non-self-report measures, data will first be captured on paper and then entered electronically. REDCap complies with Danish legislation (the Act on Processing Personal Data) due to it having both comprehensive user rights and access control management and a complete audit trail on all data transactions. The data from individual patients is tied to a unique serial-number. Assigned researchers and GCP (Good Clinical Practice) monitors will be the only people who can access the database. Non-electronic data will be stored secured and locally. Data will be exported from REDCap without personal identifiers. Data will be exported to all well-known software packages: (SPSS, SAS, Stata, R.) and stored on a secure network drive under the control of CIMT. A data manager will ensure that all variables are correctly defined with variable and value labels. All derived variables will be correctly defined, and algorithms will be kept in special files. All data will be scrutinized in order to identify errors in data entry. Sponsor and the principal investigators ensure that data is stored at least 10 years after end of trial.
Outcomes and sample size calculation
Sample size calculations were performed on the primary outcome measure and a number of secondary outcome measures. Based on other studies using LSAS, we estimate SD to be 21. With alpha=0.05, 80% power, and an expected standard deviation of 21, we will require 302 patients to detect the minimal relevant difference of 6.8 on the LSAS total score between the groups
Primary outcome:
The total score on the Liebowitz Social Anxiety Scale (LSAS) measured pre and post treatment. LSAS assesses anxiety level and avoidance of a range of situations typically feared by individuals with social anxiety. It has acceptable psychometric properties [16].
Secondary outcomes:
· Depressive symptoms measured pre treatment, post treatment and at follow-up as total scores on Hamilton Depression Rating Scale, 6 item version (HAM-D6) [22].
· Fear of negative evaluation measured pre treatment, post treatment and at follow-up with the Brief Version of the Fear of Negative Evaluation Scale [23].
· Work and Social Adjustment measured pre treatment, post treatment and at follow-up with the Work and Social Adjustment Scale (WSAS) [24].
· User acceptability and satisfaction of treatment measured post treatment with the Client Satisfaction Questionnaire (CSQ). The CSQ is an 8-item scale loading to one factor of satisfaction with mental health care service [25].
· Quality of Life measured pre treatment, post treatment and at follow-up with the WHO Well-Being Index, 5 items (WHO-5). It is considered a very sensitive outcome measure as it does not incorporate negative quality of life, i.e. distress, and has no ceiling effect [26].
· Response (LSAS below 50 or a 15 points drop) and remission (LSAS below 25) of social anxiety symptoms measured post treatment and at follow-up.
Exploratory outcomes:
· Social functioning measured with Personal and Social Performance Scale (PSP) [27] pre treatment, post treatment and at one-year follow-up.
· Alcohol and substance use measured with Time Line Follow Back (TLFB) pre treatment, post treatment and at one-year follow-up.
· Self-belief of coping measured with General Self Efficacy (GSE) [28] pre treatment, post treatment and at one-year follow-up.
· Working alliance measured with Working Alliance Inventory post treatment [29].
Other measures:
· Unwanted negative side-effects induced by immersions in virtual reality (commonly referred to as cyber sickness) will be measured with the Simulator Sickness Questionnaire (SSQ) measured after the immersions.
· The experience of Social Presence as described by Lee (2004) [30] will be measured after each VR exposure session with a scale consisting of 9 questions rated on a 1-7 likert scale. This scale was developed specifically for this trial because existing scales are too specific for the VR equipment and content they were developed for. Social Presence is measured instead of the more general concept of Presence because it has been theorized to be a critical element in the effective use of VRE for SAD [31].
Setting of assessment
Assessment will take place at the outpatient clinics where the patients also receive treatment. Self-report questionnaires (FNE, CSQ, WAI, WSAS, WHO-5) will be answered by following a link send to the patients email address, which the patients can access either on a personal device or on one of the clinics computers. MINI, LSAS, PSP, HAM-D6 and TLFB will be administered by trained researchers. After each session with VRE, in-virtuo specific questionnaires (Social Presence & Simulator Sickness Questionnaire) will be administered by the clinicians delivering the intervention.
Randomisation
Patients will be recruited from Mental Health Centre Copenhagen. Randomization ensues shortly after the inclusion and pre treatment interview. Randomization is done with a hidden allocation sequence and is centralized and handled with the randomization module in REDCap by a datamanager independent of the trial. Block sizes will be uknown to the researchers and clinicans. Factors for stratification are treatment site and severity of LSAS-SR with a cutoff score of 95. Individual randomization of the patients and allocation tables will be handled by external researchers with no affiliation with the project. An email of the assigned randomization of each patient will be sent to the team leaders organizing the logistics of the interventions in the Psychotherapeutic clinics. Assigned randomization of the patients will be stored by the research team datamanager. The randomization code will be stored at redcap.
Blinding
The assessors are blinded when interviewing at pre treatment, post treatment and at follow up. Should unblinding occur, the assessment will be performed by another researcher. Analysis and draft of conclusions will be performed by blinded researchers.
Statistical analyses
Analysis will all be from intention-to-treat. All included patients will also be included in the analyses. All tests will be two-tailed. The primary outcome analysis will be an intention-to-treat analysis. Missing data will be handled by multiple imputations (m=100). As predictors in the imputation model, we will select variables if they are independent predictors of the outcome or predictors of missing data (P<0.05 in a univariate model). Each group will have imputations done separately. Analysis of covariance will be used to calculate any significant results between the two groups, using the baseline value and the stratification variables.
The continuous variables will be imputed with linear regression. Binary variables will be imputed with binary logistic regression. Multinomial variables will be imputed with multinomial logistic regression. Ordinal variables will be imputed with ordinal logistic regression. For every type of variable, we will perform 100 imputations.
All distributions will be assessed for normality using visual inspection of histograms and Q-Q plots. If not normally distributed, variables will be log transformed, and if unsuccessful, a non-parametric test will be used.
For dichotomous outcomes, we will perform multiple logistic regressions with treatment as usual as reference and stratification variables as covariates after having imputed missing values using a logistic regression model. If the experimental groups are not significantly correlated to the outcome (P>0.05), no further analyses will be performed. If we find a significant correlation, a model adjusted for important prognostic covariates equal to the approach for continuous variables will be carried out.
Sensitivity analyses include an analysis of complete cases, removal of outliers (defined as standardized residuals greater than 3 standard deviations), a per protocol analysis defining patients not having a single contact as violating the protocol, and a second per protocol analysis including patients with at least 50% of intended out-patient contacts. The second per protocol analysis is likely to cause severe selection bias, as the outpatient treatment will include the patients with the highest level of motivation. Therefore, it is only considered meaningful to report negative results from this analysis. Positive, negative and inconclusive results, will all be published as soon as possible. All results will aditionally be presented at international and national scientific and other relevant conferences.