Skip to main content

A cultural experience to support mental health in people aged 16–24 during the COVID-19 pandemic compared to a typical museum website: study protocol of an online randomised controlled trial



Despite the high prevalence of common mental disorders in adolescents and young adults, and their association with poor health and socio-economic outcomes throughout the lifespan, many young people do not seek or receive help for such disorders. There is growing interest in the community sector in supporting mental health in young people; however, there is little by way of experimental research in this area. During the COVID-19 pandemic and lockdown, we designed an online cultural experience to reduce anxiety and depression and support mental health in people aged 16–24.


The O-ACE POP (Online Active Community Engagement Proof of Principle) study is a UK-based online randomised controlled trial of an online cultural experience named Ways of Being, involving human centred narratives and viewpoints, compared with a typical museum website (the Ashmolean Museum). We aim to compare efficacy on  affect,  symptoms of epression and anxiety, flourishing and loneliness as well as investigating potential mechanisms of action.


The COVID-19 pandemic has provided a unique opportunity to design an innovative approach to supporting mental health in young adults. Findings derived from this study will allow us to evaluate the efficacy of this intervention and will inform the design of studies to further refine the resource and test it further.

Trial registration NCT04663594. Registered on 11 December 2020 (submitted in same form 27 November 2020). Protocol v1.0: 27 November 2020. Date recruitment began: 4 December 2020. Recruitment complete (estimate): February 2021

Peer Review reports


Despite the high prevalence of the common mental disorders, anxiety and depression, early in life [1] and their association with poor mental and physical health and socio-economic outcomes throughout the lifespan [2,3,4], many young people do not seek or receive help for such disorders [5,6,7]. Moreover, there is evidence that rates of mental disorders are rising in adolescents and young adults [8], and even those who have sought help are at high risk of discontinuing their contact with mental health services [9]. Thus, there is increasing interest in the community sector in supporting mental health in young people; however, there is little by way of experimental research in this area [5].

In the context of the COVID-19 pandemic, economic uncertainty and feelings of isolation brought about by social distancing measures have meant that mental health and wellbeing have become a major public health concern. An epidemiological study compared the proportion of the population of Great Britain with depression during the COVID-19 pandemic (June 2020) to previous to the pandemic (July 2019–March 2020). Young adults (aged 16 to 39 years) were more likely than other adults to experience depressive symptoms during the COVID-19 pandemic. Around one in three young adults experienced depressive symptoms (moderate-severe) during the COVID-19 pandemic compared with about one in nine previously [10].

Intervention research has focused on treatments administered by mental health professionals [5], the mainstay of which are medications and talking therapies. However, these may not be accessible, acceptable or appropriate for the majority of young people with mental health problems [2]. In this context, there is mounting interest in the community sector in delivering interventions for youth mental health, such as museums, libraries and outdoor activities. In this context, we conducted thorough searches for experimental studies of community resources for anxiety or depression ( We were unable to identify any trials investigating museums or online museums to treat, reduce or prevent anxiety and depression in young adults. This is consistent with a systematic review which sort to identify studies of strategies not accompanied by a mental health professional for anxiety and depression in children and young people, in which no studies of museums or online museums, were identified [5].

We have designed O-ACE POP (Online Active Community Engagement Proof of Principle Study), a randomised controlled trial, to investigate the efficacy and potential mechanisms of action of an innovative online museum experience to reduce anxiety and depression and support mental health in people aged 16–24, compared with a typical museum website (Table 1).

Table 1 WHO checklist

Preparatory work

During the first lockdown in the UK, many people turned to online content provided by museums and other cultural organisations . We conducted an online survey into the potential mental health benefits of online cultural resources. The self-reported mental health benefits of online culture were more marked in regular users of online culture and differed with age group. People aged 16–24 were less likely to be regular users of online culture, but echoing population studies [10], higher proportions had clinically significant levels of distress, signifying probable anxiety or depression. We therefore surmised that targeting by age group might maximise the benefits of online culture.

We then utilised qualitative research methodologies to investigate the potential mental health benefits of cultural resources in  young adults. We used this research along with co-production with young adults to design and produce an online cultural experience to reduce distress and support mental health in people aged 16–24. This led to the production of Ways of Being (WoB), a cultural web-experience used as an intervention in this trial. These studies will be presented and reported separately.


The O-ACE POP study is a randomised controlled trial, comparing an online cultural web experience designed to reduce distress and promote positive mental health in people aged 16–24 and a typical museum website. The participant flow chart is shown in Fig. 1.

Fig. 1
figure 1

Participant flow

Study objectives

  1. 1.

    To compare the effectiveness of the Ways of Being (WoB) web experience with the Ashmolean Museum Website on the primary outcomes of negative and positive affect and psychological distress and secondary outcomes, flourishing and loneliness

  2. 2.

    To explore the potential mechanisms of action of online culture using online cognitive tasks, the Facial Expression Recognition Task (FERT) and the Probabilistic Instrumental Learning Task (PILT)

Study design

The trial is designed as an online prospective, parallel group, exploratory randomised controlled trial. Eligible participants will be randomised in a 1:1 allocation to WoB or the Ashmolean Website, directing them to the Ashmolean from home collections (please see Fig. 1 for participant flow).


Online consent procedures will be followed. Ethics approval was provided by the University of Oxford Central University Research Ethics Committee (CUREC), approval reference number R70187/RE007. Any protocol amendments will be communicated to the REC, and any changes will be applied after the relevant ethics approval has been obtained. On the consent form, participants will be asked if they give permission to use anonymised data in future studies and to share data with other researchers (e.g. in online databases). They will also be asked if they give permission to be contacted for interviews or focus groups.

We followed ethical guidance and advice regarding consent procedures for this age range and are able to include people aged 16 and 17 years as competent youths. However, this category cannot be applied to those currently outside of the UK due to potential legislative differences.

Participants and recruitment

People aged 16–24 years (16–24 if based in the UK or 18–24 if based overseas) with access to a desktop or laptop computer running a recent browser (Edge or Chrome on Windows, and Safari or Chrome on a Mac) will be eligible for this study.

We will actively recruit people of the target age through social media (Facebook and Instagram), student organisations (e.g. Student Unions) and schools (e.g. via the online publication, The Day, an online news service for use in schools, colleges and homes) with a link to participant information and E-consent procedures for those who fulfil inclusion criteria and consent to entering their email address.

Consenting participants will enter a demographic questionnaire including information regarding country, age, gender, ethnicity, isolation status, income, relationship status, use of online culture, education, current employment, current and previous mental health and COVID-19 status. Participants will then be emailed a unique ID number and requested to complete a baseline assessment on a computer, including self-report measures, current antidepressant use and online tasks. They will then be randomised to WoB or the Ashmolean. Participants will be able to continue with other treatments for anxiety and depression as well as any other activities or interventions that they use to support their mental health. They will be asked about current antidepressant use and help-seeking.

Participants will have the option of consenting to text messaging to remind them to complete the intervention and measures. There will also be email reminders to complete the measures at day 5 and 6 weeks. In addition, participants will be offered Amazon vouchers as a thank you for their time at certain timepoints. Clear information regarding the time taken to complete questionnaires and tasks at each timepoint are clearly stated in the information for participants (see Table 2) (Fig. 2).

Table 2 Overview containing schedule and estimated times for completion of each stage provided in information for participants and at key points throughout the trial
Fig. 2
figure 2

Schedule of enrolment, interventions, and assessments. FERT, Facial Expression Recognition Task; PILT, Probabilistic Instrumental Learning Task; K10, Kessler Distress Scale


Ways of Being (WoB) is an online cultural experience designed to reduce symptoms of anxiety and depression and support mental health in people aged 16–24. Based on the findings of qualitative research with people of the target age range, human centred narratives and viewpoints are a focus of the experience. WoB was designed and produced via co-production with young people and will be described in full in a separate publication. The experience centres around the objects and artworks of the Ashmolean Museum in Oxford and partner museums. The experience combines text, audio and aesthetic elements. Each participant will be given a unique ID to log in to WoB.

The Ashmolean Website is a generic museum website owned by the Ashmolean Museum of Art and Archaeology at the University of Oxford. The Ashmolean is the oldest public museum in the UK and has rich and diverse collections from around the globe, ranging from classical civilisation to the Pre-Raphaelites and modern art. Participants will be directed to the Ashmolean from home collections.

Participants from both arms will be asked how much time they have spent on their allocated intervention. This will include self-report items on their use during the 3-day intervention phase and subsequent use in the 6-week follow-up period.


Primary outcomes

The Positive and Negative Affect Schedule

The Positive and Negative Affect Schedule (PANAS) is a widely used scale of emotion and comprises 20 items, 10 measuring positive affect (excited, inspired, etc.) and 10 measuring negative affect (upset, afraid, etc.), on a Likert Scale of 1 (very slightly) to 5 (extremely) [11]. This will be asked with reference to the previous seven days at baseline and 6-week follow-up, the previous 3 days at day 5 and at that precise moment twice daily during the 3-day intervention phase. The PANAS is a reliable and valid measure of depression and anxiety in young adults. The PANAS was chosen for this study as it is relatively stable but also sensitive to mood fluctuations if used with short-term instructions (e.g. now) [11]. The utility of this measure is enhanced by the provision of large-scale normative data in the general UK population [12]. The basic psychometric data for the PANAS was developed from studies in undergraduates, of a similar age range as the participants of this current study, and it is well validated in young adult populations [11].

In previous studies, negative and positive affect have emerged consistently as two dominant and relatively independent dimensions in the structure of affect. The Negative Affect (NA) scale of the PANAS is highly internally consistent, largely uncorrelated, and stable (Cronbach alpha reliabilities for intercorrelations and internal consistency range from .84 to .87) [11]. NA reflects the degree of subjective distress arising from various negative mood states, such as guilt, anger, fear and nervousness. High NA is related to self-reported stress and difficulty coping with negative events. The 10-item Positive Affect (PA) scale is valid and reliable with high internal consistency. Reliabilities range from .86 to .90 [11]. High PA is characterized by energy, concentration and engagement [11].

Psychological distress

The K10 is a well validated self-report measure of psychological distress [13]. The K10 comprises ten questions inquiring about the frequency of depressive and anxiety symptoms over the previous 4 weeks. The K10 has been used as an epidemiological measure to screen for clinically significant depression and anxiety in community samples worldwide. The K10 strongly discriminates between community cases and non-cases of mental disorders identified by a structured clinical interview [14]. In addition, it has been used as an outcome measure in intervention studies [13]. The K10 will be asked with reference to the previous 4 weeks at baseline and 6-week follow-up, and with reference to the previous 3 days at day 5. The K10 is a reliable measure with all items of relevance to young people of this age range [15].

Secondary outcomes


The Flourishing Scale is an 8-item measure of self-perceived success in domains such as self-esteem, relationships, optimism and purpose [16]. It is validated in community samples of young people internationally [17] and provides a single psychological well-being score.


The UCLA Loneliness Scale is a self-report inventory that uses a Likert-type scale to assess subjective feelings of loneliness [18]. There is a validated three-item version [19] to which we have added a direct measure of loneliness as recommended by the Office of National Statistics for measuring loneliness in those aged 16 years and over [20].

Online cognitive tasks

Facial Expression Recognition Task

The Facial Expression Recognition Task provides an objective measure of emotional bias which is associated with vulnerability to depression [21]. Facial expressions of anger, fear, disgust, sadness, surprise, are presented across different intensity levels (0–100%, in 10% steps) and participants are asked to indicate the facial expression that they can see. Two hundred fifty trials are presented split into separate blocks. Accuracy, reaction time and misclassifications are computed in this task. Low mood is associated with an increased tendency to pick up on negative facial expressions compared to positive ones [21]. This testing and analyses will be supported by the infrastructure of the NIHR Oxford Health Biomedical Research Centre

Probabilistic Instrumental Learning Task

The Probabilistic Instrumental Learning Task (PILT), adapted for use online, is based on the Instrumental Learning task described by Pessiglione et al. [22]. We chose this task as depression is characterized by deficits in reward-based decision making. In particular, reward sensitivity is thought to relate to anhedonia, a symptom seen in depression which reflects a deficit in the ability to experience pleasure. We hypothesised that the mechanism of action of cultural experiences on depression might involve an improvement in reward processing and therefore changes in the performance of this task may signify changes in the vulnerability to depression relating to a cultural intervention. This could provide vital clues as to the underlying mechanism by which such interventions might work on a neural level.

The PILT has been described in full elsewhere [23, 24]. In brief, the participant gains or loses points by choosing between two paired images. Participants are required on each trial to choose one of two pairs of symbols. One pair is associated with win outcomes (win 20 pence or no change) and the other with loss outcomes (lose 20 pence or no change). Each symbol in the pair corresponds to reciprocal probabilities (0.7 or 0.3) of the associated outcomes occurring. Participants are instructed to pick the symbol they believe is most likely to win (or least likely to lose), with the aim of maximising their monetary pay off. Feedback on the outcome of each trial is given after a choice is made. Participants complete two runs of the task, each with a new set of four symbols. The total amount won, total amount lost, end total, symbol choice and choice consistency are recorded. The explicit aim is to maximise points.

Trial feedback

At the 6-week follow-up, we will include a research experience survey, based on the NIHR Research Experience checklist ( This survey includes 8 items asking participants to rate various aspects of their research experience on a Likert scale (1—strongly disagree to 5—strongly agree).

Power analysis and sample size

We aim to recruit over 400 participants. We approximated the statistical power to detect a significant effect of WoB on PANAS scores by assuming an effect size of 0.3 standard deviations of group (WoB vs. Ashmolean Website). With 200 participants in each group, and no pre-intervention differences, a Welch’s t test would have 85% probability of rejecting the null hypothesis under these parameters.

Randomisation and blinding

Participants will be randomized using computer generated random sequencing, in blocks of six stratified by gender with an equal allocation ratio. The allocation sequence is to be configured by a data manager blinded to the allocation group. The participants will be allocated by a researcher blinded to all study data except gender during the entire randomisation and allocation procedure. The participants will be aware of which intervention they have been allocated to. The interventions as well as all measures are online and self-report.

Data management

The Gorilla Experiment Builder ( is a cloud-based research platform that allows researchers to design and administer behavioural (reaction-time) experiments online.

The Gorilla database is encrypted. The investigators own the data that has been collected using Gorilla as well as the data. The investigators can generate and access the anonymized data from Gorilla. Data containing personal identifiable information (e.g. email addresses) are stored in a separate database from the anonymised research database; both hosted by Gorilla. Participants who do not complete measures within a reasonable timeframe from allocation will be timed out of the research database. Completed data will be downloaded and safely stored for statistical analysis on the University of Oxford Study drive.

Analysis plan

A descriptive analysis will be performed for the whole population and each group (WoB and Ashmolean Website). Categorical variables will be described, presenting the numbers and frequency of each. Quantitative variables will be described using usual positional and dispersion parameters.

We will perform an intention to treat analysis to include all participants randomised with any outcome data. Participants will continue to be invited for assessments whether or not they use the allocated intervention. Missing item responses are not possible by design. Missing data, if any, will happen due to participants discontinuing with outcome assessments. However, their data for timepoints prior to that will still be included in the multilevel model, so no additional methodological steps are required regarding missing data.

For NA and PA we will separately regress the subscale means on baseline score (Day 1 measurement), an indicator for Group (Ashmolean website / WoB), and contrast code age (16-17 / 18-24), sex (Male / Female), ethnicity (White / Other), relationship status (In / Not in relationship or other), and current antidepressant use (Yes / No). We will include random intercepts for participants. As there are multiple timepoints at which the group comparison could be made, we will allow the Group effect to vary as a random effect across the measurement timepoints. We will perform a similar analysis for the K10, however as there are fewer measurement timepoints for the K10 compared to the PANAS (2 vs 8) we treat time points as fixed effects. This is the same for secondary outcomes, flourishing and loneliness. The 6-week measures are primarily included to assess whether early differences in the performance of cognitive tasks predict changes in the primary outcomes at 6 weeks.

We will conduct subgroup analyses based on age group (16-17 or 18-24), sex, ethnicity, baseline mental disorder, antidepressant use and previous regular use of online culture (more or less than once a month). We hypothesise that mental disorder at baseline, those not on antidepressants and regular users of culture would be more likely to demonstrate group differences.

Embedded qualitative study

An embedded qualitative study will be conducted in order to ascertain participants experience of the interventions and research process to aid interpretation of the quantitative data and ascertain their views regarding the optimal use of the interventions and further testing. More specifically participants will be asked about the following:

Experience of the intervention

  • Helpfulness to mental health

  • Adverse or unintended consequences

  • Optimal time of use

  • Suggestions for improvement for mental health

Experience of the research

  • How the process of participation in the study was experienced

  • How the testing was experienced

  • Suggestions for improvement for the research process and/or testing

Participants who have consented for further contact will be selected purposively and iteratively. Baseline data will be used to ensure heterogeneity by sociodemographic characteristics, mental health status and previous use of online culture. Participants will be emailed to invite them to consent for a focus group. Focus groups will be conducted separately for each intervention arm at a time convenient to the participants via Zoom. These will be recorded and transcribed for analysis by a multidisciplinary team with expertise in qualitative methodologies. We aim for at least 12 participants to be included in focus groups. When assessing thematic saturation, the sample size will be reviewed [25].

At the 6-week follow-up, there will be free text items regarding what was positive about the research experience and what could be improved. There will also be items relating to the experience of using the allocated intervention and how its use could be optimised for mental health, including two free text options, ‘Please describe any noticeable positive or negative impacts of your allocated cultural experience’ and ‘Are there any ways in which the allocated intervention could be improved for mental health, in your opinion?’

Transcripts and free text responses will be analysed separately. Both transcripts and free text responses will be coded using specialist computer software, NVIVO [26]. Data analysis will take a sequential-explanatory approach [27]. We will combine deductive and inductive methods to investigate whether the theory developed in the preparatory phase holds true, but we will also be open to emerging themes. Analytic meetings will be held with the research team to discuss and optimise validity. Attention will be paid to integrating quantitative and qualitative aspects for evaluating the trial and its interventions [28].


The study will be overseen by a Trial Steering Committee. The Trial Steering Committee will meet regularly and at key stages of the trial, at a minimum at planning, pre-recruitment and prior to completion. The Project Management group will meet at least weekly for the duration of the trial. Any data-related issues, should they arise will be discussed within the Project Management group and with the Trial Steering Committee at the next meeting, or meetings will be expedited if deemed necessary. Access to study data will be provided to authorised representatives from the Sponsor for monitoring and audit purposes if required.

The Trial Steering Committee consists of the Head of Department and researchers from the University of Oxford Department of Psychiatry, a Consultant Psychiatrist, two staff members from Oxford University Gardens, Libraries and Museums, three Public and Patient involvement (PPI) members, researchers from the Oxford Internet Institute (including the Director of Research) and three students and members of staff from the target age range. The Trial Steering Committee decided that a separate Data Monitoring Committee would not be necessary based on the short time frame of the intervention phase and low risk nature of the trial.

Both interventions and trial procedures relevant to the first 5 days of the study have already been trialled on eleven volunteers and detailed feedback taken and discussed in detail by the Trial Steering Committee. This is a low-risk study, and we do not anticipate any reasons for unblinding; therefore, study-specific interim analyses, stopping or unblinding procedures have not been put into place. Should the need arise, the relevant University of Oxford standard operating procedures will be followed.


O-ACE POP has two main goals. The first is to assess the effectiveness of a web-based cultural experience tailored to support mental health in young people compared with the Ashmolean Museum Website, on measures of mood, as well as loneliness and flourishing. The second is to investigate the impact on objective measures (cognitive tasks) predicting vulnerability to common mental disorders. Young people identified that human based narratives and other people’s viewpoints would have the potential to reduce distress, improve their mental health and enhance feelings of connection with others. This study will allow us to examine whether an intervention based directly on the opinions and experiences of young people and targeted at them has the potential to work over and above what is already available (without these specific features). This study will allow us to explore who, how and if online cultural experiences are effective for the mental health of young people.

Completing this study in this age range has many important advantages. First, given the trajectory of common mental disorders, this is a critical timepoint for minimising their impact in terms of disease burden, lifetime distress, illness and social and economic factors such as lost productivity. Second, this is a peak period for development of common mental disorders and, thus, a critical timepoint for prevention. Third, research in this age range is less likely to be confounded, for example by multiple episodes and medical or psychological interventions.


Many now advocate the engagement of young people, co-production and an increased evidence base for community interventions for CMDs in young people [5]. This trial is the first of its kind, and whilst ambitious in its endeavour, there are no previous trials of online museums for mental health in young people on which to build. We worked closely with young people of the target age-range to co-produce the web experience and with PPI of the target age range to design the experiment. We have kept broad inclusion criteria so as not to exclude people who could potentially benefit and use subgroup analyses to generate hypotheses as to the optimal use of these interventions, for investigation in further studies. We also piloted the study and intervention on eleven volunteers in order to assess smooth running of the procedures and identify any potential unintended or adverse effects. On detailed discussion amongst the study team and trial steering committee, given the feedback from volunteers, the nature of the interventions and length of the intervention phase, the risk of adverse effects were deemed minimal.


Due to technical aspects of the cognitive tasks and the WoB web-experience, for inclusion into this study participants require access to a computer (laptop or desktop) with a recent Web Browser. This may mean that some groups may not access this study or may not fulfil the inclusion criteria. It is difficult to assess how many people this may apply to. However, internet access in general has increased in recent years. In 2020, 96% of households in Great Britain had internet access, an increase from 93% in 2019 and 57% in 2006 [29]. Many of the barriers to internet use involve not wanting to use the internet or concerns regarding security [30]. It is not clear from the literature how many people in this specific age range would not have access to a computer with a recent browser and how this relates to their mental health need.


Studies that attempt to quantify the potential benefits of community resources for mental health may aid policy makers to make informed decisions regarding allocation of limited resources. In addition, the accessibility of technological resources for using, optimising or testing the mental health benefits of community resources is a major consideration for which evidence is scarce. For example, further generations of optimised community webtool interventions and perhaps even the platforms for testing of their mental health benefits may become possible on Smartphones or Tablets, thus increasing the accessibility of such interventions and studies to people from lower income groups who may have reduced access and potentially greater mental health need. In addition, this study develops rigorous testing to methodologies which encompass engagement with young people and co-production of engaging and acceptable interventions.

The COVID-19 pandemic and associated restrictions has been detrimental to the mental health of the population but has provided a unique opportunity to design an innovative approach for mental health in young adults. Findings derived from this study will allow us to evaluate the efficacy of these interventions and will lay the groundwork for the design of studies to further enhance, refine and test online and in-person cultural resources for mental health in target populations. Moreover, it will allow us to identify whether online experimental studies in the area of community resources for mental health in young people are a fruitful avenue for research.

Availability of data and materials

The authors will have access to the study data. We plan to make the dataset and coding used for the analysis available on the Open Science Framework.


  1. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):593–602.

    Article  PubMed  Google Scholar 

  2. Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA. 2004;291(21):2581–90.

    Article  PubMed  Google Scholar 

  3. Lewinsohn PM, Rohde P, Seeley JR, Klein DN, Gotlib IH. Natural course of adolescent major depressive disorder in a community sample: predictors of recurrence in young adults. Am J Psychiatry. 2000;157(10):1584–91.

    Article  CAS  PubMed  Google Scholar 

  4. Nock MK, Hwang I, Sampson N, Kessler RC, Angermeyer M, Beautrais A, et al. Cross-national analysis of the associations among mental disorders and suicidal behavior: findings from the WHO World Mental Health Surveys. PLoS Med. 2009;6(8):e1000123. Epub 2009 Aug 11.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Wolpert M, Dalzell K, Ullman R, Garland L, Cortina M, Hayes D, et al. Strategies not accompanied by a mental health professional to address anxiety and depression in children and young people: a scoping review of range and a systematic review of effectiveness. Lancet Psychiatry. 2019;6(1):46–60. Epub 2018 Dec 3.

    Article  PubMed  Google Scholar 

  6. Rickwood DJ, Deane FP, Wilson CJ. When and how do young people seek professional help for mental health problems? Med J Aust. 2007;187(S7):S35–9.

    Article  PubMed  Google Scholar 

  7. Gulliver A, Griffiths KM, Christensen H. Perceived barriers and facilitators to mental health help-seeking in young people: a systematic review. BMC Psychiatry. 2010;10(1):113.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Auerbach RP, Mortier P, Bruffaerts R, Alonso J, Benjet C, Cuijpers P, et al. WHO World Mental Health Surveys International College Student Project: prevalence and distribution of mental disorders. J Abnorm Psychol. 2018;127(7):623–38. Epub 2018 Sep 13.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kim H, Munson MR, McKay MM. Engagement in mental health treatment among adolescents and young adults: a systematic review. Child Adolesc Soc Work J. 2012;29(3):241–66.

    Article  Google Scholar 

  10. Vizard TDJ, White E, Beynon B. Coronavirus and depression in adults, Great Britain. Off Natl Stat. 2020.

  11. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–70.

    Article  CAS  PubMed  Google Scholar 

  12. Crawford JR, Henry JD. The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample. Br J Clin Psychol. 2004;43(Pt 3):245–65.

    Article  PubMed  Google Scholar 

  13. Andrews G, Slade T. Interpreting scores on the Kessler Psychological Distress Scale (K10). Aust N Z J Public Health. 2001;25(6):494–7.

    Article  CAS  PubMed  Google Scholar 

  14. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–76.

    Article  CAS  PubMed  Google Scholar 

  15. Andrews G, Issakidis C, Carter G. Shortfall in mental health service utilisation. Br J Psychiatry. 2001;179(5):417–25.

    Article  CAS  PubMed  Google Scholar 

  16. Diener E, Tov W, Kim-Prieto C, Oishi S, Biswas-Diener R. New well-being measures: short scales to assess flourishing and positive and negative feelings. Soc Indicators Res. 2009;97:143–56.

    Article  Google Scholar 

  17. Romano I, Ferro MA, Patte KA, Diener E, Leatherdale ST. Measurement invariance of the flourishing scale among a large sample of Canadian adolescents. Int J Environ Res Public Health. 2020;17(21):7800.

    Article  Google Scholar 

  18. Pontinen HM, Swails JA. UCLA Loneliness Scale. In: Zeigler-Hill V, Shackelford TK, editors. Encyclopedia of personality and individual differences. Cham: Springer International Publishing; 2018. p. 1–3.

    Google Scholar 

  19. Hays RD, DiMatteo MR. A short-form measure of loneliness. J Pers Assess. 1987;51(1):69–81.

    Article  CAS  PubMed  Google Scholar 

  20. Measuring loneliness: guidance for use of the national indicators on surveys. Office of National Statistics. 2018.

  21. Harmer CJ, Cowen PJ, Goodwin GM. Efficacy markers in depression. J Psychopharmacol. 2011;25(9):1148–58.

    Article  CAS  PubMed  Google Scholar 

  22. Pessiglione M, Seymour B, Flandin G, Dolan RJ, Frith CD. Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans. Nature. 2006;442(7106):1042–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Walsh AEL, Browning M, Drevets WC, Furey M, Harmer CJ. Dissociable temporal effects of bupropion on behavioural measures of emotional and reward processing in depression. Philos Trans R Soc Lond B Biol Sci. 2018;373(1742).

  24. Walsh AEL, Huneke NTM, Brown R, Browning M, Cowen P, Harmer CJ. A Dissociation of the acute effects of bupropion on positive emotional processing and reward processing in healthy volunteers. Front Psychiatry. 2018;9:482.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Fofana F, Bazeley P, Regnault A. Applying a mixed methods design to test saturation for qualitative data in health outcomes research. PLoS One. 2020;15(6):e0234898.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. NVivo qualitative data analysis software. QSR International Pty Ltd. Version 12 ed. 2018.

    Google Scholar 

  27. Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350(mar19 6):h1258.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Creswell JW, Plano Clark VL. Designing and conducting mixed methods research. Los Angeles: SAGE; 2017.

    Google Scholar 

  29. Prescott C. Internet access – households and individuals, Great Britain: 2020. Off Natl Stat. 2020.

  30. Blank GAD, William H, Lefkowitz J. Perceived threats to privacy online: the Internet in Britain, the Oxford Internet Surve. SSRN; 2019.

    Google Scholar 

Download references


We would like to thank the following PPI members for their valuable input on the materials used for this trial, Rebecca Woolford, Tharuka Nanomi Arachchige and Louise Chandler


Recruitment and commencement December 2020

Expected completion February/March 2021

Dissemination policy

We plan to publish the results of the study in an academic journal and on the Ashmolean and/or Oxford University Department of Psychiatry websites for members of the public. We will present a summary of key findings in a format that is accessible to a wide audience.


Identifiable data (e.g. email addresses) will be stored separately from research data which will only be linked to participant IDs. There will be restricted access to this data on Gorilla to only up to three researchers-members of the team.

Any downloads needed to be made for the purposes of analysing and reporting the results to the Investigators’ team will be done on encrypted desktops or laptops and saved immediately in password-protected Excel spreadsheets on the restricted-access study folder on the University network drive.

Participant identifiable information will be safely discarded at the end of the study. If audio-recording is consented to, recordings will be saved on an approved PIN-protected recorder and saved to the restricted access study folder on the University network drive. The audio will be transcribed at a later point. Identifiable information will not be recorded on transcripts. The anonymous transcripts will be linked to participant IDs (PID)s.


This study is sponsored by the University of Oxford COVID-19 Research Response Fund and supported by the NIHR Oxford Health Biomedical Research Centre, The Westminster Foundation and the Huo Family Foundation. The sponsors did not have a role in designing the study, the collection of the results, in the analysis or interpretation of data, the writing of the manuscript or in the decision to submit for publication. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

Author information

Authors and Affiliations



Trial design: RJSS, MV, ER, HA, CH, AP and JRG. Trial implementation: RJSS, ER and HA. Manuscript preparation: RJSS, MV, ER, CH, AP and JRG. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Rebecca J. Syed Sheriff.

Ethics declarations

Ethics approval and consent to participate

Online consent procedures will be followed. Ethics approval was provided by the University of Oxford Central University Research Ethics Committee (CUREC), approval reference number R70187/RE007. Any protocol amendments will be communicated to the REC, and any changes will be applied after the relevant ethics approval has been obtained.

Consent for publication

We can provide a model study consent form on request.

Competing interests

AKP was supported by grants from the Huo Family Foundation and the Economic and Social Research Council (ES/T008709/1).

ER’s role is funded by the NIHR Efficacy and Mechanism Evaluation Programme (16/127/17).

RJSS, MV, HA, CH and JRG report no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Syed Sheriff, R.J., Vuorre, M., Riga, E. et al. A cultural experience to support mental health in people aged 16–24 during the COVID-19 pandemic compared to a typical museum website: study protocol of an online randomised controlled trial. Trials 22, 482 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: