- Open Access
Feasibility of a secondary school-based mental health intervention: Reprezents’ On The Level
Child and Adolescent Psychiatry and Mental Health volume 16, Article number: 98 (2022)
There is a need for innovative school-based mental health interventions to promote good mental health, healthy coping strategies, and engagement with support services. Consequently, Reprezent, a youth development organization, with mental health professionals and young people co-developed an online mental health intervention show, On The Level (OTL). This study assessed the acceptability and feasibility of delivering OTL to young people (aged 11–18 years) in 36 secondary schools across London and Essex, UK.
OTL was delivered online as part of the school curriculum, in classrooms at timepoint 1 (T1, 50 min). Follow-up data was collected at timepoint 2 (T2) 4–6 weeks later, during a 20-min OTL review show. For interactive OTL elements and data collection participants logged into an online survey. Measures of acceptability and engagement, mental health and well-being outcomes and intervention evaluation were taken at T1 and T2. We also assessed the feasibility of implementing the OTL intervention in secondary schools.
10,315 participants received the intervention (T1) and 3369 attended the follow-up session (T2), this high attrition, and potential selection bias, was due to only 30% of schools being able to take part in T2. Rates of acceptability were high among young people and school staff. At T1, 88% found OTL engaging, and 84% felt more confident they had the tools to help them better manage stress and anxiety. At T2, 66% viewed mental health in a more positive way, and 71% had better understanding of how to maintain good mental health. Rates of engagement with mental health tools and services were good, and significant reduction in levels of stress were found 4–6 weeks after the OTL show (T2). The low mental health and well-being indices reported by the school children at baseline strongly support the need and use for a mental health intervention such as OTL in secondary schools.
These findings indicated good feasibility and acceptability of OTL intervention and support the delivery of the OTL mental health intervention at UK-based secondary schools to educate young people about mental health and well-being and give them the necessary tools to support their mental health.
Adolescence is a prolonged developmental period and a key time for identity formation, developing resilience, self-awareness, and self-regulation skills [38, 45, 54]. During this time some adolescents show increased vulnerability to experiencing, academic and school-related problems [12, 30, 51], and social pressures , and increased vulnerability for poor mental health , with symptoms of lifelong mental illness typically developing prior to the of age of 25 [4, 14, 15, 31].
It has been suggested that the stress and anxiety associated with the various aspects of the COVID-19 pandemic would result in even higher levels of poor mental health of young people [26, 37]. Indeed, during the global COVID-19 pandemic, it has been increasingly recognised that young people worldwide have been adversely affected [8, 18, 25]. The pandemic, and especially the various lockdowns, have resulted in acute loss of normal social connections [8, 18], mental health support , and greater uncertainty about the future  for young people, with a number of studies reporting an increase in mental health issues such as anxiety, stress, and depression by some young people since the beginning of the pandemic [28, 33, 35, 55]. This has brought to the fore, the pressing need to address as a priority, the mental health and well-being of young people [22, 56].
Schools have an important role to play in the promotion of mental health and wellbeing, as a universal setting whereby positive mental health and wellbeing is promoted and early identification, support and intervention could be provided for those with specific mental health needs [7, 20]. Owing to the unique positioning throughout the formative years of childhood and adolescence, schools can play a central role in making mental health and wellbeing support more accessible, increasing mental health knowledge and reducing stigma associated with seeking mental health support , reported as key barriers to seeking and accessing mental health support reported among young people . Providing effective mental health knowledge and support at school has challenges owing to a lack of staff mental health training, resources availability, and time constraints that exist within the school system [34, 52] and during the pandemic and lockdowns, issues with being able to deliver face-to-face mental health support to students in schools [10, 16, 42]. Furthermore, much of the research investigating school-based mental health interventions is reportedly based on small sample sizes [19, 21], a lack of adherence and engagement measures  and potential social desirability bias where interventions were delivered by class teachers .
There is therefore a need for innovative school-based interventions that aim to raise awareness of mental health among young people and to promote healthy coping strategies and engagement with support services. Mental health support, education, and tools are essential in addressing the potential impact of COVID-19 on young people’s mental health and well-being [29, 42, 50]. To address this Reprezent, a youth advocacy group, together with mental health professionals and young people co-developed an online mental health show, On The Level (OTL). Reprezent is a youth development organisation and media platform, helping young people realise their full personal potential through core social, emotional and communication skills. They run training and development programmes and champion youth culture through a London-wide radio station, REPREZENT 107.3FM. The OTL intervention components were based on a cognitive-behavioural framework comprising elements of psychoeducation, role modelling, monitoring stress/anxiety, practical support, safeguarding, and cognitive behavioural strategies. Reprezent delivered the OTL intervention online via an interactive show in schools across London and Essex, UK. Each event is presented by young people who have been trained by Reprezent to provide mental health education and support to young people.
The overarching aim of this feasibility study was to investigate the feasibility of the On the Level (OTL) Mental Health intervention for a future larger RCT study that will examine the effectiveness of OTL delivered to young people in secondary schools. The first objective was to assess the acceptability, engagement and demand for the OTL intervention among young people and the school staff who facilitated the intervention in class. The second objective was to determine the feasibility of implementing the intervention in secondary schools. The third objective was to assess the feasibility of the study methods utilised. Finally, we assessed the feasibility of a range of potential outcome measures.
Design and procedure
A single-arm feasibility study design was adopted for this study. Data was collected between March and July 2021 at two timepoints; T1 and follow-up (T2) 4 to 6 weeks after T1 (see Fig. 1). The data collection period followed the third COVID-19 lockdown in England. Assessment of mental health and demographic information was collected at T1 (pre-intervention, just before the start of the OTL show and follow-up (T2, 4 to 6 weeks after T1). Participants’ views of the acceptability of the OTL intervention and self-reported engagement with mental health services and tools were assessed at post-intervention and follow-up. Assessments of acceptability and ease of use data was collected from the staff members who facilitated the OTL intervention during class at post-intervention. Staff members who facilitated the intervention during class provided feedback, via Survey Monkey (an online survey software, https://www.surveymonkey.co.uk/) on measures of acceptability, ease of use and demand for the OTL intervention in the school.
Setting-level recruitment took place between October 2020 and March 2021 from 36 secondary schools. Information about the project was sent to schools via email or a phone call from the study team. Consent to deliver the OTL intervention was obtained from headteachers, pastoral leads or year heads prior to intervention delivery. The 50-min intervention was delivered in classrooms during school hours, presented as an online show at timepoint 1 (T1). Follow-up data was collected at timepoint 2 (T2) during a 20-min OTL review show. Data was collected using an on line survey delivered via Slido (an online interactive polling and questions platform, https://www.slido.com), to which participants were required to log into on their mobile phones, tablet or other online devices available at the school. School staff members oversaw the delivery of the intervention through supporting students to access the intervention and complete the survey measures whilst ensuring the school safeguarding procedures were followed during and after the intervention. Staff members were supported with resources and instruction from the team at Reprezent. Table 1 provides an overview of the OTL mental health intervention and the review show content.
As a universal intervention, all young people in participating classes were invited to take part in the study. Participants were young people aged between 11 and 18 years who attended one of 36 secondary schools in London or Essex, UK (Demographic information, Table 3).
The OTL intervention aimed to encourage young people to manage their mental health and wellbeing through raising awareness and promoting increased self-awareness and knowledge about their own emotions and development including young people were encouraged to engage with mental health conversations and introduced to tools for practical support. This was a collaborative project between University of Sheffield psychology researchers and Reprezent, a popular youth radio station designed for and presented by young people. The intervention was co-developed with young people, mental health professionals, teachers and presented by young people employed by Reprezent. The intervention was filmed in advance and then broadcast in classrooms, comprising a range of NHS commissioned digital health services (e.g., Kooth online counselling service), digital platforms (Slido) and interactive intervention elements to promote engagement and relevance among young people during the show. The main components, tools and techniques delivered during the intervention are shown in Table 1. Specifically, the intervention components were based on a cognitive-behavioural framework comprising elements of psychoeducation, role modelling, monitoring stress/anxiety, practical support, safeguarding, and cognitive behavioural strategies. Participants were encouraged to reflect on their own mental health experiences and methods of coping during the intervention by responding to various questions prompted throughout the intervention (presented in Additional file 1: Table S1). Support included preventive mental health tools (e.g., a ‘mental health 5-a-day’ tool co-developed with young people specifically for the OTL mental health intervention) and mental health services for young people experiencing mental health difficulties, such as Kooth and Woebot. The ease of use and guidance for the school staff members was a priority in light of the challenges and time constraints following the closure of schools across England during the pandemic.
Participant demographic information (age, gender, ethnicity, year group, school and longitudinal tracking data which included the first two letters of first name and month of birth) was collected at baseline and follow-up. The outcome measures were collected at the three timepoints (baseline, post-intervention and follow-up). A summary of the study measures, approaches and analyses for the study objectives is presented in Table 2.
Acceptability, engagement and demand for the OTL intervention (objective 1)
Acceptability and engagement with the OTL intervention assessed at post-intervention and follow-up (see Additional file 1: Table S2 for survey questions). To assess the acceptability of OTL at T1 participants completed an evaluation survey immediately after the intervention.
This included questions about how engaging participants found the intervention, their perceived confidence in having the tools to manage stress and anxiety, helpfulness and intent to use the mental health tools and/or services presented in the show, and their confidence in offering advice to a friend who was feeling stressed. Assessment of the acceptability of OTL at T2 included questions related to participant’s views of mental health and their understanding of what is needed to maintain good mental health since the intervention. Engagement was assessed at T2 via self-reported use of the mental health tools and services that were presented in the OTL intervention.
The school staff member survey included questions to assess the staff member’s views of intervention acceptability, ease of use and the importance and need for a mental health intervention at T1. The survey included questions related to data collection procedures, ease of use, and importance and recommendation of OTL to other schools (see Additional file 1: Table S3 for the survey questions).
Feasibility of implementing the intervention (objective 2)
Recruitment was assessed at setting-level by the percentage of secondary schools who were contacted, raised initial interest, enrolled, and took part in the study. Reach was assessed at individual-level by the percentage of participants who were potentially eligible to take part, excluded, and participated in the study. Retention was assessed at setting-level by the percentage of schools who returned at follow-up and at individual-level by the percentage of participants that completed follow-up (T2).
Differential attrition was assessed by differences in demographic characteristics between participants who were (a) full responders, and partial and non-responders and (b) matched (T1 and T2) and non-matched (T1 only) participants, on mental health and well-being outcome measures collected at baseline and follow-up.
Feasibility of study methods (objective 3)
Data collection methods were assessed by the proportion of participant responses (responders) and incomplete responses (partial or non-responders) for measures collected at baseline, post-intervention and follow-up. Completion rates for each survey varied as response to the survey items was voluntary. Data collection adherence was assessed by the extent to which data was collected as intended at the key timepoints (i.e., baseline, post-intervention and follow-up). The procedure of longitudinal tracking was assessed by matching participants on a range of criteria (age, gender, ethnic background, school year, school) taking into consideration possible changes in age and school year between T1 and T2.
Assessing intervention need and feasibility of potential outcome measures (objective 4)
Mental health and well-being outcomes were collected just before the start of OTL intervention show at T1 (baseline) and before the start of the review show at T2 (follow-up). At baseline (T1) self-report of mental health indices were used to assess the need for a mental health intervention in secondary school pupils. Differences between mental health outcomes were compared between T1 and T2 to assess the feasibility of using these outcome measures in a future random control trial (RCT) study. The mental health and well-being survey comprised of 20 questions related to mental health, well-being and health-related behaviours.
Mental health. To assess anxiety presence, we used the 1-item measure: “Over the past week have you felt anxious?” on a 6-point Likert scale from 0 = ‘At no time’ to 5 = ‘All of the time’ .
To assess depression presence, we used the 1 item measure: “Over the past week have you felt depressed?” on a 6-point Likert scale from 0 = ‘At no time’ to 5 = ‘All of the time’ .
Perceived stress was measured using the 4 item Perceived Stress Scale . The scale contains four items rated on a 5-point Likert scale from 0 = ‘never’ to 4 = ‘very often’. Total scores range from 0 and 16 a higher score indicates higher perceived stress. Stress was also measured using a stress dial item which asks participants to rate which level they felt they were on the stress dial from ‘Green – Healthy’, ‘Yellow – Coping’, ‘Orange – Struggling’, ‘Red – Critical’. This measure was co-developed as part of public involvement with secondary school students for the purposes of assessing different levels of stress, ranging from ‘healthy’ to ‘critical’, in a relevant and acceptable way.
Well-being. To assess life satisfaction we used the 1 item measure: How satisfied are you with your life as a whole?” on a 5-point Likert scale from 0 = ‘Not at all satisfied’ to 4 = ‘Very satisfied’ .
To assess mental well-being we used The World Health Organisation-Five Well-Being Index [1, 53]. The scale contains five items rated on a 6-point Likert scale from 0 = ‘At no time’ to 5 = ‘All the time’. One item was adapted to better suit the school-aged pupil population (the statement “I have felt active and vigorous” was changed to “I have felt active and energetic”). Total scores range from 0 to 100 (total raw score is multiplied by 4) and a higher score indicates better well-being.
Internal locus of control was assessed using a derived Locus of Control (LOC) scale adapted from the Department of Education report . The scale contains three items rated on a 4-point Likert scale from 0 = ‘Strongly disagree’ to 3 = ‘Strongly agree’. Items included: ‘How much do you agree with this statement: ‘People like me don’t have much of a chance in life’, ‘How well you get on in this world is mostly a matter of luck’, ‘Even if I do well at school, I’ll have a hard time getting the right kind of job’. Total scores range from 0 and 9 and a higher score indicates a lower internal locus of control.
Health behaviours. Sleep was assessed by asking participants to indicate how many hours they typically slept per night with response options ‘less than 5 h’, ‘6–7’, ‘7–8’, ‘8–9’, ‘more than 9 h’.
Time spent using a screen (e.g., phone or computer) was assessed by asking participants to indicate how many hours they typically spent looking at screens per day with response options ‘1–4 h’, 5–7 h’, ‘more than 7 h’.
Advice seeking was assessed by the question: “Please finish this phrase “When I am stressed, anxious or in a low mood I tend to…” with response options 1 = ‘seek help and advice online’, 2 = ‘speak to friend(s)’, 3 = ‘speak to family member(s)’, 4 = ‘deal with it on my own’, 5 = ‘seek expert advice or counselling’).
The study was reviewed and approved through the formal Research Ethics procedure at the University of Sheffield (036380). Student participation was voluntary and anonymous, and all data was kept confidential.
Table 2 summarises the data analysis methods used to assess the primary and secondary objectives. Descriptive statistics were used to present participant characteristics to show the demographic profile of the sample, and acceptability and feasibility outcomes. Participants who completed T1 and T2 were matched based on specified criteria (first two letters of first name, month of birth, age, gender, ethnic background, school) to assess the process of tracking participants longitudinally. Chi-square tests assessed differences in demographic characteristics for (a) responders, partial- and non-responders on mental health outcome measures; (b) matched participants, who completed T1 and T2, and non-matched participants who completed T1 only. Post hoc tests (z-tests of two proportions) were run for significant findings to explore the differences between categories. Bonferroni adjustments were made to account for multiple comparisons (a P-value of P < 0.0167 and P < 0.0125 was accepted for gender and ethnic background, respectively). Non-parametric Wilcoxon Signed-Rank tests comparing matched T1 and T2 data assessed differences in mental health outcome measures between T1 and T2. All statistical analyses used SPSS Version 26.0.
A total of 10,370 young people from 36 schools logged onto the OTL show via Slido at T1. Fifty-five responses were removed based on the exclusion criteria for age (> 18) resulting in 10,315 eligible participants who were included in the analysis for T1. A total of 3388 young people from 11 schools logged onto the OTL review show via Slido at T2. Nineteen responses were removed based on the exclusion criteria for age (> 18) resulting in 3369 eligible participants who were included in the analysis for T2. A total of 38 staff members completed the feedback survey and were included in the analysis at T1.
Baseline characteristics of the participants at baseline (T1) and follow-up (T2) are shown in Table 3. The sample was aged between 11 and 18 years at T1 (M = 13.56, SD = 1.36) and T2 (M = 13.53, SD = 1.23). A greater proportion of females than males took part in the intervention at both time points, and the proportion was most unequal at T2 (T1 F = 55%, T2 F = 62%). The majority were from White (60.7% at T1 versus 49.8% at T2) or Black (19% at T1 versus 24.3% at T2) ethnic backgrounds. Of the 36 schools that took part in T1, 17 schools were based in London and 19 schools were in Essex. Of the 11 schools that took part in T2, 8 schools were based in London and 3 schools were in Essex.
Objective 1. Acceptability, engagement and demand of OTL intervention
Acceptability and engagement data for the OTL intervention collected from participants at T1 and T2 are shown in Table 4. Immediately after the OTL intervention at T1 the majority of participants reported that they found the OTL intervention engaging (88.5%) and felt more confident they had tools to help them better manage stress and anxiety (83.8%). Around three-quarters (76.1%) felt confident to offer advice to a friend who was feeling stressed. The majority of participants reported intent to try one or more of the mental health five-a-day techniques of creating headspace or doing something else (34%), a breathing technique (27.5%) or noticing what was going on for them at the time (18.3%). Almost half (48.3%) of participants reported they might use the Woebot app, whilst 38% would consider using the Kooth Online Counselling service. At T2 (4–6 weeks post-intervention), two-thirds of the sample (66.0%) reported that they viewed mental health in a more positive way and three-quarters (71.2%) reported that they now had a better understanding of what they need to do to maintain good mental health since they watched the show. Three quarters (75.6%) of young people also reported that they would like to see another OTL show. We assessed participant use of mental health services and tools at T2, where 10% of participants reported that since the show they had used the online counselling service, Kooth, one or more times and 34.7% used at least one of the OTL mental health 5-a-day tools.
Acceptability and ease of use data for staff members
Acceptability and ease of use data for staff members is presented in Table 6. The majority of staff members reported that they thought the OTL intervention was good or excellent (94.8%) and the approach taken to the mental health content covered was viewed positively (97.4%). The majority of staff members reported that accessing the link to the intervention was very easy (86.8%) and accessing the data collection tool, Slido, was easy for their students (92.1%). All staff members agreed that the information provided in OTL was important for young people in their school and that they would recommend the OTL intervention to other schools.
Objective 2. Feasibility of implementing the intervention
Recruitment, reach and retention
Recruitment, reach and retention of the OTL intervention at setting-level and individual-level are shown in the CONSORT-adapted flow diagram (Fig. 2). Seventy-six of 202 (37.6%) potentially eligible secondary schools responded with initial interest in the study. Thirty-six (of 76; 47.4%) schools enrolled in the OTL study completed the intervention (T1). Eleven of the 36 participating schools completed the follow-up session (T2) resulting in a retention rate of 30.6%. A total of 10,315 potentially eligible young people logged onto the OTL intervention at T1. Whilst 3,369 young people logged onto the OTL review show at T2, resulting in a follow-up rate of 32.7%.
Some significant associations were observed between participants who were full responders compared to partial and non-responders, combined. Specifically, at T1 a greater proportion of full responders were female (X2 (2, N = 6659) = 8.17, p = 0.017) or from White ethnic backgrounds (X2 (3, N = 6362) = 18.65, p < 0.001). Whereas a higher proportion of partial- and non-responders included those who were male or from Black or Black British ethnic backgrounds. At T2, a greater proportion of full responders were from White ethnic backgrounds (X2 (3, N = 2460) = 16.84, p = 0.001). Whereas a greater proportion of partial or non-responders were from Black or Black British ethnic backgrounds. Differences between responders, and partial and non-responders are presented in Additional file 1: Table S4.
There were also significant associations between participants who were not matched (T1 only) compared to those who were matched (T1 and T2) on demographic measures collected at baseline (T1); specifically those who were matched were slightly younger in age (M = 13.42, SD = 1.11 versus M = 13.62, SD = 1.39, P < 0.01) and a greater proportion were female (X2 (2, N = 6659) = 84.76, p < 0.001) and from Asian or Asian British or Black or Black British backgrounds (X2 (3, N = 6362) = 58.92, p < 0.001). Whereas a greater proportion of those who were not matched identified as male or non-traditional and were from White ethnic backgrounds. Differences between matched and non-matched participants are presented in Additional file 1: Table S5.
Objective 3. Feasibility of study methods
The proportion of participant responses (and incomplete responses) for the baseline, post-intervention and follow-up survey measures are presented in Fig. 3. In a total sample size of 10,315 participants at T1, 28.9% of participant responses were incomplete (partial or non-responders) for demographic characteristics, 31.2% for mental health and well-being outcomes, and 48.7% for OTL evaluation items. In a total sample size of 3,369 participants at T2, 23% of participant responses were incomplete (partial or non-responders) for demographic characteristics, 28.4% for mental health outcomes, and 53% for OTL evaluation items.
Responses for mental health outcomes were removed at T1 (7.1%) for participants who completed the items after the intervention had taken place and at T2 (0.6%) for participants who completed the items after the review show had taken place. Whilst duplicate responses for mental health outcomes were observed at T1 (1.5%) and T2 (0.1%).
A total of 759 (22.5%) participants (out of 3,369 young people who logged onto the follow-up session at T2) were matched for responses at T1 and T2. Overall, 77.5% participants at T2 were not matched with T1 responses due to missing data on one or more of the matching criteria items.
Objective 4. Need for mental health intervention and feasibility of outcome measures
The need for the OTL intervention was supported by the large percentage of students reporting poor mental health and poor health behaviour at T1 (see Table 5; data was collected at baseline before the start of the OTL show). Specifically, almost 40% experienced anxiety (either all the time, most of the time, or more than half the time) and 20% experienced depression (either all the time, most of the time, or more than half the time). Using a cut-off of 9 for the perceived scale for our sample revealed that 31.5% experienced high levels of perceived stress (scores 7–9), and 50% experienced moderate perceived stress (scores 5–8) (quartile scores for this scale for our sample—25th: 5; 50th: 7; 75th: 9). In line with 37% reported struggling or experiencing critical levels of stress using our stress dial measure. In our sample there were also very high numbers of young people who experienced very low locus of control, for example almost 70% reporting that ‘People like me don’t have much of a chance in life’. In addition, large number of young people surveyed reported poor health-behaviours, with a high number reporting low levels of sleep (45% less than 7 h sleep) and very high levels of screen time use (33.2% more than 7 h/day).
Comparisons were made on mental health outcome measures for matched participants between T1 and T2 (shown in Additional file 1: Table S7). There were some significant differences found between T1 and T2; specifically, Wilcoxon signed-rank tests determined there was a statistically significant median decrease is stress levels as assessed by the stress dial (z = -5.19, P < 0.001) between T1 and T2. There was also a slight increase in anxiety (z = 2.03, P = 0.043) and depression (z = 3.26, P = 0.001) scores between T1 and T2; and a slight decrease in life satisfaction (z = -2.26, P = 0.024) scores. There were no statistically significant differences for well-being, perceived stress and locus of control from T1 to T2.
Acceptability, engagement, and demand
The results suggest high acceptability of the OTL intervention among young people and staff members, with a large proportion of participants finding the intervention engaging and reporting they would like to see another OTL show. Importantly, the proportion of young people who engaged with NHS commissioned digital health services, such as the Kooth online counselling service, in this study was found to be at similar levels to the proportion of young people presenting mental health disorders in previous research , adding further support for the need of the delivery of the OTL mental health intervention in secondary schools. Our findings show that OTL can effectively help schools provide mental health education and support for their students and help address schools statutory Safeguarding and PSHE obligations (Keeping Children Safe in Education (KCSIE, 2018) to identify concerns early and provide help for youth in this area (KCSIE1.4, 1.6). Moreover, OTL is in accordance with KCSIE framework that schools work with other services to promote the welfare of youth and protect them from harm (KCSIE 1.81) and addresses key elements of the Government’s COVID-19 Mental Health and Wellbeing recovery action plan (March 2021).
Our baseline mental health and well-being survey (T1) revealed high numbers of young people experiencing low levels of well-being, especially in their reported mental health levels relating to stress and anxiety. Using the stress dial over a third of young people reported they were struggling or experiencing critical levels of stress, which notably we found reduced to a quarter of the sample 4–6 weeks after the show (T2). The majority of young people also reported not getting enough sleep and very high levels of screen time, both of which have been shown to have an adverse impact on well-being [41, 49]. All the above was also accompanied with very low levels of internal locus of control. For example, a third of young people reported that “people like me don’t have much of a chance in life”, and three quarters of young people reported that “even if I did well at school I would have a hard time getting the right kind of job”. This is of particular concern, as there is strong evidence that low locus of control is associated with poor mental health [11, 40, 46]. Together, these findings illustrate the critical need for OTL mental health intervention to support young people in secondary schools.
Feedback from the staff members, who facilitated the delivery of OTL in class, also supported the high acceptability and importance of the OTL intervention for young people. Staff feedback confirmed the OTL intervention could be effectively delivered in classrooms as planned with the majority of staff members finding it easy to access the link to the intervention and the data collection tool, Slido. This is a positive finding with previous issues documented around intervention implementation related to teacher burden and/or lack of mental health training . This will be important for engaging schools and their staff members in the provision of the OTL intervention to young people in future research as the intervention does not require staff to have specific expertise or training in mental health.
Feasibility of implementing the intervention
The feasibility of implementing the OTL intervention at a setting-level indicated almost half of eligible schools completed the intervention at T1 which was slightly lower than other universal approaches with recruitment rates of between 67 and 88% . Further, a large proportion of secondary schools (69.4%) did not return to follow-up resulting in high attrition rates between T1 and T2. This finding is consistent with previous studies reporting high levels of attrition in universal school-based mental health interventions [19, 24] with some studies experiencing challenges with investment from schools in terms of participation and data collection at follow-up [19, 27, 43]. This could have, in part, been affected by the increased demands faced by schools during the pandemic which may have affected school capacity and engagement with the intervention. Both the recruitment and retention of schools between intervention and follow-up needs to be considered for a future randomised controlled trial (RCT) of OTL to explore ways to engage schools and the relevant staff members from the initial contact through to follow-up. For example, attending relevant school meeting networks or building connections with mental health and well-being personnel within the targeted schools.
The results show that it is possible to reach a large sample of young people from different academic year groups and to roll out the OTL intervention programme to secondary schools across the UK based on the large sample size recruited in this study. Thus, our study indicated that providing a live on-line 50-min interactive (by use of engaging with the digital data collection tool, Slido) broadcast of a previously filmed digital mental health intervention content during class is feasible for reaching the target population.
Differential attrition was found for participants who responded fully to the mental health outcomes compared to those who responded partially or not at all. Differences in demographic characteristics for the completion of key outcome measures need to be considered more fully in a future RCT of the OTL intervention to increase the likelihood of recruiting a representative sample from the participating schools. Future studies of the OTL intervention should consider oversampling for males and those from Black or Black British ethnic backgrounds. Similarly, differences were observed for participants who were not matched and those who were matched at T1 and T2, with those who are older, identify as male or non-traditional and those from White ethnic backgrounds less likely to be matched across timepoints. However, the differences observed between matched and non-matched participants need to be considered with caution as there was a much higher proportion of participants who attended follow-up (T2) than were able to be matched due to missing data for the specified matching criteria. Further, we were unable to determine whether those less likely to be matched at T1 and T2 was due to missing data for the matching criteria or whether certain groups were less likely to take part in the follow-up session.
Feasibility of study methods
In line with this, only a small proportion of participants were successfully matched between T1 and T2, suggesting the criteria employed to longitudinally track and match participants across timepoints should be adapted to better suit this population. We used the first two letters of the first name to match participant data at T1 and T2. However, large quantities of missing data and possible typing errors or misinterpretation for this item meant it was difficult to match participants for comparison on mental health outcomes at T1 and T2. This would be problematic in a larger-scale evaluation assessing the effectiveness of the intervention, hence future work should incorporate better unique identifiers, without compromising the anonymity of the young people taking part.
On inspection of the missing data observed in the current study, completion rates for the study measures varied with an increasing proportion of missing items observed as the intervention proceeded, with the highest proportion of missing data observed for the post-intervention and follow-up evaluation items. This finding is consistent with considerations around conducting research with children and young people and specifically related to the length and complexity of surveys disseminated to different ages groups . Missing data for the mental health and well-being outcome measures needs to be considered further to ensure primary outcome data can be successfully collected in a RCT of OTL if we are to assess the efficacy and effectiveness of the intervention. Collecting study data at the beginning of the session as we did in this study might reduce the likelihood of large amounts of missing data for primary outcome data and help to maximise data completeness whilst participants are more engaged. The majority of staff members adhered to the data collection procedure ensuring that the relevant surveys were provided and completed by students at the appropriate timepoints during the study.
Study strengths and limitations
This feasibility study had several strengths. We recruited a large sample of young people between the ages 11–18 years from secondary schools across London and Essex in the UK. The study was carried out in a real-life setting using existing resources and availability within the secondary school system. We used a broad range of outcome measures to explore different aspects of mental health and well-being. We used an interactive data collection tool to promote interaction and engagement during the intervention and to respond to the need to move away from traditional pen-to-paper methods of data collection with young people (Garrido et al. 2019). Finally, due to the pre-filmed nature of the OTL mental health intervention, all students received the same mental health intervention for the specified 50-min duration presented by the same young presenters.
The study has various limitations. The intervention was rolled out universally to young people at secondary school in the UK and we were unable to include a comparison or control group in this study. Assessing the limited efficacy of the intervention in this feasibility study cannot therefore be fully examined. Future research should include a comparison group matched on key demographic measures and randomly allocate participants to the intervention or control group. Further, we used 1-item questions to measure anxiety, depression, and life satisfaction intended to detect changes in outcomes between T1 and T2 which may be insufficient. We recommend that for more robust evaluation of the intervention, future studies should use validated outcome measures with clinical cut-offs so that the clinical significance of any changes can be assessed. For example, the Patient Health Questionnaire-9 (PHQ-9; Kroenke, Spitzer, & Williams, 2001) for depression, General Anxiety Disorder scale (GAD-7; Spitzer, Kroenke, Williams, & Löwe, 2006) for anxiety, and the Warwick-Edinburgh Mental Well-being scale (WEMWBS; Tennant et al., 2017) for well-being are extensively used in mental health research and may therefore be more appropriate. The length and complexity of surveys used with children and young people should, however, be considered. Previous research suggests that lengthy surveys and complex questions can impact response rates and attrition among children and young people (Borgers, Leeuw & Hox, 2000; Borgers, Sikkel & Hox, 2004).
In addition, the findings need to be considered in the light of the high attrition rate between T1 and T2. Only 30% of the schools where students received the OTL intervention at T1, were able to take part in our follow up review show at T2, where we collected outcome data. The high attrition resulting from this, may have resulted in a selection bias. Schools that did not take part in T2, may have been schools that were under additional pressure, as were students in these schools, which could have meant that the impact of OTL on the missing demographic may have been significantly different. As we cannot remove potential effects of section bias from this study, this limitation will be addressed in future a RCT study of OTL.
Overall, there was good evidence to suggest mental health interventions are needed considering the high levels of possible anxiety, depression and low internal locus of control reported among young people in this study. The OTL intervention, using a cognitive behavioural framework, worked on trying to break down the stigma around mental health and well-being and other potential barriers which may prevent young people from accessing mental health support and engaging in mental health-related conversations [20, 32]. Universally delivered mental health interventions, such as OTL, are therefore important for providing mental health education, preventive tools and access to mental health support . Further investigation on the OTL intervention in a RCT study would be key and would help to determine the efficacy and potential effectiveness of an interactive mental health intervention delivered to young people in secondary schools.
The present study included young people aged between 11 and 18 years, however young people in earlier years may have different needs, preferences and experiences compared with those in the latter years , this needs further investigation and co-creation with adolescents of different ages and/or developmental timepoints. In the future, it will also be important to investigate the reasons why some young people may not take part or are not fully engaged in this type of intervention . For instance, qualitative interview techniques or focus groups would further inform our understanding of the acceptability of the OTL intervention along with the study methods employed in this study. Qualitative information would help inform future iterations of the OTL intervention including the topic areas viewed as most important to young people. It is also important to note that there was also COVID-19-related content within the present intervention, however there will be less focus on pandemic related content in future iterations of OTL. A strength of the OTL intervention is that due to its dynamic method of delivery along with co-creation with young people, the content can be modified to respond to the emerging needs of young people. Co-development of mental health programmes is valuable to ensure that interventions are relevant, informed by the target users, and are effective . Hence, the OTL intervention is very adaptable and modifiable to different needs, preferences, and experiences and would benefit from additional evaluation. As such, following the provision of the initial OTL mental health intervention for this study, updated versions of OTL have been developed and delivered. For instance, it was found that the Woebot application may not be appropriate for this population  and is therefore no longer included in future iterations of the OTL mental health intervention.
This study provides strong feasibility, acceptability and need of OTL mental health intervention, and supports the rolling out of this intervention to young people as part of a preventive mental health strategy delivered in secondary schools. Some adaptations to the study methods and implementation of the intervention in schools were identified which will help inform future research on the OTL intervention, and based on the findings of this feasibility study, a larger RCT study is needed to further determine the effectiveness of the intervention.
Availability of data and materials
Dataset and materials can be accessed on the OSF (URL, to come).
Bech P. Measuring the dimension of psychological general well-being by the WHO-5. Quality Life Newsletter. 2004;23:15–6.
Blakemore S. Adolescence and mental health. The Lancet. 2019;393(10185):2030–1.
Calear AL, Christensen H. Systematic review of school-based prevention and early intervention programs for depression. J Adolesc. 2010;33(3):429–38.
Call KT, Riedel AA, Hein K, McLoyd V, Petersen A, Kipke M. Adolescent health and well-being in the twenty-first century: A global perspective. J Res Adolesc. 2002;12(1):69–98.
Cheung F, Lucas RE. Assessing the validity of single-item life satisfaction measures: Results from three large samples. Quality Life Res. 2014;23(10):2809–18.
Cohen S. Perceived stress in a probability sample of the united states. The social psychology of health (pp. 31–67). Thousand Oaks, CA, US: Sage Publications, Inc; 1988.
Department of Health. Future in mind: Promoting, protecting and improving our children and young people’s mental health and wellbeing. 2015. https://www.gov.uk/government/publications/improving-mental-health-services-for-young-people.
Fegert JM, Vitiello B, Plener PL, Clemens V. Challenges and burden of the coronavirus 2019 (COVID-19) pandemic for child and adolescent mental health: A narrative review to highlight clinical and research needs in the acute phase and the long return to normality. Child Adolesc Psychiatry Ment Health. 2020;14(1):1–11.
Gearing RE, Schwalbe CS, Dweck P, Berkowitz J. Investigating adherence promoters in evidence-based mental health interventions with children and adolescents. Community Ment Health J. 2012;48(1):63–70.
GOV.UK. Actions for schools during the coronavirus outbreak. 2020. https://www.gov.uk/government/publications/actions-for-schools-during-the-coronavirus-outbreak#full-publication-update-history.
Groth N, Schnyder N, Kaess M, Markovic A, Rietschel L, Moser S, Schmidt SJ. Coping as a mediator between locus of control, competence beliefs, and mental health: A systematic review and structural equation modelling meta-analysis. Behav Res Ther. 2019;121: 103442.
Huan VS, See YL, Ang RP, Har CW. The impact of adolescent concerns on their academic stress. Educ Rev. 2008;60(2):169–78.
Ito-Jaeger S, Perez Vallejos E, Curran T, Spors V, Long Y, Liguori A, Crawford P. Digital video interventions and mental health literacy among young people: A scoping review. J Ment Health. 2021;34:1–11.
Kessler RC, Amminger GP, Aguilar-Gaxiola S, Alonso J, Lee S, Üstün TB. Age of onset of mental disorders: A review of recent literature. Curr Opin Psychiatry. 2007;20(4):359–64.
Kessler RC, Avenevoli S, Costello EJ, Georgiades K, Green JG, Gruber MJ, Merikangas KR. Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the national comorbidity survey replication adolescent supplement. Arch Gen Psychiatry. 2012;69(4):372–80.
Lee J. Mental health effects of school closures during COVID-19. Lancet Child Adolescent Health. 2020;4(6):421.
Lessof C, Ross A, Brind R, Bell E, Newton S. Longitudinal study of young people in England cohort 2: Health and wellbeing at wave 2; 2016.
Loades ME, Chatburn E, Higson-Sweeney N, Reynolds S, Shafran R, Brigden A, Crawley E. Rapid systematic review: The impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19. J Am Acad Child Adolesc Psychiatry. 2020;59(11):1218-1239.e3.
Mackenzie K, Williams C. Universal, school-based interventions to promote mental and emotional well-being: What is being done in the UK and does it work? A systematic review. BMJ Open. 2018;8(9): e022560.
Marshall L, Wishart R, Dunatchik A, Smith N. Supporting mental health in schools and colleges. 2017.
Neil AL, Christensen H. Australian school-based prevention and early intervention programs for anxiety and depression: A systematic review. Med J Aust. 2007;186(6):305–8.
Newlove-Delgado T, McManus S, Sadler K, Thandi S, Vizard T, Cartwright C, Ford T. Child mental health in england before and during the COVID-19 lockdown. Lancet Psychiatry. 2021;8(5):353–4.
NHS Digital. Mental health of children and young people in england 2021 – wave 2 follow up to 2017. 2021. https://digital.nhs.uk/data-and-information/publications/statistical/mental-health-of-children-and-young-people-in-england/2021-follow-up-to-the-2017-survey/copyright
O’Connor CA, Dyson J, Cowdell F, Watson R. Do universal school-based mental health promotion programmes improve the mental health and emotional wellbeing of young people? A literature review. J Clin Nurs. 2018;27(3–4):e412–26.
Oliveira WA. Adolescents’ health in times of COVID-19: A scoping review. Cad Saude Publica. 2020;36(8): e00150020.
Orben A, Tomova L, Blakemore S. The effects of social deprivation on adolescent development and mental health. Lancet Child Adolesc Health. 2020;4(8):634–40.
O’Reilly M, Svirydzenka N, Adams S, Dogra N. Review of mental health promotion interventions in schools. Soc Psychiatry Psychiatr Epidemiol. 2018;53(7):647–62.
Oullivan K, Clark S, McGrane A, Rock N, Burke L, Boyle N, Marshall K. A qualitative study of child and adolescent mental health during the COVID-19 pandemic in ireland. Int J Environ Res Public Health. 2021;18(3):1062.
Panchal U, Salazar de Pablo G, Franco M, Moreno C, Parellada M, Arango C, Fusar-Poli P. The impact of COVID-19 lockdown on child and adolescent mental health: Systematic review. European Child Adolescent Psychiatry. 2021;23:1–27.
Pascoe MC, Hetrick SE, Parker AG. The impact of stress on students in secondary school and higher education. Int J Adolesc Youth. 2020;25(1):104–12.
Paus T, Keshavan M, Giedd JN. Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci. 2008;9(12):947–57.
Radez J, Reardon T, Creswell C, Lawrence PJ, Evdoka-Burton G, Waite P. Why do children and adolescents (not) seek and access professional help for their mental health problems? A systematic review of quantitative and qualitative studies. Eur Child Adolesc Psychiatry. 2021;30(2):183–211.
Ravens-Sieberer U, Kaman A, Erhart M, Devine J, Schlack R, Otto C. Impact of the COVID-19 pandemic on quality of life and mental health in children and adolescents in germany. Eur Child Adolesc Psychiatry. 2021;1:1–11.
Reinke WM, Stormont M, Herman K, Puri R. Mental health in schools: Teacher perceptions of needs, roles, and barriers article in school psychology quarterly. 2011.
Rothe J, Buse J, Uhlmann A, Bluschke A, Roessner V. Changes in emotions and worries during the covid-19 pandemic: An online-survey with children and adults with and without mental health conditions. Child Adolesc Psychiatry Ment Health. 2021;15(1):1–9.
Sawyer MG, Arney FM, Baghurst PA, Clark JJ, Graetz BW, Kosky RJ, Raphael B. The mental health of young people in australia: Key findings from the child and adolescent component of the national survey of mental health and well-being. Aust N Z J Psychiatry. 2001;35(6):806–14.
Scott SR, Rivera KM, Rushing E, Manczak EM, Rozek CS, Doom JR. “I hate this”: A qualitative analysis of adolescents’ self-reported challenges during the COVID-19 pandemic. J Adolesc Health. 2021;68(2):262–9.
Sebastian C, Burnett S, Blakemore S. Development of the self-concept during adolescence. Trends Cogn Sci. 2008;12(11):441–6.
Shaw C, Brady L, Davey C. Guidelines for research with children and young people. London: National Children’s Bureau Research Centre; 2011.
Shojaee M. Mental health components and locus of control. Doctoral dissertation, Mount Saint Vincent University; 2014.
Short MA, Booth SA, Omar O, Ostlundh L, Arora T. The relationship between sleep duration and mood in adolescents: A systematic review and meta-analysis. Sleep Med Rev. 2020;52: 101311.
Singh S, Roy D, Sinha K, Parveen S, Sharma G, Joshi G. Impact of COVID-19 and lockdown on mental health of children and adolescents: A narrative review with recommendations. Psychiatry Res. 2020;293: 113429.
Stallard P, Phillips R, Montgomery AA, Spears M, Anderson R, Taylor J, Millings A. A cluster randomised controlled trial to determine the clinical effectiveness and cost-effectiveness of classroom-based cognitive-behavioural therapy (CBT) in reducing symptoms of depression in high-risk adolescents. Health Technol Assessment (Winchester, England). 2013;17(47):vii.
Smetana JG, Villalobos M. Social cognitive development in adolescence; 2009.
Steinberg L. Cognitive and affective development in adolescence. Trends Cogn Sci. 2005;9(2):69–74.
Sullivan S, Yamasaki S, Ando S, Endo K, Kasai K, Culpin I, Nishida A. The association between locus of control and psychopathology: A cross-cohort comparison between a UK (avon longitudinal study of parents and children) and a japanese (tokyo teen cohort) cohort. Front Psychol. 2021;12: 600941.
Sweeney C, Potts C, Ennis E, Bond R, Mulvenna MD. Can chatbots help support a person’s mental health? perceptions and views from mental healthcare professionals and experts. ACM Trans Comput Healthcare. 2021;2(3):1–15.
Turon H, Carey M, Boyes A, Hobden B, Dilworth S, Sanson-Fisher R. Agreement between a single-item measure of anxiety and depression and the hospital anxiety and depression scale: A cross-sectional study. PLoS ONE. 2019;14(1): e0210111.
Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Prev Med Reports. 2018;12:271–83.
Wasil AR, Park SJ, Gillespie S, Shingleton R, Shinde S, Natu S, DeRubeis RJ. Harnessing single-session interventions to improve adolescent mental health and well-being in india: Development, adaptation, and pilot testing of online single-session interventions in indian secondary schools. Asian J Psychiatr. 2020;50: 101980.
West P, Sweeting H. Fifteen, female and stressed: Changing patterns of psychological distress over time. J Child Psychol Psychiatry. 2003;44(3):399–411.
Whitley J, Smith JD, Vaillancourt T, Neufeld J. Promoting mental health literacy among educators: A critical aspect of school-based prevention and intervention. Handbook of school-based mental health promotion (pp. 143–165) Springer; 2018.
World Health Organization. Wellbeing measures in primary health care/the depcare project. Wellbeing Measures in Primary Health Care/the DepCare Project: Report on a WHO Meeting: Stockholm, Sweden, 12–13 February 1998; 1998.
Ybrandt H. The relation between self-concept and social functioning in adolescence. J Adolesc. 2008;31(1):1–16.
Young Minds. Coronavirus: Impact on young people with mental health needs (survey two). 2020. https://www.youngminds.org.uk/media/355gyqcd/coronavirus-report-summer-2020-final.pdf
Zhang Y, Ma ZF. Impact of the COVID-19 pandemic on mental health and quality of life among local residents in liaoning province, china: a cross-sectional study. Int J Environ Res Public Health. 2020;17(7):2381.
Zhu N, Jiauang O, Lu HJ, Chang L. Debate: Facing uncertainty with(out) a sense of control - cultural influence on adolescents’ response to the COVID-19 pandemic. Child Adolesc Ment Health. 2020;25(3):173–4. https://doi.org/10.1111/camh.12408.
Thank you to our youth advisory groups, the schools and students that took part in the On The Level Show (OTL). And a very big thank you and acknowledgment to Reprezent’s OTL young presenters, Jordan Wilks, Annis Katrina Dal, Shemzy Raeburn, Jack Tricker, Bisola Otun, Shifa Maruthiyi, all instrumental in the development and delivery of the show.
This work was supported by the TRIUMPH Network (http://triumph.sphsu.gla.ac.uk) which is funded by the Cross-Disciplinary Mental Health Network Plus initiative supported by UKRI under grant ES/S004351/1; Essex Clinical Commissioning Groups for schools; North East Essex Clinical Commissioning Group for colleges grant pilot (Colchester); The Charities Aid Foundation.
Ethics approval and consent to participate
The study was reviewed and approved through the formal Research Ethics procedure at the University of Sheffield, Ethics Committee Department of Psychology (036380).
SC is CEO of Reprezent and CC is a Project manager at Reprezent, and OTL mental health intervention is a Reprezent product to be commissioned for delivery in secondary schools.
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Bisal, N., Gibson Miller, J., Cox, C. et al. Feasibility of a secondary school-based mental health intervention: Reprezents’ On The Level. Child Adolesc Psychiatry Ment Health 16, 98 (2022). https://doi.org/10.1186/s13034-022-00534-2
- Secondary schools
- Interactive digital mental health intervention
- Cognitive behavioural framework