An Online Self-help Intervention for Prevention of Depression in Primary Care

Overview

Depression is a common condition and is the leading cause of disability worldwide. Preventing or delaying the onset of depression is an important way to reduce the burden of depression. Some research suggests online methods may be effective in preventing depression, but to date, few studies have looked at the application of these methods in the UK. This study aims to assess the effects of an online self-help intervention (Moodbuster) on preventing depression in a primary care population, who are experiencing mild-moderate symptoms of depression, but do not meet the threshold for diagnosis. A randomised control design with a six-month and nine-month follow up will be used to compare Moodbuster to a wait-listed control group. Then, a qualitative process evaluation will be used to understand the barriers and facilitators of implementing the intervention. Eligible participants in Greater Manchester (individuals with mild to moderate symptoms of depression, who do not have a diagnosis of major depressive disorder and have access to the internet) will take part in a 6-week online self-help programme, accompanied by three telephone calls with a trained researcher to support them in their use of the programme. Researchers will follow-up with participants six and nine months after starting the programme to measure depression, anxiety, quality of life, and use of services. The process evaluation will involve qualitative interviews with participants and focus groups with practitioners who referred individuals to the study. This study will assess the effects of Moodbuster on preventing depression and barriers and facilitators of implementing such an intervention in a UK primary care population. It is hypothesised that the intervention group will display reduced depression symptoms and incidence, reduced service use, and improved quality of life, and the intervention will be acceptable to a UK primary care population.

Depression is a common, often recurring, condition and the leading cause of disability worldwide. In the UK, the one-week prevalence of depression is estimated at 3.3%, and by 2026, the cost of depression to the UK economy is estimated to reach £12.15 billion in lost earnings and service use costs. There are two main strategies to reduce the burden of depression, treatment and prevention. Treatment for depression is, even with full coverage of services to all those who need it, not enough.to avert the total burden of disease. Indeed, whist treatment is crucial, even if all people with depression received evidence-based treatment, it is likely that only 35% of the burden (years lived with disabilities) would be averted. Prevention strategies are an integral part of reducing the burden of depression through fully preventing, or otherwise delaying, its onset. One way to improve the reach of prevention interventions and to deliver such approaches at scale is to offer interventions via digital technologies such as websites, computer programmes, or apps. This allows for a larger reach and it may help reach communities which are currently under-served by traditional mental health services. Whilst digital tools have been shown to be effective and acceptable in primary care for the treatment of depression, less research has been conducted on its effectiveness or barriers and facilitators to implementation for prevention. A 2017 meta-analysis identified ten trials on the effectiveness of digital interventions for the prevention of anxiety and depression. The review found promising evidence for the use of digital interventions for prevention, finding a small but positive effect on depression symptoms in the short-term (0.25, \[0.09-0.41\], p = 0.003). However, the majority of these studies were conducted outside of the UK, in Germany, Australia, USA, Japan, Norway, and the Netherlands. The trials also represented a mix of universal interventions, and indicated/selective efforts targeted to university students, older adults, and young adults. Of the two studies identified that were conducted in the UK, both had a short-term follow up, one of 6 weeks, and the other 12 weeks and did not include diagnostic outcome assessments. This suggests there is still more to learn about the application of digital technologies in the UK for the prevention of depression, and the medium to longer term effects of such interventions. Research questions: 1. Can an online self-help tool reduce depression symptoms and help support the prevention of depression? 2. What are the effects of Moodbuster on the development of depression, anxiety symptoms, quality of life, and service use, and are there any negative unintended effects? 3. What are the barriers and facilitators to implementing an online tool for prevention in primary care and community settings? Research hypothesis: It is hypothesised that the intervention group will display reduced depression symptoms and incidence, reduced service use, and improved quality of life, and the intervention will be acceptable to a UK primary care population. Recruitment: Participants will be recruited via three routes: 1. Direct referral from GPs in participating practices, who feel the study would be appropriate for their patients 2. Through a software tool (FARSITE) that allows for the secure searching of GP records for potential study participants at participating GP practices 3. Self-referral by individuals in response to recruitment campaign launched both in-print and online by the Mental Health Foundation (MHF). The final sample of participants accepted for the trial will be randomly allocated to either the intervention arm or the Treatment as Usual (TAU) arm by an independent statistician based at the University of Manchester. Intervention: Those assigned to the intervention will take part in a six-week online self-help programme called Moodbuster. Use of the programme will be supported by three telephone calls from a trained researcher at baseline, three weeks, and six weeks. The calls will serve to support participants with their use of Moodbuster and resolve any technical issues. Treatment as usual during the study period will involve participants carrying on as they ordinarily would and seeking support as and when they feel it is needed using the (clinical) resources and services available in their area. Those assigned to the TAU arm will receive the stand-alone online intervention for free after the nine-month study period and will have access for an additional 9 months. Data Collection: Baseline data will be collected via online questionnaires, and an interview. Participants in the intervention arm will be asked to complete a second set of online questionnaires upon completing the six-week self-help programme. This will involve the same set of online questionnaires completed at baseline with additional items related to acceptability of the self-help programme. Participants in both groups will be contacted again at six months and nine months for follow-up data collection, which will involve the same set of online questionnaires that were completed at baseline. At nine months, participants will also be asked to participate in a second diagnostic telephone interview with trained researchers. Sub-groups of participants taking part in the intervention arm of the study will be selected for inclusion in the qualitative process evaluation. The aim is to recruit 20-25 participants for interview. In depth semi-structured interviews will be conducted with participants one month after the end of the intervention. Participants will be asked questions related to barriers and facilitators encountered in the use of Moodbuster, the perceived impact of Moodbuster on their daily lives, and their motivations for taking part in the study. Interviews will last approximately 30 minutes and will be conducted by study team researchers over the phone. Additional focus groups will be conducted with primary care professionals involved in the recruitment and referral to the intervention. Purposive sampling will be used to select staff to reflect different areas of expertise. Focus groups will be conducted one month after the end of the intervention and will explore professionals' perspectives on the implementation of the intervention. This will include the perceived impact of the tool and barriers and facilitators to use. Sample size: Intervention For our design, which assesses baseline and two follow-up measurements, we anticipate an effect size of 0.30 at nine-month. This estimate is based on prior meta-analyses on depression prevention. An effect size of 0.30 indicates a sample size of N = 116 per arm, or N = 232 for the full trial. Accounting for 20% drop-out, we would require a sample size of N = 290 participants. This is based on the assumption that the correlation between baseline and follow-up is 0.5. Sub-Sample Size: Process evaluation For the qualitative component, we will aim to recruit up to 25 participants for interviews, and a further 15 professionals for focus groups. This number ensures sufficient data to answer the research questions and is achievable within the timescales of the project. It is consistent with previous research applying thematic analysis to interview data in mental health. The exact number of participants recruited will depend on the richness of the interview data and whether new themes continue to emerge. Recruitment and data collection will continue until collection of new data does not shed any further light on the issue under investigation and saturation has been reached.