Economic evaluation of Internet-based problem-solving guided self-help treatment in comparison with enhanced usual care for depressed outpatients waiting for face-to-face treatment: A randomized controlled trial

Digital Mental Health Interventions for Alleviating Depression and Anxiety During Psychotherapy Waiting Lists: Systematic Review

BACKGROUND

Depression and anxiety have become increasingly prevalent across the globe. The rising need for treatment and the lack of clinicians has resulted in prolonged waiting times for patients to receive their first session. Responding to this gap, digital mental health interventions (DMHIs) have been found effective in treating depression and anxiety and are potentially promising pretreatments for patients who are awaiting face-to-face psychotherapy. Nevertheless, whether digital interventions effectively alleviate symptoms for patients on waiting lists for face-to-face psychotherapy remains unclear.

OBJECTIVE

This review aimed to synthesize the effectiveness of DMHIs for relieving depression and anxiety symptoms of patients on waiting lists for face-to-face therapy. This review also investigated the features, perceived credibility, and usability of DMHIs during waiting times.

METHODS

In this systematic review, we searched PubMed, PsycINFO, Cochrane, and Web of Science for research studies investigating the effectiveness of DMHIs in reducing either depression or anxiety symptoms among individuals waiting for face-to-face psychotherapy. The search was conducted in June 2024, and we have included the studies that met the inclusion criteria and were published before June 6, 2024.

RESULTS

Of the 9267 unique records identified, 8 studies met the eligibility criteria and were included in the systematic review. Five studies were randomized controlled trials (RCTs), and 3 studies were not. Among the RCTs, we found that digital interventions reduced depression and anxiety symptoms, but the majority of interventions were not more effective compared to the control groups where participants simply waited or received a self-help book. For the non-RCTs, the interventions also reduced symptoms, but without control groups, the interpretation of the findings is limited. Finally, participants in the included studies perceived the digital interventions to be credible and useful, but high dropout rates raised concerns about treatment adherence.

CONCLUSIONS

Due to the lack of effective interventions among the reviewed studies, especially among the RCTs, our results suggest that waiting list DMHIs are not more effective compared to simply waiting or using a self-help book. However, more high-quality RCTs with larger sample sizes are warranted in order to draw a more robust conclusion. Additionally, as this review revealed concerns regarding the high dropout rate in digital interventions, future studies could perhaps adopt more personalized and human-centered functions in interventions to increase user engagement, with the potential to increase treatment adherence and effectiveness.

Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review

BACKGROUND

New approaches to the treatment of depression are necessary for patients who do not respond to current treatments or lack access to them because of barriers such as cost, stigma, and provider shortage. Digital interventions for depression are promising; however, low patient engagement could limit their effectiveness.

OBJECTIVE

This systematic literature review (SLR) assessed how participant adherence to and engagement with digital interventions for depression have been measured in the published literature, what levels of adherence and engagement have been reported, and whether higher adherence and increased engagement are linked to increased efficacy.

METHODS

We focused on a participant population of adults (aged ≥18 years) with depression or major depressive disorder as the primary diagnosis and included clinical trials, feasibility studies, and pilot studies of digital interventions for treating depression, such as digital therapeutics. We screened 756 unique records from Ovid MEDLINE, Embase, and Cochrane published between January 1, 2000, and April 15, 2022; extracted data from and appraised the 94 studies meeting the inclusion criteria; and performed a primarily descriptive analysis. Otsuka Pharmaceutical Development & Commercialization, Inc (Princeton, New Jersey, United States) funded this study.

RESULTS

This SLR encompassed results from 20,111 participants in studies using 47 unique web-based interventions (an additional 10 web-based interventions were not described by name), 15 mobile app interventions, 5 app-based interventions that are also accessible via the web, and 1 CD-ROM. Adherence was most often measured as the percentage of participants who completed all available modules. Less than half (44.2%) of the participants completed all the modules; however, the average dose received was 60.7% of the available modules. Although engagement with digital interventions was measured differently in different studies, it was most commonly measured as the number of modules completed, the mean of which was 6.4 (means ranged from 1.0 to 19.7) modules. The mean amount of time participants engaged with the interventions was 3.9 (means ranged from 0.7 to 8.4) hours. Most studies of web-based (34/45, 76%) and app-based (8/9, 89%) interventions found that the intervention group had substantially greater improvement for at least 1 outcome than the control group (eg, care as usual, waitlist, or active control). Of the 14 studies that investigated the relationship between engagement and efficacy, 9 (64%) found that increased engagement with digital interventions was significantly associated with improved participant outcomes. The limitations of this SLR include publication bias, which may overstate engagement and efficacy, and low participant diversity, which reduces the generalizability.

CONCLUSIONS

Patient adherence to and engagement with digital interventions for depression have been reported in the literature using various metrics. Arriving at more standardized ways of reporting adherence and engagement would enable more effective comparisons across different digital interventions, studies, and populations.

Cost-effectiveness of Internet Interventions Compared With Treatment as Usual for People With Mental Disorders: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

The economic costs of mental disorders for society are huge. Internet-based interventions are often coined as cost-effective alternatives to usual care, but the evidence is mixed.

OBJECTIVE

The aim was to review the literature on the cost-effectiveness of internet interventions for mental disorders compared with usual care and to provide an estimate of the monetary benefits of such interventions compared with usual care.

METHODS

A systematic review and meta-analysis of randomized controlled trials was conducted, which included participants with symptoms of mental disorders; investigated a telephone- or internet-based intervention; included a control condition in the form of treatment as usual, psychological placebo, waiting list control, or bibliotherapy; reported outcomes on both quality of life and costs; and included articles published in English. Electronic databases such as PubMed (including MEDLINE), Embase, Emcare, PsycINFO, Web of Science, and the Cochrane Library were used. Data on risk of bias, quality of the economic evaluation, quality-adjusted life years, and costs were extracted from the included studies, and the incremental net benefit was calculated and pooled.

RESULTS

The search yielded 6226 abstracts, and 37 studies with 14,946 participants were included. The quality of economic evaluations of the included studies was rated as moderate, and the risk of bias was high. A random-effects approach was maintained. Analyses suggested internet interventions were slightly more effective than usual care in terms of quality-adjusted life years gain (Hedges g=0.052, 95% CI 0.010-0.094; P=.02) and equally expensive (Hedges g=0.002, 95% CI -0.080 to 0.84; P=.96). The pooled incremental net benefit was US $255 (95% CI US $91 to US $419; P=.002), favoring internet interventions over usual care. The perspective of the economic evaluation and targeted mental disorder moderated the results.

CONCLUSIONS

The findings indicate that the cost-effectiveness of internet interventions for mental disorders compared with a care-as-usual approach is likely, but generalizability to new studies is poor given the substantial heterogeneity. This is the first study in the field of mental health to pool cost-effectiveness outcomes in an aggregate data meta-analysis.

TRIAL REGISTRATION

PROSPERO CRD42019141659; https://tinyurl.com/3cu99b34.

The association between internet use and depression among older adults in China: The mediating role of social networks

Objective

In the aging world, the depression of older adults has aroused great concern. It brings detrimental side effects to old adults and the sustainability of society. The information and communication technologies have reshaped how people live among which the Internet has gained much popularity in the senior community. This study aims to explore the association between Internet use and depression in older adults.

Methods

This study applied a representative national dataset (China Longitudinal Aging Social Survey, CLASS 2018) to examine by conducting regression analysis. Inspired by the social capital theory, we further examined the mediating role of general social networks (as a general concept) and specific networks (family and friend networks) in reducing depression. All calculations and analyses were conducted by STATA.

Results

(a) Internet use significantly reduces depressive symptoms among Chinese older adults; (b) internet use enhances social network support for Chinese older adults; and (c) social networks in general and family networks and friend networks in specific all play a mediating role between internet use and depression symptoms.

Conclusion

This work proved that internet use could reduce depression levels in older adults in China, and social networks, including family networks and friend networks, have a mediation role in the relationship between internet use and depression in older adults in China. Combined with the Chinese social context, we explained that the existence of an empty-nest elderly community in Chinese society and the emphasis on kinship in Chinese tradition may be the reasons. Based on the main findings, tailor-made suggestions for addressing depression issues among older adults were discussed.

Digital interventions in mental health: evidence syntheses and economic modelling

BACKGROUND

Economic evaluations provide evidence on whether or not digital interventions offer value for money, based on their costs and outcomes relative to the costs and outcomes of alternatives.

OBJECTIVES

(1) Evaluate and summarise published economic studies about digital interventions across different technologies, therapies, comparators and mental health conditions; (2) synthesise clinical evidence about digital interventions for an exemplar mental health condition; (3) construct an economic model for the same exemplar mental health condition using the previously synthesised clinical evidence; and (4) consult with stakeholders about how they understand and assess the value of digital interventions.

METHODS

We completed four work packages: (1) a systematic review and quality assessment of economic studies about digital interventions; (2) a systematic review and network meta-analysis of randomised controlled trials on digital interventions for generalised anxiety disorder; (3) an economic model and value-of-information analysis on digital interventions for generalised anxiety disorder; and (4) a series of knowledge exchange face-to-face and digital seminars with stakeholders.

RESULTS

In work package 1, we reviewed 76 economic evaluations: 11 economic models and 65 within-trial analyses. Although the results of the studies are not directly comparable because they used different methods, the overall picture suggests that digital interventions are likely to be cost-effective, compared with no intervention and non-therapeutic controls, whereas the value of digital interventions compared with face-to-face therapy or printed manuals is unclear. In work package 2, we carried out two network meta-analyses of 20 randomised controlled trials of digital interventions for generalised anxiety disorder with a total of 2350 participants. The results were used to inform our economic model, but when considered on their own they were inconclusive because of the very wide confidence intervals. In work package 3, our decision-analytic model found that digital interventions for generalised anxiety disorder were associated with lower net monetary benefit than medication and face-to-face therapy, but greater net monetary benefit than non-therapeutic controls and no intervention. Value for money was driven by clinical outcomes rather than by intervention costs, and a value-of-information analysis suggested that uncertainty in the treatment effect had the greatest value (£12.9B). In work package 4, stakeholders identified several areas of benefits and costs of digital interventions that are important to them, including safety, sustainability and reducing waiting times. Four factors may influence their decisions to use digital interventions, other than costs and outcomes: increasing patient choice, reaching underserved populations, enabling continuous care and accepting the 'inevitability of going digital'.

LIMITATIONS

There was substantial uncertainty around effect estimates of digital interventions compared with alternatives. This uncertainty was driven by the small number of studies informing most comparisons, the small samples in some of these studies and the studies' high risk of bias.

CONCLUSIONS

Digital interventions may offer good value for money as an alternative to 'doing nothing' or 'doing something non-therapeutic' (e.g. monitoring or having a general discussion), but their added value compared with medication, face-to-face therapy and printed manuals is uncertain. Clinical outcomes rather than intervention costs drive 'value for money'.

FUTURE WORK

There is a need to develop digital interventions that are more effective, rather than just cheaper, than their alternatives.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42018105837.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 1. See the NIHR Journals Library website for further project information.

Effectiveness of a Guided Web-Based Intervention to Reduce Depressive Symptoms before Outpatient Psychotherapy: A Pragmatic Randomized Controlled Trial

INTRODUCTION

Psychotherapy is a first-line treatment for depression. However, capacities are limited, leading to long waiting times for outpatient psychotherapy in health care systems. Web-based interventions (WBI) could help to bridge this treatment gap.

OBJECTIVE

This study investigates the effectiveness of a guided cognitive-behavioral WBI in depressive patients seeking face-to-face psychotherapy.

METHODS

A 2-arm randomized controlled trial was conducted. Depressive patients (n = 136) recruited from the waiting lists of outpatient clinics were randomly assigned to an intervention group (IG; treatment as usual [TAU] + immediate access to WBI) or a control group (CG; TAU + access to WBI after follow-up). Depressive symptoms and secondary outcomes were assessed at baseline, 7 weeks, and 5 months after randomization.

RESULTS

Mixed-model analyses revealed a significant group × time interaction effect on depressive symptoms (F2, 121.5 = 3.91; p < 0.05). Between-group effect sizes were d = 0.55 at 7 weeks and d = 0.52 at 5 months. The IG was superior regarding psychological symptoms and mental health quality of life but not on physical health quality of life, attitudes, motivation for psychotherapy, or subjective need and uptake of psychotherapy.

CONCLUSIONS

Patients waiting for face-to-face psychotherapy can benefit from a WBI when compared to TAU. Despite the reduction of depressive symptoms in the IG, the uptake of subsequent psychotherapy was still high in both groups. The effects remained stable at the 5-month follow-up. However, this study could not determine the proportion of specific intervention effects vs. nonspecific effects, such as positive outcome expectations or attention. Future research should focus on the long-term effects and cost-effectiveness of WBI before psychotherapy.

Guided Internet-Based Cognitive Behavioral Therapy for Depression: Implementation Cost-Effectiveness Study

Background

Major depressive disorder is a chronic condition; its prevalence is expected to grow with the aging trend of high-income countries. Internet-based cognitive-behavioral therapy has proven efficacy in treating major depressive disorder.

Objective

The objective of this study was to assess the cost-effectiveness of implementing a community internet-based cognitive behavioral therapy intervention (Super@, the Spanish program for the MasterMind project) for treating major depressive disorder.

Methods

The cost-effectiveness of the Super@ program was assessed with the Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing tool, using a 3-state Markov model. Data from the cost and effectiveness of the intervention were prospectively collected from the implementation of the program by a health care provider in Badalona, Spain; the corresponding data for usual care were gathered from the literature. The health states, transition probabilities, and utilities were computed using Patient Health Questionnaire–9 scores.

Results

The analysis was performed using data from 229 participants using the Super@ program. Results showed that the intervention was more costly than usual care; the discounted (3%) and nondiscounted incremental cost-effectiveness ratios were €29,367 and €26,484 per quality-adjusted life-year, respectively (approximately US $35,299 and $31,833, respectively). The intervention was cost-effective based on the €30,000 willingness-to-pay threshold typically applied in Spain (equivalent to approximately $36,060). According to the deterministic sensitivity analyses, the potential reduction of costs associated with intervention scale-up would reduce the incremental cost-effectiveness ratio of the intervention, although it remained more costly than usual care. A discount in the incremental effects up to 5% exceeded the willingness-to-pay threshold of €30,000.

Conclusions

The Super@ program, an internet-based cognitive behavioral therapy intervention for treating major depressive disorder, cost more than treatment as usual. Nevertheless, its implementation in Spain would be cost-effective from health care and societal perspectives, given the willingness-to-pay threshold of €30,000 compared with treatment as usual.

Economic Evaluations of Internet-Based Psychological Interventions for Anxiety Disorders and Depression: A Systematic Review

BACKGROUND

Internet-based interventions show clinical effectiveness for treating anxiety disorders and depression and could make mental healthcare more affordable.

METHODS

We searched databases including PubMed; EMBASE; Cochrane Central; PsychINFO; CINAHL; EconLit; and Web of Science from January 1, 2000 to August 21, 2020. Inclusion criteria were: 1) pertained to the treatment or prevention of anxiety disorders or depression; 2) evaluated the use of an internet-delivered psychological intervention; 3) recruited participants; and 4) reported costs or cost-effectiveness.

RESULTS

Of the 6,069 articles identified, 33 targeted anxiety (N=13) and depression (n=20) and met final inclusion criteria. All studies were from high-income countries. The control conditions and cost components included were heterogeneous. Only eight studies reported costs of developing the intervention. Of 27 studies that made a conclusion about cost-effectiveness, 81% of interventions were cost-effective. The quality of studies included was high based on a quality assessment checklist of economic evaluations, although many studies did not include definitions of cost components or differentiate between patient-side and system-level costs.

LIMITATIONS

Studies varied in methodology, making conclusions about cost-effectiveness difficult. The generalizability of these results is unclear as studies were clustered in a small number of high-income countries and costs vary over time and between regions.

CONCLUSIONS

Internet-delivered interventions appeared to be cost-effective although control conditions and cost component reporting were variable. We propose a checklist of cost components for future cost analyses to better compare intervention costs. More research is needed to describe development costs, cost-effectiveness in low-resource settings, and cost-effectiveness of newer technologies.

Considering the societal perspective in economic evaluations: a systematic review in the case of depression

BACKGROUND

Depressive disorders are associated with a high burden of disease. However, due to the burden posed by the disease on not only the sufferers, but also on their relatives, there is an ongoing debate about which costs to include and, hence, which perspective should be applied. Therefore, the aim of this paper was to examine whether the change between healthcare payer and societal perspective leads to different conclusions of cost-utility analyses in the case of depression.

METHODS

A systematic literature search was conducted to identify economic evaluations of interventions in depression, launched on Medline and the Cost-Effectiveness Registry of the Tufts University using a ten-year time horizon (2008-2018). In a two-stepped screening process, cost-utility studies were selected by means of specified inclusion and exclusion criteria. Subsequently, relevant findings was extracted and, if not fully stated, calculated by the authors of this work.

RESULTS

Overall, 53 articles with 92 complete economic evaluations, reporting costs from healthcare payer/provider and societal perspective, were identified. More precisely, 22 estimations (24%) changed their results regarding the cost-effectiveness quadrant when the societal perspective was included. Furthermore, 5% of the ICURs resulted in cost-effectiveness regarding the chosen threshold (2% of them became dominant) when societal costs were included. However, another four estimations (4%) showed the opposite result: these interventions were no longer cost-effective after the inclusion of societal costs.

CONCLUSIONS

Summarising the disparities in results and applied methods, the results show that societal costs might alter the conclusions in cost-utility analyses. Hence, the relevance of the perspectives chosen should be taken into account when carrying out an economic evaluation. This systematic review demonstrates that the results of economic evaluations can be affected by different methods available for estimating non-healthcare costs.

Towards eHealth to support the health journey of headache patients: a scoping review

Objective

The aim of this study is to (1) review the digital health tools that have been used in headache studies, and (2) discuss the effectivity and reliability of these tools.

Background

Many headache patients travel a long and troublesome journey from first symptoms until a meaningful care plan. eHealth, mHealth, and digital therapeutic modalities have been advocated as the way forward to improve patient care.

Method

Online databases PubMed, Cinahl, and PsycINFO were searched using a predefined search query. A data extraction form was used to gather relevant data elements from the selected papers.

Results

A total of 39 studies were selected. The studies included 94,127 participants. The majority of studies focused on diaries (N = 27 out of 39). Digital (cognitive) behavioral therapy were also quite common (N = 7 out of 39). Other digital health tool categories were tele-consultations, telemonitoring and patient portals.

Conclusion

Many digital health tools for headache patients regarding diaries and behavioral/therapeutical treatment are described in scientific research with limited information on effectivity and reliability. Scientific knowledge with regard to other categories such as tele-consultations, patient portals, telemonitoring including medication adherence, online information resources, wearable, symptom checkers, digital peer support is still scarce or missing.

Preference for in-person psychotherapy versus digital psychotherapy options for depression: survey of adults in the U.S

Several barriers complicate access to psychotherapy for depression, including time commitment, location of services, and stigma. Digital treatment has the potential to address these barriers, yet long term use of digital psychotherapy is poor. This paper presents data from a mixed-methods, online survey to document concerns patients with depression face when given the choice of in-person psychotherapy and digital psychotherapy. Participants were 164 adults living in the United States who had previously used or considered psychotherapy for depression. Rural-dwelling and racial/ethnic minority (Native American, African American, and Spanish-speaking) respondents were purposively sampled. Participants were asked their preferences for and opinions about four treatment modalities: self-guided digital, peer-supported digital, expert-guided digital, or in-person psychotherapy. Less than half (44.5%) of participants preferred in-person psychotherapy, 25.6% preferred self-guided digital treatment, 19.7% preferred expert-guided digital treatment, and 8.5% peer-supported digital treatment. Principal themes extracted from qualitative analysis centered on the efficacy of digital treatment, access to digital treatment, concerns about peer-supported care, confidentiality and privacy concerns, preference for in-person treatment, skepticism about self-guided therapy, and the impact of social anxiety on the use of video-chat based care. Future development of digital psychotherapy will need to address concerns regarding efficacy, privacy, data security, and methods to enhance motivation to use these treatments.

A web-based self-management programme for people with type 2 diabetes: the HeLP-Diabetes research programme including RCT

Background

In the UK, 6% of the UK population have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Diabetes mellitus accounts for 10% of NHS expenditure (£14B annually). Good self-management may improve health outcomes. NHS policy is to refer all people with T2DM to structured education, on diagnosis, to improve their self-management skills, with annual reinforcement thereafter. However, uptake remains low (5.6% in 2014–15). Almost all structured education is group based, which may not suit people who work, who have family or other caring commitments or who simply do not like group-based formats. Moreover, patient needs vary with time and a single education session at diagnosis is unlikely to meet these evolving needs. A web-based programme may increase uptake.

Objectives

Our aim was to develop, evaluate and implement a web-based self-management programme for people with T2DM at any stage of their illness journey, with the goal of improving access to, and uptake of, self-management support, thereby improving health outcomes in a cost-effective manner. Specific objectives were to (1) develop an evidence-based theoretically informed programme that was acceptable to patients and health-care professionals (HCPs) and that could be readily implemented within routine NHS care, (2) determine the clinical effectiveness and cost-effectiveness of the programme compared with usual care and (3) determine how best to integrate the programme into routine care.

Design

There were five linked work packages (WPs). WP A determined patient requirements and WP B determined HCP requirements for the self-management programme. WP C developed and user-tested the Healthy Living for People with type 2 Diabetes (HeLP-Diabetes) programme. WP D was an individually randomised controlled trial in primary care with a health economic analysis. WP E used a mixed-methods and case-study design to study the potential for implementing the HeLP-Diabetes programme within routine NHS practice.

Setting

English primary care.

Participants

People with T2DM (WPs A, D and E) or HCPs caring for people with T2DM (WPs B, C and E).

Intervention

The HeLP-Diabetes programme; an evidence-based theoretically informed web-based self-management programme for people with T2DM at all stages of their illness journey, developed using participatory design principles.

Main outcome measures

WPs A and B provided data on user ‘wants and needs’, including factors that would improve the uptake and accessibility of the HeLP-Diabetes programme. The outcome for WP C was the HeLP-Diabetes programme itself. The trial (WP D) had two outcomes measures: glycated haemoglobin (HbA1c) level and diabetes mellitus-related distress, as measured with the Problem Areas in Diabetes (PAID) scale. The implementation outcomes (WP E) were the adoption and uptake at clinical commissioning group, general practice and patient levels and the identification of key barriers and facilitators.

Results

Data from WPs A and B supported our holistic approach and addressed all areas of self-management (medical, emotional and role management). HCPs voiced concerns about linkage with the electronic medical records (EMRs) and supporting patients to use the programme. The HeLP-Diabetes programme was developed and user-tested in WP C. The trial (WP D) recruited to target (n = 374), achieved follow-up rates of over 80% and the intention-to-treat analysis showed that there was an additional improvement in HbA1c levels at 12 months in the intervention group [mean difference –0.24%, 95% confidence interval (CI) –0.44% to –0.049%]. There was no difference in overall PAID score levels (mean difference –1.5 points, 95% CI –3.9 to 0.9 points). The within-trial health economic analysis found that incremental costs were lower in the intervention group than in the control group (mean difference –£111, 95% CI –£384 to £136) and the quality-adjusted life-years (QALYs) were higher (mean difference 0.02 QALYs, 95% CI 0.000 to 0.044 QALYs), meaning that the HeLP-Diabetes programme group dominated the control group. In WP E, we found that the HeLP-Diabetes programme could be successfully implemented in primary care. General practices that supported people in registering for the HeLP-Diabetes programme had better uptake and registered patients from a wider demographic than those relying on patient self-registration. Some HCPs were reluctant to do this, as they did not see it as part of their professional role.

Limitations

We were unable to link the HeLP-Diabetes programme with the EMRs or to determine the effects of the HeLP-Diabetes programme on users in the implementation study.

Conclusions

The HeLP-Diabetes programme is an effective self-management support programme that is implementable in primary care.

Future work

The HeLP-Diabetes research team will explore the following in future work: research to determine how to improve patient uptake of self-management support; develop and evaluate a structured digital educational pathway for newly diagnosed people; develop and evaluate a digital T2DM prevention programme; and the national implementation of the HeLP-Diabetes programme.

Trial registration

Research Ethics Committee reference number 10/H0722/86 for WPs A–C; Research Ethics Committee reference number 12/LO/1571 and UK Clinical Research Network/National Institute for Health Research (NIHR) Portfolio 13563 for WP D; and Research Ethics Committee 13/EM/0033 for WP E. In addition, for WP D, the study was registered with the International Standard Randomised Controlled Trial Register as reference number ISRCTN02123133.

Funding details

This project was funded by the NIHR Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 6, No. 5. See the NIHR Journals Library website for further project information.

Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual-participant data meta-analysis

BACKGROUND

There is limited evidence on the cost effectiveness of Internet-based treatments for depression. The aim was to evaluate the cost effectiveness of guided Internet-based interventions for depression compared to controls.

METHODS

Individual-participant data from five randomized controlled trials (RCT), including 1,426 participants, were combined. Cost-effectiveness analyses were conducted at 8 weeks, 6 months, and 12 months follow-up.

RESULTS

The guided Internet-based interventions were more costly than the controls, but not statistically significant (12 months mean difference = €406, 95% CI: - 611 to 1,444). The mean differences in clinical effects were not statistically significant (12 months mean difference = 1.75, 95% CI: - .09 to 3.60 in Center for Epidemiologic Studies Depression Scale [CES-D] score, .06, 95% CI: - .02 to .13 in response rate, and .00, 95% CI: - .03 to .03 in quality-adjusted life-years [QALYs]). Cost-effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost effective compared to control for CES-D and response to treatment (e.g., at 12-month follow-up the probability of being cost effective was .95 at a ceiling ratio of 2,000 €/point of improvement in CES-D score). For QALYs, the intervention's probability of being cost effective compared to control was low at the commonly accepted willingness-to-pay threshold (e.g., at 12-month follow-up the probability was .29 and. 31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively).

CONCLUSIONS

Based on the present findings, guided Internet-based interventions for depression are not considered cost effective compared to controls. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet-based interventions also assessed cost effectiveness and were included in this individual-participant data meta-analysis.

Economic evaluations of internet- and mobile-based interventions for the treatment and prevention of depression: A systematic review

BACKGROUND

Internet- and mobile-based interventions (IMIs) targeting depression have been shown to be clinically effective and are considered a cost-effective complement to established interventions. The aim of this review was to provide an overview of the evidence for the cost-effectiveness of IMIs for the treatment and prevention of depression.

METHODS

A systematic database search was conducted (Medline, PsychInfo, CENTRAL, PSYNDEX, OHE HEED). Relevant articles were selected according to defined eligibility criteria. IMIs were classified as cost-effective if they were below a willingness-to-pay threshold (WTP) of €22,845 (£20,000) - €34,267 (£30,000) per additional quality-adjusted life year (QALY) according to the National Institute for Health and Clinical Excellence (NICE) standard. Study quality was assessed using the Consolidated Health Economic Evaluation Reporting Standard guidelines and the Cochrane Risk of Bias Tool.

RESULTS

Of 1538 studies, seven economic evaluations of IMIs for the treatment of major depression, four for the treatment of subthreshold/minor depression and one for the prevention of depression. In six studies, IMIs were classified as likely to be cost-effective with an incremental cost-utility ratio between €3088 and €22,609. All of these IMIs were guided. Overall quality of most economic evaluations was evaluated as good. All studies showed some risk of bias.

LIMITATIONS

The studies used different methodologies and showed some risk of bias. These aspects as well as the classification of cost-effectiveness according to the WTP proposed by NICE should be considered when interpreting the results.

CONCLUSIONS

Results indicate that guided IMIs for the treatment of (subthreshold) depression have the potential to be a cost-effective complement to established interventions, but more methodologically sound studies are needed.

Internet- and mobile-based depression interventions for people with diagnosed depression: A systematic review and meta-analysis

BACKGROUND

To summarize and critically evaluate the effectiveness of internet- and mobile-based interventions (IMIs) for depression in adults with a diagnosed depression.

METHODS

Preregistered systematic review of RCTs investigating internet- and mobile-based interventions (IMIs) targeting adults with diagnosed depression. IMIs had to be compared with waitlist, attention placebo, other IMIs or other (face-to-face) therapies. A comprehensive search of primary studies was conducted. Study selection and data extraction was done by two independent researchers. Primary outcome was symptom severity of depression. Furthermore, treatment response, depression remission, treatment adherence, anxiety and quality of life were investigated. Random-effects meta-analyses were conducted where possible, as well as pre-planned subgroup and sensitivity analyses.

RESULTS

Database search resulted in 4858 references, of which 19 studies were eligible for inclusion and provided data on 29 IMIs. IMIs showed beneficial effects on depression severity when compared to waitlist conditions at the end of treatment (pooled standardized mean difference (SMD) g = -0.90, 95% CI -1.07 to -0.73, n = 10). The comparison between different IMIs did not result in any superiority or inferiority. All IMIs reduced depression symptoms from pre- to post-treatment (within group SMD range -2.24; -0.64, n = 29) and from pre-treatment to follow-up assessments (SMD range -3.07; -0.93, n = 27).

CONCLUSION

IMIs significantly reduce depression symptoms in adults with diagnosed depression at the end of treatment and at follow-up assessments when compared to waitlist conditions. These findings argue for IMIs to be recommended in depression treatment guidelines.

Cognitive behavioral group therapy for patients with physical diseases and comorbid depressive or adjustment disorders on a waiting list for individual therapy: results from a randomized controlled trial

BACKGROUND

Depressive and adjustment disorders are highly prevalent in patients with physical diseases and are associated with poorer quality of life, increased morbidity and mortality, as well as higher healthcare costs. Access to mental health care holds strong importance for these patients, although waiting times for outpatient individual psychotherapy in Germany are often long. Attending an intervention while waiting for individual therapy could improve this problem. For this purpose, we developed an eight-session cognitive behavioral group therapy (STEpS) and tested its efficacy in a randomized controlled trial.

METHODS

Seventy-six patients with chronic physical diseases and comorbid depressive or adjustment disorders were randomized to either STEpS or a waiting list control group. The primary outcome was self-reported depression measured by the Hospital Anxiety and Depression Scale (HADS-D), while the secondary outcomes included global psychological distress and health-related quality of life. Data was assessed at baseline, post-treatment and 2-month follow-up and was analyzed based on intention-to-treat.

RESULTS

Compared to the control group, the STEpS group showed significantly less depression (d = 0.37; p = .009) and significantly higher quality of life (mental: d = 0.47; p = .030; physical: d = 0.70; p = .001) at post-treatment. The groups did not differ in global psychological distress. At 2-month follow-up, the STEpS group indicated significantly higher subjective physical health (d = 0.43; p = .046), but did not differ from the control group in the remaining outcomes.

CONCLUSIONS

STEpS proved effective in improving depression and health-related quality of life in the short term but did not reveal effects on mental outcomes at 2-month follow-up. Nonetheless, the implementation of STEpS as a waiting list intervention prior to individual therapy could help patients to handle long waiting periods in outpatient care.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00005140 (27 August 2013).

Blending Face-to-Face and Internet-Based Interventions for the Treatment of Mental Disorders in Adults: Systematic Review

Background

Many studies have provided evidence for the effectiveness of Internet-based stand-alone interventions for mental disorders. A newer form of intervention combines the strengths of face-to-face (f2f) and Internet approaches (blended interventions).

Objective

The aim of this review was to provide an overview of (1) the different formats of blended treatments for adults, (2) the stage of treatment in which these are applied, (3) their objective in combining face-to-face and Internet-based approaches, and (4) their effectiveness.

Methods

Studies on blended concepts were identified through systematic searches in the MEDLINE, PsycINFO, Cochrane, and PubMed databases. Keywords included terms indicating face-to-face interventions (“inpatient,” “outpatient,” “face-to-face,” or “residential treatment”), which were combined with terms indicating Internet treatment (“internet,” “online,” or “web”) and terms indicating mental disorders (“mental health,” “depression,” “anxiety,” or “substance abuse”). We focused on three of the most common mental disorders (depression, anxiety, and substance abuse).

Results

We identified 64 publications describing 44 studies, 27 of which were randomized controlled trials (RCTs). Results suggest that, compared with stand-alone face-to-face therapy, blended therapy may save clinician time, lead to lower dropout rates and greater abstinence rates of patients with substance abuse, or help maintain initially achieved changes within psychotherapy in the long-term effects of inpatient therapy. However, there is a lack of comparative outcome studies investigating the superiority of the outcomes of blended treatments in comparison with classic face-to-face or Internet-based treatments, as well as of studies identifying the optimal ratio of face-to-face and Internet sessions.

Conclusions

Several studies have shown that, for common mental health disorders, blended interventions are feasible and can be more effective compared with no treatment controls. However, more RCTs on effectiveness and cost-effectiveness of blended treatments, especially compared with nonblended treatments are necessary.

Adherence to a web-based pre-treatment for phobias in outpatient clinics

BACKGROUND

Non-adherence in Internet interventions is a persistent and multifaceted issue and potentially limits the applicability and effectiveness of these interventions. Factors that influence non-adherence are poorly understood, especially in outpatient samples with more complex symptoms.

OBJECTIVE

The current study is a secondary analysis of data from a randomised controlled trial that examined the cost-effectiveness of offering an Internet-based exposure treatment to phobic outpatients on a wait-list to receive face-to-face psychotherapy.

METHODS

We collected baseline demographic and clinical information, and adherence data of the Internet-based intervention and conducted regression analyses to predict non-adherence to the intervention.

RESULTS

The adherence to the intervention was low, with only 13.3% of 105 patients completing all five lessons of the intervention. The median number of exercises completed (out of a possible 8) was 3. In a multi-predictor model, a higher baseline score of anxiety (OR = 0.94, 95% CI 0.90-0.99) was a risk factor for low adherence. Higher age (OR = 1.05, 95% CI 1.00-1.09) was a protective factor against non-adherence. Participants who adhered to the intervention were more likely to complete post-test assessments, further biasing results. However, overall participant attrition was high. The results are based on a small subset of participants and should be interpreted with caution.

CONCLUSIONS

Poor baseline clinical status and age are factors to consider when deciding whether to offer an Internet-based intervention to outpatients. Low adherence among those patients might be related to intrinsic motivation and might even be lower in outpatient settings where participants expect to receive face-to-face treatment. It might be worthwhile to develop a concise instrument to assess intrinsic motivation and treatment expectations for using Internet-based interventions, and for the therapist to review the range of possible (Internet-based) intervention options to suit personal preferences and expectations.

TRIAL REGISTRATION

Netherlands Trial Register, NTR2233.