e-CBT (myCompass), Antidepressant Medication, and Face-to-Face Psychological Treatment for Depression in Australia: A Cost-Effectiveness Comparison

The Cost-Effectiveness of Psychosocial Interventions Following Self-Harm in Australia

Background: Psychosocial interventions following self-harm in adults, in particular cognitive behavioral therapy (CBT), can be effective in lowering the risk of repeated self-harm. Aims: To evaluate the cost-effectiveness of CBT for reducing repeated self-harm in the Australian context. Method: The current study adopted the accessing cost-effectiveness (ACE) approach using return-on-investment (ROI) analysis. Uncertainty and sensitivity analyses (Sas) tested the robustness of the model outputs to changes in three assumptions: general practitioner referral pathway (SA1), private setting intervention delivery (SA2), and training costs (SA3). Results: The intervention produced cost savings of A$ 46M (95% UI -223.7 to 73.3) and A$ 18.3M (95% UI -86.2 to 24.6), subject to the effect of intervention lasting 2- or 1-year follow-up. The ROI ratio reduced to 5.22 in SA1 (95% UI -10.1 to 27.9), 2.5 in SA2 (95% UI -4.8 to 13.3), and 5.1 in SA3 (95% UI -9.8 to 27.8). Limitations: We assumed that the effectiveness would reduce 50% within 5 years in the base case, and we used Australian data and a partial social perspective. Conclusions: The current study demonstrated cost-effectiveness of CBT for adults who have self-harmed with the return-on-investment ratio of A$ 2.3 to $6.0 for every A$ 1 invested.

Psychological interventions for asthma in children and adolescents

BACKGROUND

Rates of asthma are high in children and adolescents, and young people with asthma generally report poorer health outcomes than those without asthma. Young people with asthma experience a range of challenges that may contribute to psychological distress. This is compounded by the social, psychological, and developmental challenges experienced by all people during this life stage. Psychological interventions (such as behavioural therapies or cognitive therapies) have the potential to reduce psychological distress and thus improve behavioural outcomes such as self-efficacy and medication adherence. In turn, this may reduce medical contacts and asthma attacks.

OBJECTIVES

To determine the efficacy of psychological interventions for modifying health and behavioural outcomes in children with asthma, compared with usual treatment, treatment with no psychological component, or no treatment.

SEARCH METHODS

We searched the Cochrane Airways Group Specialised Register (including CENTRAL, CRS, MEDLINE, Embase, PsycINFO, CINAHL EBSCO, AMED EBSCO), proceedings of major respiratory conferences, reference lists of included studies, and online clinical databases. The most recent search was conducted on 22 August 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) comparing psychological interventions of any duration with usual care, active controls, or a waiting-list control in male and female children and adolescents (aged five to 18 years) with asthma.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our primary outcomes were 1. symptoms of anxiety and depression, 2. medical contacts, and 3. asthma attacks. Our secondary outcomes were 1. self-reported asthma symptoms, 2. medication use, 3. quality of life, and 4. adverse events/side effects.

MAIN RESULTS

We included 24 studies (1639 participants) published between 1978 and 2021. Eleven studies were set in the USA, five in China, two in Sweden, three in Iran, and one each in the Netherlands, UK, and Germany. Participants' asthma severity ranged from mild to severe. Three studies included primary school-aged participants (five to 12 years), two included secondary school-aged participants (13 to 18 years), and 18 included both age groups, while one study was unclear on the age ranges. Durations of interventions ranged from three days to eight months. One intervention was conducted online and the rest were face-to-face. Meta-analysis was not possible due to clinical heterogeneity (interventions, populations, outcome tools and definitions, and length of follow-up). We tabulated and summarised the results narratively with reference to direction, magnitude, and certainty of effects. The certainty of the evidence was very low for all outcomes. A lack of information about scale metrics and minimal clinically important differences for the scales used to measure anxiety, depression, asthma symptoms, medication use, and quality of life made it difficult to judge clinical significance. Primary outcomes Four studies (327 participants) reported beneficial or mixed effects of psychological interventions versus controls for symptoms of anxiety, and one found little to no difference between groups (104 participants). Two studies (166 participants) that evaluated symptoms of depression both reported benefits of psychological interventions compared to controls. Three small studies (92 participants) reported a reduction in medical contacts, but two larger studies (544 participants) found little or no difference between groups in this outcome. Two studies (107 participants) found that the intervention had an important beneficial effect on number of asthma attacks, and one small study (22 participants) found little or no effect of the intervention for this outcome. Secondary outcomes Eleven studies (720 participants) assessed asthma symptoms; four (322 participants) reported beneficial effects of the intervention compared to control, five (257 participants) reported mixed or unclear findings, and two (131 participants) found little or no difference between groups. Eight studies (822 participants) reported a variety of medication use measures; six of these studies (670 participants) found a positive effect of the intervention versus control, and the other two (152 participants) found little or no difference between the groups. Across six studies (653 participants) reporting measures of quality of life, the largest three (522 participants) found little or no difference between the groups. Where findings were positive or mixed, there was evidence of selective reporting (2 studies, 131 participants). No studies provided data related to adverse effects.

AUTHORS' CONCLUSIONS

Most studies that reported symptoms of anxiety, depression, asthma attacks, asthma symptoms, and medication use found a positive effect of psychological interventions versus control on at least one measure. However, some findings were mixed, it was difficult to judge clinical significance, and the evidence for all outcomes is very uncertain due to clinical heterogeneity, small sample sizes, incomplete reporting, and risk of bias. There is limited evidence to suggest that psychological interventions can reduce the need for medical contact or improve quality of life, and no studies reported adverse events. It was not possible to identify components of effective interventions and distinguish these from interventions showing no evidence of an effect due to substantial heterogeneity. Future investigations of evidence-based psychological techniques should consider standardising outcomes to support cross-comparison and better inform patient and policymaker decision-making.

Mobile Behavioral Health Coaching as a Preventive Intervention for Occupational Public Health: Retrospective Longitudinal Study

BACKGROUND

Researchers have recently proposed that behavioral health coaching (BHC) is effective in promoting proactive care among employees. However, to qualify as a preventive workplace intervention, more research is needed to evaluate whether BHC can further elevate well-being among moderately mentally healthy employees.

OBJECTIVE

Using real-world data, this study evaluates the preliminary effectiveness of app-based BHC against a nonrandomized control group with open access to self-help tools in improving well-being (ie, mood levels and perceived stress). The study also explores the active ingredients of BHC and dose-response associations between the number of BHC sessions and well-being improvements.

METHODS

Employees residing across Asia-Pacific countries (N=1025; mean age 30.85, SD 6.97 y) who reported moderately positive mood and medium levels of perceived stress in their first week of using the mental health app Intellect were included in this study. Users who were given access by their organizations to Intellect's BHC services were assigned to the "Coaching" condition (512/1025, 49.95%; mean age 31.09, SD 6.87 y), whereas other employees remained as "Control" participants (513/1025, 50.05%; mean age 30.61, SD 7.06 y). To evaluate effectiveness, monthly scores from the validated mood and stress sliders were aggregated into a composite well-being score and further examined using repeated-measure conditional growth models. Postcoaching items on "Perceived Usefulness of the BHC session" and "Working Alliance with my Coach" were examined as active ingredients of BHC using 1-1-1 multilevel mediation models. Finally, 2-way repeated-measure mixed ANOVA models were conducted to examine dose-response effects on well-being improvements between groups (coaching and control) across time.

RESULTS

Growth curve analyses revealed significant time by group interaction effects for composite well-being, where "Coaching" users reported significantly greater improvements in well-being than "Control" participants across time (composite well-being: F1,391=6.12; ηp2=0.02; P=.01). Among "Coaching" participants, dependent-sample 2-tailed t tests revealed significant improvements in composite well-being from baseline to 11 months (t512=1.98; Cohen d=0.17; P=.049). Improvements in "Usefulness of the BHC session" (β=.078, 95% Cl .043-.118; P<.001) and "Working Alliance" (β=.070, 95% Cl .037-.107; P<.001) fully mediated within-level well-being enhancements over time. Comparing against baseline or first month scores, significant time by group interactions were observed between the second and sixth months, with the largest effect size observed at the fifth month mark (first month vs fifth month: F1,282=15.0; P<.001; ηp2=0.051).

CONCLUSIONS

We found preliminary evidence that BHC is an effective preventive workplace intervention. Mobile-based coaching may be a convenient, cost-effective, and scalable means for organizations and governments to boost public mental health.

The impact of COVID-19 pandemic on psychopathological symptoms in mothers and their school-age children before, during and after the COVID-19 pandemic peak

The COVID-19 pandemic had an impact on children's and caregivers' mental health. We investigated psychopathological symptoms in a group of non-at-risk and a group of at-risk mothers and their school-age children from the pre-pandemic period to the lockdown period and to the post-lockdown period. We used the SCL-90/R to assess mothers' psychological symptoms, the CBCL 1½-5, and the CBCL 6-18 for the perceived children's emotional-behavioral functioning. Analysis of variance was conducted to assess significant differences in the groups over the three assessment points. Linear regressions were run to investigate the effect of maternal psychological symptoms on their children's functioning. In the non-at-risk group, maternal psychopathological symptoms significantly varied during the pandemic. Children's Aggression scores decreased after the lockdown, while Depression scores significantly increased during lockdown and after. The mothers in the at- risk group presented overall decreasing scores over the three assessment points. Children's Aggression scores did not increase during lockdown. Depression scores did not show significant changes over the three assessment points. Overall, our results showed that mothers' psychopathological risk did not influence specific areas of children's emotional/behavioral functioning, but it had an effect on the general offspring psychological well-being.

Conceptual Invariance, Trajectories, and Outcome Associations of Working Alliance in Unguided and Guided Internet-Based Psychological Interventions: Secondary Analysis of a Randomized Controlled Trial

BACKGROUND

The role of working alliance remains unclear for many forms of internet-based interventions (IBIs), a set of effective psychotherapy alternatives that do not require synchronous interactions between patients and therapists.

OBJECTIVE

This study examined the conceptual invariance, trajectories, and outcome associations of working alliance across an unguided IBI and guided IBIs that incorporated clinician support through asynchronous text messaging or video messaging.

METHODS

Adults with high education attainment (n=145) with subclinical levels of anxiety, stress, or depressive symptoms were randomized to 1 of 3 treatment conditions for 7 weeks. All participants received treatments from MyCompass, an unguided IBI using cognitive behavior therapy. Participants in condition 2 and 3 received supplemental, asynchronous clinician support through text and video, respectively. Working alliance with the IBIs was measured weekly using select items from the 12-item version of the Agnew Relationship Measure. Symptom and functional outcomes were assessed at baseline, at the end of treatment, and 1-month follow-up.

RESULTS

Working alliance with the IBIs was conceptually invariant across the 3 conditions. Working alliance followed a quadratic pattern of change over time for all conditions and declined significantly only in the text-support condition. After controlling for baseline symptoms, higher baseline levels of working alliance predicted less depression and less functional impairment at follow-up, whereas faster increases in working alliance predicted less worry at the end of treatment and at follow-up, all of which only occurred in the video-support condition.

CONCLUSIONS

Working alliance with the IBIs was generally established in the initial sessions. Although working alliance is conceptually invariant across IBIs with or without clinician support, the associations between working alliance and treatment outcomes among IBIs may differ depending on clinician involvement and the modalities of support.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05122429; https://clinicaltrials.gov/ct2/show/NCT05122429.

Economic evaluation of the Target-D platform to match depression management to severity prognosis in primary care: A within-trial cost-utility analysis

Background

Target-D, a new person-centred e-health platform matching depression care to symptom severity prognosis (minimal/mild, moderate or severe) has demonstrated greater improvement in depressive symptoms than usual care plus attention control. The aim of this study was to evaluate the cost-effectiveness of Target-D compared to usual care from a health sector and partial societal perspective across 3-month and 12-month follow-up.

Methods and findings

A cost-utility analysis was conducted alongside the Target-D randomised controlled trial; which involved 1,868 participants attending 14 general practices in metropolitan Melbourne, Australia. Data on costs were collected using a resource use questionnaire administered concurrently with all other outcome measures at baseline, 3-month and 12-month follow-up. Intervention costs were assessed using financial records compiled during the trial. All costs were expressed in Australian dollars (A$) for the 2018–19 financial year. QALY outcomes were derived using the Assessment of Quality of Life-8D (AQoL-8D) questionnaire. On a per person basis, the Target-D intervention cost between $14 (minimal/mild prognostic group) and $676 (severe group). Health sector and societal costs were not significantly different between trial arms at both 3 and 12 months. Relative to a A$50,000 per QALY willingness-to-pay threshold, the probability of Target-D being cost-effective under a health sector perspective was 81% at 3 months and 96% at 12 months. From a societal perspective, the probability of cost-effectiveness was 30% at 3 months and 80% at 12 months.

Conclusions

Target-D is likely to represent good value for money for health care decision makers. Further evaluation of QALY outcomes should accompany any routine roll-out to assess comparability of results to those observed in the trial. This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12616000537459).

Preventing depression using a smartphone app: a randomized controlled trial

BACKGROUND

There is evidence that depression can be prevented; however, traditional approaches face significant scalability issues. Digital technologies provide a potential solution, although this has not been adequately tested. The aim of this study was to evaluate the effectiveness of a new smartphone app designed to reduce depression symptoms and subsequent incident depression amongst a large group of Australian workers.

METHODS

A randomized controlled trial was conducted with follow-up assessments at 5 weeks and 3 and 12 months post-baseline. Participants were employed Australians reporting no clinically significant depression. The intervention group (N = 1128) was allocated to use HeadGear, a smartphone app which included a 30-day behavioural activation and mindfulness intervention. The attention-control group (N = 1143) used an app which included a 30-day mood monitoring component. The primary outcome was the level of depressive symptomatology (PHQ-9) at 3-month follow-up. Analyses were conducted within an intention-to-treat framework using mixed modelling.

RESULTS

Those assigned to the HeadGear arm had fewer depressive symptoms over the course of the trial compared to those assigned to the control (F3,734.7 = 2.98, p = 0.031). Prevalence of depression over the 12-month period was 8.0% and 3.5% for controls and HeadGear recipients, respectively, with odds of depression caseness amongst the intervention group of 0.43 (p = 0.001, 95% CI 0.26-0.70).

CONCLUSIONS

This trial demonstrates that a smartphone app can reduce depression symptoms and potentially prevent incident depression caseness and such interventions may have a role in improving working population mental health. Some caution in interpretation is needed regarding the clinical significance due to small effect size and trial attrition.Trial Registration Australian and New Zealand Clinical Trials Registry (www.anzctr.org.au/) ACTRN12617000548336.

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.

Mental health assessment of Spanish healthcare workers during the SARS-CoV-2 pandemic. A cross-sectional study

INTRODUCTION

The SARS-CoV-2 outbreak is posing unprecedented care scenarios, increasing the psychological distress among healthcare workers while reducing the efficiency of health systems. This work evaluated the psychological impact of the Covid-19 pandemic on Spanish frontline healthcare workers of two tertiary hospitals.

MATERIAL AND METHODS

Healthcare workers were recruited from the medical units designated for the care of Covid-19 patients. The psychological assessment consisted of an individual, face-to-face session where gold-standard psychometric tests were administered to assess stress (VASS & PSS-10), anxiety (STAI), depression (PHQ-2) and posttraumatic stress disorder (PCL-5). Regression models were also fitted to identify predictors of psychological distress.

RESULTS

Overall, almost 13% of healthcare workers showed severe anxiety, while more than 26% had high levels of perceived stress. More than 23% presented severe posttraumatic stress symptoms, and another 13% had PHQ-2 scores equal to or above 3, compatible with Major Depressive Disorder (MDD) diagnosis, respectively. Women, stress-related medication, overworking, performing in Covid-19 wards, and substance abuse were risk factors for increased psychological distress. Instead, practising exercise reduced the burden.

CONCLUSION

This study outlines the severe psychological impact of the Covid-19 pandemic on Spanish frontline healthcare workers. The stress, depression and anxiety levels found were similar to those reported in similar works but much higher than in Wuhan healthcare workers. Knowledge of risk factors for increased psychological distress may help to develop comprehensive intervention strategies to prevent, control and reduce the mental health exacerbation of healthcare workers, thereby maintaining the effectiveness of health systems in critical scenarios.

Cost Effectiveness of Cognitive Behavioral Therapy for the Treatment of Subjective Tinnitus in Australia

OBJECTIVES

The aim of this study was to conduct an economic evaluation for the treatment of subjective tinnitus using different modalities of cognitive behavioral therapy (CBT) in Australia.

DESIGN

A decision tree model was used to conduct a cost-utility analysis for CBT to determine the cost effectiveness for tinnitus treatments, in terms of cost per responder and cost per quality-adjusted life-year (QALY), from a health system perspective using a 2-year time horizon. Meta-analysis was used to differentiate the levels of effectiveness between three delivery methods for CBT: individual face-to-face care (fCBT), group sessions (gCBT), and a supported internet program (iCBT). One-way sensitivity analysis and probabilistic sensitivity analysis (PSA) explored the uncertainty surrounding model inputs and outcomes. Results were presented as incremental cost-effectiveness ratios compared with no treatment, and as net monetary benefit at a $50,000 willingness-to-pay threshold.

RESULTS

Compared with no treatment, the incremental cost per responder was $700 for gCBT, $871 for iCBT, and $1380 for fCBT. The base case incremental cost-effectiveness ratio was $35,363 per QALY for fCBT, $17,935 per QALY for gCBT, and $22,321 per QALY for iCBT compared with no treatment, although there was substantial uncertainty around the QALY gain for responders. Net monetary benefit was $356 (fCBT), $555 (gCBT), and $487 (iCBT), indicating the treatments were cost effective compared with no treatment. One-way sensitivity analysis revealed the results were most sensitive to the probability of a positive response to treatment and treatment length. The PSA found the probability of being cost effective compared with no treatment for gCBT was 99.8%, iCBT 98.4%, and fCBT 71.5% at a willingness-to-pay of $50,000 per QALY, although QALY gain remained at a fixed value in the PSA.

CONCLUSIONS

CBT for tinnitus was likely to be cost effective compared with no treatment regardless of treatment modality, assuming they are not mutually exclusive. Of the interventions, gCBT was the lowest cost per responder and lowest cost per QALY. Internet CBT obtained comparable economic outcomes due to similar treatment effectiveness and cost. Group CBT and iCBT warrant greater adoption in clinical practice for the treatment of subjective tinnitus. Further research on preference-based utility measures for varying levels of tinnitus severity and the durability of treatment effect is required to enhance the quality of economic evaluation in this field.

Systematic Review and Critique of Methods for Economic Evaluation of Digital Mental Health Interventions

OBJECTIVES

Investment in digital interventions for mental health conditions is growing rapidly, offering the potential to elevate systems that are currently overstretched. Despite a growing literature on economic evaluation of digital mental health interventions (DMHIs), including several systematic reviews, there is no conclusive evidence regarding their cost-effectiveness. This paper reviews the methodology used to determine their cost-effectiveness and assesses whether this meets the requirements for decision-making. In doing so we consider the challenges specific to the economic evaluation of DMHIs, and identify where consensus and possible further research is warranted.

METHODS

A systematic review was conducted to identify all economic evaluations of DMHIs published between 1997 and December 2018. The searches included databases of published and unpublished research, reference lists and citations of all included studies, forward citations on all identified protocols and conference abstracts, and contacting authors researchers in the field. The identified studies were critiqued against a published set of requirements for decision-making in healthcare, identifying methodological challenges and areas where consensus is required.

RESULTS

The review identified 67 papers evaluating DMHIs. The majority of the evaluations were conducted alongside trials, failing to capture all relevant available evidence and comparators, and long-term impact of mental health disorders. The identified interventions are complex and heterogeneous. As a result, there are a number of challenges specific to their evaluation, including estimation of all costs and outcomes, conditional on analysis viewpoint, and identification of relevant comparators. A taxonomy for DMHIs may be required to inform what interventions can reasonably be pooled and compared.

CONCLUSIONS

This study represents the first attempt to understand the appropriateness of the methodologies used to evaluate the value for money of DMHIs, helping work towards consensus and methods' harmonisation on these complex interventions.

A Pilot Evaluation of a Smartphone Application for Workplace Depression

Interventions delivered via mobile apps show particular promise in tackling the burden of common mental disorders. Appropriately targeting these interventions to at-risk populations is critical to their success. This pilot study aimed to assess the usability, feasibility, acceptability, and preliminary effects of an app-based intervention designed to target depressive symptoms in a stressed working population. Anchored, a smartphone app including a 30-day program of mindfulness and cognitive and behavioural therapeutic components, was tested in a pre-post pilot study with participants recruited via social media advertisements. Eligible participants (N = 81) were Australian adults who were employed and reported elevated stress levels on a single-item screening measure. Follow-up assessment occurred 5 weeks after baseline. The primary outcome measure was change in depressive symptoms, with secondary outcomes measuring change in anxiety, wellbeing, stress, resilience, exercise, alcohol use, absenteeism, and work performance. User feedback and in-app data were analysed to assess engagement and intervention adherence. At follow-up, there were significant reductions in depressive symptoms (t₆₁ = 6.35; p < 0.001) and anxiety symptoms (t₆₀ = 7.35; p < 0.001), along with significantly reduced cases of likely new onset depression compared to baseline (24% vs. 6%, p = 0.012). Significant improvements were also seen in wellbeing (t₆₀ = -5.64; p < 0.001), resilience (t₆₀ = -3.89; p < 0.001), stress (t₆₁ = 11.18; p < 0.001), and alcohol use (t₆₀ = 3.40; p = 0.001). Participants reported no significant changes in work performance, absenteeism or exercise. There were satisfactory levels of app usability, feasibility, and acceptability. Most participants found the app easy to use (93.2%), understood the app content well (83.0%), and rated the app highly or very highly overall (72.9%). User feedback suggestions were predominantly focused on improving app navigation and user interface. This pilot study provides encouraging evidence that Anchored has potentially beneficial effects, and is usable, feasible, and acceptable as an app-based intervention for the working population experiencing elevated stress. Further testing of Anchored in a randomised controlled trial is required to investigate its efficacy as an intervention for workplace mental ill-health.

Digital Interventions for Screening and Treating Common Mental Disorders or Symptoms of Common Mental Illness in Adults: Systematic Review and Meta-analysis

BACKGROUND

Digital interventions targeting common mental disorders (CMDs) or symptoms of CMDs are growing rapidly and gaining popularity, probably in response to the increased prevalence of CMDs and better awareness of early help-seeking and self-care. However, no previous systematic reviews that focus on these novel interventions were found.

OBJECTIVE

This systematic review aims to scope entirely web-based interventions that provided screening and signposting for treatment, including self-management strategies, for people with CMDs or subthreshold symptoms. In addition, a meta-analysis was conducted to evaluate the effectiveness of these interventions for mental well-being and mental health outcomes.

METHODS

Ten electronic databases including MEDLINE, PsycINFO, and EMBASE were searched from January 1, 1999, to early April 2020. We included randomized controlled trials (RCTs) that evaluated a digital intervention (1) targeting adults with symptoms of CMDs, (2) providing both screening and signposting to other resources including self-care, and (3) delivered entirely through the internet. Intervention characteristics including target population, platform used, key design features, and outcome measure results were extracted and compared. Trial outcome results were included in a meta-analysis on the effectiveness of users' well-being and mental health outcomes. We also rated the meta-analysis results with the Grading of Recommendations, Assessment, Development, and Evaluations approach to establish the quality of the evidence.

RESULTS

The electronic searches yielded 21 papers describing 16 discrete digital interventions. These interventions were investigated in 19 unique trials including 1 (5%) health economic study. Most studies were conducted in Australia and North America. The targeted populations varied from the general population to allied health professionals. All interventions offered algorithm-driven screening with measures to assess symptom levels and to assign treatment options including automatic web-based psychoeducation, self-care strategies, and signposting to existing services. A meta-analysis of usable trial data showed that digital interventions improved well-being (3 randomized controlled trials [RCTs]; n=1307; standardized mean difference [SMD] 0.40; 95% CI 0.29 to 0.51; I2=28%; fixed effect), symptoms of mental illness (6 RCTs; n=992; SMD -0.29; 95% CI -0.49 to -0.09; I2=51%; random effects), and work and social functioning (3 RCTs; n=795; SMD -0.16; 95% CI -0.30 to -0.02; I2=0%; fixed effect) compared with waitlist or attention control. However, some follow-up data failed to show any sustained effects beyond the post intervention time point. Data on mechanisms of change and cost-effectiveness were also lacking, precluding further analysis.

CONCLUSIONS

Digital mental health interventions to assess and signpost people experiencing symptoms of CMDs appear to be acceptable to a sufficient number of people and appear to have enough evidence for effectiveness to warrant further study. We recommend that future studies incorporate economic analysis and process evaluation to assess the mechanisms of action and cost-effectiveness to aid scaling of the implementation.

Cost-effectiveness of guideline-based stepped and collaborative care versus treatment as usual for patients with depression - a cluster-randomized trial

BACKGROUND

Depression is associated with major patient burden. Its treatment requires complex and collaborative approaches. A stepped care model based on the German National Clinical Practice Guideline "Unipolar Depression" has been shown to be effective. In this study we assess the cost-effectiveness of this guideline based stepped care model versus treatment as usual in depression.

METHODS

This prospective cluster-randomized controlled trial included 737 depressive adult patients. Primary care practices were randomized to an intervention (IG) or a control group (CG). The intervention consisted of a four-level stepped care model. The CG received treatment as usual. A cost-utility analysis from the societal perspective with a time horizon of 12 months was performed. We used quality-adjusted life years (QALY) based on the EQ-5D-3L as effect measure. Resource utilization was assessed by patient questionnaires. Missing values were imputed by 'multiple imputation using chained equations' based on predictive mean matching. We calculated adjusted group differences in costs and effects as well as incremental cost-effectiveness ratios. To describe the statistical and decision uncertainty cost-effectiveness acceptability curves were constructed based on net-benefit regressions with bootstrapped standard errors (1000 replications). The complete sample and subgroups based on depression severity were considered.

RESULTS

We found no statically significant differences in costs and effects between IG and CG. The incremental total societal costs (+€5016; 95%-CI: [-€259;€10,290) and effects (+ 0.008 QALY; 95%-CI: [- 0.030; 0.046]) were higher in the IG in comparison to the CG. Significantly higher costs were found in the IG for outpatient physician services and psychiatrist services in comparison to the CG. Significantly higher total costs and productivity losses in the IG in comparison to the CG were found in the group with severe depression. Incremental cost-effectiveness ratios for the IG in comparison to the CG were unfavourable (complete sample: €627.000/QALY gained; mild depression: dominated; moderately severe depression: €645.154/QALY gained; severe depression: €2082,714/QALY gained) and the probability of cost-effectiveness of the intervention was low, except for the group with moderate depression (ICER: dominance; 70% for willingness-to-pay threshold of €50,000/QALY gained).

CONCLUSIONS

We found no evidence for cost-effectiveness of the intervention in comparison to treatment as usual.

TRIAL REGISTRATION

NCT, NCT01731717 . Registered 22 November 2012 - Retrospectively registered.

The immediate impact of the 2019 novel coronavirus (COVID-19) outbreak on subjective sleep status

Background

An outbreak of the 2019 novel coronavirus (COVID-19) has been ongoing in China since January 2020. The threat of infection affects the work and life of most of the population and may also damage sleep. This study aims to examine the subjective sleep status and mental health of the population during the peak of the COVID-19 epidemic.

Method

The data were collected through an online questionnaire with a sample of 5461 individuals in China from February 5, 2020, to February 23, 2020. Participants were divided into four groups based on their degree of threat from COVID-19: Group 1 was most closely associated with COVID-19, including inpatients diagnosed with COVID-19, first-line hospital workers and first-line management staff; Group 2 included outpatients diagnosed with COVID-19 and patients who developed a fever and visited the hospital; Group 3 included people related to Group 1 or 2, such as their colleagues, relatives, friends and rescuers; and Group 4 was the farthest removed from contact with COVID-19, covering the general public affected by COVID-19 prevention strategies. The Insomnia Severity Index (ISI), Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7) and Acute Stress Disorder Scale (ASDS) were used.

Results

Threat degree of COVID-19 (groups) had significant correlations with insomnia, depression, anxiety, and stress (p < 0.05, p < 0.01). Age, gender, and area (Hubei province or other provinces) had significant correlations with insomnia (p < 0.01). A total of 1380 (24.46%) participants were suspected of having major depression based on the PHQ-9. Additionally, 1042 (18.47%) participants were suspected of having generalized anxiety disorder based on the GAD-7. A total of 892 (15.8%) of the participants had Acute Stress Disorder (ASD) according to the ASDS. The prevalence of clinical insomnia during the outbreak was 20.05% (1131) according to the ISI. The factors of satisfaction with the current sleep pattern and how perceptible the symptoms of the current sleep pattern are to other people (p < 0.05) and the middle (difficulty staying asleep) and terminal (waking up too early) (p < 0.01) factors of the ISI were significantly different across groups. A total of 1129 (20.01%) participants spent more than one hour awake in bed.

Conclusion

The results indicated that insomnia is more severe in people who are female, young, living in the epicenter and experiencing a high degree of threat from COVID-19. As prevention and treatment efforts continue with regard to COVID-19, the general public has developed poor sleep hygiene habits, which deserve attention.

Improving Cost-effectiveness and Access to Cognitive Behavior Therapy for Depression: Providing Remote-Ready, Computer-Assisted Psychotherapy in Times of Crisis and Beyond

INTRODUCTION

There is growing evidence that computer-delivered or computer-assisted forms of cognitive behavior therapy (CCBT) are helpful, but cost-effectiveness versus standard therapies is not well established.

OBJECTIVE

To evaluate the cost-effectiveness of a therapist-supported method for CCBT in comparison to standard cognitive behavior therapy (CBT).

METHODS

A total of 154 drug-free major depressive disorder outpatients were randomly assigned to either 16 weeks of standard CBT (up to twenty 50-min sessions) or CCBT using the Good Days Ahead program (including up to 5.5 h of therapist contact). Outcomes were assessed at baseline, weeks 8 and 16, and at 3 and 6 months post-treatment. Economic analyses took into account the costs of services received and work/social role impairment.

RESULTS

In the context of almost identical efficacy, a form of CCBT that used only about one third the amount of therapist contact as conventional CBT was highly cost-effective compared to conventional therapy and reduced the adjusted cost of treatment by USD 945 per patient.

CONCLUSIONS

A method of CCBT that blended internet-delivered modules and abbreviated therapeutic contact reduced the cost of treatment substantially without adversely affecting outcomes. Results suggest that use of this approach can more than double the access to CBT. Because clinician support in CCBT can be provided by telephone, videoconference, and/or email, this highly efficient form of treatment could be a major advance in remote treatment delivery.

Using Intensive Longitudinal Data to Study Treatment Effects in Patients with Major Depression: A Systematic Review

Depression is a disabling condition, causing suffering worldwide. The purpose of this paper is to review studies that have used Intensive Longitudinal Data (ILD) in research on depression treatment. Intensive longitudinal data in the form of daily diaries, experience sampling method (ESM), and ecological momentary assessment (EMA) are increasingly used in psychotherapy research to gather individualized data. A systematic search was conducted in the research databases PsycINFO, PubMed and Scopus on depression treatment assessed with ILD methods. Seven studies met inclusion criteria; two focused on the effects of cognitive therapy/cognitive behavioral therapy (CBT)/Self-System Therapy (SST); one focused on the effects of physical exercise; and four examined ESM as an add-on intervention to pharmacological treatment. ILD is useful when studying changes in complex patterns of patients’ functioning, such as daily affective reactivity, empowerment, daily dose-response effects of physical activity on PA, and associations between activity and depressive symptoms. Results also showed that ESM registration in itself can help patients with major depression (MDD) to engage more in physical and social activities and to spend less time alone or resting.

Evidence available for patient-identified priorities in depression research: results of 11 rapid responses

OBJECTIVES

Patient priority setting projects (PPSPs) can reduce research agenda bias. A key element of PPSPs is a review of available literature to determine if the proposed research priorities have been addressed, identify research gaps, recognise opportunities for knowledge translation (KT) and avoid duplication of research efforts. We conducted rapid responses for 11 patient-identified priorities in depression to provide a map of the existing evidence.

DESIGN

Eleven rapid responses.

DATA SOURCES

Single electronic database (PubMed).

ELIGIBILITY CRITERIA

Each rapid response had unique eligibility criteria. For study designs, we used a stepwise inclusion process that started with systematic reviews (SRs) if available, then randomised controlled trials and observational studies as necessary.

RESULTS

For all but one of the rapid responses we identified existing SRs (median 7 SRs per rapid response, range 0-179). There were questions where extensive evidence exists (ie, hundreds of primary studies), yet uncertainties remain. For example, there is evidence supporting the effectiveness of many non-pharmacological interventions (including psychological interventions and exercise) to reduce depressive symptoms. However, targeted research is needed that addresses comparative effectiveness of promising interventions, specific populations of interest (eg, children, minority groups) and adverse effects.

CONCLUSIONS

We identified an extensive body of evidence addressing patient priorities in depression and mapped the results and limitations of existing evidence, areas of uncertainty and general directions for future research. This work can serve as a solid foundation to guide future research in depression and KT activities. Integrated knowledge syntheses bring value to the PPSP process; however, the role of knowledge synthesis in PPSPs and methodological approaches are not well defined at present.

Economic Evaluations of Stepped Models of Care for Depression and Anxiety and Associated Implementation Strategies: A Review of Empiric Studies

Since the mid-2000s stepped care, a model of integrated healthcare delivery, has been promoted for offering accessible, effective and efficient services for individuals with mental health conditions. However, adoption of the model has not been widespread warranting additional investment by way of implementation strategies to encourage uptake. These strategies also require funding and their value for money should be assessed to inform decision making and practice. We conducted a review to better understand the extent to which the cost-effectiveness of stepped care has been evaluated (review i) and also to investigate whether economic evaluation has been applied to implementation strategies of stepped care services for anxiety and depression in developed (high income) countries and to chart their methods and outcomes (review ii). The searches were conducted in six electronic databases, grey literature and relevant journals. The search strategies returned two papers for reviews (i) and a single paper for review (ii). Despite stepped care models of integrated mental health service provision being promoted as optimal, there is limited knowledge surrounding the real-world cost-effectiveness of their application and clearly a need for good quality economic evaluations of integrated care that comply with international guidelines of good practice. There is even less information pertaining to the cost-effectiveness and budget impact of strategies designed to increase the uptake of these models.

Internet-Delivered Cognitive Behavioural Therapy for Major Depression and Anxiety Disorders: A Health Technology Assessment

BACKGROUND

Major depression is defined as a period of depression lasting at least 2 weeks characterized by depressed mood, most of the day, nearly every day, and/or markedly diminished interest or pleasure in all, or almost all, activities. Anxiety disorders encompass a broad range of disorders in which people experience feelings of fear and excessive worry that interfere with normal day-to-day functioning.Cognitive behavioural therapy (CBT) is a form of evidence-based psychotherapy used to treat major depression and anxiety disorders. Internet-delivered CBT (iCBT) is structured, goal-oriented CBT delivered via the internet. It may be guided, in which the patient communicates with a regulated health care professional, or unguided, in which the patient is not supported by a regulated health care professional.

METHODS

We conducted a health technology assessment, which included an evaluation of clinical benefit, value for money, and patient preferences and values related to the use of iCBT for the treatment of mild to moderate major depression or anxiety disorders. We performed a systematic review of the clinical and economic literature and conducted a grey literature search. We reported Grading of Recommendations Assessment, Development, and Evaluation (GRADE) ratings if sufficient information was provided. When other quality assessment tools were used by the systematic review authors in the included studies, these were reported. We assessed the risk of bias within the included reviews. We also developed decision-analytic models to compare the costs and benefits of unguided iCBT, guided iCBT, face-to-face CBT, and usual care over 1 year using a sequential approach. We further explored the lifetime and short-term cost-effectiveness of stepped-care models, including iCBT, compared with usual care. We calculated incremental cost-effectiveness ratios (ICERs) from the perspective of the Ontario Ministry of Health and Long-Term Care and estimated the 5-year budget impact of publicly funding iCBT for mild to moderate major depression or anxiety disorders in Ontario. To contextualize the potential value of iCBT as a treatment option for major depression or anxiety disorders, we spoke with people with these conditions.

RESULTS

People who had undergone guided iCBT for mild to moderate major depression (standardized mean difference [SMD] = 0.83, 95% CI 0.59-1.07, GRADE moderate), generalized anxiety disorder (SMD = 0.84, 95% CI 0.45-1.23, GRADE low), panic disorder (small to very large effects, GRADE low), and social phobia (SMD = 0.85, 95% CI 0.66-1.05, GRADE moderate) showed a statistically significant improvement in symptoms compared with people on a waiting list. People who had undergone iCBT for panic disorder (SMD= 1.15, 95% CI: 0.94 to 1.37) and iCBT for social anxiety disorder (SMD=0.91, 95% CI: 0.74-1.07) showed a statistically significant improvement in symptoms compared with people on a waiting list. There was a statistically significant improvement in quality of life for people with generalized anxiety disorder who had undergone iCBT (SMD = 0.38, 95% CI 0.08-0.67) compared with people on a waiting list. The mean differences between people who had undergone iCBT compared with usual care at 3, 5, and 8 months were -4.3, -3.9, and -5.9, respectively. The negative mean difference at each follow-up showed an improvement in symptoms of depression for participants randomized to the iCBT group compared with usual care. People who had undergone guided iCBT showed no statistically significant improvement in symptoms of panic disorder compared with individual or group face-to-face CBT (d = 0.00, 95% CI -0.41 to 0.41, GRADE very low). Similarly, there was no statistically significant difference in symptoms of specific phobia in people who had undergone guided iCBT compared with brief therapist-led exposure (GRADE very low). There was a small statistically significant improvement in symptoms in favour of guided iCBT compared with group face-to-face CBT (d= 0.41, 95% CI 0.03-0.78, GRADE low) for social phobia. There was no statistically significant improvement in quality of life reported for people with panic disorder who had undergone iCBT compared with face-to-face CBT (SMD = -0.07, 95% CI -0.34 to 0.21).Guided iCBT was the optimal strategy in the reference case cost-utility analyses. For adults with mild to moderate major depression, guided iCBT was associated with increases in both quality-adjusted survival (0.04 quality-adjusted life-years [QALYs]) and cost ($1,257), yielding an ICER of $31,575 per QALY gained when compared with usual care. In adults with anxiety disorders, guided iCBT was also associated with increases in both quality-adjusted survival (0.03 QALYs) and cost ($1,395), yielding an ICER of $43,214 per QALY gained when compared with unguided iCBT. In this population, guided iCBT was associated with an ICER of $26,719 per QALY gained when compared with usual care. The probability of cost-effectiveness of guided iCBT for major depression and anxiety disorders, respectively, was 67% and 70% at willingness-to-pay of $100,000 per QALY gained. Guided iCBT delivered within stepped-care models appears to represent good value for money for the treatment of mild to moderate major depression and anxiety disorders.Assuming a 3% increase in access per year (from about 8,000 people in year 1 to about 32,000 people in year 5), the net budget impact of publicly funding guided iCBT for the treatment of mild to moderate major depression would range from about $10 million in year 1 to about $40 million in year 5. The corresponding net budget impact for the treatment of anxiety disorders would range from about $16 million in year 1 (about 13,000 people) to about $65 million in year 5 (about 52,000 people).People with depression or an anxiety disorder with whom we spoke reported that iCBT improves access for those who face challenges with face-to-face therapy because of costs, time, or the severity of their condition. They reported that iCBT provides better control over the pace, time, and location of therapy, as well as greater access to educational material. Some reported barriers to iCBT include the cost of therapy; the need for a computer and internet access, computer literacy, and the ability to understand complex written information. Language and disability barriers also exist. Reported limitations to iCBT include the ridigity of the program, the lack of face-to-face interactions with a therapist, technological difficulties, and the inability of an internet protocol to treat severe depression and some types of anxiety disorder.

CONCLUSIONS

Compared with waiting list, guided iCBT is effective and likely results in symptom improvement in mild to moderate major depression and social phobia. Guided iCBT may improve the symptoms of generalized anxiety disorder and panic disorder compared with waiting list. However, we are uncertain about the effectiveness of iCBT compared with individual or group face-to-face CBT. Guided iCBT represents good value for money and could be offered for the short-term treatment of adults with mild to moderate major depression or anxiety disorders. Most people with mild to moderate depression or anxiety disorders with whom we spoke felt that, despite some perceived limitations, iCBT provides greater control over the time, pace, and location of therapy. It also improves access for people who could not otherwise access therapy because of cost, time, or the nature of their health condition.

A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint

Trials of digital interventions can yield extensive, in-depth usage data, yet usage analyses tend to focus on broad descriptive summaries of how an intervention has been used by the whole sample. This paper proposes a novel framework to guide systematic, fine-grained usage analyses that better enables understanding of how an intervention works, when, and for whom. The framework comprises three stages to assist in the following: (1) familiarization with the intervention and its relationship to the captured data, (2) identification of meaningful measures of usage and specifying research questions to guide systematic analyses of usage data, and (3) preparation of datasheets and consideration of available analytical methods with which to examine the data. The framework can be applied to inform data capture during the development of a digital intervention and/or in the analysis of data after the completion of an evaluation trial. We will demonstrate how the framework shaped preparation and aided efficient data capture for a digital intervention to lower transmission of cold and flu viruses in the home, as well as how it informed a systematic, in-depth analysis of usage data collected from a separate digital intervention designed to promote self-management of colds and flu. The Analyzing and Measuring Usage and Engagement Data (AMUsED) framework guides systematic and efficient in-depth usage analyses that will support standardized reporting with transparent and replicable findings. These detailed findings may also enable examination of what constitutes effective engagement with particular interventions.

MyCompass in a Swedish context - lessons learned from the transfer of a self-guided intervention targeting mental health problems

BACKGROUND

Depression and anxiety is a major public health problem, in Sweden and internationally. Internet-based interventions are increasingly acknowledged as promising approaches for individuals with varying degrees of mental health problems. We present findings from the implementation of myCompass, a fully automated self-guided intervention of Australian origin, in a Swedish context.

METHODS

We (i) share our experience of the E-health study platform (i.e., regarding security aspects, functionality) to which the myCompass intervention was linked, and (ii) report findings from the empirical evaluation of myCompass (i.e., prerequisites, execution, study outcomes), in a community sample of individuals (N = 837) reporting mild-to-moderate levels of depression, anxiety and stress. Outcomes were calculated with repeated measures ANOVA and linear mixed models.

RESULTS

The E-health study platform proved to be an efficient tool enabling randomization, informed consent and evaluation to be administered in a fully automated manner. The study rendered substantial interest initially with 1207 individuals enrolling, however it failed to maintain engagement of those enrolled with only few participants logging in more than once or twice following registration. A smaller subgroup of "active users" (n = 35) had a markedly higher activity in the program, however their treatment results were not significantly better than those of the control group.

CONCLUSION

Based on the large number of dropouts and also modest use of the intervention overall, only tentative speculations can be made regarding its effectiveness in a Swedish context. The number of individuals remaining active in the intervention is much more limited that the number of individuals initially signing up. Moreover, the transportation of interventions across countries and cultures may need more careful consideration, and pilot-trials before attempting large-scale trials are recommended.

TRIAL REGISTRATION

MyCompass was retrospectively registered at ClinicalTrials.gov . NCT03659630 September 3rd 2018, and was given the protocol ID 2015/1268-31/2 + 2016/88.

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.

Smartphone application for preventing depression: study protocol for a workplace randomised controlled trial

INTRODUCTION

Depression is the leading cause of life years lost due to disability. Appropriate prevention has the potential to reduce the incidence of new cases of depression, however, traditional prevention approaches face significant scalability issues. Prevention programmes delivered by via smartphone applications provide a potential solution. The workplace is an ideal setting to roll out this form of intervention, particularly among industries that are unlikely to access traditional health initiatives and whose workplace characteristics create accessibility and portability issues. The study aims to evaluate the effectiveness of a smartphone application designed to prevent depression and improve well-being. The effectiveness of the app as a universal, selective and indicated prevention tool will also be evaluated.

METHODS AND ANALYSIS

A multicentre randomised controlled trial, to determine the effectiveness of the intervention compared with an active mood monitoring control in reducing depressive symptoms (primary outcome) and the prevalence of depression at 3 months, with secondary outcomes assessing well-being and work performance. Employees from a range of industries will be invited to participate. Participants with likely current depression at baseline will be excluded. Following baseline assessment, participants, blinded to their allocation, will be randomised to receive one of two versions of the application: headgear (a 30-day mental health intervention) or a control application (mood monitoring for 30 days). Both versions of the app contain a risk calculator to provide a measure of future risk. Analyses will be conducted within an intention-to-treat framework using mixed modelling, with additional analyses conducted to compare the moderating effect of baseline risk level and depression symptom severity on the intervention's effectiveness.

ETHICS AND DISSEMINATION

The current trial has received ethics approval from the University of New South Wales Human Research Ethics Committee (HC17021). Study results will be disseminated through peer-reviewed journals and conferences.

TRIAL REGISTRATION NUMBER

ACTRN12617000548336; Results.

Model-Based Economic Evaluation of Treatments for Depression: A Systematic Literature Review

BACKGROUND

An increasing number of model-based studies that evaluate the cost effectiveness of treatments for depression are being published. These studies have different characteristics and use different simulation methods.

OBJECTIVE

We aimed to systematically review model-based studies evaluating the cost effectiveness of treatments for depression and examine which modelling technique is most appropriate for simulating the natural course of depression.

METHODS

The literature search was conducted in the databases PubMed, EMBASE and PsycInfo between 1 January 2002 and 1 October 2016. Studies were eligible if they used a health economic model with quality-adjusted life-years or disability-adjusted life-years as an outcome measure. Data related to various methodological characteristics were extracted from the included studies. The available modelling techniques were evaluated based on 11 predefined criteria.

RESULTS

This methodological review included 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the studies (54%) evaluated antidepressants compared with a control condition. The data sources, time horizons, cycle lengths, perspectives adopted and number of health states/events all varied widely between the included studies. DTs scored positively in four of the 11 criteria, CMMs in five, ISMs in six, and DES models in seven.

CONCLUSION

There were substantial methodological differences between the studies. Since the individual history of each patient is important for the prognosis of depression, DES and ISM simulation methods may be more appropriate than the others for a pragmatic representation of the course of depression. However, direct comparisons between the available modelling techniques are necessary to yield firm conclusions.

A Web-Based Public Health Intervention to Reduce Functional Impairment and Depressive Symptoms in Adults With Type 2 Diabetes (The SpringboarD Trial): Randomized Controlled Trial Protocol

Background

Depressive symptoms are common in people with type 2 diabetes and contribute to adverse health consequences that substantially impact social and vocational function. Despite the existence of effective depression treatments, the majority of people with type 2 diabetes do not access these when needed. Web-based alternatives to more traditional psychotherapies offer a potential solution to reducing the personal and economic burdens of type 2 diabetes.

Objective

This paper outlines the protocol for a randomized controlled trial (RCT) of myCompass, a Web-based public health psychotherapy intervention, in people with type 2 diabetes. Fully automated, interactive, and delivered via the Internet without clinician support, myCompass teaches cognitive behavioral therapy-based skills and supports symptom monitoring to improve daily functioning and reduce mild-to-moderate mental health symptoms.

Methods

A two-arm RCT will be conducted. People with type 2 diabetes and mild-to-moderately severe depressive symptoms will be recruited from the community and general practice settings. Screening and enrollment is via an open-access website. Participants will be randomized to use either myCompass or an active placebo program for 8 weeks, followed by a 4-week tailing-off period. The placebo program is matched to myCompass on mode of delivery, interactivity, and duration. Outcomes will be assessed at baseline and at 3-month, 6-month, and 12-month follow-up. The primary study outcome is work and social functioning. Secondary study outcomes include depressive and anxious symptoms, diabetes-related distress, self-care behaviors, and glycemic control.

Results

Nationwide recruitment is currently underway with the aim of recruiting 600 people with type 2 diabetes. Recruitment will continue until October 2017.

Conclusions

This is the first known trial of a Web-based psychotherapy program that is not diabetes specific for improving social and vocational function in people with type 2 diabetes and mild-to-moderately severe depressive symptoms. With the increasing prevalence of type 2 diabetes and depression, a potentially scalable public health intervention could play a very large role in reducing unmet mental health need and ameliorating the personal and societal impact of illness comorbidity.

Trial Registration

Australian New Zealand Clinical Trials Registry (ANZCTR) Number: ACTRN12615000931572; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368109 (Archived by WebCite at http://www.webcitation.org/ 6rh3imVMh)

Feasibility randomised controlled trial of a self-help acceptance and commitment therapy intervention for grief and psychological distress in carers of palliative care patients

We tested the feasibility and preliminary effectiveness of an acceptance and commitment therapy self-help intervention for grief and psychological distress in carers of patients in palliative care. Carers were randomised to the control group, which received treatment as usual, or the intervention group, which received treatment as usual plus an acceptance and commitment therapy–based self-help booklet and telephone support call. Questionnaires were completed at baseline, 1-month post-allocation and 6 months post-loss. Results indicated that the intervention was generally feasible and viewed as acceptable to carers. Preliminary effectiveness analyses showed at least a small effect in acceptance, valued-living, grief and psychological distress.

An acceptance and commitment therapy self-help intervention for carers of patients in palliative care: Protocol of a feasibility randomised controlled trial

Undertaking a caregiving role at end of life can have enduring psychological consequences for carers, including poor adjustment in bereavement. Acceptance and commitment therapy–based interventions have demonstrated effectiveness in helping people cope with a range of life challenges. This article presents the protocol of a feasibility randomised controlled trial of an acceptance and commitment therapy self-help intervention for psychological distress and grief in carers of patients in palliative care. We will assess feasibility and acceptability of the trial procedures and intervention as well as preliminary effectiveness of the intervention on carer well-being outcomes.

Mobile Phone and Web-based Cognitive Behavior Therapy for Depressive Symptoms and Mental Health Comorbidities in People Living With Diabetes: Results of a Feasibility Study

BACKGROUND

Depression is often comorbid with diabetes; however, undertreatment of depressive symptoms in people affected is common.

OBJECTIVE

We studied preliminary acceptability and effectiveness of a fully automated, mobile phone, and web-based public health intervention, myCompass, for reducing depressive symptoms and improving mental health comorbidities in people with diabetes.

METHODS

In this single-group feasibility study, 89 volunteers with type 1 (n=34) or type 2 (n=55) diabetes and at least mild depressive symptoms used myCompass for 7 weeks. Web-based measures of depressive and anxious symptoms, functional impairment, diabetes-specific variables, and user satisfaction were completed at baseline, postintervention, and 3-month follow-up.

RESULTS

Retention rates were 54% (n=48) at postintervention and 36% (n=32) at follow-up. Depressive symptoms were significantly improved at postintervention (P<.001; within-group effect size d=1.05), with gains persisting at follow-up. Mental health comorbidities, including anxiety (P<.001), functioning (P<.001), and diabetes-specific distress (P<.001), also showed significant and sustained improvement. Satisfaction with myCompass was high, with convenience and ease of program use, and relevance of program content rated positively by participants.

CONCLUSIONS

The myCompass program shows promise as an acceptable and effective treatment for depression and comorbid mental health problems in people with diabetes. The program is broadly available, free to use, and may benefit patients with diabetes who do not access services and/or wish to manage their mental health themselves. Replication of these findings in a controlled study is warranted.