The clinical effectiveness of stepped care systems for depression in working age adults: a systematic review

Effectiveness of Eight-Session Dialectical Behavior Therapy Skills Classes for Reducing Symptoms of Anxiety, Depression, and Emotional Dysregulation in a Transdiagnostic Population

Brief group-based psychological treatments are a common tool for increasing service access. Dialectical behavior therapy (DBT) skills groups have been used with several clinical populations to improve emotional regulation. This research aimed to examine the effectiveness of DBT-informed classes across four treatment settings in reducing symptoms of depression, anxiety, and emotional dysregulation, as well as examining participant factors associated with treatment responsiveness and class dropout. A total of 315 participants completed pre-post measures as a part of standard clinical care. Linear mixed model analyses showed that participants who completed DBT-informed classes experienced significant reductions in symptoms of depression, anxiety, and emotional dysregulation. Only an individual's baseline DSM-5 score significantly predicted responsiveness to treatment in terms of decreasing symptoms of anxiety, depression, and emotional dysregulation.

Minimizing patient burden in outcome monitoring: The case for abbreviated versions of PHQ-9, GAD-7 and WSAS

BACKGROUND

The Improving Access to Psychological Therapies (IAPT) program uses the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Scale (GAD-7), and the Work and Social Adjustment Scale (WSAS) as part of their unique outcome monitoring system. To reduce patient burden, this study explored whether abbreviated versions of these questionnaires can be used to derive relevant outcome statistics with minimal loss of information.

METHODS

Using two samples (training; n = 1530, validation; n = 766), we examined whether existing short-forms, PHQ-4 and GAD-R3, would provide enough information to calculate relevant outcomes with near perfect agreement with the outcomes based on the original scales. We also examined 1) whether additional items would further improve the agreement between the abbreviated and original scales, and 2) alternative short-forms based on the sample-derived item information curves. The latter was also used to derive an abbreviated version of WSAS.

RESULTS

The abbreviated version derived from the item information curves provided the closest match with the original scales. A 5-item version of PHQ, a 4-item version of GAD, and a 3-item version of WSAS were correlated 0.95 with their original counterpart. Agreement as expressed by Cohen's kappa also suggested near perfect agreement for the outcomes (reliable) recovery rate and reliable improvement rate (>0.80). The outcome point estimates also matched very well (<2 % difference). Results were replicated in the validation sample.

CONCLUSION

The derived abbreviated versions can be used for the purpose of routine outcome monitoring with minimal loss of information and reduce patient burden with nearly 50 %.

Utilization, Satisfaction, and Clinical Outcomes of People of Color and White Adults Using an Employer-Sponsored Digital Mental Health Platform

Evaluating digital mental health services across racial and ethnic identities is crucial to ensuring health equity. We examined how People of Color (POC) and White adults were using and benefiting from an employer-sponsored digital mental health platform. A sample of 947 adults (42% POC) consented to an observational study and completed surveys on their identities and mental health outcomes at baseline and three-month follow-up. We examined care preferences, utilization, therapeutic alliance with mental health providers, and changes in outcomes among POC and White adults. At baseline, there were no race or ethnicity differences in preferred topics of focus (p = 0.36), rates of depression, anxiety, or loneliness (ps > 0.35), or self-reported well-being or stress (ps > 0.07). POC adults were more likely to prefer one-on-one care than White adults (p = 0.02). After 3 months of care utilization, there were no differences in therapeutic alliance (p = 0.52), use of therapy, coaching, or self-guided digital resources (ps > 0.47), or in the likelihood of improving, recovering, or maintaining clinical symptoms or psychosocial factors (ps > 0.07). Utilization, satisfaction, and clinical effectiveness were similar between POC and White adults, indicating the platform may offer comparable experiences. Evaluating utilization and outcomes among POC communities is necessary to inform consumers and help developers assess if innovations are fostering health equity.

Stratified Care in Cognitive Behavioural Therapy: A Comparative Evaluation of Predictive Modelling Approaches for Individualized Treatment: La stratification des soins pour l'orientation vers une thérapie cognitivo-comportementale: une évaluation comparative des approches de modélisation prédictive pour un traitement individualisé

OBJECTIVE

In response to high demand and prolonged wait times for cognitive behavioural therapy (CBT) in Ontario, Canada, we developed predictive models to stratify patients into high- or low-intensity treatment, aiming to optimize limited healthcare resources.

METHOD

Using client records (n = 953) from Ontario Shores Centre for Mental Health Sciences (January 2017-2021), we estimated four binary outcome models to assign patients into complex and standard cases based on the probability of reliable improvement in Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) scores. We evaluated two choices of cut-offs for patient complexity assignment: models at an ROC (receiver operating characteristic)-derived cut-off and a 0.5 probability cut-off. Final model effectiveness was assessed by assigning treatment intensity (high-intensity or low-intensity CBT) based on the combined performance of both GAD-7 and PHQ-9 models. We compared the treatment assignment recommendations provided by the models to those assigned by clinical assessors.

RESULTS

The predictive models demonstrated higher accuracy in selecting treatment modality compared to provider-assigned treatment selection. The ROC cut-off achieved the highest prediction accuracy of case complexity (0.749). The predictive models exhibited large sensitivity and specificity trade-offs (which influence the rates of patient assignment to high-intensity CBT) despite having similar accuracy statistics (ROC cut-off = 0.749, 0.5 cut-off = 0.690), emphasizing the impact of cut-off choices when implementing predictive models.

CONCLUSIONS

Overall, our findings suggest that the predictive model has the potential to improve the allocation of CBT services by shifting incoming clients with milder symptoms of depression to low-intensity CBT, with those at highest risk of not improving beginning in high-intensity CBT. We have demonstrated that models can have significant sensitivity and specificity trade-offs depending on the chosen acceptable threshold for the model to make positive predictions of case complexity. Further research could assess the use of the predictive model in real-world clinical settings.

PLAIN LANGUAGE SUMMARY TITLE

Stratified Care in Cognitive Behavioural Therapy: A Comparative Evaluation of Predictive Modeling Approaches for Individualized Treatment.

Improvement and Maintenance of Clinical Outcomes in a Digital Mental Health Platform: Findings From a Longitudinal Observational Real-World Study

BACKGROUND

Digital mental health services are increasingly being provided by employers as health benefit programs that can improve access to and remove barriers to mental health care. Stratified care models, in particular, offer personalized care recommendations that can offer clinically effective interventions while conserving resources. Nonetheless, clinical evaluation is needed to understand their benefits for mental health and their use in a real-world setting.

OBJECTIVE

This study aimed to examine the changes in clinical outcomes (ie, depressive and anxiety symptoms and well-being) and to evaluate the use of stratified blended care among members of an employer-sponsored digital mental health benefit.

METHODS

In a large prospective observational study, we examined the changes in depressive symptoms (9-item Patient Health Questionnaire), anxiety symptoms (7-item Generalized Anxiety Disorder scale), and well-being (5-item World Health Organization Well-Being Index) for 3 months in 509 participants (mean age 33.9, SD 8.7 years; women: n=312, 61.3%; men: n=175, 34.4%; nonbinary: n=22, 4.3%) who were newly enrolled and engaged in care with an employer-sponsored digital mental health platform (Modern Health Inc). We also investigated the extent to which participants followed the recommendations provided to them through a stratified blended care model.

RESULTS

Participants with elevated baseline symptoms of depression and anxiety exhibited significant symptom improvements, with a 37% score improvement in depression and a 29% score improvement in anxiety (P values <.001). Participants with baseline scores indicative of poorer well-being also improved over the study period (90% score improvement; P=.002). Furthermore, over half exhibited clinical improvement or recovery for depressive symptoms (n=122, 65.2%), anxiety symptoms (n=127, 59.1%), and low well-being (n=82, 64.6%). Among participants with mild or no baseline symptoms, we found high rates of maintenance for low depressive (n=297, 92.2%) and anxiety (n=255, 86.7%) symptoms and high well-being (n=344, 90.1%). In total, two-thirds of the participants (n=343, 67.4%) used their recommended care, 16.9% (n=86) intensified their care beyond their initial recommendation, and 15.7% (n=80) of participants underused care by not engaging with the highest level of care recommended to them.

CONCLUSIONS

Participants with elevated baseline depressive or anxiety symptoms improved their mental health significantly from baseline to follow-up, and most participants without symptoms or with mild symptoms at baseline maintained their mental health over time. In addition, engagement patterns indicate that the stratified blended care model was efficient in matching individuals with the most effective and least costly care while also allowing them to self-determine their care and use combinations of services that best fit their needs. Overall, the results of this study support the clinical effectiveness of the platform for improving and preserving mental health and support the utility and effectiveness of stratified blended care models to improve access to and use of digitally delivered mental health services.

LiveWell, a smartphone-based self-management intervention for bipolar disorder: Intervention participation and usability analysis

BACKGROUND

Understanding how individuals utilize and perceive digital mental health interventions may improve engagement and effectiveness. To support intervention improvement, participant feedback was obtained and app use patterns were examined for a randomized clinical trial evaluating a smartphone-based intervention for individuals with bipolar disorder.

METHODS

App use and coaching engagement were examined (n = 124). Feedback was obtained via exit questionnaires (week 16, n = 81) and exit interviews (week 48, n = 17).

RESULTS

On average, over 48 weeks, participants used the app for 4.4 h and engaged with the coach for 3.9 h. Participants spent the most time monitoring target behaviors and receiving adaptive feedback and the least time viewing self-assessments and skills. Participants reported that the daily check in helped increase awareness of target behaviors but expressed frustration with repetitiveness of monitoring and feedback content. Participants liked personalizing their wellness plan, but its use did not facilitate skills practice. App use declined over time which participants attributed to clinical stability, content mastery, and time commitment. Participants found the coaching supportive and motivating for app use.

LIMITATIONS

App engagement based on viewing time may overestimate engagement. The delay between intervention delivery and the exit interviews and low exit interview participation may introduce bias.

CONCLUSION

Utilization patterns and feedback suggest that digital mental health engagement and efficacy may benefit from adaptive personalization of targets monitored combined with adaptive monitoring and feedback to support skills practice and development. Increasing engagement with supports may also be beneficial.

Adapting psychological interventions for people with severe and profound intellectual disabilities: A behavioural activation exemplar

BACKGROUND

People with severe to profound intellectual disabilities experience similar or higher levels of depression than those with more mild intellectual disabilities. Yet, there is an absence of evidence about how to adapt existing psychological therapies for this population.

METHOD

A behavioural activation intervention (BeatIt) for people with mild to moderate intellectual disabilities was adapted for people with severe to profound intellectual disabilities and depression. Key considerations include: (i) beginning with a more in-depth assessment process; (ii) including the person in session activities and developing a relationship with them; (iii) formulation and the use of film to document the link between activity and mood; and (iv) addressing barriers to change at an individual and inter-personal level and considering how the carer could support the person's engagement in activity.

RESULTS

Successfully adapting BeatIt represents a first step towards gathering evidence about the effectiveness of behavioural activation for people with severe to profound intellectual disabilities.

Depressive symptoms among adults: Baseline findings of PURE Malaysia cohort study

Introduction

In Malaysia, the prevalence of depression has increased from 1.8 % to 2.3 % within a decade. Thus, this study was performed to identify depressive symptoms and its associated factors among Malaysian adults.

Methods

A cross-sectional study was conducted among the adult population aged 35-70 residing in rural and urban areas in Malaysia. Depressive symptoms were assessed using the short form Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) Composite International Diagnostic Interview (CIDI) questionnaire. Logistic regression models were fitted to identify the associated factors related to depressive symptoms.

Results

About 3.7 % (95 % CI: 2.33-4.83) of the respondents reported having depressive symptoms. Younger adults aged 35-40 years old (AOR: 3.087; 95 % CI: 2.021-4.717), females (AOR: 2.318; 95 % CI: 1.669-3.219), widows and divorcees (AOR: 2.294; 95 % CI: 1.085-4.848), smokers (AOR: 1.843; 95 % CI: 1.334-2.545) and alcohol consumers (AOR: 1.843; 95 % CI: 1.264-2.688) showed a higher odds compared to their other counterparts. Underweight individuals (AOR: 1.899; 95 % CI: 1.177-3.065) and those diagnosed either with hypertension (AOR: 1.442; 95 % CI: 1.11-1.873), diabetes (AOR: 1.554; 95 % CI: 1.133-2.13), angina (AOR: 2.73; 95 % CI: 1.596-4.67), COPD (AOR: 4.187; 95 % CI: 1.528-11.472) or asthma (AOR: 1.906; 95 % CI: 1.309-2.774) were more likely to have depressive symptoms. Additionally, individuals with difficulty trusting people (AOR: 1.477; 95 % CI: 1.024-2.13) and those reported to experience either home or work-related stress (AOR: 2.584; 95 % CI: 2.003-3.331) were more prone to have depressive symptoms.

Conclusion

In this broad population-based study, about 3.7 % (95 % CI: 2.33-4.83) of respondents reported having depressive symptoms. Timely and well targeted collaborative intervention on the identified risk factors by the relevant authorities, would mitigate their effect on the quality of life and retard the progression into depression, especially among younger adults.

Provider perceptions of the anticipated benefits, barriers, and facilitators associated with implementing a stepped care model for the delivery of addiction and mental health services in New Brunswick: a mixed-methods observational implementation study

BACKGROUND

Providers who work within addiction and mental health (A&MH) services in New Brunswick (NB), Canada completed training in Stepped Care 2.0 and One-at-a-Time (OAAT) therapy as part of a provincial practice change initiative to implement a provincial stepped care model. The present study aimed to identify: (1) the perceived acceptability and feasibility of the SC2.0 model; (2) the perceived benefits, barriers, and facilitators to implement SC2.0 in practice; and (3) perceived impacts on clinical practice.

METHODS

This is a mixed-methods observational implementation study. Quantitative surveys were completed after training courses. Open-ended responses were collected after completion of SC2.0 training. A subset of providers who completed surveys were asked to participate in semi-structured interviews. Descriptive statistics were used to describe results from surveys. Open-ended responses and semi-structured interviews were compiled and thematically synthesized in an iterative process using a grounded theory framework. Quantitative and qualitative data were triangulated to build an in-depth understanding of provider perceptions.

RESULTS

316 providers completed surveys and responded to open-ended prompts. Interviews were completed with 28 of those providers. SC2.0 was deemed to be acceptable, a suitable fit, and feasible to implement. Perceived benefits included: (1) timely access to services; (2) increased practice efficiency; and (3) increased availability of services. Perceived barriers included: (1) insufficient availability of resources to populate a SC2.0 continuum of care; (2) provider complacency with their current practice; and (3) difficulty for clients to accept and adjust to change.

CONCLUSIONS

Identifying the perceived benefits, facilitators, and barriers to adopting stepped care in practice can lead to targeted implementation strategies and the collection of data that can inform continuous improvement cycles.

Enhanced recovery support for people with eating disorders during the COVID-19 pandemic: quality improvement using a web-based, stepped-care programme in Canada

BACKGROUND

Throughout the COVID-19 pandemic, the number of individuals struggling with eating disorders (EDs) increased substantially. Body Brave (a not-for-profit) created and implemented a web-based stepped-care Recovery Support Programme (RSP) to improve access to community-based ED services. This quality improvement study describes the RSP and assesses its ability to deliver timely access to treatment and platform engagement.

METHODS

We conducted a retrospective cohort study comparing access to, and use of Body Brave services 6 months before and 12 months after implementation of the RSP platform (using 6-month increments for two postimplementation periods). Primary programme quality measures included registration requests, number of participants onboarded and time to access services; secondary measures included use of RSP action plans, attendance for recovery sessions and workshops, number of participants accessing treatment and text-based patient experience data.

RESULTS

A substantial increase in registration requests was observed during the first postimplementation period compared with the preimplementation period (176.5 vs 85.5; p=0.028). When compared with the preimplementation period, the second postimplementation observed a significantly larger percentage of successfully onboarded participants (76.6 vs 37.9; p<0.01) and a reduction in the number of days to access services (2 days vs 31 days; p<0.01). Although participant feedback rates were low, many users found the RSP helpful, easy to access, user-friendly and were satisfied overall. Users provided suggestions for improvement (eg, a platform instructional video, offer multiple times of day for live sessions and drop-in hours).

CONCLUSIONS

Although clinical benefit needs to be assessed, our findings demonstrate that the RSP enabled participants to quickly onboard and access initial services and have informed subsequent improvements. Understanding initial programme effects and usage will help assess the feasibility of adapting and expanding the RSP across Canada to address the urgent need for low-barrier, patient-centred ED care.

Variables Associated with Emotional Symptom Severity in Primary Care Patients: The Usefulness of a Logistic Regression Equation to Help Clinical Assessment and Treatment Decisions

The aim of this study is to contribute to the evidence regarding variables related to emotional symptom severity and to use them to exemplify the potential usefulness of logistic regression for clinical assessment at primary care, where most of these disorders are treated. Cross-sectional data related to depression and anxiety symptoms, sociodemographic characteristics, quality of life (QoL), and emotion-regulation processes were collected from 1,704 primary care patients. Correlation and analysis of variance (ANOVA) tests were conducted to identify those variables associated with both depression and anxiety. Participants were then divided into severe and nonsevere emotional symptoms, and binomial logistic regression was used to identify the variables that contributed the most to classify the severity. The final adjusted model included psychological QoL (p < .001, odds ratio [OR] = .426, 95% CI [.318, .569]), negative metacognitions (p < .001, OR = 1.083, 95% CI [1.045, 1.122]), physical QoL (p < .001, OR = .870, 95% CI [.841, .900]), brooding rumination (p < .001, OR = 1.087, 95% CI [1.042, 1.133]), worry (p < .001, OR = 1.047, 95% CI [1.025, 1.070]), and employment status (p = .022, OR [.397, 2.039]) as independent variables, ρ2 = .326, area under the curve (AUC) = .857. Moreover, rumination and psychological QoL emerged as the best predictors to form a simplified equation to determine the emotional symptom severity (ρ2 = .259, AUC = .822). The use of statistical models like this could accelerate the assessment and treatment-decision process, depending less on the subjective point of view of clinicians and optimizing health care resources.

A randomized controlled trial on using predictive algorithm to adapt level of psychological care for community college students: STAND triaging and adapting to level of care study protocol

BACKGROUND

There is growing interest in using personalized mental health care to treat disorders like depression and anxiety to improve treatment engagement and efficacy. This randomized controlled trial will compare a traditional symptom severity decision-making algorithm to a novel multivariate decision-making algorithm for triage to and adaptation of mental health care. The stratified levels of care include a self-guided online wellness program, coach-guided online cognitive behavioral therapy, and clinician-delivered psychotherapy with or without pharmacotherapy. The novel multivariate algorithm will be comprised of baseline (for triage and adaptation) and time-varying variables (for adaptation) in four areas: social determinants of mental health, early adversity and life stressors, predisposing, enabling, and need influences on health service use, and comprehensive mental health status. The overarching goal is to evaluate whether the multivariate algorithm improves adherence to treatment, symptoms, and functioning above and beyond the symptom-based algorithm.

METHODS/DESIGN

This trial will recruit a total of 1000 participants over the course of 5 years in the greater Los Angeles Metropolitan Area. Participants will be recruited from a highly diverse sample of community college students. For the symptom severity approach, initial triaging to level of care will be based on symptom severity, whereas for the multivariate approach, the triaging will be based on a comprehensive set of baseline measures. After the initial triaging, level of care will be adapted throughout the duration of the treatment, utilizing either symptom severity or multivariate statistical approaches. Participants will complete computerized assessments and self-report questionnaires at baseline and up to 40 weeks. The multivariate decision-making algorithm will be updated annually to improve predictive outcomes.

DISCUSSION

Results will provide a comparison on the traditional symptom severity decision-making and the novel multivariate decision-making with respect to treatment adherence, symptom improvement, and functional recovery. Moreover, the developed multivariate decision-making algorithms may be used as a template in other community college settings. Ultimately, findings will inform the practice of level of care triage and adaptation in psychological treatments, as well as the use of personalized mental health care broadly.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05591937, submitted August 2022, published October 2022.

Guiding Principles for Implementing Stepped Care in Mental Health: Alignment on the Bigger Picture

Stepped care models are a mental healthcare delivery framework in which a continuum of support allows selection of a range of interventions to match a client's evolving needs and preferences. Currently in use in multiple settings worldwide, stepped care has the potential to provide a needed advance for the development of comprehensive mental health systems. However, definitions of stepped care lack consistency, resulting in differing interpretations reflected in variable implementation, ultimately limiting its replicability, utility and potential for impact. To help foster greater alignment in research and practice, we propose a set of principles for stepped care which can provide guidance on how to bridge multiple mental health services together, reduce fragmentation, and respond to the full breadth of mental health needs along a continuum of care in diverse settings. We hope that articulating these principles will foster discussion and spur mental health stakeholders to translate them into actionable standards.

A Novel and Integrated Digitally Supported System of Care for Depression and Anxiety: Findings From an Open Trial

BACKGROUND

The global burden of anxiety and depression has created an urgent need for scalable approaches to increase access to evidence-based mental health care. The Screening and Treatment for Anxiety and Depression (STAND) system of care was developed to meet this need through the use of internet-connected devices for assessment and provision of treatment. STAND triages to level of care (monitoring only, digital therapy with coaches, digital therapy assisted by clinicians in training, and clinical care) and then continuously monitors symptoms to adapt level of care. Triaging and adaptation are based on symptom severity and suicide risk scores obtained from computerized adaptive testing administered remotely.

OBJECTIVE

This article discusses how the STAND system of care improves upon current clinical paradigms, and presents preliminary data on feasibility, acceptability, and effectiveness of STAND in a sample of US-based university students.

METHODS

US-based university students were recruited and enrolled in an open trial of the STAND system of care. Participants were triaged based on initial symptom severity derived from a computerized adaptive test and monitored over 40 weeks on anxiety, depression, and suicide risk to inform treatment adaptation and evaluate preliminary effectiveness.

RESULTS

Nearly 5000 students were screened and 516 received care. Depression and anxiety severity scores improved across all tiers (P<.001 in all cases). Suicide risk severity improved in the highest tier (ie, clinical care; P<.001). Acceptability and feasibility were demonstrated.

CONCLUSIONS

STAND is a feasible and acceptable model of care that can reach large numbers of individuals. STAND showed preliminary effectiveness on all primary outcome measures. Current directions to improve STAND are described.

Examining service utilisation and impact among consumers of a national mental health stepped care programme in Australia: a protocol using linked administrative data

INTRODUCTION

Mental well-being is a global public health priority with increasing mental health conditions having substantial burden on individuals, health systems and society. 'Stepped care', where services are provided at an intensity to meet the changing needs of the consumer, is the chosen approach to mental health service delivery in primary healthcare in Australia for its efficiencies and patient outcomes; yet limited evidence exists on how the programme is being rolled out and its impact in practice. This protocol outlines a data linkage project to characterise and quantify healthcare service utilisation and impacts among a cohort of consumers of a national mental health stepped care programme in one region of Australia.

METHODS AND ANALYSIS

Data linkage will be used to establish a retrospective cohort of consumers of mental health stepped care services between 1 July 2020 and 31 December 2021 in one primary healthcare region in Australia (n=approx. 12 710). These data will be linked with records from other healthcare service data sets (eg, hospitalisations, emergency department presentations, community-based state government-delivered mental healthcare, hospital costs). Four areas for analysis will include: (1) characterising the nature of mental health stepped care service use; (2) describing the cohort's sociodemographic and health characteristics; (3) quantifying broader service utilisation and associated economic costs; and (4) assessing the impact of mental health stepped care service utilisation on health and service outcomes.

ETHICS AND DISSEMINATION

Approval from the Darling Downs Health Human Research Ethics Committee (HREA/2020/QTDD/65518) has been granted. All data will be non-identifiable, and research findings will be disseminated through peer-reviewed journals, conference presentations and industry meetings.

Defining work-focused cognitive behavioural therapy (W-CBT) and whether it is effective at facilitating return to work for people experiencing mental health conditions: A systematic review and narrative synthesis

It is unclear what constitutes Work Focused Cognitive Behaviour Therapy (W-CBT). This review sought to define W-CBT and ascertain its effectiveness at facilitating return to work (RTW) for people experiencing mental health conditions. A systematic review and narrative synthesis were undertaken. Five databases were searched (Medline, ProQuest, PsychInfo, Scopus, and Web of Science). English publications with an intervention combining CBT with RTW were selected. Quality checklists from the Joanna Briggs Institute were applied. Searching yielded 16,863 results. 23 moderate-to-high quality studies from 25 articles were included (13 experimentally designed studies, 3 pilots/case studies and 7 reviews). Results indicated W-CBT is effective at facilitating RTW for mild-to-moderate mental health conditions. For a program to be labelled W-CBT it is recommended it is (1) a stand-alone intervention; (2) delivered with an understanding RTW is the goal; and, (3) the CBT components are always framed by matters, subjects and contexts related to work.

Use of Mobile Apps & Stepped-Care Model for Treating Depression in Primary Care

Stepped-care (SC) models have been adopted in primary care settings as a method for treating mental health conditions within primary care. In a SC model, a patient's symptoms are assessed, and an intervention is prescribed that matches the severity of symptoms. Thus, the SC model offers a variety of steps and levels of treatment that range from low to high intensity. Progression in treatment is monitored on a weekly basis and patients are stepped up or down in level of care depending on their clinical response to the intervention.

Systematic review of structured care pathways in major depressive disorder and bipolar disorder

BACKGROUND

Structured care pathways (SCPs) consist of treatment algorithms that patients advance through with the goal of achieving remission or response. These SCPs facilitate the application of current evidence and adequate treatment, which potentially benefit patients with mood disorders. The aim of this systematic review was to provide an updated synthesis of SCPs for the treatment of depressive disorders and bipolar disorder (BD).

METHOD

PubMed, PsycINFO, and Embase were searched through June 2022 for peer-reviewed studies examining outcomes of SCPs. Eligibility criteria included being published in a peer-reviewed journal in the English language, reporting of intervention used in the SCP, and having quantitative outcomes. Studies Cochrane risk of bias tool was used to assess quality of RCTs.

RESULTS

Thirty-six studies including 15,032 patients were identified for qualitative synthesis. Six studies included patients with BD. The studies were highly heterogeneous in design, outcome measures, and algorithms. More than half of the studies reported superiority of SCPs over treatment as usual, suggesting that the standardized structure and consistent monitoring inherent in SCPs may be contributing to their effectiveness. We also found accumulating evidence supporting feasibility of SCPs in different settings, although dropout rates were generally higher in SCPs. The studies included were limited to being published in peer-reviewed journals in English language. The heterogeneity of studies did not allow quantitative evaluation.

CONCLUSIONS

The findings of our study suggest that SCPs are equally or more effective than treatment as usual in depression and BD. Further studies are required to ascertain their effectiveness, particularly for BD, and to identify factors that influence their feasibility and success.

Systematic review of the efficacy, effectiveness, and cost-effectiveness of stepped-care interventions for the prevention and treatment of problematic substance use

BACKGROUND

Stepped-care is a commonly recommended and implemented care model across health care domains, including substance use. Despite their presumed efficient allocation of treatment resources, a current and robust evidence synthesis is needed on the efficacy, effectiveness and cost-effectiveness of stepped-care for substance use.

METHODS

This systematic review analyzed articles describing evaluations of stepped-care models that measured the use of acutely psychoactive substances (i.e., alcohol, cannabis, hallucinogens, inhalants, opioids, sedatives, hypnotics, anxiolytics, and stimulants) as a primary or secondary outcome, in participants over 18 years old. The analysis investigated model and participant characteristics associated with treatment outcomes.

RESULTS

The study team conducted a search of five databases of literature (PsychINFO, MEDLINE, Embase, Cochrane Library and Scopus) published between January 1, 2010, and November 1, 2020. The search yielded 1051 unique articles, 19 of which were included in the analysis. The studies had considerable variability in sample sizes (n = 18-2310), time to follow-up (4.5 months to 3 years), and retention rates (35.1-100 %). Studies examined outcomes for either alcohol alone (n = 9), alcohol and other drug use (n = 9), or drug use alone (n = 1). Most studies (n = 13;) were rated as good quality. Three (15.8 %) were rated as fair and three (15.8 %) were rated as poor quality. The evidence regarding the efficacy, effectiveness and cost-effectiveness of stepped-care approaches is limited, but four of seven studies found that adaptive-care interventions delivered in the context of other systemic interventions produced greater benefit than control conditions in relation to at least one alcohol-related outcome. We have insufficient evidence to determine whether the modes or intensity of interventions included in the models, or decision rules used to step people up or down to differing levels of care, have an impact on outcome.

CONCLUSION

Heterogeneity between studies with regard to model and evaluation design limited the degree to which the analysis could draw robust conclusions. Sample recruitment and statistical power are particular challenges, and the field needs more innovative evaluation designs to assess the efficacy, effectiveness, and cost-effectiveness of stepped-care models.

First STEPS: Primary Outcomes of a Randomized, Stepped-Care Behavioral Clinical Trial for Parents of Young Children With New-Onset Type 1 Diabetes

OBJECTIVE

Despite the emotional challenges of parental adjustment to a child's type 1 diabetes diagnosis and the unique complexities of early childhood, there are few programs designed to meet the needs of parents of young children at new onset. This study evaluated First STEPS (Study of Type 1 in Early childhood and Parenting Support), a stepped-care behavioral intervention designed to support parents' psychosocial functioning and promote children's glycemic outcomes.

RESEARCH DESIGN AND METHODS

Using a two-site randomized clinical trial design, parents (n = 157) of children aged 1-6 years completed baseline data within 2 months of diabetes diagnosis and were randomly assigned to intervention (n = 115) or usual care (n = 42) for 9 months. Intervention steps included: 1) peer parent coaching, with step-ups to 2) structured behavioral counseling and 3) professional consultations with a diabetes educator and psychologist, based on parent mood and child HbA1c. Participants completed follow-ups at 9 and 15 months postrandomization. Primary outcomes were parent depressive symptoms and child HbA1c.

RESULTS

Depressive symptoms improved in both groups, and intervention parents had significantly lower depressive symptoms at the 9- and 15-month follow-ups compared with usual care. HbA1c decreased in both groups, but there were no between-group differences at 9 or 15 months.

CONCLUSIONS

First STEPS improved parents' mood following young children's type 1 diabetes diagnosis. Results indicate likely benefits of parent coach support, supplemented by intervention intensifications, including behavioral intervention and diabetes education. This model has high potential for patient engagement. The absence of a medical intervention component may explain null findings for HbA1c; incorporating targeted behavioral support for intensive diabetes treatment may maximize intervention impact.

Real world effectiveness of digital mental health services during the COVID-19 pandemic

Background

The COVID-19 pandemic created an unprecedented need for mental health services that can be remotely delivered. Digital mental health services that offer personalized care recommendations hold promise to efficiently expand service, but evidence of the effectiveness of digitally delivered mental health care in real-world settings remains limited.

Methods

A retrospective cohort of adults (N = 1,852) receiving care through a digital mental health platform with elevated depressive symptoms during the COVID-19 pandemic was analyzed to estimate changes in subjective well-being and clinical improvement in depressive symptoms (using the World Health Organization-Five [WHO-5] Well-Being Index), as well as compare the relative effectiveness and cost of different care utilization patterns.

Results

The average improvement in WHO-5 score was 10.1 points (CI: 9.3–10.9, p<0.001) at follow-up, which constituted a medium effect size (d = 0.73). The odds of clinical improvement in depressive symptoms were significantly greater among those who utilized telecoaching (aOR = 2.45, 95%CI: 1.91–3.15, p < .001), teletherapy (aOR = 2.01, 95%CI: 1.57–2.57, p < .001), and both services (aOR = 2.28, 95%CI: 1.67–3.11, p < .001) compared to those who only utilized assessments, adjusting for baseline WHO-5 score, age, sex, and number of days between baseline and follow-up assessments. The average estimated cost of care for telecoaching was $124 per individual, which was significantly less than teletherapy ($413) or both services ($559).

Conclusion

Digitally delivered care with a therapist and/or coach was effective in improving subjective well-being and clinical improvement in depressive symptoms. Although clinical outcomes were similar across utilization patterns, the cost of care was lowest among those utilizing telecoaching.

Understanding Components of Therapeutic Alliance and Well-Being from Use of a Global Digital Mental Health Benefit During the COVID-19 Pandemic: Longitudinal Observational Study

Digital mental health services leverage technology to increase access to care, yet less is known about the quality of therapeutic relationships in a virtual setting. This study examined components of therapeutic alliance (a mechanism underlying successful treatment) and its association with beneficial treatment outcomes in a real-world, virtual setting. The objective is to examine (1) participant ratings of components of therapeutic alliance with providers in a virtual setting, (2) changes in subjective well-being and depressive symptoms among participants who began care with elevated depressive symptoms, and (3) the association between components of alliance and changes in participants’ well-being. Adults (N = 3,087, M age = 36 ± 9 years, 54% female) across the world with access to digital mental health benefits who engaged in videoconference sessions with a licensed therapist (18%, 555/3,087), certified coach (65%, 2,003/3,087), or both (17%, 529/3,087) between Sept. 29, 2020 and Oct. 12, 21. Participants completed 2 adapted items from the Working Alliance Inventory (goals and bonds subscales) after each session, and ratings were averaged across visits (Cronbach’s ɑ = .72). Participants’ World Health Organization-Five (WHO-5) Well-Being Index scores at the start and end of the study period were used to measure changes in subjective well-being. Descriptive and inferential statistics were conducted to examine average alliance ratings across demographics and utilization types and the association between alliance and well-being. The median adapted therapeutic alliance score was 4.8 (range: 1–5) and did not differ by age, country, or baseline well-being (Ps > .07). Females reported higher components of alliance than males (4.88 vs. 4.67, P = .01). Participants utilizing telecoaching reported higher components of alliance than those utilizing teletherapy or both telecoaching and teletherapy (4.83 v. 4.75, P = .004), though effect sizes were negligible. Among those with elevated baseline depressive symptoms (n = 835), participants reported an average WHO-5 increase of 15.42 points (95% CI 14.19–16.65, P < .001, Cohen d = 1.06) with 58% (485/835) reporting clinical recovery and 57% (481/835) reporting clinical improvement in depressive symptoms. Higher components of therapeutic alliance scores predicted greater well-being at follow-up (b = 2.04, 95% CI 0.09–3.99, P = .04) after controlling for age, sex, baseline WHO-5, and number of days in care (R² = .06, P < .001). Exploratory analyses indicated this association did not differ by utilization type, baseline well-being, or session utilization (Ps > .34). People with access to one-on-one videoconferencing care via a digital mental health benefit formed a strong bond and sense of alignment on goals with both coaches and therapists. Higher components of alliance scores were associated with improvements in subjective well-being among participants who began care with elevated depressive symptoms, providing evidence that a positive bond and goal alignment with a provider are two of many factors influencing virtual care outcomes. Continued focus on the quality of therapeutic relationships will ensure digital mental health services are patient-tailored as these platforms expand equitable access to evidence-based care.

A Group-Facilitated, Internet-Based Intervention to Promote Mental Health and Well-Being in a Vulnerable Population of University Students: Randomized Controlled Trial of the Be Well Plan Program

BACKGROUND

A growing literature supports the use of internet-based interventions to improve mental health outcomes. However, most programs target specific symptoms or participant groups and are not tailored to facilitate improvements in mental health and well-being or do not allow for needs and preferences of individual participants. The Be Well Plan, a 5-week group-facilitated, internet-based mental health and well-being group intervention addresses these gaps, allowing participants to select a range of activities that they can tailor to their specific characteristics, needs, and preferences.

OBJECTIVE

This study aims to test whether the Be Well Plan program was effective in improving primary outcomes of mental well-being, resilience, anxiety, and depression compared to a waitlist control group during the COVID-19 pandemic; secondary outcomes included self-efficacy, a sense of control, and cognitive flexibility. The study further seeks to examine participants' engagement and satisfaction with the program.

METHODS

A randomized controlled trial (RCT) was conducted with 2 parallel arms, an intervention and a waitlist control group. The intervention involved 5 weekly 2-hour sessions, which were facilitated in group format using Zoom videoconferencing software. University students were recruited via social media posts, lectures, emails, flyers, and posters.

RESULTS

Using an intentional randomization 2:1 allocation strategy, we recruited 215 participants to the trial (n=126, 58.6%, intervention group; n=89, 41.4%, waitlist control group). Of the 126 participants assigned to the intervention group, 75 (59.5%) commenced the program and were included in modified intention-to-treat (mITT) analyses. mITT intervention participants attended, on average, 3.41 sessions (SD 1.56, median 4); 55 (73.3%) attended at least 4 sessions, and 25 (33.3%) attended all 5 sessions. Of the 49 intervention group participants who completed the postintervention assessment, 47 (95.9%) were either very satisfied (n=31, 66%) or satisfied (n=16, 34%). The mITT analysis for well-being (F_1,162=9.65, P=.002, Cohen d=0.48) and resilience (F_1,162=7.85, P=.006, Cohen d=0.44) showed significant time × group interaction effects, suggesting that both groups improved over time, but the Be Well Plan (intervention) group showed significantly greater improvement compared to the waitlist control group. A similar pattern of results was observed for depression and anxiety (Cohen d=0.32 and 0.37, respectively), as well as the secondary outcomes (self-efficacy, Cohen d=0.50; sense of control, Cohen d=0.42; cognitive flexibility, Cohen d=0.65). Larger effect sizes were observed in the completer analyses. Reliable change analysis showed that the majority of mITT participants (58/75, 77.3%) demonstrated a significant reliable improvement in at least 1 of the primary outcomes.

CONCLUSIONS

The Be Well Plan program was effective in improving mental health and well-being, including mental well-being, resilience, depression, and anxiety. Participant satisfaction scores and attendance indicated a high degree of engagement and satisfaction with the program.

TRIAL REGISTRATION

Australian New Zealand Clinical Trial Registry ACTRN12621000180819; https://tinyurl.com/2p8da5sk.

Scoping review of stepped care interventions for mental health and substance use service delivery to youth and young adults

AIMS

Many young people with mental health and/or substance use concerns do not have access to timely, appropriate, and effective services. Within this context, stepped care models (SCMs) have emerged as a guiding framework for care delivery, inspiring service innovations across the globe. However, substantial gaps remain in the evidence for SCMs as a strategy to address the current systemic challenges in delivering services for young people. This scoping review aims to identify where these gaps in evidence exist, and the next steps for addressing them.

METHODS

A scoping review was conducted involving both peer-reviewed and grey literature. Eligible studies explored SCMs implemented in the various health care settings accessed by young people aged 12-24 seeking treatment for mental health and substance use challenges. After screening titles and abstracts, two reviewers examined full-text articles and extracted data to create a descriptive summary of the models.

RESULTS

Of the 656 studies that were retrieved, 51 studies were included and grouped by study team for a final yield of 43 studies. Almost half of the studies were focused on the adult population (i.e., 18 and over), and most did not specify interventions for young people. Among the SCMs, substantial variability was found in almost every aspect of the models.

CONCLUSIONS

Considering the current body of evidence, there is an urgent need for a consensus position on the definition, implementation, and outcome measures required for rigorously assessing the utility of SCMs for young people.

Stratified Care vs Stepped Care for Depression: A Cluster Randomized Clinical Trial

IMPORTANCE

Depression is a major cause of disability worldwide. Although empirically supported treatments are available, there is scarce evidence on how to effectively personalize psychological treatment selection.

OBJECTIVE

To compare the clinical effectiveness and cost-effectiveness of 2 treatment selection strategies: stepped care and stratified care.

DESIGN, SETTING, AND PARTICIPANTS

This multisite, cluster randomized clinical trial recruited participants from the English National Health Service from July 5, 2018, to February 1, 2019. Thirty clinicians working across 4 psychological therapy services were randomly assigned to provide stratified (n = 15) or stepped (n = 15) care. In stepped care, patients sequentially access low-intensity guided self-help followed by high-intensity psychotherapy. In stratified care, patients are matched with either low- or high-intensity treatments at initial assessment. Data were analyzed from May 18, 2020, to October 13, 2021, using intention-to-treat principles.

INTERVENTIONS

All clinicians used the same interview schedule to conduct initial assessments with patients seeking psychological treatment for common mental disorders, but those in the stratified care group received a personalized treatment recommendation for each patient generated by a machine learning algorithm. Eligible patients received either stratified or stepped care (ie, treatment as usual).

MAIN OUTCOMES AND MEASURES

The preregistered outcome was posttreatment reliable and clinically significant improvement (RCSI) of depression symptoms (measured using the 9-item Patient Health Questionnaire). The RCSI outcome was compared between groups using logistic regression adjusted for baseline severity. Cost-effectiveness analyses compared incremental costs and health outcomes of the 2 treatment pathways.

RESULTS

A total of 951 patients were included (618 women among 950 with data available [65.1%]; mean [SD] age, 38.27 [14.53] years). The proportion of cases of RCSI was significantly higher in the stratified care arm compared with the stepped care arm (264 of 505 [52.3%] vs 134 of 297 [45.1%]; odds ratio, 1.40 [95% CI, 1.04-1.87]; P = .03). Stratified care was associated with a higher mean additional cost per patient (£104.5 [95% CI, £67.5-£141.6] [$139.83 (95% CI, $90.32-$189.48)]; P < .001) because more patients accessed high-intensity treatments (332 of 583 [56.9%] vs 107 of 368 [29.1%]; χ2 = 70.51; P < .001), but this additional cost resulted in an approximately 7% increase in the probability of RCSI.

CONCLUSIONS AND RELEVANCE

In this cluster randomized clinical trial of adults with common mental disorders, stratified care was efficacious and cost-effective for the treatment of depression symptoms compared with stepped care. Stratified care can improve depression treatment outcomes at a modest additional cost.

TRIAL REGISTRATION

isrctn.org Identifier: ISRCTN11106183.

Stepped care for the treatment of depression: a systematic review and meta-analysis

BACKGROUND

The Stepped Care Model (SCM) proposes a sequential approach in the treatment of depression, applying interventions of increasing intensity according to the level of severity of the individual.

METHODS

A systematic review was carried out until January 2020 in eight electronic databases. We included randomized (RCT) and non-randomized controlled trials comparing the SCM to usual non-sequential care.

RESULTS

Eighteen RCT with patients with confirmed or probable depression diagnosis were included. Meta-analyses yielded high heterogeneity, and subgroup analyses showed significant effects of the SCM only in studies with baseline moderately severe symptoms on average, compared to samples with mild/moderate depression. In the former subgroup, effects at 3-6 and 9-12 months were small for symptoms' reduction (g = -0.33, 95%CI: -0.55, -0.17 and -0.34, 95%CI: -0.53, -0.16) and moderate-to-strong in response and remission (Risk Ratios between 1.70-1.90). Overall, a significant benefit on quality of life was also observed (6 months: g = 0.31, 95%CI: 0.12, 0.49; 12 months: g = 0.18, 95%CI: 0.06, 0.31). More patients in the SCM groups were prescribed antidepressants at 6 months (RR = 1.31, 95%CI: 1.09, 1.57; I² = 87%).

LIMITATIONS

The search does not guarantee the identification of all the relevant literature. Most included studies show uncertain or high risk of bias.

CONCLUSIONS

The SCM seems to outperform usual care in populations with at least moderately severe symptoms on average. Results show high heterogeneity and future research should explore its sources.

Effectiveness of Evidence-Based Telecoaching Delivered Through an Employer-Sponsored Mental Health Benefits Platform

Background: Coaches delivering telemental health services as part of an employer-sponsored benefit may increase access to affordable and effective care. We examined the effectiveness of evidence-based telecoaching delivered via videoconferencing to people requesting mental health services during the coronavirus disease 2019 (COVID-19) pandemic. Materials and Methods: We analyzed data from 1,228 employees (mean age = 35 ± 8 years; 67.2% female) who utilized telecoaching through the Modern Health benefits platform between March 11, 2020 and March 11, 2021. We used paired samples t tests to examine changes in well-being, burnout, absenteeism, and presenteeism before and after telecoaching and moderated regressions to test whether these changes depended on visit utilization. We analyzed rates of clinical improvement for well-being and reduction from entry in symptoms for burnout. We conducted analyses in the full sample and participants presenting with elevated symptoms at baseline. Results: Participants utilized an average of 2.6 visits. Well-being (p = 0.02) significantly increased, while both presenteeism (p < 0.001) and absenteeism (p < 0.001) significantly decreased at follow-up in our full sample, but represented negligible effect sizes. Burnout was not found to have significantly changed at follow-up in our full sample (p = 0.69). In participants beginning care with elevated depressive-related symptoms, well-being significantly increased (p < 0.001) and 46.3% experienced a clinically relevant improvement. In participants beginning care with elevated levels of burnout, burnout significantly decreased (p < 0.001) and 20.9% experienced a reduction in symptoms from entry. Conclusions: Leveraging videoconferencing, telecoaching had positive effects on mental health and workplace outcomes, even during the COVID-19 pandemic. Evidence-based telecoaching represents a promising option for achieving optimal outcomes in people who need mental health services.

The effectiveness of brief cognitive analytic therapy for anxiety and depression: A quasi-experimental case-control study

OBJECTIVES

To investigate the effectiveness of an 8-session cognitive analytic therapy (CAT) protocol for patients with anxiety and depression in the context of relational problems, personality disorder traits, or histories of adverse childhood experiences and then to compare outcomes with cognitive behavioural therapy (CBT).

METHODS

The study was conducted in a single Improving Access to Psychological Therapies (IAPT) service and used sessional outcome monitoring. Propensity score matching was used to derive equivalent CAT (N = 76) and CBT (N = 73) samples through matching intake characteristics. Longitudinal multilevel modelling (LMLM) compared patterns of symptomatic change over time between the two therapies.

RESULTS

LMLM found no significant differences between CAT and CBT in depression, anxiety, and functional impairment outcomes and showed similar symptom change trajectories. Small between-therapy post-treatment effects and medium-to-large within-therapy effects were found. CAT patients attended significantly more sessions, and the CAT dropout rate was significantly lower.

CONCLUSIONS

Brief CAT appears acceptable and effective for patients with anxiety and depression in the context of complex relational problems when delivered within the high intensity tier of an IAPT service. The potential added value of CAT in IAPT services is discussed.

PRACTITIONER POINTS

Practitioners (under appropriate supervision) could use 8-session CAT when treating patients with anxiety and depression in the context of clinical complexity. The 8-session CAT model holds organizational promise in IAPT services. Brief CAT interventions should retain theoretical integrity.

Defining the Assessment and Treatment Competencies to Deliver Low-Intensity Cognitive Behavior Therapy: A Multi-Center Validation Study

Despite the vastly increased dissemination of the low-intensity (LI) version of cognitive behavior therapy (CBT) for the treatment of anxiety and depression, no valid and reliable indices of the LI-CBT clinical competencies currently exist. This research therefore sought to develop and evaluate two measures: the low-intensity assessment competency scale (LIAC) and the low-intensity treatment competency scale (LITC). Inductive and deductive methods were used to construct the competency scales and detailed rating manuals were prepared. Two studies were then completed. The first study used a quantitative, fully-crossed design and the second a multi-center, quantitative longitudinal design. In study one, novice, qualified, and expert LI-CBT practitioners rated an LI-CBT assessment session (using the LIAC) and an LI-CBT treatment session (using the LITC). Study two used the LIAC and LITC across four training sites to analyze the competencies of LI-CBT practitioners over time, across raters, and in relation to the actor/patients' feedback concerning helpfulness, the alliance, and willingness to return. Both the LIAC and LITC were found to be single factor scales with good internal, test-retest reliability and reasonable inter-rater reliability. Both measures were sensitive to measuring change in clinical competence. The LIAC had good concurrent, criterion, discriminant, and predictive validity, while the LITC had good concurrent, criterion, and predictive validity, but limited discriminant validity. A score of 18 accurately delineated a minimum level of competence in LI-CBT assessment and treatment practice, with incompetent practice associated with patient disengagement. These observational ratings scales can contribute to the clinical governance of the burgeoning use of LI-CBT interventions for anxiety and depression in routine services and also in the methods of controlled studies.

Relationship Between Diabetes, Stress, and Self-Management to Inform Chronic Disease Product Development: Retrospective Cross-Sectional Study

Background

Technology is rapidly advancing our understanding of how people with diabetes mellitus experience stress.

Objective

The aim of this study was to explore the relationship between stress and sequelae of diabetes mellitus within a unique data set composed of adults enrolled in a digital diabetes management program, Livongo, in order to inform intervention and product development.

Methods

Participants included 3263 adults under age 65 who were diagnosed with diabetes mellitus and had access to Livongo through their employer between June 2015 and August 2018. Data were collected at time of enrollment and 12 months thereafter, which included demographic information, glycemic control, presence of stress, diabetes distress, diabetes empowerment, behavioral health diagnosis, and utilization of behavioral health-related medication and services. Analysis of variance and chi-square tests compared variables across groups that were based on presence of stress and behavioral health diagnosis or utilization.

Results

Fifty-five percent of participants (1808/3263) reported stress at the time of at least 1 blood glucose reading. Fifty-two percent of participants (940/1808) also received at least 1 behavioral health diagnosis or intervention. Compared to their peers, participants with stress reported greater diabetes distress, lower diabetes empowerment, greater insulin use, and poorer glycemic control. Participants with stress and a behavioral health diagnosis/utilization additionally had higher body mass index and duration of illness.

Conclusions

Stress among people with diabetes mellitus is associated with reduced emotional and physical health. Digital products that focus on the whole person by offering both diabetes mellitus self-management tools and behavioral health skills and support can help improve disease-specific and psychosocial outcomes.

Does symptom severity matter in stepped and collaborative care for depression?

BACKGROUND

We investigated the differential effectiveness of a stepped and collaborative care model (SCM) vs. treatment as usual (TAU) for primary care patients with various depression severity degrees and explored whether subgroups received distinct evidence-based treatments.

METHODS

Subgroup analyses of a RCT were calculated applying a multiple linear mixed model with the factors 1. group (SCM; TAU), 2. severity ((mild-moderate (MMD); severe depression (SD)) and their interaction, with PHQ-9 as primary outcome. Utilization of treatments was analyzed descriptively.

RESULTS

For the 737 participating patients (SCM: n = 569; TAU: n = 168), availability of data substantially varies between subgroups at 12-month follow-up ranging between 37% and 70%. ITT-analysis (Last-observation-carried-forward) revealed a significant interaction for group x severity [p = 0.036] and a significant difference between groups in symptom reduction for MMD (-3.9; [95% CI: -5.1 to -2.6, p < 0.001; d = 0.64] but not for SD (-1.6; [95% CI: -3.4 to 0.2, p = 0.093; d = 0.27]. Sensitivity analyses (multiple imputation, completer analysis, pattern mixture model) didn`t confirm the interaction effect and showed significant effects for both severity groups with slightly higher effect sizes for MMD. Differences between SCM and TAU in the percentage of patients utilizing depression-specific treatments are larger for MMD.

LIMITATIONS

There was a high proportion of missing values among severely depressed patients, especially in SCM.

CONCLUSION

SCM is effective for both MMD and SD. Utilization patterns might help explain the higher effects for MMD. Various strategies of replacement of missing values lead to slightly divergent results due to selective drop out between severity groups.

Acceptability and Effectiveness of NHS-Recommended e-Therapies for Depression, Anxiety, and Stress: Meta-Analysis

Background

There is a disconnect between the ability to swiftly develop e-therapies for the treatment of depression, anxiety, and stress, and the scrupulous evaluation of their clinical utility. This creates a risk that the e-therapies routinely provided within publicly funded psychological health care have evaded appropriate rigorous evaluation in their development.

Objective

This study aims to conduct a meta-analytic review of the gold standard evidence of the acceptability and clinical effectiveness of e-therapies recommended for use in the National Health Service (NHS) in the United Kingdom.

Methods

Systematic searches identified appropriate randomized controlled trials (RCTs). Depression, anxiety, and stress outcomes at the end of treatment and follow-up were synthesized using a random-effects meta-analysis. The grading of recommendations assessment, development, and evaluation approach was used to assess the quality of each meta-analytic comparison. Moderators of treatment effect were examined using subgroup and meta-regression analysis. Dropout rates for e-therapies (as a proxy for acceptability) were compared against controls.

Results

A total of 24 studies evaluating 7 of 48 NHS-recommended e-therapies were qualitatively and quantitatively synthesized. Depression, anxiety, and stress outcomes for e-therapies were superior to controls (depression: standardized mean difference [SMD] 0.38, 95% CI 0.24 to 0.52, N=7075; anxiety and stress: SMD 0.43, 95% CI 0.24 to 0.63, n=4863), and these small effects were maintained at follow-up. Average dropout rates for e-therapies (31%, SD 17.35) were significantly higher than those of controls (17%, SD 13.31). Limited moderators of the treatment effect were found.

Conclusions

Many NHS-recommended e-therapies have not been through an RCT-style evaluation. The e-therapies that have been appropriately evaluated generate small but significant, durable, beneficial treatment effects.

Trial Registration

International Prospective Register of Systematic Reviews (PROSPERO) registration CRD42019130184; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=130184

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.

An integrated approach to meet the needs of high-vulnerable families: a qualitative study on integrated care from a professional perspective

BACKGROUND

To meet the needs of high-vulnerable families with severe and enduring problems across several life domains, professionals must improve their ability to provide integrated care timely and adequately. The aim of this study was to identify facilitators and barriers professionals encounter when providing integrated care.

METHODS

Experiences and perspectives of 24 professionals from integrated care teams in the Netherlands were gathered by conducting semi-structured interviews. A theory-driven framework method was applied to systematically code the transcripts both deductively and inductively.

RESULTS

There was a consensus among professionals regarding facilitators and barriers influencing their daily practice, leading to an in depth, thematic report of what facilitates and hinders integrated care. Themes covering the facilitators and barriers were related to early identification and broad assessment, multidisciplinary expertise, continuous pathways, care provision, autonomy of professionals, and evaluation of care processes.

CONCLUSIONS

Professionals emphasized the need for flexible support across several life domains to meet the needs of high-vulnerable families. Also, there should be a balance between the use of guidelines and a professional's autonomy to tailor support to families' needs. Other recommendations include the need to improve professionals' ability in timely stepping up to more intensive care and scaling down to less restrictive support, and to further our insight in risk factors and needs of these families.

Study protocol for a randomised controlled trial evaluating an evidence-based, stepped and coordinated care service model for mental disorders (RECOVER)

INTRODUCTION

Healthcare systems around the world are looking for solutions to the growing problem of mental disorders. RECOVER is the synonym for an evidence-based, stepped and cross-sectoral coordinated care service model for mental disorders. RECOVER implements a cross-sectoral network with managed care, comprehensive psychological, somatic and social diagnostics, crisis resolution and a general structure of four severity levels, each with assigned evidence-based therapy models (eg, assertive community treatment) and therapies (eg, psychotherapy). The study rationale is the investigation of the effectiveness and efficiency of stepped and integrated care in comparison to standard care.

METHODS AND ANALYSIS

The trial is conducted in accordance to the Standard Protocol Items: Recommendations for Interventional Trials Statement. The study aims to compare the RECOVER model with treatment as usual (TAU). The following questions are examined: Does RECOVER reduce healthcare costs compared with TAU? Does RECOVER improve patient-relevant outcomes? Is RECOVER cost-effective compared with TAU? A total sample of 890 patients with mental disorders will be assessed at baseline and individually randomised into RECOVER or TAU. Follow-up assessments are conducted after 6 and 12 months. As primary outcomes, cost reduction, improvement in symptoms, daily functioning and quality of life as well as cost-effectiveness ratios will be measured. In addition, several secondary outcomes will be assessed. Primary and secondary outcomes are evaluated according to the intention-to-treat principle. Mixed linear or logistic regression models are used with the direct maximum likelihood estimation procedure which results in unbiassed estimators under the missing-at-random assumption. Costs due to healthcare utilisation and productivity losses are evaluated using difference-in-difference regressions.

ETHICS AND DISSEMINATION

Ethical approval from the ethics committee of the Hamburg Medical Association has been obtained (PV5672). The results will be disseminated to service users and their families via the media, to healthcare professionals via professional training and meetings and to researchers via conferences and publications.

TRIAL REGISTRATION NUMBER AND REGISTRY NAME

ClinicalTrials.gov (NCT03459664), RECOVER PROTOCOL VERSION: 19 March 2020 (V.3.0).

Recognition of personality disorder and anxiety disorder comorbidity in patients treated for depression in secondary psychiatric care

OBJECTIVES

Depression is a common illness with substantial economic consequences for society and a great burden for affected individuals. About 30% of patients with depression do not respond to repeated treatments. Psychiatric comorbidity is known to affect duration, recurrence and treatment outcome of depression. However, there is a lack of knowledge on the extent to which psychiatric comorbidity is identified in the clinical setting for depressed patients in secondary psychiatric care. Therefore, the aim of this study was to compare the agreement between traditional diagnostic assessment (TDA) and a structured and comprehensive diagnostic procedure (SCDP) for identification of personality and anxiety disorder comorbidity in depressed patients in secondary psychiatric care.

METHODS

274 patients aged 18-77 were referred from four secondary psychiatric care clinics in Sweden during 2012-2017. ICD-10 diagnoses according to TDA (mostly unstructured by psychiatric specialist and residents in psychiatry), were retrieved from medical records and compared to diagnoses resulting from the SCDP in the study. This included the Mini International Neuropsychiatric Interview, the Structured Interview for DSM Axis II Personality Disorders and semi-structured questions on psychosocial circumstances, life-events, psychiatric symptoms, psychiatric treatments, substance use, and suicidal and self-harm behaviour. The assessment was carried out by psychiatric specialists or by residents in psychiatry with at least three years of psychiatric training.

RESULTS

SCDP identified personality disorder comorbidity in 43% of the patients compared to 11% in TDA (p<0,0001). Anxiety disorder comorbidity was identified in 58% with SCDP compared to 12% with TDA (p<0,0001).

CONCLUSIONS

Important psychiatric comorbidity seems to be unrecognized in depressive patients when using TDA, which is routine in secondary psychiatric care. Comorbidities are better identified using the proposed model involving structured and semi-structured interviews together with clinical evaluations by clinical experts.

Study protocol for the COMET study: a cluster-randomised, prospective, parallel-group, superiority trial to compare the effectiveness of a collaborative and stepped care model versus treatment as usual in patients with mental disorders in primary care

INTRODUCTION

Mental healthcare is one of the biggest challenges for healthcare systems. Comorbidities between different mental disorders are common, and patients suffer from a high burden of disease. While the effectiveness of collaborative and stepped care models has been shown for single disorders, comorbid mental disorders have rarely been addressed in such care models. The aim of the present study is to evaluate the effectiveness of a collaborative and stepped care model for depressive, anxiety, somatoform and alcohol use disorders within a multiprofessional network compared with treatment as usual.

METHODS AND ANALYSIS

In a cluster-randomised, prospective, parallel-group superiority trial, n=570 patients will be recruited from primary care practices (n=19 practices per group). The intervention is a newly developed collaborative and stepped care model in which patients will be treated using treatment options of various intensities within an integrated network of outpatient general practitioners, psychiatrists, psychotherapists and inpatient institutions. It will be compared with treatment as usual with regard to effectiveness, cost-effectiveness and feasibility, with the primary outcome being a change in mental health-related quality of life from baseline to 6 months. Patients in both groups will undergo an assessment at baseline, 3, 6 and 12 months after study inclusion.

ETHICS AND DISSEMINATION

The study has been approved by the ethics committee of the Hamburg Medical Association (No. PV5595) and will be carried out in accordance with the principles of the Declaration of Helsinki. For dissemination, the results will be published in peer-reviewed journals and presented at conferences. Within the superordinate research project Hamburg Network for Health Services Research, the results will be communicated to relevant stakeholders in mental healthcare.

TRIAL REGISTRATION NUMBER

NCT03226743.

Smooth Sailing: A Pilot Study of an Online, School-Based, Mental Health Service for Depression and Anxiety

Background: Schools play an important role in supporting young people's mental health, but face challenges identifying and responding to students in need of care. To assist secondary schools, the Black Dog Institute has developed an online, school-based, mental health service (Smooth Sailing). Delivered in the classroom, Smooth Sailing uses a website to screen, assess, allocate, and deliver care for depression and anxiety. The service is based on the principles of stepped care, offering treatments with varied intensity and follow-up by a school counselor when necessary. The current study aimed to evaluate the feasibility, acceptability, and safety of this new type of service among secondary school students. Methods: Between February and June 2017, a single-arm, pre-post, pilot study was conducted among students from four NSW secondary schools. Schools were given access to the service for 6 weeks. Feasibility measures (consent rates and step allocations), acceptability measures (service use and satisfaction) and safety measures (deterioration in help-seeking intention scores and mental health symptoms) were assessed at baseline and completion of the 6-week trial period. Results: A total of 59 students took part in the service pilot (mean age, 14.57 years; SD, 0.89 years; range, 13-16 years). At baseline, 18.64% of students were found to require follow-up from the school counselor, and 80% of these were new cases. Although completion of the online modules was low, service satisfaction was high. At 6 weeks, the mean scores for help-seeking, depression, and anxiety remained relatively stable or improved. Conclusions: The current study presents important findings for the development and implementation of an online mental health service that screens students' mental health and allocates care accordingly, all within the school setting. Although the findings provide some support for the feasibility, acceptability, and safety, service improvements are needed. The modifications outlined are likely to improve the quality of the service and its effectiveness. Trial Registration: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12617000977370.

Evaluation of a Sudarshan Kriya Yoga (SKY) based breath intervention for patients with mild-to-moderate depression and anxiety disorders

Aim

Research identifies a need for expanded therapeutic options for people with mild-to-moderate depression and anxiety disorders treated within the UK National Health Service (NHS). We aimed to examine potential benefits of a Sudarshan Kriya Yoga (SKY) based breath intervention delivered in this context.

Background

SKY is a structured programme derived from yoga in which participants are taught relaxation and stress-management techniques including body postures, breathing exercises and cognitive-behavioural procedures. Previous research has demonstrated benefits for patients with clinical and non-clinical depression and anxiety. However, SKY has not yet been evaluated as a therapeutic option for patients accessing NHS primary care mental health services.

Methods

We evaluated an existing programme available to NHS patients in South East England. The intervention is community-based and delivered via four weekly ‘stress buster sessions’ (1-h duration), one weekend intensive workshop (2.5 days) and four weekly (90 min) follow-up sessions. Analyses were conducted on existing data [measures of depression (Patient Health Questionnaire-9) and anxiety (generalised anxiety disorder-7)] collected as part of routine care, at the start of the programme and three follow-up assessments.

Findings

Baseline data were available for 991 participants, of which 557 (56.2%) attended at least three weekly workshops, 216 (21.8%) attended the weekend workshop and 169 (17.1%) completed the programme. Statistically significant (P<0.05) improvements in depression and anxiety were observed in all three outcome assessments. Clinically meaningful change was observed for 74.6% of participants completing the programme. Findings indicate that SKY has the potential to benefit patient outcomes and could be offered more widely as a therapeutic option. We recommend further research to explore patients’ experiences of the programme, determine the number of sessions necessary for improvement/ recovery, define the population most likely to respond and examine potential cost savings (e.g., reductions in antidepressant prescribing/referrals to secondary care).

Impact of a progressive stepped care approach in an improving access to psychological therapies service: An observational study

England's national Improving Access to Psychological Therapies (IAPT) programme advocates stepped care as its organizational delivery of psychological therapies to common mental health problems. There is limited evidence regarding the efficacy of stepped care as a service delivery model, heterogeneity of definition and differences in model implementation in both research and routine practice, hence outcome comparison in terms of effectiveness of model is difficult. Despite sound evidence of the efficacy of low intensity interventions there appears to be a perpetuation of the notion that severity and complexity should only be treated by a high intensity intervention through the continuation of a stratified care model. Yet no psychotherapy treatment is found to be more superior to another, and not enough is known about what works for whom to aid the matching of treatment decision. In the absence of understanding precise treatment factors optimal for recovery, it may be useful to better understand the impact of a service delivery model, and whether different models achieve different outcomes. This study aims to contribute to the discussion regarding the stepped care definition and delivery, and explores the impact on clinical outcomes where different types of stepped care have been implemented within the same service. An observational cohort study analysed retrospective data (n = 16,723) over a 4 year period, in a single IAPT service, where delivery changed from one type of stepped care model to another. We compared the outcomes of treatment completers with a stratified care model and a progression care model. We also explored the assumption that patients who score severe on psychological measures, and therefore are potentially complex, would achieve better outcomes in a stratified model. Outcomes in each model type were compared, alongside baseline factor variables. A significant association was observed between a recovery outcome and model type, with patients 1.5 times more likely to recover in the progression delivery model. The potential implications are that with a progression stepped care model of service delivery, more patients can be treated with a lower intensity intervention, even with initial severe presentations, ensuring that only those that need high intensity CBT or equivalent are stepped up. This could provide services with an effective clinical model that is efficient and potentially more cost effective.

Management of comorbid mental and somatic disorders in stepped care approaches in primary care: a systematic review

BACKGROUND

Stepped care models comprise a graded treatment intensity and a systematic monitoring. For an effective implementation, stepped care models have to account for the high rates of mental and somatic comorbidity in primary care.

OBJECTIVES

The aim of the systematic review was to take stock of whether present stepped care models take comorbidities into consideration. A further aim was to give an overview on treatment components and involved health care professionals.

METHODS

A systematic literature search was performed using the databases PubMed, PsycINFO, Cochrane Library and Web of Science. Selection criteria were a randomized controlled trial of a primary-care-based stepped care intervention, adult samples, publication between 2000 and 2017 and English or German language.

RESULTS

Of 1009 search results, 39 studies were eligible. One-third of the trials were conceived for depressive disorders only, one-third for depression and further somatic and/or mental comorbidity and one-third for conditions other than depression. In 39% of the studies comorbidities were explicitly integrated in treatment, mainly via transdiagnostic self-management support, interprofessional collaboration and digital approaches for treatment, monitoring and communication. Most care teams were composed of a primary care physician, a care manager and a psychiatrist and/or psychologist. Due to the heterogeneity of the addressed disorders, no meta-analysis was performed.

CONCLUSIONS

Several stepped care models in primary care already account for comorbidities, with depression being the predominant target disorder. To determine their efficacy, the identified strategies to account for comorbidities should be investigated within stepped care models for a broader range of disorders.

[Clinical trial of a stepped and collaborative care model for mental illnesses and comorbidities in the Hamburg Network for Health Services Research]

Healthcare for mental disorders is a big challenge for the German healthcare system. In cases of comorbid mental diseases, patients suffer from an especially high burden of disease. So far, innovative care models for collaborative and stepped care have only been investigated with respect to their effectiveness for single mental disorders.The project "Collaborative and Stepped Care in Mental Health by Overcoming Treatment Sector Barriers" (COMET), which is being carried out by the Hamburg Network for Health Services Research (HAM-NET) from 2017 until 2020, examines an innovative, guideline-based healthcare model for the improvement of healthcare for patients with mental illnesses and their potential comorbidities. In this article this new stepped and collaborative care model for patients in primary care that integrates general practitioners, psychiatrists, psychotherapists, and hospitals is presented. For the implementation and facilitation of the model, guideline-based treatment pathways, a tablet-based computer program for screening, diagnostic and guideline-based treatment recommendations, as well as a web-based transferal platform were developed.The results of this project on the effectiveness and efficacy of the model can help determine if the model can be implemented in routine healthcare. This could represent a major step towards more integrated and cross-sectoral healthcare for patients with mental illnesses.

The cost-utility of stepped-care algorithms according to depression guideline recommendations - Results of a state-transition model analysis

BACKGROUND

Evidence-based clinical guidelines for major depressive disorder (MDD) recommend stepped-care strategies for sequencing evidence-based treatments conditional on treatment outcomes. This study aims to evaluate the cost-effectiveness of stepped care as recommended by the multidisciplinary clinical guideline vis-à-vis usual care in the Netherlands.

METHODS

Guideline-congruent care as described in stepped-care algorithms for either mild MDD or moderate and severe MDD was compared with usual care in a health-economic state-transition simulation model. Incremental costs per QALY gained were estimated over five years from a healthcare perspective.

RESULTS

For mild MDD, the cost-utility analysis showed a 67% likelihood of better health outcomes against lower costs, and 33% likelihood of better outcomes against higher costs, implying dominance of guideline-congruent stepped care. For moderate and severe MDD, the cost-utility analysis indicated a 67% likelihood of health gains at higher costs following the stepped-care approach and 33% likelihood of health gains at lower costs, with a mean ICER of about €3,200 per QALY gained. At a willingness to pay threshold of €20,000 per QALY, the stepped-care algorithms for both mild MDD and moderate or severe MDD is deemed cost-effective compared to usual care with a greater than 95% probability.

LIMITATIONS

The findings of our decision-analytic modelling are limited by the accuracy and availability of the underlying evidence. This hampers taking into account all individual differences relevant to optimise treatment to individual needs.

CONCLUSIONS

It is highly likely that guideline-congruent stepped care for MDD is cost-effective compared to usual care. Our findings support current guideline recommendations.