Web-based interventions for comorbid depression and chronic illness: a systematic review

The Effectiveness of Low-Intensity Psychological Interventions for Comorbid Depression and Anxiety in Patients with Long-Term Conditions: A Real-World Naturalistic Observational Study in IAPT Integrated Care

BACKGROUND

Low-intensity psychological interventions may be a cost-effective, accessible solution for treating depression and anxiety in patients with long-term conditions, but evidence from real-world service settings is lacking. This study examined the effectiveness of low-intensity psychological interventions provided in the Improving Access to Psychological Therapies programme in England for patients with and without long-term conditions.

METHODS

A retrospective analysis was conducted on patients (total N = 21,051, long-term conditions n = 4024) enrolled in three low-intensity psychological interventions, i.e. Internet-delivered cognitive behavioural therapy (iCBT), guided self-help (GSH), and psychoeducational group therapy (PGT) within a Talking Therapies service from 2016 to 2020. Primary outcomes included pre-post-treatment changes in depression (Patient Health Questionnaire-9) and anxiety (Generalised Anxiety Disorder-7).

RESULTS

Overall, both cohorts significantly improved on all outcomes post-treatment, with large effect sizes. Patients with long-term conditions experienced a greater reduction in depression while those without experienced a greater reduction in anxiety, but these differences were marginal (< 1 score difference on both measures). No difference between the cohorts was shown when comparing the differential effectiveness across interventions, but those engaging in iCBT showed greater reduction in depression and anxiety than those in GSH and PGT, while those in GSH improved more than PGT.

CONCLUSIONS

Low-intensity psychological interventions, particularly iCBT, were effective in treating depression and anxiety in patients with long-term conditions in a real-world service setting. Our large-scale study supports the continued and increased implementation of low-intensity psychological interventions for this subpopulation via integrated care.

Internet-based Cognitive-behavioral therapy (CBT) for depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study): A randomized controlled trial protocol

Background

Professionals need adequate tools to help patients with diabetes and depression. Although web programs integrating cognitive-behavioral therapy with diabetes education have shown good results, no similar approach has been performed as yet in Spain. The objective is to develop an Internet-based program for the treatment of mild-moderate depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study) based on Cognitive-behavioral therapy (CBT) and assess its results.

Methods

A 2-arm randomized controlled trial will be conducted. Adults with type 1 diabetes and mild-moderate depressive symptoms will be screened to participate in the study and randomly assigned to either the treatment group (TG) that will use a Web-based application for a specific 9-week intervention in depression and type 1 diabetes or the control group (CG) that will be on the waiting list during that time.

Results

Data on the primary variable (depressive symptoms) and secondary variables (treatment-related distress, anxiety, fear of hypoglycemia, quality of life, treatment adherence, coping strategies and glycemic control) will be collected from the TG at the beginning/baseline, at the end of treatment and at 3, 6 and 12 months after treatment. The CG will be assessed at the beginning and at the end of the TG intervention. On completion of the program by the TG, the treatment will then be carried out in the CG.

Conclusions

The new web application developed is expected to be effective for the treatment of mild-moderate depressive symptoms in adults with type 1 diabetes, reducing depressive symptoms and improving the rest of the analyzed variables.

Trial registration

Registry: NCT03473704 (March 21, 2018); ClinicalTrials.gov.

The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: A multicentre, pragmatic randomised controlled trial

Background

This study assessed the effectiveness of the NEVERMIND e-health system, consisting of a smart shirt and a mobile application with lifestyle behavioural advice, mindfulness-based therapy, and cognitive behavioural therapy, in reducing depressive symptoms among patients diagnosed with severe somatic conditions. Our hypothesis was that the system would significantly decrease the level of depressive symptoms in the intervention group compared to the control group.

Methods

This pragmatic, randomised controlled trial included 425 patients diagnosed with myocardial infarction, breast cancer, prostate cancer, kidney failure, or lower limb amputation. Participants were recruited from hospitals in Turin and Pisa (Italy), and Lisbon (Portugal), and were randomly assigned to either the NEVERMIND intervention or to the control group. Clinical interviews and structured questionnaires were administered at baseline, 12 weeks, and 24 weeks. The primary outcome was depressive symptoms at 12 weeks measured by the Beck Depression Inventory II (BDI-II). Intention-to-treat analyses included 425 participants, while the per-protocol analyses included 333 participants. This trial is registered in the German Clinical Trials Register, DRKS00013391.

Findings

Patients were recruited between Dec 4, 2017, and Dec 31, 2019, with 213 assigned to the intervention and 212 to the control group. The sample had a mean age of 59·41 years (SD=10·70), with 44·24% women. Those who used the NEVERMIND system had statistically significant lower depressive symptoms at the 12-week follow-up (mean difference=-3·03, p<0·001; 95% CI -4·45 to -1·62) compared with controls, with a clinically relevant effect size (Cohen's d=0·39).

Interpretation

The results of this study show that the NEVERMIND system is superior to standard care in reducing and preventing depressive symptoms among patients with the studied somatic conditions.

Funding

The NEVERMIND project received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 689691.

Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review

BACKGROUND

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

OBJECTIVE

To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.

METHODS

We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.

RESULTS

Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.

CONCLUSIONS

Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.

Identifying and Managing Suicidality in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Adult patients affected by myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) are at an increased risk of death by suicide. Based on the scientific literature and our clinical/research experiences, we identify risk and protective factors and provide a guide to assessing and managing suicidality in an outpatient medical setting. A clinical case is used to illustrate how information from this article can be applied. Characteristics of ME/CFS that make addressing suicidality challenging include absence of any disease-modifying treatments, severe functional limitations, and symptoms which limit therapies. Decades-long misattribution of ME/CFS to physical deconditioning or psychiatric disorders have resulted in undereducated healthcare professionals, public stigma, and unsupportive social interactions. Consequently, some patients may be reluctant to engage with mental health care. Outpatient medical professionals play a vital role in mitigating these effects. By combining evidence-based interventions aimed at all suicidal patients with those adapted to individual patients' circumstances, suffering and suicidality can be alleviated in ME/CFS. Increased access to newer virtual or asynchronous modalities of psychiatric/psychological care, especially for severely ill patients, may be a silver lining of the COVID-19 pandemic.

Digital health interventions for the management of mental health in people with chronic diseases: a rapid review

OBJECTIVE

Determine the effectiveness of digital mental health interventions for individuals with a concomitant chronic disease.

DESIGN

We conducted a rapid review of systematic reviews. Two reviewers independently conducted study selection and risk of bias evaluation. A standardised extraction form was used. Data are reported narratively.

INTERVENTIONS

We included systematic reviews of digital health interventions aiming to prevent, detect or manage mental health problems in individuals with a pre-existing chronic disease, including chronic mental health illnesses, published in 2010 or after.

MAIN OUTCOME MEASURE

Reports on mental health outcomes (eg, anxiety symptoms and depression symptoms).

RESULTS

We included 35 reviews, totalling 702 primary studies with a total sample of 50 692 participants. We structured the results in four population clusters: (1) chronic diseases, (2) cancer, (3) mental health and (4) children and youth. For populations presenting a chronic disease or cancer, health provider directed digital interventions (eg, web-based consultation, internet cognitive-behavioural therapy) are effective and safe. Further analyses are required in order to provide stronger recommendations regarding relevance for specific population (such as children and youth). Web-based interventions and email were the modes of administration that had the most reports of improvement. Virtual reality, smartphone applications and patient portal had limited reports of improvement.

CONCLUSIONS

Digital technologies could be used to prevent and manage mental health problems in people living with chronic conditions, with consideration for the age group and type of technology used.

Depression in multiple sclerosis: Is one approach for its management enough?

BACKGROUND

Major depression disorder (MDD) and severe depression symptoms are highly prevalent in multiple sclerosis (MS). Depression can worsen symptoms of MS and is associated with significantly reduced quality of life and increased risk of suicide. Currently, there is no gold-standard, single treatment available for depression in MS. Pharmacotherapy, cognitive behavior therapy (CBT), and exercise training individually are moderately, yet incompletely, efficacious for managing depression in the general population and MS.

PURPOSE

This review provides an overview of evidence from meta-analyses and systematic reviews for current treatments of depression in persons with MS. This review further develops the rationale for using a combinatory treatment approach in persons with MS.

METHODS

We performed a narrative review of meta-analyses and systematic reviews regarding the current state of evidence for the three most common treatments of depression in persons with MS (i.e., antidepressant medication, cognitive-behavior therapy, and exercise training). We provide a concise assessment of the overall effect of these treatments on depression in the general population and then persons with MS. We further note short-comings of research on these treatments for depression.

CONCLUSION

There is no single, gold-standard treatment for depression in MS, and we proposed that combinatory treatments should be considered for the management of depression in MS. However, there is a paucity of evidence for the use of combinatory therapy on depression and its outcomes in persons with MS, and this supports direct examination of the feasibility and efficacy of such combinatory approaches for MDD in MS.

A call for better understanding of social media in surveillance and management of noncommunicable diseases

Using social media for health purposes has attracted much attention over the past decade. Given the challenges of population ageing and changes in national health profile and disease patterns following the epidemiologic transition, researchers and policy-makers should pay attention to the potential of social media in chronic disease surveillance, management and support. This commentary overviews the evidence base for this inquiry and outlines the key challenges to research laying ahead. The authors provide concrete suggestions and recommendations for developing a research agenda to guide future investigation and action on this topic.

Technology-Delivered Psychotherapeutic Interventions in Improving Depressive Symptoms Among People with HIV/AIDS: A Systematic Review and Meta-analysis of Randomised Controlled Trials

With the increasing popularity of advanced technology, technology-delivered psychotherapeutic interventions (TPIs) may play a promising role in improving depressive symptoms among PLWHA. However, its effectiveness remains unclear. We aimed to synthesise the evidence of the effectiveness of TPIs in improving depressive symptoms of PLWHA using a meta-analytic approach. Seven databases were systematically searched for randomised controlled trials (RCTs) from the inception until August 14, 2018. Random-effects meta-analysis was adopted to assess effect size. Cochran's Q test and I² were used to investigate the problem of heterogeneity. Sensitivity, subgroup analyses and meta-regression were performed. Of the 43,048 records identified, 14 RCTs were included. The meta-analysis revealed a small effect on reducing depressive symptom scores (d = 0.23, 95% CI - 0.39 to - 0.06) after TPIs. Random-effects meta-regression showed that publication year was a significant moderator (p = 0.013), whereby the latest trials had larger effect size in reducing the depressive symptoms than earlier trials. Our review suggested a possible future approach of utilising TPIs by means of mobile applications and internet-based interventions for PLWHA to reduce their depressive symptoms. This review highlighted the essential key features in designing future TPIs. The overall low-quality evidence suggested the need to conduct further high-quality.

Towards Scalable, Integrative Assessment of Children's Self-Regulatory Capabilities: New Applications of Digital Technology

The assessment of self-regulation in children is of significant interest to researchers within education, clinical and developmental psychology, and clinical neuroscience, given its importance to adaptive functioning across a wide range of social, educational, interpersonal, educational and health domains. Because self-regulation is a complex, multidimensional construct, a range of assessment approaches have been developed to assess its various components including behavioural, cognitive and emotional domains. In recent years, digital technology has been increasingly used to enhance or supplement existing measurement approaches; however, developments have predominantly focused on translating traditional testing paradigms into digital formats. There is a need for more innovation in digital psychological assessments that harness modern mechanisms such as game-based design and interactivity. Such approaches have potential for the development of scalable, adaptable universal approaches to screening and assessment of children's self-regulatory capabilities, to facilitate early identification of difficulties in individuals and also guide planning and decision-making at a population level. We highlight a novel, innovative digital assessment tool for children called Rumble's Quest, a new measure of children's socio-emotional functioning that shows promise as an integrative assessment of well-being and self-regulation, and which incorporates both self-report and direct assessment of cognitive self-regulation. This tool is scalable, can be integrated into normal classroom activities, and forms part of a comprehensive prevention support system that can be used to guide stakeholders' decision-making regarding early intervention and support at the individual, classroom, school and community level. We finish by discussing other innovative possibilities for psychological assessment with children, using new and emerging technologies and assessment approaches.

Computerized Cognitive Behavioral Therapy for Treatment of Depression in Multiple Sclerosis: A Narrative Review of Current Findings and Future Directions

Depression is common in multiple sclerosis (MS), affecting up to 50% of patients at some point in their lifetime. Although the rate of depression in MS is higher than that in the general population and that in patients with other chronic medical conditions, depression in MS is underdiagnosed and undertreated. Antidepressant agents are used empirically in the management of MS-related depression, but evidence specifically demonstrating the efficacy of these medications in patients with MS is sparse. Considerable work suggests that psychological interventions such as cognitive behavioral therapy (CBT) may be effective in the management of depression in MS. Recently there has been an expansion of computerized adaptations of CBT, allowing patients to complete therapy sessions remotely via online programs. This article reviews our current understanding of depression in MS and the role of CBT in its management, focusing on recent developments in computerized formats for CBT. Four computerized CBT programs that have been previously tested in patients with MS are described: Deprexis, MoodGYM, Beating the Blues, and MS Invigor8. We conclude that despite challenges inherent to computerized CBT interventions, such platforms have the potential to positively affect mental health care delivery to the MS patient population.

Internet- Based Interventions in Chronic Somatic Disease

BACKGROUND

Clinical guidelines recommend psychosocial care as an integral part of medical treatment, but access is often limited. Technology-based approaches provide an attractive opportunity to optimize health outcomes and quality of life in people with chronic somatic diseases e.g. by means of Internet- and mobile-based interventions (IMIs). The present article provides an overview on the basics of IMIs, applications and their evidence base for people living with chronic somatic diseases.

METHODS

We conducted a selective literature search in the PubMed and Cochrane databases. Reviews which included randomized controlled trials investigating psychological IMIs were discussed pertaining to their relevance for the population described.

RESULTS

IMIs lead to a change in unfavorable behavior connected to chronic somatic diseases. IMIs can foster protective factors like balanced physical activity or risk factors like smoking or alcohol consumption. However, studies reveal small effect sizes of d=0.25 for physical activity and an averaged effect size of d=0.20 for smoking and alcohol consumption. Additionally, IMIs can be used for the (co-)treatment of chronic somatic diseases, for instance to increase disease-specific selfefficacy in patients with diabetes (d=0.23). Studies included in meta-analyses are often highly heterogenous and are investigated in research contexts with limited health care services relevance.

CONCLUSION

IMIs are potentially effective when aiming at lifestyle changes and supporting medical treatment in people with chronic somatic diseases. However, results are still heterogenous and the evidence base is limited regarding specific settings, compounding the discussion of possible ways of implementing IMIs into our healthcare systems.

Acceptance and Commitment Therapy for Muscle Disease (ACTMus): protocol for a two-arm randomised controlled trial of a brief guided self-help ACT programme for improving quality of life in people with muscle diseases

INTRODUCTION

In adults, muscle disease (MD) is often a chronic long-term condition with no definitive cure. It causes wasting and weakness of the muscles resulting in a progressive decline in mobility, alongside other symptoms, and is typically associated with reduced quality of life (QoL). Previous research suggests that a psychological intervention, and in particular Acceptance and Commitment Therapy (ACT), may help improve QoL in MD. ACT is a newer type of cognitive behavioural treatment that aims to improve QoL by virtue of improvement in a process called psychological flexibility. The primary aim of this randomised controlled trial (RCT) is to evaluate the efficacy of a guided self-help ACT programme for improving QoL in people with MD. Main secondary outcomes are mood, symptom impact, work and social adjustment and function at 9-week follow-up.

METHODS AND ANALYSIS

Acceptance and Commitment Therapy for Muscle Disease is an assessor-blind, multicentre, two-armed, parallel-group RCT to assess the efficacy of ACT plus standard medical care (SMC) compared with SMC alone. Individuals with a diagnosis of one of four specific MDs, with a duration of at least 6 months and with mild to moderate anxiety or depression (Hospital Anxiety and Depression Scale score ≥8) will be recruited from UK-based MD clinics and MD patient support organisations. Participants will be randomised to either ACT plus SMC or SMC alone by an independent randomisation service. Participants will be followed up at 3, 6 and 9 weeks. Analysis will be intention to treat, conducted by the trial statistician who will be blinded to treatment allocation.

ETHICS AND DISSEMINATION

The study has received full ethical approval. Study results will be disseminated via peer-reviewed publications, conference presentations and journal articles. Data obtained from the trial will enable clinicians and health service providers to make informed decisions regarding the efficacy of ACT for improving QoL for patients with MD.

TRIAL REGISTRATION NUMBER

NCT02810028.

PROTOCOL VERSION

V.11 (4 April 2017).

Web-Based Interventions for Depression in Individuals with Diabetes: Review and Discussion

Background

Depression is twice as common in people with diabetes, and this comorbidity worsens the course of both pathologies. In clinical practice guidelines, screening and treatment of depression in patients with diabetes are highly recommended. However, depression is still both underrecognized and undertreated. To find ways to enhance their reach, psychological treatments have taken advantage of benefits of internet and technological devices as delivery formats, providing interventions that require considerably less (or even no) interaction time with therapists. Web-based treatments hold promise for effective interventions at low cost with positive results.

Objective

The objectives of this review were to describe Web-based interventions for depression in individuals with diabetes and to discuss these studies’ procedures and findings in light of evidence from a wider range of interventions for depression and diabetes.

Methods

A comprehensive literature search was conducted in PsycINFO and MEDLINE electronic databases. Studies were included when they met the following selection criteria: the study was available in a peer-reviewed journal mainly publishing studies written in either English or Spanish; the studied sample comprised individuals with diabetes; the intervention targeted depression symptomatology; the intervention was accessible via the internet; and the intervention was accessible via the internet with little or no clinician support.

Results

Overall, 5 research studies were identified in the review. All studies were randomized controlled trials, and most used a wait list as a control; 4 studies reported treatment dropout, rates of which varied from 13% to 42%. Studies supported the notion that the Web-based format is a suitable psychology service delivery option for diabetic individuals with depression (effect size range for completers 0.7-0.89). Interventions varied in their characteristics but most were clinical-assisted, had a cognitive behavioral therapy approach, used diabetes-specific topics, had a weekly modular display, used homework assignments, and had some adherence management strategy. These characteristics are consistent with the intervention features associated with positive results in the literature.

Conclusions

The analyzed studies’ findings and procedures are discussed in light of evidence drawn from a wider range of reviews on Web-based interventions for depression and diabetes. Consistent with previous research on depression treatment, Web-based interventions for depression among individuals with diabetes have shown positive results. Future research should contribute new evidence as to why these interventions are effective, for whom, and which particular aspects can increase patients’ adherence.

Self-guided interventions for managing psychological distress in people with cancer - A systematic review

OBJECTIVE

People with cancer can experience psychological distress but do not always desire, or engage with, professional support to assist with managing distress. Interventions that are self-directed or guided by patients may hold promise as they allow patients to engage with interventions as they need. The objective of this review is to describe and appraise the evidence for effectiveness of self-guided interventions that aim to manage psychological distress in people with cancer.

METHODS

A systematic search of Medline, PsychInfo and CINAHL identified 15 relevant papers, reporting on 14 studies.

RESULTS

Of the interventions, three studies comprised hard-copy workbooks, six studies used resource packs, four were online resources and one was a brief multimedia resource. One study was adequately powered and demonstrated a positive effect. Almost all interventions required some level of facilitation. Distressed participants may benefit more from interventions.

CONCLUSION

Self-guided interventions represent a potentially efficient way of delivering support for people affected by cancer, however evidence supporting them is lacking.

PRACTICE IMPLICATIONS

There is a need to generate evidence to understand the impact of self-guided interventions for: i) the ideal delivery point in the disease trajectory, ii) patient groups, iii) intervention content and iv) type and mode of delivery.

Internet-based treatment for depression in multiple sclerosis: A randomized controlled trial

Background:

Depression in multiple sclerosis (MS) patients is common but may stay untreated. Physical limitations impede face-to-face treatment. Internet-based treatment is therefore a promising tool for treating depression in MS.

Objectives:

To investigate effectiveness of a guided Internet-based problem-solving treatment (IPST) for depressed MS patients.

Methods:

MS patients with moderate or severe depressive symptoms were randomly assigned to IPST or a wait list control. Primary outcome was the change in depressive symptoms defined by a change in sum score on the Beck Depression Inventory Second Edition (BDI-II). Assessments took place at baseline (T0), within a week after the intervention (T1), and at 4 months follow-up (T2). Analyses were based on the intention-to-treat principle.

Results:

A total of 171 patients were randomized to IPST ( n = 85) or a wait list control ( n = 86). T1 was completed by 152 (89%) and T2 by 131 patients (77%). The IPST group and wait list control showed large significant improvements in depressive symptoms, but no differences were found between groups at T1 ( d = 0.23; 95% confidence interval (CI) = (−4.03, 1.08); p = 0.259) and T2 ( d = 0.01; 95% CI = (−2.80, 2.98); p = 0.953).

Conclusion:

We found no indication that IPST for MS patients with moderate or severe depression is effective in reducing depressive symptoms compared to a waiting list. Large improvements in the wait list control were unexpected and are discussed.