E-Health interventions for anxiety and depression in children and adolescents with long-term physical conditions

Digital Behavior Change Interventions for Younger Children With Chronic Health Conditions: Systematic Review

Background

The prevalence of chronic health conditions in childhood is increasing, and behavioral interventions can support the management of these conditions. Compared with face-to-face treatment, the use of digital interventions may be more cost-effective, appealing, and accessible, but there has been inadequate attention to their use with younger populations (children aged 5-12 years).

Objective

This systematic review aims to (1) identify effective digital interventions, (2) report the characteristics of promising interventions, and (3) describe the user’s experience of the digital intervention.

Methods

A total of 4 databases were searched (Excerpta Medica Database [EMBASE], PsycINFO, Medical Literature Analysis and Retrieval System Online [MEDLINE], and the Cochrane Library) between January 2014 and January 2019. The inclusion criteria for studies were as follows: (1) children aged between 5 and 12 years, (2) interventions for behavior change, (3) randomized controlled trials, (4) digital interventions, and (5) chronic health conditions. Two researchers independently double reviewed papers to assess eligibility, extract data, and assess quality.

Results

Searches run in the databases identified 2643 papers. We identified 17 eligible interventions. The most promising interventions (having a beneficial effect and low risk of bias) were 3 targeting overweight or obesity, using exergaming or social media, and 2 for anxiety, using web-based cognitive behavioral therapy (CBT). Characteristics of promising interventions included gaming features, therapist support, and parental involvement. Most were purely behavioral interventions (rather than CBT or third wave), typically using the behavior change techniques (BCTs) feedback and monitoring, shaping knowledge, repetition and substitution, and reward. Three papers included qualitative data on the user’s experience. We developed the following themes: parental involvement, connection with a health professional is important for engagement, technological affordances and barriers, and child-centered design.

Conclusions

Of the 17 eligible interventions, digital interventions for anxiety and overweight or obesity had the greatest promise. Using qualitative methods during digital intervention development and evaluation may lead to more meaningful, usable, feasible, and engaging interventions, especially for this underresearched younger population. The following characteristics could be considered when developing digital interventions for younger children: involvement of parents, gaming features, additional therapist support, behavioral (rather than cognitive) approaches, and particular BCTs (feedback and monitoring, shaping knowledge, repetition and substitution, and reward). This review suggests a model for improving the conceptualization and reporting of behavioral interventions involving children and parents.

The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study

Background

Social media has recently provided a remarkable means of delivering health information broadly and in a cost-effective way. Despite its benefits, some difficulties are encountered in attempting to influence the public to change their behavior in response to social media health messages.

Objective

This study aimed to explore the factors that affect individuals’ acceptance of using social media as a tool for receiving health awareness messages and adapting such content accordingly by developing a smart health awareness message framework.

Methods

A quantitative method was adapted to validate the hypotheses and proposed framework through the development of a survey based on the technology acceptance model with the extension of other constructs. The survey was distributed on the web to 701 participants from different countries via Qualtrics software; it generated 391 completed questionnaires, and the response rate was 55.8% (391/701).

Results

Of the 391 respondents, 121 (30.9%) used social media platforms often during the week, and 27 participants (6.9%) did not use social media. In addition, 24.0% (94/391) of the respondents used these platforms to seek health information. On the basis of the results, perceived usefulness (β=.37; P<.001), gain-framed message (β=.04; P<.001), and loss-framed message (β=.08; P<.001) were seen to positively and significantly influence people’s intention to use social media as a means to spread information about health promotion. The proposed smart health awareness message framework identifies 64.2% of the variance in intention to use, 55.4% of the variance of perceived usefulness, and 26.2% of the variance of perceived ease of use.

Conclusions

This study sheds light on the factors that are associated with people’s intention to use and adopt social media in the health promotion domain. The findings reveal that the intention of using social media for health awareness purposes is positively impacted by the perception of usefulness of social media and the design of health messages. Future research might seek to explore other factors that relate to people’s behavior. This point of view will assist health organizations in developing their health messages more effectively and to be patient friendly.

A comparison of electronically-delivered and face to face cognitive behavioural therapies in depressive disorders: A systematic review and meta-analysis

BACKGROUND

Cognitive behavioural therapy (CBT) is a widely used treatment for depression. However, limited resource availability poses several barriers to patients seeking access to care, including lengthy wait times and geographical limitations. This has prompted health care services to introduce electronically delivered CBT (eCBT) to facilitate access. Although previous reviews have compared the effects of eCBT to face-to-face CBT, there is an overall lack of adequately powered and up-to-date evidence in the literature to provide a reliable comparison between the two modes of administration. The purpose of this study is to evaluate the effects of eCBT compared to face-to-face CBT through a systematic review of the literature.

METHODS

To be eligible for this review, studies needed to be randomized controlled trials evaluating the clinical effectiveness of any form of eCBT compared to face-to-face CBT. These encompassed studies evaluating a wide range of outcomes including severity of symptoms, adverse outcomes, clinically relevant outcomes, global functionality, participant satisfaction, quality of life, and affordability. There were no restrictions on participant age or sex.We searched MEDLINE, EMBASE, Psych Info, Cochrane CENTRAL and CINAHL databases from inception to February 20th, 2020 using a comprehensive search strategy. All stages of literature screening and data extraction were completed independently in duplicate. Data extraction and risk of bias analyses, including GRADE ratings, were conducted on studies meeting inclusion criteria. Qualitative measures are reported in a narrative summary. We pooled quantitative data in meta-analyses to provide an estimated summary effect. This review adheres to PRISMA reporting guidelines.

FINDINGS

In total, we included 17 studies in our analyses. Our results demonstrated that eCBT was more effective than face-to-face CBT at reducing depression symptom severity (Standardized mean difference [SMD]: -1.73; 95% confidence interval [CI]: -2.72, -0.74; GRADE: moderate quality of evidence). There were no significant differences between the two interventions on participant satisfaction (SMD 0.13 95%; CI -0.32, 0.59; GRADE: low quality of evidence). One RCT reported eCBT to be less costly than face-to-face CBT (GRADE: low quality of evidence). Results did not differ when stratified by subgroups such as participant age and study location.

INTERPRETATION

Although we found eCBT to have moderate evidence of effectiveness in reducing symptoms of depression, high heterogeneity among studies precludes definitive conclusions for all outcomes. With the current reliance and accessibility of technology to increasing number of people worldwide, serious consideration in utilizing technology should be given to maximize accessibility for depression treatments. Our results found eCBT is at least as effective as face to face CBT, thus eCBT should be offered if preferred by patients and therapists.

FUNDING

This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Effectiveness and cost-effectiveness of guided Internet- and mobile-based CBT for adolescents and young adults with chronic somatic conditions and comorbid depression and anxiety symptoms (youthCOACHCD): study protocol for a multicentre randomized controlled trial

BACKGROUND

Adolescents and young adults (AYA) with chronic somatic conditions have an increased risk of comorbid depression and anxiety symptoms. Internet- and mobile-based cognitive behavioural therapy (iCBT) might be one possibility to extend the access to evidence-based treatments. Studies suggest that guided iCBT can reduce anxiety and depression symptoms in AYA. However, little is known about the effectiveness of iCBT for AYA with chronic somatic conditions and comorbid symptoms of anxiety and/or depression in routine care. Evidence on the (cost-)effectiveness of iCBT is essential for its implementation in health care.

OBJECTIVES AND METHODS

This multicentre two-armed randomized controlled trial (RCT) aims to evaluate the (cost-) effectiveness of guided iCBT (youthCOACHCD) in addition to treatment as usual (TAU) compared to enhanced treatment as usual (TAU+) in AYA aged 12-21 years with one of three chronic somatic conditions (type 1 diabetes, cystic fibrosis, or juvenile idiopathic arthritis). AYA with one of the chronic somatic conditions and elevated symptoms of anxiety or depression (Patient Health Questionnaire [PHQ-9] and/or Generalized Anxiety Disorder [GAD-7] Screener score ≥ 7) will be eligible for inclusion. We will recruit 212 patients (2 × n = 106) in routine care through three German patient registries. Assessments will take place at baseline and at 6 weeks, 3 months, 6 months, and 12 months post-randomization. The primary outcome will be combined depression and anxiety symptom severity as measured with the PHQ Anxiety and Depression Scale. Secondary outcomes will include health-related quality of life, coping strategies, self-efficacy, stress-related personal growth, social support, behavioural activation, adjustment and trauma-related symptoms, automatic thoughts, intervention satisfaction, working alliance, and Internet usage. The cost-effectiveness will be determined, and potential moderators and mediators of intervention effects will be explored.

DISCUSSION

iCBT might implicate novel ways to increase the access to evidence-based interventions in this specific population. The distinct focus on effectiveness and cost-effectiveness of youthCOACHCD in patients with chronic somatic conditions, as well as intervention safety, will most likely provide important new insights in the field of paediatric e-mental health. A particular strength of the present study is its implementation directly into routine collaborative health care. As such, this study will provide important insights for health care policy and stakeholders and indicate how iCBT can be integrated into existing health care systems.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS), DRKS00017161. Registered on 17 September 2019.

Home-Based Pediatric Palliative Care and Electronic Health: Systematic Mixed Methods Review

Background

Children and families in pediatric palliative care depend on close contact with health care personnel, and electronic health (eHealth) is suggested to support care at home by facilitating their remote interactions.

Objective

This study aimed to identify and review the use of eHealth to communicate and support home-based pediatric palliative care and appraise the methodological quality of the published research.

Methods

We conducted a convergent, systematic mixed methods review and searched Medical Literature Analysis and Retrieval System Online (Medline), EMBASE, PsycINFO, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and Scopus for eligible papers. Studies evaluating 2-way communication technology for palliative care for children aged ≤18 years and applying quantitative, qualitative, or mixed methods from 2012 to 2018 were eligible for inclusion. Quantitative and qualitative studies were equally valued during the search, screening, extraction, and analysis. Quantitative data were transformed into qualitative data and analyzed using a thematic analysis. Overall, 2 independent researchers methodologically appraised all included studies.

Results

We identified 1277 citations. Only 7 papers were eligible for review. Evaluating eHealth interventions in pediatric palliative care poses specific methodological and ethical challenges. eHealth to facilitate remote pediatric palliative care was acknowledged both as an intrusion and as a support at home. Reluctance toward eHealth was mainly identified among professionals.

Conclusions

The strengths of the conclusions are limited by the studies’ methodological challenges. Despite the limitless possibilities held by new technologies, research on eHealth in home-based pediatric palliative care is scarce. The affected children and families appeared to hold positive attitudes toward eHealth, although their views were less apparent compared with those of the professionals.

Trial Registration

PROSPERO CRD42018119051; https://tinyurl.com/rtsw5ky

Online self-compassion training to improve the wellbeing of youth with chronic medical conditions: protocol for a randomised control trial

BACKGROUND

Chronic medical conditions (CMCs) affect up to 35% of children and adolescents. Youth with chronic medical conditions are at an increased risk of psychological distress and reduced health-related quality of life, and report rates of mental illness up to double that of their physically healthy peers. Accessible, evidence-based interventions for young people with chronic illness are urgently required to improve their mental health and daily functioning. Self-compassion involves taking a mindful, accepting approach to difficult experiences, being aware that one is not alone in one's suffering, and being kind and understanding with oneself during challenging times. Self-compassion shares strong associations with mental health outcomes among young people and preliminary work indicates that interventions that build self-compassion have the potential to substantially improve youth mental health. Self-compassion is also associated with better physical and mental health outcomes among individuals living with CMCs. While face-to-face self-compassion training is available, there are several barriers to access for youth with CMCs. Online self-compassion training potentially offers an accessible alternative for this high-risk group.

METHODS

Self-Compassion Online (SCO) is a self-compassion program that has been tested with a non-clinical adult group. For the proposed trial, a reference group of youth (16-25 years) with chronic illness reviewed the program and proposed adaptations to improve its suitability for youth with chronic illness. In alignment with the SPIRIT Checklist, this paper outlines the protocol for a CONSORT-compliant, single-blind randomised controlled trial to test the efficacy of the adapted program, relative to a waitlist control, for improving self-compassion, wellbeing, distress, emotion regulation, coping and quality of life among young Australians with CMCs. Mechanisms of action and feasibility of SCO will be analysed using quantitative data and participant interviews, respectively. Finally, cost-utility will be analysed using health-related quality of life data.

DISCUSSION

The SCO program could provide a scalable solution for improving psychological outcomes and quality of life among youth with chronic illness. The proposed trial will be the first to determine its efficacy for improving these outcomes, relative to waitlist control.

TRIAL REGISTRATION

The trial was registered on the Australian New Zealand Clinical Trials Registry on the 11th April 2019, ACTRN12619000572167. Protocol version: Version 2, 21 December 2019.

Psychological therapies for anxiety and depression in children and adolescents with long-term physical conditions

BACKGROUND

Long-term physical conditions affect 10% to 12% of children and adolescents worldwide. These individuals are at greater risk of developing psychological problems, particularly anxiety and depression, sometimes directly related to their illness or medical care (e.g. health-related anxiety). There is limited evidence regarding the effectiveness of psychological therapies for treating anxiety and depression in this population. Therapies designed for children and adolescents without medical issues may or may not be appropriate for use with those who have long-term physical conditions.

OBJECTIVES

This review was undertaken to assess the effectiveness and acceptability of psychological therapies in comparison with controls (treatment-as-usual, waiting list, attention placebo, psychological placebo, or non-psychological treatment) for treating anxiety and depression in children and adolescents with long-term physical conditions.

SEARCH METHODS

We searched Ovid MEDLINE (1950- ), Embase (1974- ), PsycINFO (1967- ) and the Cochrane Central Register of Controlled Trials (CENTRAL) to 27 September 2018. An earlier search of these databases was conducted via the Cochrane Common Mental Disorders Controlled Trial Register (CCMD-CTR) (all years to May 2016). In addition we searched the Web of Science (Core Collection) (12 October 2018) and conducted a cited reference search for reports of all included trials. We handsearched relevant conference proceedings, reference lists of included articles, and grey literature.

SELECTION CRITERIA

Randomised controlled trials (RCTs), cluster-randomised trials and cross-over trials of psychological therapies for treating anxiety or depression in children with long-term physical conditions were included.

DATA COLLECTION AND ANALYSIS

Abstracts and complete articles were independently reviewed by two authors. Discrepancies were addressed by a third author. Odds ratio (OR) was used for comparing dichotomous data and standardised mean differences (SMD) for comparing continuous data. Meta-analysis was undertaken when treatments, participants, and the underlying clinical question were similar. Otherwise, narrative analysis of data was undertaken.

MAIN RESULTS

Twenty-eight RCTs and one cross-over trial with 1349 participants were included in the review. Most participants were recruited from community settings and hospital clinics in high-income countries. For the primary outcome of treatment efficacy, short-term depression (versus any control), there was low-quality evidence from 16 trials involving 1121 participants suggesting that psychological therapies may be more effective than control therapies (SMD -0.31, 95% CI -0.59 to -0.03; I² = 79%). For the primary outcome of treatment efficacy, short-term anxiety (versus any control), there was inadequate evidence of moderate-quality from 13 studies involving 578 participants to determine whether psychological therapies were more effective than control conditions (SMD -0.26, CI -0.59 to 0.07, I² = 72%). Planned sensitivity analyses could not be undertaken for risk of bias due to the small number of trials that rated high for each domain. Additional sensitivity analysis demonstrated that psychological interventions specifically designed to reduce anxiety or depression were more effective than psychological therapies designed to improve other symptoms or general coping. There was some suggestion from subgroup analyses that they type of intervention (Chi² = 14.75, df = 5 (P = 0.01), I² = 66.1%), the severity of depression (Chi² = 23.29, df = 4 (P = 0.0001), I² = 82.8%) and the type of long-term physical condition (Chi² = 10.55, df = 4 (P = 0.03), I² = 62.1%) may have an impact on the overall treatment effect.There was qualitative (reported), but not quantitative evidence confirming the acceptability of selected psychological therapies for anxiety and depression. There was low-quality evidence that psychological therapies were more effective than control conditions in improving quality of life (SMD 1.13, CI 0.44 to 1.82, I² = 89%) and symptoms of long-term physical conditions (SMD -0.34, CI -0.6 to -0.06, I² = 70%), but only in the short term. There was inadequate low-quality evidence to determine whether psychological therapies were more effective than control conditions at improving functioning in either the short term or long term. No trials of therapies for addressing health-related anxiety were identified and only two trials reported adverse effects; these were unrelated to psychological therapies. Overall, the evidence was of low to moderate quality, results were heterogeneous, and only one trial had an available protocol.

AUTHORS' CONCLUSIONS

A limited number of trials of variable quality have been undertaken to assess whether psychological therapies are effective for treating anxiety and depression in children and adolescents with long-term physical conditions. According to the available evidence, therapies specifically designed to treat anxiety or depression (especially those based on principles of cognitive behaviour therapy (CBT)) may be more likely to work in children and adolescents who have mild to moderate levels of symptoms of these disorders, at least in the short term. There is a dearth of therapies specifically designed to treat health-related anxiety in this age group.

E-Health interventions for anxiety and depression in children and adolescents with long-term physical conditions

BACKGROUND

Long-term physical conditions affect 10% to 12% of children and adolescents worldwide; these individuals are at greater risk of developing psychological problems, particularly anxiety and depression. Access to face-to-face treatment for such problems is often limited, and available interventions usually have not been tested with this population. As technology improves, e-health interventions (delivered via digital means, such as computers and smart phones and ranging from simple text-based programmes through to multimedia and interactive programmes, serious games, virtual reality and biofeedback programmes) offer a potential solution to address the psychological needs of this group of young people.

OBJECTIVES

To assess the effectiveness of e-health interventions in comparison with attention placebos, psychological placebos, treatment as usual, waiting-list controls, or non-psychological treatments for treating anxiety and depression in children and adolescents with long-term physical conditions.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Group's Controlled Trials Register (CCMDTR to May 2016), the Cochrane Central Register of Controlled Trials (CENTRAL) (Issue 8, 2017), Web of Science (1900 - 18 August 2016, updated 31 August 2017) and Ovid MEDLINE, Embase, PsycINFO (cross-search 2016 to 18 Aug 2017). We hand-searched relevant conference proceedings, reference lists of included articles, and the grey literature to May 2016. We also searched international trial registries to identify unpublished or ongoing trials.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), cluster-randomised trials, and cross-over trials of e-health interventions for treating any type of long-term physical condition in children and adolescents (aged 0 to 18 years), and that measured changes in symptoms or diagnoses of anxiety, depression, or subthreshold depression. We defined long-term physical conditions as those that were more than three-months' duration. We assessed symptoms of anxiety and depression using patient- or clinician-administered validated rating scales based on DSM III, IV or 5 (American Psychological Association 2013), or ICD 9 or 10 criteria (World Health Organization 1992). Formal depressive and anxiety disorders were diagnosed using structured clinical interviews. Attention placebo, treatment as usual, waiting list, psychological placebo, and other non-psychological therapies were eligible comparators.

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed titles, abstracts, and full-text articles; discrepancies were resolved through discussion or addressed by a third author. When available, we used odds ratio (OR) to compare dichotomous data and standardised mean differences (SMD) to analyse continuous data, both with 95% confidence intervals (CI). We undertook meta-analysis when treatments, participants, and the underlying clinical question were adequately similar. Otherwise, we undertook a narrative analysis.

MAIN RESULTS

We included five trials of three interventions (Breathe Easier Online, Web-MAP, and multimodal cognitive behavioural therapy (CBT)), which included 463 participants aged 10 to 18 years. Each trial contributed to at least one meta-analysis. Trials involved children and adolescents with long-term physical conditions, such as chronic headache (migraine, tension headache, and others), chronic pain conditions (abdominal, musculoskeletal, and others), chronic respiratory illness (asthma, cystic fibrosis, and others), and symptoms of anxiety or depression. Participants were recruited from community settings and hospital clinics in high income countries.For the primary outcome of change in depression symptoms versus any control, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.06, 95% CI -0.35 to 0.23; five RCTs, 441 participants). For the primary outcome of change in anxiety symptoms versus any comparator, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.07, 95% CI -0.29 to 0.14; two RCTs, 324 participants). For the primary outcome of treatment acceptability, there was very low-quality evidence that e-health interventions were less acceptable than any comparator (SMD 0.46, 95% CI 0.23 to 0.69; two RCTs, 304 participants).For the secondary outcome of quality of life, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.83, 95% CI -1.53 to -0.12; one RCT, 34 participants). For the secondary outcome of functioning, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD -0.08, 95% CI -0.33 to 0.18; three RCTs, 368 participants). For the secondary outcome of status of long-term physical condition, there was very low-quality evidence meaning that it could not be determined whether e-health interventions were clearly better than any comparator (SMD 0.06, 95% CI -0.12 to 0.24; five RCTs, 463 participants).The risk of selection bias was considered low in most trials. However, the risk of bias due to inadequate blinding of participants or outcome assessors was considered unclear or high in all trials. Only one study had a published protocol; two trials had incomplete outcome data. All trials were conducted by the intervention developers, introducing another possible bias. No adverse effects were reported by any authors.

AUTHORS' CONCLUSIONS

At present, the field of e-health interventions for the treatment of anxiety or depression in children and adolescents with long-term physical conditions is limited to five low quality trials. The very low-quality of the evidence means the effects of e-health interventions are uncertain at this time, especially in children aged under 10 years.Although it is too early to recommend e-health interventions for this clinical population, given their growing number, and the global improvement in access to technology, there appears to be room for the development and evaluation of acceptable and effective technologically-based treatments to suit children and adolescents with long-term physical conditions.