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.