The 6-month effectiveness of Internet-based guided self-help for depression in adults with Type 1 and 2 diabetes mellitus.

AIM: The aim of this research is to examine the 6-month effects of an Internet-based guided self-help intervention for comorbid depressive symptoms in people with diabetes. METHODS: Participants (n = 260) with Type 1 or 2 diabetes and elevated depressive symptoms [Center for Epidemiological Studies Depression Scale (CES-D) ≥ 23] were randomly assigned to a guided Internet-based self-help intervention or a control condition (treatment as usual + online psychoeducation about depression). The primary outcome was a change in depressive symptom severity (CES-D) from baseline to 6-month follow-up. The secondary outcomes included numbers of people achieving treatment response (reliable change of depressive symptoms) and remission (CES-D ≤ 16), as well as the effects on glycaemic control, diabetes-related emotional distress and diabetes acceptance. Repeated measures analysis of variance examined between-group differences using intent-to-treat principles. RESULTS: Both conditions showed improvements in depression severity: intervention condition, d = 1.48 [95% confidence interval (95% CI): 1.21 to 1.76]; control condition d = 0.55 (95% CI: 0.30 to 0.80). Changes were significantly greater in the intervention condition with a large between-group effect size (d = 0.83, 95% CI: 0.57 to 1.08). Accordingly, effects on response [relative risk (RR) = 2.60 (95% CI: 2.01 to 3.36), P < 0.001] and remission [RR = 3.36 (95% CI: 2.98 to 5.44), P < 0.001] were in favour of the intervention group, as were differences in change in diabetes emotional distress (d = 0.50, 95% CI: 0.04 to 0.54), and physical and mental functioning [Short Form Health Survey (SF-12) Physical d = 0.27 (95% CI: 0.01 to 0.51) and SF-12 Mental d = 0.68 (95% CI: 0.11 to 0.40)]. The intervention group was not superior with regard to glycaemic control, diabetes self-management and diabetes acceptance. CONCLUSIONS: The trial indicates that Internet-based guided self-help treatments for depression in people with diabetes can have sustained effects on depressive symptoms, well-being and emotional distress associated with diabetes.

The effects of cognitive and behavioural therapies for anxiety disorders on depression: a meta-analysis.

BACKGROUND: The effects of cognitive behavioural therapy of anxiety disorders on depression has been examined in previous meta-analyses, suggesting that these treatments have considerable effects on depression. In the current meta-analysis we examined whether the effects of treatments of anxiety disorders on depression differ across generalized anxiety disorder (GAD), social anxiety disorder (SAD) and panic disorder (PD). We also compared the effects of these treatments with the effects of cognitive and behavioural therapies of major depression (MDD). METHOD: We searched PubMed, PsycINFO, EMBASE and the Cochrane database, and included 47 trials on anxiety disorders and 34 trials on MDD. RESULTS: Baseline depression severity was somewhat lower in anxiety disorders than in MDD, but still mild to moderate in most studies. Baseline severity differed across the three anxiety disorders. The effect sizes found for treatment of the anxiety disorders ranged from g = 0.47 for PD, g = 0.68 for GAD and g = 0.69 for SAD. Differences between these effect sizes and those found in the treatment of MDD (g = 0.81) were not significant in most analyses and we found few indications that the effects differed across anxiety disorders. We did find that within-group effect sizes resulted in significantly (p < 0.001) larger effect sizes for depression (g = 1.50) than anxiety disorders (g = 0.73-0.91). Risk of bias was considerable in the majority of studies. CONCLUSIONS: Patients participating in trials of cognitive behavioural therapy for anxiety disorders have high levels of depression. These treatments have considerable effects on depression, and these effects are comparable to those of treatment of primary MDD.

Comparison of psychotherapies for adult depression to pill placebo control groups: a meta-analysis.

BACKGROUND: The effects of antidepressants for treating depressive disorders have been overestimated because of selective publication of positive trials. Reanalyses that include unpublished trials have yielded reduced effect sizes. This in turn has led to claims that antidepressants have clinically insignificant advantages over placebo and that psychotherapy is therefore a better alternative. To test this, we conducted a meta-analysis of studies comparing psychotherapy with pill placebo. METHOD: Ten 10 studies comparing psychotherapies with pill placebo were identified. In total, 1240 patients were included in these studies. For each study, Hedges' g was calculated. Characteristics of the studies were extracted for subgroup and meta-regression analyses. RESULTS: The effect of psychotherapy compared to pill placebo at post-test was g = 0.25 [95% confidence interval (CI) 0.14-0.36, I² = 0%, 95% CI 0-58]. This effect size corresponds to a number needed to treat (NNT) of 7.14 (95% CI 5.00-12.82). The psychotherapy conditions scored 2.66 points lower on the Hamilton Depression Rating Scale (HAMD) than the placebo conditions, and 3.20 points lower on the Beck Depression Inventory (BDI). Some indications for publication bias were found (two missing studies). We found no significant differences between subgroups of the studies and in meta-regression analyses we found no significant association between baseline severity and effect size. CONCLUSIONS: Although there are differences between the role of placebo in psychotherapy and pharmacotherapy research, psychotherapy has an effect size that is comparable to that of antidepressant medications. Whether these effects should be deemed clinically relevant remains open to debate.

[Internet based cognitive behavioral interventions: state of the art and implementation possibilities in rehabilitation]. / Internetbasierte kognitiv-behaviorale Behandlungs-ansätze: State of the Art und Einsatzmöglichkeiten in der Rehabilitation.

Internet-based health interventions (IHIs) provide a way to treat people via the Internet. The spectrum is wide, comprising interventions for mental disorders and somatic diseases as well as health and risk behavior change interventions. Numerous international studies have demonstrated the efficacy of IHIs for the aforementioned areas. Through the resource-saving applications IHIs are cost-efficient, not least suggesting their usefulness for medical rehabilitation. The present overview starts with a description of IHIs with a differentiation of technical-formal and thematic aspects. In doing so, the focus lies primarily on cognitive-behavioral treatment approaches, as the best scientifically investigated IHIs to date. An overview of the empirical evidence of IHIs is given, followed by a discussion of the implementation possibilities in medical rehabilitation.

[Web-based rehabilitation aftercare following inpatient psychosomatic treatment]. / Web-basierte Rehabilitationsnachsorge nach stationärer psychosomatischer Therapie (W-RENA).

BACKGROUND: High relapse rates following treatment for mental health disorders are a challenge for psychosomatic rehabilitation treatments. The goal of the present study is to evaluate the feasibility, acceptance and process-quality of a 12-week transdiagnostic Internet-based maintenance treatment (W-RENA) following psychosomatic rehabilitation treatment. Findings regarding effectiveness and moderators of treatment outcome that were already reported elsewhere are briefly summarized.In a preliminary study we first assessed whether rehab patients have the technical requirements and abilities to successfully participate in Internet-based treatments. Patients expressing interest for participation in W-RENA (N=400) were compared with non-participants (N=1789) with regard to sociodemographic and clinical characteristics. METHOD: In a 2-arm randomized controlled trial (N=400) we subsequently compared participants of W-RENA with participants of a treatment as usual group (TAU). Self-report measures were assessed at the beginning of inpatient treatment (t1), at discharge from inpatient treatment/start of W-RENA (t2), and at 3- (t3) and 12-months follow-ups (t4). RESULTS: The majority of assessed rehab-patients had the technical prerequisites (78.79%) and necessary skills (79.9%) to successfully participate in an Internet-based intervention. A third of the patients (32%) which were invited to take part in the intervention (and the study) expressed interest to participate. Study participants and non-participants differed only slightly. Most participants (80.6%) reported to have gained benefit from participating. Treatment achievements as well as quality of therapist alliance were rated high from both patients and therapists. Moreover, participants of the W-RENA group could stabilize their inpatient treatment outcomes up to 3- and 12-months follow-up better than controls could do (differences in symptom change from discharge to 3-months follow-up: d=0.38; to 12-months follow-up: d=0.55). Clinical significant symptom deterioration from discharge to 1-year follow-up could be reduced by 2/3 (29.45% vs. 11.45%). We could not identify any subgroup not profiting from study participation. Patients with low education benefited particularly. CONCLUSION: Internet-based aftercare interventions are a feasible, accepted and effective approach to successfully sustain treatment outcomes achieved in inpatient psychosomatic rehabilitation.

Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial.

BACKGROUND: Internet-based interventions (IBI) are effective in treating depression. However, uptake rates in routine care are still limited. Hence, this study aimed to (1) assess the acceptance of IBIs in primary care patients with depressive symptoms and to (2) examine the effects of a brief acceptance facilitating intervention in the form of an informational video on patients' acceptance of IBIs. METHODS: Primary care patients (N=128) with Minor or Major Depression were randomly assigned to an intervention (IG) or control group (CG). Patients in the IG were shown a brief informational video about IBIs before receiving a questionnaire that assessed their acceptance of IBIs and other secondary outcomes. Patients of the CG filled out the questionnaire immediately. RESULTS: Baseline acceptance of IBIs in the CG was high for 6.3%, moderate for 53.1% and low for 40.6% of patients. Acceptance of IBIs was significantly higher in the IG when compared to the CG (d=.71, 95%-CI:.09-2.91). Except for social influence and the general attitude towards psychological treatment, all secondary outcomes were also significantly improved (e.g. effort- (d=.40) and performance-expectancy: d=.65; knowledge about Internet interventions d=.35). LIMITATIONS: Depression of the participants was only assessed using a self-report measure (PHQ-9). CONCLUSION: Primary care patients' acceptance of IBIs for depressive symptoms was low but could be increased significantly using a brief acceptance facilitating intervention on the basis of an informational video. Future studies should further examine the potential of acceptance facilitating interventions for patients and health care providers to exploit the public health impact of IBIs.