Tara Donker

Is guided self-help as effective as face-to-face psychotherapy for depression and anxiety disorders? A systematic review and meta-analysis of comparative outcome studies.

BACKGROUND Although guided self-help for depression and anxiety disorders has been examined in many studies, it is not clear whether it is equally effective as face-to-face treatments.MethodWe conducted a meta-analysis of randomized controlled trials in which the effects of guided self-help on depression and anxiety were compared directly with face-to-face psychotherapies for depression and anxiety disorders. A systematic search in bibliographical databases (PubMed, PsycINFO, EMBASE, Cochrane) resulted in 21 studies with 810 participants. RESULTS The overall effect size indicating the difference between guided self-help and face-to-face psychotherapy at post-test was d=-0.02, in favour of guided self-help. At follow-up (up to 1 year) no significant difference was found either. No significant difference was found between the drop-out rates in the two treatments formats. CONCLUSIONS It seems safe to conclude that guided self-help and face-to-face treatments can have comparable effects. It is time to start thinking about implementation in routine care.

Smartphones for smarter delivery of mental health programs: A systematic review

Background The rapid growth in the use of mobile phone applications (apps) provides the opportunity to increase access to evidence-based mental health care. Objective Our goal was to systematically review the research evidence supporting the efficacy of mental health apps for mobile devices (such as smartphones and tablets) for all ages. Methods A comprehensive literature search (2008-2013) in MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, PsycINFO, PsycTESTS, Compendex, and Inspec was conducted. We included trials that examined the effects of mental health apps (for depression, anxiety, substance use, sleep disturbances, suicidal behavior, self-harm, psychotic disorders, eating disorders, stress, and gambling) delivered on mobile devices with a pre- to posttest design or compared with a control group. The control group could consist of wait list, treatment-as-usual, or another recognized treatment. Results In total, 5464 abstracts were identified. Of those, 8 papers describing 5 apps targeting depression, anxiety, and substance abuse met the inclusion criteria. Four apps provided support from a mental health professional. Results showed significant reductions in depression, stress, and substance use. Within-group and between-group intention-to-treat effect sizes ranged from 0.29-2.28 and 0.01-0.48 at posttest and follow-up, respectively. Conclusions Mental health apps have the potential to be effective and may significantly improve treatment accessibility. However, the majority of apps that are currently available lack scientific evidence about their efficacy. The public needs to be educated on how to identify the few evidence-based mental health apps available in the public domain to date. Further rigorous research is required to develop and test evidence-based programs. Given the small number of studies and participants included in this review, the high risk of bias, and unknown efficacy of long-term follow-up, current findings should be interpreted with caution, pending replication. Two of the 5 evidence-based mental health apps are currently commercially available in app stores.

Psychoeducation for depression, anxiety and psychological distress: a meta-analysis

BackgroundGiven the high prevalence and burden associated with depression and anxiety disorders and the existence of treatment barriers, there is a clear need for brief, inexpensive and effective interventions such as passive psychoeducational interventions. There are no published meta-analyses of the effectiveness of passive psychoeducation in reducing symptoms of depression, anxiety or psychological distress.MethodsCochrane, PsycInfo and PubMed databases were searched in September 2008. Additional materials were obtained from reference lists. Papers describing passive psychoeducational interventions for depression, anxiety and psychological distress were included if the research design was a randomized controlled trial and incorporated an attention placebo, no intervention or waitlist comparison group.ResultsIn total, 9010 abstracts were identified. Of these, five papers which described four research studies targeting passive psychoeducation for depression and psychological distress met the inclusion criteria. The pooled standardized-effect size (four studies, four comparisons) for reduced symptoms of depression and psychological distress at post-intervention was d = 0.20 (95% confidence interval: 0.01-0.40; Z = 2.04; P = 0.04; the number needed to treat: 9). Heterogeneity was not significant among the studies (I2 = 32.77, Q:4.46; P = 0.22).ConclusionsAlthough it is commonly believed that psychoeducation interventions are ineffective, this meta-analysis revealed that brief passive psychoeducational interventions for depression and psychological distress can reduce symptoms. Brief passive psychoeducation interventions are easy to implement, can be applied immediately and are not expensive. They may offer a first-step intervention for those experiencing psychological distress or depression and might serve as an initial intervention in primary care or community models. The findings suggest that the quality of psychoeducation may be important.

Self-guided psychological treatment for depressive symptoms: A meta-analysis

Background A number of trials have examined the effects of self-guided psychological intervention, without any contact between the participants and a therapist or coach. The results and sizes of these trials have been mixed. This is the first quantitative meta-analysis, aimed at organizing and evaluating the literature, and estimating effect size. Method We conducted systematic literature searches in PubMed, PsycINFO and Embase up to January 2010, and identified additional studies through earlier meta-analyses, and the references of included studies. We identified seven randomized controlled trials that met our inclusion criteria, with a total of 1,362 respondents. The overall quality of the studies was high. A post-hoc power calculation showed that the studies had sufficient statistical power to detect an effect size of d = 0.19. Results The overall mean effect size indicating the difference between self-guided psychological treatment and control groups at post-test was d = 0.28 (p<0.001), which corresponds to a NNT of 6.41. At 4 to 12 months follow-up the effect size was d = 0.23. There was no indication for significant publication bias. Conclusions We found evidence that self-guided psychological treatment has a small but significant effect on participants with increased levels of depressive symptomatology.

Psychological treatment of depression: results of a series of meta-analyses.

Background: In the past few decades, a considerable number of studies have examined the effects of psychotherapies for adult depression. Aim: We described the results of a series of meta-analyses examining what this large body of research has contributed to our knowledge of these treatments of depression. Results: We found that different types of psychotherapy are efficacious in the treatment of adult depression, including cognitive behavior therapy, interpersonal psychotherapy, problem-solving therapy, non-directive supportive therapy and behavioral activation therapy. Differences between types of psychotherapy are small. The efficacy of psychotherapy for mild to moderate depression is about the same as the efficacy of pharmacotherapy, and that combined treatment is more effective than psychotherapy alone and pharmacotherapy alone. Psychotherapy is not only effective in depressed adults in general, but also in older adults, women with postpartum depression, patients with general medical disorders, in inpatients, in primary care patients, patients with chronic depression and in subthreshold depression. Conclusions: We found no evidence showing that psychotherapy is less efficacious in severe depression (with mean baseline Hamilton Depression Rating Scale scores up to 31, mean Beck Depression Inventory scores up to 35.85 and mean Beck Depression Inventory-II scores up to 36.50), but effects are smaller in chronic depression. We also found that the effects of psychotherapy are probably overestimated because of publication bias and the relatively low quality of many studies in the field.

Screening for mood and anxiety disorders with the five-item, the three-item, and the two-item mental health inventory

The Mental Health Inventory (MHI)-5 is an attractive, brief screening questionnaire for depression and anxiety disorders. It has been suggested that the three questions on depression (MHI-d) may be as good as the full MHI-5 in assessing depressive disorders. We examined the validity of the MHI-d and the MHI-a (the remaining two items on anxiety) in a large population-based sample of 7076 adults in the Netherlands. We also examined the validity of the MHI in assessing specific anxiety disorders. The presence of depressive and anxiety disorders in the past month was assessed with the Composite International Diagnostic Interview (CIDI), computerized version 1.1. ROC analyses indicated no significant difference between the MHI-5 (area under the curve of 0.93) and the MHI-d (area under the curve of 0.91) in detecting major depression and dysthymia. There was no difference either between the MHI-5 (area under the curve of 0.73) and the MHI-a (area under the curve 0.73) in detecting anxiety disorders. Both the MHI-5 and the MHI-a also seem to be adequate as a screener for some anxiety disorders (generalized anxiety disorder; panic disorder; obsessive-compulsive disorder), but not others, especially phobias (agoraphobia; social phobia; simple phobia).

A Brief Web-Based Screening Questionnaire for Common Mental Disorders: Development and Validation

Background The advent of Internet-based self-help systems for common mental disorders has generated a need for quick ways to triage would-be users to systems appropriate for their disorders. This need can be met by using brief online screening questionnaires, which can also be quickly used to screen patients prior to consultation with a GP. Objective To test and enhance the validity of the Web Screening Questionnaire (WSQ) to screen for: depressive disorder, alcohol abuse/dependence, GAD, PTSD, social phobia, panic disorder, agoraphobia, specific phobia, and OCD. Methods A total of 502 subjects (aged 18 - 80) answered the WSQ and 9 other questionnaires on the Internet. Of these 502, 157 were assessed for DSM-IV-disorders by phone in a WHO Composite International Diagnostic Interview with a CIDI-trained interviewer. Results Positive WSQ “diagnosis” had significantly (P < .001) higher means on the corresponding validating questionnaire than negative WSQ “diagnosis”. WSQ sensitivity was 0.72 - 1.00 and specificity was 0.44 - 0.77 after replacing three items (GAD, OCD, and panic) and adding one question for specific phobia. The Areas Under the Curve (AUCs) of the WSQ’s items with scaled responses were comparable to AUCs of longer questionnaires. Conclusions The WSQ screens appropriately for common mental disorders. While the WSQ screens out negatives well, it also yields a high number of false positives.

The validity of the Dutch K10 and extended K10 screening scales for depressive and anxiety disorders

The aim of this study was to validate the Dutch version of the Kessler-10 (K10) as well as an extended version (EK10) in screening for depressive and anxiety disorders in primary care. Data are from 1607 participants (18 through 65 years, 68.8% female) of the Netherlands Study of Depression and Anxiety (NESDA), recruited from 65 general practitioners. Participants completed the K10, extended with five additional questions focusing on core anxiety symptoms, and were evaluated with the WHO Composite International Diagnostic Interview (CIDI lifetime version 2.1) to assess DSM-IV disorders (major depressive disorder, dysthymia, generalized anxiety disorder, social phobia, panic disorder, agoraphobia). Reliability (Cronbachs alpha) of the Dutch K10 was 0.94. Based on Receiver Operating Characteristics (ROC) analysis, the area under the curve (AUC) for the K10 for any depressive and/or anxiety disorder was found to be 0.87. The extended questions on the EK10 significantly improved the detection of anxiety disorders in particular. With a cut-off point of 20, the K10 reached a sensitivity of 0.80 and a specificity of 0.81 for any depressive and/or anxiety disorder. For the EK10, a cut-off point of 20 and/or at least one positive answer on the additional questions provided a sensitivity of 0.90 and a specificity of 0.75 for detecting any depressive and/or anxiety disorder. The Dutch version of the K10 is appropriate for screening depressive disorders in primary care, while the EK10 is preferred in screening for both depressive and anxiety disorders.

Economic evaluations of Internet interventions for mental health: a systematic review

BACKGROUND Internet interventions are assumed to be cost-effective. However, it is unclear how strong this evidence is, and what the quality of this evidence is. METHOD A comprehensive literature search (1990-2014) in Medline, EMBASE, the Cochrane Central Register of Controlled Trials, NHS Economic Evaluations Database, NHS Health Technology Assessment Database, Office of Health Economics Evaluations Database, Compendex and Inspec was conducted. We included economic evaluations alongside randomized controlled trials of Internet interventions for a range of mental health symptoms compared to a control group, consisting of a psychological or pharmaceutical intervention, treatment-as-usual (TAU), wait-list or an attention control group. RESULTS Of the 6587 abstracts identified, 16 papers met the inclusion criteria. Nine studies featured a societal perspective. Results demonstrated that guided Internet interventions for depression, anxiety, smoking cessation and alcohol consumption had favourable probabilities of being more cost-effective when compared to wait-list, TAU, group cognitive behaviour therapy (CBGT), attention control, telephone counselling or unguided Internet CBT. Unguided Internet interventions for suicide prevention, depression and smoking cessation demonstrated cost-effectiveness compared to TAU or attention control. In general, results from cost-utility analyses using more generic health outcomes (quality of life) were less favourable for unguided Internet interventions. Most studies adhered reasonably to economic guidelines. CONCLUSIONS Results of guided Internet interventions being cost-effective are promising with most studies adhering to publication standards, but more economic evaluations are needed in order to determine cost-effectiveness of Internet interventions compared to the most cost-effective treatment currently available.

Brief self-rated screening for depression on the Internet

BACKGROUND The Internet offers promising possibilities for the quick screening of depression for treatment and research purposes. This paper aims to validate three self-rated measures to screen for depression on the Internet: SID (single-item depression scale), CES-D (Center for Epidemiological Studies Depression scale) and K10 (Kessler psychological distress scale). METHODS Of the 502 subjects aged 18-80 who rated the SID, CES-D and K10 measures on the Internet, 157 (31%) subjects were also interviewed by telephone using the WHO Composite International Diagnostic Interview (C)IDI) for DSM-IV-disorders. RESULTS Cronbachs alpha for both web self-rated measures CES-D and K10 was 0.90. The SID correlated 0.68 (P<0.001) with the CES-D and with the K10. The CES-D correlated 0.84 with the K10 (P<0.001). Subjects with a DSM-IV diagnosis for any depressive disorder had significantly higher means (P<0.001) on the three self-rated measures for depressive symptoms than subjects without a diagnosis of any depressive disorder. Using any depressive disorder as the gold standard, the area under the curve (AUC) of the SID was 0.71 (95% CI: 0.63-0.79), which was significantly lower than the AUC of the CES-D (AUC: 0.84; 95% CI: 0.77-0.90, P=0.003) and of the K10 (AUC: 0.81; 95% CI: 0.73-0.88, P=0.0024). The AUCs for the K10 and CES-D did not differ significantly from each other. LIMITATIONS The CIDI interviews were not recorded, so inter-rater reliability could not be calculated. CONCLUSIONS The CES-D and K10 are reliable, valid tools for care providers to quickly screen depressive patients on the Internet and for researchers to collect data.