Patient Expectations in Internet-Based Self-Help for Social Anxiety

A number of controlled trials have demonstrated the efficacy of Internet-based cognitive-behaviour therapy for treating social anxiety disorder (SAD). However, little is known about what makes those interventions work. The current trial focuses on patient expectations as one common mechanism of change. The study examines whether patients' expectancy predicts outcome, adherence, and dropout in an unguided Internet-based self-help programme for SAD. Data of 109 participants in a 10-week self-help programme for SAD were analysed. Social anxiety measures were administered prior to the intervention, at week 2, and after the intervention. Expectancy was assessed at week 2. Patient expectations were a significant predictor of change in social anxiety (β = - .35 to - .40, all p < .003). Patient expectations also predicted treatment adherence (β = .27, p = .02). Patients with higher expectations showed more adherence and better outcome. Dropout was not predicted by expectations. The effect of positive expectations on outcome was mediated by early symptom change (from week 0 to week 2). Results suggest that positive outcome expectations have a beneficial effect on outcome in Internet-based self-help for SAD. Furthermore, patient expectations as early process predictors could be used to inform therapeutic decisions such as stepping up patients to guided or face-to-face treatment options

Does a Pre-Treatment Diagnostic Interview Affect the Outcome of Internet-Based Self-Help for Social Anxiety Disorder? A Randomized Controlled Trial

BACKGROUND: Numerous studies suggest that Internet-based self-help treatments are effective in treating anxiety disorders. Trials evaluating such interventions differ in their screening procedures and in the amount of clinician contact in the diagnostic assessment phase. The present study evaluates the impact of a pre-treatment diagnostic interview on the outcome of an Internet-based treatment for Social Anxiety Disorder (SAD). METHOD: One hundred and nine participants seeking treatment for SAD were randomized to either an interview-group (IG, N = 53) or to a non-interview group (NIG, N = 56). All participants took part in the same 10-week cognitive-behavioural unguided self-help programme. Before receiving access to the programme, participants of the IG underwent a structured diagnostic interview. Participants of the NIG started directly with the programme. RESULTS: Participants in both groups showed significant and substantial improvement on social anxiety measures from pre- to post-assessment (d IG = 1.30-1.63; d NIG = 1.00-1.28) and from pre- to 4-month follow-up assessment (d IG = 1.38-1.87; d NIG = 1.10-1.21). Significant between-groups effects in favour of the IG were found on secondary outcome measures of depression and general distress (d = 0.18-0.42). CONCLUSIONS: These findings suggest that Internet-based self-help is effective in treating SAD, whether or not a diagnostic interview is involved. However, the pre-treatment interview seems to facilitate change on secondary outcomes such as depression and general distress.

Citation analysis of faculty publication: beyond Science Citation Index and Social Science Citation Index.

When evaluated for promotion or tenure, faculty members are increasingly judged more on the quality than on the quantity of their scholarly publications. As a result, they want help from librarians in locating all citations to their published works for documentation in their curriculum vitae. Citation analysis using Science Citation Index and Social Science Citation Index provides a logical starting point in measuring quality, but the limitations of these sources leave a void in coverage of citations to an author's work. This article discusses alternative and additional methods of locating citations to published works.

Social relationship correlates of major depressive disorder and depressive symptoms in Switzerland: nationally representative cross sectional study

BACKGROUND The quality and quantity of social relationships are associated with depression but there is less evidence regarding which aspects of social relationship are most predictive. We evaluated the relative magnitude and independence of the association of four social relationship domains with major depressive disorder and depressive symptoms. METHODS We analyzed a cross-sectional telephone interview and postal survey of a probability sample of adults living in Switzerland (N = 12,286). Twelve-month major depressive disorder was assessed via structured interview over the telephone using the Composite International Diagnostic Interview (CIDI). The postal survey assessed depressive symptoms as well as variables representing emotional support, tangible support, social integration, and loneliness. RESULTS Each individual social relationship domain was associated with both outcome measures, but in multivariate models being lonely and perceiving unmet emotional support had the largest and most consistent associations across depression outcomes (incidence rate ratios ranging from 1.55-9.97 for loneliness and from 1.23-1.40 for unmet support, p's < 0.05). All social relationship domains except marital status were independently associated with depressive symptoms whereas only loneliness and unmet support were associated with depressive disorder. CONCLUSIONS Perceived quality and frequency of social relationships are associated with clinical depression and depressive symptoms across a wide adult age spectrum. This study extends prior work linking loneliness to depression by showing that a broad range of social relationship domains are associated with psychological well-being.

Internet-based individually versus group guided self-help treatment for social anxiety disorder: protocol of a randomized controlled trial

BACKGROUND: Social anxiety disorder (SAD) is one of the most common mental disorders and causes subjective suffering and economic burden worldwide. Although effective treatments are available, a lot of cases go untreated. Internet-based self-help is a low-threshold and flexible treatment alternative for SAD. Various studies have already shown that internet-based self-help can be effective to reduce social phobic symptoms significantly. Most of the interventions tested include therapist support, whereas the role of peer support within internet-based self-help has not yet been fully understood. There is evidence suggesting that patients' mutual exchange via integrated discussion forums can increase the efficacy of internet-based treatments. This study aims at investigating the added value of therapist-guided group support on the treatment outcome of internet-based self-help for SAD. METHODS/DESIGN: The study is conducted as a randomized controlled trial. A total of 150 adults with a diagnosis of SAD are randomly assigned to either a waiting-list control group or one of the active conditions. The participants in the two active conditions use the same internet-based self-help program, either with individual support by a psychologist or therapist-guided group support. In the group guided condition, participants can communicate with each other via an integrated, protected discussion forum. Subjects are recruited via topic related websites and links; diagnostic status will be assessed with a telephone interview. The primary outcome variables are symptoms of SAD and diagnostic status after the intervention. Secondary endpoints are general symptomology, depression, quality of life, as well as the primary outcome variables 6 months later. Furthermore, process variables such as group processes, the change in symptoms and working alliance will be studied. DISCUSSION: The results of this study should indicate whether group-guided support could enhance the efficacy of an internet-based self-help treatment for SAD. This novel treatment format, if shown effective, could represent a cost-effective option and could further be modified to treat other conditions, as well.

Social Meets Molecular: Combining Phylogenetic and Latent Class Analyses to Understand HIV-1 Transmission in Switzerland

Switzerland has a complex human immunodeficiency virus (HIV) epidemic involving several populations. We examined transmission of HIV type 1 (HIV-1) in a national cohort study. Latent class analysis was used to identify socioeconomic and behavioral groups among 6,027 patients enrolled in the Swiss HIV Cohort Study between 2000 and 2011. Phylogenetic analysis of sequence data, available for 4,013 patients, was used to identify transmission clusters. Concordance between sociobehavioral groups and transmission clusters was assessed in correlation and multiple correspondence analyses. A total of 2,696 patients were infected with subtype B, 203 with subtype C, 196 with subtype A, and 733 with recombinant subtypes (mainly CRF02_AG and CRF01_AE). Latent class analysis identified 8 patient groups. Most transmission clusters of subtype B were shared between groups of gay men (groups 1-3) or between the heterosexual groups "heterosexual people of lower socioeconomic position" (group 4) and "injection drug users" (group 8). Clusters linking homosexual and heterosexual groups were associated with "older heterosexual and gay people on welfare" (group 5). "Migrant women in heterosexual partnerships" (group 6) and "heterosexual migrants on welfare" (group 7) shared non-B clusters with groups 4 and 5. Combining approaches from social and molecular epidemiology can provide insights into HIV-1 transmission and inform the design of prevention strategies.