Objective. To investigate whether interventions that have positive effects on psychological symptoms and quality of life compared with usual care would also reduce days on sick leave. Design. A randomized controlled trial. Setting. A large primary health care centre in Stockholm, Sweden. Intervention. Patients with common mental disorders were recruited by their GPs and randomized into one of two group interventions that took place in addition to usual care. These group interventions were: (a) group cognitive behavioural therapy (CBT), and (b) group multimodal intervention (MMI). Both types of intervention had previously shown significant effects on quality of life, and MMI had also shown significant effects on psychological symptoms. Patients. Of the 245 randomized patients, 164 were employed and had taken sick leave periods of at least two weeks in length during the study period of two years. They comprised the study group. Main outcome measures. The odds, compared with usual care, for being sick-listed at different times relative to the date of randomization. Results. The mean number of days on sick leave increased steadily in the two years before randomization and decreased in the two years afterwards, showing the same pattern for all three groups .The CBT and MMI interventions did not show the expected lower odds for sick-listing compared with usual care during the two-year follow-up. Conclusion. Reduction in psychological symptoms and increased well-being did not seem to be enough to reduce sickness absence for patients with common mental problems in primary care. The possibility of adding workplace-oriented interventions is discussed.

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Learning theory provides a foundation for understanding and deriving treatment principles for impacting a spectrum of functional processes relevant to the construct of depression. While behavioral interventions have been commonplace in the cognitive behavioral tradition, most often conceptualized within a cognitive theoretical framework, recent years have seen renewed interest in more purely behavioral models. These modern learning theory accounts of depression focus on the interchange between behavior and the environment, mainly in terms of lack of reinforcement, extinction of instrumental behavior, and excesses of aversive control, and include a conceptualization of relevant cognitive and emotional variables. These positions, drawn from extensive basic and applied research, cohere with biological theories on reduced reward learning and reward responsiveness and views of depression as a heterogeneous, complex set of disorders. Treatment techniques based on learning theory, often labeled Behavioral Activation (BA) focus on activating the individual in directions that increase contact with potential reinforcers, as defined ideographically with the client. BA is considered an empirically well-established treatment that generalizes well across diverse contexts and populations. The learning theory account is discussed in terms of being a parsimonious model and ground for treatments highly suitable for large scale dissemination.

Background.The purpose was to test the effectiveness of two transdiagnostic group interventions compared to care as usual (CAU) for patients with anxiety, depressive or stress-related disorders within a primary health care context.Objectives.To compare the effects of cognitive-based-behavioural therapy (CBT) and multimodal intervention (MMI) on the quality of life and relief of psychological symptoms of patients with common mental disorders or problems attending primary health care centre.Methods.Patients (n = 278), aged 18–65 years, were referred to the study by the GPs and 245 were randomized to CAU or one of two group interventions in addition to CAU: (i) group CBT administered by psychologists and (ii) group MMI administered by assistant nurses. The primary outcome measure was the Mental Component Summary score of short form 36. Secondary outcome measures were Perceived Stress Scale and Self-Rating Scale for Affective Syndromes. The data were analysed using intention-to-treat with a linear mixed model.Results.On the primary outcome measure, the mean improvement based on mixed model analyses across post- and follow-up assessment was significantly larger for the MMI group than for the CBT (4.0; P = 0.020) and CAU (7.5; P = .001) groups. Participants receiving CBT were significantly more improved than those in the CAU group. On four of the secondary outcome measures, the MMI group was significantly more improved than the CBT and CAU groups. The course of improvement did not differ between the CBT group and the CAU group on these measures.Conclusions.Transdiagnostic group treatment can be effective for patients with common mental disorders when delivered in a primary care setting. The group format and transdiagnostic approach fit well with the requirements of primary care.

Outcome was predicted from pre-treatment characteristics for 62 patients with a primary diagnosis of panic disorder with agoraphobia of moderate to severe magnitude who were treated with 16 sessions of behavioural therapy. Two approaches to the task of prediction was compared: (i) predicting class membership as clinically significantly improved at post-test and at 1-year follow-up on a composite score; and (ii) predicting individual change from the same variable. Agoraphobic severity was found to be a significant predictor of clinically significant improvement at both post-treatment and follow-up. It was also found to be a significant predictor of change at post-treatment, but not at follow-up. Instead the duration of the disorder was found to be a significant predictor of change at follow-up. Perceived treatment credibility, motivation, anxious cluster personality disorder or trait anxiety were not identified as significant predictors of outcome.

Gambling is a field that harbors both harmless recreational activities and pathological varieties that may be considered an addictive disorder. It is also a field that deserves special interest from a learning theoretical perspective, since pathological gambling represents both a pure behavioral addiction involving no ingestion of substances and behavior that exhibits extreme resistance to extinction. As the field of applied psychology of learning, or behavior analysis, espouses a bottom-up approach, the basis of understanding begins in basic research on behavioral principles. This article provides a narrative review of the field of laboratory experiments conducted to disentangle the learning processes of gambling behavior. The purpose of this review is to give an overview of learning principles in gambling that has been demonstrated under lab conditions and that may be of importance in the development of clinical applications when gambling has become a problem. Several processes, like the importance of delay and probability discounting, reinforcement without actual winning, and rule governed behavior have been experimentally verified. The common denominator appears to be that they impede extinction. Other areas, especially Pavlovian conditioning, are scarce in the literature. Our recommendations for the future would be to study Pavlovian and instrumental conditioning in interaction. Treatment programs should profit from strategies that serve to enhance extinction learning. We also conclude that online gambling should provide a promising environment for controlled research on how to limit excessive gambling, provided that the gambling companies are interested in that.

Therapeutic support improved outcome via higher patient involvement rather than having a direct effect on outcome. Thus, relationship and methods could be regarded as interactional, and patient involvement should be considered. These factors could be further studied in treatments where specific ingredients within the therapeutic contact can be experimentally manipulated.

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