Does "Individual Placement and Support" Satisfy the Users' Needs?

Fit for Work and Life—an eight-week program for improvement of functionality and quality of life

Background

The current two-stage study focused on work integration and quality of life of patients in an acute psychiatric day care unit. There is evidence that a longer absence from work due to illness negatively affects job retention, life satisfaction and clinical prognosis. Furthermore, there are individual supportive methods that proved to be effective in work integration. We therefore developed a specific group program Fit for Work and Life (FWL) for patients in an acute psychiatric day care unit focusing on work integration in the first labor market (in contrast to work in institutions for people with disabilities/second labor market).

Methods

Between 2018 and 2020, 62 patients (intervention group; IG) were enrolled in an 8‑week prospective job integration program and compared to 74 patients (control group; CG) who received treatment as usual (partly retrospective survey). Patients of both groups held a job when entering treatment. Main outcome was defined as their working status 4 weeks after the end of treatment as well as self-reported life satisfaction.

Results

At the end of treatment (i.e. the week prior to discharge), the IG participants reported higher overall life satisfaction as well as higher health-, self- and living condition-related satisfaction than controls. Functional and clinical improvement during treatment was linked to subsequently returning to work. Functional improvement was further linked to higher life satisfaction. Mediational analysis revealed an indirect path from functional improvement on life satisfaction via working status, i.e. the higher functional improvement during treatment, the higher the chance of successfully returning to work, which in turn increased life satisfaction.

Conclusion

Our findings suggest that programs such as FWL are useful interventions for employed patients to improve reintegration into work and life and to help to increase life satisfaction.

Predicting post treatment client satisfaction between behavioural activation for depression delivered either in-person or via home-based telehealth

Introduction

Treatment engagement, adherence, cancellations and other patient-centric data are important predictors of treatment outcome. But often these data are only examined retrospectively. In this investigation, we analysed data from a clinical trial focused on innovative delivery of depression treatment to identify which patients are likely to prefer either in-home or in-person treatment based on pre-treatment characteristics.

Methods

Patient satisfaction was assessed in a trial of individuals with depression treated using identical behavioural activation therapy protocols in person or through videoconferencing to the home ( N = 87 at post treatment: 42 in-person and 45 in-home participants). The Client Satisfaction Questionnaire was administered at the end of the treatment. A Tobit regression model was used to assess moderation using treatment assignment. Regression lines were generated to model treatment satisfaction as a function of treatment assignment and to identify whether and where the groups intersected. We examined the distributions of the contributing moderators to the subsets of participants above and below the intersection point to identify differences.

Results

While no significant differences in patient satisfaction were observed between the two groups, or between patients receiving treatment by different providers, baseline characteristics of the sample could be used to differentiate those with a preference for traditional, in-office care from those preferring in-home care.

Discussion

Participants who were more likely to prefer in-home care were characterized by larger proportions of veterans and lower-ranked enlisted service members. They also had more severe symptoms at baseline and less formal education. Understanding client reactions when selecting treatment modality may allow for a more satisfying patient experience.