[Body Dysmorphic Disorder: Diagnosis, Treatment and Challenges in the General Practice]. / Die körperdysmorphe Störung: Diagnostik, Behandlung und Herausforderungen in der hausärztlichen Praxis.

Body Dysmorphic Disorder: Diagnosis, Treatment and Challenges in the General Practice Abstract. Body dysmorphic disorder (point prevalence: 1.7-2.4 %) is characterized by excessive preoccupation with one or more subjectively perceived blemishes of the appearance, as a result of which those affected show a high burden of disease due to avoidance behavior and time-consuming rituals, and often secondary problems (including depression, suicidal tendencies). The disorder is often accompanied by pronounced shame and is therefore associated with challenges in diagnostics, which is why the indication and specialist treatment (first-line treatment: cognitive-behavioural therapy) are usually only carried out with great latency. Family doctors can play a key role in diagnosis and treatment because of the often long-standing relationship of trust with their patients. Targeted screening, active and at the same time prudent discussion, as well as knowledge of treatment options and special features of the disease pattern (e.g. fluctuating understanding of the disease, desire for plastic surgery measures) are necessary. Against this background, the article provides an overview of the clinic, diagnostics and therapy and concludes with specific challenges and practical recommendations for family practice.

Effectiveness of case management as a cross-sectoral healthcare provision for women with breast cancer.

OBJECTIVE: Case management (CM) programs are intended to improve care coordination for cancer patients. This quasi-experimental, controlled study evaluated whether such a program was effective in improving health-related quality of life and reducing the psychological distress of breast cancer patients. METHODS: For the study, 126 patients with CM and 118 patients with treatment as usual (TAU) were surveyed at baseline, a 6-month follow-up and a 12-month follow-up. Comparisons of the two groups with regard to quality of life (Short Form-8, European Organization for Research and Treatment of Cancer-11; primary outcome) and psychological distress (Hospital Anxiety and Depression Scale, distress thermometer; secondary outcome) were conducted. RESULTS: Univariate t-tests regarding the primary and secondary outcomes demonstrated improvements in the relevant outcomes at the 6-month and 12-month follow-ups for the intervention group as well as for the control group. An analysis of covariance revealed that the controls showed a higher level of physical quality of life at the 12-month follow-up than the other time points and no differences at 6 months after the baseline. CONCLUSIONS: The tested CM model did not improve the quality of life or psychological well-being of the patients beyond treatment as usual. Possible reasons include that the treatment was already of high standards in the control group or that there are possibly different impacts than found in the literature regarding different forms of organization in CM. The need for and the tailoring of this CM model as well as the transfer of CM to other oncological indications remain to be clarified. Copyright © 2016 John Wiley & Sons, Ltd.

[psychenet - The Hamburg Network for Mental Health: Evaluation of the Health Network Depression from the Perspective of Participating General Practitioners, Psychotherapists and Psychiatrists]. / psychenet - Hamburger Netz psychische Gesundheit: Evaluation des Gesundheitsnetzes Depression aus Sicht der teilnehmenden Hausärzte, Psychotherapeuten und Psychiater.

OBJECTIVE: Evaluation of satisfaction and acceptance of a stepped care model in the Health Network Depression from the perspective of general practitioners, psychotherapists and psychiatrists. METHODS: Cross-sectional questionnaire study with n = 61 care providers. RESULTS: All elements of the stepped care model, e. g. screening, diagnostic, and monitoring checklists, guidelines, low-intensity treatment options and IT-tools were utilized by over 75 % of partners and obtained largely positive ratings. CONCLUSION: This positive evaluation provides a basis for further participative development and transfer into health care.

Self-efficacy and fear of cancer progression during the year following diagnosis of breast cancer.

OBJECTIVE: The aim of this study was to investigate fear of disease progression (FoP) during the year following diagnosis of breast cancer and its association with general self-efficacy (SE). METHODS: In a prospective study, 118 breast cancer patients were recruited shortly after diagnosis disclosure (response rate: 54%) and at 1-year follow-up (follow-up rate: 90%). Participants completed self-report measures of general self-efficacy (General Self-Efficacy Scale) and fear of progression (short form of the Fear of Progression Questionnaire). RESULTS: Cross-sectional regression analysis revealed that high FoP is significantly associated with low SE, even when controlling for demographic and medical characteristics (total R² = 0.17). Having children and a relatively short time since diagnosis also significantly predicted higher FoP. Longitudinal analyses showed that FoP decreased significantly over time (p = 0.001; d = 0.25), but a significant decrease was only observed for patients with high initial FoP (p < 0.001; d = 0.74) and not for those with low initial FoP (p = 0.688; d = 0.08). SE was not a significant predictor of FoP at follow-up when controlling for initial FoP and other patient characteristics (incremental R² = 0.001; p = 0.674; total R² = 0.47). Overall, only initial FoP significantly predicted FoP at follow-up (p < 0.001; ß = 0.671). CONCLUSION: Findings that low SE is associated with high FoP can help to improve the treatment of dysfunctional fears in breast cancer patients. As FoP changes only slightly over time, treatment to enhance SE and reduce FoP should be initiated soon after disease disclosure.

Class Evolution Tree: a graphical tool to support decisions on the number of classes in exploratory categorical latent variable modeling for rehabilitation research.

The aim of our study was to develop a graphical tool that can be used in addition to standard statistical criteria to support decisions on the number of classes in explorative categorical latent variable modeling for rehabilitation research. Data from two rehabilitation research projects were used. In the first study, a latent profile analysis was carried out in patients with cancer receiving an inpatient rehabilitation program to identify prototypical combinations of treatment elements. In the second study, growth mixture modeling was used to identify latent trajectory classes based on weekly symptom severity measurements during inpatient treatment of patients with mental disorders. A graphical tool, the Class Evolution Tree, was developed, and its central components were described. The Class Evolution Tree can be used in addition to statistical criteria to systematically address the issue of number of classes in explorative categorical latent variable modeling.