Regionalisierter Handel : High-Level-Use-Case 5M& 5K, TP5, AP 5.2

In diesem Ergebnisdokument geht es um die Konzeptionierung und Teilumsetzung des lokalen Handels und Austausches von Energie und Flexibilität. Für die Umsetzung wurden die neusten IKT-Technologien wie Distributed Ledger eingesetzt. Die aktive Markteinbindung von Verbrauchern und Prosumern wird angestrebt. Der Ansatz wurde in den Zellen WIRCommunity und Stromgemeinschaft Murg erprobt

Evaluation of a flexible and integrative psychiatric care model in a department of child and adolescent psychiatry in Tübingen, Germany: study protocol (EVA_TIBAS)

Background!#!Model projects for flexible and integrated treatment (FIT) in Germany aim at advancing the quality of care for people with mental disorders. A new FIT model project was established in 2017 at the Department of child and adolescent psychiatry (KJP) of the University Hospital Tübingen (Universitätsklinikum Tübingen, UKT). The study design of EVA_TIBAS presented here describes the evaluation of the FIT model project at the KJP of the UKT. This evaluation aims at quantifying the anticipated FIT model project changes, which are to improve patients' cross-sectoral care at the same maximum cost as standard care.!##!Methods!#!EVA_TIBAS is a controlled cohort study using a mix of quantitative and qualitative methods. The FIT evaluation consists of three modules. In Module A, anonymized claims data of a statutory health insurance fund will be used to compare outcomes (duration of inpatient and day care psychiatric treatment, inpatient and day care psychiatric length of stay, outpatient psychiatric treatment in hospital, inpatient hospital readmission, emergency admission rate, direct medical costs) of patients treated in the model hospital with patients treated in structurally comparable control hospitals (estimated sample size = ca. 600 patients). In Module B, patient-reported outcomes (health related quality of life, symptom burden, return to psychosocial relationships (e.g. school, friends, hobbies), treatment satisfaction, societal costs) will be assessed quantitatively using validated questionnaires for the model and two control hospitals (estimated sample size = ca. 300 patients). A subsequent health economic evaluation will be based on cost-effectiveness analyses from both the insurance fund's and the societal perspective. In Module C, about 30 semi-structured interviews will examine the quality of offer, effects and benefits of the service offered by the social service of the AOK Baden-Württemberg (for stabilizing the overall situation of care in the family) in the model hospital. A focus group discussion will address the quality of cooperation between employees of the university hospital and the social services.!##!Discussion!#!The results of this evaluation will be used to inform policy makers whether this FIT model project or aspects of it should be implemented into standard care.!##!Trial registration!#!This study was registered at ClinicalTrials.gov PRS (ID: NCT04727359 , date: 27 January 2021)

Counseling and support services for healthcare workers in German university hospitals during the pandemic—descriptive results of a Germany-wide cross-sectional survey

BACKGROUND: Due to the SARS-CoV-2 pandemic, healthcare workers (HCWs) are experiencing tremendous levels of emotional and physical stress. Hospitals are trying to help personnel cope with work-related pressure. The aim of this study was to assess HCWs’ awareness and utilization of counseling and support services during the pandemic, HCWs’ unmet counseling and support needs, and the type and content of these services. METHODS: A cross-sectional online survey was conducted from January to June 2021 through the German national research organization Network University Medicine (NUM). All participating hospitals (6 in total) were asked to inform their employees about the study. RESULTS: A total of 1,495 HCWs were included in the analysis. Of these, 42.8% (n = 637) were frontline HCWs (who had contact with COVID-19 patients), 23.1% (n = 344) were second-line HCWs (who only had contact with non-COVID-19 patients) and 34.1% (n = 508) had no contact with any patients. Participating hospitals offer various counseling and support services for their staff. The percentage of respondents who were unaware of available counseling and support services ranged from 5.0 to 42.0%. Depending on the type of counseling and support services, 23.0–53.6% of the respondents indicated that counseling and support services were provided but not used, while 1.7–11.6% indicated that, despite the need for them, such services were not available. HCWs’ overall satisfaction with the provided counseling and support services and their unmet support needs differed by patient contact: Frontline HCWs reported more unmet needs for counseling and support than second-line HCWs, while second-line HCWs reported more unmet needs than HCWs without patient contact. CONCLUSION: The results indicate that hospitals should make more efforts to inform HCWs about available counseling and support services. Hospitals could also create networks where HCWs could share information about the type and content of services and their experiences with various counseling and support services. These steps would enable hospitals to respond more quickly and effectively to the problems facing HCWs during pandemics

Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife study

: Early identification and intervention of individuals with an increased risk for bipolar disorder (BD) may improve the course of illness and prevent long‑term consequences. Early-BipoLife, a multicenter, prospective, naturalistic study, examined risk factors of BD beyond family history in participants aged 15-35 years. At baseline, positively screened help-seeking participants (screenBD at-risk) were recruited at Early Detection Centers and in- and outpatient depression and attention-deficit/hyperactivity disorder (ADHD) settings, references (Ref) drawn from a representative cohort. Participants reported sociodemographics and medical history and were repeatedly examined regarding psychopathology and the course of risk factors. N = 1,083 screenBD at-risk and n = 172 Ref were eligible for baseline assessment. Within the first two years, n = 31 screenBD at-risk (2.9 %) and none of Ref developed a manifest BD. The cumulative transition risk was 0.0028 at the end of multistep assessment, 0.0169 at 12 and 0.0317 at 24 months (p = 0.021). The transition rate with a BD family history was 6.0 %, 4.7 % in the Early Phase Inventory for bipolar disorders (EPIbipolar), 6.6 % in the Bipolar Prodrome Interview and Symptom Scale-Prospective (BPSS-FP) and 3.2 % with extended Bipolar At-Risk - BARS criteria). In comparison to help-seeking young patients from psychosis detection services, transition rates in screenBD at-risk participants were lower. The findings of Early-BipoLife underscore the importance of considering risk factors beyond family history in order to improved early detection and interventions to prevent/ameliorate related impairment in the course of BD. Large long-term cohort studies are crucial to understand the developmental pathways and long-term course of BD, especially in people at- risk