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Additional file 9: Table 3. Description of missing data in primary and secondary data samples in MTS category, transportation to ED, discharge type, and case type.

Background: Hip fractures are a major public health problem with increasing relevance in aging societies. They are associated with high mortality rates, morbidity, and loss of independence. The aim of the EMAAge study was to determine the impact of hip fractures on patient-reported health-related quality of life (HRQOL), and to identify potential risk factors for worse outcomes. Methods: EMAAge is a multicenter, prospective cohort study of patients who suffered a hip fracture. Patients or, if necessary, proxies were interviewed after initial treatment and after six months using standardized questionnaires including the EQ-5D-5L instrument, the Oxford Hip Score, the PHQ-4, the Short Nutritional Assessment Questionnaire, and items on patients living situation. Medical data on diagnoses, comorbidities, medications, and hospital care were derived from hospital information systems. Results: A total of 326 patients were included. EQ-5D index values decreased from a mean of 0.70 at baseline to 0.63 at six months. The mean self-rated health on the EQ-VAS decreased from 69.9 to 59.4. Multivariable linear regression models revealed three relevant associated factors with the six-months EQ-5D index: symptoms of depression and anxiety, pre-fracture limitations in activities of daily living, and no referral to a rehabilitation facility had a negative impact. In addition, the six-months EQ-VAS was negatively associated with polypharmacy, living in a facility, and migration background. Conclusions: Hip fractures have a substantial negative impact on patients HRQOL. Our results suggest that there are modifying factors that need further investigation including polypharmacy and migration background. Structured and timely rehabilitation seems to be a protective factor.

Additional file 1. Selection of items used in the online survey.

Additional file 5: Figure 5. Graphical distribution of transportation to ED in primary and secondary data samples in EMAAGE, EMACROSS, and EMASPOT.

Additional file 7: Table 1. Description of non-responders and study participants regarding gender and age from screening logs.

Additional file 8: Table 2. Inclusion criteria for the three EMANET sub-studies EMAAGE, EMACROSS, and EMASPOT.

Additional file 6: Figure 6. Graphical distribution of discharge type in primary and secondary data samples in EMAAGE, EMACROSS, and EMASPOT.

Additional file 4: Figure 4. Graphical distribution of MTS categories in primary and secondary data samples in EMAAGE, EMACROSS, and EMASPOT.

Additional file 2: Figure 2. Illustration of primary and secondary data samples of the study populations in EMACROSS.

Additional file 3: Figure 3. Illustration of primary and secondary data samples of the study populations in EMASPOT.

Background Eating in absence of hunger is quite common and often associated with an increased energy intake co-existent with a poorer food choice. Intuitive eating (IE), i.e., eating in accordance with internal hunger and satiety cues, may protect from overeating. IE, however, requires accurate perception and processing of one’s own bodily signals, also referred to as interoceptive sensitivity. Training interoceptive sensitivity might therefore be an effective method to promote IE and prevent overeating. As most studies on eating behavior are conducted in younger adults and close social relationships influence health-related behavior, this study focuses on middle-aged and older couples. Methods The present pilot randomized intervention study aims at investigating the feasibility and effectiveness of a 21-day mindfulness-based training program designed to increase interoceptive sensitivity. A total of N = 60 couples participating in the NutriAct Family Study, aged 50–80 years, will be recruited. This randomized-controlled intervention study comprises three measurement points (pre-intervention, post-intervention, 4-week follow-up) and a 21-day training that consists of daily mindfulness-based guided audio exercises (e.g., body scan). A three-arm intervention study design is applied to compare two intervention groups (training together as a couple vs. training alone) with a control group (no training). Each measurement point includes the assessment of self-reported and objective indicators of interoceptive sensitivity (primary outcome), self-reported indicators of intuitive and maladaptive eating (secondary outcomes), and additional variables. A training evaluation applying focus group discussions will be conducted to assess participants’ overall acceptance of the training and its feasibility. Discussion By investigating the feasibility and effectiveness of a mindfulness-based training program to increase interoceptive sensitivity, the present study will contribute to a deeper understanding of how to promote healthy eating in older age., Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe; 826

This study aims to perform a quantitative content analysis of German videos available on YouTube about the observed personal physiological and psychological changes of women after the discontinuation of combined oral contraceptives.

Additional file 1. Included ICD-10- and OPS-codes.

Mental health conditions are frequent among patients with somatic illnesses, such as cardiac diseases. They often remain undiagnosed and are related to increased utilization of outpatient services, including emergency department care. The objective of this qualitative study was to investigate the significance of the emergency department in the patients' course of treatment and from the physicians' perspective. An improved understanding of the subjective needs of this specific patient group should provide hints for targeted treatment. This study is part of the prospective EMASPOT study, which determined the prevalence of mental health conditions in emergency department patients with cardiac ambulatory care sensitive conditions. The study on hand is the qualitative part, in which 20 semi-structured interviews with patients and a focus group with six ED physicians were conducted. Data material was analyzed using the qualitative content analysis technique, a research method for systematically identifying themes or patterns. For interpretation, we used the "typical case approach". We identified five "typical patient cases" that differ in their cardiac and mental health burden of disease, frequency and significance of emergency department and outpatient care visits: (1) frequent emergency department users with cardiac diseases and mental health conditions, (2) frequent emergency department users without cardiac diseases but with mental health conditions, (3) needs-based emergency department users with cardiac diseases; (4) targeted emergency department users as an alternative to specialist care and (5) patients surprised by initial diagnose of cardiac disease in the emergency department. While patients often perceived the emergency department visit itself as a therapeutic benefit, emergency department physicians emphasized that frequent examinations of somatic complaints can worsen mental health conditions. To improve care, they proposed close cooperation with the patients' primary care providers, access to patients' medical data and early identification of mental health conditions after cardiac diagnoses, e.g., by an examination tool.

Hintergrund: Mit circa 2,2 Mio. Patient*innen pro Jahr ist der atraumatische Bauchschmerz eines der häufigsten Leitsymptome in der Notaufnahme. Die intrahospitale Mortalität beträgt 5,1%, und ist damit deutlich höher als beim Leitsymptom Brustschmerz mit einer Krankenhaussterblichkeit [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Hintergrund und Stand (inter)nationaler Forschung: Proximale Femurfrakturen gehören zu den häufigsten und schwerwiegendsten Notfallindikationen bei älteren und geriatrischen Patient*innen. Sie sind mit einer erhöhten Mortalität assoziiert und führen bei vielen Betroffenen [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Die Methode der Beobachtung spielt in der Methodendiskussion und der Forschungspraxis der Versorgungsforschung bislang eine untergeordnete Rolle. Beobachtungen ermöglichen eine weitere Perspektive auf das Versorgungsgeschehen jenseits von quantitativen Routinedaten, Fragebögen und qualitativen [zum vollständigen Text gelangen Sie über die oben angegebene URL]

Introduction: The crowding of emergency departments (ED) has been a growing problem for years, putting the care of critically ill patients increasingly at risk. The INDEED project's overall aim is to get a better understanding of ED utilization and to evaluate corresponding primary health care use patterns before and after an ED visit while driving forward processes and methods of cross-sectoral data merging. We aim to identify adequate utilization of EDs and potentially avoidable patient contacts as well as subgroups and clusters of patients with similar care profiles. Methods: INDEED is a joint endeavor bringing together research institutions and hospitals with EDs in Germany. It is headed by the Charite-Universitatsmedizin Berlin, collaborating with Otto von Guericke University Magdeburg, Technische Universitat Berlin, the Central Research Institute of Ambulatory/Outpatient Health Care in Germany (Zi), and the AOK Research Institute as part of the Federal Association of AOK, as well as experts in the technological, legal, and regulatory aspects of medical research (TMF). The Institute for Information Technology (OFFIS) was involved as the trusted third party of the project. INDEED is a retrospective study of approximately 400,000 adult patients with statutory health insurance who visited the ED of one of 16 participating hospitals in 2016. The routine hospital data contain information about treatment in the ED and, if applicable, about the subsequent hospital stay. After merging the patients' hospital data from 2016 with their outpatient billing data from 2 years before to 1 year after the ED visit (years 2014-2017), a harmonized dataset will be generated for data analyses. Due to the complex data protection challenges involved, first results will be available in 2021. Discussion: INDEED will provide knowledge on extracting and harmonizing large scale data from varying routine ED and hospital information systems in Germany. Merging these data with the corresponding outpatient care data of patients offers the opportunity to characterize the patient's treatment in outpatient care before and after ED use. With this knowledge, appropriate interventions may be developed to ensure adequate patient care and to avoid adverse events such as ED crowding.

Additional file 1: Table S1. Inclusion criteria for the three EMANet sub-studies EMAAge, EMACROSS, and EMASPOT.

Supplemental material, sj-docx-2-mdm-10.1177_0272989X211040815 for Key Factors in Decision Making for ECLS: A Binational Factorial Survey by Daniel Drewniak, Giovanna Brandi, Philipp Karl Buehler, Peter Steiger, Niels Hagenbuch, Sabine Stamm-Balderjahn, Liane Schenk, Ana Rosca and Tanja Krones in Medical Decision Making

Additional file 2: Table S2. Scenario B estimates for fixed and random effects from multilevel linear regression analysis (random intercept model) for self-reported health as dependent variable and goodness-of-fit statistics.

Additional file 3: Table S3. Scenario C estimates for fixed and random effects from multilevel linear regression analysis (random intercept model) for self-reported health as dependent variable and goodness-of-fit statistics.

Additional file 4: Table S4. Scenario C estimates for fixed and random effects from multilevel linear regression analysis (random intercept model) for life satisfaction as dependent variable and goodness-of-fit statistics.

Supplemental material, sj-docx-1-mdm-10.1177_0272989X211040815 for Key Factors in Decision Making for ECLS: A Binational Factorial Survey by Daniel Drewniak, Giovanna Brandi, Philipp Karl Buehler, Peter Steiger, Niels Hagenbuch, Sabine Stamm-Balderjahn, Liane Schenk, Ana Rosca and Tanja Krones in Medical Decision Making

Additional file 1.