[Access to and use of Data for better Healthcare: A Plea for a cooperative data and Research Infrastructure of Statutory and Private Health Insurers and the Network University Medicine (NUM)].

With the Network of University Medicine (NUM) and the Medical Informatics Initiative (MII), the BMBF is funding two pioneering, structure-building research measures that are now being merged. The data integration centers (DIZ) of the MII are to be consolidated in the NUM. The aim is to establish a standardized research infrastructure within which the existing data from the clinical routine care of the 36 German university hospitals, from clinical cohorts and clinical-epidemiological studies can be used for various research questions upon request and via coordinated processes.

Sociodemographic influences on private and professional contact behaviour during the COVID-19 pandemic in Germany: cross-sectional analysis based on a Regional Blood Donor Cohort.

Objective: The COVID-19 pandemic has had significant health and socioeconomic impacts worldwide. Extensive measures, including contact restrictions, were implemented to control the spread of the virus. This study aims to examine the factors that influenced private and professional contact behaviour during the COVID-19 pandemic.

[Determinants of the utilization of cancer screening among older adults in Saxony-Anhalt-What is the influence of health literacy?].

Background: In order to preserve health and thus social participation, it is important for older people to make health-related decisions, such as those regarding the use of a secondary prevention service like cancer screening. National and international studies show that various predictors determine cancer screening participation. The aim of this study is to determine the cancer screening utilization of older people in a structurally weak region.

Cohort profile: a longitudinal regional cohort study to assess COVID-19 seroprevalence in blood donors - baseline characteristics of the SeMaCo study participants.

Purpose: The SeMaCo study (Serologische Untersuchungen bei Blutspendern des Großraums Magdeburg auf Antikörper gegen SARS-CoV-2), a prospective, longitudinal cohort study with four survey phases spanning 3-5 months each over a period of 22 months, extends the spectrum of seroepidemiological studies in Germany. We present here a careful characterisation of the initial survey phase of the cohort to provide baseline data on infection incidence and obtained from questionnaires, focussing in particular on the attitude towards COVID-19 vaccinations, the vaccination success and the vaccination acceptance.

Participants: A total of 2195 individual blood donors from the donor pool of the blood donation service of the University Hospital Magdeburg were enrolled in the initial survey phase from 20 January 2021 to 30 April 2021.

[Research Data Center on Health - Vision for Further Development from the Research Perspective].

The German research data center for health will provide claims data of statutory health insurances. The data center was set up at the medical regulatory body BfArM pursuant to the German data transparency regulation (DaTraV). The data provided by the center will cover about 90% of the German population, supporting research on healthcare issues, including questions of care supply, demand and the (mis-)match of both.

Digital Health Information Provided by Public Health Stakeholders on Colorectal Cancer Screening: A Systematic Evaluation.

In the federal state of Germany, Saxony-Anhalt, colorectal cancer is the second most frequent cause of death among cancer patients. In order to identify cancer precursors early, colorectal cancer screenings are essential. In this context, health information contributes to informing individuals and imparting them with necessary knowledge to make a decision about (non-)utilization of preventive services.

Regional Utilization of Preventive Services in the 55-Plus Age Group: Protocol for a Mixed Methods Study.

Background: In Germany, the proportion of people with chronic diseases and multimorbidity is increasing. To counteract the emergence and worsening of age-related conditions, there is a need for preventive care structures and measures. The preventive services that are financed by statutory health insurance (SHI; eg, vaccinations, cancer screening) are only used by part of the German population.

Practical training in medical sociology "Analysis of social environments of living quarters". A field experiment during the COVID-19 pandemic.

In the summer semester 2020, a new format was introduced at the Otto-von-Guericke-University Magdeburg for first-year medical students in the subject of medical sociology with a neighborhood-related social environment analysis. Due to the COVID-19 pandemic, the didactic concept had to be changed at short notice from seminar group-related fieldwork in different districts of Magdeburg to individual work at the place of study or home, supplemented by accompanying online offers. The students were asked to characterize their neighborhood in terms of quality of life, health and illness as well as medical care by means of interviews with inhabitants of their immediate living environment, a neighborhood inspection with the taking of photographs and an analysis of official secondary data.

Good Practice Data Linkage (GPD): A Translation of the German Version.

The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies.

[The baseline assessment of the German National Cohort (NAKO Gesundheitsstudie): participation in the examination modules, quality assurance, and the use of secondary data].

Background: The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the midterm baseline dataset (MBD) of the recruitment.

Methods: More than 200,000 women and men aged 20-69 years derived from random samples of the German general population were recruited in 18 study centers (2014-2019).

[Routine Data from Emergency Departments: Varying Documentation Standards, Billing Modalities and Data Custodians at an Identical Unit of Care].

Background: Currently, there is a big need for data on emergency department (ED) utilization in Germany. One reason is the ongoing reorganisation of emergency care. Possible sources are routine data that are being collected based on legal regulations.

What understanding of economics do medical students have?

Economic topics appear in the medical studies curriculum at different times. Despite socio-political relevance, there is hardly any information about the degree of understanding that medical students have of "economics in medicine". The present study addresses the questions: What understanding of "economics in medicine" do medical students have before the start of the Practical Year? To what extent is economic teaching content understood as "economization" from outside the profession? Magdeburg medical students in the 5 year of study, who participated in preparatory seminars for the Practical Year (PY) in 2014 and 2015 (60 participants each), assessed the relevance of various seminar topics four months prior to the start of the semester.

[Good Practice Data Linkage].

Individual data linkage of different data sources for research purposes is being increasingly used in Germany in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to define such methodological standards for research projects.

[Linkage of large secondary and registry data sources with data of cohort studies : usage of a dual potential].

Cohort studies provide the best evidence of all epidemiological observational studies for the identification of causal relationships between risk factors and diseases. However, this design may lead to drawbacks that may affect the validity and reliability of the results. This follows in particular from systematic errors, such as selection bias or recall bias.