[Postpartum Care by Midwives: Socioeconomic Status has a Strong Influence on the Amount of Care Received An Analysis with Routine Data from BARMER Health Insurance]. / Aufsuchende Wochenbettbetreuung: Die sozioökonomische Lage hat einen starken Einfluss auf den Betreuungsumfang Eine Analyse mit Routinedaten der BARMER.

BACKGROUND: Socio-economic situation is associated with inequalities in access to health care and health-related resources. This also applies to pregnancy, birth and the postpartum period. Compared to other European countries, Germany has very good care options for the postpartum period. It has an unique system of postpartum care, which comprises home visits by midwives for 12 weeks after birth and beyond in problem cases and thus has structurally good care options. So far, however, there are hardly any studies based on routine data that show which mothers receive homevisits in postpartum care and to what extent. METHOD: The study population comprised 199,978 women insured with BARMER who gave birth to at least one child in the years 2017-2020. Some women were pregnant several times in this period of time. The services billed by freelance midwives for outreach midwifery care in the puerperium were considered for 227,088 births, taking into account the socioeconomic situation of the mothers. RESULTS: According to the definition of the German Institute for Economic Research, 26% of the mothers belonged to a low income group, 46% to a medium income group and 29% to a high income group. Similar to what was shown for midwifery care during pregnancy, large differences were also found with regard to postpartum care: While 90.5% of the women with a high income received home visits, only 83.5% of women with a medium income did so, and only 67.9% of women with a low income. The groups did not differ with regard to other characteristics such as rate of caesarean section, preterm births, twins, age or concomitant diseases to an extent that could explain the differences in care. Women who had received midwifery services in pregnancy were much more likely to receive home visits by a midwife in the postpartum period. Furthermore, there was a correlation with the density of midwives in the respective region. CONCLUSIONS: The results suggest that access to home-based postpartum care by freelance midwives is significantly limited for low-income women. In contrast to antenatal care, women in the postpartum period cannot switch to other service providers, as outreach postpartum care is a reserved activity of midwives. Women with low incomes thus receive less midwifery care, although they have a higher need for support (Eickhorst et al. 2016).

Development of a risk score to identify patients at high risk for a severe course of COVID-19.

Aim: We aimed to develop a risk score to calculate a person's individual risk for a severe COVID-19 course (POINTED score) to support prioritization of especially vulnerable patients for a (booster) vaccination. Subject and methods: This cohort study was based on German claims data and included 623,363 individuals with a COVID-19 diagnosis in 2020. The outcome was COVID-19 related treatment in an intensive care unit, mechanical ventilation, or death after a COVID-19 infection. Data were split into a training and a test sample. Poisson regression models with robust standard errors including 35 predefined risk factors were calculated. Coefficients were rescaled with a min-max normalization to derive numeric score values between 0 and 20 for each risk factor. The scores' discriminatory ability was evaluated by calculating the area under the curve (AUC). Results: Besides age, down syndrome and hematologic cancer with therapy, immunosuppressive therapy, and other neurological conditions were the risk factors with the highest risk for a severe COVID-19 course. The AUC of the POINTED score was 0.889, indicating very good predictive validity. Conclusion: The POINTED score is a valid tool to calculate a person's risk for a severe COVID-19 course. Supplementary Information: The online version contains supplementary material available at 10.1007/s10389-023-01884-7.

Optimising the impact of COVID-19 vaccination on mortality and hospitalisations using an individual additive risk measuring approach based on a risk adjustment scheme.

In this population-based cohort study, billing data from German statutory health insurance (BARMER, 10% of population) are used to develop a prioritisation model for COVID-19 vaccinations based on cumulative underlying conditions. Using a morbidity-based classification system, prevalence and risks for COVID-19-related hospitalisations, ventilations and deaths are estimated. Trisomies, behavioural and developmental disorders (relative risk: 2.09), dementia and organic psychoorganic syndromes (POS) (2.23) and (metastasised) malignant neoplasms (1.99) were identified as the most important conditions for escalations of COVID-19 infection. Moreover, optimal vaccination priority schedules for participants are established on the basis of individual cumulative escalation risk and are compared to the prioritisation scheme chosen by the German Government. We estimate how many people would have already received a vaccination prior to escalation. Vaccination schedules based on individual cumulative risk are shown to be 85% faster than random schedules in preventing deaths, and as much as 57% faster than the German approach, which was based primarily on age and specific diseases. In terms of hospitalisation avoidance, the individual cumulative risk approach was 51% and 28% faster. On this basis, it is concluded that using individual cumulative risk-based vaccination schedules, healthcare systems can be relieved and escalations more optimally avoided.

[Potentials of cooperative quality management initiatives: BQS Institute projects, January 2010 - July 2013]. / Bericht aus der Praxis: Möglichkeiten einrichtungsübergreifender Qualitätsinitiativen. QS-Projekte des BQS-Instituts Januar 2010 bis Juli 2013.

Alongside the projects of internal quality management and mandatory quality assurance there is a variety of quality driven projects across institutions initiated and run by various partners to continuously improve the quality of care. The multiplicity and characteristics of these projects are discussed on the basis of projects run by the BQS Institute between 2010 and 2013. In addition, useful interactions and linking with mandatory quality benchmarking and with internal quality management are discussed. (As supplied by publisher).