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Background Older adults with multimorbidity represent a growing segment of the population. Metrics to assess quality, safety and effectiveness of care can support policy makers and healthcare providers in addressing patient needs. However, there is a lack of valid measures of quality of care for this population. In the MULTIqual project, 24 general practitioner (GP)-reported and 14 patient-reported quality indicators for the healthcare of older adults with multimorbidity were developed in Germany in a systematic approach. This study aimed to select, validate and pilot core sets of these indicators. Methods In a cross-sectional observational study, we collected data in general practices (n = 35) and patients aged 65 years and older with three or more chronic conditions (n = 346). One-dimensional core sets for both perspectives were selected by stepwise backward selection based on corrected item-total correlations. We established structural validity, discriminative capacity, feasibility and patient-professional agreement for the selected indicators. Multilevel multivariable linear regression models adjusted for random effects at practice level were calculated to examine construct validity. Results Twelve GP-reported and seven patient-reported indicators were selected, with item-total correlations ranging from 0.332 to 0.576. Fulfilment rates ranged from 24.6 to 89.0%. Between 0 and 12.7% of the values were missing. Seventeen indicators had agreement rates between patients and professionals of 24.1% to 75.9% and one had 90.7% positive and 5.1% negative agreement. Patients who were born abroad (− 1.04, 95% CI = − 2.00/ − 0.08, p = 0.033) and had higher health-related quality of life (− 1.37, 95% CI = − 2.39/ − 0.36, p = 0.008), fewer contacts with their GP (0.14, 95% CI = 0.04/0.23, p = 0.007) and lower willingness to use their GPs as coordinators of their care (0.13, 95% CI = 0.06/0.20, p p = 0.002) and were less willing to use their GP to coordinate their care (0.16, 95% CI = 0.10/0.21, p Conclusions The quality indicator core sets are the first brief measurement tools specifically designed to assess quality of care for patients with multimorbidity. The indicators can facilitate implementation of treatment standards and offer viable alternatives to the current practice of combining disease-related metrics with poor applicability to patients with multimorbidity.

In den Notaufnahmen wachst die Arbeitsbelastung durch Patienten ohne medizinischen Notfall. Unterstutzungsangebote aus dem ambulanten Sektor haben sich noch nicht ausreichend etabliert. Um festzustellen, inwieweit es sich bei Patienten in Notaufnahmen um echte medizinische Notfalle handelt, sollen Patienten mit mindestens 2 und solche mit maximal 1 chronischen Erkrankung verglichen werden. Zudem sollen Einflussfaktoren auf die vorherige Inanspruchnahme ambulanter Strukturen identifiziert werden. Die Studienklientel stammt aus der Querschnittsstudie „PiNo-Nord“. In 5 Notaufnahmen wurden zwischen 10/2015 und 07/2016 alle „nicht sofort“ oder „nicht sehr dringend“ Behandlungsbedurftigen interviewt. Die Datenanalyse erfolgte explorativ und mithilfe multivariater logistischer Regression. Die 293 Patienten mit ≥2 chronischen Erkrankungen stellten verglichen mit den 847 Patienten mit max. 1 chronischen Erkrankung etwa genauso haufig einen medizinischen Notfall dar. Konsultationsanlasse (und Entlassungsdiagnosen) waren v. a. Traumata am Bewegungsapparat (33 %, n = 293 vs. 42 %, n = 847) oder der Haut (11 %, n = 293 vs. 13 %, n = 847). In beiden Gruppen spielten die haus- oder facharztliche Versorgung sowie diagnostische oder Behandlungsmoglichkeiten fur das Aufsuchen der Notaufnahme selten eine Rolle. Starkste Pradiktoren fur eine vorherige ambulante Behandlung waren langere Beschwerdedauer, subjektiv hohe Behandlungsdringlichkeit, mindestens zwei chronische Erkrankungen und eine den Bewegungsapparat betreffende Konsultation. In beiden Patientengruppen wurde kein Anhaltspunkt fur unnotiges Aufsuchen der Notaufnahme gefunden. Zum grosten Teil werden vorab ambulante Strukturen genutzt und die Notaufnahme nur bei tatsachlichem medizinischen Notfall aufgesucht.

Background Low health literacy is believed to be associated with behaviours that increase the risk of type 2 diabetes. But there is limited knowledge on the relation between health literacy (HL) and diabetes risk, and whether improving HL could be a potential prevention strategy. Therefore, the main purpose of this study was to examine the link between HL and diabetes risk among non-diabetic adults. Methods We used data from the Hamburg Diabetes Prevention Survey, a population-based cross-sectional study in Germany. One thousand, two hundred and fifty-five non-diabetic subjects aged 18–60 years were eligible. The German Diabetes Risk Score (GDRS, ranging 0 to 123 points) was used to determine the individual risk of type 2 diabetes. The short version of the European Health Literacy Questionnaire (HLS-EU-Q16, ranging 0 to 16 points) was applied to assess the individual self-reported HL. Subjects were asked to self-estimate their diabetes risk, which was then compared with the calculated GDRS. Descriptive statistics were calculated to investigate group differences in the GDRS and self-estimated diabetes risk. Linear as well as logistic regression models were performed to analyse potential influencing variables of the GDRS as well as incorrect self-estimated diabetes risk. In three nested statistical models for each outcome, these analyses were adjusted for age, gender, educational level and the presence of chronic conditions. Results According to the criteria of the GDRS, 996 (79.4%) subjects showed “low risk”, 176 (14.0%) “still low risk”, 53 (4.2%) “elevated risk”, and 30 (2.4%) “high to very high risk” to develop type 2 diabetes within the next 5 years. In the statistical models including all control variables, subjects with “inadequate HL” scored 2.38 points higher on the GDRS (95% CI 0.378 to 4.336; P = 0.020) and had a 2.04 greater chance to estimate their diabetes risk incorrectly (OR 2.04; 95% CI 1.33 to 3.14; P = 0.001) compared to those with “sufficient HL”. Conclusion The risk of type 2 diabetes is increased in people with inadequate self-reported HL. People with high diabetes risk and inadequate HL might be provided with educational programs to improve diabetes knowledge and reduce behavioural risk factors.

The article Driving status and health related quality of life among the oldest old: a population based examination using data from the AgeCoDe–AgeQualiDe prospective cohort study, written by André Hajek, Christian Brettschneider, Dagmar Lühmann, Hendrik van den Bussche, Birgitt Wiese, Silke Mamone, Siegfried Weyerer, Jochen Werle, Verena Leve, Angela Fuchs, Susanne Röhr, Janine Stein, Horst Bickel, Edelgard Mösch, Kathrin Heser, Michael Wagner, Martin Scherer, Wolfgang Maier, Steffi G. Riedel-Heller, Michael Pentzek and Hans-Helmut König was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 11 rd January 2021 without open access. With the author(s)’ decision to opt for open choice, the copyright of the article changed on 1st July 2021 to © The Author(s) 2021 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate whether changes were made.

Background From 2015 to 2016 Germany faced an influx of 1.16 million asylum seekers. In the state of Hamburg Primary Care walk-in clinics (PCWC) were commissioned at refugee camps because the high number of residents (57,000 individuals) could not be provided with access to regular healthcare services. Our study aims were (1) to describe the utilization of a PCWC by camp residents, (2) to compare episodes of continuous care with shorter care episodes and (3) to analyse which diagnoses predict episodes of continuous care in this setting. Methods A retrospective longitudinal observational study was conducted by reviewing all anonymized electronic medical records of a PCWC that operated from 4th November 2015 to 22nd July 2016 at a refugee camp in Hamburg. Episodes of care (EOC) were extracted based on the international classification of primary care-2nd edition (ICPC-2). Outcome parameters were episode duration, principal diagnoses, and medical procedures. Results We analysed 5547 consultations of 1467 patients and extracted 4006 EOC. Mean patient age was 22.7 ± 14.8 years, 37.3% were female. Most common diagnoses were infections (44.7%), non-communicable diseases (22.2%), non-definitive diagnoses describing symptoms (22.0%), and injuries (5.7%). Most patients (52.4%) had only single encounters, whereas 19.8% had at least one EOC with a duration of ≥ 28 days (defined as continuous care). Several procedures were more prevalent in EOC with continuous care: Blood tests (5.2 times higher), administrative procedures (4.3), imaging (3.1) and referrals to secondary care providers (3.0). Twenty prevalent ICPC-2-diagnosis groups were associated with continuous care. The strongest associations were endocrine/metabolic system and nutritional disorders (hazard ratio 5.538, p Conclusion A wide spectrum of acute and chronic health conditions could be treated at a GP-led PCWC with few referrals or use of medical resources. But we also observed episodes of continuous care with more use of medical resources and referrals. Therefore, we conclude that principles of primary care like continuity of care, coordination of care and management of symptomatic complaints could complement future healthcare concepts for refugee camps.

Background Among other factors, the patients’ consultation reasons and GPs’ spectrum of services determine the process and outcome of the medical treatment. So far, however, there has been little information on differences in reasons for consultation and GPs’ services between urban and rural areas. Our study’s goal was thus to investigate these factors in relation to the regional location of GPs’ practices. Methods We conducted a cross-sectional observational study based on standardised GP interviews in a quota sampling design. All counties and independent cities within a radius of 120 km around Hamburg were divided into three regional categories (urban area, environs, rural area) and stratified proportionally to the population size. Differences in the number of reasons for consultation and services were analysed by multivariate linear regressions in mixed models adjusted for random effects on the levels of the German federal states and administrative districts. Differences in individual consultation reasons and services were identified by logistic regression via stepwise forward and backward selection. Results Primary care practices in 34 of the 37 selected administrative districts (91.9%) were represented in the dataset. In total, 211 GPs were personally interviewed. On average, GPs saw 344 patients per month with a slightly higher number of patients in rural areas. They reported 59.1 ± 15.4 different reasons for consultation and 30.3 ± 3.9 different services. There was no statistically significant regional variation in the number of different consultation reasons, but there was a broader service spectrum by rural GPs (ß = − 1.42; 95% confidence interval − 2.75/− 0.08; p = 0.038) which was statistically explained by a higher level of medical training. Additionally, there were differences in the frequency of individual consultation reasons and services between rural and urban areas. Conclusion GPs in rural areas performed more frequently services usually provided by medical specialists in urban areas. This might be caused by a low availability of specialists in rural areas. The association between medical training and service spectrum might imply that GPs compensate the specific needs of their patients by completing advanced medical training before or after setting up a medical practice. Trial registration The study was registered in ClinicalTrials.gov (NCT02558322).