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Background: Cancer screening participation rates in Germany differ depending on patients’ gender. International studies have found that patient–physician gender concordance fosters recommendation and conducting of cancer screening, and especially cancer screening for women. Objectives: We aimed to ascertain whether gender concordance influences general practitioners' (GPs’) rating of the usefulness of cancer screening, as well as their recommendations and readiness to conduct cancer screening in general practice in Germany. Methods: For an exploratory cross-sectional survey, 500 randomly selected GPs from all over Germany were asked to fill in a questionnaire on cancer screening in general practice between March and June 2015. We asked them to rate the usefulness of each cancer screening examination, how frequently they recommended and conducted them and whether they viewed GPs or specialists as responsible for carrying them out. We used multiple logistic regression to analyse gender effect size by calculating odds ratios. Results: Our study sample consisted of 139 GPs of which 65% were male. Male and female GPs did not differ significantly in their rating of the general usefulness of any of the specified cancer screening examinations. Male GPs were 2.9 to 6.8 times as likely to consider GPs responsible for recommending and conducting PSA testing and digital rectal examinations and were 3.7 to 7.9 times as likely to recommend and conduct these examinations on a regular basis. Conclusion: Patient–physician gender concordance made it more likely that male-specific cancer screenings would be recommended and conducted, but not female-specific screenings.

Background: Although the risk of developing colorectal cancer (CRC) is 2-4 times higher in case of a positive family history, risk-adapted screening programs for family members related to CRC- patients do not exist in the German health care system. CRC screening recommendations for persons under 55 years of age that have a family predisposition have been published in several guidelines. The primary aim of this study is to determine the frequency of positive family history of CRC (1st degree relatives with CRC) among 40–54 year old persons in a general practitioner (GP) setting in Germany. Secondary aims are to detect the frequency of occurrence of colorectal neoplasms (CRC and advanced adenomas) in 1st degree relatives of CRC patients and to identify the variables (e.g. demographic, genetic, epigenetic and proteomic characteristics) that are associated with it. This study also explores whether evidence-based information contributes to informed decisions and how screening participation correlates with anxiety and (anticipated) regret. Methods/Design: Prior to the beginning of the study, the GP team (GP and one health care assistant) in around 50 practices will be trained, and about 8,750 persons that are registered with them will be asked to complete the “Network against colorectal cancer” questionnaire. The 10 % who are expected to have a positive family history will then be invited to give their informed consent to participate in the study. All individuals with positive family history will be provided with evidence-based information and prevention strategies. We plan to examine each participant’s family history of CRC in detail and to collect information on further variables (e.g. demographics) associated with increased risk. Additional stool and blood samples will be collected from study-participants who decide to undergo a colonoscopy (n ~ 350) and then analyzed at the German Cancer Research Center (DKFZ) Heidelberg to see whether further relevant variables are a

Background: In primary care, patients with multiple chronic conditions are the rule rather than the exception. The Chronic Care Model (CCM) is an evidence-based framework for improving chronic illness care, but little is known about the extent to which it has been implemented in routine primary care. The aim of this study was to describe how multimorbid older patients assess the routine chronic care they receive in primary care practices in Germany, and to explore the extent to which factors at both the practice and patient level determine their views. Methods: This cross-sectional study used baseline data from an observational cohort study involving 158 general practitioners (GP) and 3189 multimorbid patients. Standardized questionnaires were employed to collect data, and the Patient Assessment of Chronic Illness Care (PACIC) questionnaire used to assess the quality of care received. Multilevel hierarchical modeling was used to identify any existing association between the dependent variable, PACIC, and independent variables at the patient level (socio-economic factors, weighted count of chronic conditions, instrumental activities of daily living, health-related quality of life, graded chronic pain, no. of contacts with GP, existence of a disease management program (DMP) disease, self-efficacy, and social support) and the practice level (age and sex of GP, years in current practice, size and type of practice). Results: The overall mean PACIC score was 2.4 (SD 0.8), with the mean subscale scores ranging from 2.0 (SD 1.0, subscale goal setting/tailoring) to 3.5 (SD 0.7, delivery system design). At the patient level, higher PACIC scores were associated with a DMP disease, more frequent GP contacts, higher social support, and higher autonomy of past occupation. At the practice level, solo practices were associated with higher PACIC values than other types of practice. Conclusions: This study shows that from the perspective of multimorbid patients receiving care in Germ

Background: It is not well established how psychosocial factors like social support and depression affect health-related quality of life in multimorbid and elderly patients. We investigated whether depressive mood mediates the influence of social support on health-related quality of life. Methods: Cross-sectional data of 3,189 multimorbid patients from the baseline assessment of the German MultiCare cohort study were used. Mediation was tested using the approach described by Baron and Kenny based on multiple linear regression, and controlling for socioeconomic variables and burden of multimorbidity. Results: Mediation analyses confirmed that depressive mood mediates the influence of social support on health-related quality of life (Sobel's p < 0.001). Multiple linear regression showed that the influence of depressive mood (beta = -0.341, p < 0.01) on health-related quality of life is greater than the influence of multimorbidity (beta = -0.234, p < 0.01). Conclusion: Social support influences health-related quality of life, but this association is strongly mediated by depressive mood. Depression should be taken into consideration in research on multimorbidity, and clinicians should be aware of its importance when caring for multimorbid patients.

Background: With increasing life expectancy the number of people affected by multimorbidity rises. Knowledge of factors associated with health-related quality of life in multimorbid people is scarce. We aimed to identify the factors that are associated with self-rated health (SRH) in aged multimorbid primary care patients. Methods: Cross-sectional study with 3,189 multimorbid primary care patients aged from 65 to 85 years recruited in 158 general practices in 8 study centers in Germany. Information about morbidity, risk factors, resources, functional status and socio-economic data were collected in face-to-face interviews. Factors associated with SRH were identified by multivariable regression analyses. Results: Depression, somatization, pain, limitations of instrumental activities (iADL), age, distress and Body Mass Index (BMI) were inversely related with SRH. Higher levels of physical activity, income and self-efficacy expectation had a positive association with SRH. The only chronic diseases remaining in the final model were Parkinson's disease and neuropathies. The final model accounted for 35% variance of SRH. Separate analyses for men and women detected some similarities; however, gender specific variation existed for several factors. Conclusion: In multimorbid patients symptoms and consequences of diseases such as pain and activity limitations, as well as depression, seem to be far stronger associated with SRH than the diseases themselves. High income and self-efficacy expectation are independently associated with better SRH and high BMI and age with low SRH.

Background: Multimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern. Methods: The MultiCare Cohort Study is a multicentre, prospective, observational cohort study of 3.189 multimorbid patients aged 65+ randomly selected from 158 GP practices. Data were collected in GP interviews and comprehensive patient interviews. Missing values have been imputed by hot deck imputation based on Gower distance in morbidity and other variables. The association of patient characteristics with the number of chronic conditions is analysed by multilevel mixed-effects linear regression analyses. Results: Multimorbidity in general is associated with age (+0.07 chronic conditions per year), gender (-0.27 conditions for female), education (-0.26 conditions for medium and -0.29 conditions for high level vs. low level) and income (-0.27 conditions per logarithmic unit). The pattern of cardiovascular and metabolic disorders shows comparable associations with a higher coefficient for gender (-1.29 conditions for female), while multimorbidity within the pattern of ADS and pain correlates with gender (+0.79 conditions for female), but not with age or socioeconomic status. Conclusions: Our study confirms that the morbidity load of multimorbid patients is associated with age, gender and the socioeconomic status of the patients, but there were no effects of living arrangements and marital status. We could also show that the influence of patient characteristics is dependent on the mul