Socioeconomic differences in limited lung function: a cross-sectional study of middle-aged and older adults in Germany.

BACKGROUND: Limited lung function represents a serious health impairment. However, studies investigating social inequalities in limited lung function are rare. Thus, the current study investigates which socioeconomic groups are the most affected by overall limited lung function and severely limited lung function. METHODS: Data from the population-based German Aging Survey were used (N = 4472), with participants being 40 + years old. Lung function was assessed by the peak flow test. Education, income, and occupational prestige were used as socioeconomic indicators. RESULTS: We found that overall limited lung function was highly prevalent across the whole sample, with about 33% (Women: 35%; Men: 30%) having overall limited lung function and 8% (Women: 7%; Men: 8%) having severely limited lung function. Socioeconomic differences in limited lung function emerged for all three indicators, education, income, and occupational prestige, in both men and women in single effect analyses. These differences persisted for occupational prestige and income when controlling for all indicators simultaneously. CONCLUSIONS: Thus, overall and severely limited lung function are highly prevalent health conditions. Men and women with a low occupational position and those with low income are the most affected. Socioeconomic indicators cannot be used interchangeably when studying health inequalities in lung functioning. Occupational hazards and physical working conditions are likely to constitute major risks of health inequalities in limited lung functioning and should be investigated as such by future studies.

Type 2 diabetes in the employed population: do rates and trends differ among nine occupational sectors? An analysis using German health insurance claims data.

BACKGROUND: Socioeconomic inequalities in type 2 diabetes (T2D) are well established in the literature. However, within the background of changing work contexts associated with digitalization and its effect on lifestyle and sedentary behavior, little is known on T2D prevalence and trends among different occupational groups. This study aims to examine occupational sector differences in T2D prevalence and trends thereof between 2012 and 2019. METHODS: The study was done on 1.683.644 employed individuals using data from the German statutory health insurance provider in Lower Saxony, the "Allgemeine Ortskrankenkasse Niedersachsen" (AOKN). Predicted probabilities for T2D prevalence in four two-year periods between 2012 and 2019 were estimated based on logistic regression analyses for nine occupational sectors. Prevalence ratios were calculated to illustrate the effect of time period on the prevalence of T2D among the nine occupational sectors. Analyses were stratified by gender and two age groups. RESULTS: Results showed differences among occupational sectors in the predicted probabilities for T2D. The occupational sectors "Transport, logistics, protection and security" and "Health sector, social work, teaching & education" had the highest predicted probabilities, while those working in the sector "Agriculture" had by far the lowest predicted probabilities for T2D. Over all, there appeared to be a rising trend in T2D prevalence among younger employed individuals, with gender differences among occupational sectors. CONCLUSION: The study displayed different vulnerability levels among occupational sectors with respect to T2D prevalence overall and for its rising trend among the younger age group. Specific occupations within the vulnerable sectors need to be focused upon in further research to define specific target groups to which T2D prevention interventions should be tailored.

Predictors of Developing Heart Failure in Adults with Congenital Heart Defects.

Background: The population of adults with congenital heart defects (ACHD) is growing. The leading cause of premature death in these patients is heart failure (HF). However, there is still limited information on the predictive factors for HF in ACHD patients. Objectives: This study re-examined a group of patients with repaired or palliated congenital heart defects (CHD) that were initially studied in 2003. A follow-up period of 15 years has allowed us to identify and evaluate predictors for the development of HF in ACHD. Methods: All patients with repaired or palliated CHD who participated in the initial study (n = 364) were invited for a follow-up examination. The effects of maximum oxygen uptake ( VO 2max ) during exercise stress testing, the cardiac biomarker N-terminal pro brain natriuretic peptide (NT-proBNP), and QRS complex on the development of HF during the follow-up period were investigated. Results: From May 2017 to April 2019, 249 of the initial 364 (68%) patients participated in the follow-up study. Of these, 21% were found to have mild CHD, 60% had moderate CHD, and 19% had complex CHD. Significant predictors for the development of HF were: NT-proBNP level > 1.7 times the upper normal limit, VO 2max < 73% of predicted values, and QRS complex duration > 120 ms. Combination of these three parameters resulted in the highest area-under-the-curve of 0.75, with a sensitivity of 75% and specificity of 63% for predicting the development of HF. Conclusions: In this cohort of ACHD patients, the combination of VO 2max% , NT-proBNP, and QRS duration was predictive of HF development over a 15-year follow-up period. Enhanced surveillance of these parameters in patients with ACHD may be beneficial for the prevention of HF and early intervention.

Socioeconomic inequalities in diabetes prevalence: the case of South Africa between 2003 and 2016.

BACKGROUND: Diabetes is a growing epidemic worldwide and the effect of socioeconomic status (SES) is frequently acknowledged in the literature. This study aims to compare the effect of SES on diabetes prevalence in South Africa between 2003 and 2016. In addition, vulnerable groups regarding diabetes development in 2016 will be identified. METHODS: Using DHS data there were 8,006 participants (59.19% women) in 2003 and 10,292 participants (59.42% women) in 2016. Logistic regression and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for diabetes by age, gender, educational level and place of residence. To identify vulnerable groups with high risk of developing diabetes in 2016, the method of p-value based regression tree analysis was applied using "wealth index" and "weight perception" as additional variables. RESULTS: There was an increase in diabetes prevalence from 3.86% in 2003 to 4.46% in 2016. Women had more risk of developing diabetes at both time points (27% in 2003 and 24% in 2016 more risk). Increase in age and living in urban areas were associated with more risk of developing diabetes at both time points. There was no specific pattern regarding risk of developing diabetes and educational level in case of women. However, men who completed secondary school or had a higher diploma or above had more risk of developing diabetes in 2016 (OR = 2.24 and 4.67 respectively). Vulnerable groups who have higher risk of developing diabetes in 2016 were participants aged "60 years or older" with a wealth index of "rich" or "richer", followed by participants from the same age group who were "poor" or "poorer" and participants aged "40-59 years" with a wealth index of "rich" or "richer". Subsequently were participants from the age group "15-39 years" with a weight perception of "overweight" or "obese". CONCLUSION: Diabetes prevalence increased in South Africa between 2003 and 2016. Main risk factors were age, gender and living in urban areas. Men with high educational level were more at risk of developing diabetes in 2016. Vulnerable groups in 2016 were participants 40 years and older, particularly with high SES. This was followed by younger participants who were obese or overweight.

Socioeconomic inequalities in diabetes prevalence: the case of Egypt between 2008 and 2015.

BACKGROUND: There is a steady increase in diabetes prevalence globally and many studies imply that high socioeconomic status (SES) is inversely related to diabetes prevalence. However, there is scarcity in literature from countries like Egypt regarding this topic. METHODS: This study aims to investigate prevalence of diabetes in Egypt between 2008 and 2015, and the effect of SES. Diabetes prevalence -based on self-reports of past diagnosis- was measured using two datasets Egypt DHS 2008 (10,917 participants) and EHIS 2015 (16,485 participants). Logistic regression and odds ratios (ORs) with 95% confidence intervals (CIs) were applied for diabetes controlling for age, gender, educational level, employment status and place of residence. Extend of difference in diabetes prevalence between the two time points was measured by combining the two datasets using the EDHS 2008 as reference. RESULTS: Diabetes prevalence was higher in 2015 (4.83%) compared to 2008 (3.48%). It was more in women at both time points (4.08% and 5.16% in 2008 and 2015 respectively) compared to men (2.80% and 4.43% in 2008 and 2015 respectively). Older age and living in urban areas were positively related to diabetes prevalence at both time points. Men had a significant higher chance of developing diabetes in 2015 (OR = 1.45, p-value = 0.001). Men with higher education had higher chance of developing diabetes (OR = 1.76), in contrast to women (OR = 0.59). Employment decreased the chance of developing diabetes for men (OR = .72), but had minimal effect on women (OR = 1.06). CONCLUSION: Diabetes prevalence in Egypt has increased between the years 2008 and 2015 and evident social inequalities were found. Women had more diabetes than men and were more affected with low SES. Unlike women, highly educated men had higher chance of developing diabetes in 2015 compared to 2008. This might be attributed to behavioral and sociocultural factors.

The role of school education in time-dependent changes of cognitive abilities in cohorts from midlife to old age.

OBJECTIVES: It is examined whether older adults' cognitive ability in terms of delayed recall and verbal fluency is improving over time, whether this occurs over all educational levels and both sexes, and whether these changes are due to increasing proportions of individuals with higher education. METHODS: Analyses are based on the German samples of the Survey on Health, Ageing and Retirement in Europe (waves 2004 and 2013). RESULTS: Achievement levels increased over time and in all age groups. Improvements over educational levels occurred in parallel, differences between educational levels in the earlier survey were later reproduced at higher levels. Increasing proportions of individuals with higher education did not explain improvements of cognitive ability. No sex differences emerged. CONCLUSION: Improved cognitive abilities could not be explained by upward shifts of educational levels. Improvements in higher age groups may foster improved health status and prolonged self-determined life in the older population.

Health-Related Quality of Life in Patients With Ventricular Assist Device: Psychometric Evaluation of the German Version of the Quality of Life With a Ventricular Assist Device Questionnaire.

BACKGROUND: Ventricular assist device (VAD) implantation has become an alternative treatment for patients with end-stage heart failure. In Germany, valid and reliable instruments to assess health-related quality of life in patients with VAD are lacking. OBJECTIVE: The aim of this study was to present the psychometric validation of the German version of the Quality of Life with a Ventricular Assist Device questionnaire. METHODS: In a multicenter, cross-sectional study, 393 participants (mean age, 58.3 years; 85.8% male, 60.3% bridge to transplant, and 72.8% living with VAD for ≤2 years) completed the German Quality of Life with a Ventricular Assist Device questionnaire of physical, emotional, social, cognitive, and meaning/spiritual domains. Item and confirmatory factor analyses were conducted to test item difficulty and discrimination and the underlying structure, respectively. To examine internal consistency, Cronbach α was assessed. Convergent construct validity was tested using the Kansas City Cardiomyopathy Questionnaire and the Patient Health Questionnaire-9. Readability was examined using Flesch Reading Ease index and Vienna Factual Text Formula. RESULTS: The Quality of Life with a Ventricular Assist Device showed reasonable item difficulty (Ptotal = .67) and mostly moderate to high discriminatory power (rit > 0.30). In confirmatory factor analysis, root-mean-square error of approximation (0.07) was acceptable for model fit, but no other indices. Acceptable internal consistency was found (α ≥ 0.79), with the exception of the cognitive domain (α = 0.58). The overall questionnaire and single domains demonstrated convergent validity (r ≥ 0.45, P < .001). The questionnaire showed adequate readability (Flesch Reading Ease, 64.11; Vienna Factual Text Formula, 6.91). CONCLUSION: Findings indicate a promising standardized clinical instrument to assess health-related quality of life in patients with VAD.

[Are Prevalence Rates Comparable in Survey and Routine Data? Prevalence of Myocardial Infarction in Claims Data of the AOK Lower Saxony and in Data of German Health Interview and Examination (DEGS1)]. / Sind Prävalenzen in Survey- und Routinedaten vergleichbar? Herzinfarktprävalenzen in Krankenkassendaten der AOK Niedersachsen und in Daten der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1).

AIMS OF THE STUDY: This study compared prevalences of myocardial infarction between data drawn from health interviews and claims data from statutory health insurance. Previous comparative studies have drawn comparisons without having considered possible differences in the sociodemographic structure of the underlying study populations. The approach applied here aimed to match the sociodemographic structure via available information in both datasets and to compare prevalences in parallelized samples. METHODOLOGY: Data from the German Health Interview and Examination Study for Adults (DEGS1) and claims data from the AOK Lower Saxony (AOKN) were used. To match the sociodemographic structure of the two data sets, a parallelized sample was drawn from the AOKN data according to sex, age, and vocational training qualification. As part of a sensitivity analysis, additional samples were drawn and a mean overall prevalence was calculated from them. RESULTS: Data from 5779 DEGS1 respondents and 22 534 AOKN insured persons were used for the analysis. After parallelization of the AOKN-sample by sex, age, and vocational training qualification, no significant differences in prevalence of myocardial infarction could be found between claims data from the AOKN and data from the DEGS1 Health Survey. In men, there were tendencies toward lower prevalence of myocardial infarction in the AOKN data. Possible explanations include the selection of less morbid insured persons by using the vocational education degree for parallelization or memory discrepancies in survey data. CONCLUSION: Differences in sociodemographic structure may play a role the interpretation of disease prevalence from difference data sources. This can be compensated for by parallelizing the samples. Future comparative analyses should take into account characteristics of the socioeconomic status. Similar analyses of other diseases such as stroke, diabetes, and metabolic disorders would be desirable.

Health and study dropout: health aspects differentially predict attrition.

BACKGROUND: Participant dropout poses significant problems in longitudinal survey studies. Although it is often assumed that a participant's health predicts future study dropout, only a few studies have examined this topic, with conflicting findings. This study aims to contribute to the literature by clarifying the relationship between different aspects of health and study dropout. METHODS: The 2008 baseline sample of the German Aging Survey was used to predict study dropout (N = 4442). Indicators of health included physical health using the number of chronic conditions, physical functioning using the SF-36 Physical Functioning subscale, cognitive functioning using the digit symbol substitution test, and depression using the CESD-15. RESULTS: It was found that different aspects of health had differential associations with survey dropout: Worse physical functioning and in part worse cognitive functioning predicted increased dropout rates; contrarily, worse physical health predicted decreased dropout when controlling for other health aspects and covariates. Depression was not significantly related to study dropout. CONCLUSIONS: Therefore, participants with chronic conditions, but minimal physical and cognitive disability were most likely to participate in the future. These findings suggest that health has a complex relationship with survey dropout and must be accounted for in longitudinal studies. Neglecting this systematic attrition due to health problems bears the risk of severely under- or overestimating health-related effects and trends.

Widening or narrowing income inequalities in myocardial infarction? Time trends in life years free of myocardial infarction and after incidence.

BACKGROUND: Despite substantial improvements in prevention and therapy, myocardial infarction (MI) remains a frequent health event, causing high mortality and serious health impairments. Previous research lacks evidence on how social inequalities in incidence and mortality risks developed over time, and on how these developments affect the lifespan free of MI and after MI in different social subgroups. This study investigates income inequalities in MI-free life years and life years after MI and whether these inequalities widened or narrowed over time. METHODS: The analyses are based on claims data of a large German health insurance provider insuring approximately 2.8 million individuals in the federal state Lower Saxony. Trends in income inequalities in incidence and mortality were assessed for all subjects aged 60 years and older by comparing the time periods 2006-2008 and 2015-2017 using multistate survival models. Trends in the number of life years free of MI and after MI were calculated separately for income groups by applying multistate life table analyses. RESULTS: MI incidence and mortality risks decreased over time, but declines were strongest among men and women in the higher-income group. While life years free of MI increased in men and women with higher incomes, no MI-free life years were gained in the low-income group. Among men, life years after MI increased irrespective of income group. CONCLUSIONS: Income inequalities in the lifespan spent free of MI and after MI widened over time. In particular, men with low incomes are disadvantaged, as life years spent after MI increased, but no life years free of MI were gained.

Trends and equity in the use of health services in Spain and Germany around austerity in Europe.

BACKGROUND: Following the 2008 economic crisis many countries implemented austerity policies, including reducing public spending on health services. This paper evaluates the trends and equity in the use of health services during and after that period in Spain - a country with austerity policies - and in Germany - a country without restriction on healthcare spending. METHODS: Data from several National Surveys in Spain and several waves of the Socio-Economic Panel in Germany, carried out between 2009 and 2017, were used. The dependent variables were number of doctor's consultations and whether or not a hospital admission occurred. The measure of socioeconomic position was education. In each year, the estimates were made for people with and without pre-existing health problems. First, the average number of doctor's consultations and the percentage of respondents who had had been hospitalized were calculated. Second, the relationship between education and use of those health services was estimated by calculating the difference in consultations using covariance analysis - in the case of number of consultations - and by calculating the percentage ratio using binomial regression - in the case of hospitalization. RESULTS: The annual mean number of consultations went down in both countries. In Spain the average was 14.2 in 2009 and 10.4 in 2017 for patients with chronic conditions; 16.6 and 13.5 for those with a mental illness; and 6.4 and 5.9 for those without a defined illness. In Germany, the averages were 13.8 (2009) and 12.9 (2017) for the chronic group; 21.1 and 17.0 for mental illness; and 8.7 and 7.5 with no defined illness. The hospitalization frequency also decreased in both countries. The majority of the analyses presented no significant differences in relation to education. CONCLUSION: In both Spain and Germany, service use decreased between 2009 and 2017. In the first few years, this reduction coincided with a period of austerity in Spain. In general, we did not find socioeconomic differences in health service use.

Socioeconomic inequalities in lung cancer - a time trend analysis with German health insurance data.

BACKGROUND: Lung Cancer (LC) is one of the most prevalent cancer diseases. Due to the lack of databases which allow the combination of information on individual socioeconomic status (SES) and cancer incidence, research on social inequalities in LC among the German population is rare. The aim of the study is to analyse time trends in social inequalities in LC in Germany. METHODS: The analyses are based on data of a large statutory health insurance provider. The data contain information on diagnoses, occupation and education (working age), and income (full age range) of the insurance population. Trends were analysed for two subpopulations (retirement age and working age) and stratified by sex. The analyses are based on incidence rates and proportional hazard models spanning the periods 2006-2009, 2010-2013 and 2014-2017. RESULTS: Incidence rates declined in men but increased in women. For men, inequalities were strongest in terms of income and the decline in incidence was most pronounced in middle- and higher-income men. Among women at retirement age, a reversed income gradient was found which disappeared in the second period. The educational gradient among the working-age population decreased over time due to the trend towards increasing incidence among individuals with higher education. Declining gradients were also found for occupational position. CONCLUSION: The findings reveal considerable inequalities in LC and that trends vary with respect to SES, sex and age. Widening income inequalities were found in the retired population, while educational and occupational inequalities tend to narrow among the working-age population.

Social inequalities in mild and severe myocardial infarction: how large is the gap in health expectancies?

BACKGROUND: Acute myocardial infarction (MI) remains a frequent health event and a major contributor to long-term impairments globally. So far, research on social inequalities in MI incidence and mortality with respect to MI severity is limited. Furthermore, evidence is lacking on disparities in the length of life affected by MI. This study investigates social inequalities in MI incidence and mortality as well as in life years free of MI and affected by the consequences of mild or severe MI. METHODS: The study is based on data of a large German statutory health insurance provider covering the years 2008 to 2017 (N = 1,253,083). Income inequalities in MI incidence and mortality risks and in life years with mild or severe MI and without MI were analysed using multistate analyses. The assessment of MI severity is based on diagnosed heart failure causing physical limitations. RESULTS: During the study period a total of 39,832 mild MI, 22,844 severe MI, 276,582 deaths without MI, 15,120 deaths after mild MI and 16,495 deaths after severe MI occurred. Clear inequalities were found in MI incidence and mortality, which were strongest among men and in severe MI incidence. Moreover, substantial inequalities were found in life years free of MI in both genders to the disadvantage of those with low incomes and increased life years after mild MI in men with higher incomes. Life years after severe MI were similar across income groups. CONCLUSIONS: Social inequalities in MI incidence and mortality risks led to clear disparities in the length of life free of MI with men with low incomes being most disadvantaged. Our findings stress the importance of primary and secondary prevention focusing especially on socially disadvantaged groups.

Decline of depressive symptoms in Europe: differential trends across the lifespan.

PURPOSE: We examined changes in the burden of depressive symptoms between 2006 and 2014 in 18 European countries across different age groups. METHODS: We used population-based data drawn from the European Social Survey (N = 64.683, 54% female, age 14-90 years) covering 18 countries (Austria, Belgium, Denmark, Estonia, Finland, France, Germany, Great Britain, Hungary, Ireland, The Netherlands, Norway, Poland, Portugal, Slovenia, Spain, Sweden, Switzerland) from 2006 to 2014. Depressive symptoms were measured via the CES-D 8. Generalized additive models, multilevel regression, and linear regression analyses were conducted. RESULTS: We found a general decline in CES-D 8 scale scores in 2014 as compared with 2006, with only few exceptions in some countries. This decline was most strongly pronounced in older adults, less strongly in middle-aged adults, and least in young adults. Including education, health and income partially explained the decline in older but not younger or middle-aged adults. CONCLUSIONS: Burden of depressive symptoms decreased in most European countries between 2006 and 2014. However, the decline in depressive symptoms differed across age groups and was most strongly pronounced in older adults and least in younger adults. Future studies should investigate the mechanisms that contribute to these overall and differential changes over time in depressive symptoms.

Maternal knowledge of the child's heart defect over a 1-year time span, its development and associated factors.

BACKGROUND: Mothers are the link between patients, physicians, and other caregivers. Therefore, they should be well informed about the child's heart defect and accompanying issues. This study aimed to assess the mothers' understanding of their child's heart defect at hospitalisation and one year later and to analyse the individual development and associated factors. MATERIAL AND METHODS: Mothers of children with CHD (aged ≤2 years) were interviewed at time of hospitalisation and after one year. Development was calculated using the Wilcoxon signed-rank test. Knowledge was assessed using the Hannover Inventory of Parental Knowledge of Congenital Heart Disease that consists of eight subscales. Associated factors were self-assessed knowledge at hospitalisation, educational level, cardiac diagnosis, self-assessed severity of CHD, and source of information at follow-up. RESULTS: Mothers showed mixed understanding at hospitalisation, but their knowledge improved over a 1-year time span. This was especially true for the subscales "management of CHD" and "surveillance of deterioration", which resulted in an overall good knowledge at follow-up, whereas knowledge on infective endocarditis was still poor. Mothers with lowest and highest education had the most notable improvements. The same holds for caregivers with children with more severe CHD and who rated their knowledge as less than good. CONCLUSION: Overall, mothers showed significant improvement especially for topics that are important to provide adequate care, but still revealed knowledge gaps one year after hospitalisation. Consequently, clinicians should evaluate the individual knowledge level at all times and inform mothers accordingly.

[Completely Different or Quite Similar? The Sociodemographic Structure of the AOK Lower Saxony in Comparison to the General and Working Population in Lower Saxony and the Federal Republic of Germany]. / Völlig unterschiedlich oder doch recht ähnlich? Die soziodemografische Struktur der AOK Niedersachsen im Vergleich zur niedersächsischen und bundesweiten Allgemein- und Erwerbsbevölkerung.

ZIEL DER STUDIE: Routinedaten von Krankenkassen sind als Datenquelle mittlerweile gut etabliert. Hinsichtlich der Verallgemeinerbarkeit der Ergebnisse bei Analysen mit Daten einer Krankenkasse treten Fragen der Repräsentativität der Versichertenpopulation auf, insbesondere da nicht alle Studien auf soziodemografische Merkmale adjustieren. Diese Arbeit untersucht mittels deskriptiver Analyse, ob und inwieweit sich die Sozialstruktur der Versichertenpopulation der AOK Niedersachsen von der Sozialstruktur der Allgemeinbevölkerung und der sozialversicherungspflichtig Beschäftigten in Niedersachsen (NDS) und in der Bundesrepublik (BRD) unterscheiden. METHODIK: Die Datengrundlage bilden pseudonymisierte Daten der AOK NDS, die Beschäftigtenstatistik der Bundesagentur für Arbeit und der Bevölkerungsstand in NDS und der BRD. Die Versichertenpopulation wird an zwei Stichtagen 31.12.2012 und 31.12.2017 hinsichtlich der Geschlechter-und Altersstruktur mit der Bevölkerung in NDS und der BRD verglichen. Anschließend werden die Daten der sozialversicherungspflichtig Beschäftigten in der AOK NDS und aus der Beschäftigtenstatistik der Bundesagentur für Arbeit gegenübergestellt, um Ausbildungsabschlüsse, Komplexität der ausgeübten Tätigkeit und elf Berufsbereiche zu vergleichen. ERGEBNISSE: Die Geschlechterstruktur unterscheidet sich nicht zwischen den drei Vergleichspopulationen. Verglichen mit der Bevölkerung in NDS und der BRD ist der Anteil der unter 30-Jährigen in der AOK NDS überdurchschnittlich, der Anteil der Personen zwischen 50 und 76 Jahren etwas unterdurchschnittlich. Sozialversicherungspflichtig Beschäftigte mit Hochschulabschluss und in Tätigkeiten mit höherer Komplexität sind in der AOK NDS unterrepräsentiert. Die Verteilung der sozialversicherungspflichtig Beschäftigten auf elf Berufsbereiche unterscheidet sich ebenfalls. SCHLUSSFOLGERUNG: Die Studie zeigt, dass soziodemographische und sozio-ökonomische Merkmale in Studien mit Krankenkassendaten wann immer möglich berücksichtigt werden sollten. In Zukunft wird das Informationssystem Versorgungsdaten krankenkassenübergreifende Analysen mit Sekundärdaten ermöglichen. Fragestellungen der gesundheitlichen Ungleichheit können damit jedoch aufgrund des Fehlens von sozio-ökonomischen Merkmalen nicht beantwortet werden. Auch die Identifikation von vulnerablen Gruppen, die gezielt geeigneten Maßnahmen zugeführt werden könnten, ist ohne Berücksichtigung von sozio-ökonomischen Merkmalen erschwert. AIM OF THE WORK: Routine data from statutory health insurance funds are now a well-established source of data for scientific research. With regard to the generalizability of findings based on data from one health insurance fund, questions arise regarding the representativeness of the insured population, especially since not all studies adjust for socio-demographic characteristics. Our study examines whether and to what extent socio-demographic and occupational characteristics of the population insured with the AOK Lower Saxony differ from the total and working population of Lower Saxony and the Federal Republic of Germany. METHODS: The analyses are based on pseudonymised data from the AOK, the employment statistics of the Federal Employment Agency (FEA) and population statistics. The insured population was compared with the population of Lower Saxony and Germany at two cut-off dates (31.12.2012 and 31.12.2017) with respect to the distributions of age and gender. Subsequently, data of employed insured persons were compared with FEA-data in order to compare educational level, complexity of the work and occupational areas. RESULTS: The gender structure did not differ between the three populations. The proportion of insured women and men below 30 years of age was above the corresponding figures of Lower Saxony and Germany. Employed individuals holding a university degree or jobs with higher complexity were under-represented in the AOK. The distribution across eleven occupational areas in the AOK also differed from the reference populations. CONCLUSIONS: The study shows that socio-demographic and socio-economic characteristics should be considered whenever possible in studies using statutory health insurance data. In future, the new database "Information System Health Care Data" will enable analyses across all statutory health insurance providers. However, research questions of health inequalities cannot be answered with this approach due to the lack of socio-economic characteristics in these data. Identifying vulnerable groups that could be targeted for appropriate interventions is also difficult without taking socio-economic characteristics into account.

[Predictors of the Utilization and Waiting Period Before Starting an Oncological Rehabilitation after Breast Cancer]. / Prädiktoren der Inanspruchnahme und des Beginns einer onkologischen Rehabilitation nach Brustkrebs.

PURPOSE: This study explores the sociodemographic, medical and work-related factors leading to a participation in an in-house rehabilitation measure after primary treatment for breast cancer. METHODS: The prospective multi-center study is based on a written survey with employed breast cancer patients who were recruited at 11 breast cancer centers in Lower Saxony, Germany. Predictors of participation were examined by logistic regression, predictors of the time period before starting the rehabilitation by linear regression. RESULTS: 409 patients returned their questionnaires at all three time-points. Response rates were 80,1% 3 weeks after surgery (t0), 95,2% 6 months after surgery (t1) and 89,9% one year after surgery (t2). Altogether, 294 patients (72%) participated in the rehabilitation measure. Respondents, 90% of whom participated in rehabilitation before returning to work, began their rehabilitation on average 21 weeks after primary surgery. They showed an increased probability of participation if they had indicated the need to clarify their job situation (OR=2,74, p<0,01), or if their answers displayed a detrimental relation between effort and reward at work (OR=3,89, p<0,05). At the same time, higher age, a higher level of school education (OR=4,23) and reduced physical health (OR=0,94, p<0,01) increased the chance for breast cancer patients to take part in oncological rehabilitation. The starting point of rehabilitation was only predictable by medical treatments: adjuvant chemotherapy (ß=0,492, p≤0,001), additional surgery (ß=0,112, p<0,05), and radiation therapy within the second half year after primary surgery (ß=0,20; p<0,001) led to a postponement. CONCLUSION: This study shows that an increased need of breast cancer patients for medical and socio-psychological support leads to their participation in an in-house rehabilitation and thus underlines the necessity of these institutions. Women with an impaired psychological health should be given extra attention.

The effects of different lookback periods on the sociodemographic structure of the study population and on the estimation of incidence rates: analyses with German claims data.

BACKGROUND: Defining incident cases has always been a challenging issue for researchers working with routine data. Lookback periods should enable researchers to identify and exclude recurrent cases and increase the accuracy of the incidence estimation. There are different recommendations for lookback periods depending on a disease entity of up to 10 years. Well-known drawbacks of the application of lookback periods are shorter remaining observation period in the dataset or smaller number of cases. The problem of selectivity of the remaining population after introducing lookback periods has not been considered in the literature until now. METHODS: The analyses were performed with pseudonymized claims data of a German statutory health insurance fund with annual case numbers of about 2,1 million insured persons. Proportions of study population excluded due to the application of lookback periods are shown according to age, occupational qualification and income. Myocardial infarction and stroke were used to demonstrate changes in incidence rates after applying lookback periods of up to 5 years. RESULTS: Younger individuals show substantial dropouts after the application of lookback periods. Furthermore, there are selectivities regarding occupational qualification and income, which cannot be handled by age standardization. Due to selective dropouts of younger individuals, crude incidence rates of myocardial infarction and stroke increase after applying lookback periods. Depending on the income group, age-standardized incidence rates changed differentially, leading to a decrease and possible underestimation of the social gradient after applying lookback periods. CONCLUSIONS: Selectivity analyses regarding age and sociodemographic structure should be performed for the study population after applying lookback periods since the selectivity can affect the outcome especially in health care research. The selectivity effects might occur not only in claims data of one health insurance fund, but also in other longitudinal data with left- or right-censoring not covering the whole population. The effects may also apply to health care systems with a mix of public and private health insurance. A trade-off has to be considered between selectivity effects and eliminating recurrent events for more accuracy in the definition of incidence.

Trends in self-rated health among the elderly population in Germany from 1995 to 2015 - the influence of temporal change in leisure time physical activity.

BACKGROUND: Against the backdrop of rising statutory retirement age in Germany, we analyzed time trends in self-rated health (SRH) among the elderly population between 50 and 70 years of age and explored the mediating role of leisure time physical activity (LTPA) on the relationship between time period and self-rated health (SRH). METHODS: We used longitudinal survey data (n = 23,161) from a national panel study (GSOEP) to analyze time trends in SRH and regular LTPA (at least once a week) by means of Generalized Estimation Equation (GEE) analysis for logistic regression. The Karlson-Holm-Breen (KHB) method was applied for decomposing trend effects into direct and indirect parts via LTPA. In addition to odds ratios (OR), we illustrated the results by means of predicted probabilities and average partial effects (APE). RESULTS: Over time, the predicted probabilities of good SRH and regular LTPA increased while those of poor SRH decreased. After adjusting for socioeconomic status (SES) 53.4% of the trend in good SRH in women (OR = 1.34 / APE = 6.8%-points) could be attributed to the rise in regular LTPA. In men, the remaining smaller effect (OR = 1.13 / APE = 2.7%) could be fully assigned to temporal changes in regular LTPA. With respect to poor health we found a suppression effect of LTPA in the adjusted model, indicating that without improvements in regular LTPA over time an increase in poor SRH would have occurred. CONCLUSIONS: The increase of regular LTPA accounted for improved SRH from 1995 to 2015 among the elderly, indicating that promoting LTPA might be a key factor to raise healthy working life expectancy.

Quality indicators for the evaluation of end-of-life care in Germany - a retrospective cross-sectional analysis of statutory health insurance data.

BACKGROUND: The provision and quality of end-of-life care (EoLC) in Germany is inconsistent. Therefore, an evaluation of current EoLC based on quality indicators is needed. This study aims to evaluate EoLC in Germany on the basis of quality indicators pertaining to curative overtreatment, palliative undertreatment and delayed palliative care (PC). Results were compared with previous findings. METHODS: Data from a statutory health insurance provider (AOK Lower Saxony) pertaining to deceased members in the years 2016 and 2017 were used to evaluate EoLC. The main indicators were: chemotherapy for cancer patients in the last month of life, first-time percutaneous endoscopic gastrostomy (PEG) for patients with dementia in the last 3 months of life, number of hospitalisations and days spent in inpatient treatment in the last 6 months of life, and provision of generalist and specialist outpatient PC in the last year of life. Data were analysed descriptively. RESULTS: Data for 64,275 deceased members (54.3% female; 35.1% cancer patients) were analysed. With respect to curative overtreatment, 10.4% of the deceased with cancer underwent chemotherapy in the last month and 0.9% with dementia had a new PEG insertion in the last 3 months of life. The mean number of hospitalisations and inpatient treatment days per deceased member was 1.6 and 16.5, respectively, in the last 6 months of life. Concerning palliative undertreatment, generalist outpatient PC was provided for 28.0% and specialist outpatient PC was provided for 9.0% of the deceased. Regarding indicators for delayed PC, the median onset of generalist and specialist outpatient PC was 47.0 and 24.0 days before death, respectively. CONCLUSION: Compared to data from 2010 to 2014, the data analysed in the present study suggest an ongoing curative overtreatment in terms of chemotherapy and hospitalisation, a reduction in new PEG insertions and an increase in specialist PC. The number of patients receiving generalist PC remained low, with delayed onset. Greater awareness of generalist PC and the early integration of PC are recommended. TRIAL REGISTRATION: The study was registered in the German Clinical Trials Register ( DRKS00015108 ; 22 January 2019).