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.

Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.

BACKGROUND: Artificial intelligence (AI) has revolutionized various healthcare domains, where AI algorithms sometimes even outperform human specialists. However, the field of clinical ethics has remained largely untouched by AI advances. This study explores the attitudes of anesthesiologists and internists towards the use of AI-driven preference prediction tools to support ethical decision-making for incapacitated patients. METHODS: A questionnaire was developed and pretested among medical students. The questionnaire was distributed to 200 German anesthesiologists and 200 German internists, thereby focusing on physicians who often encounter patients lacking decision-making capacity. The questionnaire covered attitudes toward AI-driven preference prediction, availability and utilization of Clinical Ethics Support Services (CESS), and experiences with ethically challenging situations. Descriptive statistics and bivariate analysis was performed. Qualitative responses were analyzed using content analysis in a mixed inductive-deductive approach. RESULTS: Participants were predominantly male (69.3%), with ages ranging from 27 to 77. Most worked in nonacademic hospitals (82%). Physicians generally showed hesitance toward AI-driven preference prediction, citing concerns about the loss of individuality and humanity, lack of explicability in AI results, and doubts about AI's ability to encompass the ethical deliberation process. In contrast, physicians had a more positive opinion of CESS. Availability of CESS varied, with 81.8% of participants reporting access. Among those without access, 91.8% expressed a desire for CESS. Physicians' reluctance toward AI-driven preference prediction aligns with concerns about transparency, individuality, and human-machine interaction. While AI could enhance the accuracy of predictions and reduce surrogate burden, concerns about potential biases, de-humanisation, and lack of explicability persist. CONCLUSIONS: German physicians frequently encountering incapacitated patients exhibit hesitance toward AI-driven preference prediction but hold a higher esteem for CESS. Addressing concerns about individuality, explicability, and human-machine roles may facilitate the acceptance of AI in clinical ethics. Further research into patient and surrogate perspectives is needed to ensure AI aligns with patient preferences and values in complex medical decisions.

[Healthier at work for longer? Trends in life years free of cardiovascular and musculoskeletal diseases in the employed and general population based on health insurance claims data]. / Länger gesund im Beruf? Trends in den Lebensjahren frei von Herz-Kreislauf- und Muskel-Skelett-Erkrankungen in GKV-Daten für die Erwerbstätigen- und Allgemeinbevölkerung.

BACKGROUND: Our study focuses on the development of disease-free life years of two disease groups with high public health relevance: musculoskeletal diseases (MSD) and cardiovascular diseases (CVD). Against the backdrop of prolonged working lives, the development of disease-free life years in the working-age population is compared with the trend in the employed population. Differences between occupational groups are also examined. METHODS: The study is based on data from the statutory health insurance provider AOK Lower Saxony (N = 2,001,225). Incident cases were identified based on the diagnosis data. The expected years free of MSD and CVD were calculated using multistate life table analysis for three periods between 2006 and 2018. The occupational group is identified via the occupational key. Three groups are distinguished: unskilled and semi-skilled workers, skilled workers and specialists, and highly skilled workers. RESULTS: Life years free of MSD clearly decreased in the general population and among the employed population. The decrease was strongest in the higher-skilled occupational groups. Life years free of CVD increased in the general population. The increase was weaker among the employed population. The only occupational group showing increases were men in unskilled and semi-skilled occupations. DISCUSSION: The study shows that disease-free life years among employed persons developed in some cases worse than in the general population. For the analysed disease groups MSD and CVD, there are clear inequalities between occupational groups, which decreased somewhat over time. The inequalities and the decrease in years free of MSD highlight the high public health relevance and the need for effective prevention strategies to prevent CVD and MSD in working age.

Limited Reimbursement and Underuse of Digital Healthcare Concepts Are Major Barriers to Clinical Allergological Care in Germany.

INTRODUCTION: Allergic diseases represent a broad spectrum of high-prevalence, chronic conditions that remain underdiagnosed and undertreated. The aims of this interdisciplinary, questionnaire-based, non-interventional study were to identify and analyze potential barriers to clinical allergological care in Germany. METHODS: All hospitals listed in the German hospital register involved in the treatment of allergological patients (n = 899) were invited to participate. The study yielded a response rate of 52.1% (n = 468). RESULTS: Overall, 88.5% of clinics agreed that allergological care in Germany needs improvement, especially in terms of reimbursement for diagnostics and therapy. More than 80% of participating clinics reported that the decreased availability of test substances and the time-intensity of allergological testing represent relevant barriers. For dermatology and pulmonology, the former is the strongest barrier, while for pediatric and ENT clinics, time-intensity is regarded as the strongest barrier. The availability of good therapy and appropriate guidelines present no barriers to allergological care. Regarding the use of digital healthcare concepts, a very large majority of clinics (n = 352; 91.4%) do not offer video consultations or the use of health applications in patient care. CONCLUSION: In conclusion, we have identified several structural barriers to allergological care in Germany. Reimbursement and the use of digital healthcare concepts in German clinics providing allergological care need improvement. Based on the results of this study, there is an urgent need for researchers and policymakers to further investigate and support allergology departments in their clinical work and in their implementation of digital healthcare concepts.

[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.

[M2Q or Something else? The Impact of Varying Case Selection Criteria on the Prevalence Estimation of Chronic Diseases Based on Outpatient Diagnoses in German Claims Data]. / M2Q oder doch etwas Anderes? Der Einfluss verschiedener Aufgreifkriterien auf die Prävalenzschätzung chronischer Erkrankungen mit ambulanten GKV-Diagnosedaten.

BACKGROUND: To determine the prevalence of chronic disease conditions based on outpatient health insurance data, we often rely on repeated occurrence of a diagnosis over the course of a year, usually in two or more quarters (M2Q). It remains unclear whether prevalence estimates change after adapting repeated occurrence of a diagnosis in different quarters of a year compared to a single occurrence or to some other case selection criteria. This study applies different case selection criteria and analyses their impact on the prevalence estimation based on outpatient diagnoses. METHODS: Administrative prevalence for 2019 was estimated for eight chronic conditions based on outpatient physician diagnoses. We applied five case selection criteria: (1) single occurrence, (2) repeated occurrence (including in the same quarter or treatment case), (3) repeated occurrence in at least two different treatment cases (including in the same quarter), (4) occurrence in two quarters and (5) occurrence in two consecutive quarters. Only information on persons with continuous insurance history within the statutory health insurance provider AOK Niedersachsen in 2019 was used (n=2,168,173). RESULTS: Prevalence estimates differed quite strongly depending on the diagnosis and on age group if a criterion with repeated occurrence of a diagnosis was applied compared to a single occurrence. These differences turned out to be higher among men and younger patients. The application of a repeated occurrence (criterion 2) did not show different results compared to the repeated occurrence in at least two treatment cases (criterion 3) or in two quarters (criterion 4). The application of the strict criterion of two consecutive quarters (criterion 5) resulted in further reduction of the prevalence estimates. CONCLUSIONS: Repeated occurrence is increasingly becoming the standard for diagnosis validation in health insurance claims data. Applying such criteria results partly in a distinct reduction of prevalence estimates. The definition of the study population (e. g., repeated visits to a physician in two consecutive quarters as a mandatory condition) can also strongly influence the prevalence estimates.

Current situation of allergological health care at German hospitals.

BACKGROUND: Allergic medical care in Germany is organized on an interdisciplinary basis. An overview of the current care situation is necessary to manage and improve interdisciplinary cooperation. METHODS: Between January and February 2022, questionnaires were sent online and by mail to chief physicians of inpatient clinical departments to which most allergological diseases are assigned (dermatology, otorhinolaryngology [ENT], pulmonology, pediatrics, environmental/occupational medicine, gastroenterology; n = 899). RESULTS: The response rate was 52.1%. Allergology departments of dermatology, ENT and pulmonology were predominantly located in metropolitan areas (> 100,000 inhabitants), whereas responses of pediatric departments were mostly from smaller towns. 76.8% of the respondents reported existing interdisciplinary treatment plans with other specialties. Pediatric and pulmonology clinics stated disproportionately few interdisciplinary treatment concepts with dermatology and ENT clinics, especially in smaller cities with < 100,000 inhabitants. Diagnosis and therapy of allergic rhinitis were performed in particular by the departments of ENT, asthma mainly by the pulmonology departments. Care of other allergological diseases was most frequently reported by chief physicians of dermatology and pediatrics. CONCLUSIONS: In metropolitan areas, participating departments provide allergology care in a cooperative manner. A large spectrum of care is covered in cooperation with dermatological clinics. In more rural areas, cooperation is rarer; here, mainly pediatric departments provide allergological care, which may explain the more limited range of services compared to metropolitan areas.

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.

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.

[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.

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.

[Morbidity Compression in Stroke: Longitudinal Analyses on Changes in the Incidence of Stroke]. / Morbiditätskompression bei Schlaganfall? Langzeitanalysen zur Veränderung des Auftretens von Schlaganfall.

According to Fries, morbidity compression occurs if age at onset of disease/disability and age at death increase. Morbidity compression is also present if disease/disability rates decrease to the same or to a larger extent than standardized death rates. In all cases, healthy lifetime is gained. Not many studies on morbidity compression are available, and only a small number of them refer to specific diseases. Stroke is used as an example for examining whether morbidity compression has occurred over an observation period of 9 years. METHODS: The study was based on pseudonymized data of a statutory health insurance covering 2006-2014 with 2 million insured per year. Analyses were performed for all types of stroke, separately for cerebral infarction, and for hemorrhages (ICD 10: I60-I62). Calculations were performed by means of survival analyses and with multiple regression. RESULTS: In women and in men, rates decreased only for hemorrhagic strokes, while changes of onset age were difficult to interpret. Standardized death rates dropped only in males. CONCLUSIONS: Evidence in favor of morbidity compression was found only for decreasing rates of hemorrhagic strokes. It has, however, to be kept in mind that the findings refer to a single disease occurring relatively late in the life course. Comprehensive assessments of morbidity compression are only possible taking into consideration a broader spectrum of diseases.

Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data.

BACKGROUND: Previous research has produced evidence for social inequalities in multimorbidity, but little is known on how these disparities change over time. Our study investigates the development of social inequalities in multimorbidity among the middle-aged and older working population. Special attention is paid to whether differing time trends between socio-economic status (SES) groups have taken place, increasing or decreasing inequalities in multimorbidity. METHODS: The analyses are based on claims data of a German statutory health insurance company covering an observation period from 2005 to 2015. Multimorbidity prevalence risks are estimated using logistic generalized estimation equations (GEE) models. Predicted probabilities of multimorbidity prevalence are used to assess time trends in absolute social inequalities in terms of educational level, income, and occupational group. RESULTS: The prevalence risks of multimorbidity rose among all SES groups and social gradients persist throughout the observation period, indicating significantly higher multimorbidity prevalence risks for individuals with lower SES. Widening absolute inequalities are found among men in terms of educational level and among women in terms of occupational groups. CONCLUSIONS: The increases in multimorbidity prevalence among the working population are accompanied by widening social inequalities, pointing towards a growing disadvantage for men and women in lower SES groups. The rising burden and the increasing inequalities among the working population stress the importance of multimorbidity as a major public health concern.

[Changes in the Use of Health Insurance Services before and after a Father-Child Measure]. / Veränderung der Inanspruchnahme von Krankenkassenleistungen vor und nach einer Vater-Kind-Maßnahme.

INTRODUCTION: Since 2002 inpatient preventive and rehabilitative measures for fathers and their children (F-C-M) are available in the German health system (§§ 24 and 41 SGB V). So far there is no data on health disorders of the fathers in F-C-M. The aim of this study is to examine whether participants of F-C-M are more prone to health problems than fathers who are not participating in F-C-M and whether participation in F-C-M contributes to improved health. To do so, the change in the use of outpatient care services is examined and compared to the use of mentioned services by fathers who are not participating in an F-C-M. The research project is based on the routine data of AOK-Niedersachsen (AOKN). METHODS: Outpatient diagnoses and medications that were billed one year before and one year after the measure are used as outcome variables for outpatient use. The test sample (N=179) includes all fathers who participated in a F-C-M in 2005-2009 and were insured throughout. For these fathers, a comparative group of fathers who had not participated in a F-C-M (N=717) was formed in parallel. RESULTS: The investigation has shown that the participants of the F-C-M received more diagnoses and medications before and after the measure than fathers without F-C-M. Fathers under 40 years mostly got fewer diagnoses and medications after the measure than before the measure, whereas older people showed a higher claim after the measure. The participants of the F-C-M mainly have more F-diagnoses than fathers without F-C-M. In addition to that the increase in I-diagnoses and the increase in cardiovascular drugs are striking compared to the previous year. CONCLUSION: The increased use of the statutory health insurance benefits of participants of the F-C-M compared to non-participants indicates that the F-C-M is a health-impaired group of insured people. The high number of F-diagnoses further illustrates that the participants are particularly affected in this indication area. A positive effect of the measure is shown by the fact that younger fathers made reduced use of health insurance benefits, while in the case of older participants a treatment requirement was still predominant or was revealed in the context of the measure.

[Healthier after Psychotherapy? Analysis of Claims Data (Lower Saxony, Germany) on Sickness Absence Duration before and after Outpatient Psychotherapy]. / Gesünder nach der Psychotherapie? Sekundärdatenanalyse der Arbeitsunfähigkeitszeiten vor und nach ambulanter Verhaltenstherapie, tiefenpsychologisch fundierter und analytischer Psychotherapie.

INTRODUCTION: In employed populations sickness absence can be used as a good indicator of health status. In the present study, it was examined how periods of sickness absence are developing within one year before and after psychotherapy under comparison of three types of psychotherapy (behavior therapy, psychodynamic psychotherapy, and psychoanalysis), all fully covered by statutory health insurance. METHODS AND DATA: The analyses were performed with pseudonymized claims data from the AOK Niedersachsen, a statutory health insurance (N=2,900,065 insured). Certified sickness absences before and after psychotherapy were examined for 9,916 patients. Parallelized controls were used to build a comparison of the length of sickness absences. Analyses were performed separately for women and for men. RESULTS: Within one year before starting psychotherapy, patients had longer sickness absences than controls on average. There was a reduction in the length of sickness absence of 20 days (median) within one year before to 12 days (median) within one year after the psychotherapy. The obtained differences between types of psychotherapy were considerable. DISCUSSION: Differences in terms of sickness absences may in part be explained by socio-demographic differences. Patients who underwent psychoanalysis were younger and had higher educational levels. However, it remains unclear why the differences of sickness absence periods were that high. It has to be discussed whether self-selection of patients with better health into psychoanalysis had occurred. CONCLUSIONS: Patients undergoing psychoanalysis differ from patients who underwent other types of psychotherapy in terms of their duration of sickness absence as well as socio-demographic profile. Thus, due to differences in the composition of patients future research in psychotherapy will have to differentiate by type of psychotherapy.

[Healthcare expenditures and the role of demografic change : An analysis of statutory health insurance data]. / Gesundheitsausgabenentwicklung und der Einfluss des demografischen Wandels : Eine Analyse von Daten der Gesetzlichen Krankenversicherung.

The development of healthcare expenditures and the impact of demographic change are the subject of a controversial debate. Yearly healthcare expenditures have more than doubled between 1992 and 2015 and are often justified by the aging demographic. The majority of expenses are paid by the statutory health insurance (SHI). The aim of the current study was to evaluate the contribution of the demographic change to increasing total per capita expenditures in the SHI as well as to analyze the development and the impact in individual areas of spending.We calculated average per capita expenditures from 2004 to 2015 based on data from the German Federal (Social) Insurance Office. Information on the age distribution in SHI was derived from official statistics of the Federal Ministry of Health. To determine the impact of demographic change on per capita expenditures, age distribution was standardized based on 2004 data. Additionally, the impact of inflation and other factors was determined.The results show an increase in per capita expenditures from €1722 in 2004 to €2656 in 2015 (+54.2%). Assuming a constant age distribution at the 2004 level, average per capita expenditures would have increased by 44.9%. The relative share of demographic change is only 17.3%; 32.2% could be explained by inflation and 50.5% are based on other factors. We observed large differences in the increase for the individual areas of spending, which can partly be explained by the impact of demographic change.This analysis illustrates that the demographic change is not the frequently claimed cost driver in healthcare. Other factors have a substantially greater impact on healthcare expenditures.