The mortality burden related to COVID-19 in 2020 and 2021 - years of life lost and excess mortality in 13 countries and sub-national regions in Southern and Eastern Europe, and Central Asia.

Introduction: Between 2021 and 2023, a project was funded in order to explore the mortality burden (YLL-Years of Life Lost, excess mortality) of COVID-19 in Southern and Eastern Europe, and Central Asia. Methods: For each national or sub-national region, data on COVID-19 deaths and population data were collected for the period March 2020 to December 2021. Unstandardized and age-standardised YLL rates were calculated according to standard burden of disease methodology. In addition, all-cause mortality data for the period 2015-2019 were collected and used as a baseline to estimate excess mortality in each national or sub-national region in the years 2020 and 2021. Results: On average, 15-30 years of life were lost per death in the various countries and regions. Generally, YLL rates per 100,000 were higher in countries and regions in Southern and Eastern Europe compared to Central Asia. However, there were differences in how countries and regions defined and counted COVID-19 deaths. In most countries and sub-national regions, YLL rates per 100,000 (both age-standardised and unstandardized) were higher in 2021 compared to 2020, and higher amongst men compared to women. Some countries showed high excess mortality rates, suggesting under-diagnosis or under-reporting of COVID-19 deaths, and/or relatively large numbers of deaths due to indirect effects of the pandemic. Conclusion: Our results suggest that the COVID-19 mortality burden was greater in many countries and regions in Southern and Eastern Europe compared to Central Asia. However, heterogeneity in the data (differences in the definitions and counting of COVID-19 deaths) may have influenced our results. Understanding possible reasons for the differences was difficult, as many factors are likely to play a role (e.g., differences in the extent of public health and social measures to control the spread of COVID-19, differences in testing strategies and/or vaccination rates). Future cross-country analyses should try to develop structured approaches in an attempt to understand the relative importance of such factors. Furthermore, in order to improve the robustness and comparability of burden of disease indicators, efforts should be made to harmonise case definitions and reporting for COVID-19 deaths across countries.

The Burden of Disease due to COVID-19 (BoCO-19): A study protocol for a secondary analysis of surveillance data in Southern and Eastern Europe, and Central Asia.

INTRODUCTION: The COVID-19 pandemic has had an extensive impact on public health worldwide. However, in many countries burden of disease indicators for COVID-19 have not yet been calculated or used for monitoring. The present study protocol describes an approach developed in the project "The Burden of Disease due to COVID-19. Towards a harmonization of population health metrics for the surveillance of dynamic outbreaks" (BoCO-19). The process of data collection and aggregation across 14 different countries and sub-national regions in Southern and Eastern Europe and Central Asia is described, as well as the methodological approaches used. MATERIALS AND METHODS: The study implemented in BoCO-19 is a secondary data analysis, using information from national surveillance systems as part of mandatory reporting on notifiable diseases. A customized data collection template is used to gather aggregated data on population size as well as COVID-19 cases and deaths. Years of life lost (YLL), as one component of the number of Disability Adjusted Life Years (DALY), are calculated as described in a recently proposed COVID-19 disease model (the 'Burden-EU' model) for the calculation of DALY. All-cause mortality data are collected for excess mortality sensitivity analyses. For the calculation of Years lived with disability (YLD), the Burden-EU model is adapted based on recent evidence. Because Covid-19 cases vary in terms of disease severity, the possibility and suitability of applying a uniform severity distribution of cases across all countries and sub-national regions will be explored. An approach recently developed for the Global Burden of Disease Study, that considers post-acute consequences of COVID-19, is likely to be adopted. Findings will be compared to explore the quality and usability of the existing data, to identify trends across age-groups and sexes and to formulate recommendations concerning potential improvements in data availability and quality. DISCUSSION: BoCO-19 serves as a collaborative platform in order to build international capacity for the calculation of burden of disease indicators, and to support national experts in the analysis and interpretation of country-specific data, including their strengths and weaknesses. Challenges include inherent differences in data collection and reporting systems between countries, as well as assumptions that have to be made during the calculation process.

Health of people with selected citizenships: results of the study GEDA Fokus.

Background: The health situation of people with a history of migration is influenced by a variety of factors. This article provides an overview of the health of people with selected citizenships using various indicators. Methods: The analyses are based on the survey 'German Health Update: Fokus (GEDA Fokus)', which was conducted from November 2021 to May 2022 among people with Croatian, Italian, Polish, Syrian and Turkish citizenship. The prevalence for each health outcome is presented and differentiated by sociodemographic and migration-related characteristics. Poisson regressions were performed to identify relevant factors influencing health situation. Results: Self-assessed general health, the presence of depressive symptoms, prevalence of current smoking and the utilisation of general and specialist healthcare differed according to various factors considered here. In addition to sociodemographic determinants, the sense of belonging to society in Germany and self-reported experiences of discrimination were particularly associated with health outcomes. Conclusions: This article highlights the heterogeneity of the health situation of people with a history of migration and points to the need for further analyses to identify the reasons for health inequalities.

The Burden of Disease in Germany at the National and Regional Level.

BACKGROUND: .Summary measures such as disability-adjusted life years (DALY) are becoming increasingly important for the standardized assessment of the burden of disease due to death and disability. The BURDEN 2020 pilot project was designed as an independent burden-of-disease study for Germany, which was based on nationwide data, but which also yielded regional estimates. METHODS: DALY is defined as the sum of years of life lost due to death (YLL) and years lived with disability (YLD). YLL is the difference between the age at death due to disease and the remaining life expectancy at this age, while YLD quantifies the number of years individuals have spent with health impairments. Data are derived mainly from causes of death statistics, population health surveys, and claims data from health insurers. RESULTS: In 2017, there were approximately 12 million DALY in Germany, or 14 584 DALY per 100 000 inhabitants. Conditions which caused the greatest number of DALY were coronary heart disease (2321 DALY), low back pain (1735 DALY), and lung cancer (1197 DALY). Headache and dementia accounted for a greater disease burden in women than in men, while lung cancer and alcohol use disorders accounted for a greater disease burden in men than in women. Pain disorders and alcohol use disorders were the leading causes of DALY among young adults of both sexes. The disease burden rose with age for some diseases, including cardiovascular diseases, dementia, and diabetes mellitus. For some diseases and conditions, the disease burden varied by geographical region. CONCLUSION: The results indicate a need for age- and sex-specific prevention and for differing interventions according to geographic region. Burden of disease studies yield comprehensive population health surveillance data and are a useful aid to decision-making in health policy.

Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany.

Germany is a country of immigration; 27% of the population are people with a migration background (PMB). As other countries, Germany faces difficulties in adequately including hard-to-survey populations like PMB into national public health monitoring. The IMIRA project was initiated to develop strategies to adequately include PMB into public health monitoring and to represent diversity in public health reporting. Here, we aim to synthesize the lessons learned for diversity-oriented public health monitoring and reporting in Germany. We also aim to derive recommendations for further research on migration and health. We conducted two feasibility studies (interview and examination surveys) to improve the inclusion of PMB. Study materials were developed in focus groups with PMB. A systematic review investigated the usability of the concept of acculturation. A scoping review was conducted on discrimination as a health determinant. Furthermore, core indicators were defined for public health reporting on PMB. The translated questionnaires were well accepted among the different migrant groups. Home visits increased the participation of hard-to-survey populations. In examination surveys, multilingual explanation videos and video-interpretation services were effective. Instead of using the concept of acculturation, we derived several dimensions to capture the effects of migration status on health, which were more differentiated. We also developed an instrument to measure subjectively perceived discrimination. For future public health reporting, a set of 25 core indicators was defined to report on the health of PMB. A diversity-oriented public health monitoring should include the following: (1) multilingual, diversity-sensitive materials, and tools; (2) different modes of administration; (3) diversity-sensitive concepts; (4) increase the participation of PMB; and (5) continuous public health reporting, including constant reflection and development of concepts and methods.

The COVID-19 Disease Burden in Germany in 2020­Years of Life Lost to Death and Disease Over the Course of the Pandemic.

BACKGROUND: The SARS-CoV-2 pandemic presented major challenges to the health sector in 2020. The burden of disease arising from COVID-19 can be expressed as the number of years of life lost to disease or death. For example, death at age 40 involves a loss of far more years of life than death at age 80. METHODS: The disability-adjusted life years (DALY) lost to COVID-19 were calculated as the sum of the years of life lost through death (YLL) and the number of years lived with disability (YLD), on the basis of laboratory-confirmed notifiable cases of SARS-CoV-2 infection in Germany in 2020 (documented as of 18 January 2021). The methodology was based on that used in the Global Burden of Disease Study. Pre-existing diseases do not enter into the determination of YLL; rather, the residual life expectancy that is applied in this calculation corresponds to a mean age-specific level of morbidity. RESULTS: 305 641 years of life were lost to COVID-19 in Germany in 2020. The percentage of DALY lost by persons under 70 was 34.8% in men and 21.0% in women. 99.3% of the COVID-19 disease burden was accounted for by death (YLL). The daily average years of life lost due to death was lower for COVID-19 than for the major non-communicable diseases. Persons who died of COVID-19 lost a mean of 9.6 years of life; those who were under 70 when they died lost a mean of 25.2 years of life. Men lost more years of life than women (11.0 vs. 8.1 years). CONCLUSION: The effects of COVID-19 on public health can be expressed through the burden of disease indicators. This method yields additional information that should be put to use early in the course of future outbreaks.

The Excess Costs of Depression and the Influence of Sociodemographic and Socioeconomic Factors: Results from the German Health Interview and Examination Survey for Adults (DEGS).

INTRODUCTION: The aim of this study was to estimate excess costs of depression in Germany and to examine the influence of sociodemographic and socioeconomic determinants. METHODS: Annual excess costs of depression per patient were estimated for the year 2019 by comparing survey data of individuals with and without self-reported medically diagnosed depression, representative for the German population aged 18-79 years. Differences between individuals with depression (n = 223) and without depression (n = 4540) were adjusted using entropy balancing. Excess costs were estimated using generalized linear model regression with a gamma distribution and log-link function. We estimated direct (inpatient, outpatient, medication) and indirect (sick leave, early retirement) excess costs. Subgroup analyses by social determinants were conducted for sex, age, socioeconomic status, first-generation or second-generation migrants, partnership, and social support. RESULTS: Total annual excess costs of depression amounted to €5047 (95% confidence interval [CI] 3214-6880) per patient. Indirect excess costs amounted to €2835 (1566-4103) and were higher than direct excess costs (€2212 [1083-3341]). Outpatient (€498), inpatient (€1345), early retirement (€1686), and sick leave (€1149) excess costs were statistically significant, while medication (€370) excess costs were not. Regarding social determinants, total excess costs were highest in the younger age groups (€7955 for 18-29-year-olds, €9560 for 30-44-year-olds), whereas total excess costs were lowest for the oldest age group (€2168 for 65+) and first-generation or second-generation migrants (€1820). CONCLUSIONS: Depression was associated with high excess costs that varied by social determinants. Considerable differences between the socioeconomic and sociodemographic subgroups need further clarification as they point to specific treatment barriers as well as varying treatment needs.

How Many Older Informal Caregivers Are There in Europe? Comparison of Estimates of Their Prevalence from Three European Surveys.

Informal caregivers are people providing some type of unpaid, ongoing assistance to a person with a chronic illness or disability. Long-term care measures and policies cannot take place without taking into account the quantitatively crucial role played by informal caregivers. We use the European Health Interview Survey (EHIS), the European Quality of Life Survey (EQLS), and the Study on Health and Ageing in Europe (SHARE) to measure the prevalence of informal caregivers in the European population, and analyze associated socio-demographic factors. This rate ranges between about 13 percent in Portugal and Spain, and more than 22 percent in Luxembourg, Belgium, and Denmark. It declines in older age groups and, on average, is lower in men than in women in all countries studied, and lower among the poorly educated compared to those with higher levels of education. However, large variance was observed in the average share of informal caregivers for most countries between the three surveys. Our findings, estimated through the three surveys, reveal common trends, but also a series of disparities. Additional research will be needed to enable policy makers to access a richer and more harmonized body of data, allowing them to adopt truly evidence-based and targeted policies and interventions in this field.

Frequent attenders in the German healthcare system: determinants of high utilization of primary care services. Results from the cross-sectional German health interview and examination survey for adults (DEGS).

BACKGROUND: In Germany, patients are consulting general practitioners increasingly frequently, resulting in a high burden on the healthcare system. This study aimed to identify factors associated with frequent primary care attendance in the German healthcare system. METHODS: The German Health Interview and Examination Survey for Adults (DEGS) is part of Germany's national health monitoring, and includes a large representative sample of the German population aged 18-79 years. We defined the 10% of participants with the highest number of general practitioner contacts in the preceding 12 months as frequent attenders of primary care services. Binary logistic regression models with average marginal effects were used to identify potential determinants for frequent use of primary care services. RESULTS: The sample comprised 7956 participants. Significant effects on frequent use of primary care were observed for low socioeconomic status, stressful life events, factors related to medical need for care such as medically diagnosed chronic conditions and for subjective health. In the full model, the number of non-communicable diseases and subjective health status had the strongest effect on frequent primary care use. We found an interaction effect suggesting that the association between subjective health status and frequent attendance vanishes with a higher number of non-communicable diseases. CONCLUSIONS: We observed strong associations between frequent primary care attendance and medical need for care as well as subjective health-related factors. These findings suggest that better coordination of care may be a preferred method to manage health services utilization and to avoid redundant examinations and uncoordinated clinical pathways. Further research is needed to clarify moderating and mediating factors contributing to high utilization of primary care services.

[Prevalence of wearing glasses for children and adolescents in Germany and their ophthalmological care : Results of the nationwide KiGGS baseline survey (2003-2006)]. / Prävalenz des Brillentragens von Kindern und Jugendlichen in Deutschland und deren augenärztliche Versorgung : Ergebnisse der KiGGS-Basiserhebung (2003­2006).

BACKGROUND: Vision-relevant refractive errors in children require regular ophthalmological control examinations. In this study we estimated the prevalence of wearing glasses for children and adolescents in Germany and the frequency of ophthalmological care. METHODS: We analyzed data of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS, baseline survey 2003-2006, N = 17,640). Wearing glasses was documented from the age of 3 years in the examination part. We estimated the prevalence of wearing glasses and investigated the relationship with ophthalmological care during the preceding 12 months. Multivariable logistic regression analysis was used to calculate adjusted odds ratios (OR) and 95% confidence intervals (95%CI). Associations were adjusted for age, gender, socioeconomic status, migration background, residence (East/West Germany), participation in regular pediatric check-ups, and presence of strabismus. RESULTS: The prevalence of wearing glasses was 19.7% (95% CI: 18.8-20.5%) in the age range of 3-17 years. The prevalence was higher in girls (22.1%; 21.0-23.3%) compared to boys (17.3%; 16.3-18.3%) and increased with age up to 29.2% (27.6-30.9%) in the age group 14-17 years. The frequency of ophthalmological care within the last 12 months was 61.6% (59.4-63.8%) for those wearing glasses and 15.2% (14.3-6.2%) for those without glasses. Regression analysis revealed an association between ophthalmological care and wearing glasses (OR = 11.4; 10.1-13.0). CONCLUSION: In Germany, wearing glasses depends on gender and age and almost one third of adolescents already wear glasses. The majority of children and adolescents wearing glasses visit an ophthalmologist once a year.

BURDEN 2020-Burden of disease in Germany at the national and regional level.

BACKGROUND: Evidence-based policy measures need non-interest-guided information about the health status of a population and the diseases that affect the population the most. In such cases, a national burden of disease study can provide reliable insights at the regional level. AIM: This article presents the potential of the BURDEN 2020 project and its expected outcome for Germany at the national and regional level. METHODS: The BURDEN 2020 project uses several indicators including years of life lost (YLL) to cover the impact of mortality and years lived with disability (YLD) to cover morbidity. The sum of both is the measure of population health called disability adjusted life years (DALY). RESULTS: The study ranks individual diseases and risk factors based on their impact on population health. The burden of disease approach is assumed to be sensitive to subnational differences and may generate immediate benefits for regional planning. The BURDEN 2020 study will pilot a national burden of disease study for Germany that will later be transformed into a continuous data processing and visualization tool. This is done by using, modifying and supplementing the methodology employed by the Global Burden of Disease (GBD) study to better fit the needs of health policy in Germany. This study is aimed at calculating the disease burden for up to 17 preselected diseases. Furthermore, the estimates of burden of disease are attributed to a selected set of risk factors. CONCLUSION: The Burden 2020 study will provide the results of a new, health-related data processing system to the public. This includes a noninterest-guided presentation of the burden of disease (DALY) in Germany at the national and regional level.

Utilization of physical therapy, speech therapy and occupational therapy by children and adolescents in Germany.Results of the cross-sectional KiGGS Wave 2 study and trends.

Allied health services such as physical therapy, speech therapy and occupational therapy contribute to the early treatment of health disorders in children and adolescents and promote a healthy development. This article describes the utilization of these allied health services by children and adolescents in Germany and analyses its association with demographic and social factors. The analyses are based on the second wave of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2, 2014-2017) including 15,023 participants. Trends are calculated in comparison with the KiGGS baseline study (2003-2006). Within one year, 9.6% of children and adolescents in Germany use physical therapy, 6.1% speech therapy and 4.0% occupational therapy. Speech therapy and occupational therapy are used more frequently by boys than by girls. The utilization of speech therapy is highest among 3- to 6-year-olds with 15.0%. Occupational therapy (8.3%) is most frequently used by 7- to 10-year-olds and physical therapy (16.9%) by 14- to 17-year-olds. Social differences are evident mainly in the higher utilization of occupational therapy and speech therapy and a lower utilization of physical therapy by socially disadvantaged children and adolescents. Over the last ten years, the utilization of speech therapy and physical therapy in children and adolescents has increased significantly.

Social differences in the utilization of medical services by children and adolescents in Germany. Results of the cross-sectional KiGGS Wave 2 study.

Data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) enable conclusions about the utilization of outpatient and inpatient medical services by children and adolescents accounting the family's socioeconomic status (SES). Results from the second follow-up to the KiGGS survey (KiGGS Wave 2), which covers the years 2014 to 2017, clearly demonstrate that children and adolescents from families with a low SES visit specialists in general medicine, gynaecologists and psychiatrists, as well as child and adolescent psychiatrists, psychotherapists and psychologists more frequently. In contrast, children and adolescents from families with a high SES visit paediatric, dermatological, dental and orthodontic practices more often. No statistically significant differences between the status groups with regard to the utilization of outpatient medical services in hospitals were identified. However, children and adolescents from the low status group received inpatient hospital treatment more frequently and, on average, spent more nights in hospital. These results reflect status-specific differences both in disease prevalence and care, as well as in patterns related to the utilization of medical services.

[What potential do geographic information systems have for population-wide health monitoring in Germany? : Perspectives and challenges for the health monitoring of the Robert Koch Institute]. / Welches Potenzial haben Geoinformationssysteme für das bevölkerungsweite Gesundheitsmonitoring in Deutschland? : Perspektiven und Herausforderungen für das Gesundheitsmonitoring am Robert Koch-Institut.

Geographic information systems (GISs) are computer-based systems with which geographical data can be recorded, stored, managed, analyzed, visualized and provided. In recent years, they have become an integral part of public health research. They offer a broad range of analysis tools, which enable innovative solutions for health-related research questions. An analysis of nationwide studies that applied geographic information systems underlines the potential this instrument bears for health monitoring in Germany. Geographic information systems provide up-to-date mapping and visualization options to be used for national health monitoring at the Robert Koch Institute (RKI). Furthermore, objective information on the residential environment as an influencing factor on population health and on health behavior can be gathered and linked to RKI survey data at different geographic scales. Besides using physical information, such as climate, vegetation or land use, as well as information on the built environment, the instrument can link socioeconomic and sociodemographic data as well as information on health care and environmental stress to the survey data and integrate them into concepts for analyses. Therefore, geographic information systems expand the potential of the RKI to present nationwide, representative and meaningful health-monitoring results. In doing so, data protection regulations must always be followed. To conclude, the development of a national spatial data infrastructure and the identification of important data sources can prospectively improve access to high quality data sets that are relevant for the health monitoring.

Socioeconomic Inequalities in Health and Perceived Unmet Needs for Healthcare among the Elderly in Germany.

Research into health inequalities in the elderly population of Germany is relatively scarce. This study examines socioeconomic inequalities in health and perceived unmet needs for healthcare and explores the dynamics of health inequalities with age among elderly people in Germany. Data were derived from the Robert Koch Institute's cross-sectional German Health Update study. The sample was restricted to participants aged 50-85 years (n = 11,811). Socioeconomic status (SES) was measured based on education, (former) occupation, and income. Odds ratios and prevalence differences were estimated using logistic regression and linear probability models, respectively. Our results show that self-reported health problems were more prevalent among men and women with lower SES. The extent of SES-related health inequalities decreased at older ages, predominantly among men. Although the prevalence of perceived unmet needs for healthcare was low overall, low SES was associated with higher perceptions of unmet needs in both sexes and for several kinds of health services. In conclusion, socioeconomic inequalities in health exist in a late working age and early retirement but may narrow at older ages, particularly among men. Socially disadvantaged elderly people perceive greater barriers to accessing healthcare services than those who are better off.

Individual and Regional Determinants for Physical Therapy Utilization in Germany: Multilevel Analysis of National Survey Data.

BACKGROUND: Physical therapy is included in many clinical guidelines and is a commonly used health service. However, access to its benefits should not strongly depend on social or demographic factors. OBJECTIVE: The present study used the Andersen model to explain to what extent physical therapy utilization in Germany depends on factors beyond medical need. METHODS: The German Health Interview and Examination Survey for Adults (DEGS, 2008-2011; target population, 18-79 years) is part of the German health-monitoring system. Two-stage stratified cluster sampling resulted in a sample of 8152 participants. Data were matched with district-related information on social structures and service supply. Following Andersen's Behavioral Model of Health Services Use, this study identified predisposing, enabling, and need factors for physical therapy utilization using multilevel logistic regression analyses. RESULTS: Physical therapy was used by 23.4% (95% CI: 22.0-24.8) of the German population within one year, with a higher proportion of females (26.8%; 95% CI: 25.1-28.6) than males (19.9%; 95% CI: 18.1-21.8) and an increase with age. Beyond medical need, physical therapy utilization depended on higher education, migrant background, nonsmoking (predisposing), social support, higher income, private health insurance, and gatekeeping service contact (enabling). Variation among districts partly reflected regional supply. LIMITATIONS: Because the present study was cross-sectional, its findings provide representative information on physical therapy use but do not establish final causal links or identify whether utilization or supply in certain districts or population groups is adequate. CONCLUSIONS: Whether certain regions are under- or overserved and whether further regulations are needed is of political interest. Physicians and therapists should develop strategies to improve both adherence of hard-to-reach groups and supply in low-supply regions.

Socioeconomic Status and Use of Outpatient Medical Care: The Case of Germany.

BACKGROUND: Socially disadvantaged people have an increased need for medical care due to a higher burden of health problems and chronic diseases. In Germany, outpatient care is chiefly provided by office-based general practitioners and specialists in private practice. People are free to choose the physician they prefer. In this study, national data were used to examine differences in the use of outpatient medical care by socioeconomic status (SES). METHODS: The analyses were based on data from 6,754 participants in the Robert Koch Institute's German Health Interview and Examination Survey for Adults (DEGS1) aged between 18 and 69 years. The number of outpatient physician visits during the past twelve months was assessed for several medical specializations. SES was determined based on education, occupation, and income. Associations between SES and physician visits were analysed using logistic regression and zero-truncated negative binomial regression for count data. RESULTS: After adjusting for sociodemographic factors and health indicators, outpatients with low SES had more contacts with general practitioners than outpatients with high SES (men: incidence rate ratio [IRR] = 1.25; 95% confidence interval [CI] = 1.08-1.46; women: IRR = 1.20; 95% CI = 1.07-1.34). The use of specialists was lower in people with low SES than in those with high SES when sociodemographic factors and health indicators were adjusted for (men: odds ratio [OR] = 0.68; 95% CI = 0.51-0.91; women: OR = 0.56; 95% CI = 0.41-0.77). This applied particularly to specialists in internal medicine, dermatology, and gynaecology. The associations remained after additional adjustment for the type of health insurance and the regional density of office-based physicians. CONCLUSION: The findings suggest that socially disadvantaged people are seen by general practitioners more often than the socially better-off, who are more likely to visit a medical specialist. These differences may be due to differences in patient preferences, physician factors, physician-patient interaction, and potential barriers to accessing specialist care.

[Migration and Addiction Services--Utilization Among People with a Migration Background]. / Migration und Suchthilfe--Inanspruchnahme von Leistungen durch Menschen mit Migrationshintergrund.

AIM: The present contribution scrutinizes the assumption that people with a migration background (PMB) make less use of addiction services than non-migrants. METHODS: Differentiated by diagnoses, the proportions of PMB in the Statistical Report on Substance Abuse Treatment in Germany are compared to the share of PMB in the general population. RESULTS: German born PMB treated due to the consumption of cocaine, opioids, cannabinoids or pathological gambling show a disproportionately high use of addiction services. In contrast, foreign born PMB are rather under-represented. These patterns are invariant over time. CONCLUSIONS: The use of addiction services is not generally lower among PMB. Within PMB there is considerable variation regarding needs and help seeking behavior.