Diabetes ‘Epidemic’ in Germany? A Critical Look at Health Insurance Data Sources

Prospective health care costs and lost work days associated with diabetes-related distress and depression symptoms among 1488 individuals with diabetes

The aim of this study was to investigating the impact of major depression symptoms and diabetes-related distress on future health care costs and lost workdays in individuals with diabetes. We linked survey data from a random sample of a German statutory health insurance (SHI) with diabetes (n = 1488, 63.0% male, mean age 66.9 years) with their SHI data one year after the survey. Within the survey data we identified major depression symptoms (Patient Health Questionnaire-9) and diabetes-related distress (Problem Areas in Diabetes Scale). We retrieved health care costs and lost workdays from SHI data. To assess the impact of major depression symptoms and diabetes-related distress on health care costs and lost workdays, we adjusted regression models for age, sex, education, employment status, and diabetes duration, type, and severity. Major depression symptoms were associated with significantly higher costs (by a factor of 1.49; 95% CI: 1.18-1.88). Lost workdays were also more likely for respondents with depression symptoms (RR1.34; 0.97-1.86). Health care costs (by a factor of 0.81; 0.66-1.01) and the risk of lost workdays (RR 0.86; 0.62-1.18) may be lower among respondents with high diabetes-related distress. While major depression and diabetes-related distress have overlapping indicators, our results indicate different impacts on health care costs.

Busch M, Haller S, Hapke U, Neuhauser H, Reitzle L, Scheidt-Nave C, Schlotmann A, Steppuhn H, Thom J, Ziese T, Rommel A. 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.

Mortality, Morbidity and Health-Related Outcomes in Informal Caregivers Compared to Non-Caregivers: A Systematic Review

A systematic overview of mental and physical disorders of informal caregivers based on population-based studies with good methodological quality is lacking. Therefore, our aim was to systematically summarize mortality, incidence, and prevalence estimates of chronic diseases in informal caregivers compared to non-caregivers. Following PRISMA recommendations, we searched major healthcare databases (CINAHL, MEDLINE and Web of Science) systematically for relevant studies published in the last 10 years (without language restrictions) (PROSPERO registration number: CRD42020200314). We included only observational cross-sectional and cohort studies with low risk of bias (risk scores 0–2 out of max 8) that reported the prevalence, incidence, odds ratio (OR), hazard ratio (HR), mean- or sum-scores for health-related outcomes in informal caregivers and non-caregivers. For a thorough methodological quality assessment, we used a validated checklist. The synthesis of the results was conducted by grouping outcomes. We included 22 studies, which came predominately from the USA and Europe. Informal caregivers had a significantly lower mortality than non-caregivers. Regarding chronic morbidity outcomes, the results from a large longitudinal German health-insurance evaluation showed increased and statistically significant incidences of severe stress, adjustment disorders, depression, diseases of the spine and pain conditions among informal caregivers compared to non-caregivers. In cross-sectional evaluations, informal caregiving seemed to be associated with a higher occurrence of depression and of anxiety (ranging from 4 to 51% and 2 to 38%, respectively), pain, hypertension, diabetes and reduced quality of life. Results from our systematic review suggest that informal caregiving may be associated with several mental and physical disorders. However, these results need to be interpreted with caution, as the cross-sectional studies cannot determine temporal relationships. The lower mortality rates compared to non-caregivers may be due to a healthy-carer bias in longitudinal observational studies; however, these and other potential benefits of informal caregiving deserve further attention by researchers.

[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]

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.

Epidemiology of urticaria in German children

BACKGROUND

To date, robust epidemiological metrics as well as data on comorbidity in pediatric urticaria are lacking. They form the basis for the design of efficient healthcare.

METHODS

Retrospective study to analyze epidemiological data in pediatric urticaria. The analysis is based on routine data of a health insurance company operating throughout Germany (DAK-Gesundheit). Insured people under 18 years of age who received at least one confirmed outpatient or inpatient urticaria diagnosis according to the ICD-10 classification in the years 2010 to 2015 were included in the analysis and compared to children without a corresponding diagnosis.

RESULTS

Of 2.3 million insured individuals, 313,581 (13.5 %) were under 18 years of age (153,214 female). Urticaria was diagnosed in 1.7 % of the 313,581 patients. The prevalence of urticaria decreased with age from 3.0 % in the 0-3-year age group to 1.0 % in the 14-18-year age group. Boys and girls were almost equally affected in all age groups. Atopic diseases as comorbidity occurred more frequently in children with urticaria than in the control group (16.0 % vs. 8.0 %). Autoimmune diseases, mental health problems, and obesity also occurred more frequently in children with urticaria than in the control group.

CONCLUSIONS

The increased prevalence of specific comorbidities in children with urticaria suggests an increased need for screening. Multimodal treatment strategies need to be developed and interdisciplinary collaboration promoted.

Assessment of excess medical costs for persons with type 2 diabetes according to age groups: an analysis of German health insurance claims data

AIM

This cross-sectional study used a large nationwide claims data set to assess the excess medical costs of people with type 2 diabetes according to age group in 2015.

METHODS

Data from 291 709 people with diabetes and 291 709 age- and sex-matched controls were analysed. Total costs (expressed as 2015 euros) of outpatient and inpatient services, medication, rehabilitation, and the provision of aids and appliances were examined. Overall and age-stratified excess costs of people with diabetes were estimated using gamma regression with a log-link.

RESULTS

Overall, the estimated total direct costs of a person with type 2 diabetes are approximately double those of a person without diabetes: €4727 vs. €2196, respectively. Absolute excess costs were approximately the same in all age groups (around €2500), however, relative excess costs of persons with diabetes were much higher in younger (~ 334% for < 50 years) than in older age groups (~ 156% for ≥ 80 years). Regional costs, both absolute and excess, partly differed from the national level.

CONCLUSIONS

This study complements and updates previous studies on the excess medical costs of people with diabetes in Germany. The results indicate the importance of preventing the development of type 2 diabetes, especially in younger age groups. Longitudinal and regional studies examining changes in prevalence and the development of excess costs in groups with different types of diabetes, and according to age, would be of interest to validate our findings and better understand the avoidable burden of having diabetes.

Impact of socioeconomic status on the clinical profile of patients with non-traumatic lower-limb amputation

INTRODUCTION

To analyse the influence of socioeconomic status on the clinical profile of patients undergoing non-traumatic lower-limb amputation.

METHODS

Retrospective study of 697 lower-limb amputee patients in an Angiology and Vascular Surgery Department during a 5-year period. Patients were classified according to their socioeconomic status (low, medium and high). We analysed demographic (age and gender) and clinical variables (cause of amputation, comorbidity, cardiovascular risk factors and amputation level).

RESULTS

Mean age was 70.5 ± 11.9 years, and the median was 72 years. The low socioeconomic status group presented a higher frequency of amputations in men. Cardiovascular risks factors were more frequent in this socioeconomic group, and the difference was statistically significant for diabetes (85.8% low, 69.3% medium, 65% high; P<.01) and obesity (31.4% low, 22.6% medium, 12.5% high, P<.01). Diabetic retinopathy was the only comorbidity with a significant association with low socioeconomic status (21.1% low, 15.3% medium, 12.5% high, P<.03). Regarding the cause for amputation, there was no difference in terms of socioeconomic status. The low socioeconomic level showed a higher frequency of major amputation, which was a significant difference (63.6% low, 41.2% medium, 55% high, P<.04) and a higher predisposition for this amputation level.

CONCLUSIONS

The low socioeconomic status has been shown to determine an unfavourable vascular risk profile in lower-limb non-traumatic amputees and a higher predisposition of a major amputation. This socioeconomic level demonstrates a negative influence on these patients' diabetes, obesity and diabetic retinopathy.

Adjusting selection bias in German health insurance records for regional prevalence estimation

BACKGROUND

Regional prevalence estimation requires epidemiologic data with substantial local detail. National health surveys may lack in sufficient local observations due to limited resources. Therefore, corresponding prevalence estimates may not capture regional morbidity patterns with the necessary accuracy. Health insurance records represent alternative data sources for this purpose. Fund-specific member populations have more local observations than surveys, which benefits regional prevalence estimation. However, due to national insurance market regulations, insurance membership can be informative for morbidity. Regional fund-specific prevalence proportions are selective in the sense that the morbidity structure of a fund's member population cannot be extrapolated to the national population. This implies a selection bias that marks a major obstacle for statistical inference. We provide a methodology to adjust fund-specific selectivity and perform regional prevalence estimation from health insurance records. The methodology is applied to estimate regional cohort-referenced diabetes mellitus type 2 prevalence in Germany.

METHODS

Records of the German Public Health Insurance Company from 2014 and Diagnosis-Related Group Statistics data are combined within a benchmarked multi-level model. The fund-specific selectivity is adjusted in a two-step procedure. Firstly, the conditional expectation of the insurance company's regional prevalence given related inpatient diagnosis frequencies of its members is quantified. Secondly, the regional prevalence is estimated by extrapolating the conditional expectation using corresponding inpatient diagnosis frequencies of the Diagnosis-Related Group Statistics as benchmarks. Model assumptions are validated via Monte Carlo simulation. Variable selection is performed via multivariate methods. The optimal model fit is determined by analysis of variance. 95% confidence intervals for the estimates are constructed via semiparametric bootstrapping.

RESULTS

The national diabetes mellitus type 2 prevalence is estimated at 8.70% with a 95% confidence interval of [8.48%, 9.35%]. This indicates an adjustment of the original fund-specific prevalence from - 32.79 to - 25.93%. The estimated disease distribution shows significant morbidity differences between regions, especially between eastern and western Germany. However, the cohort-referenced estimates suggest that these differences can be partially explained by regional demography.

CONCLUSIONS

The proposed methodology allows regional prevalence estimation in remarkable detail despite fund-specific selectivity. This enhances and encourages the use of health insurance records for future epidemiologic studies.

Lower-extremity amputations in people with and without diabetes in Germany, 2008-2012 - an analysis of more than 30 million inhabitants

Background and purpose

Lower-extremity amputations (LEAs) in people with diabetes are associated with reduced quality of life and increased health care costs. Detailed knowledge on amputation rates (ARs) is of utmost importance for future health care and economics strategies. We conducted the present cohort study in order to estimate the incidences of LEA as well as relative and attributable risk due to diabetes and to investigate time trends for the period 2008–2012.

Methods

On the basis of the administrative data from three large branches of German statutory health insurers, covering ~34 million insured people nationwide (about 40% of the German population), we estimated age-sex-standardized AR (first amputation per year) in the populations with and without diabetes for any, major, and minor LEAs. Time trends were analyzed using Poisson regression.

Results

A total of 108,208 individuals (diabetes: 67.3%; mean age 72.6 years) had at least one amputation. Among people with diabetes, we observed a significant reduction in major and minor ARs during 2008–2012 from 81.2 (95% CI 77.5–84.9) to 58.4 (55.0–61.7), and from 206.1 (197.3–214.8) to 177.0 (169.7–184.4) per 100,000 person-years, respectively. Among people without diabetes, the major AR decreased significantly from 14.3 (13.9–14.8) to 11.6 ([11.2–12.0], 12.0), whereas the minor AR increased from 15.8 (15.3–16.3) to 17.0 (16.5–17.5) per 100,000 person-years. The relative risk (RR) comparing the diabetic with the nondiabetic populations decreased significantly for both major and minor LEAs (4% and 5% annual reduction, respectively).

Conclusion

In this large nationwide population, we still found higher major and minor ARs among people with diabetes compared with those without diabetes. However, AR and RR of major and minor LEAs in the diabetic compared with the nondiabetic population decreased significantly during the study period, confirming a positive trend that has been observed in smaller and regional studies in recent years.

[Differences in chronic back pain and joint disorders among health insurance funds : Results of a cross-sectional study based on the data of the Socioeconomic Panel from 2013]

BACKGROUND

Health services research uses increasingly data from health insurance funds. It is well known that the funds differ with regard to sociodemographic characteristics and morbidity. It is uncertain if there are also differences in the prevalence of musculoskeletal disorders.

OBJECTIVE

To compare the sociodemographic characteristics in various health insurance funds and the prevalence of joint disorders and chronic back pain.

METHOD

The 30^th wave (2013) of the German Socioeconomic Panel served as a database. Average age, sex distribution, nationality, education, and employment status were evaluated according to the health insurance funds. The prevalence of joint disorders and chronic back pain were also stratified according to the insurance funds and standardized according to age and sex.

RESULTS

A total of 19,146 participants were included. Most participants (4,934) were insured by AOK, followed by BKK (2,632) and BARMER GEK (2,398). There were huge differences among the health insurance funds with regard to the sociodemographic characteristics. For example, the proportion of unemployed insurants was between 33.3 % (IKK) and 50.6 % (AOK). The prevalence of joint disorders standardized according to age and sex (20.7 %; 95 % CI: 20.1-21.3) was between 17.4 % (95 % CI: 15.8-19.0; PKV) and 22.4 % (95 % CI: 21.1-23.6; AOK). The prevalence of chronic back pain (18.0 %; 95 % CI: 17.4-18.5) was between 13.5 % (95 % CI: 12.2-14.9; PKV) and 20.6 % (95 % CI: 19.4-21.8; AOK).

CONCLUSION

There are differences in the prevalence of musculoskeletal disorders among health insurance funds. The extrapolation of analyses of one health insurance fund to the German population is thus limited.

[Pain medication in nursing home residents with and without cancer. Most frequently with metamizole]

BACKGROUND

Pain is a highly prevalent symptom in nursing home residents. The analgesic pharmacotherapy of older adults is associated with challenges; however, studies from Germany examining the prescription pattern of analgesics in nursing home residents are rare.

OBJECTIVES

This study was carried out to examine the prescription of analgesics in nursing home residents with and without the diagnosis of cancer.

MATERIAL AND METHODS

Using health insurance claims data persons aged ≥ 65 years who were newly admitted to a nursing home between 2004 and 2009 and who survived at least the first 90 days after admission were included in the study. Cancer was identified by outpatient diagnoses of malignant neoplasms (ICD-10: C00-C97). Prescription drugs within the first 90 days after admission to a nursing home were analyzed which means that aspirin and acetaminophen were not taken into account.

RESULTS

A total of 5549 nursing home residents were included, who were on average 81.5 years old (56.8 % females). More than half (53.5 %) were assigned to care level I and 781 (14.1 %) were diagnosed with cancer. The study cohort received on average 7.8 different medications (with vs. without cancer: 8.6 vs. 7.6, respectively) and 43.8 % had prescriptions for analgesics (with vs. without cancer: 52.5 vs. 42.3 %, respectively). A total of 37.1 % were taking WHO step 1 analgesics (step 2: 11.4 % and step 3: 9.2 %). The proportion of persons receiving metamizole (dipyrone) was 28.3 % (with vs. without cancer: 35.6 vs. 27.1 %, respectively). Regarding all prescriptions, metamizole was by far the most frequently prescribed medication in nursing homes followed by melperone and omeprazole.

CONCLUSION

Approximately one third of nursing home residents received metamizole and most were long-term prescriptions. Considering that metamizole is associated with potentially life-threatening adverse effects, caution is indicated particularly when prescribed over long periods.

[Differences in sociodemographic characteristics, health, and health service use of children and adolescents according to their health insurance funds]

Differences in the socioeconomic characteristics and morbidity between members of German private and statutory health insurance funds and also between several statutory health insurances have been shown for adults. We used data from the National Health Survey for Children and Adolescents (KiGGS) to study differences in sociodemographic characteristics, health risks, morbidity, and health service use in child and adolescent insurants of different types of health insurance funds (Ersatzkasse, Allgemeine Ortskrankenkasse, Betriebskrankenkasse , Innungskrankenkasse, other statutory health insurance funds, private health insurance). Differences in the proportion of respondents with a migration background, somatic diseases, psychopathological problems, and contact with a dentist between the different health insurance fund types were found. These results should be considered in studies on health inequalities, which often focus solely on differences between statutory and private health insurance. Our results are also of relevance for health services research using the claims data of health insurance funds.

Diagnoses indicating pain and analgesic drug prescription in patients with dementia: a comparison to age- and sex-matched controls

Background

The evidence of undertreatment of pain in patients with dementia is inconsistent. This may largely be due to methodological differences and shortcomings of studies. In a large cohort of patients with incident dementia and age- and sex-matched controls we examined (1) how often they receive diagnoses indicating pain, (2) how often they receive analgesics and (3) in which agents and formulations.

Methods

Using health insurance claims data we identified 1,848 patients with a first diagnosis of dementia aged ≥ 65 years and 7,385 age- and sex-matched controls. We analysed differences in diagnoses indicating pain and analgesic drugs prescribed between these two groups within the incidence year. We further fitted logistic regression models and stepwise adjusted for several covariates to study the relation between dementia and analgesics.

Results

On average, patients were 78.7 years old (48% female). The proportions receiving at least one diagnosis indicating pain were similar between the dementia and control group (74.4% vs. 72.5%; p = 0.11). The proportion who received analgesics was higher in patients with dementia in the crude analysis (47.5% vs. 44.7%; OR: 1.12; 95% CI: 1.01-1.24), but was significantly lower when adjusted for socio-demographic variables, care dependency, comorbidities and diagnoses indicating pain (OR: 0.78; 95% CI: 0.68-0.88). Analgesics in liquid form such as metamizole and tramadol were more often used in dementia.

Conclusions

Our findings show a comparable documentation of diagnoses indicating pain in persons with incident dementia compared to those without. However, there still seems to be an undertreatment of pain in patients with dementia. Irrespective of dementia, analgesics seem to be more often prescribed to sicker patients and to control pain in the context of mobility.

[Prevalence and temporal trend of known diabetes mellitus: results of the German Health Interview and Examination Survey for Adults (DEGS1)]

The first wave of the "German Health Interview and Examination Survey for Adults" (DEGS1, 2008-2011) allows for up-to-date, representative prevalence estimates of known diabetes amongst the 18- to 79-year-old resident population of Germany. Temporal trends can be shown by comparing the survey findings with those of the "German National Health Interview and Examination Survey 1998" (GNHIES98). The definition of known diabetes was based on self-reports in physician-administered interviews that asked respondents if they had ever been diagnosed with diabetes by a doctor or were on anti-diabetic medication. Overall, diabetes had been diagnosed in 7.2 % of the adults (7.4 % of the women; 7.0 % of the men). The prevalence increased substantially with advancing age and was higher in persons of low than of high socioeconomic status. Prevalence varied depending on the type of health insurance held and was highest amongst those insured with AOK health insurance funds. In comparison with GNHIES98, there was a 38 % increase in prevalence, of which approximately one third is to be attributed to demographic ageing. In the context of other nationwide studies, the results indicate a figure of at least 4.6 million 18- to 79-year-olds having been diagnosed with diabetes at some point. Planned analyses of undiagnosed diabetes will contribute to the interpretation of the observed increase in the prevalence of known diabetes. An English full-text version of this article is available at SpringerLink as supplemental.

Impact of diabetes on costs before and after major lower extremity amputations in Germany

AIMS

To compare direct medical costs 1 year before up to 3 years after first major lower extremity amputation (LEA) between patients with and without diabetes.

METHODS

We used health insurance claims data and included patients with a first major LEA between 2005 and 2009. Costs for hospitalization, rehabilitation, outpatient care, outpatient drug prescriptions, non-physician services, durable medical equipment and long-term care were assessed. We estimated cost ratios (CR) for diabetes status using generalized linear models adjusted for age, sex, amputation level, care dependency as well as observation time and mortality within the corresponding period and costs before LEA.

RESULTS

We included 444 patients with first major LEA (58.3% had diabetes), 71.8% were male and the average age was 69.1 years. Total mean costs for 1 year before LEA were higher in patients with diabetes (24,504 vs. 18,961 Euros), which was also confirmed by the multivariate analysis (CR: 1.27; 95% CI: 1.06-1.52). Costs up to 24 weeks after LEA were virtually the same in both groups (36,686 vs. 35,858 Euros), but thereafter differences increase again with higher costs for diabetics. Costs for 3 years after LEA were 115,676 vs. 92,862 Euros, respectively (CR: 1.26; 95% CI: 1.12-1.42). Hospitalizations accounted for more than 50% of total costs irrespective of diabetes status and period.

CONCLUSIONS

Costs up to 24 weeks after first major LEA are mainly driven by the amputation itself irrespective of diabetes. Thereafter, costs for diabetic patients were higher again, which underlines the importance of studying long-term costs.

Prevalence and comorbidity of diabetes mellitus among non-institutionalized older adults in Germany - results of the national telephone health interview survey 'German Health Update (GEDA)' 2009

Background

Despite the major public health impact of diabetes, recent population-based data regarding its prevalence and comorbidity are sparse.

Methods

The prevalence and comorbidity of diabetes mellitus were analyzed in a nationally representative sample (N = 9133) of the non-institutionalized German adult population aged 50 years and older. Information on physician-diagnosed diabetes and 20 other chronic health conditions was collected as part of the national telephone health interview survey ‘German Health Update (GEDA)’ 2009. Overall, 51.2% of contacted persons participated. Among persons with diabetes, diabetes severity was defined according to the type and number of diabetes-concordant conditions: no diabetes-concordant condition (grade 1); hypertension and/or hyperlipidemia only (grade 2); one comorbidity likely to represent diabetes-related micro- or macrovascular end-organ damage (grade 3); several such comorbidities (grade 4). Determinants of diabetes severity were analyzed by multivariable ordinal regression.

Results

The 12-month prevalence of diabetes was 13.6% with no significant difference between men and women. Persons with diabetes had a significantly higher prevalence and average number of diabetes-concordant as well as diabetes-discordant comorbidities than persons without diabetes. Among persons with diabetes, 10.2%, 46.8%, 35.6% and 7.4% were classified as having severity grade 1–4, respectively. Determinants of diabetes severity included age (cumulative odds ratio 1.05, 95% confidence interval 1.03-1.07, per year) and number of discordant comorbidities (1.40, 1.25-1.55). With respect to specific discordant comorbidities, diabetes severity was correlated to depression (2.15, 1.29-3.56), respiratory disease (2.75, 1.72-4.41), musculoskeletal disease (1.53, 1.06-2.21), and severe hearing impairment (3.00, 1.21-7.41).

Conclusions

Diabetes is highly prevalent in the non-institutionalized German adult population 50 years and older. Diabetes comorbidities including diabetes-concordant and diabetes-discordant conditions need to be considered in epidemiological studies, in order to monitor disease burden and quality of diabetes care. Definitional standards of diabetes severity need to be refined and consented.

Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population

BACKGROUND

The validity of survey-based health care utilization estimates in the older population has been poorly researched. Owing to data protection legislation and a great number of different health care insurance providers, the assessment of recall and non-response bias is challenging to impossible in many countries. The objective of our study was to compare estimates from a population-based study in older German adults with external secondary data.

METHODS

We used data from the German KORA-Age study, which included 4,127 people aged 65-94 years. Self-report questions covered the utilization of long-term care services, inpatient services, outpatient services, and pharmaceuticals. We calculated age- and sex-standardized mean utilization rates in each domain and compared them with the corresponding estimates derived from official statistics and independent statutory health insurance data.

RESULTS

The KORA-Age study underestimated the use of long-term care services (-52%), in-hospital days (-21%) and physician visits (-70%). In contrast, the assessment of drug consumption by postal self-report questionnaires yielded similar estimates to the analysis of insurance claims data (-9%).

CONCLUSION

Survey estimates based on self-report tend to underestimate true health care utilization in the older population. Direct validation studies are needed to disentangle the impact of recall and non-response bias.

Variation in antibiotic prescriptions: is area deprivation an explanation? Analysis of 1.2 million children in Germany

PURPOSE

Inadequate use of antibiotics can lead to problems such as resistance. Overuse is especially a problem for children, since they are more affected by acute (often virus-caused) infections. While the problem has been addressed internationally over the past several years, regional variations in prescriptions are striking. Therefore, the present study aims to analyze regional variations in antibiotic prescription on a district level in Germany and tries to identify reasons for those variations through adding possible influencing factors to the analysis on individual and district levels.

METHODS

We analyzed 1.2 million children insured in a German health insurance fund. Antibiotic prescriptions were quantified in 2010 and reasons for prescriptions were analyzed in multilevel regressions based on the district of residence, regional deprivation, and age and sex of the child.

RESULTS

Thirty-six percent of all children aged 0-17 years received an antibiotic prescription in 2010. In the south, prevalences are generally lower, and also to the very north. The highest prevalences are found in the close-to-border districts in the west, as well as in a band throughout the middle of Germany, in rather low population density areas. Regional variation in the prevalence range from 19 to 53 % between districts. Regional deprivation can explain part of this variation.

CONCLUSIONS

Including area deprivation measures helped identify an influence of especially regional income and occupational deprivation on antibiotic prescriptions for children. Regional analysis such as this can help identify specific regions and groups of persons to address information programs on the risks of preventable antibiotic consumption and alternative treatment methods.