Epidemiology of distal radius fractures in Germany - incidence rates and trends based on inpatient and outpatient data.

We examined incidence rates (IR) for all distal radius fracture (DRF) events based on inpatient and outpatient data from a large statutory health insurance in Germany. Of all DRF, 56% were treated as inpatients, and thus, 44% treated as outpatients. IR were higher in women than in men. PURPOSE: Although a distal radius fracture (DRF) is one of the most common fractures in the elderly population, epidemiological data are limited. Many studies examine only hospitalized patients, do not analyze time trends, or include only small populations. In this retrospective population-based observational study, routine data on inpatient and outpatient care of persons aged ≥ 60 years insured by a large statutory health insurance in Germany were analyzed from 2014 to 2018. METHODS: DRF were identified by ICD-10 codes. All DRF events of an individual were considered with a corresponding individual washout period. Incidence rates (IR) and time trends were estimated assuming a Poisson distribution per 100,000 person-years, with 95% confidence intervals [95% CI] and age-sex standardization to the German population in 2018. Associations of calendar year, age, sex, and comorbidity with IR were examined using Poisson regression estimating incidence rate ratios (IRR) with CI. RESULTS: The study population consists of 974,332 insured individuals, with 16,557 experiencing one or more DRF events during the observation period. A total of 17,705 DRF events occurred, of which 9961 (56.3%) were hospitalized. Standardized IR were 439 [424-453] (inpatient: 240 [230-251], outpatient: 199 [189-209]) in 2014 and 438 [423-452] (inpatient: 238 [227-249], outpatient: 200 [190-210]) in 2018. Female sex, older age, and comorbidity were associated with higher IR and adjusted Poisson regression showed no significant time trend (IRR overall 0.994 [0.983-1.006]). CONCLUSION: A relevant proportion of DRF were treated in outpatient settings, so both inpatient and outpatient data are necessary for a valid estimate.

Decreasing rates of major lower-extremity amputation in people with diabetes but not in those without: a nationwide study in Belgium.

AIMS/HYPOTHESIS: The reduction of major lower-extremity amputations (LEAs) is one of the main goals in diabetes care. Our aim was to estimate annual LEA rates in individuals with and without diabetes in Belgium, and corresponding time trends. METHODS: Data for 2009-2013 were provided by the Belgian national health insurance funds, covering more than 99% of the Belgian population (about 11 million people). We estimated the age-sex standardised annual amputation rate (first per year) in the populations with and without diabetes for major and minor LEAs, and the corresponding relative risks. To test for time trends, Poisson regression models were fitted. RESULTS: A total of 5438 individuals (52.1% with diabetes) underwent a major LEA, 2884 people with above- and 3070 with below-the-knee major amputations. A significant decline in the major amputation rate was observed in people with diabetes (2009: 42.3; 2013: 29.9 per 100,000 person-years, 8% annual reduction, p < 0.001), which was particularly evident for major amputations above the knee. The annual major amputation rate remained stable in individuals without diabetes (2009: 6.1 per 100,000 person-years; 2013: 6.0 per 100,000 person-years, p = 0.324) and thus the relative risk reduced from 6.9 to 5.0 (p < 0.001). A significant but weaker decrease was observed for minor amputation in individuals with and without diabetes (5% and 3% annual reduction, respectively, p < 0.001). CONCLUSIONS/INTERPRETATION: In this nationwide study, the risk of undergoing a major LEA in Belgium gradually declined for individuals with diabetes between 2009 and 2013. However, continued efforts should be made to further reduce the number of unnecessary amputations.

PHQ-9, CES-D, health insurance data-who is identified with depression? A Population-based study in persons with diabetes.

AIMS: Several instruments are used to identify depression among patients with diabetes and have been compared for their test criteria, but, not for the overlaps and differences, for example, in the sociodemographic and clinical characteristics of the individuals identified with different instruments. METHODS: We conducted a cross-sectional survey among a random sample of a statutory health insurance (SHI) (n = 1,579) with diabetes and linked it with longitudinal SHI data. Depression symptoms were identified using either the Centre for Epidemiological Studies Depression (CES-D) scale or the Patient Health Questionnaire-9 (PHQ-9), and a depressive disorder was identified with a diagnosis in SHI data, resulting in 8 possible groups. Groups were compared using a multinomial logistic model. RESULTS: In total 33·0% of our analysis sample were identified with depression by at least one method. 5·0% were identified with depression by all methods. Multinomial logistic analysis showed that identification through SHI data only compared to the group with no depression was associated with gender (women). Identification through at least SHI data was associated with taking antidepressants and previous depression. Health related quality of life, especially the mental summary score was associated with depression but not when identified through SHI data only. CONCLUSION: The methods overlapped less than expected. We did not find a clear pattern between methods used and characteristics of individuals identified. However, we found first indications that the choice of method is related to specific underlying characteristics in the identified population. These findings need to be confirmed by further studies with larger study samples.

Using statutory health insurance data to evaluate non-response in a cross-sectional study on depression among patients with diabetes in Germany.

BACKGROUND: Low response rates do not indicate poor representativeness of study populations if non-response occurs completely at random. A non-response analysis can help to investigate whether non-response is a potential source for bias within a study. METHODS: A cross-sectional survey among a random sample of a health insurance population with diabetes (n = 3642, 58.9% male, mean age 65.7 years), assessing depression in diabetes, was conducted in 2013 in Germany. Health insurance data were available for responders and non-responders to assess non-response bias. The response rate was 51.1%. Odds ratios (ORs) for responses to the survey were calculated using logistic regression taking into consideration the depression diagnosis as well as age, sex, antihyperglycaemic medication, medication utilization, hospital admission and other comorbidities (from health insurance data). RESULTS: Responders and non-responders did not differ in the depression diagnosis [OR 0.99, confidence interval (CI) 0.82-1.2]. Regardless of age and sex, treatment with insulin only (OR 1.73, CI 1.36-2.21), treatment with oral antihyperglycaemic drugs (OAD) only (OR 1.77, CI 1.49-2.09), treatment with both insulin and OAD (OR 1.91, CI 1.51-2.43) and higher general medication utilization (1.29, 1.10-1.51) were associated with responding to the survey. CONCLUSION: We found differences in age, sex, diabetes treatment and medication utilization between responders and non-responders, which might bias the results. However, responders and non-responders did not differ in their depression status, which is the focus of the DiaDec study. Our analysis may serve as an example for conducting non-response analyses using health insurance data.

Healthcare provision, functional ability and quality of life after proximal femoral fracture - 'ProFem': Study protocol of a population-based, prospective study based on individually linked survey and statutory health insurance data.

INTRODUCTION: Proximal femoral fractures (PFF) are among the most frequent fractures in older people. However, the situation of people with a PFF after hospital discharge is poorly understood. Our aim is to (1) analyse healthcare provision, (2) examine clinical and patient-reported outcomes (PROs), (3) describe clinical and sociodemographic predictors of these and (4) develop an algorithm to identify subgroups with poor outcomes and a potential need for more intensive healthcare. METHODS AND ANALYSIS: This is a population-based prospective study based on individually linked survey and statutory health insurance (SHI) data. All people aged minimum 60 years who have been continuously insured with the AOK Rheinland/Hamburg and experience a PFF within 1 year will be consecutively included (SHI data analysis). Additionally, 700 people selected randomly from the study population will be consecutively invited to participate in the survey. Questionnaire data will be collected in the participants' private surroundings at 3, 6 and 12 months after hospital discharge. If the insured person considers themselves to be only partially or not at all able to take part in the survey, a proxy person will be interviewed where possible. SHI variables include healthcare provision, healthcare costs and clinical outcomes. Questionnaire variables include information on PROs, lifestyle characteristics and socioeconomic status. We will use multiple regression models to estimate healthcare processes and outcomes including mortality and cost, investigate predictors, perform non-responder analysis and develop an algorithm to identify vulnerable subgroups. ETHICS AND DISSEMINATION: The study was approved by the ethics committee of the Faculty of Medicine, Heinrich-Heine-University Düsseldorf (approval reference 6128R). All participants including proxies providing written and informed consent can withdraw from the study at any time. The study findings will be disseminated through scientific journals and public information. TRIAL REGISTRATION NUMBER: DRKS00012554.

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.

Excess Mortality After Pelvic Fractures Among Older People.

The study aimed to estimate excess mortality in patients aged 60 years or older up to 1 year after pelvic fracture compared with a population without pelvic fracture. In this retrospective population-based observational study, we use routine data from a large health insurance in Germany. For each patient with a first pelvic fracture between 2008 and 2010 (n = 5685 cases, 82% female, mean age 80 ± 9 years), about 34 individuals without pelvic fracture (n = 193,159 controls) were frequency matched by sex, age at index date, and index month. We estimated survival probabilities in the first year after the index date separated for cases (further stratified into inpatient/outpatient treated or minor/major pelvic fractures) and controls using Kaplan-Meier curves. Additionally, time-dependent hazard ratios (HRs) measuring excess mortality in 4-week intervals up to 52 weeks were estimated by fitting Cox regression models including adjustment for relevant confounders. Twenty-one percent of cases and 11% of controls died within 1 year. HRs (95% confidence intervals) decreased from 3.9 (3.5-4.5) within the first 4 weeks to 1.4 (1.1-1.9) within weeks 49 to 52 after the index date. After full adjustment, HRs lowered substantially (3.0 [2.6-3.4] and 1.0 [0.8-1.4]) but were still significantly increased up to week 32. Adjusted HRs in women were lower than in men: 2.8 (2.4-3.2) and 1.0 (0.7-1.4) versus 3.8 (2.9-5.0) and 1.2 (0.6-2.3). We found a clear excess mortality among older people in the first 8 months after pelvic fracture even after full adjustment. Excess mortality was higher among men in the beginning as well as for inpatient-treated persons. Absence of excess mortality was noticed for outpatient-treated persons within the first 3 months. When broken down into site-specific data, excess mortality was no longer significant for most pelvic fractures classified as minor. The only exception was fracture of pubis within the first 4 weeks. © 2017 American Society for Bone and Mineral Research.

Epidemiology of Pelvic Fractures in Germany: Considerably High Incidence Rates among Older People.

Epidemiological data about pelvic fractures are limited. Until today, most studies only analyzed inpatient data. The purpose of this study was to estimate incidence rates of pelvic fractures in the German population aged 60 years or older, based on outpatient and inpatient data. We conducted a retrospective population-based observational study based on routine data from a large health insurance company in Germany. Age and sex-specific incidence rates of first fractures between 2008 and 2011 were calculated. We also standardized incidence rates with respect to age and sex in the German population. Multiple Poisson regression models were used to evaluate the association between the risk of first pelvic fracture as outcome and sex, age, calendar year and region as independent variables. The total number of patients with a first pelvic fracture corresponded to 8,041 and during the study period 5,978 insured persons needed inpatient treatment. Overall, the standardized incidence rate of all first pelvic fractures was 22.4 [95% CI 22.0-22.9] per 10,000 person-years, and the standardized incidence rate of inpatient treated fractures 16.5 [16.1-16.9]. Our adjusted regression analysis confirmed a significant sex (RR 2.38 [2.23-2.55], p < 0.001, men as reference) and age effect (higher risk with increasing age, p < 0.001) on first fracture risk. We found a slight association between calendar year (higher risk in later years compared to 2008, p = 0.0162) and first fracture risk and a further significant association with region (RR 0.92 [0.87-0.98], p = 0.006, Westfalen-Lippe as reference). The observed incidences are considerably higher than incidences described in the international literature, even if only inpatient treated pelvic fractures are regarded. Besides which, non-inclusion of outpatient data means that a relevant proportion of pelvic fractures are not taken into account. Prevention of low energy trauma among older people remains an important issue.

Incidence of hip fractures in Germany, 1995-2010.

UNLABELLED: We analyzed hip fracture incidence trends in Germany in 1995-2010, using national hospital discharge register. Overall, after age-sex-region adjustment, there was no significant trend. However, stratified analyses showed a significant decrease in younger people. In the elderly, there was a moderate increase in men and decrease in women. Incidences were still higher in Western Germany (each significant). BACKGROUND: Whereas most studies from US and European countries found trends of a decreasing hip fracture incidence in the last years, in Germany, an increase has been still observed up to 2003. METHODS: Analysis of annual hip fracture incidences in Germany was carried out using the national hospital discharge register and a correction factor of 0.89. Estimate of age-sex-adjusted changes was determined using the Poisson regression (incidence rate ratios, IRR; with 95 % confidence intervals, CI), overall and in age-sex-region strata. RESULTS: The number of patients with at least one hospital admission for hip fracture increased (1995: n = 99,146; 2010: n = 128,240). Overall, after adjustment for age, sex, and region, there was no significant trend during the observation period. However, in stratified analyses, a significant decrease was seen in people aged less than 40 years in both sexes and regions. Also, in women aged 60 years or older, the incidence decreased (Western Germany p = 0.001) or remained (Eastern Germany p = 0.053) (IRR 1995-2010, 95 % CI: 0.95, 0.92-0.98; and 1.05, 0.999-1.11). In contrast, the incidence in men 40-59 and 60 years older increased in both regions (West: 1.03, 0.97-1.09; and 1.11, 1.07-1.14; East: 1.12, 1.01-1.25; and 1.29, 1.22-1.36). While incidences were still significantly higher in Western Germany overall and in most strata, they tended to converge. CONCLUSIONS: In line with most European countries, the overall hip fracture incidence in Germany no longer increases. However, differences between age, sex, and region exist.