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.

Pain Medication and Pain Intensity Following Hip Fractures-Analyses Based on the ProFem Cohort Study.

PURPOSE: Pain is a common symptom following proximal femoral fractures (PFF), however, information on its treatment in terms of agents and type of use (scheduled vs. pro re nata [PRN]) is scarce. The main objective of this study was to examine pain medication regimens according to pain intensity following PFF. Furthermore, we explored the utilization of medication plans. METHODS: The "ProFem"-study on healthcare provision, functional ability, and quality of life after PFF is a German population-based prospective cohort study based on statutory health insurance data and individually linked survey data from different time points including information on the currently used medication. This present analysis refers to the participants' baseline interviews (about 3 months following PFF) conducted from 2018 to 2019 in the participants' private surroundings. RESULTS: The study population comprised 444 participants (mean age: 81.2 years, 71.0% female). Half of them reported high intensity pain, and the mean value for the EuroQol visual analogue scale was 50.8. Most commonly used analgesics were metamizole and tilidine/naloxone. Among participants with high intensity pain, 21.9% received only PRN pain medication and 17.2% no pain medication at all. Overall, 61.5% of participants presented any (printed) medication plan and only 25.2% a "federal standardized medication plan" (BMP). CONCLUSION: As a substantial number of patients reports high intensity pain about 3 months following a PFF, the large proportion of those receiving no or only PRN pain medication raises questions regarding the appropriateness of the therapy. The overall low utilization of the BMP indicates potential for improvement.

Development of Fear of Falling after proximal femoral fracture.

Background: Proximal femoral fracture is common in older people. Beyond a long recovery process and significant permanent functional limitations, older people often experience subsequent Fear of Falling. The phenomenon of Fear of Falling is not fully understood; qualitative research is underrepresented but can provide insights into the experience of those affected. Objectives: We aimed to explore the experiences of Fear of Falling development and to what extent it affects peoples' life after proximal femoral fracture. Methods: We conducted semi-structured, in-depth interviews with nine older people, aged between 61 and 88, who participated in a prospective observational study. Interview data were analysed through inductive content analysis. Results: Six major themes emerged: The development of Fear of Falling; the effect of FoF and hope for recovery; alternating between moments of fear and security; fear of helplessness and of losing independence; strategies for dealing with Fear of Falling and maintaining independence; need of support by health care professionals. Conclusion: To identify and support older people in coping with Fear of Falling (after proximal femoral fracture), strategies for dealing with Fear of Falling across occupational groups and all healthcare settings should be implemented. Nurses have a key role in this process.

[Research Data Center on Health - Vision for Further Development from the Research Perspective]. / Forschungsdatenzentrum Gesundheit ­ Vision für eine Weiterentwicklung aus Sicht der Forschung.

The German research data center for health will provide claims data of statutory health insurances. The data center was set up at the medical regulatory body BfArM pursuant to the German data transparency regulation (DaTraV). The data provided by the center will cover about 90% of the German population, supporting research on healthcare issues, including questions of care supply, demand and the (mis-)match of both. These data support the development of recommendations for evidence-based healthcare. The legal framework for the center (including §§ 303a-f of Book V of the Social Security Code and two subsequent ordinances) leaves a considerable degree of freedom when it comes to organisational and procedural aspects of the center's operation. The present paper addresses these degrees of freedom. From the point of view of researchers, ten statements show the potential of the data center and provide ideas for its further and sustainable development.

New prescription of antihyperglycemic agents among patients with diabetes in Germany: Moderate concordance between health insurance data and self-reports.

PURPOSE: To analyze the concordance of new prescription of antihyperglycemic agents between two data sources: patients' self-reports and statutory health insurance (SHI) data among patients with diabetes. METHODS: Within a cross-sectional study, 494 patients with diabetes were interviewed if and which new prescriptions of diabetes medication they received within the last 3 or 6 months. SHI data for 12 months were linked to cover these periods. For the agreement measurement, SHI data was set as reference, and kappa, positive predictive value (PPV), and sensitivity were calculated for single Anatomical Therapeutic Chemical (ATC) codes and cumulated code groups. RESULTS: The number of new prescriptions within 3 or 6 months was low, with 5.5% (n = 27) for Metformin/self-report being the highest. Contingency tables were unbalanced and showed large numbers in the no/no-cells. Regarding non-agreement, we found new prescriptions slightly more often in SHI data only than in self-reports only, with insulin and metformin representing an exception. Agreement results were moderate with large confidence intervals (CI). The values for cumulated "all drugs in diabetes" were: kappa = 0.58 (95% CI: 0.51-0.65), PPV = 62.0 (53.4-70.2), sensitivity = 55.6 (47.3-63.6). CONCLUSIONS: Patients reported a low number of new prescriptions within the last 3 or 6 months. In general we found moderate agreement and in case of non-agreement that self-report no/SHI yes was slightly more frequent than vice versa. These results were based on small case numbers, but could nevertheless be considered when collecting self-reported information on the prescription of antihyperglycemic agents.

Self-reported medication intake vs information from other data sources such as pharmacy records or medical records: Identification and description of existing publications, and comparison of agreement results for publications focusing on patients with cancer - a systematic review.

PURPOSE: To identify and describe publications addressing the agreement between self-reported medication and other data sources among adults and, in a subgroup of studies dealing with cancer patients, seek to identify parameters which are associated with agreement. METHODS: A systematic review including a systematic search within five biomedical databases up to February 28, 2019 was conducted as per the PRISMA Statement. Studies and agreement results were described. For a subgroup of studies dealing with cancer, we searched for associations between agreement and patients' characteristics, study design, comparison data source, and self-report modality. RESULTS: The literature search retrieved 3392 publications. Included articles (n = 120) show heterogeneous agreement. Eighteen publications focused on cancer populations, with relatively good agreement identified in those which analyzed hormone therapy, estrogen, and chemotherapy (n = 11). Agreement was especially good for chemotherapy (proportion correct ≥93.6%, kappa ≥0.88). No distinct associations between agreement and age, education or marital status were identified in the results. There was little evaluation of associations between agreement and study design, self-report modality and comparison data source, thus not allowing for any conclusions to be drawn. CONCLUSION: An overview of the evidence available from validation studies with a description of several characteristics is provided. Studies with experimental design which evaluate factors that might affect agreement between self-report and other data sources are lacking.

Thoughts about health and patient-reported outcomes among people with diabetes mellitus: results from the DiaDec-study.

BACKGROUND: There is considerable evidence that repetitive negative thoughts are often associated with adverse health outcomes. The study aims are (i) to identify the frequency and valence of thoughts about health in people with diabetes mellitus using questions based on the day reconstruction method (DRM) and (ii) to analyse associations between thoughts about health and health-related quality of life (HRQoL), diabetes-related distress and depressive symptoms. METHODS: Cross-sectional study of a random sample of a German statutory health insurance population with diabetes aged between 18 and 80 linking questionnaire and claims data. Associations between frequency and valence of thoughts about health on a previous day and HRQoL assessed by a 12-Item Short-Form Health Survey, diabetes-related distress assessed using the Problem Areas in Diabetes scale and depressive symptoms assessed by Patient Health Questionnaire-9 were analysed using linear and logistic regression analysis, adjusting for sociodemographic and clinical characteristics. RESULTS: Thoughts about health were analysed in 726 participants (86% type 2 diabetes, 62% male, mean age 67.6 ± 9.7 years). A total of 46% had not thought about their health the day before, 17.1% reported low frequency and negative thoughts, 21.4% low frequency and positive thoughts, 12.1% high frequency and negative thoughts and 3.4% high frequency and positive thoughts. The presence of thoughts about health irrespective of their frequency and valence is associated with a lower physical and mental component summary score of the 12-Item Short-Form Health Survey. Negative thoughts are associated with high diabetes-related distress. Frequent or negative thoughts are associated with depressive symptoms. CONCLUSIONS: Thoughts about health are a part of everyday life for a substantial number of people with diabetes. Surprisingly, even positive thoughts are associated with poorer HRQoL in our study. Further research within the DRM paradigm is needed to understand how thoughts about health may affect people's (assessment of) state of health. Thoughts about health should be considered in diabetes education and patient counselling with a view to preventing and treating emotional disorders. More attention should be paid to the outcomes of interventions that may themselves lead to an increase in the frequency of thoughts about health.

[Good Practice Data Linkage]. / Gute Praxis Datenlinkage (GPD).

Individual data linkage of different data sources for research purposes is being increasingly used in Germany in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to define such methodological standards for research projects. Another aim is to provide readers with a checklist for critical appraisal of research proposals and articles. Since 2016, an expert panel of members of different German scientific societies have worked together and developed 7 guidelines with a total of 27 practical recommendations. These recommendations include (1) research aims, questions, data sources and resources, (2) infrastructure and data flow, (3) data privacy, (4) ethics, (5) key variables and type of linkage, (6) data validation/quality assurance and (7) long-term use for future research questions. The authors provide a rationale for each recommendation. Future revisions will include any new developments in science and data privacy.

Drug-based pain management for people with dementia after hip or pelvic fractures: a systematic review.

BACKGROUND: Studies indicate that people with dementia do not receive the same amount of analgesia after a hip or pelvic fracture compared to those without cognitive impairment. However, there is no systematic review that shows to what extent drug-based pain management is performed for people with dementia following a hip or pelvic fracture. The aim of this systematic review was to identify and analyse studies that investigate drug-based pain management for people with dementia with a hip or pelvic fracture in all settings. Treatment could be surgical or conservative. We also analysed study designs, methods and variables, as well as which assessments were applied to measure pain management and mental status. METHOD/DESIGN: The development of this systematic review protocol was guided by the PRISMA-P requirements, which were taken into consideration during the review procedures. MEDLINE, EMBASE, CINAHL, Web of Knowledge and ScienceDirect were searched. Studies published up to January 2016 were included. The data extraction, content and quantitative descriptive analysis were carried out systematically, followed by a critical appraisal. RESULTS: Eight of the 13 included studies focusing on patient data showed that people with dementia received less drug-based pain management than people without cognitive impairment. Four studies based on surveys of healthcare professionals stated that cognitive impairment is a major barrier for effective pain management. There was heterogeneity regarding the assessment of the mental status and the pain assessment of the patients. The assessment of the drugs administered in all of the studies working with patient data was achieved through chart reviews. CONCLUSION: People with dementia do not seem to receive the same amount of opioid analgesics after hip fracture as people without cognitive impairment. There is need to enhance pain assessment and management for these patients. Future research should pay more attention to the use of the appropriate items for assessing cognitive impairment and pain in people with dementia. TRIAL REGISTRATION: This systematic review was registered at Prospero ( CRD42016037309 ); on 11 April 2016, and the systematic review protocol was published (Syst Rev. 5(1):1, 2016).

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.

Screening results for subclinical coronary artery calcification in asymptomatic individuals in relation to a detailed parental history of premature coronary heart disease.

A parental history of premature coronary heart disease (CHD) is an established risk factor for CHD events in descendants. The study aim was to investigate whether subclinical coronary artery calcification (CAC) differs between asymptomatic individuals (a) without a parental CHD history, (b) with a parental history and (c) without knowledge of parental CHD history. The inclusion of individuals without knowledge of parental CHD history is a new approach. We also differentiated between CHD of mother and father to gain insight into their individual contributions. Data was obtained for 4,301 subjects aged 45-75 years free of overt CHD from the baseline screening of the population-based Heinz Nixdorf Recall study. CAC, measured by electron-beam computed tomography, was modeled conducting logistic regressions. Model 1 included family history, Model 2 was adjusted for age (and gender) and Model 3 added common CHD risk factors. The CAC score was dichotomized using the age and sex-specific 75th percentile. The odds ratio (OR) for CAC ≥ age and sex-specific 75th percentile was 1.33 among individuals with parental premature CHD history (95 % confidence interval [95 %CI]: 1.08, 1.63), which did not change after full adjustment (OR 1.40, 95 %CI: 1.13, 1.74). Individuals with an unknown biological father or mother had a high chance of elevated CAC scores (fully adjusted; father: OR 1.38, 95 %CI: 1.01, 1.90, mother: OR 1.86, 95 %CI: 0.90, 3.84) compared to the reference group. The current study showed an association between parental CHD history and CAC independent of common CHD risk factors. This association affirms the use of parental CHD history in cardiovascular risk assessment among asymptomatic adults in routine practice. The observation that individuals who did not know their mother or father are prone to increased CAC scores needs further confirmation in large scale studies.

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.

Blood pressure and lipid management fall far short in persons with type 2 diabetes: results from the DIAB-CORE Consortium including six German population-based studies.

BACKGROUND: Although most deaths among patients with type 2 diabetes (T2D) are attributable to cardiovascular disease, modifiable cardiovascular risk factors appear to be inadequately treated in medical practice. The aim of this study was to describe hypertension, dyslipidemia and medical treatment of these conditions in a large population-based sample. METHODS: The present analysis was based on the DIAB-CORE project, in which data from five regional population-based studies and one nationwide German study were pooled. All studies were conducted between 1997 and 2006. We assessed the frequencies of risk factors and co-morbidities, especially hypertension and dyslipidemia, in participants with and without T2D. The odds of no or insufficient treatment and the odds of pharmacotherapy were computed using multivariable logistic regression models. Types of medication regimens were described. RESULTS: The pooled data set comprised individual data of 15, 071 participants aged 45-74 years, including 1287 (8.5%) participants with T2D. Subjects with T2D were significantly more likely to have untreated or insufficiently treated hypertension, i.e. blood pressure of > = 140/90 mmHg (OR = 1.43, 95% CI 1.26-1.61) and dyslipidemia i.e. a total cholesterol/HDL-cholesterol ratio > = 5 (OR = 1.80, 95% CI 1.59-2.04) than participants without T2D. Untreated or insufficiently treated blood pressure was observed in 48.9% of participants without T2D and in 63.6% of participants with T2D. In this latter group, 28.0% did not receive anti-hypertensive medication and 72.0% were insufficiently treated. In non-T2D participants, 28.8% had untreated or insufficiently treated dyslipidemia. Of all participants with T2D 42.5% had currently elevated lipids, 80.3% of these were untreated and 19.7% were insufficiently treated. CONCLUSIONS: Blood pressure and lipid management fall short especially in persons with T2D across Germany. The importance of sufficient risk factor control besides blood glucose monitoring in diabetes care needs to be emphasized in order to prevent cardiovascular sequelae and premature death.

Personal attributes that influence the adequate management of hypertension and dyslipidemia in patients with type 2 diabetes. Results from the DIAB-CORE Cooperation.

BACKGROUND: Hypertension and dyslipidemia are often insufficiently controlled in persons with type 2 diabetes (T2D) in Germany. In the current study we evaluated individual characteristics that are assumed to influence the adequate treatment and control of hypertension and dyslipidemia and aimed to identify the patient group with the most urgent need for improved health care. METHODS: The analysis was based on the DIAB-CORE project in which cross-sectional data from five regional population-based studies and one nationwide German study, conducted between 1997 and 2006, were pooled. We compared the frequencies of socio-economic and lifestyle factors along with comorbidities in hypertensive participants with or without the blood pressure target of<140/90 mmHg. Similar studies were also performed in participants with dyslipidemia with and without the target of total cholesterol/HDL cholesterol ratio<5. Furthermore, we compared participants who received antihypertensive/lipid lowering treatment with those who were untreated. Univariable and multivariable logistic regression models were used to assess the odds of potentially influential factors. RESULTS: We included 1287 participants with T2D of whom n=1048 had hypertension and n=636 had dyslipidemia. Uncontrolled blood pressure was associated with male sex, low body mass index (BMI), no history of myocardial infarction (MI) and study site. Uncontrolled blood lipid levels were associated with male sex, no history of MI and study site. The odds of receiving no pharmacotherapy for hypertension were significantly greater in men, younger participants, those with BMI<30 kg/m(2) and those without previous MI or stroke. Participants with dyslipidemia received lipid lowering medication less frequently if they were male and had not previously had an MI. The more recent studies HNR and CARLA had the greatest numbers of well controlled and treated participants. CONCLUSION: In the DIAB-CORE study, the patient group with the greatest odds of uncontrolled co-morbidities and no pharmacotherapy was more likely comprised of younger men with low BMI and no history of cardiovascular disease.

High Depressive Symptoms in Previously Undetected Diabetes - 10-Year Follow-Up Results of the Heinz Nixdorf Recall Study.

AIM: To determine the 10-year cumulative incidence of high depressive symptoms in people with diagnosed and, in particular, previously undetected diabetes compared to those without diabetes in a population-based cohort study in Germany. MATERIALS AND METHODS: We included 2813 participants (52.9% men, mean age (SD) 58.9 (7.7) years, 7.1% diagnosed diabetes, 5.6% previously undetected diabetes) from the Heinz Nixdorf Recall study. We calculated the odds ratios (OR) with 95% confidence intervals (CI) using multiple logistic regression analyses for diagnosed and undetected diabetes. RESULTS: Cumulative 10-year incidences (95%-CI) of high depressive symptoms in participants with diagnosed diabetes, previously undetected diabetes, and without diabetes were 15.4% (10.7-21.2), 10.1% (5.9-15.9), and 12.4% (11.1-13.8), respectively. Age-sex-adjusted ORs were 1.51 (1.01-2.28) in participants with diagnosed diabetes compared to those without, 1.40 (0.92-2.12) after adjustment for BMI, physical activity, education, and smoking, and 1.33 (0.87-2.02) after further adjustment for stroke and myocardial infarction. ORs in participants with previously undetected diabetes were 0.96 (0.56-1.65), 0.85 (0.49-1.47), and 0.85 (0.49-1.48), respectively, and lower in men than in women. CONCLUSION: As expected, we found an increased odds of developing high depressive symptoms in participants with diagnosed diabetes. However, the odds ratios decreased when we considered comorbidities and other covariates. Interestingly, in participants with previously undetected diabetes, the odds was not increased, even 10 years after detection of diabetes. These results support the hypothesis that high depressive symptoms develop due to diabetes-related burdens and comorbidities and not due to hyperglycemia or hyperinsulinemia.

Assessment of patient-reported outcomes after polytrauma - instruments and methods: a systematic review.

OBJECTIVES: We (1) collected instruments that assess health-related quality of life (HRQoL), activities of daily living (ADL) and social participation during follow-up after polytrauma, (2) described their use and (3) investigated other relevant patient-reported outcomes (PROs) assessed in the studies. DESIGN: Systematic Review using the Preferred Reporting Items for Systematic Review and Meta-Analysis guideline. DATA SOURCES: MEDLINE, Embase, CINAHL, PsycINFO, CENTRAL, as well as the trials registers ClinicalTrials.gov and WHO ICTRP were searched from January 2005 to April 2018. ELIGIBILITY CRITERIA: All original empirical research published in English or German including PROs of patients aged 18-75 years with an Injury Severity Score≥16 and/or an Abbreviated Injury Scale≥3. Studies with defined injuries or diseases (e.g. low-energy injuries) and some text types (e.g. grey literature and books) were excluded. Systematic reviews and meta-analyses were excluded, but references screened for appropriate studies. DATA EXTRACTION AND SYNTHESIS: Data extraction, narrative content analysis and a critical appraisal (e.g. UK National Institute for Health and Care Excellence) were performed by two reviewers independently. RESULTS: The search yielded 3496 hits; 54 publications were included. Predominantly, HRQoL was assessed, with Short Form-36 Health Survey applied most frequently. ADL and (social) participation were rarely assessed. The methods most used were postal surveys and single assessments of PROs, with a follow-up period of one to one and a half years. Other relevant PRO areas reported were function, mental disorders and pain. CONCLUSIONS: There is a large variation in the assessment of PROs after polytrauma, impairing comparability of outcomes. First efforts to standardise the collection of PROs have been initiated, but require further harmonisation between central players. Additional knowledge on rarely reported PRO areas (e.g. (social) participation, social networks) may lead to their consideration in health services provision. PROSPERO REGISTRATION NUMBER: CRD42017060825.

Health Care Use and Costs in Individuals With Diabetes With and Without Comorbid Depression in Germany: Results of the Cross-sectional DiaDec Study.

OBJECTIVE: Increased health care use and costs have been reported in individuals with diabetes with comorbid depression. Knowledge regarding cost differences between individuals with diabetes alone and those with diabetes and diagnosed/undiagnosed depression is, however, scarce. We therefore compared use and costs for patients with diabetes and no depression and patients with diabetes and documented depression diagnosis or self-reported depression symptoms for several cost components, including mental health care costs. RESEARCH DESIGN AND METHODS: Data from a 2013 cross-sectional survey of randomly sampled members of a nationwide German statutory health insurance (SHI) provider with diabetes (n = 1,634) were linked individually with SHI data covering four quarters before and after the survey. Self-reported depression symptoms were assessed with the Patient Health Questionnaire-9, with depression diagnosis taken from SHI data. We analyzed health care use and costs, using regression analysis to calculate cost ratios (CRs) with adjustment for sociodemographic/socioeconomic factors and comorbidities for two groups: 1) those with no symptoms and no diagnosis and 2) those with symptoms or diagnosis. In our explorative subanalysis we analyzed subgroups with either symptoms or diagnosis separately. RESULTS: Annual mean total health care costs were higher for patients with comorbid depression (EUR 5,629 [95% CI 4,987-6,407]) than without (EUR 3,252 [2,976-3,675], the CR being 1.25 [1.14-1.36]). Regression analysis showed that excess costs were highly associated with comorbidities. Mental health care costs were very low for patients without depression (psychotherapy EUR 2; antidepressants EUR 4) and still relatively low for those with depression (psychotherapy EUR 111; antidepressants EUR 76). CONCLUSIONS: Costs were significantly higher when comorbid depression was present either as symptoms or diagnosed. Excess costs for mental health services were rather low.

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.

Good Practice Data Linkage (GPD): A Translation of the German Version.

The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies. Another aim is to endow readers with a checklist for the critical appraisal of research proposals and articles. This Good Practice Data Linkage (GPD) was already published in German in 2019, but the aspects mentioned can easily be transferred to an international context, especially for other European Union (EU) member states. Therefore, it is now also published in English. Since 2016, an expert panel of members of different German scientific societies have worked together and developed seven guidelines with a total of 27 practical recommendations. These recommendations include (1) the research objectives, research questions, data sources, and resources; (2) the data infrastructure and data flow; (3) data protection; (4) ethics; (5) the key variables and linkage methods; (6) data validation/quality assurance; and (7) the long-term use of data for questions still to be determined. The authors provide a rationale for each recommendation. Future revisions will include new developments in science and updates of data privacy regulations.

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.