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.

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.

[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.

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.

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.

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.

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.

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.

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.

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.

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]. / 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.

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.

Assessment of patient-reported outcomes after polytrauma: protocol for a systematic review.

INTRODUCTION: Survivors of polytrauma experience long-term and short-term burden that influences their lives. The patients' view of relevant short-term and long-term outcomes should be captured in instruments that measure quality of life and other patient-reported outcomes (PROs) after a polytrauma. The aim of this systematic review is to (1) collect instruments that assess PROs (quality of life, social participation and activities of daily living) during follow-up after polytrauma, (2) describe the instruments' application (eg, duration of period of follow-up) and (3) investigate other relevant PROs that are also assessed in the included studies (pain, depression, anxiety and cognitive function). METHODS AND ANALYSIS: The systematic review protocol is developed in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols statement. MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, Cochrane Central Register of Controlled Trials and the trials registers ClinicalTrials.gov and WHO International Clinical Trials Registry Platform will be searched. Keywords, for example, 'polytrauma', 'multiple trauma', 'quality of life', 'activities of daily living' or 'pain' will be used. Publications published between January 2005 and the most recent date (currently: August 2016) will be included. In order to present the latest possible results, an update of the search is conducted before publication. The data extraction and a content analysis will be carried out systematically. A critical appraisal will be performed. ETHICS AND DISSEMINATION: Formal ethical approval is not required as primary data will not be collected. The results will be published in a peer-reviewed publication. PROSPERO REGISTRATION NUMBER: CRD42017060825.

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.

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).

Agreement found between self-reported and health insurance data on physician visits comparing different recall lengths.

OBJECTIVE: To analyze the impact of different recall lengths on agreement between self-reported physician visits and those documented in health insurance data applying an experimental design. STUDY DESIGN AND SETTING: We randomly assigned 432 patients with diabetes to one of two versions of a written survey, each asking about the number of physician visits over a 3- or 6-month recall period. Health insurance data were linked individually. RESULTS: In both groups, the mean number of self-reported physician visits per month was lower than in the insurance data, with a larger difference in the 6-month group (-0.9; 95% CI -1.0, -0.7) than in the 3-month group (-0.5; -0.7; -0.2), difference between the two groups: 0.4 (0.1-0.7; P = 0.009). The percentage of participants with correct reporting was small and did not differ largely between the two groups (6.5% and 9.3%). However, there was more overreporting in the 3-month group (25.6% vs. 11.1%). CONCLUSIONS: Shorter recall periods may produce more accurate results when estimating the mean number of physician visits. However, this may be driven not by a more accurate reporting, but by a higher proportion of respondents that overreported and a lower proportion of respondents that underreported, when compared to the longer reporting period.

Association of long-term exposure to local industry- and traffic-specific particulate matter with arterial blood pressure and incident hypertension.

BACKGROUND: Long-term exposure to fine particulate matter (PM2.5) may lead to increased blood pressure (BP). The role of industry- and traffic-specific PM2.5 remains unclear. OBJECTIVE: We investigated the associations of residential long-term source-specific PM2.5 exposure with arterial BP and incident hypertension in the population-based Heinz Nixdorf Recall cohort study. METHODS: We defined hypertension as systolic BP≥140mmHg, or diastolic BP≥90mmHg, or current use of BP lowering medication. Long-term concentrations of PM2.5 from all local sources (PM2.5ALL), local industry (PM2.5IND) and traffic (PM2.5TRA) were modeled with a dispersion and chemistry transport model (EURAD-CTM) with a 1km(2) resolution. We performed a cross-sectional analysis with BP and prevalent hypertension at baseline, using linear and logistic regression, respectively, and a longitudinal analysis with incident hypertension at 5-year follow-up, using Poisson regression with robust variance estimation. We adjusted for age, sex, body mass index, lifestyle, education, and major road proximity. Change in BP (mmHg), odds ratio (OR) and relative risk (RR) for hypertension were calculated per 1µg/m(3) of exposure concentration. RESULTS: PM2.5ALL was highly correlated with PM2.5IND (Spearman's ρ=0.92) and moderately with PM2.5TRA (ρ=0.42). In adjusted cross-sectional analysis with 4539 participants, we found positive associations of PM2.5ALL with systolic (0.42 [95%-CI: 0.03, 0.80]) and diastolic (0.25 [0.04, 0.46]) BP. Higher, but less precise estimates were found for PM2.5IND (systolic: 0.55 [-0.05, 1.14]; diastolic: 0.35 [0.03, 0.67]) and PM2.5TRA (systolic: 0.88 [-1.55, 3.31]; diastolic: 0.41 [-0.91, 1.73]). We found crude positive association of PM2.5TRA with prevalence (OR 1.41 [1.10, 1.80]) and incidence of hypertension (RR 1.38 [1.03, 1.85]), attenuating after adjustment (OR 1.19 [0.90, 1.58] and RR 1.28 [0.94, 1.72]). We found no association of PM2.5ALL and PM2.5IND with hypertension. CONCLUSIONS: Long-term exposures to all-source and industry-specific PM2.5 were positively related to BP. We could not separate the effects of industry-specific PM2.5 from all-source PM2.5. Estimates with traffic-specific PM2.5 were generally higher but inconclusive.

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.