Publications by authors named "Gottfried Endel"

Undernutrition in early life associates with increased risk for type 2 diabetes in later life. Whether similar associations hold for other diseases remains unclear. We aim to quantify how perinatal exposure to famines relates to the risk of becoming incident with type 2 diabetes in later life.

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This study aims to quantify whether age and sex groups in Austrian regions are equally affected by the rise of type 2 diabetes. Population-wide medical claims data was obtained for citizens in Austria aged above 50 year, who received antihyperglycemic treatments or underwent HbA1c monitoring between 2012 and 2017. Diabetes incidence was measured using an epidemiological diabetes progression model accounting for patients who discontinued antihyperglycemic therapy; the erratic group.

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(1) Background: The Austrian supply of COVID-19 vaccine is limited for now. We aim to provide evidence-based guidance to the authorities in order to minimize COVID-19-related hospitalizations and deaths in Austria. (2) Methods: We used a dynamic agent-based population model to compare different vaccination strategies targeted to the elderly (65 ≥ years), middle aged (45-64 years), younger (15-44 years), vulnerable (risk of severe disease due to comorbidities), and healthcare workers (HCW).

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A general concern exists that cervical cancer screening using human papillomavirus (HPV) testing may lead to considerable overtreatment. We evaluated the trade-off between benefits and overtreatment among different screening strategies differing by primary tests (cytology, p16/Ki-67, HPV alone or in combinations), interval, age and diagnostic follow-up algorithms. A Markov state-transition model calibrated to the Austrian epidemiological context was used to predict cervical cancer cases, deaths, overtreatments and incremental harm-benefit ratios (IHBR) for each strategy.

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There are practically no quantitative tools for understanding how much stress a health care system can absorb before it loses its ability to provide care. We propose to measure the resilience of health care systems with respect to changes in the density of primary care providers. We develop a computational model on a 1-to-1 scale for a countrywide primary care sector based on patient-sharing networks.

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Background: Chronic obstructive pulmonary disease (COPD) causes significant morbidity and mortality worldwide. Estimation of incidence, prevalence and disease burden through routine insurance data is challenging because of under-diagnosis and under-treatment, particularly for early stage disease in health care systems where outpatient International Classification of Diseases (ICD) diagnoses are not collected. This poses the question of which criteria are commonly applied to identify COPD patients in claims datasets in the absence of ICD diagnoses, and which information can be used as a substitute.

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The aim of this project is to describe a causal (counterfactual) approach for analyzing when to start statin treatment to prevent cardiovascular disease using real-world evidence. We use directed acyclic graphs to operationalize and visualize the causal research question considering selection bias, potential time-independent and time-dependent confounding. We provide a study protocol following the 'target trial' approach and describe the data structure needed for the causal assessment.

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Background: Budget impact analyses (BIAs) describe changes in intervention- and disease-related costs of new technologies. Evidence on the quality of BIAs for cancer screening is lacking.

Objectives: We systematically reviewed the literature and methods to assess how closely BIA guidelines are followed when BIAs are performed for cancer-screening programs.

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Background: Health information exchange (HIE) among care providers who cooperate in the treatment of patients with diabetes mellitus (DM) has been rated as an important aspect of successful care. Patient-sharing relations among care providers permit inferences about corresponding information-sharing relations.

Objectives: This study aimed to obtain information for an effective HIE platform design to be used in DM care by analyzing patient-sharing relations among various types of care providers (ToCPs), such as hospitals, pharmacies, and different outpatient specialists, within a nationwide claims dataset of Austrian DM patients.

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Compositional data analysis refers to analyzing relative information, based on ratios between the variables in a data set. Data from epidemiology are usually treated as absolute information in an analysis. We outline the differences in both approaches for univariate and multivariate statistical analyses, using illustrative data sets from Austrian districts.

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Objective: To demonstrate that when investigating the relevance of continuity of care for patient outcomes, different definitions can lead to contradicting results.

Methods: We used claims data from the regional public health insurer of Lower Austria covering the period from 2008 to 2011. The study sample included subjects with repeated dispensings of anti-diabetic drugs.

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Background: Patient adherence is an important component of an efficient therapy. For diabetes patients it may contribute to controlled glucose values and reduction of adverse outcomes.

Objectives: We aim to examine a potential association of Lower Austrian diabetes patients' adherence concerning their disease monitoring and mortality.

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Purpose: Shared Electronic Health Record (EHR) systems, which provide a health information exchange (HIE) within a community of care, were found to be a key enabler of informational continuity of diabetes mellitus (DM) care. Quantitative analyses of the actual contribution of Shared EHR systems to informational continuity of care are rare. The goal of this study was to quantitatively analyze (i) the degree of fragmentation of DM care in Austria as an indicator for the need for HIE, and (ii) the quantity of information (i.

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Background: The Oncotyrol - Center for Personalized Cancer Medicine is an international and interdisciplinary alliance combining research and commercial competencies to accelerate the development, evaluation and translation of personalized healthcare strategies in cancer. The philosophy of Oncotyrol is to collaborate with relevant stakeholders and advance knowledge "from bench to bedside to population and back". Oncotyrol is funded through the COMET Excellence Program by the Austrian government via the national Austrian Research Promotion Agency (FFG).

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Objectives: To compare the diagnostic performance of magnetic resonance imaging (MRI) in terms of sensitivity and specificity using a field strength of <1.0 T (T) versus ≥1.5 T for diagnosing or ruling out knee injuries or knee pathologies.

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Background: A framework for collaborative production and sharing of HTA information, the HTA Core Model, was originally developed within EUnetHTA in 2006-08. In this paper, we describe the further development of the Model to allow implementation and utilization of the Model online. The aim was to capture a generic HTA process that would allow effective use of the HTA Core Model and resulting HTA information while at the same time not interfering with HTA agencies' internal processes.

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Based on a unique dataset comprising all 325,000 Austrian patients that were under pharmaceutical treatment for diabetes during 2006 and 2007, we measured the excess risk of developing diabetes triggered by undernourishment in early life. We studied the percentage of all diabetes patients in the total population specifically for each year of birth, from 1917 to 2007. We found a massive excess risk of diabetes in people born during the times of the three major famines and immediately after, which occurred in Austria in the 20th century: 1918-1919, 1938, and 1946-1947.

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Shared electronic health record (EHR) systems aim to support continuity of care within the joint treatment of a patient by a community of cooperating care providers. By analyzing the fragmentation of care of Austrian diabetes patients, we aim to find evidence whether there is actually a need for shared EHR systems in this context. Our results show that almost three quarters of the observed diabetes patients visit two or more different care providers during their diabetes-related visits.

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Background: This retrospective cohort study analyses effectiveness and sustainability of the current cardiac Phase III (Ph-III) rehabilitation program, provided by the Centre for Outpatient Rehabilitation (ZAR).

Methods: We analysed routine data of 451 intervention group patients (IG, with Ph-III) and 781 control group patients (KG, without Ph-III).

Results: In a median observation period of 2.

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