BACKGROUND:Insurance data allow insights into dispensations of medications. This retrospective study over 49 months examined dispensations of monoclonal antibodies against calcitonin gene-related peptide (CGRP-mAbs). METHODS:Using nationwide insurance data, we examined dispensations of erenumab, fremanezumab, or galcanezumab from September 1, 2018 to September 30, 2022. We examined the duration of treatment and breaks (Kaplan-Meier curves, medians, quartiles), persistence (proportion of days covered), and switches, acute medications, and other preventatives. RESULTS:Of 8.8 million persons, 8934 were at least once dispensed a CGRP-mAb (83.5% women, median age 45 years). Median individual follow-up time was 710 days, median duration of treatment with any CGRP-mAb was 297 days, 42.9% had CGRP-mAbs for at least 1 year. Median duration of treatment with the first-ever CGRP-mAb was 327 days; 63.4% experienced a therapy break. Within 1 year after stopping, 53.5% resumed the same CGRP-mAb, 16.9% another CGRP-mAb, 29.6% did not resume any CGRP-mAb; 13.7% started a second CGRP-mAb and 1.7% a third. 22% definitively stopped therapy within their follow-up. Dispensation of triptans decreased during and after therapy with CGRP-mAbs; dispensation of other acute prescription medications was low without change. 11.4% had other preventatives before and 2.4% during CGRP-mAb therapy. The proportion of days covered was 96%. CONCLUSIONS:In this nationwide study persistence with CGRP-mAbs was excellent; dispensations of triptans and other preventatives decreased during CGRP-mAb therapy. Therapy breaks were common, but the majority resumed CGRP-mAbs, which indicates the need for long-term prophylaxis.

Quality indicators serve as a tool to measure and improve evidence-based health care. Often the transition from inpatient to outpatient care is not sufficiently included. The focus of this work was to develop and to evaluate methods to define relevant cross-sector quality indicators based on Austrian claims data, using myocardial infarction as tracer.

Background: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality. They are usually defined as adverse event rates, which may not fully capture guideline adherence over time. Methods: For assessing process indicators where compliance to the recommended treatment can be assessed by evaluating a patient's trace in linked routine databases, we propose using restricted mean survival time or restricted mean time lost, which are applicable even in competing risk situations. We demonstrate their application by assessing the compliance of patients with acute myocardial infarction (AMI) to high-power statins over 12 months in Austria’s political districts, using pseudo-observations and employing causal inference methods to achieve regional comparability. Results: We analyzed the compliance of 31,678 AMI patients from Austria’s 116 political districts with index AMI between 2011 and 2015. The results revealed considerable compliance variations across districts but also plausible spatial similarities. Conclusions: Restricted mean survival time and restricted mean time lost provide interpretable estimates of patients’ expected time in compliance (lost), well-suited for risk-adjusted entity comparisons in the presence of (measurable) confounding, censoring, and competing risks.

Objectives: Secondary prevention is crucial for reducing morbidity and mortality in patients following acute myocardial infraction (MI). However, adherence to cardiac rehabilitation (CR) and pharmacotherapy remains suboptimal despite strong guideline recommendations. This study investigated the adherence to CR, dual antiplatelet therapy (DAPT), and statins following acute MI and evaluated their impact on patient outcomes from a nationwide perspective in Austria. Methods: In this national observational study, all patients diagnosed with acute MI, defined as STEMI or NSTEMI, between April 2011 and August 2015 in Austria were included. Patient characteristics and comorbidities were derived from the Austrian national health insurance system using ICD-10 codes. Adherence to CR, high-intensity statins, and DAPT was assessed based on health insurance records and pharmacy prescription submissions. Cox Regression hazard analysis was used to explore the impact of non-adherence to CR on mortality. Results: Among 16,518 acute MI patients, only 13.4% adhered to the recommended CR programs, which was associated with a significantly lower risk of mortality (adjusted hazard ratio [HR] 0.73; 95% CI: 0.54–0.98; p = 0.036). In contrast, 66.4% of 23,240 patients did not comply with high-intensity statin therapy, correlating with an increased mortality risk (adjusted HR 1.16; 95% CI: 1.06–1.25; p < 0.001). Furthermore, among 22,331 patients analyzed for DAPT adherence, only 29.3% followed the guidelines, yet this adherence was linked to a 21% reduction in mortality over the observation period (adjusted HR 0.79; 95% CI: 0.72–0.88; p < 0.001). Conclusions: This nationwide study reveals alarmingly low adherence to CR and secondary preventive medications among acute MI patients, which is significantly linked to higher mortality rates. Enhanced efforts to promote awareness and adherence are crucial, involving structured referrals and personalized follow-ups to improve patient outcomes. Addressing these gaps through comprehensive healthcare strategies could substantially enhance cardiovascular health.

BACKGROUND:Quality indicators (QI) are a common method to ensure quality in healthcare. This paper is based on the so-called QI-KA project, which defined cross-sector QI for the Austrian healthcare system. However, to allow for automated conformance checking, the QI must be modelled in a formal way.OBJECTIVES:The aim of this paper is to gather requirements on modelling languages and tools in healthcare, create models for one of the QI-KA project's QI and finally evaluate them.METHODS:The QI-2 is modelled in the Business Process Model and Notation (BPMN) together with the Decision Model and Notation (DMN) to showcase and evaluate their application and suitability.RESULTS:The generated models show that BPMN and DMN are mostly appropriate for this use case and serve as a basis for automated conformance checking.CONCLUSION:We successfully showed that BPMN and DMN can be used to model cross-sector QI in a formal way to prepare for conformance checking. The field of application can be extended to other medical areas. To further improve quality in healthcare, outcomes from models and conformance-checking should be discussed in interdisciplinary teams.

Managing routinely collected data in health care and public health is important for evaluation of interventions and answering research questions using "real life" and "big data". In addition to the technical requirements of information systems, both standardized terminology and standardized processes are needed. The aim of this project was to analyse and assess the integration of standardized terminology and document templates for a dietetic care process (DCP) into the health information system (HIS) in a hospital in Austria. Using an action research approach, the DCP was analysed through four expert interviews and the integration into the HIS through two expert interviews with observations. Key strengths and weaknesses for the main criteria ("integration of the ICF catalogue", "adaption of the document templates", "adaption of the DCP", and the "adaption of the user authorizations") were presented and proposals for improvement given. The system and process integration of the DCP is possible, and the document templates can be adapted with the software currently in use. Although an increase in resources and finances required is to be expected initially, the integration of a standardized dietetic terminology in combination with a standardized process is likely to improve the quality of care and support outcomes management and research.

Objective To gather information about prescription of triptans and to evaluate whether vascular comorbidity differs in users and nonusers of triptans over the age of 50 years. Background Beyond the age of 50 years, migraine is still common-yet the incidence of vascular disorders increases. Triptans, medications for treating migraine attacks, are vasoconstrictive drugs and contraindicated in persons with vascular disorders. Methods Based on a nationwide insurance database from 2011, we compared the prescription of vascular drugs (identified by Anatomical Therapeutic Chemical codes), vascular diagnoses and hospitalizations, between triptan users greater than 50 years and a matched control group. Results Of the 3,116,000 persons over 50 years, 13,833 (0.44%) had at least one triptan prescription; 11,202 (81%) were women. Thirty percent of the triptan users (13,833/47,336 persons) were over 50 years. Of those over 50 years, 6832 (49.4%) had at least one vascular drug and 870 (6.3%) had at least one inpatient vascular diagnosis; 15.7% (2166 of 13,833 users) overused triptans. We compared triptan-users to 41,400 nonusers, using a 1:3 match. In triptan-users, prescriptions of cardiac therapies and beta blockers were significantly more common (odds ratio [OR] = 1.35, 95% confidence interval [CI] = 1.24-1.47 and OR = 1.19, 95% CI = 1.14-1.25, respectively); whereas prescriptions of calcium channel blockers and renin/angiotensin inhibitors were significantly less common (OR = 0.82, 95% CI = 0.76-0.88 and OR = 0.75, 95% CI = 0.72-0.79, respectively). The prescriptions of antihypertensive, diuretic, and antilipidemic drugs as well as platelet inhibitors and direct thrombin inhibitors did not differ in users and nonusers. Triptan users had significantly more hospital stays (OR = 1.39, 95% CI = 1.33-1.45); however, the number of days spent in the hospital and more importantly the frequency of inpatient vascular diagnoses did not differ statistically significantly between the two groups. Conclusion In persons over 50 years of age, a prescription of triptans is common. Vascular comorbidity is comparable in users and nonusers of triptans showing that triptans are prescribed despite vascular comorbidity and suggesting that triptan use does not increase vascular risk in patients with migraine over the age of 50 years. Nevertheless, regular evaluation for contraindications against triptans and for vascular risk factors is recommended in this age group.

Background The use of potentially inappropriate medication (PIM) in population of older adults may result in adverse drug events (ADE) already after short term exposure, especially when it is prescribed to patients with chronic kidney disease (CKD). In order to limit ADE in the treatment of older adults PIM lists have been constructed as a source of information for healthcare professionals. The aim of this study was to estimate the utilization of PIM and incidence of ADE in older adults (≥70 years) with CKD. Methods We conducted a retrospective population-wide cohort study including patients from Lower Austria who were 70 years or older and diagnosed with CKD in the period from 2008 to 2011. Utilization of PIM was estimated from prescriptions filled by target population. We estimated risks of hospitalization due to ADE within 30 days after incident PIM prescription and compared them to a PIM-free control group by using marginal structural models (MSM). Results We identified 11,547 patients (women: 50.6%, median age in 2008: 78 years) who fulfilled the inclusion criteria. In total 24.7 and 8.1% of all prescriptions from that period contained a medication with a substance listed in the EU (7)-PIM and AT-PIM list, respectively. Proton pump inhibitors and Ginkgo biloba were the most often prescribed PIMs in this population. 94.6 and 79.3% patients filled at least one EU(7)-PIM and AT-PIM prescription, respectively. Despite the relatively high utilization of PIM there was only a low incidence of clinically relevant ADE. No event type exceeded the threshold level of 1% in the analysis of risks of ADE after filling a prescription for PIM. Nevertheless, MSM analysis showed an increased risk for 11 drugs and reduced risk for 4 drugs. Conclusions PIM prescription was common among older adults with CKD, however, only a small number of these drugs eventually led to hospitalization due to ADE within 30 days after incident PIM was filled. In the absence of a clinically important PIM-related increase in risk, an assessment of potential ADE severity to a PIM list by using a warning score system seems prudent.

In healthcare studies, the analysis of claims data is gaining an increasingly important role. Observational studies should be reported in a manner that promotes internal and external validity assessment, with the exact and standardized description of items. Several international guidelines and checklists for reporting on secondary data are available. The aim of this work was to analyse the applicability of reporting guidelines especially for claims data. The STROSA-2 guidelines recommendations were evaluated by means of a report on a study on triptan medications in Austria. Six items were identified which could be expanded to support complete and transparent report on Austrian claims data. Therefore, we would suggest to add some details in the STROSA-2 guidelines concerning study design, legal foundations, data protection, data flow, descriptive results and risk of bias. The guidelines for reporting on Austrian claims data were successfully compiled with additional items. New guidelines should be further processed and tested with strong recommendations to focus on data limitations and legal aspects.

Secondary prevention after acute coronary syndrome (ACS) mirrors a key position in the reduction of morbidity and mortality in this highly vulnerable patient population. Especially cardiac rehabilitation proved to be one of the most beneficial therapeutic approaches for the reduction of re-events and overall modification of cardiovascular risk factors. However, profound epidemiological measures on adherence to a recommended cardiac rehabilitation after ACS remain scare, but seem of major importance in terms of preventing fatal cardiac adverse events. Therefore, we aimed to investigate adherence to cardiac rehabilitation after ACS and its impact on patient outcome from an Austrian nationwide perspective. Within this population-based national observation all patients presenting with ACS between 04/2011 and 8/2015 in Austria were enrolled. Patient characteristics and co-morbidities were assessed via the Austrian national health insurance system and elucidated according to ICD10 definitions. Adherence to recommended cardiac rehabilitation was investigated according to health insurance documentation. Patients were followed prospectively until the primary study endpoint (= mortality) was reached. Cox Regression hazard analysis was used to investigate the impact of non-adherence to cardiac rehabilitation on patient outcome and was adjusted for a comprehensive subset of confounders within the multivariate model. During the observation period a total of 16.518 patients (median age: 64 years [54–74]; male: 68.4% [n=11.306]) met the inclusion criteria. Of alarming importance 86.6% (n=14.305) of all patients presenting with ACS did not perform any cardiac rehabilitation as recommended by current guidelines. During patient follow-up until 01/2018 a total of 1774 (10.7%) individuals died. Adherence to recommended cardiac rehabilitation had a strong an independent inverse association with mortality with an adjusted hazard ratio of 0.73 (95% CI: 0.54–0.98; p=0.036) (see Figure 1). The present nationwide investigation highlighted an overall low adherence to recommended cardiac rehabilitation after ACS. Since cardiac rehabilitation after ACS was associated with a 27% risk reduction for fatal cardiovascular events during the observation period, awareness in terms of cardiac rehabilitation and associated intensified risk factor modification should be promoted, in order to prevent fatal atherothrombotic events. Figure 1. Cumulative mortality Type of funding source: None

The suitability of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) for Austrian pseudonymized claims data from social security institutions and information about hospital stays is evaluated. 1,023 (99.7%) of ATC codes and 3,695 (98.6%) of ICD10 codes coincide with the OMOP vocabulary. Mappings for the local vocabularies like the Austrian pharmaceutical registration numbers, the Socio-Economic Index and professional groups, to the OMOP vocabulary do not exist. A standardization with the OMOP CDM is possible, however an initial, not negligible effort is required to adapt and incorporate the vocabulary.

The Main Association of Austrian Social Security Institutions collects pseudonymized claims data from Austrian social security institutions and information about hospital stays in a database for research purposes. For new studies the same data are repeatedly reprocessed and it is difficult to compare different study results even though the data is already preprocessed and prepared in a proprietary data model. Based on a study on adverse drug events in relation to inappropriate medication in geriatric patients the suitability of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) is analyzed and data is transformed into the OMOP CDM. 1,023 (99.7%) of drug codes and 3,812 (99.2%) of diagnoses codes coincide with the OMOP vocabularies. The biggest obstacles are missing mappings for the Local Vocabularies like the Austrian pharmaceutical registration numbers and the Socio-Economic Index to the OMOP vocabularies. OMOP CDM is a promising approach for the standardization of Austrian claims data. In the long run, the benefits of standardization and reproducibility of research should outweigh this initial drawback.

Aims of this survey were to evaluate prescription patterns for children and adolescents in primary and hospital care settings in Austria and to identify the medicines used most frequently in this population. Prescription data were assessed for the year 2014: for primary care, reimbursement data were obtained from Austrian health insurances; for hospital care, information on medicines dispensed to pediatric wards from hospital pharmacies. Frequencies of medicine use were analyzed by Anatomical Therapeutic Chemical classification system, age groups, and care setting. In primary care, anti-infectives (25%) and medicines for the respiratory system (14%) and for the nervous system (13%); in hospitals, anti-infectives (23%) and medicines for the nervous system (13%) and alimentary tract (12%) were prescribed most frequently. Amoxicillin/beta-lactamase inhibitor, ibuprofen, and paracetamol were the most frequent substances in both primary and hospital care settings. Based on the top 80% prescribed substances, a hit list of 150 pediatric medicines was defined for Austria.CONCLUSION:This is the first representative and comprehensive survey of medicine use in children and adolescents in Austria, allowing comparison of prescription patterns to other European countries and assessing temporal trends in the future. Moreover, it serves as basis for planned measures to improve rational use of pediatric medicines. What is Known: • Large knowledge gaps exist for medicine use in children and adolescents concerning appropriate dosing, efficacy, and safety aspects. • Off-label medicine use is common in the treatment of children and adolescents. What is New: • We present a comprehensive survey of current prescription patterns for children and adolescents in Austria and define a hit list of pediatric medicines, as basis for developing an evidence-based information platform for health care professionals. • Anti-infectives, medicines for respiratory tract system, and pain medication are most frequently prescribed.

Background: To develop simulation models for healthcare related questions clinical data can be reused. Objectives: Develop a clinical data warehouse to harmonize different data sources in a standardized manner and get a reproducible interface for clinical data reuse. Methods: The Kimball life cycle for the development of data warehouse was used. The development is split into the technical, the data and the business intelligence pathway. Results: Sample data was persisted in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The i2b2 clinical data warehouse tools were used to query the OMOP CDM by applying the new i2b2 multi-fact table feature. Conclusion: A clinical data warehouse was set up and sample data, data dimensions and ontologies for Austrian health claims data were created. The ability of the standardized data access layer to create and apply simulation models will be evaluated next.

To evaluate triptan use and overuse as well as prescription patterns in Austria based on a nationwide healthcare database because data on triptan use and overuse in Austria is missing.

Introduction Beta-blockers are indicated for secondary prevention of coronary artery disease (CAD). However, in patients with co-morbidity of chronic obstructive pulmonary disease (COPD) an underuse of beta-blocker has been reported. Materials and Methods Prescription and demographic data and information on hospital discharge diagnoses from 13 Austrian health insurance funds for the years 2006-2007 were analyzed. The primary end point was all-cause mortality of patients with CAD with or without COPD and its association with use of beta-blockers. Results In 2006 and 2007, 65717 patients (37% female, 63% male) were discharged with a diagnosis of CAD. Among these patients, 46% had a co-diagnosis of COPD, 24% had diabetes, and 75% received beta-blockers. Use of beta-blockers was comparable in CAD patients with COPD and without COPD with 77% and 74%, respectively. Thousand eight hundred seventy-two (8.1%) and 1473 (5.6%) patients with and without COPD, who used beta-blockers died within months in 2006 and 2007. Thousand five hundred fifty-three (22.0%) and 1862 (22.2%) of patients with and without COPD and without beta-blockers died during the corresponding time period. Discussion Use of beta-blockers was similar in patients with CAD with or without co-diagnosis of COPD. However, mortality of beta-blocker users was markedly lower than that of nonusers in patients with CAD with or without COPD.

Pre-emptive pharmacogenetic (PGx) testing combined with clinical decision support is a promising new strategy for making pharmacotherapy safer and more effective. To estimate the number of patients whose therapies could be guided by this approach, we analysed claims data for patients in Austria in the years 2006 and 2007. We calculated the number of patients receiving one or several drugs for with pharmacogenomic guidelines are available (PGx drugs). The cohort consisted of 6,761,034 patients and was split into four age groups. Patients in the age group >=65 were prescribed the most PGx drugs, with 72% of the patients receiving at least one PGx drug. 39.1% of all people over 65 received at least one drug metabolized by the three most frequent cytochrome P450 enzymes. Our data indicate that a sizable fraction of elderly patients could profit from the implementation of pre-emptive PGx testing and decision support.