Identifying and Investigating Ambulatory Care Sequences Before Invasive Coronary Angiography.

BACKGROUND: The concept of care pathways is widely used to provide efficient, timely, and evidence-based medical care. Recently, the investigation of actual empirical patient pathways has gained attention. We demonstrate the usability of State Sequence Analysis (SSA), a data mining approach based on sequence clustering techniques, on comprehensive insurance claims data from Germany to identify empirical ambulatory care sequences. We investigate patients with coronary artery disease before invasive coronary angiography (CA) and compare identified patterns with guideline recommendations. This patient group is of particular interest due to high and regionally varying CA rates. METHODS: Events relevant for the care of coronary artery disease patients, namely physician consultations and medication prescriptions, are identified based on medical guidelines and combined to define states. State sequences are determined for 1.5 years before CA. Sequence similarity is defined for clustering, using optimal matching with theory-informed substitution costs. We visualize clusters, present descriptive statistics, and apply logistic regression to investigate the association of cluster membership with subsequent undesired care events. RESULTS: Five clusters are identified, the included patients differing with respect to morbidity, urbanity of residential area, and health care utilization. Clusters exhibit significant differences in the timing, structure, and extent of care before CA. When compared with guideline recommendations, 3 clusters show signs of care deficits. CONCLUSIONS: Our analyses demonstrate the potential of SSA for exploratory health care research. We show how SSA can be used on insurance claims data to identify, visualize, and investigate care patterns and their deviations from guideline recommendations.

Regional variation in coronary angiography rates: the association with supply factors and the role of indication: a spatial analysis.

BACKGROUND: Coronary angiographies (CAs) are among the most common diagnostic procedures carried out in German hospitals, and substantial regional differences in their frequency of use have been documented. Given the heterogeneity with regard to the expected benefits and the varying scope for discretion depending on the indication for the procedure, we hypothesized that the observed variation and the association of need and supply factors differs by indication for CA. METHODS: We investigated the correlation between supply factors and the regional rates of CAs in Germany while controlling for need using spatial-autoregressive error models (SARE) and spatial cross-regressive models with autoregressive errors (SCRARE). The overall rates of CAs and the rates in specific patient subgroups, namely, patients with and without myocardial infarction (MI), were calculated based on a comprehensive set of nationwide routine data from three statutory health insurances at the district level. RESULTS: Although little variation was found in cases with MI, considerable variation was seen in the overall cases and cases without MI. The SARE models revealed a positive association between the number of hospitals with a cardiac catheterization laboratory per 10,000 population and the rates of overall cases and cases without MI, whereas no such relationship existed in cases with MI. Additionally, an association between regional deprivation and the rates of CAs was found in cases with MI, but no such association was seen in cases without MI. CONCLUSIONS: The results supported the hypothesis that the relative association of need and supply factors differed by the indication for CA. Although the regional differences in the frequency of use of CAs can only be explained in part by the factors examined in our study, it offers insight into patient access to and the provision of CA services and can provide a platform for further local research.

Comparative risks of bleeding, ischemic stroke and mortality with direct oral anticoagulants versus phenprocoumon in patients with atrial fibrillation.

PURPOSE: The pivotal trials for stroke prevention in non-valvular atrial fibrillation (NVAF) compared rivaroxaban, dabigatran, and apixaban with warfarin, as did most claims-based studies. Comparisons with phenprocoumon, the most frequently used vitamin K antagonist (VKA) in Germany, are scarce. METHODS: Risk of bleeding, ischemic stroke, and all-cause mortality in patients with NVAF were analyzed using data for 2010 to 2014 from a large German claims database. New users of oral anticoagulants from January 2012 to December 2013 were included and observed over 1 year. Baseline characteristics were adjusted using propensity score matching and logistic regression. Several sensitivity analyses were carried out. RESULTS: Fifty-nine thousand four hundred forty-nine rivaroxaban, 23,654 dabigatran, 4894 apixaban, and 87,997 matched phenprocoumon users were included. Adjusted hazard ratios (95% confidence intervals) compared with phenprocoumon were as follows: hospitalized bleedings: rivaroxaban 1.04 (0.97; 1.11), dabigatran 0.87 (0.77; 0.98), and apixaban 0.65 (0.50; 0.86); ischemic stroke: rivaroxaban 1.05 (0.94; 1.17), dabigatran 1.14 (0.96; 1.35), and apixaban 1.84 (1.20; 2.84); all-cause mortality: rivaroxaban 1.17 (1.11; 1.22), dabigatran 1.04 (0.95; 1.13), and apixaban 1.14 (0.97; 1.34). CONCLUSIONS: With rivaroxaban, no significant differences were observed compared to phenprocoumon with regard to hospitalized bleedings or ischemic strokes. Dabigatran was associated with fewer bleedings and a similar risk of ischemic strokes compared to phenprocoumon. Apixaban was also associated with fewer bleedings but was unexpectedly associated with more ischemic strokes, possibly reflecting selective prescribing. The association of rivaroxaban with higher all-cause mortality unrelated to bleedings or strokes has been described previously but remains to be explained.

Assessing Reduction of Antibiotic Prescribing for Acute, Non-Complicated Infections in Primary Care in Germany: Multi-Step Outcome Evaluation in the Cluster-Randomized Trial ARena.

The three-armed cluster-randomized trial ARena (sustainable reduction of antibiotic-induced antimicrobial resistance) aimed to foster appropriate antibiotic use and reduce overprescribing in German ambulatory care to counter antibiotic resistance. Multi-faceted interventions targeted primary care physicians, teams and patients. This study examined the effectiveness of the implementation program. ARena was conducted in 14 primary care networks with 196 practices. All arms received data-based feedback on antibiotics prescribing and quality circles. Arms II and III received different add-on components each. Primary outcome examined is the prescribing rate for systemic antibiotics for cases with non-complicated acute infections (upper respiratory tract, bronchitis, sinusitis, tonsillitis, otitis media). Secondary outcomes refer to the prescribing of quinolones and guideline-recommended antibiotics. Based on pseudonymized quarterly claims data, mixed logistic regression models examined pre-post intervention antibiotic prescribing rate changes and compared to matched standard care. A significant rate reduction (arm I 11.7%; arm II 9.9%; arm III 12.7%) and significantly lower prescribing rates were observed for all arms (20.1%, 18.9% and 23.6%) compared to matched standard care (29.4%). Fluoroquinolone prescribing was reduced in all intervention arms and rates for recommended substances generally increased. No significant post-interventional difference between intervention arms was detected. Findings indicate implementation program impact compared to standard care.

Use of guideline-recommended drug therapy in patients undergoing percutaneous coronary intervention for stable coronary heart disease in Germany: a multilevel analysis of nationwide routine data.

OBJECTIVES: To determine the prescription of guideline recommended drug therapy in patients with stable coronary heart disease (sCHD) prior to percutaneous coronary intervention (PCI) in Germany and to examine the role of patient characteristics and features of regional healthcare supply in a multilevel model. DESIGN: Secondary data analysis of factors associated with the prescription of guideline recommended drug therapy using a multilevel model to analyse regional-level effects, over and above the effects of patient-level demographic and health status. SETTING: Office-based prescriptions in the year prior to the invasive procedure. PARTICIPANTS: A linked nationwide dataset from Germany's three largest statutory health insurance funds of all patients receiving PCI in the year 2016. MAIN OUTCOME MEASURES: Patients' odds of receiving optimal medical therapy and symptom-oriented therapy within 1 year prior to PCI. RESULTS: 68.6% of patients received at least one lipid-lowering drug and one symptom-oriented therapy prior to PCI. 43.6% received at least two agents to control their symptoms. Patients who received treatment in accordance with the recommendations had a greater number of diagnosed risk factors, a more severe history of cardiac disease and used a higher volume of ambulatory office-based physician services. The prescriptions prevalence for the symptom-oriented therapies differed significantly between eastern and western Germany, with a higher prevalence in the eastern districts. CONCLUSIONS: Guidelines can only provide decision-making corridors, and the applicability of recommendations must always be assessed on a case by case basis. Nevertheless, our analysis indicates that the prevalence of prescriptions in routine practice is subject to substantial variation and that conservative therapy options are not fully exhausted prior to PCI. This suggests that there might be room for improvement in the care of patients with sCHD.

[Measuring, assessing, acting: A practice test of quality indicators for coronary heart disease]. / Messen, Bewerten, Handeln: Qualitätsindikatoren zur Koronaren Herzkrankheit im Praxistest.

BACKGROUND: There are only limited possibilities for doctors in outpatient services to establish quality management that is based on data-driven feedback regarding the quality of health care. However, transparency about one's own activities is a prerequisite for refining this quality. The aim of this project was to make the quality of care for patients with coronary heart disease (CHD) more transparent, use this as a basis to initiate improvement processes, and explore the framework conditions and factors promoting or inhibiting the intended improvement of health care quality. METHOD: 48 general practitioners (GPs) in 32 GP practices from a Bavarian doctors' network (Qualität und Effizienz, QuE) participated in the project. On the basis of claims data from the AOK-Bayern (a statutory health insurance in Bavaria), data from disease management programs (DMP) and medically documented data, 11 quality indicators for patients with CHD were calculated. The indicator scores were individually presented in feedback reports for each doctor's practice. These were the basis for two quality circles. The indicators were measured again after 12 months, and changes against the baseline measurement were registered. GPs from Bavaria formed the control group. Focus groups with the quality circle moderators and two participant surveys were used to identify promoting and inhibiting factors. RESULTS: The baseline values showed a good level of care. Potential for improvement became apparent for pharmacotherapy with beta blockers and statins. After conducting the quality circles four of the eleven indicators showed an increase as intended ("beta blockers for CHD and cardiac insufficiency", "beta blockers after myocardial infarction", "statins", "successful blood pressure control"). For three of these indicators the increase rates were higher than those in the Bavarian control group. One indicator ("statins") was striking because of the wide variation of practice values suggesting differences in care within the network. The majority of participating doctors regarded the database as valid. Quality circles were highly appreciated as an opportunity for professional exchange among colleagues. The data-based feedback reports helped to make deficits in health care transparent and to identify actions that need to be taken. Barriers to implementing quality improvement measures in clinical practice became apparent. DISCUSSION: Reflecting quality indicators in quality circles can effectively trigger quality improvement processes. Barriers would appear to exist, in particular, to the implementation of measures into daily practice routine. Additional organizational support offered by higher-level quality management structures, IT solutions for patient-related data processing as well as a system of financial compensation, which rewards professional concern for quality, may help to overcome the existing barriers.