Publikationen
Wilke T, Ahrendt P, Schwartz D, Linder R, Ahrens S, Verheyen F. Incidence and prevalence of type 2 diabetes mellitus in Germany: an analysis based on 5.43 million patients. Dtsch Med Wochenschr. 2013;138(3):69-75.
Wilke T, Ahrendt P, Schwartz D, Linder R, Ahrens S, Verheyen F. Incidence and prevalence of type 2 diabetes mellitus in Germany: an analysis based on 5.43 million patients. Dtsch Med Wochenschr. 2013;138(3):69-75.
Abstract
BACKGROUND AND OBJECTIVE
Based on claims-data of 5.43 million members of a large German statutory health insurance fund in 2008 (Techniker Krankenkasse), the aim of this contribution is to update and more precisely quantify age- and gender-specific prevalence and incidence of type 2 diabetes mellitus (T2DM) in a German setting.
METHODS
A patient was classified as T2DM prevalent if he or she had received at least two outpatient diagnoses of T2DM in two different quarters of the year and/or had received at least one T2DM diagnosis during inpatient treatment between 01/01/2006 and 12/31/2008. A patient was considered to have had new onset T2DM in 2008 under one of three conditions: 1. no diagnosis of T2DM in 2006 and 2007, 2. no presripction of oral antidiabetics in 2006 and 2007, 3. either one inpatient or two outpatient diagnoses of T2DM conducted in two different quarters of 2008 or one outpatient T2DM diagnosis in 2006/07 when the second diagnosis was made in 2008.
RESULTS
A total of 254,524 patients had T2DM. Compared to the total membership of the medical insurance fund, the prevalence of T2DM was 4.69 %. The average age was 64.8 years, and 66.37 % were male. The incidence of T2DM in our sample was 2.814 cases per 1,000 person-years in men and 1.690 cases in 1,000 person-years in women. Based on our sample and on official population data, 4,704,585 patients (5.75 %) in Germany would be T2DM prevalent in 2009. The number of incident T2DM cases would amount to 215,746 patients (0.264 %).
CONCLUSIONS
T2DM is one of the most common chronic diseases in Germany. The expected demographic changes in Germany will increase the burden on the German health system caused by T2DM.
Wilke T, Groth A, Müller S, Verheyen F, Linder R, Pfannkuche M, Maywald U, Bauersachs R, Breithardt G. Prevalence and Incidence of Atrial Fibrillation: An Analysis Based on 8.3 Million Patients. Value in Health. 2012;15(4):A115–A116.
Wilke T, Groth A, Müller S, Verheyen F, Linder R, Pfannkuche M, Maywald U, Bauersachs R, Breithardt G. Prevalence and Incidence of Atrial Fibrillation: An Analysis Based on 8.3 Million Patients. Value in Health. 2012;15(4):A115–A116.
Abstract
OBJECTIVES
The aims of this contribution are to update and more precisely quantify the age and gender-specific prevalence and incidence of atrial fibrillation (AF) in an European setting (Germany).
METHODS
To fulfill the aims of the study, it was decided to make a population-based analysis of the claims data collected by a statutory health insurance fund, and concerning its 8.298 million members. A patient was classified as AF prevalent if he/she had received at least two outpatient diagnoses of AF (ICD10-Code I48.1) in two different quarters of the year and/or had received at least one main AF diagnosis during inpatient treatment between January 1, 2007 and December 31, 2008. A patient was considered to have had new onset AF in 2008 under one of three conditions; firstly, he/she had not received a diagnosis of AF in 2007; secondly, had not received oral anticoagulant medication in 2007; and thirdly, had received either one inpatient AF diagnosis in 2008, or two such outpatient diagnosis made in different quarters of that year. AF prevalence is reported in %, AF incidence is reported as cases per 1000 person-years.
RESULTS
In our sample, a total of 176,891 patients had AF. By reference to the total membership of the two medical insurance funds, the prevalence of AF was 2.132% (men: 2.369 %; women: 1.895%). The average age of these AF patients was 73.1 years, and 55.5% (98,190 patients) were male. The incidence of AF in our sample was 4358 cases per 1000 person-years in men and 3.868 cases in 1000 person-years in women. AF prevalence/incidence clearly depends on age and gender.
CONCLUSIONS
A comparison of the distribution of AF prevalence/incidence in our population with that in already published studies shows that our figures are higher, especially in the age groups above 70 years. Obviously, AF prevalence/incidence are further increasing in industrialized countries.
Wilke T, Müller S, Bauersachs R, Breithardt G. The influence of disease-specific symptoms on the health-related quality of life in patients with atrial fibrillation. 2012;15(7):A379.
Wilke T, Müller S, Bauersachs R, Breithardt G. The influence of disease-specific symptoms on the health-related quality of life in patients with atrial fibrillation. 2012;15(7):A379.
Abstract
OBJECTIVES
To assess the health-related quality of life (HrQoL) in patients with atrial fibrillation (AF) in Germany and to identify the influence of the associated AF-specific symptoms on HrQoL.
METHODS
HrQoL of AF patients recruited into a prospective cohort study was assessed by using the written version of the SF 36. General HrQoL as well as physical and mental component summary scores were calculated for each patient. Secondly, AF-related symptoms based on the EHRA AF symptoms classification (palpitations, fatigue, dizziness, dyspnea, chest pain, anxiety) were collected by asking each patient to fill out written questionnaires during visiting a GP. To identify the influence of these symptoms on HrQoL, a linear regression was conducted for each component summary score, while controlling for additional socio-demographic/AF-related clinical parameters.
RESULTS
A total of 526 AF-patients were recruited in 71 study centers (female patients: 45.1 %, average age: 73.2 years, average CHA2DS2-VASc score: 3.8). The average SF-36-physical summary score was 38.6 (SD: 10.4). The average SF-36 mental component score was 46.5 (SD: 11.8). Only 14.8 % of the patients reported none of the EHRA-symptoms. The most frequent symptom was fatigue (72.1 % of all patients). The results of the first multivariate regression (R2=0.349) showed that the most important factors explaining the SF-36-physical component score were fatigue, chest pain, dizziness and dyspnea. Only two of the control variables had a significant influence on physical HrQoL (age; number of medications taken). In the second estimate addressing mental HrQoL (R2=0.349), none of these factors was significant. The most important factors explaining mental HrQoL were palpitations, dizziness and anxiety.
CONCLUSIONS
AF patients in real life care have a limited physical/mental HrQoL. AF-related symptoms significantly explain the level of HrQoL. Consequently, in order to increase/maintain the HrQoL of AF patients, it is important to control/improve scores measured for AF-related symptoms.
Wilke T, Müller S. The quality of anticoagulation therapy in patients with atrial fibrillation. Value in Health. 2012;15(4):A128.
Wilke T, Müller S. The quality of anticoagulation therapy in patients with atrial fibrillation. Value in Health. 2012;15(4):A128.
Abstract
OBJECTIVES
The aim of this research was to assess the quality of anticoagulation therapy of patients with atrial fibrillation (AF) in a real life setting and to identify the causal factors explaining anticoagulation quality deficits. Furthermore, clinical consequences of suboptimal anticoagulation therapy (strokes, TIA, bleedings, embolism, myocardial infarcts) are identified.
METHODS
The INR values as well as other clinical events concerning AF patients recruited into a prospective cohort study (observation period of 12 month) were documented at every visit to the treating doctor. Using the Rosendaal linear trend method, the time in therapeutic range (TTR) of 2.0-3.0 was estimated. Additionally, the squared INR deviation was investigated. To identify causes of INR-values below/above 2.0-3.0, a logistic regression on the basis of a TTR 60% as the dichotomous outcome was conducted.
RESULTS
For 525 patients from 71 study centers, at least two INR values were available over a median observational period of 228.9 days (SD: 106.1 days). The average TTR was 68.1 % (SD: 26.3 %). The average deviation of INR value from the mean of the INR target range (2.5) was 0.44 (SD: 1.29). The results of the multivariate regression (R2 0,179) show that the most important factors explaining a poor quality of anticoagulation therapy are bridging periods and patients self-reported need of help regarding medication therapy without getting that help. In the group of patients with a TTR 60 %, the occurrence rate of clinical outcomes was higher (p 0.031) than in the group of patients with a TTR 60 %.
CONCLUSIONS
Labile INR values lead to negative clinical outcomes. In order to improve the situation, the main identified causes of poor anticoagulation quality should be addressed.
Wilke T, Groth A, Müller S, Ahrendt P, Schwartz D, Linder R, Ahrens S, Verheyen F. Prevalence and Incidence of Type 2 Diabetes Mellitus: An Analysis Based on 5.4 Million Patients. Value in Health. 2012;15(4):A174-A175.
Wilke T, Groth A, Müller S, Ahrendt P, Schwartz D, Linder R, Ahrens S, Verheyen F. Prevalence and Incidence of Type 2 Diabetes Mellitus: An Analysis Based on 5.4 Million Patients. Value in Health. 2012;15(4):A174-A175.
Abstract
OBJECTIVES
The aim of this research was to assess the quality of anticoagulation therapy of patients with atrial fibrillation (AF) in a real life setting and to identify the causal factors explaining anticoagulation quality deficits. Furthermore, clinical consequences of suboptimal anticoagulation therapy (strokes, TIA, bleedings, embolism, myocardial infarcts) are identified.
METHODS
The INR values as well as other clinical events concerning AF patients recruited into a prospective cohort study (observation period of 12 month) were documented at every visit to the treating doctor. Using the Rosendaal linear trend method, the time in therapeutic range (TTR) of 2.0-3.0 was estimated. Additionally, the squared INR deviation was investigated. To identify causes of INR-values below/above 2.0-3.0, a logistic regression on the basis of a TTR < 60% as the dichotomous outcome was conducted.
RESULTS
For 525 patients from 71 study centers, at least two INR values were available over a median observational period of 228.9 days (SD: 106.1 days). The average TTR was 68.1 % (SD: 26.3 %). The average deviation of INR value from the mean of the INR target range (2.5) was 0.44 (SD: 1.29). The results of the multivariate regression (R2=0,179) show that the most important factors explaining a poor quality of anticoagulation therapy are bridging periods and patients self-reported need of help regarding medication therapy without getting that help. In the group of patients with a TTR<60 %, the occurrence rate of clinical outcomes was higher (p=0.031) than in the group of patients with a TTR>60 %.
CONCLUSIONS
Labile INR values lead to negative clinical outcomes. In order to improve the situation, the main identified causes of poor anticoagulation quality should be addressed.
Wilke T, Groth A, Müller S, Pfannkuche M, Verheyen F, Linder R, Maywald U, Kohlmann T, Feng YS, Breithardt G, Bauersachs R. Oral anticoagulation use by patients with atrial fibrillation in Germany. Adherence to guidelines, causes of anticoagulation under-use and its clinical outcomes, based on claims-data of 183,448 patients. Thrombosis & Haemostasis. 2012;107(6):1009–1194.
Wilke T, Groth A, Müller S, Pfannkuche M, Verheyen F, Linder R, Maywald U, Kohlmann T, Feng YS, Breithardt G, Bauersachs R. Oral anticoagulation use by patients with atrial fibrillation in Germany. Adherence to guidelines, causes of anticoagulation under-use and its clinical outcomes, based on claims-data of 183,448 patients. Thrombosis & Haemostasis. 2012;107(6):1009–1194.
Abstract
Atrial fibrillation (AF) is the most common significant cardiac rhythm disorder. Oral anticoagulation (OAC) is recommended by guidelines in the presence of a moderate to high risk of stroke. Based on an analysis of claims-based data, the aim of this contribution is to quantify the stroke-risk dependent OAC utilisation profile of German AF patients as well as the possible causes and the associated clinical outcomes of OAC under-use. Our data set was derived from two large mandatory German medical insurance funds. Risk stratification of patients was based on the CHADS2-score and the CHA2DS2-VASc-score. Two different scenarios were constructed to deal with factors potentially disfavouring OAC use. Causes of OAC under-use and its clinical consequences were analysed using multivariate analysis. Observation year was 2008. A total of 183,448 AF patients met the inclusion criteria. This represents an AF prevalence of 2.21%. The average CHADS2-score was 2.8 (CHA2DS2-VASc-score: 4.3). On between 40.5 and 48.7% of the observed patient-days, there was no antithrombotic protection by OAC, other anticoagulants or aspirin. Older female patients with a high number of comorbidities had a higher risk of OAC under-use. Patients who had already experienced a thromboembolic event had a lower risk of OAC under-use. In the observation year, 3,367 patients experienced a stroke (incidence rate 1.8%). In our multi-level Poisson random effects estimate, OAC use decreases the stroke rate by almost 80% (IRR 0.236). In conclusion, OAC under-use is widespread in the German market. It is associated with severe clinical consequences.
Wilke T, Müller S, Morisky D.E. Toward Identifying the Causes and Combinations of Causes Increasing the Risks of Nonadherence to Medical Regimens: Combined Results of Two German Self-Report Surveys. Value in Health. 2011;14(8):1092–1100.
Wilke T, Müller S, Morisky D.E. Toward Identifying the Causes and Combinations of Causes Increasing the Risks of Nonadherence to Medical Regimens: Combined Results of Two German Self-Report Surveys. Value in Health. 2011;14(8):1092–1100.
Abstract
OBJECTIVES
This study aimed to identify the causes of the nonadherence (NA) of German patients to their prescribed medication. In the course of the investigation, the NA risk profiles resulting from the combination of the various causes were identified.
METHODS
Two cross-sectional surveys with a total of 1517 patients (comprising 1177 patients contacted by telephone and forming survey 1 and a different set of 340 patients interviewed in-depth and face-to-face forming survey 2) were conducted. Self-reported NA was measured by the generic Morisky Medication Adherence Scale (MMAS). Survey 1 used a four-item MMAS and Survey 2 an eight-item MMAS.
RESULTS
Approximately 35% to 40% of the patients can be described as nonadherent. In survey 1, a few causes explain the NA (chronic disease, younger age, and fewer medications required to be taken). The more detailed survey 2 shows that the existence of intentional NA has considerably more influence than any other causal factors. Positive medication beliefs, a positive mood, and a good patient-doctor relationship reduce the NA risk. Furthermore, patients who are easily able to recognize the correct medication, as evidenced by ability to correctly identify the packaging, have a reduced NA probability. Concerning additive risk, patients who are chronically ill but display no other causes of risk have an NA probability of 10.4%. By contrast, in patients displaying all the identified causes of risk, the rate increases to 93.9%.
CONCLUSIONS
About one-third of patients can be classified as nonadherent. Intentional/medication-based NA causal factors explain the NA considerably better than do socioeconomics. The existence of more than one cause of risk considerably increases the NA risk of a patient.
Müller S, Wilke T, Pfannkuche M, Meßer I, Kurth A, Merk H, Steinfeldt F, Ganzer D, Perka C. Patientenpfade in der Thromboseprophylaxe nach Hüft- und Kniegelenkersatz. Der Orthopäde. 2011;40(7):585-590.
Müller S, Wilke T, Pfannkuche M, Meßer I, Kurth A, Merk H, Steinfeldt F, Ganzer D, Perka C. Patientenpfade in der Thromboseprophylaxe nach Hüft- und Kniegelenkersatz. Der Orthopäde. 2011;40(7):585-590.
Abstract
ZUSAMMENFASSUNG
Ein wesentliches Element der Patientenversorgung nach einem Hüft- und Kniegelenkersatz stellt die medikamentöse Thromboseprophylaxe dar. Vor dem Hintergrund sinkender stationärer Akutverweildauern ist die Frage der Bedeutung und Organisation der ambulanten Thromboseprophylaxe in Verantwortung der Patienten zu beantworten (Patientenpfadanalyse).
Zur Analyse von Patientenpfaden wurde eine telefonische Befragung von 668 in Akutkliniken gewonnenen Patienten durchschnittlich 38 Tage nach der Operation durchgeführt (Fokus auf niedermolekulare Heparine). Rund 90% der Patienten stehen der Notwendigkeit gegenüber, mindestens an einem Tag die Thromboseprophylaxe im ambulanten/häuslichen Umfeld durchzuführen. Allein für 47,2% der Patienten ist das Linking – verstanden als „Überbrückungstage“ zwischen Akut- und Rehabilitationsaufenthalt – relevant. Die offensichtlich bestehende quantitative Bedeutung der ambulanten Thromboseprophylaxe zeigt sich auch in der Dauer der ambulanten Prophylaxephasen, die für 45,7% der interviewten Patienten zumindest 5 Tage beträgt.
Die ambulante Thromboseprophylaxe stellt hohe Anforderungen an die Patienten, insbesondere wenn diese mit der aus Patientensicht komplexen Gabeform der Spritze einhergeht. An der Versorgung Beteiligte sollten nicht „selbstverständlich“ davon ausgehen, dass Patienten im ambulanten Bereich die notwendige Prophylaxe zuverlässig betreiben. Vielmehr besteht Evidenz dafür, dass Non-Adhärenz von Patienten eine reale Versorgungsherausforderung darstellt.
Wilke T, Müller S, Groth A, Maywald U, Verheyen F. Anforderungen an ein effektives Adherence-Persistence-Programm am Beispiel von oralen Antidiabetika bei Diabetes mellitus Typ 2-Patienten. Gesundheitsökonomie & Qualitätsmanagement. 2011;16(5): 274-291.
Wilke T, Müller S, Groth A, Maywald U, Verheyen F. Anforderungen an ein effektives Adherence-Persistence-Programm am Beispiel von oralen Antidiabetika bei Diabetes mellitus Typ 2-Patienten. Gesundheitsökonomie & Qualitätsmanagement. 2011;16(5): 274-291.
Abstract
AIM
The aim of this review is 1. to give an overview about the extent of medication-based nonadherence (NA)/nonpersistence (NP) related to oral antidiabetics (OAD) in Diabetes mellitus type II (DM 2) therapy and 2. to evaluate the effectiveness of adherence interventions (AI) aimed to reduce NA/NP in OAD therapy in relation to their methodological quality.
METHOD
A systematic review of DM 2 studies regarding the extent of NA/NP concerning OAD and of AI effectiveness studies was conducted (Medline/NML and Embase). Only interventions aiming to improve medication adherence/persistence were included. All AI were evaluated regarding their methodological quality and their effectiveness (2 outcomes: adherence/persistence and clinical outcomes).
RESULTS
All in all, 62 studies evaluating the NA/NP extent in OAD and 15 publications evaluating 19 different AI were included in this review. According to the study mean, NA affects 29.1 % to 39.2 % and NP affects 56.1 % of the DM 2 patients; naturally, extent of NA/NP depends both on its definition and used NA/NP measures. Four dimensions of the methodological quality of AI were identified: 1. measurement of adherence/persistence/clinical outcomes, 2. measurement of NA/NP causes, 3. use of effective/validated intervention measures, 4. effective program evaluation. The authors defined 5 detailed methodological requirements per dimension and, based on this, developed a corresponding scoring model (MIN Score 0, MAX score 20). All 19 AI programs were evaluated in the scoring model (average score 8.05): Score < 5: 3 AI – no AI (0 %) with adherence/persistence/blood glucose level improvement; Score 5 – 9: 8 AI – 6 AI (75 %) with improvement in adherence/persistence/blood glucose levels; Score > 9: 8 AI – all AI (100 %) improved adherence and/or blood glucose levels.
CONCLUSION
In future, AI will play a much more important part than nowadays in the German health care system. However, the existing evidence concerning their limited effectiveness shows that a lot of research is needed in order to understand factors explain a program’s effectiveness. The scoring model provides first implications for the methodical evaluation of AI.
Wilke T, Greinacher A. Hospital-specific calculation of heparin-induced thrombocytopenia costs: a review. J Lab Med 2011;35(1); S:35-43.
Wilke T, Greinacher A. Hospital-specific calculation of heparin-induced thrombocytopenia costs: a review. J Lab Med 2011;35(1); S:35-43.
Abstract
Costs for heparin-induced thrombocytopenia (HIT) should be considered for any assessment of the cost-effectiveness of a certain strategy of thrombosis prophylaxis in a hospital. Five recent studies analyzed the cost of HIT as primary outcome. These studies reported widely differing estimates for the costs of a HIT case, which might be largely related to the different methodological approaches. The most plausible HIT cost estimates range between €9,000 and €15,000 per case for European hospitals and US$30,000–45,000 per case for hospitals in the United States. The approximate threefold cost difference between Europe and the US is to some extent caused by the very different costs for certain interventions and treatments, i.e., they are dependent on the economic environment of the hospitals analyzed. Based on the assumption that clinical management of acute HIT does not differ substantially between different medical systems, we recently developed the HIT cost calculator based on detailed analysis of additional resources required owing to the presence of HIT in 128 patients with clinical HIT. This tool offers interested hospitals a very transparent method to calculate their own HIT-related costs.