[Validation of SHI Claims Data Exemplified by Gender-specific Diagnoses]

Epidemiology, Treatment and Health Care Resource Use of Patients with severe Asthma in Germany – a retrospective Claims Data Analysis

BACKGROUND

Asthma causes various clinical symptoms, including unpredictable severe exacerbations, and even though most patients can achieve a reasonable disease control due to adequate treatment, some patients do not. This study seeks to describe healthcare resource utilization (HCRU) and treatment of asthma and severe asthma patients in Germany.

METHOD

A retrospective claims data analysis has been conducted on adult asthma patients and a subset of patients with severe asthma, identified during July 2017 - June 2018. A proxy was used to identify severe asthma patients based on therapy options recommended within the German treatment guideline for treating these patients. These include (i) biologics, (ii) medium/high-dose inhaled corticosteroids (ICS) in conjunction with LABA/montelukast and antibiotics/oral corticosteroids (OCS), and (iii) long-term OCS therapy. HCRU and treatment of patients were observed during a 1-year follow-up period (July 2018 - June 2019).

RESULTS

The study included 388 932 adult asthma patients (prevalence: 7.90%), with 2.51%-12.88% affected by severe asthma (depending on the definition). 22.60% of all asthma patients experienced hospitalizations (severe asthma: 36.11%). Furthermore, 13.59% received OCS (severe asthma: 39.91%), but only 0.18% (severe asthma: 1.25%) received biologics. Only 23.95% (severe asthma: 41.17%) visited a pulmonologist.

CONCLUSIONS

A considerable proportion of severe asthma patients receive long-term OCS therapy. However, less than 50% have seen a pulmonologist who would typically seek a change in treatment to avoid the long-term consequences of OCS. To optimize the treatment of severe asthma in Germany, better referral of these patients to specialists is needed and considering potential treatment alternatives.

Healing, surviving, or dying? - projecting the German future disease burden using a Markov illness-death model

BACKGROUND

In view of the upcoming demographic transition, there is still no clear evidence on how increasing life expectancy will affect future disease burden, especially regarding specific diseases. In our study, we project the future development of Germany's ten most common non-infectious diseases (arthrosis, coronary heart disease, pulmonary, bronchial and tracheal cancer, chronic obstructive pulmonary disease, cerebrovascular diseases, dementia, depression, diabetes, dorsal pain and heart failure) in a Markov illness-death model with recovery until 2060.

METHODS

The disease-specific input data stem from a consistent data set of a major sickness fund covering about four million people, the demographic components from official population statistics. Using six different scenarios concerning an expansion and a compression of morbidity as well as increasing recovery and effective prevention, we can show the possible future range of disease burden and, by disentangling the effects, reveal the significant differences between the various diseases in interaction with the demographic components.

RESULTS

Our results indicate that, although strongly age-related diseases like dementia or heart failure show the highest relative increase rates, diseases of the musculoskeletal system, such as dorsal pain and arthrosis, still will be responsible for the majority of the German population's future disease burden in 2060, with about 25-27 and 13-15 million patients, respectively. Most importantly, for almost all considered diseases a significant increase in burden of disease can be expected even in case of a compression of morbidity.

CONCLUSION

A massive case-load is emerging on the German health care system, which can only be alleviated by more effective prevention. Immediate action by policy makers and health care managers is needed, as otherwise the prevalence of widespread diseases will become unsustainable from a capacity point-of-view.

Incidence of direct oral anticoagulant use in patients with nonvalvular atrial fibrillation and characteristics of users in 6 European countries (2008-2015): A cross-national drug utilization study

Aims

To estimate the incidence of direct oral anticoagulant drug (DOAC) use in patients with nonvalvular atrial fibrillation and to describe user and treatment characteristics in 8 European healthcare databases representing 6 European countries.

Methods

Longitudinal drug utilization study from January 2008 to December 2015. A common protocol approach was applied. Annual period incidences and direct standardisation by age and sex were performed. Dose adjustment related to change in age and by renal function as well as concomitant use of potentially interacting drugs were assessed.

Results

A total of 186 405 new DOAC users (age ≥18 years) were identified. Standardized incidences varied from 1.93–2.60 and 0.11–8.71 users/10 000 (2011–2015) for dabigatran and rivaroxaban, respectively, and from 0.01–8.12 users/10 000 (2012–2015) for apixaban. In 2015, the DOAC incidence ranged from 9 to 28/10 000 inhabitants in SIDIAP (Spain) and DNR (Denmark) respectively. There were differences in population coverage among the databases. Only 1 database includes the total reference population (DNR) while others are considered a population representative sample (CPRD, BIFAP, SIDIAP, EGB, Mondriaan). They also varied in the type of drug data source (administrative, clinical). Dose adjustment ranged from 4.6% in BIFAP (Spain) to 15.6% in EGB (France). Concomitant use of interacting drugs varied between 16.4% (SIDIAP) and 70.5% (EGB). Cardiovascular comorbidities ranged from 25.4% in Mondriaan (The Netherlands) to 82.9% in AOK Nordwest (Germany).

Conclusion

Overall, apixaban and rivaroxaban increased its use during the study period while dabigatran decreased. There was variability in patient characteristics such as comorbidities, potentially interacting drugs and dose adjustment. (EMA/2015/27/PH).

Individual Data Linkage of Survey Data with Claims Data in Germany-An Overview Based on a Cohort Study

Research based on health insurance data has a long tradition in Germany. By contrast, data linkage of survey data with such claims data is a relatively new field of research with high potential. Data linkage opens up new opportunities for analyses in the field of health services research and public health. Germany has comprehensive rules and regulations of data protection that have to be followed. Therefore, a written informed consent is needed for individual data linkage. Additionally, the health system is characterized by heterogeneity of health insurance. The lidA-living at work-study is a cohort study on work, age and health, which linked survey data with claims data of a large number of statutory health insurance data. All health insurance funds were contacted, of whom a written consent was given. This paper will give an overview of individual data linkage of survey data with German claims data on the example of the lidA-study results. The challenges and limitations of data linkage will be presented. Despite heterogeneity, such kind of studies is possible with a negligibly small influence of bias. The experience we gain in lidA will be shown and provide important insights for other studies focusing on data linkage.