Stationäre Behandlung des Akuten Myokardinfarktes – ein Vergleich unterschiedlicher Datenquellen

Grobe, Th.; Gerhardus, Ansgar; A'Walelu, O.; Meisinger, Christa; Krauth, C

doi:10.1055/s-2008-1065349

Cited by 3 publications

(3 citation statements)

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“…Inclusion criteria differed for BMIR and AOK patients, which is a common phenomenon among different data sets, as also described by others [ 16 , 17 , 39 ]. To be able to compare both data sets, we had to define a possible overlap of patients from both data sets.…”

Section: Methodsmentioning

confidence: 85%

Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage

Maier

Wagner

Behrens

et al. 2016

BMC Health Serv Res

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BackgroundAssessment of quality of care in patients with myocardial infarction (MI) should be based on data that effectively enable determination of quality. With the need to simplify measurement techniques, the question arises whether routine data can be used for this purpose. We therefore compared data from a German sickness fund (AOK) with data from the Berlin Myocardial Infarction Registry (BMIR).MethodsWe included patients hospitalised for treatment of MI in Berlin from 2009-2011. We matched 2305 patients from AOK and BMIR by using deterministic record linkage with indirect identifiers. For matched patients we compared the frequency in documentation between AOK and BMIR for quality assurance variables and calculated the kappa coefficient (KC) as a measure of agreement.ResultsThere was almost perfect agreement in documentation between AOK and BMIR data for matched patients for: catheter laboratory (KC: 0.874), ST elevation MI (KC: 0.826), diabetes (KC: 0.818), percutaneous coronary intervention (KC: 0.860) and hospital mortality (KC: 0.952). The remaining variables compared showed moderate or less than moderate agreement (KC < 0.6), and were grouped in Category II with less frequent documentation in AOK for risk factors and aspects of patients’ history; in Category III with more frequent documentation in AOK for comorbidities; and in Category IV for medication at and after hospital discharge.ConclusionsRoutine data are primarily collected and defined for reimbursement purposes. Quality assurance represents merely a secondary use. This explains why only a limited number of variables showed almost perfect agreement in documentation between AOK and BMIR. If routine data are to be used for quality assessment, they must be constantly monitored and further developed for this new application. Furthermore, routine data should be complemented with registry data by well-established methods of record linkage to realistically reflect the situation – also for those quality-associated variables not collected in routine data.

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Section: Methodsmentioning

confidence: 85%

Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage

Maier

Wagner

Behrens

et al. 2016

BMC Health Serv Res

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“…Recently, calls for implementing cross-insurance data sets have become louder [ 43 , 54 , 68 , 87 ]. In Germany the implementation of a research data center analogous to that of other social security providers such as the BA or DRV would actually make the access to statutory health insurance data easier.…”

Section: Individual Data Linkage Within the Scope Of The Lida Studmentioning

confidence: 99%

“…A number of German validation studies compare information obtained from different data sources for analyzing of consistency [ 43 , 44 , 45 , 46 ]. In addition, there is a substantial body of work focusing on the internal validation of statutory health insurance data [ 47 , 48 , 49 ].…”

Section: Introductionmentioning

confidence: 99%

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

March

2017

IJERPH

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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.

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Administrative Data from Germany's Statutory Health Insurances for Social, Economic and Medical Research

Heller

2009

SSRN Journal

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This article gives a short description of administrative data sources from Germany's statutory health insurances which are of potential interest for social, economic and medical research. After an introduction, the underlying legal regulations as well as the structure and contents for the most interesting databases are shortly described. Current and future accessibility of this data sources are discussed in the context of legal and data privacy protection issues. Aspects of data validity and completeness are provided for the different data sources. Additionally an up-to-date example from health care research using administrative data is given.

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Stationäre Behandlung des Akuten Myokardinfarktes – ein Vergleich unterschiedlicher Datenquellen

Cited by 3 publications

References 0 publications

Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage

Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage

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

Administrative Data from Germany's Statutory Health Insurances for Social, Economic and Medical Research

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