Gute Praxis Datenlinkage (GPD)

March, Stefanie; Andrich, Silke; Drepper, Johannes; Horenkamp-Sonntag, Dirk; Icks, Andrea; Ihle, Peter; Kieschke, Joachim; Kollhorst, Bianca; Maier, Berenike; Meyer, Ingo; Müller, Gabriele; Ohlmeier, Christoph; Peschke, Dirk; Richter, Adrian; Rosenbusch, Marie-Luise; Scholten, Nadine; Schulz, Mandy; Stallmann, C; Swart, Enno; Wobbe-Ribinski, Stefanie; Wolter, Antke; Zeidler, Jan; Hoffmann, Falk

doi:10.1055/a-0962-9933

Cited by 33 publications

(33 citation statements)

References 36 publications

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“…The Working Group for the Survey and Utilization of Secondary Data (AGENS) already published guidelines on secondary data analysis back in 2005; the publication is now in its third edition [50]. Against this backdrop, further guidelines developed since 2016 address the increasingly important subject of ensuring compliance with data protection regulations when linking datasets [34]. Finally, the standardized reporting of secondary data analyses (STROSA) reporting standard is available for Germany and also in the second edition [49].…”

Section: Consensus Recommendations and Guidelines On Routinely Collecmentioning

confidence: 99%

Quality of care in surgical/interventional vascular medicine: what can routinely collected data from the insurance companies achieve?

et al. 2020

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The complexity and diversity of surgical/interventional vascular medicine necessitate innovative and pragmatic solutions for the valid measurement of the quality of care in the long term. The secondary utilization of routinely collected data from social insurance institutions has increasingly become the focus of interdisciplinary medicine over the years. Owing to their longitudinal linkage and pan-sector generation, routinely collected data make it possible to answer important questions and can complement quality development projects with primary registry data. Various guidelines exist for their usage, linkage, and reporting. Studies have shown good validity, especially for endpoints with major clinical relevance. The numerous advantages of routinely collected data face several challenges that require thorough plausibility and validity procedures and distinctive methodological expertise. This review presents a discussion of these advantages and challenges and provides recommendations for starting to use this increasingly important source of data.

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Section: Consensus Recommendations and Guidelines On Routinely Collecmentioning

confidence: 99%

Quality of care in surgical/interventional vascular medicine: what can routinely collected data from the insurance companies achieve?

et al. 2020

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“…However, with the commencement of the General Data Protection Regulation (GDPR, German: Datenschutzgrundverordnung DSGVO) on 25 May 2018, the latter mitigation is not provided any more [16]. Methodological guidance for the realization of data linkage with regard to the current data protection regulations is published in Good Practice Data Linkage [17]. (2) The regulatory measures to get access to primary data concern a) access to the individuals for primary data collection and b) the collection and linkage of the data themselves.…”

Section: A) Regulatory Measures In Advance To Get Data Accessmentioning

confidence: 99%

Individual-Level Linkage of Primary and Secondary Data from Three Sources for Comprehensive Analyses of Low Birthweight Effects

et al. 2020

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Aim of the study The linkage of primary and secondary data is becoming an increasingly popular approach in healthcare research, but involves some challenges for all involved parties, for example due to data protection requirements. The aim of this article is to systematically outline the methods used and experiences made during a cohort study in the field of pediatric health care research (EcoCare-PIn) that involved access to and linkage of three different data sources. Particular focus is placed on the necessary regulatory measures with regard to data access and data linkage as well as on data validation to ensure a correct linkage. Methods While complying with all relevant data protection requirements, the study realized an individual-level linkage of a) pseudonymized administrative health insurance data from a statutory health insurance on Saxon children born between 2007 and 2013, b) primary data collected via postal questionnaires from parents/caregivers and c) medical data from kindergarten- and school-entry-examinations of Saxon health authorities. The fundamental principle of the concept of data linkage was to strictly separate the sites of data collection and data analysis, which was realized through the involvement of a trust center. Results Challenges especially pertained to the extensive regulatory pre-requirements for data access as well as to data protection requirements while performing the study. Technical aspects and data validation also required a considerable share of attention and resources. A number of validation routines were applied to avoid incorrect data linkage and to ensure the high quality of the final dataset. Data validation included both plausibility checks within the primary data and consistency checks of information given in primary and secondary data. Conclusion The linkage of primary and secondary data on the individual level offers great opportunities for using the strengths of different data sources synergistically and overcoming some of their limitations. Statutory health insurance data and medical data from kindergarten- and school-entry-examinations of Saxon health authorities are examples of already existing data sources that can complement cost-consuming primary data collections by valuable data sets and open up opportunities for longitudinal analysis.

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“…Ein besonderes Augenmerk liegt auf dem individuellen Datenlinkage verschiedener Sekundärdatenquellen untereinander und/oder mit Primärdaten. Dieser methodische Zugang hat nicht erst seit der Bestandsaufnahme zum Datenlinkage in Deutschland [1] und der Veröffentlichung der Guten Praxis Datenlinkage [2] Die hier und im vorgehenden Sonderheft präsentierten Lösungsansätze für relevante und häufig auftretende methodische Herausforderungen bei Sekundärdatenanalysen können die Beschäftigung mit Grundlagenwerken und Standards der Sekundärdatenanalyse nicht ersetzen [3][4][5], sodass sie als Ergänzung dazu zu verstehen sind. Wir wünschen nun allen Leserinnen und Lesern eine erkenntnisreiche Lektüre, unabhängig davon, ob sie erfahren auf dem Feld der Sekundärdatenanalyse oder erst in jüngerer Zeit im Rahmen aktueller Forschungsprojekte mit diesen Datenquellen befasst sind.…”

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Sonderheft Methodische Aspekte der Sekundärdatenanalyse

et al. 2020

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Mit dem vorliegenden zweiten Sonderheft zu Datenlinkage und spezifischen Methoden der Sekundärdatenanalyse ergänzen wir die neun Beiträge, die im vorangegangenen Sonderheft methodische Herausforderungen bei der Aufbereitung und Validierung verschiedener Sekundärdatenquellen thematisiert haben. Ein besonderes Augenmerk liegt auf dem individuellen Datenlinkage verschiedener Sekundärdatenquellen untereinander und/oder mit Primärdaten. Dieser methodische Zugang hat nicht erst seit der Bestandsaufnahme zum Datenlinkage in Deutschland 1 und der Veröffentlichung der Guten Praxis Datenlinkage 2 zunehmende Relevanz in der Epidemiologie und Versorgungsforschung erhalten. Daneben werden in diesem Heft aktuelle Ansätze zur Datenvalidierung, zur Kontrollbildung und zur Aufbereitung und Nutzung von Klartextangaben vorgestellt.

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Gute Praxis Datenlinkage (GPD)

Cited by 33 publications

References 36 publications

Quality of care in surgical/interventional vascular medicine: what can routinely collected data from the insurance companies achieve?

Quality of care in surgical/interventional vascular medicine: what can routinely collected data from the insurance companies achieve?

Individual-Level Linkage of Primary and Secondary Data from Three Sources for Comprehensive Analyses of Low Birthweight Effects

Sonderheft Methodische Aspekte der Sekundärdatenanalyse

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