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

Peters, F.

Kreutzburg, T.

Kuchenbecker, J.

Marschall, U.

Remmel, M.

Dankhoff, M.

Trute, H.‐H.

Repgen, T.

Debus, E. S.

Behrendt, C.-A.

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Name

Value

Titel

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

Titelzusatz

Behandlungsqualität in der operativ-interventionellen Gefäßmedizin – was können Routinedaten der Krankenkassen leisten? Englische Version

Autor/in

Erscheinungsjahr

2020

Publikationstyp

Artikel |

Online veröffentlicht

2020-08-12

Erschienen in

http://lobid.org/resources/99370673524306441#! |

Quellenangabe

25(Suppl 1):19-28

Copyrightjahr

2020

Lizenz

https://creativecommons.org/licenses/by/4.0/ |

Verlagsversion

https://doi.org/10.1007/s00772-020-00679-4 |

Publikationsstatus

Postprint Verlagsversion |

Sprache der Publikation

Englisch |

Abstract/Summary

<jats:title>Abstract</jats:title><jats:p>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.</jats:p>

Sacherschließung

lokal	Health research
lokal	Validity
lokal	Routinely collected data
lokal	Validität
lokal	Administrative Daten
lokal	Qualitätsindikatoren
lokal	Routinedaten
lokal	Übersichten
lokal	Quality indicators
lokal	Versorgungsforschung
lokal	Administrative data

Liste der Beteiligten

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Hinweis

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