Literature DB >> 22576993

[Clinical quality measurement in anaesthesia from routine data. Examples of appendectomy and resection of the colon].

B Jüttner1, K Stenger, G Heller, A Krause, C Günster, D Scheinichen.   

Abstract

BACKGROUND: There is no nationwide evaluation of the quality of anaesthesia in Germany. Thus, the aim of this study was to perform analyses using administrative routine data relating to this topic.
METHODS: Nationwide hospital claims data of patients insured with the local healthcare insurance fund (AOK) in the year 2007 were analyzed. Indicators from International Statistical Classification of Diseases and Related Health Problems-10, German modification (ICD-10-GM) diagnosis codes for possible anaesthesia complications were selected.
RESULTS: Based on the present data, it was not possible to validate indicators which can be applied to detect the quality of anaesthesia.
CONCLUSIONS: Administrative data seem to be an appropriated basis for measurement of quality of outcome in anaesthesiology. Further investigations should be performed to include the diagnosis present on admission. Moreover, there is a need for comparing routine data to the standardized data set, known as the "core data set anaesthesia".

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Year:  2012        PMID: 22576993     DOI: 10.1007/s00101-012-2020-6

Source DB:  PubMed          Journal:  Anaesthesist        ISSN: 0003-2417            Impact factor:   1.041


  13 in total

1.  The American Society of Anesthesiologists Closed Claims Project: what have we learned, how has it affected practice, and how will it affect practice in the future?

Authors:  F W Cheney
Journal:  Anesthesiology       Date:  1999-08       Impact factor: 7.892

2.  Laryngeal morbidity and quality of tracheal intubation: a randomized controlled trial.

Authors:  Thomas Mencke; Mathias Echternach; Stefan Kleinschmidt; Philip Lux; Volker Barth; Peter K Plinkert; Thomas Fuchs-Buder
Journal:  Anesthesiology       Date:  2003-05       Impact factor: 7.892

3.  Surgical mortality as an indicator of hospital quality: the problem with small sample size.

Authors:  Justin B Dimick; H Gilbert Welch; John D Birkmeyer
Journal:  JAMA       Date:  2004-08-18       Impact factor: 56.272

Review 4.  [Measurement of medical outcome quality using administative data in Germany].

Authors:  G Heller
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2008-10       Impact factor: 1.513

5.  Pushing quality in health care management.

Authors:  T Mansky; M Heberer; J Klauber
Journal:  Dtsch Med Wochenschr       Date:  2009-11-10       Impact factor: 0.628

6.  [Glossary on patient safety -- a contribution to on-target-definition and to appreciate the subjects of "patient safety"].

Authors:  C Thomeczek; W Bock; D Conen; A Ekkernkamp; D Everz; G Fischer; F Gerlach; B Gibis; E Gramsch; G Jonitz; R Klakow-Frank; U Oesingmann; H-D Schirmer; U Smentkowski; M Ziegler; G Ollenschläger
Journal:  Gesundheitswesen       Date:  2004-12

Review 7.  [Postoperative cognitive dysfunction].

Authors:  K Engelhard; C Werner
Journal:  Anaesthesist       Date:  2005-06       Impact factor: 1.041

8.  Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models.

Authors:  Paul Aylin; Alex Bottle; Azeem Majeed
Journal:  BMJ       Date:  2007-04-23

9.  [Are quality indicators derived from routine data suitable for evaluating hospital performance? First results using the AHRQ patient safety indicators in Germany].

Authors:  Saskia E Drösler; Andre Cools; Thilo Köpfer; Jürgen Stausberg
Journal:  Z Arztl Fortbild Qualitatssich       Date:  2007

10.  [Annual patient volume and survival of very low birth weight infants (VLBWs) in Germany--a nationwide analysis based on administrative data].

Authors:  G Heller; C Günster; B Misselwitz; A Feller; S Schmidt
Journal:  Z Geburtshilfe Neonatol       Date:  2007-06       Impact factor: 0.685

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