Literature DB >> 25971608

[The validity of routine data on quality assurance: A qualitative systematic review].

E Hanisch1, T F Weigel2, A Buia3, H-P Bruch4.   

Abstract

BACKGROUND: The assessment of the quality of medical practice is a legitimate requirement by society. Reliable methods for measurement of the quality of performance are sought worldwide. Quality is often quantified by using administrative data and in Germany this method has been implemented by the health insurance company AOK.
OBJECTIVES: (1) How is the AOK quality system rated by senior consultant surgeons? (2) How valid are quality statements derived from administrative data?
METHODS: This article was compiled following the PRISMA (i.e. preferred reporting items for systematic reviews and meta-analyses) statement for qualitative systematic reviews. In order to answer the first question the Professional Association of German Surgeons (Berufsverband der Deutschen Chirurgen) initiated two surveys and to answer the second question a structured literature search following the PICO (i.e. patient problem or population, intervention, comparison control or comparator and outcomes) format was initiated. In addition numerous websites were contacted.
RESULTS: Of the responding senior consultant surgeons 95% considered that the AOK method of quality measurement by administrative data is not objective. One third was definitely wrongly classified. The literature search revealed that no validation data exist for the AOK indicators, including the Elixhauser comorbidity risk score. Altogether, the sensitivity of indicators is poor when good sensitivity is defined by the Institute for Applied Quality Improvement and Research in Health Care (AQUA Institute) as ≥ 80 < 90%.
CONCLUSIONS: Quality statements resulting from administrative data alone are unreliable.

Entities:  

Keywords:  AOK quality system; Administrative data; Medical performance; Quality assurance; Validity

Mesh:

Year:  2016        PMID: 25971608     DOI: 10.1007/s00104-015-0012-1

Source DB:  PubMed          Journal:  Chirurg        ISSN: 0009-4722            Impact factor:   0.955


  32 in total

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Authors:  P S Romano; L L Roos; H S Luft; J G Jollis; K Doliszny
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6.  Validity of selected Patient Safety Indicators: opportunities and concerns.

Authors:  Haytham M A Kaafarani; Ann M Borzecki; Kamal M F Itani; Susan Loveland; Hillary J Mull; Kathleen Hickson; Sally Macdonald; Marlena Shin; Amy K Rosen
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7.  Detecting postoperative hemorrhage or hematoma from administrative data: the performance of the AHRQ Patient Safety Indicator.

Authors:  Garth H Utter; Patricia A Zrelak; Ruth Baron; Daniel J Tancredi; Banafsheh Sadeghi; Jeffrey J Geppert; Patrick S Romano
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8.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
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9.  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

10.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

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