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[Quality measurement using administrative data in mandatory quality assurance].
Z Evid Fortbild Qual Gesundhwes. 2014; 108(8-9):465-9.ZE

Abstract

For several years, the use of administrative data in mandatory quality measurement has been requested by several stakeholders in Germany. Main advantages of using administrative data include the reduction of documentary expenditures and the possibility to perform longitudinal quality analyses across different healthcare units. After a short introduction, a brief overview of the current use of administrative data for mandatory quality assurance as well as current developments is given, which will then be further exemplified by decubital ulcer prophylaxis. By using administrative data coding expenditures in this clinical area could be reduced by nine million data fields. At the same time the population analysed was expanded resulting in a more than tenfold increase in potentially quality-relevant events. Finally, perspectives, further developments, possibilities as well as limits of quality measurement with administrative data are discussed.

Authors+Show Affiliations

AQUA - Institut für angewandte Qualitätsförderung und Forschung im Gesundheitswesen GmbH Göttingen, Deutschland. Electronic address: guenther.heller@aqua-institut.de.AQUA - Institut für angewandte Qualitätsförderung und Forschung im Gesundheitswesen GmbH Göttingen, Deutschland; Universitätsklinikum Heidelberg, Abteilung Allgemeinmedizin und Versorgungsforschung, Heidelberg, Deutschland.AQUA - Institut für angewandte Qualitätsförderung und Forschung im Gesundheitswesen GmbH Göttingen, Deutschland.AQUA - Institut für angewandte Qualitätsförderung und Forschung im Gesundheitswesen GmbH Göttingen, Deutschland.

Pub Type(s)

English Abstract
Journal Article

Language

ger

PubMed ID

25523844

Citation

Heller, Günther, et al. "[Quality Measurement Using Administrative Data in Mandatory Quality Assurance]." Zeitschrift Fur Evidenz, Fortbildung Und Qualitat Im Gesundheitswesen, vol. 108, no. 8-9, 2014, pp. 465-9.
Heller G, Szecsenyi J, Willms G, et al. [Quality measurement using administrative data in mandatory quality assurance]. Z Evid Fortbild Qual Gesundhwes. 2014;108(8-9):465-9.
Heller, G., Szecsenyi, J., Willms, G., & Broge, B. (2014). [Quality measurement using administrative data in mandatory quality assurance]. Zeitschrift Fur Evidenz, Fortbildung Und Qualitat Im Gesundheitswesen, 108(8-9), 465-9. https://doi.org/10.1016/j.zefq.2014.09.010
Heller G, et al. [Quality Measurement Using Administrative Data in Mandatory Quality Assurance]. Z Evid Fortbild Qual Gesundhwes. 2014;108(8-9):465-9. PubMed PMID: 25523844.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Quality measurement using administrative data in mandatory quality assurance]. AU - Heller,Günther, AU - Szecsenyi,Joachim, AU - Willms,Gerald, AU - Broge,Björn, Y1 - 2014/10/25/ PY - 2014/07/15/received PY - 2014/09/22/revised PY - 2014/09/22/accepted PY - 2014/12/20/entrez PY - 2014/12/20/pubmed PY - 2015/10/20/medline KW - Dekubitusprophylaxe KW - Gemeinsamer Bundesausschuss KW - Joint Federal Committee KW - Quality assurance KW - Qualitätsmessung KW - Qualitätssicherung KW - Routinedaten KW - administrative data KW - pressure ulcer prevention KW - quality measurement SP - 465 EP - 9 JF - Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen JO - Z Evid Fortbild Qual Gesundhwes VL - 108 IS - 8-9 N2 - For several years, the use of administrative data in mandatory quality measurement has been requested by several stakeholders in Germany. Main advantages of using administrative data include the reduction of documentary expenditures and the possibility to perform longitudinal quality analyses across different healthcare units. After a short introduction, a brief overview of the current use of administrative data for mandatory quality assurance as well as current developments is given, which will then be further exemplified by decubital ulcer prophylaxis. By using administrative data coding expenditures in this clinical area could be reduced by nine million data fields. At the same time the population analysed was expanded resulting in a more than tenfold increase in potentially quality-relevant events. Finally, perspectives, further developments, possibilities as well as limits of quality measurement with administrative data are discussed. SN - 2212-0289 UR - https://www.unboundmedicine.com/medline/citation/25523844/[Quality_measurement_using_administrative_data_in_mandatory_quality_assurance]_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1865-9217(14)00201-3 DB - PRIME DP - Unbound Medicine ER -