Ansmann, L., Kuhr, K. and Kowalski, C. (2017). Multilevel Analysis in Health Services Research in Healthcare Organizations: Benefits, Requirements and Implementation. Gesundheitswesen, 79 (3). S. 203 - 210. STUTTGART: GEORG THIEME VERLAG KG. ISSN 1439-4421

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Abstract

Multilevel Analysis (MLA) are still rarely used in Health Services Research in Germany, though hierarchical data, e.g. from patients clustered in hospitals, is often present. MLA provide the valuable opportunity to study the health care context in health care organizations and the associations between context and health care outcomes. This article's aims are to introduce this particular method of data analysis, to discuss its' benefits and its' applicability particularly for Health Services Research focusing on organizational characteristics and to provide a concise guideline for performing the analysis. First, the benefits and the necessity for MLA compared to ordinary correlation analyses in the case of hierarchical data are discussed. Furthermore, the statistical requirements and key decisions for the performance of MLA are illustrated.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Ansmann, L.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kuhr, K.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kowalski, C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-237073
DOI: 10.1055/s-0042-102882
Journal or Publication Title: Gesundheitswesen
Volume: 79
Number: 3
Page Range: S. 203 - 210
Date: 2017
Publisher: GEORG THIEME VERLAG KG
Place of Publication: STUTTGART
ISSN: 1439-4421
Language: German
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
QUALITY-OF-LIFE; STANDARD ERRORS; MODELS; EXAMPLEMultiple languages
Public, Environmental & Occupational HealthMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/23707

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