Multilevel models: application to health data

Rice, N. and Leyland, A. (1996) Multilevel models: application to health data. Journal of Health Services Research and Policy, 1(3), pp. 154-164.

Abstract

This paper presents an introductory account of multilevel models, highlighting the potential benefits that may be gained by the use of these methods. It draws on recent applications in health services research that have appeared in the literature. Methodological advances in these statistical techniques have taken place in the field of education, where empirical studies have mainly been concerned with comparing pupil achievement across different schools by exploring the relationship between individual and institutional factors. Although recent widespread availability of suitable software packages has enabled other disciplines to adopt these methods, to date they have received little attention in the health services research literature (the investigation of effects of geographical areas on health being a possible exception) despite their obvious application in many areas of current interest. Key areas that could benefit greatly from these techniques include the exploration of variations in clinical practice, comparisons of institutional performance and resource allocation.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Leyland, Professor Alastair
• Authors: Rice, N., and Leyland, A.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
• Journal Name: Journal of Health Services Research and Policy
• Journal Abbr.: J Health Serv Res Pol
• ISSN: 1355-8196
• ISSN (Online): 1758-1060