Context, composition and heterogeneity: Using multilevel models in health research

G Moon, Kelvyn Jones, Duncan, Craig

Research output: Contribution to journalArticle (Academic Journal)peer-review

449 Citations (Scopus)

Abstract

This paper considers the use of multilevel models in health research. Attention focuses on the structure and potential of such models and particular consideration is given to their use in elucidating the importance of contextual effects in relation to individual level social and demographic factors in understanding health outcomes, health-related behaviour and health service performance. Four graphical typologies are used to outline the questions that multilevel models can address and the paper illustrates their potential by drawing on published examples in a number of different research areas. (C) 1998 Elsevier Science Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)97-117
Number of pages21
JournalSocial Science and Medicine
Volume46
Issue number1
Publication statusPublished - Jan 1998

Keywords

  • health outcomes
  • health-related behaviour
  • health service performance
  • context
  • multilevel model
  • LONG-TERM ILLNESS
  • REGIONAL VARIATIONS
  • HIERARCHICAL-MODELS
  • IMMUNIZATION UPTAKE
  • IMPROVING APPLICATION
  • ALCOHOL-CONSUMPTION
  • GENERAL-PRACTICE
  • LINEAR-MODELS
  • AREA
  • MORTALITY

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