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Identifying and quantifying variation between healthcare organisations and geographical regions: using mixed-effects models.
- Source :
-
BMJ quality & safety [BMJ Qual Saf] 2019 Dec; Vol. 28 (12), pp. 1032-1038. Date of Electronic Publication: 2019 Sep 18. - Publication Year :
- 2019
-
Abstract
- When the degree of variation between healthcare organisations or geographical regions is quantified, there is often a failure to account for the role of chance, which can lead to an overestimation of the true variation. Mixed-effects models account for the role of chance and estimate the true/underlying variation between organisations or regions. In this paper, we explore how a random intercept model can be applied to rate or proportion indicators and how to interpret the estimated variance parameter.<br />Competing Interests: Competing interests: None declared.<br /> (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Details
- Language :
- English
- ISSN :
- 2044-5423
- Volume :
- 28
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- BMJ quality & safety
- Publication Type :
- Academic Journal
- Accession number :
- 31533954
- Full Text :
- https://doi.org/10.1136/bmjqs-2018-009165