Identifying and quantifying variation between healthcare organisations and geographical regions: Using mixed-effects models
dc.contributor.author | Abel, G | |
dc.contributor.author | Elliott, MN | |
dc.date.accessioned | 2019-10-29T11:21:12Z | |
dc.date.issued | 2019-09-18 | |
dc.description.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. | en_GB |
dc.description.sponsorship | Public Health England | en_GB |
dc.identifier.citation | Published online 18 September 2019 | en_GB |
dc.identifier.doi | 10.1136/bmjqs-2018-009165 | |
dc.identifier.uri | http://hdl.handle.net/10871/39367 | |
dc.language.iso | en | en_GB |
dc.publisher | BMJ Publishing Group | en_GB |
dc.rights | © 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. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. | en_GB |
dc.title | Identifying and quantifying variation between healthcare organisations and geographical regions: Using mixed-effects models | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-10-29T11:21:12Z | |
dc.identifier.issn | 2044-5415 | |
dc.description | This is the final version. Available on open access from BMJ Publishing Group via the DOI in this record | en_GB |
dc.identifier.journal | BMJ Quality and Safety | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | en_GB |
dcterms.dateAccepted | 2019-08-13 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-08-13 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-10-29T11:19:38Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-10-29T11:21:16Z | |
refterms.panel | A | en_GB |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © 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.
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.