Performance assessment as an application of causal inference
File(s)Compa4.pdf (347.54 KB)
Accepted version
Author(s)
Longford, Nicholas
Type
Journal Article
Abstract
Institutions in health care, education and other public services are under constantpressure to perform to high standards and with efficiency. Assessment of theirperformance is often problematic because it either ignoresimportant backgroundvariables of their patients, students or clients (the case-mix), or adjusts for themin a way that is not equitable or transparent. We apply a methodof indirectstandardisationmotivated by the potential outcomes framework, in which weconsider the hypothetical scenario of an institution’s caseload being dispersed fortreatment throughout the domain of assessment (the country’s institutions). Thetarget of estimation is the difference of the means of the outcomes in the realisedand hypothetical settings. The method is applied to estimating the prevalenceof bronchopulmonary dysplasia (BPD) in extremely preterm-born infants in theneonatal units and their networks in Great Britain in 2017. The prevalence ofBPD is an audit measure in the UK National Neonatal Audit Programme.
Date Issued
2020-10-01
Date Acceptance
2019-09-27
Citation
Journal of the Royal Statistical Society Series A: Statistics in Society, 2020, 183 (4), pp.1363-1385
ISSN
0964-1998
Publisher
Wiley
Start Page
1363
End Page
1385
Journal / Book Title
Journal of the Royal Statistical Society Series A: Statistics in Society
Volume
183
Issue
4
Copyright Statement
© 2019 Royal Statistical Society. This is the accepted version of the following article: Longford, N.T. (2020), Performance assessment as an application of causal inference. J. R. Stat. Soc. A, 183: 1363-1385, which has been published in final form at https://doi.org/10.1111/rssa.12529
Subjects
0104 Statistics
1403 Econometrics
1603 Demography
Statistics & Probability
Publication Status
Published
Date Publish Online
2019-10-29