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Clinic-level variations in contact tracing outcomes: protocol for a cross-sectional study of variation and case-mix adjustment in London, UK

Lewer, D; Tamne, S; Nicholas, O; Anderson, C; Story, A; (2019) Clinic-level variations in contact tracing outcomes: protocol for a cross-sectional study of variation and case-mix adjustment in London, UK. UCL Collaborative Centre for Inclusion Health: London, UK. Green open access

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Abstract

Contact tracing around patients with infectious tuberculosis is used to identify further cases and interrupt transmission. Approaches to contact tracing are thought to vary between different clinical teams, but the extent of this variation and the importance of case mix are unknown. This project will use data from the London Tuberculosis Register to analyse the extent of variation in the number of contacts identified and the proportion that are assessed/screened, and use hierarchical modelling to test whether differences in case-mix explain any variation.

Type: Report
Title: Clinic-level variations in contact tracing outcomes: protocol for a cross-sectional study of variation and case-mix adjustment in London, UK
Open access status: An open access version is available from UCL Discovery
DOI: 10.14324/000.rp.10076891
Publisher version: https://doi.org/10.14324/000.rp.10076891
Language: English
Keywords: Tuberculosis, Contact tracing, Public health
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10076891
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