Document Detail


Data linkage reduces loss to follow-up in an observational HIV cohort study.
MedLine Citation:
PMID:  20347263     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
OBJECTIVE: To ascertain the degree of loss to follow-up in a cohort and to identify its predictors. STUDY DESIGN AND SETTING: Human immunodeficiency virus (HIV)-infected individuals without CD4 cell counts for a year or more were defined as potentially lost to follow-up (LFU). Multivariable Poisson regression models identified the risk factors for potential LFU. Multivariable logistic regression models compared demographic and clinical characteristics of those who returned for care and those permanently LFU. RESULTS: Of 16,595 patients under follow-up, 43.6% were potentially LFU at least once. Of these, 39.8% were considered permanently LFU and 60.2% were seen again after 1 year. Of 9,766 episodes when patients were potentially LFU, 59% resulted in the patient returning for care at the same clinic or at a different clinic. Compared with those permanently LFU, patients returning were more likely to have started highly active antiretroviral therapy, to have higher CD4 counts and viral loads, to be younger, and to have had more CD4 tests before LFU. They were less likely to have had a previous episode of potential LFU. CONCLUSIONS: A substantial proportion of patients in the UK Collaborative HIV Cohort study are potentially LFU. Data linkage identifies patients returning for care at different centers. Recognition of factors associated with LFU may help reduce this important source of bias in observational databases.
Authors:
Teresa Hill; Loveleen Bansi; Caroline Sabin; Andrew Phillips; David Dunn; Jane Anderson; Philippa Easterbrook; Martin Fisher; Brian Gazzard; Richard Gilson; Margaret Johnson; Clifford Leen; Chloe Orkin; Achim Schwenk; John Walsh; Alan Winston; Abdel Babiker; Valerie Delpech;
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-03-29
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  63     ISSN:  1878-5921     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-08-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1101-9     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2010 Elsevier Inc. All rights reserved.
Affiliation:
Research Department of Infection and Population Health, UCL Medical School, London, UK. teresa.hill@ucl.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
G0000199//Medical Research Council; G0600337//Medical Research Council
Investigator
Investigator/Affiliation:
Jonathan Ainsworth / ; Jane Anderson / ; Abdel Babiker / ; David Dunn / ; Philippa Easterbrook / ; Martin Fisher / ; Brian Gazzard / ; Richard Gilson / ; Mark Gompels / ; Teresa Hill / ; Margaret Johnson / ; Clifford Leen / ; Chloe Orkin / ; Andrew Phillips / ; Deenan Pillay / ; Kholoud Porter / ; Caroline Sabin / ; Tariq Sadiq / ; Achim Schwenk / ; Nicky Mackie / ; Alan Winston / ; John Walsh / ; Valerie Delpech / ; David Dunn / ; Kholoud Porter / ; Stephen Sheehan / ; Loveleen Bansi / ; Teresa Hill / ; Andrew Phillips / ; Caroline Sabin / ; Chloe Orkin / ; Kevin Jones / ; Rachel Thomas / ; Martin Fisher / ; Nicky Perry / ; Anthony Pullin / ; Duncan Churchill / ; Wendy Harris / ; Brian Gazzard / ; Steve Bulbeck / ; Sundhiya Mandalia / ; Jemima Clarke / ; Valerie Delpech / ; Jane Anderson / ; Selina Gann / ; Philippa Easterbrook / ; Yasar Khan / ; Fatimah Karim / ; Eghosa Bazuaye / ; Stephen Duffell / ; Abdel Babiker / ; David Dunn / ; Kholoud Porter / ; Stephen Sheehan / ; Richard Gilson / ; Julie Dodds / ; Shuk-Li Man / ; Ian Williams / ; Achim Schwenk / ; Margaret Johnson / ; Mike Youle / ; Fiona Lampe / ; Colette Smith / ; Helen Grabowska / ; Clinton Chaloner / ; Dewi Ismajani Puradiredja / ; Loveleen Bansi / ; Teresa Hill / ; Andrew Phillips / ; Caroline Sabin / ; John Walsh / ; Alan Winston / ; Jonathan Weber / ; Christian Kemble / ; Mark Carder / ; Clifford Leen / ; Alan Wilson /

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