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dc.contributor.authorBenjamin H. Chien_US
dc.contributor.authorConstantin T. Yiannoutsosen_US
dc.contributor.authorAndrew O. Westfallen_US
dc.contributor.authorJamie E. Newmanen_US
dc.contributor.authorJialun Zhouen_US
dc.contributor.authorCarina Cesaren_US
dc.contributor.authorMartin W.G. Brinkhofen_US
dc.contributor.authorAlbert Mwangoen_US
dc.contributor.authorEric Balestreen_US
dc.contributor.authorGabriela Carriquiryen_US
dc.contributor.authorThira Sirisanthanaen_US
dc.contributor.authorHenri Mukumbien_US
dc.contributor.authorJeffrey N. Martinen_US
dc.contributor.authorAnna Grimsruden_US
dc.contributor.authorMelanie Baconen_US
dc.contributor.authorRodolphe Thiebauten_US
dc.date.accessioned2018-09-04T04:25:45Z-
dc.date.available2018-09-04T04:25:45Z-
dc.date.issued2011-10-01en_US
dc.identifier.issn15491676en_US
dc.identifier.issn15491277en_US
dc.identifier.other2-s2.0-80055033631en_US
dc.identifier.other10.1371/journal.pmed.1001111en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80055033631&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/50172-
dc.description.abstractBackground: Although patient attrition is recognized as a threat to the long-term success of antiretroviral therapy programs worldwide, there is no universal definition for classifying patients as lost to follow-up (LTFU). We analyzed data from health facilities across Africa, Asia, and Latin America to empirically determine a standard LTFU definition. Methods and Findings: At a set "status classification" date, patients were categorized as either "active" or "LTFU" according to different intervals from time of last clinic encounter. For each threshold, we looked forward 365 d to assess the performance and accuracy of this initial classification. The best-performing definition for LTFU had the lowest proportion of patients misclassified as active or LTFU. Observational data from 111 health facilities-representing 180,718 patients from 19 countries-were included in this study. In the primary analysis, for which data from all facilities were pooled, an interval of 180 d (95% confidence interval [CI]: 173-181 d) since last patient encounter resulted in the fewest misclassifications (7.7%, 95% CI: 7.6%-7.8%). A secondary analysis that gave equal weight to cohorts and to regions generated a similar result (175 d); however, an alternate approach that used inverse weighting for cohorts based on variance and equal weighting for regions produced a slightly lower summary measure (150 d). When examined at the facility level, the best-performing definition varied from 58 to 383 d (mean = 150 d), but when a standard definition of 180 d was applied to each facility, only slight increases in misclassification (mean = 1.2%, 95% CI: 1.0%-1.5%) were observed. Using this definition, the proportion of patients classified as LTFU by facility ranged from 3.1% to 45.1% (mean = 19.9%, 95% CI: 19.1%-21.7%). Conclusions: Based on this evaluation, we recommend the adoption of ≥180 d since the last clinic visit as a standard LTFU definition. Such standardization is an important step to understanding the reasons that underlie patient attrition and establishing more reliable and comparable program evaluation worldwide. Please see later in the article for the Editors' Summary.en_US
dc.subjectMedicineen_US
dc.titleUniversal definition of loss to follow-up in HIV treatment programs: A statistical analysis of 111 facilities in Africa, Asia, and Latin Americaen_US
dc.typeJournalen_US
article.title.sourcetitlePLoS Medicineen_US
article.volume8en_US
article.stream.affiliationsUniversity of Alabama at Birminghamen_US
article.stream.affiliationsCentre for Infectious Disease Research in Zambiaen_US
article.stream.affiliationsIndiana University-Purdue University Indianapolisen_US
article.stream.affiliationsRTI Internationalen_US
article.stream.affiliationsUniversity of New South Wales (UNSW) Australiaen_US
article.stream.affiliationsFundacion Huespeden_US
article.stream.affiliationsUniversitat Bernen_US
article.stream.affiliationsZambian Ministry of Healthen_US
article.stream.affiliationsInsermen_US
article.stream.affiliationsUniversidad Peruana Cayetano Heredia, Instituto de Medicina Tropical Alexander von Humboldten_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsAmo-Congoen_US
article.stream.affiliationsUniversity of California, San Franciscoen_US
article.stream.affiliationsUniversity of Cape Townen_US
article.stream.affiliationsNational Institutes of Health, Bethesdaen_US
Appears in Collections:CMUL: Journal Articles

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