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dc.contributor.authorHedt-Gauthier, Bethany L
dc.contributor.authorTenthani, Lyson
dc.contributor.authorMitchell, Shira Arkin
dc.contributor.authorChimbwandira, Frank M
dc.contributor.authorMakombe, Simon
dc.contributor.authorChirwa, Zengani
dc.contributor.authorSchouten, Erik J
dc.contributor.authorPagano, Marcello
dc.contributor.authorJahn, Andreas
dc.date.accessioned2013-03-26T20:00:09Z
dc.date.issued2012
dc.identifier.citationHedt-Gauthier, Bethany L, Lyson Tenthani, Shira Mitchell, Frank M Chimbwandira, Simon Makombe, Zengani Chirwa, Erik J Schouten, Marcello Pagano, and Andreas Jahn. 2012. Improving data quality and supervision of antiretroviral therapy sites in Malawi: an application of lot quality assurance sampling. BMC Health Services Research 12:196.en_US
dc.identifier.issn1472-6963en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10466000
dc.description.abstractBackground: High quality program data is critical for managing, monitoring, and evaluating national HIV treatment programs. By 2009, the Malawi Ministry of Health had initiated more than 270,000 patients on HIV treatment at 377 sites. Quarterly supervision of these antiretroviral therapy (ART) sites ensures high quality care, but the time currently dedicated to exhaustive record review and data cleaning detracts from other critical components. The exhaustive record review is unlikely to be sustainable long term because of the resources required and increasing number of patients on ART. This study quantifies the current levels of data quality and evaluates Lot Quality Assurance Sampling (LQAS) as a tool to prioritize sites with low data quality, thus lowering costs while maintaining sufficient quality for program monitoring and patient care. Methods: In January 2010, a study team joined supervision teams at 19 sites purposely selected to reflect the variety of ART sites. During the exhaustive data review, the time allocated to data cleaning and data discrepancies were documented. The team then randomly sampled 76 records from each site, recording secondary outcomes and the time required for sampling. Results: At the 19 sites, only 1.2% of records had discrepancies in patient outcomes and 0.4% in treatment regimen. However, data cleaning took 28.5 hours in total, suggesting that data cleaning for all 377 ART sites would require over 350 supervision-hours quarterly. The LQAS tool accurately identified the sites with the low data quality, reduced the time for data cleaning by 70%, and allowed for reporting on secondary outcomes. Conclusions: Most sites maintained high quality records. In spite of this, data cleaning required significant amounts of time with little effect on program estimates of patient outcomes. LQAS conserves resources while maintaining sufficient data quality for program assessment and management to allow for quality patient care.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofdoi:10.1186/1472-6963-12-196en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411464/pdf/en_US
dash.licenseLAA
dc.titleImproving data quality and supervision of antiretroviral therapy sites in Malawi: an application of Lot Quality Assurance Samplingen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBMC Health Services Researchen_US
dash.depositing.authorPagano, Marcello
dc.date.available2013-03-26T20:00:09Z
dc.identifier.doi10.1186/1472-6963-12-196*
dash.contributor.affiliatedPagano, Marcello
dash.contributor.affiliatedMitchell, Shira Arkin


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