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dc.contributor.authorRhodes, Corinne M.en_US
dc.contributor.authorChang, Yuchiaoen_US
dc.contributor.authorRegan, Susanen_US
dc.contributor.authorSinger, Daniel E.en_US
dc.contributor.authorTriant, Virginia A.en_US
dc.date.accessioned2017-06-15T18:31:41Z
dc.date.issued2017en_US
dc.identifier.citationRhodes, Corinne M., Yuchiao Chang, Susan Regan, Daniel E. Singer, and Virginia A. Triant. 2017. “Human Immunodeficiency Virus (HIV) Quality Indicators Are Similar Across HIV Care Delivery Models.” Open Forum Infectious Diseases 4 (1): ofw240. doi:10.1093/ofid/ofw240. http://dx.doi.org/10.1093/ofid/ofw240.en
dc.identifier.issnen
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:33030006
dc.description.abstractAbstract Background. There are limited data on human immunodeficiency virus (HIV) quality indicators according to model of HIV care delivery. Comparing HIV quality indicators by HIV care model could help inform best practices because patients achieving higher levels of quality indicators may have a mortality benefit. Methods. Using the Partners HIV Cohort, we categorized 1565 patients into 3 HIV care models: infectious disease provider only (ID), generalist only (generalist), or infectious disease provider and generalist (ID plus generalist). We examined 12 HIV quality indicators used by 5 major medical and quality associations and grouped them into 4 domains: process, screening, immunization, and HIV management. We used generalized estimating equations to account for most common provider and multivariable analyses adjusted for prespecified covariates to compare composite rates of HIV quality indicator completion. Results. We found significant differences between HIV care models, with the ID plus generalists group achieving significantly higher quality measures than the ID group in HIV management (94.4% vs 91.7%, P = .03) and higher quality measures than generalists in immunization (87.8% vs 80.6%, P = .03) in multivariable adjusted analyses. All models achieved rates that equaled or surpassed previously reported quality indicator rates. The absolute differences between groups were small and ranged from 2% to 7%. Conclusions. Our results suggest that multiple HIV care models are effective with respect to HIV quality metrics. Factors to consider when determining HIV care model include healthcare setting, feasibility, and physician and patient preference.en
dc.language.isoen_USen
dc.publisherOxford University Pressen
dc.relation.isversionofdoi:10.1093/ofid/ofw240en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414087/pdf/en
dash.licenseLAAen_US
dc.subjectEditor's Choiceen
dc.subjectHIVen
dc.subjectprimary care modelsen
dc.subjectquality indicators.en
dc.titleHuman Immunodeficiency Virus (HIV) Quality Indicators Are Similar Across HIV Care Delivery Modelsen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalOpen Forum Infectious Diseasesen
dash.depositing.authorRhodes, Corinne M.en_US
dc.date.available2017-06-15T18:31:41Z
dc.identifier.doi10.1093/ofid/ofw240*
dash.contributor.affiliatedRhodes, Corinne M.
dash.contributor.affiliatedTriant, Virginia
dash.contributor.affiliatedSinger, Daniel
dash.contributor.affiliatedRegan, Susan
dash.contributor.affiliatedChang, Yuchiao


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