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2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection

BACKGROUND: Clinicians often encounter patients requiring simultaneous treatment for both HIV and HCV. Although several resources help clinicians identify potential drug interactions, these resources do not account for other factors that should be considered when selecting HIV and HCV regimens, such...

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Autores principales: Naggie, Susanna, Sulkowski, Mark, Schulz, Jenny, King, Edward, Schwartz, Zachary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810677/
http://dx.doi.org/10.1093/ofid/ofz360.2227
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author Naggie, Susanna
Sulkowski, Mark
Schulz, Jenny
King, Edward
Schwartz, Zachary
author_facet Naggie, Susanna
Sulkowski, Mark
Schulz, Jenny
King, Edward
Schwartz, Zachary
author_sort Naggie, Susanna
collection PubMed
description BACKGROUND: Clinicians often encounter patients requiring simultaneous treatment for both HIV and HCV. Although several resources help clinicians identify potential drug interactions, these resources do not account for other factors that should be considered when selecting HIV and HCV regimens, such as renal function, HLA-B*5701 status, and HCV genotype. We developed an online decision support tool based on HIV and HCV guideline recommendations. We report data comparing guideline recommendations with the initial treatment plans of clinicians using the tool. METHODS: In May 2018, American Association for the Study of Liver Diseases (AASLD)/IDSA and DHHS treatment recommendations were applied to 304 unique HIV/HCV coinfection case scenarios based on a simplified set of patient variables: current ART/HCV therapy, HIV and HCV genotypes, liver histology, renal function, HLA-B*5701 status. We then developed an online decision support tool that enables clinicians to specify a patient scenario using these variables. After clinicians select their currently intended HIV and HCV treatment from among the guideline-recommended first-line options, guideline recommendations for that specific patient case are shown, and clinicians are asked if this information changed their treatment plan. RESULTS: From August 2018 to March 2019, 505 participants (n = 303 ID/HIV, n = 68 hepatology/GI, n = 58 IM/FP/GP/addiction, n = 76 other; n = 229 North America, n = 118 Europe) entered 694 patient case scenarios in the HIV/HCV coinfection tool. In 36% of patient case scenarios (248/694), clinicians were unsure or were planning a treatment not recommended by guidelines. All treatment choices that were inconsistent with guidelines are shown in the table. Not all clinicians self-identified the impact of the tool, but in the subset of 174 patient case scenarios where they did, 47 identified their initial treatment plan as different from the guidelines. Of these, 32% (15/47) changed their treatment plan based on the recommendations, 40% (19/47) had barriers to implementing the recommendations, 23% (11/47) were still undecided, 4% (2/47) disagreed with the recommendations. CONCLUSION: This online treatment decision support tool shows substantial variability between clinicians’ treatment plans and HIV and HCV treatment guidelines for 36% of case scenarios. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68106772019-10-28 2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection Naggie, Susanna Sulkowski, Mark Schulz, Jenny King, Edward Schwartz, Zachary Open Forum Infect Dis Abstracts BACKGROUND: Clinicians often encounter patients requiring simultaneous treatment for both HIV and HCV. Although several resources help clinicians identify potential drug interactions, these resources do not account for other factors that should be considered when selecting HIV and HCV regimens, such as renal function, HLA-B*5701 status, and HCV genotype. We developed an online decision support tool based on HIV and HCV guideline recommendations. We report data comparing guideline recommendations with the initial treatment plans of clinicians using the tool. METHODS: In May 2018, American Association for the Study of Liver Diseases (AASLD)/IDSA and DHHS treatment recommendations were applied to 304 unique HIV/HCV coinfection case scenarios based on a simplified set of patient variables: current ART/HCV therapy, HIV and HCV genotypes, liver histology, renal function, HLA-B*5701 status. We then developed an online decision support tool that enables clinicians to specify a patient scenario using these variables. After clinicians select their currently intended HIV and HCV treatment from among the guideline-recommended first-line options, guideline recommendations for that specific patient case are shown, and clinicians are asked if this information changed their treatment plan. RESULTS: From August 2018 to March 2019, 505 participants (n = 303 ID/HIV, n = 68 hepatology/GI, n = 58 IM/FP/GP/addiction, n = 76 other; n = 229 North America, n = 118 Europe) entered 694 patient case scenarios in the HIV/HCV coinfection tool. In 36% of patient case scenarios (248/694), clinicians were unsure or were planning a treatment not recommended by guidelines. All treatment choices that were inconsistent with guidelines are shown in the table. Not all clinicians self-identified the impact of the tool, but in the subset of 174 patient case scenarios where they did, 47 identified their initial treatment plan as different from the guidelines. Of these, 32% (15/47) changed their treatment plan based on the recommendations, 40% (19/47) had barriers to implementing the recommendations, 23% (11/47) were still undecided, 4% (2/47) disagreed with the recommendations. CONCLUSION: This online treatment decision support tool shows substantial variability between clinicians’ treatment plans and HIV and HCV treatment guidelines for 36% of case scenarios. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6810677/ http://dx.doi.org/10.1093/ofid/ofz360.2227 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Naggie, Susanna
Sulkowski, Mark
Schulz, Jenny
King, Edward
Schwartz, Zachary
2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection
title 2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection
title_full 2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection
title_fullStr 2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection
title_full_unstemmed 2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection
title_short 2549. Variance Between Clinicians and Guidelines in Management of HIV/HCV Coinfection
title_sort 2549. variance between clinicians and guidelines in management of hiv/hcv coinfection
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810677/
http://dx.doi.org/10.1093/ofid/ofz360.2227
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