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Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics

INTRODUCTION: Prevention of tuberculosis disease through diagnosis and treatment of latent tuberculosis infection is critical for achieving tuberculosis elimination in the U.S. Diagnosis and treatment of latent tuberculosis infection in safety-net primary care settings that serve patients at risk fo...

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Autores principales: Vonnahme, Laura A., Raykin, Julia, Jones, Matthew, Oakley, Jee, Puro, Jon, Langer, Adam, Aiona, Kaylynn, Belknap, Robert, Ayers, Tracy, Todd, Jonathan, Winglee, Kathryn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630620/
https://www.ncbi.nlm.nih.gov/pubmed/37941821
http://dx.doi.org/10.1016/j.focus.2023.100148
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author Vonnahme, Laura A.
Raykin, Julia
Jones, Matthew
Oakley, Jee
Puro, Jon
Langer, Adam
Aiona, Kaylynn
Belknap, Robert
Ayers, Tracy
Todd, Jonathan
Winglee, Kathryn
author_facet Vonnahme, Laura A.
Raykin, Julia
Jones, Matthew
Oakley, Jee
Puro, Jon
Langer, Adam
Aiona, Kaylynn
Belknap, Robert
Ayers, Tracy
Todd, Jonathan
Winglee, Kathryn
author_sort Vonnahme, Laura A.
collection PubMed
description INTRODUCTION: Prevention of tuberculosis disease through diagnosis and treatment of latent tuberculosis infection is critical for achieving tuberculosis elimination in the U.S. Diagnosis and treatment of latent tuberculosis infection in safety-net primary care settings that serve patients at risk for tuberculosis may increase uptake of this prevention effort and accelerate progress toward elimination. Optimizing tuberculosis prevention in these settings requires measuring the latent tuberculosis infection care cascade (testing, diagnosis, and treatment) and identifying gaps to develop solutions to overcome barriers. We used electronic health record data to describe the latent tuberculosis infection care cascade and identify gaps among a network of safety-net primary care clinics. METHODS: Electronic health record data for patients seen in the OCHIN Clinical Network, the largest network of safety-net clinics in the U.S., between 2012 and 2019 were extracted. electronic health record data were used to measure the latent tuberculosis infection care cascade: patients who met tuberculosis screening criteria on the basis of current recommendations were tested for tuberculosis infection, diagnosed with latent tuberculosis infection, and prescribed treatment for latent tuberculosis infection. Outcomes were stratified by diagnostic test and treatment regimen. RESULTS: Among 1.9 million patients in the analytic cohort, 43.5% met tuberculosis screening criteria, but only 21.4% were tested for latent tuberculosis infection; less than half (40.4%) were tested using an interferon-gamma release assay. Among those with a valid result, 10.5% were diagnosed with latent tuberculosis infection, 29.1% of those were prescribed latent tuberculosis infection treatment, and only 33.6% were prescribed a recommended rifamycin-based regimen. CONCLUSIONS: Electronic health record data can be used to measure the latent tuberculosis infection care cascade. A large proportion of patients in this safety-net clinical network are at high risk for tuberculosis infection. Addressing identified gaps in latent tuberculosis infection testing and treatment may have a direct impact on improving tuberculosis prevention in primary care clinics and accelerate progress toward elimination.
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spelling pubmed-106306202023-11-07 Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics Vonnahme, Laura A. Raykin, Julia Jones, Matthew Oakley, Jee Puro, Jon Langer, Adam Aiona, Kaylynn Belknap, Robert Ayers, Tracy Todd, Jonathan Winglee, Kathryn AJPM Focus Research Article INTRODUCTION: Prevention of tuberculosis disease through diagnosis and treatment of latent tuberculosis infection is critical for achieving tuberculosis elimination in the U.S. Diagnosis and treatment of latent tuberculosis infection in safety-net primary care settings that serve patients at risk for tuberculosis may increase uptake of this prevention effort and accelerate progress toward elimination. Optimizing tuberculosis prevention in these settings requires measuring the latent tuberculosis infection care cascade (testing, diagnosis, and treatment) and identifying gaps to develop solutions to overcome barriers. We used electronic health record data to describe the latent tuberculosis infection care cascade and identify gaps among a network of safety-net primary care clinics. METHODS: Electronic health record data for patients seen in the OCHIN Clinical Network, the largest network of safety-net clinics in the U.S., between 2012 and 2019 were extracted. electronic health record data were used to measure the latent tuberculosis infection care cascade: patients who met tuberculosis screening criteria on the basis of current recommendations were tested for tuberculosis infection, diagnosed with latent tuberculosis infection, and prescribed treatment for latent tuberculosis infection. Outcomes were stratified by diagnostic test and treatment regimen. RESULTS: Among 1.9 million patients in the analytic cohort, 43.5% met tuberculosis screening criteria, but only 21.4% were tested for latent tuberculosis infection; less than half (40.4%) were tested using an interferon-gamma release assay. Among those with a valid result, 10.5% were diagnosed with latent tuberculosis infection, 29.1% of those were prescribed latent tuberculosis infection treatment, and only 33.6% were prescribed a recommended rifamycin-based regimen. CONCLUSIONS: Electronic health record data can be used to measure the latent tuberculosis infection care cascade. A large proportion of patients in this safety-net clinical network are at high risk for tuberculosis infection. Addressing identified gaps in latent tuberculosis infection testing and treatment may have a direct impact on improving tuberculosis prevention in primary care clinics and accelerate progress toward elimination. Elsevier 2023-09-28 /pmc/articles/PMC10630620/ /pubmed/37941821 http://dx.doi.org/10.1016/j.focus.2023.100148 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Vonnahme, Laura A.
Raykin, Julia
Jones, Matthew
Oakley, Jee
Puro, Jon
Langer, Adam
Aiona, Kaylynn
Belknap, Robert
Ayers, Tracy
Todd, Jonathan
Winglee, Kathryn
Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics
title Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics
title_full Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics
title_fullStr Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics
title_full_unstemmed Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics
title_short Using Electronic Health Record Data to Measure the Latent Tuberculosis Infection Care Cascade in Safety-Net Primary Care Clinics
title_sort using electronic health record data to measure the latent tuberculosis infection care cascade in safety-net primary care clinics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630620/
https://www.ncbi.nlm.nih.gov/pubmed/37941821
http://dx.doi.org/10.1016/j.focus.2023.100148
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