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Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization

Background: Task sharing of TTE may improve capacity for heart failure diagnosis and management in patients in remote, low-resource settings but the impact on diagnostic accuracy and patient outcomes has not been studied. Objectives: Determine feasibility and impact of non-expert training in transth...

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Autores principales: DeWyer, Alyssa, Scheel, Amy, Otim, Isaac Omara, Longenecker, Christopher T., Okello, Emmy, Ssinabulya, Isaac, Morris, Stephen, Okwir, Mark, Oyang, William, Joyce, Erine, Nabongo, Betty, Sable, Craig, Alencherry, Ben, Tompsett, Alison, Aliku, Twalib, Beaton, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844369/
https://www.ncbi.nlm.nih.gov/pubmed/31694487
http://dx.doi.org/10.1080/16549716.2019.1684070
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author DeWyer, Alyssa
Scheel, Amy
Otim, Isaac Omara
Longenecker, Christopher T.
Okello, Emmy
Ssinabulya, Isaac
Morris, Stephen
Okwir, Mark
Oyang, William
Joyce, Erine
Nabongo, Betty
Sable, Craig
Alencherry, Ben
Tompsett, Alison
Aliku, Twalib
Beaton, Andrea
author_facet DeWyer, Alyssa
Scheel, Amy
Otim, Isaac Omara
Longenecker, Christopher T.
Okello, Emmy
Ssinabulya, Isaac
Morris, Stephen
Okwir, Mark
Oyang, William
Joyce, Erine
Nabongo, Betty
Sable, Craig
Alencherry, Ben
Tompsett, Alison
Aliku, Twalib
Beaton, Andrea
author_sort DeWyer, Alyssa
collection PubMed
description Background: Task sharing of TTE may improve capacity for heart failure diagnosis and management in patients in remote, low-resource settings but the impact on diagnostic accuracy and patient outcomes has not been studied. Objectives: Determine feasibility and impact of non-expert training in transthoracic echocardiography (TTE) to improve the diagnosis and outcomes of patients with suspected heart failure in Uganda. Methods: This two-part study examined an innovative training program to develop TTE competency among non-experts and used a pre-post design to determine the impact of decentralized TTE. Four of 8 non-experts (50%) passed a three-part training course. The training comprised of distance learning through a web-based curriculum, a 2-day hands-on workshop with cardiologists, and independent practice with remote mentorship. Continuous measures were compared (pre- vs. post-TTE) using t-tests or Wilcoxon rank-sum tests as distributionally appropriate and categorical variables assessed through chi-square testing. Sensitivity and specificity were calculated according to standard methodology comparing diagnosis pre- and post-TTE during phase 2. Results: Performance in the post-training phase showed good agreement with expert categorization (κ = 0.80) with diagnostic concordance in 421 of 454 studies (92.7%). TTE changed the preliminary diagnosis in 81% of patients, showing low specificity of clinical decision-making alone (14.2%; 95% CI 10.1–19.2%). Dilated cardiomyopathy, hypertensive heart disease with preserved systolic function, and right heart failure were the most underdiagnosed conditions prior to TTE while hypertensive heart disease with decreased systolic function was the most over-diagnosed condition. Conclusions: In conclusion, non-expert providers can achieve a high level of proficiency for the categorization of heart failure using handheld TTE in low-resource settings and use of telemedicine and remote mentorship may improve performance and feasibility. The addition of TTE resulted in substantial improvement in etiological specificity. Further study is needed to understand implications of this strategy on healthcare utilization, long-term patient outcomes, and cost.
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spelling pubmed-68443692019-11-18 Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization DeWyer, Alyssa Scheel, Amy Otim, Isaac Omara Longenecker, Christopher T. Okello, Emmy Ssinabulya, Isaac Morris, Stephen Okwir, Mark Oyang, William Joyce, Erine Nabongo, Betty Sable, Craig Alencherry, Ben Tompsett, Alison Aliku, Twalib Beaton, Andrea Glob Health Action Original Article Background: Task sharing of TTE may improve capacity for heart failure diagnosis and management in patients in remote, low-resource settings but the impact on diagnostic accuracy and patient outcomes has not been studied. Objectives: Determine feasibility and impact of non-expert training in transthoracic echocardiography (TTE) to improve the diagnosis and outcomes of patients with suspected heart failure in Uganda. Methods: This two-part study examined an innovative training program to develop TTE competency among non-experts and used a pre-post design to determine the impact of decentralized TTE. Four of 8 non-experts (50%) passed a three-part training course. The training comprised of distance learning through a web-based curriculum, a 2-day hands-on workshop with cardiologists, and independent practice with remote mentorship. Continuous measures were compared (pre- vs. post-TTE) using t-tests or Wilcoxon rank-sum tests as distributionally appropriate and categorical variables assessed through chi-square testing. Sensitivity and specificity were calculated according to standard methodology comparing diagnosis pre- and post-TTE during phase 2. Results: Performance in the post-training phase showed good agreement with expert categorization (κ = 0.80) with diagnostic concordance in 421 of 454 studies (92.7%). TTE changed the preliminary diagnosis in 81% of patients, showing low specificity of clinical decision-making alone (14.2%; 95% CI 10.1–19.2%). Dilated cardiomyopathy, hypertensive heart disease with preserved systolic function, and right heart failure were the most underdiagnosed conditions prior to TTE while hypertensive heart disease with decreased systolic function was the most over-diagnosed condition. Conclusions: In conclusion, non-expert providers can achieve a high level of proficiency for the categorization of heart failure using handheld TTE in low-resource settings and use of telemedicine and remote mentorship may improve performance and feasibility. The addition of TTE resulted in substantial improvement in etiological specificity. Further study is needed to understand implications of this strategy on healthcare utilization, long-term patient outcomes, and cost. Taylor & Francis 2019-11-07 /pmc/articles/PMC6844369/ /pubmed/31694487 http://dx.doi.org/10.1080/16549716.2019.1684070 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
DeWyer, Alyssa
Scheel, Amy
Otim, Isaac Omara
Longenecker, Christopher T.
Okello, Emmy
Ssinabulya, Isaac
Morris, Stephen
Okwir, Mark
Oyang, William
Joyce, Erine
Nabongo, Betty
Sable, Craig
Alencherry, Ben
Tompsett, Alison
Aliku, Twalib
Beaton, Andrea
Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
title Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
title_full Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
title_fullStr Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
title_full_unstemmed Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
title_short Improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
title_sort improving the accuracy of heart failure diagnosis in low-resource settings through task sharing and decentralization
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844369/
https://www.ncbi.nlm.nih.gov/pubmed/31694487
http://dx.doi.org/10.1080/16549716.2019.1684070
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