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The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis
OBJECTIVES: To evaluate hospital-specific health economic implications of different protocols using high-sensitivity troponin I for the assessment of patients with chest pain. DESIGN: A cost prediction model and an economic microsimulation were developed using a cohort from a single centre recruited...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577894/ https://www.ncbi.nlm.nih.gov/pubmed/28601817 http://dx.doi.org/10.1136/bmjopen-2016-013653 |
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author | Jülicher, Paul Greenslade, Jaimi H Parsonage, William A Cullen, Louise |
author_facet | Jülicher, Paul Greenslade, Jaimi H Parsonage, William A Cullen, Louise |
author_sort | Jülicher, Paul |
collection | PubMed |
description | OBJECTIVES: To evaluate hospital-specific health economic implications of different protocols using high-sensitivity troponin I for the assessment of patients with chest pain. DESIGN: A cost prediction model and an economic microsimulation were developed using a cohort from a single centre recruited as part of the (ADAPT) trial, a prospective observational trial conducted from 2008 to 2011. The model was populated with 40 000 bootstrapped samples in five high-sensitivity troponin I-enabled algorithms versus standard care. SETTING: Adult emergency department (ED) of a tertiary referral hospital. PARTICIPANTS: Data were available for 938 patients who presented to the ED with at least 5 min of symptoms suggestive of acute coronary syndrome. The analyses included 719 patients with complete data. MAIN OUTCOME(S)/MEASURE(S): This study examined direct hospital costs, number of false-negative and false-positive cases in the assessment of acute coronary syndrome. RESULTS: High-sensitivity troponin I-supported algorithms increased diagnostic accuracy from 90.0% to 94.0% with an average cost reduction per patient compared with standard care of $490. The inclusion of additional criteria for accelerated rule-out (limit of detection and the modified 2-hour ADAPT trial rules) avoided 7.5% of short-stay unit admissions or 25% of admissions to a cardiac ward. Protocols using high-sensitivity troponin I alone or high-sensitivity troponin I within accelerated diagnostic algorithms reduced length of stay by 6.2 and 13.6 hours, respectively. Overnight stays decreased up to 43%. Results were seen for patients with non-acute coronary syndrome; no difference was found for patients with acute coronary syndrome. CONCLUSIONS: High-sensitivity troponin I algorithms are likely to be cost-effective on a hospital level compared with sensitive troponin protocols. The positive effect is conferred by patients not diagnosed with acute coronary syndrome. Implementation could improve referral accuracy or facilitate safe discharge. It would decrease costs and provide significant hospital benefits. TRIAL REGISTRATION: The original ADAPT trial was registered with the Australia-New Zealand Clinical trials Registry, ACTRN12611001069943. |
format | Online Article Text |
id | pubmed-5577894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55778942017-09-08 The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis Jülicher, Paul Greenslade, Jaimi H Parsonage, William A Cullen, Louise BMJ Open Health Economics OBJECTIVES: To evaluate hospital-specific health economic implications of different protocols using high-sensitivity troponin I for the assessment of patients with chest pain. DESIGN: A cost prediction model and an economic microsimulation were developed using a cohort from a single centre recruited as part of the (ADAPT) trial, a prospective observational trial conducted from 2008 to 2011. The model was populated with 40 000 bootstrapped samples in five high-sensitivity troponin I-enabled algorithms versus standard care. SETTING: Adult emergency department (ED) of a tertiary referral hospital. PARTICIPANTS: Data were available for 938 patients who presented to the ED with at least 5 min of symptoms suggestive of acute coronary syndrome. The analyses included 719 patients with complete data. MAIN OUTCOME(S)/MEASURE(S): This study examined direct hospital costs, number of false-negative and false-positive cases in the assessment of acute coronary syndrome. RESULTS: High-sensitivity troponin I-supported algorithms increased diagnostic accuracy from 90.0% to 94.0% with an average cost reduction per patient compared with standard care of $490. The inclusion of additional criteria for accelerated rule-out (limit of detection and the modified 2-hour ADAPT trial rules) avoided 7.5% of short-stay unit admissions or 25% of admissions to a cardiac ward. Protocols using high-sensitivity troponin I alone or high-sensitivity troponin I within accelerated diagnostic algorithms reduced length of stay by 6.2 and 13.6 hours, respectively. Overnight stays decreased up to 43%. Results were seen for patients with non-acute coronary syndrome; no difference was found for patients with acute coronary syndrome. CONCLUSIONS: High-sensitivity troponin I algorithms are likely to be cost-effective on a hospital level compared with sensitive troponin protocols. The positive effect is conferred by patients not diagnosed with acute coronary syndrome. Implementation could improve referral accuracy or facilitate safe discharge. It would decrease costs and provide significant hospital benefits. TRIAL REGISTRATION: The original ADAPT trial was registered with the Australia-New Zealand Clinical trials Registry, ACTRN12611001069943. BMJ Publishing Group 2017-06-09 /pmc/articles/PMC5577894/ /pubmed/28601817 http://dx.doi.org/10.1136/bmjopen-2016-013653 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Economics Jülicher, Paul Greenslade, Jaimi H Parsonage, William A Cullen, Louise The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
title | The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
title_full | The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
title_fullStr | The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
title_full_unstemmed | The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
title_short | The organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
title_sort | organisational value of diagnostic strategies using high-sensitivity troponin for patients with possible acute coronary syndromes: a trial-based cost-effectiveness analysis |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577894/ https://www.ncbi.nlm.nih.gov/pubmed/28601817 http://dx.doi.org/10.1136/bmjopen-2016-013653 |
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