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A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic
BACKGROUND: Student Run Clinics (SRCs) are a common aspect of medical education, present at more than half of US medical schools, and noted for providing care to communities that might otherwise lack access, including the uninsured and underinsured. To date, few studies have rigorously quantified th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746244/ https://www.ncbi.nlm.nih.gov/pubmed/29284026 http://dx.doi.org/10.1371/journal.pone.0189718 |
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author | Arenas, Daniel J. Lett, Elle Klusaritz, Heather Teitelman, Anne M. |
author_facet | Arenas, Daniel J. Lett, Elle Klusaritz, Heather Teitelman, Anne M. |
author_sort | Arenas, Daniel J. |
collection | PubMed |
description | BACKGROUND: Student Run Clinics (SRCs) are a common aspect of medical education, present at more than half of US medical schools, and noted for providing care to communities that might otherwise lack access, including the uninsured and underinsured. To date, few studies have rigorously quantified the health and economic benefits of SRCs, and the present study remedies that. METHODS AND FINDINGS: We used Monte Carlo simulations to estimate the health impact of common preventive health interventions applied to individuals in quality-adjusted life-years (QALYs). We then used those measurements to estimate the health and economic impact of United Community Clinic (UCC), a student-run clinic in Philadelphia, PA. We found that with an annual operating budget of $50,000, UCC saves 6.5 QALYs, corresponding to over $850,000 saved. CONCLUSIONS: Using Monte Carlo simulation methods, the health and economic impact of SRCs can be reasonably estimated to demonstrate the utility of SRCs and justify their growing importance in the healthcare delivery landscape of the US. |
format | Online Article Text |
id | pubmed-5746244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57462442018-01-08 A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic Arenas, Daniel J. Lett, Elle Klusaritz, Heather Teitelman, Anne M. PLoS One Research Article BACKGROUND: Student Run Clinics (SRCs) are a common aspect of medical education, present at more than half of US medical schools, and noted for providing care to communities that might otherwise lack access, including the uninsured and underinsured. To date, few studies have rigorously quantified the health and economic benefits of SRCs, and the present study remedies that. METHODS AND FINDINGS: We used Monte Carlo simulations to estimate the health impact of common preventive health interventions applied to individuals in quality-adjusted life-years (QALYs). We then used those measurements to estimate the health and economic impact of United Community Clinic (UCC), a student-run clinic in Philadelphia, PA. We found that with an annual operating budget of $50,000, UCC saves 6.5 QALYs, corresponding to over $850,000 saved. CONCLUSIONS: Using Monte Carlo simulation methods, the health and economic impact of SRCs can be reasonably estimated to demonstrate the utility of SRCs and justify their growing importance in the healthcare delivery landscape of the US. Public Library of Science 2017-12-28 /pmc/articles/PMC5746244/ /pubmed/29284026 http://dx.doi.org/10.1371/journal.pone.0189718 Text en © 2017 Arenas et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Arenas, Daniel J. Lett, Elle Klusaritz, Heather Teitelman, Anne M. A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
title | A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
title_full | A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
title_fullStr | A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
title_full_unstemmed | A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
title_short | A Monte Carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
title_sort | monte carlo simulation approach for estimating the health and economic impact of interventions provided at a student-run clinic |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746244/ https://www.ncbi.nlm.nih.gov/pubmed/29284026 http://dx.doi.org/10.1371/journal.pone.0189718 |
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