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Modeling the impact of COVID-19 on Retina Clinic Performance

BACKGROUND: COVID-19, a highly contagious respiratory virus, presents unique challenges to ophthalmology practice as a high-volume, office-based specialty. In response to the COVID-19 pandemic, many operational changes were adopted in our ophthalmology clinic to enhance patient and provider safety w...

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Autores principales: Sethi, Karan, Levine, Emily S., Roh, Shiyoung, Marx, Jeffrey L., Ramsey, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107774/
https://www.ncbi.nlm.nih.gov/pubmed/33971832
http://dx.doi.org/10.1186/s12886-021-01955-x
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author Sethi, Karan
Levine, Emily S.
Roh, Shiyoung
Marx, Jeffrey L.
Ramsey, David J.
author_facet Sethi, Karan
Levine, Emily S.
Roh, Shiyoung
Marx, Jeffrey L.
Ramsey, David J.
author_sort Sethi, Karan
collection PubMed
description BACKGROUND: COVID-19, a highly contagious respiratory virus, presents unique challenges to ophthalmology practice as a high-volume, office-based specialty. In response to the COVID-19 pandemic, many operational changes were adopted in our ophthalmology clinic to enhance patient and provider safety while maintaining necessary clinical operations. The aim of this study was to evaluate how measures adopted during the pandemic period affected retina clinic performance and patient satisfaction, and to model future clinic flow to predict operational performance under conditions of increasing patient and provider volumes. METHODS: Clinic event timestamps and demographics were extracted from the electronic medical records of in-person retina encounters from March 15 to May 15, 2020 and compared with the same period in 2019 to assess patient flow through the clinical encounter. Patient satisfaction was evaluated by Press Ganey patient experience surveys obtained from randomly selected outpatient encounters. A discrete-events simulation was designed to model the clinic with COVID-era restrictions to assess operational performance under conditions of increasing patient and provider volumes. RESULTS: Retina clinic volume declined by 62 % during the COVID-19 health emergency. Average check-in-to-technician time declined 79 %, total visit length declined by 46 %, and time in the provider phase of care declined 53 %. Patient satisfaction regarding access nearly doubled during the COVID-period compared with the prior year (p < 0.0001), while satisfaction with overall care and safety remained high during both periods. A model incorporating COVID-related changes demonstrated that wait time before rooming reached levels similar to the pre-COVID era by 30 patients-per-provider in a 1-provider model and 25 patients-per-provider in a 2-provider model (p < 0.001). Capacity to maintain distancing between patients was exceeded only in the two 2-provider model above 25 patients-per-provider. CONCLUSIONS: Clinic throughput was optimized in response to the COVID-19 health emergency. Modeling these clinic changes can help plan for eventual volume increases in the setting of limits imposed in the COVID-era. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-021-01955-x.
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spelling pubmed-81077742021-05-10 Modeling the impact of COVID-19 on Retina Clinic Performance Sethi, Karan Levine, Emily S. Roh, Shiyoung Marx, Jeffrey L. Ramsey, David J. BMC Ophthalmol Research Article BACKGROUND: COVID-19, a highly contagious respiratory virus, presents unique challenges to ophthalmology practice as a high-volume, office-based specialty. In response to the COVID-19 pandemic, many operational changes were adopted in our ophthalmology clinic to enhance patient and provider safety while maintaining necessary clinical operations. The aim of this study was to evaluate how measures adopted during the pandemic period affected retina clinic performance and patient satisfaction, and to model future clinic flow to predict operational performance under conditions of increasing patient and provider volumes. METHODS: Clinic event timestamps and demographics were extracted from the electronic medical records of in-person retina encounters from March 15 to May 15, 2020 and compared with the same period in 2019 to assess patient flow through the clinical encounter. Patient satisfaction was evaluated by Press Ganey patient experience surveys obtained from randomly selected outpatient encounters. A discrete-events simulation was designed to model the clinic with COVID-era restrictions to assess operational performance under conditions of increasing patient and provider volumes. RESULTS: Retina clinic volume declined by 62 % during the COVID-19 health emergency. Average check-in-to-technician time declined 79 %, total visit length declined by 46 %, and time in the provider phase of care declined 53 %. Patient satisfaction regarding access nearly doubled during the COVID-period compared with the prior year (p < 0.0001), while satisfaction with overall care and safety remained high during both periods. A model incorporating COVID-related changes demonstrated that wait time before rooming reached levels similar to the pre-COVID era by 30 patients-per-provider in a 1-provider model and 25 patients-per-provider in a 2-provider model (p < 0.001). Capacity to maintain distancing between patients was exceeded only in the two 2-provider model above 25 patients-per-provider. CONCLUSIONS: Clinic throughput was optimized in response to the COVID-19 health emergency. Modeling these clinic changes can help plan for eventual volume increases in the setting of limits imposed in the COVID-era. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12886-021-01955-x. BioMed Central 2021-05-10 /pmc/articles/PMC8107774/ /pubmed/33971832 http://dx.doi.org/10.1186/s12886-021-01955-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Sethi, Karan
Levine, Emily S.
Roh, Shiyoung
Marx, Jeffrey L.
Ramsey, David J.
Modeling the impact of COVID-19 on Retina Clinic Performance
title Modeling the impact of COVID-19 on Retina Clinic Performance
title_full Modeling the impact of COVID-19 on Retina Clinic Performance
title_fullStr Modeling the impact of COVID-19 on Retina Clinic Performance
title_full_unstemmed Modeling the impact of COVID-19 on Retina Clinic Performance
title_short Modeling the impact of COVID-19 on Retina Clinic Performance
title_sort modeling the impact of covid-19 on retina clinic performance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8107774/
https://www.ncbi.nlm.nih.gov/pubmed/33971832
http://dx.doi.org/10.1186/s12886-021-01955-x
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