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Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care

BACKGROUND: There are known disparities in COVID-19 resource utilization that may persist during the recovery period for some patients. We sought to define subpopulations of patients seeking COVID-19 recovery care in terms of symptom reporting and care utilization to better personalize their care an...

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Autores principales: Tukpah, Ann-Marcia C., Patel, Jhillika, Amundson, Beret, Linares, Miguel, Sury, Meera, Sullivan, Julie, Jocelyn, Tajmah, Kissane, Brenda, Weinhouse, Gerald, Lange-Vaidya, Nancy, Lamas, Daniela, Ismail, Khalid, Pavuluri, Chandan, Cho, Michael H., Gay, Elizabeth B., Moll, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011754/
https://www.ncbi.nlm.nih.gov/pubmed/36918970
http://dx.doi.org/10.1186/s13690-023-01033-2
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author Tukpah, Ann-Marcia C.
Patel, Jhillika
Amundson, Beret
Linares, Miguel
Sury, Meera
Sullivan, Julie
Jocelyn, Tajmah
Kissane, Brenda
Weinhouse, Gerald
Lange-Vaidya, Nancy
Lamas, Daniela
Ismail, Khalid
Pavuluri, Chandan
Cho, Michael H.
Gay, Elizabeth B.
Moll, Matthew
author_facet Tukpah, Ann-Marcia C.
Patel, Jhillika
Amundson, Beret
Linares, Miguel
Sury, Meera
Sullivan, Julie
Jocelyn, Tajmah
Kissane, Brenda
Weinhouse, Gerald
Lange-Vaidya, Nancy
Lamas, Daniela
Ismail, Khalid
Pavuluri, Chandan
Cho, Michael H.
Gay, Elizabeth B.
Moll, Matthew
author_sort Tukpah, Ann-Marcia C.
collection PubMed
description BACKGROUND: There are known disparities in COVID-19 resource utilization that may persist during the recovery period for some patients. We sought to define subpopulations of patients seeking COVID-19 recovery care in terms of symptom reporting and care utilization to better personalize their care and to identify ways to improve access to subspecialty care. METHODS: Prospective study of adult patients with prior COVID-19 infection seen in an ambulatory COVID-19 recovery center (CRC) in Boston, Massachusetts from April 2021 to April 2022. Hierarchical clustering with complete linkage to differentiate subpopulations was done with four sociodemographic variables: sex, race, language, and insurance status. Outcomes included ICU admission, utilization of supplementary care, self-report of symptoms. RESULTS: We included 1285 COVID-19 patients referred to the CRC with a mean age of 47 years, of whom 71% were female and 78% White. We identified 3 unique clusters of patients. Cluster 1 and 3 patients were more likely to have had intensive care unit (ICU) admissions; Cluster 2 were more likely to be White with commercial insurance and a low percentage of ICU admission; Cluster 3 were more likely to be Black/African American or Latino/a and have commercial insurance. Compared to Cluster 2, Cluster 1 patients were more likely to report symptoms (ORs ranging 2.4–3.75) but less likely to use support groups, psychoeducation, or care coordination (all p < 0.05). Cluster 3 patients reported greater symptoms with similar levels of community resource utilization. CONCLUSIONS: Within a COVID-19 recovery center, there are distinct groups of patients with different clinical and socio-demographic profiles, which translates to differential resource utilization. These insights from different subpopulations of patients can inform targeted strategies which are tailored to specific patient needs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-023-01033-2.
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spelling pubmed-100117542023-03-14 Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care Tukpah, Ann-Marcia C. Patel, Jhillika Amundson, Beret Linares, Miguel Sury, Meera Sullivan, Julie Jocelyn, Tajmah Kissane, Brenda Weinhouse, Gerald Lange-Vaidya, Nancy Lamas, Daniela Ismail, Khalid Pavuluri, Chandan Cho, Michael H. Gay, Elizabeth B. Moll, Matthew Arch Public Health Research BACKGROUND: There are known disparities in COVID-19 resource utilization that may persist during the recovery period for some patients. We sought to define subpopulations of patients seeking COVID-19 recovery care in terms of symptom reporting and care utilization to better personalize their care and to identify ways to improve access to subspecialty care. METHODS: Prospective study of adult patients with prior COVID-19 infection seen in an ambulatory COVID-19 recovery center (CRC) in Boston, Massachusetts from April 2021 to April 2022. Hierarchical clustering with complete linkage to differentiate subpopulations was done with four sociodemographic variables: sex, race, language, and insurance status. Outcomes included ICU admission, utilization of supplementary care, self-report of symptoms. RESULTS: We included 1285 COVID-19 patients referred to the CRC with a mean age of 47 years, of whom 71% were female and 78% White. We identified 3 unique clusters of patients. Cluster 1 and 3 patients were more likely to have had intensive care unit (ICU) admissions; Cluster 2 were more likely to be White with commercial insurance and a low percentage of ICU admission; Cluster 3 were more likely to be Black/African American or Latino/a and have commercial insurance. Compared to Cluster 2, Cluster 1 patients were more likely to report symptoms (ORs ranging 2.4–3.75) but less likely to use support groups, psychoeducation, or care coordination (all p < 0.05). Cluster 3 patients reported greater symptoms with similar levels of community resource utilization. CONCLUSIONS: Within a COVID-19 recovery center, there are distinct groups of patients with different clinical and socio-demographic profiles, which translates to differential resource utilization. These insights from different subpopulations of patients can inform targeted strategies which are tailored to specific patient needs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-023-01033-2. BioMed Central 2023-03-14 /pmc/articles/PMC10011754/ /pubmed/36918970 http://dx.doi.org/10.1186/s13690-023-01033-2 Text en © The Author(s) 2023 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
Tukpah, Ann-Marcia C.
Patel, Jhillika
Amundson, Beret
Linares, Miguel
Sury, Meera
Sullivan, Julie
Jocelyn, Tajmah
Kissane, Brenda
Weinhouse, Gerald
Lange-Vaidya, Nancy
Lamas, Daniela
Ismail, Khalid
Pavuluri, Chandan
Cho, Michael H.
Gay, Elizabeth B.
Moll, Matthew
Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care
title Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care
title_full Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care
title_fullStr Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care
title_full_unstemmed Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care
title_short Cluster analysis of COVID-19 recovery center patients at a clinic in Boston, MA 2021–2022: impact on strategies for access and personalized care
title_sort cluster analysis of covid-19 recovery center patients at a clinic in boston, ma 2021–2022: impact on strategies for access and personalized care
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011754/
https://www.ncbi.nlm.nih.gov/pubmed/36918970
http://dx.doi.org/10.1186/s13690-023-01033-2
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