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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. | LitMetric

AI Article Synopsis

  • - The study aimed to identify different subpopulations of patients seeking care post-COVID-19 based on their symptoms and resource utilization to improve personalized care and access to specialized services.
  • - Researchers analyzed data from 1,285 COVID-19 patients in Boston, uncovering three distinct clusters, with varying demographics and experiences related to ICU admissions and symptom reporting.
  • - Findings show that patients differ significantly in how they utilize recovery resources, indicating the need for tailored strategies to address the specific needs of these diverse subpopulations for better recovery outcomes.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011754PMC
http://dx.doi.org/10.1186/s13690-023-01033-2DOI Listing

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