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1.
Chest ; 2022 Nov 10.
Article in English | MEDLINE | ID: covidwho-2296401

ABSTRACT

BACKGROUND: Home hospital (HH) is hospital-level substitutive care delivered at home for acutely ill patients who would traditionally be cared for in the hospital. Despite HH programs operating successfully for years, and scientific evidence of similar or better outcomes compared to bricks and mortar care, HH outcomes in the US for respiratory disease have not been evaluated. RESEARCH QUESTION: Do outcomes differ between patients admitted to HH with acute respiratory illness vs other acute general medical conditions? STUDY DESIGN AND METHODS: Retrospective evaluation of prospectively collected data of patients admitted to HH (2017-21). We compared patients requiring admission with respiratory disease (asthma exacerbation (26%), acute exacerbation for COPD [AECOPD] (33%), and non-COVID-19 pneumonia [PNA] (41%)) to all other HH patients. During HH, patients received 2 nurse and 1 physician visit daily, intravenous medications, advanced respiratory therapies, and continuous heart and respiratory rate monitoring. MAIN OUTCOMES: acute and post-acute utilization and safety. RESULTS: We analyzed 1,031 patients; 24% were admitted for respiratory disease. Patients with and without respiratory disease were similar: mean age 68 (SD, 17), 62% female, and 48% White. Respiratory patients were more often active smokers (21% vs 9%; p<0.001). FEV1/FVC ≤70 in 80% of cases; 28% had severe or very severe obstructive pattern (n=118). During HH, respiratory patients had less utilization: length of stay (mean days, 3.4 vs 4.6), laboratory orders (median, 0 vs 2), intravenous medication (43% vs 73%) and specialist consultation (2% vs 7%) (p all <0.001). 96% of patients completed the full admission at home with no mortality in the respiratory group. Within 30-days of discharge, both groups had similar readmission, ED presentation and mortality rates. INTERPRETATION: HH is as safe and effective for patients with acute respiratory disease as for those with other acute general medical conditions. If scaled, it can generate significant high-value capacity for health systems and communities, with opportunities to advance the complexity of care delivered.

2.
Archives of Public Health ; 81, 2023.
Article in English | EuropePMC | ID: covidwho-2284665

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. Supplementary Information The online version contains supplementary material available at 10.1186/s13690-023-01033-2.

3.
Arch Public Health ; 81(1): 39, 2023 Mar 14.
Article in English | MEDLINE | ID: covidwho-2284666

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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