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1.
J Gen Intern Med ; 2022 Nov 30.
Artículo en Inglés | MEDLINE | ID: covidwho-2235327

RESUMEN

BACKGROUND: As the COVID-19 pandemic evolves, it is critical to understand characteristics that have allowed US healthcare systems, including the Veterans Affairs (VA) and non-federal hospitals, to mount an effective response in the setting of limited resources and unpredictable clinical demands generated by this system shock. OBJECTIVE: To compare the impact of and response to resource shortages to both VA and non-federal healthcare systems during the COVID-19 pandemic. DESIGN: Cross-sectional national survey administered April 2021 through May 2022. PARTICIPANTS: Lead infection preventionists from VA and non-federal hospitals across the US. MAIN MEASURES: Surveys collected hospital demographic factors along with 11 questions aimed at assessing the effectiveness of the hospital's COVID response. KEY RESULTS: The response rate was 56% (71/127) from VA and 47% (415/881) from non-federal hospitals. Compared to VA hospitals, non-federal hospitals had a larger average number of acute care (214 vs. 103 beds, p<.001) and intensive care unit (24 vs. 16, p<.001) beds. VA hospitals were more likely to report no shortages of personal protective equipment or medical supplies during the pandemic (17% vs. 9%, p=.03) and more frequently opened new units to care specifically for COVID patients (71% vs. 49%, p<.001) compared with non-federal hospitals. Non-federal hospitals more frequently experienced increased loss of staff due to resignations (76% vs. 53%, p=.001) and financial hardships stemming from the pandemic (58% vs. 7%, p<0.001). CONCLUSIONS: In our survey-based national study, lead infection preventionists noted several distinct advantages in VA versus non-federal hospitals in their ability to expand bed capacity, retain staff, mitigate supply shortages, and avoid financial hardship. While these benefits appear to be inherent to the VA's structure, non-federal hospitals can adapt their infrastructure to better weather future system shocks.

2.
Infect Control Hosp Epidemiol ; 42(4): 392-398, 2021 04.
Artículo en Inglés | MEDLINE | ID: covidwho-2096426

RESUMEN

OBJECTIVE: The seroprevalence of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) IgG antibody was evaluated among employees of a Veterans Affairs healthcare system to assess potential risk factors for transmission and infection. METHODS: All employees were invited to participate in a questionnaire and serological survey to detect antibodies to SARS-CoV-2 as part of a facility-wide quality improvement and infection prevention initiative regardless of clinical or nonclinical duties. The initiative was conducted from June 8 to July 8, 2020. RESULTS: Of the 2,900 employees, 51% participated in the study, revealing a positive SARS-CoV-2 seroprevalence of 4.9% (72 of 1,476; 95% CI, 3.8%-6.1%). There were no statistically significant differences in the presence of antibody based on gender, age, frontline worker status, job title, performance of aerosol-generating procedures, or exposure to known patients with coronavirus infectious disease 2019 (COVID-19) within the hospital. Employees who reported exposure to a known COVID-19 case outside work had a significantly higher seroprevalence at 14.8% (23 of 155) compared to those who did not 3.7% (48 of 1,296; OR, 4.53; 95% CI, 2.67-7.68; P < .0001). Notably, 29% of seropositive employees reported no history of symptoms for SARS-CoV-2 infection. CONCLUSIONS: The seroprevalence of SARS-CoV-2 among employees was not significantly different among those who provided direct patient care and those who did not, suggesting that facility-wide infection control measures were effective. Employees who reported direct personal contact with COVID-19-positive persons outside work were more likely to have SARS-CoV-2 antibodies. Employee exposure to SARS-CoV-2 outside work may introduce infection into hospitals.


Asunto(s)
COVID-19/epidemiología , Personal de Salud/estadística & datos numéricos , SARS-CoV-2 , Estudios Seroepidemiológicos , United States Department of Veterans Affairs/estadística & datos numéricos , Adolescente , Adulto , COVID-19/etiología , Femenino , Humanos , Masculino , Michigan/epidemiología , Persona de Mediana Edad , Exposición Profesional/estadística & datos numéricos , Factores de Riesgo , Estados Unidos/epidemiología , Adulto Joven
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