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. 2023 Aug 1;6(8):e2329441.
doi: 10.1001/jamanetworkopen.2023.29441.

Assessment of Hospital-Onset SARS-CoV-2 Infection Rates and Testing Practices in the US, 2020-2022

Affiliations

Assessment of Hospital-Onset SARS-CoV-2 Infection Rates and Testing Practices in the US, 2020-2022

Kelly M Hatfield et al. JAMA Netw Open. .

Abstract

Importance: Characterizing the scale and factors associated with hospital-onset SARS-CoV-2 infections could help inform hospital and public health policies regarding prevention and surveillance needs for these infections.

Objective: To evaluate associations of hospital-onset SARS-CoV-2 infection rates with different periods of the COVID-19 pandemic, hospital characteristics, and testing practices.

Design, setting, and participants: This cohort study of US hospitals reporting SARS-CoV-2 testing data in the PINC AI Healthcare Database COVID-19 special release files was conducted from July 2020 through June 2022. Data were collected from hospitals that reported at least 1 SARS-CoV-2 reverse transcription-polymerase chain reaction or antigen test during hospitalizations discharged that month. For each hospital-month where the hospital reported sufficient data, all hospitalizations discharged in that month were included in the cohort. SARS-CoV-2 viral tests and results reported in the microbiology files for all hospitalizations in the study period by discharge month were identified. Data analysis was conducted from September 2022 to March 2023.

Exposure: Hospitalizations discharged in an included hospital-month.

Main outcomes and measures: Multivariable generalized estimating equation negative-binomial regression models were used to assess associations of monthly rates of hospital-onset SARS-CoV-2 infections per 1000 patient-days (defined as a first positive SARS-CoV-2 test during after hospitalization day 7) with the phase of the pandemic (defined as the predominant SARS-CoV-2 variant in circulation), admission testing rates, and hospital characteristics (hospital bed size, teaching status, urban vs rural designation, Census region, and patient distribution variables).

Results: A total of 5687 hospital-months from 288 distinct hospitals were included, which contributed 4 421 268 hospitalization records. Among 171 564 hospitalizations with a positive SARS-CoV-2 test, 7591 (4.4%) were found to be hospital onset and 6455 (3.8%) were indeterminate onset. The mean monthly hospital-onset infection rate per 1000 patient-days was 0.27 (95 CI, 0.26-0.29). Hospital-onset infections occurred in 2217 of 5687 hospital-months (39.0%). The monthly percentage of discharged patients tested for SARS-CoV-2 at admission varied; 1673 hospital-months (29.4%) had less than 25% of hospitalizations tested at admission; 2199 hospital-months (38.7%) had 25% to 50% of all hospitalizations tested, and 1815 hospital months (31.9%) had more than 50% of all hospitalizations tested at admission. Postadmission testing rates and community-onset infection rates increased with admission testing rates. In multivariable models restricted to hospital-months testing at least 25% of hospitalizations at admission, a 10% increase in community-onset SARS-CoV-2 infection rate was associated with a 178% increase in the hospital-onset infection rate (rate ratio, 2.78; 95% CI, 2.52-3.07). Additionally, the phase of the COVID-19 pandemic, the admission testing rate, Census region, and bed size were all significantly associated with hospital-onset SARS-CoV-2 infection rates.

Conclusions and relevance: In this cohort study of hospitals reporting SARS-CoV-2 infections, there was an increase of hospital-onset SARS-CoV-2 infections when community-onset infections were higher, indicating a need for ongoing and enhanced surveillance and prevention efforts to reduce in-hospital transmission of SARS-CoV-2 infections, particularly when community-incidence of SARS-CoV-2 infections is high.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Klompas reported receiving grants from the Centers for Disease Control and Prevention, Agency for Healthcare Research and Quality, and Massachusetts Department of Public Health; and personal fees from UpToDate outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Aggregate Monthly Percentage of All Hospitalizations With Community-Onset, Indeterminate-Onset, Hospital-Onset, and Unknown-Onset SARS-CoV-2 Infections
Community-onset includes hospitalizations with first positive SARS-CoV-2 test at admission (−7 to 3 days relative to admission); indeterminate-onset includes hospitalizations with first positive test on hospitalization days 4 to 7 relative to admission; hospital-onset includes hospitalizations with first positive test after day 7 relative to admission; and unknown-onset includes hospitalizations with an International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code for COVID-19 (U07.1) but no positive SARS-CoV-2 test recorded during hospitalization.
Figure 2.
Figure 2.. Association of Hospital-Level Factors with Hospital-Onset SARS-CoV-2 Infections
The figure shows incidence rate ratios from multivariable generalized estimating equation negative-binomial regression models assessing hospital-level factors and their association with monthly hospital-onset SARS-CoV-2 infection rates per 1000 patient-days, among 4020 hospital-months where greater than 25% of admissions were tested for SARS-CoV-2 between July 2020 and June 2022. Dots denote means and bars denote 95% CIs. Data were collected from the PINC A1 Healthcare Database.

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