2022
DOI: 10.1186/s40621-022-00409-2
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Effect of Stay-at-Home orders and other COVID-related policies on trauma hospitalization rates and disparities in the USA: a statewide time-series analysis

Abstract: Background To combat the coronavirus pandemic, states implemented several public health policies to reduce infection and transmission. Increasing evidence suggests that these prevention strategies also have had a profound impact on non-COVID healthcare utilization. The goal of this study was to determine the impact of a statewide Stay-at-Home order and other COVID-related policies on trauma hospitalizations, stratified by race/ethnicity, age, and sex. Methods … Show more

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Cited by 3 publications
(4 citation statements)
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“…However, it is unclear whether gunshot wound (GSW) hospitalizations (fatal and nonfatal) have also increased during this time, and more importantly, whether COVID-related policies were associated with these changes. Our research group (Strassle et al 2022 ) and others (Hatchimonji et al 2020 ; Yeates et al 2021 ; Abdallah et al 2021 ) have previously reported that assault hospitalizations increased after Stay-at-Home orders in several states, but potential racial/ethnic, sex, and age disparities in the rates of GSW hospitalizations specifically during the pandemic have yet to be addressed. Thus, the purpose of this analysis was to assess changes in GSW assault hospitalizations over the first year of the pandemic among specific racial/ethnic, sex, and age groups, and the impact COVID-related policies had on hospitalization rates.…”
Section: Introductionmentioning
confidence: 84%
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“…However, it is unclear whether gunshot wound (GSW) hospitalizations (fatal and nonfatal) have also increased during this time, and more importantly, whether COVID-related policies were associated with these changes. Our research group (Strassle et al 2022 ) and others (Hatchimonji et al 2020 ; Yeates et al 2021 ; Abdallah et al 2021 ) have previously reported that assault hospitalizations increased after Stay-at-Home orders in several states, but potential racial/ethnic, sex, and age disparities in the rates of GSW hospitalizations specifically during the pandemic have yet to be addressed. Thus, the purpose of this analysis was to assess changes in GSW assault hospitalizations over the first year of the pandemic among specific racial/ethnic, sex, and age groups, and the impact COVID-related policies had on hospitalization rates.…”
Section: Introductionmentioning
confidence: 84%
“…95% confidence intervals were calculated using the approximate standard errors generated for each post-policy slope. We have used these methods previously (Strassle et al 2022 ). Due to low rates, stratified models among women (all ages) and older men (≥ 65 years old) could not be performed.…”
Section: Methodsmentioning
confidence: 99%
“…These groupings provide a standardized approach to categorizing injuries that have previously been reported in the literature. 23 , 24 A recent single-center study by Clery et al 25 found that ICD-10 clinical modification injury codes had a sensitivity of 67% and a specificity of 90% for identifying injuries at large. Notably, these were provider-assigned codes in an emergency department as opposed to the hospitalization claims data used in SPARCS.…”
Section: Methodsmentioning
confidence: 99%
“…Associations between SOs, motor vehicle crashes (MVCs), and their subsequent injuries are well quantified in the period immediately following the implementation of SOs, though findings are both outcome and measure dependent. [1][2][3][4][5][6][7][8][9][10][11][12][13][14] Vehicle miles travelled (VMT) and absolute counts of MVCs decreased following the onset of SOs, 5-8 14 while the rate of MVCs per VMT remained constant or declined over the pandemic period. 3 6 However, when stratified by MVC-related injury severity, heterogeneity was observed: counts decreased for less severe injuries following SOs and increased for severe/fatal injuries.…”
Section: Introductionmentioning
confidence: 99%