Dataset Information

Impact of "Stay-at-Home" orders on non-accidental trauma: A multi-institutional study.

ABSTRACT:

Background

It is unclear how Stay-at-Home Orders (SHO) of the COVID-19 pandemic impacted the welfare of children and rates of non-accidental trauma (NAT). We hypothesized that NAT would initially decrease during the SHO as children did not have access to mandatory reporters, and then increase as physicians' offices and schools reopened.

Methods

A multicenter study evaluating patients <18 years with ICD-10 Diagnosis and/or External Cause of Injury codes meeting criteria for NAT. "Historical" controls from an averaged period of March-September 2016-2019 were compared to patients injured March-September 2020, after the implementation of SHO ("COVID" cohort). An interrupted time series analysis was utilized to evaluate the effects of SHO implementation.

Results

Nine Level I pediatric trauma centers contributed 2064 patients meeting NAT criteria. During initial SHO, NAT rates dropped below what was expected based on historical trends; however, thereafter the rate increased above the expected. The COVID cohort experienced a significant increase in the proportion of NAT patients age ≥5 years, minority children, and least resourced as determined by social vulnerability index (SVI).

Conclusions

The COVID-19 pandemic affected the presentation of children with NAT to the hospital. In times of public health crisis, maintaining systems of protection for children remain essential.

Level of evidence

III.

SUBMITTER: Collings AT

PROVIDER: S-EPMC8842346 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

Impact of "Stay-at-Home" orders on non-accidental trauma: A multi-institutional study.

Collings Amelia T AT Farazi Manzur M Van Arendonk Kyle K Fallat Mary E ME Minneci Peter C PC Sato Thomas T TT Speck K Elizabeth KE Deans Katherine J KJ Falcone Richard A RA Foley David S DS Fraser Jason D JD Keller Martin S MS Kotagal Meera M Landman Matthew P MP Leys Charles M CM Markel Troy T Rubalcava Nathan N St Peter Shawn D SD Flynn-O'Brien Katherine T KT

Journal of pediatric surgery 20220214 6

<h4>Background</h4>It is unclear how Stay-at-Home Orders (SHO) of the COVID-19 pandemic impacted the welfare of children and rates of non-accidental trauma (NAT). We hypothesized that NAT would initially decrease during the SHO as children did not have access to mandatory reporters, and then increase as physicians' offices and schools reopened.<h4>Methods</h4>A multicenter study evaluating patients <18 years with ICD-10 Diagnosis and/or External Cause of Injury codes meeting criteria for NAT. "H ...[more]

PMID: 35292165

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Project description:BackgroundStay-at-home orders were one of the controversial interventions to curb the spread of COVID-19 in the United States. The stay-at-home orders, implemented in 51 states and territories between March 7 and June 30, 2020, impacted the lives of individuals and communities and accelerated the heavy usage of web-based social networking sites. Twitter sentiment analysis can provide valuable insight into public health emergency response measures and allow for better formulation and timing of future public health measures to be released in response to future public health emergencies.ObjectiveThis study evaluated how stay-at-home orders affect Twitter sentiment in the United States. Furthermore, this study aimed to understand the feedback on stay-at-home orders from groups with different circumstances and backgrounds. In addition, we particularly focused on vulnerable groups, including older people groups with underlying medical conditions, small and medium enterprises, and low-income groups.MethodsWe constructed a multiperiod difference-in-differences regression model based on the Twitter sentiment geographical index quantified from 7.4 billion geo-tagged tweets data to analyze the dynamics of sentiment feedback on stay-at-home orders across the United States. In addition, we used moderated effects analysis to assess differential feedback from vulnerable groups.ResultsWe combed through the implementation of stay-at-home orders, Twitter sentiment geographical index, and the number of confirmed cases and deaths in 51 US states and territories. We identified trend changes in public sentiment before and after the stay-at-home orders. Regression results showed that stay-at-home orders generated a positive response, contributing to a recovery in Twitter sentiment. However, vulnerable groups faced greater shocks and hardships during the COVID-19 pandemic. In addition, economic and demographic characteristics had a significant moderating effect.ConclusionsThis study showed a clear positive shift in public opinion about COVID-19, with this positive impact occurring primarily after stay-at-home orders. However, this positive sentiment is time-limited, with 14 days later allowing people to be more influenced by the status quo and trends, so feedback on the stay-at-home orders is no longer positively significant. In particular, negative sentiment is more likely to be generated in states with a large proportion of vulnerable groups, and the policy plays a limited role. The pandemic hit older people, those with underlying diseases, and small and medium enterprises directly but hurt states with cross-cutting economic situations and more complex demographics over time. Based on large-scale Twitter data, this sociological perspective allows us to monitor the evolution of public opinion more directly, assess the impact of social events on public opinion, and understand the heterogeneity in the face of pandemic shocks.

Dataset Information

Impact of "Stay-at-Home" orders on non-accidental trauma: A multi-institutional study.

Background

Methods

Results

Conclusions

Level of evidence

Publications

Impact of "Stay-at-Home" orders on non-accidental trauma: A multi-institutional study.

Similar Datasets

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