Social Vulnerability and COVID-19: Changes in Trauma Activations at a Safety-Net Hospital.

INTRODUCTION: Following the declaration of the COVID-19 pandemic, there were reports of decreased trauma hospitalizations, although violent crime persisted. COVID-19 has had the greatest impact on minoritized and vulnerable communities. Decreases in traumatic events may not extend to these communities, given pandemic-related socioeconomic and psychological burdens that increase the risk of exposure to trauma and violence. MATERIALS AND METHODS: This was a retrospective cohort study (n = 1634) of all trauma activations presenting to our institution January 1, 2020 to May 31, 2020, and same time periods in 2018 and 2019. Census tracts and associated Social Vulnerability Index quartiles were determined from patient addresses. Changes in trauma activations pre and post Massachusetts' state-of-emergency declaration compared to a historical control were analyzed using a difference-in-differences methodology. RESULTS: Weekly all-cause trauma activations fell from 26.44 to 8.25 (rate ratio = 0.36 [0.26, 0.50]) postdeclaration, with significant difference-in-differences compared to a historical control (P < 0.0001). Nonviolent trauma activations significantly decreased from 21.11 to 5.17 after the declaration (rate ratio = 0.27 [0.37, 0.91]; P < 0.0001), whereas there was no significant decrease in violent injury (5.33 to 3.08 rate ratio = 0.69 [0.39, 1.22]; P = 0.20). Stratified by vulnerability, the most vulnerable quartile had an increased proportion of all-cause trauma postdeclaration and had no decrease in violent trauma activations following the declaration compared to the historical control (rate ratio = 0.84 [0.38-1.86]; P = 0.67). CONCLUSIONS: The state-of-emergency declaration was associated with significant decreases in overall trauma, to a greater extent in nonviolent injuries. Among those living in the most socially vulnerable communities, there was no decrease in violent trauma. These findings highlight the need for violence and injury prevention programs in vulnerable communities, particularly in times of crisis.

Social Vulnerability and Appendicitis: Single-Institution Study in a High Insurance State.

INTRODUCTION: Multiple factors signifying higher social vulnerability, including lower socioeconomic status and minority race, have been associated with presentation with complicated appendicitis (CA). In this study, we compared the Social Vulnerability Index (SVI) of our population by appendicitis severity (uncomplicated appendicitis [UA] versus CA). We hypothesized that SVI would be similar between patients with UA and CA presenting to our institution, a safety-net hospital in a state with high healthcare insurance coverage. METHODS: We included all patients at our hospital aged 18 y and older who underwent appendectomy for acute appendicitis between 2012 and 2016. SVI values were determined based on the 2010 census data using ArcMap software. We used nonparametric univariate statistics to compare the SVI of patients with CA versus UA and multivariable regression to model the likelihood of operative CA. RESULTS: A total of 997 patients met inclusion criteria, of which 177 had CA. The median composite SVI score for patients with CA was lower than for patients with UA (80% versus 83%, P = 0.004). UA was associated with higher socioeconomic (83% versus 80%, P = 0.007), household/disability (68% versus 55%, P = 0.037), and minority/language SVI scores (91% versus 89%, P = 0.037). On multivariable analysis controlling for age, sex, ethnicity, insurance status, relevant comorbidities, and chronicity of symptoms, there was an inverse association between SVI and the likelihood of CA (odds ratio 0.59, 95% confidence interval 0.4-0.87, P = 0.008). CONCLUSIONS: In the setting of high healthcare insurance and a medical center experienced in caring for vulnerable populations, patients presenting with UA have a higher composite SVI, and thus greater social vulnerability, than patients presenting with CA.

Geographic Association Between Incidence of Acute Appendicitis and Socioeconomic Status.

Importance: Some studies based on proportions of patients with perforated appendicitis (PA) among all patients with acute appendicitis (AA) have found an association between socioeconomic status (SES) and risk of perforation. A potential limitation is their use of proportions, which assumes that incidence of AA is evenly distributed across populations at risk. This assumption may be invalid, and SES may have a more complex association with both AA and PA. Objective: To generate population-based incidences of AA and PA and to examine geographic patterns of incidence alongside geographic patterns of SES. Design, Setting, and Participants: Retrospective study of data from Washington's Comprehensive Hospital Abstract Reporting System and the 2010 US census. Geographic methods were used to identify patterns of age- and sex-standardized incidence in Washington State between 2008 and 2012. The study included all patients discharged with International Classification of Diseases, Ninth Revision codes for AA or PA. Data were analyzed between November 2016 and December 2018. Exposures: Location of primary residence. Main Outcomes and Measures: Age- and sex-standardized incidence for AA and PA was generated for each census tract (CT). Global spatial autocorrelation was examined using Moran index (0.0 = completely random incidence; 1.0 = fully dependent on location). Clusters of low-incidence CTs (cold spots) and high-incidence CTs (hot spots) were identified for AA. Census-based SES data were aggregated for hot spots and cold spots and then compared. Results: Statewide, over the 5-year study period, there were 35 730 patients with AA (including 9780 cases of PA), of whom 16 574 were women (46.4%). Median age of the cohort was 29 years (IQR, 16-48 years). Statewide incidence of AA and PA was 106 and 29 per 100 000 person-years (PY), respectively. Crude incidence was higher within the male population and peaked at age 10 to 19 years. Age- and sex-standardized incidence of AA demonstrated significant positive spatial autocorrelation (Moran index, 0.30; P < .001), but autocorrelation for PA was only half as strong (0.16; P < .001). Median incidence of AA was 118.1 per 100 000 PY among hot spots vs 86.2 per 100 000 PY among cold spots (P < .001). Socioeconomic status was higher in cold spots vs hot spots: mean proportion of college-educated adults was 56% vs 26% (P < .001), and mean per capita income was $44 691 vs $30 027 (P < .001). Conclusions and Relevance: Age- and sex-standardized incidence of appendicitis is not randomly distributed across geographic subunits, and geographic clustering of AA is twice as strong as PA. Socioeconomic advantages, such as higher income and secondary education, are strongly associated with lower incidence of AA. These findings challenge conventional views that AA occurs randomly and has no predisposing characteristics beyond age/sex. Socioeconomic status, and likely other geographically circumscribed factors, are associated with incidence of AA.