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  • Race and Ethnicity and the ...
    Valtis, Yannis K.; Stevenson, Kristen E.; Murphy, Emily M.; Hong, Jennifer Y.; Ali, Mohsin; Shah, Sejal; Taylor, Adrienne; Sivashanker, Karthik; Shannon, Evan M.

    Journal of general internal medicine : JGIM, 01/2023, Letnik: 38, Številka: 1
    Journal Article

    Background Security emergency responses (SERs) are utilized by hospitals to ensure the safety of patients and staff but can cause unintended morbidity. The presence of racial and ethnic inequities in SER utilization has not been clearly elucidated. Objective To determine whether Black and Hispanic patients experience higher rates of SER and physical restraints in a non-psychiatric inpatient setting. Design Retrospective cohort study. Participants All patients discharged from September 2018 through December 2019. Exposure Race and ethnicity, as reported by patients at time of registration. Main Outcomes The primary outcome was whether a SER was called on a patient. The secondary outcome was the incidence of physical restraints among patients who experienced a SER. Key Results Among 24,212 patients, 18,755 (77.5%) patients identified as white, 2,346 (9.7%) as Black, and 2,425 (10.0%) identified with another race. Among all patients, 1,827 (7.6%) identified as Hispanic and 21,554 (89.0%) as non-Hispanic. Sixty-six (2.8%) Black patients had a SER activated during their first admission, compared to 295 (1.6%) white patients. In a Firth logit multivariable model, Black patients had higher adjusted odds of a SER than white patients (adjusted odds ratio (aOR) 1.37 95% confidence interval: 1.02, 1.81, p = 0.037). Hispanic patients did not have higher odds of having a SER called than non-Hispanic patients. In a Poisson multivariable model among patients who had a SER called, race and ethnicity were not found to be significant predictors of restraint. Conclusion Black patients had higher odds of a SER compared to white patients. No significant differences were found between Hispanic and non-Hispanic patients. Future efforts should focus on assessing the generalizability of these findings, the underlying mechanisms driving these inequities, and effective interventions to address them.