The Association of Primary Language With Emergency General Surgery Outcomes Using a Statewide Database

Abstract Background Emergency general surgery (EGS) represents a diverse set of operations performed on acutely ill patients. Those undergoing EGS are at higher likelihood of complications, readmission, and death, but the effect of primary language on EGS outcomes has not been evaluated. We aimed to evaluate the association of non-English primary language on outcomes after EGS operations. Methods The New Jersey Statewide Inpatient Database from 2009 to 2014 was used to evaluate cases representing 80% of the national burden of EGS. Cases were restricted to ages ≥18 y, emergency department admissions, noted to be emergent or urgent, and performed between 0 and 2 d after admission. We evaluated Spanish speakers and non-English, non-Spanish (NENS) speakers compared with English. Outcomes included in-hospital mortality, 7-d readmission, and hospital length of stay (LOS). Logistic and negative binomial regression was used, and generalized linear mixed models were used to account for hierarchy in the data. Results There were 105,171 patients included. English speakers were majority white and with private insurance; Spanish speakers were younger and with fewer comorbidities. Where differences between Spanish and NENS speakers existed, NENS were more like the English-speaking group. Adjusted results indicate that Spanish speakers had reduced LOS after appendectomy (IRR: 0.92 [0.89-0.95]) and lysis of adhesion [0.93 (0.88-0.97)]. Spanish speakers had an increased LOS after higher risk operations (IRR: 1.14 [1.10-1.20]). NENS speakers had a reduced LOS after adhesiolysis (IRR: 0.94 [0.89-0.99]). There was no difference in mortality or short-term readmission Conclusions These data from a large database suggest that the effect of primary language on LOS after EGS depends on the type of operation. Future studies should focus on long-term outcomes and determining if the lack of association we observed is generalizable to other regions of the United States.