Language Access in Healthcare
Papers/

Association Between Limited English Language Proficiency and Disparities in Length of Stay and Discharge Disposition After Total Shoulder Arthroplasty: A Retrospective Cohort Stud

@Kyle_2023_Association_Between
View
Abstract results0/7Tables & figures0/4

Abstract results

Each result the abstract reports — is it captured as evidence?

  • Forty-one patients were included in each cohort, exceeding the minimum number required per an a priori power analysis.

  • Mean hospital LOS was longer in the interpreter cohort than in the non-interpreter cohort (2.8 ± 2.4 vs 1.8 ± 1.0 days, respectively).

    suggested · 18% In a matched retrospective cohort of total shoulder arthroplasty (TSA) patients, mean hospital length of stay (LOS) was longer in

  • Multivariate linear regression demonstrated interpreter use was the strongest predictor of LOS, with the effect estimate indicating an additional 0.88-day LOS per patient.

    suggested · 28% In a matched retrospective cohort of total shoulder arthroplasty (TSA) patients, mean hospital length of stay (LOS) was longer in

  • A greater proportion of patients from the interpreter cohort were discharged to an acute/subacute rehabilitation facility than patients from the non-interpreter cohort (n = 8 [19.5%] vs n = 2 [4.9%], respectively).

    suggested · 31% In the matched TSA cohort, a greater proportion of interpreter-requiring patients were discharged to an acute or subacute rehabili

  • Patients from the interpreter cohort were 454% more likely to be discharged to acute/subacute rehabilitation facilities.

    suggested · 28% In the matched TSA cohort, a greater proportion of interpreter-requiring patients were discharged to an acute or subacute rehabili

  • Our retrospective analysis of patients undergoing TSA suggests that the need for interpreter services may be associated with increased LOS and discharge to a facility.

  • More rigorous study is needed to identify the factors that influence these outcomes and to avoid disparities in hospital stay and discharge.

Tables & figures

Map each object to the evidence it grounds (one object can ground several), add anything missed, or flag a gap.

  • Table 1 Baseline characteristics of study population.

  • Table 2 Multivariate linear regression analysis estimates for predicting hospital length of stay after TSA.

  • Table 3 Multivariate logistic regression analysis estimates for predicting discharge disposition after TSA.

  • Table 4 Cohort-specific 30- and 90-day complications and