Language Access in Healthcare
EvidenceE-0103Initial AI draft

No significant difference in length of stay between LEP patients who did and did not receive an interpreter after casemix adjustment

2026-06-052 out · 0 in

Source

Morris (2021). Factors associated with utilisation of health care interpreting services and the impact on length of stay and cost: A retrospective cohort analysis of audit dat. Health Promotion Journal of Australia.

Description #

Among hospitalised patients with limited English proficiency who required an interpreter, those who received one had a longer mean unadjusted length of stay (10.31 vs 6.95 days; an unadjusted regression difference of 3.36 days, P = .15), but after casemix adjustment (difference from the national DRG average) the difference was not statistically significant — an estimated additional 2.51 days in the simple model (P = .26) and 3.40 days in the multivariate model (P = .13) (Table 3). The authors conclude the LOS difference was not significant after casemix adjustment.

"In unadjusted analysis, those that received an interpreter stayed an additional 3.36 days (P = .15) as compared to those patients who required an interpreter but did not receive one (Table 3). After casemix adjustment, patients who received an interpreter did not stay longer than the corresponding national DRG average (estimated additional LOS = 2.51 days, P = .26)." (Morris, 2021, p. 429)

"After casemix adjustment, patients who received an interpreter did not stay statistically significantly longer than the corresponding national DRG average (estimated additional LOS = 3.40 days, P = .13)." (Morris, 2021, p. 429)

Methods Context #

What? #

The observable: hospital length of stay in days, both as a raw total and as a casemix-adjusted difference from the national DRG average, compared between patients who did vs did not receive an interpreter.

"The outcomes of interest were LOS and hospital cost. The impact of patients receiving an interpreter was measured for these outcomes, adjusting for patient demographics (sex, age, preferred language and hospital) and clinical characteristics (DRG partition and comorbidity score)." (Morris, 2021, p. 427)

How? #

Retrospective cohort analysis of linked audit and admitted-patient data; LOS predicted using simple and multivariate linear regression controlling for sex, age, admission type and CCI group, with outliers removed where Cook's distance for LOS exceeded four.

"Predictors of LOS and cost were explored using simple and multivariate regression models controlling for sex, age, admission type and CCI group. Outliers were removed from the dataset if Cook's distance for LOS was greater than four." (Morris, 2021, p. 427)

Who? #

Adult inpatients with a preferred language other than English needing an interpreter, audited across eight hospitals in one regional NSW (Australia) local health district between July 2016 and March 2018; from 210 audited episodes, 120 were excluded leaving 90 episodes / 79 hospital stays / 74 patients (mostly aged 75+).

"Following cross-checking, 120 audited episodes were excluded from analysis as they did not meet the study's inclusion criteria, resulting in an audit dataset comprising 90 episodes for 74 individual patients." (Morris, 2021, p. 427)

Other Notes #

The point estimate is in the direction of longer LOS for interpreter recipients, and the multivariate unadjusted-outcome model was significant (4.92 additional days, P = .03); only the casemix-adjusted (difference-from-DRG-average) outcome was non-significant. The authors attribute the non-significance partly to the small sample (see qualifying caveat).

Caveats #

  • Small audit sample may have lacked power to detect true LOS and cost differences from interpreter use (Morris 2021) The audit sample was relatively small (90 episodes / 74 patients), and the authors caution it may not have provided sufficient statistical power to detect true differences in length of stay or cost. The non-significant casemix-adjusted LOS and cost findings therefore cannot be read as evidence of no effect — particularly given that the unadjusted-outcome multivariate models did reach significance, and that the point estimates were in the direction of longer, costlier stays for interpreter recipients.