Comparison of cataract surgery outcomes in English proficient and limited English proficiency patients

Gill, Zafar S; Caldwell, Anne Strong; Patnaik, Jennifer L; Marin, A Itzam; Mudie, Lucy I.; Grove, Nathan; Ifantides, Cristos; Ertel, Monica; Puente, Michael A.; Seibold, Leonard K.

doi:10.1097/j.jcrs.0000000000001164

Cited by 3 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Limited English proficiency, defined as needing or preferring an interpreter, also served as a factor that affected outcomes. Patients with limited English proficiency were more likely to have mature cataracts (5.1% versus 2.3%) and more likely to be considered complex (27.8% versus 15.3%) [22]. These details show an often-overlooked reality for some of our patients.…”

mentioning

confidence: 80%

Patient experiences and satisfaction with cataract surgery

Lieu,

Afshari

2023

Current Opinion in Ophthalmology

View full text Add to dashboard Cite

mentioning

confidence: 80%

Patient experiences and satisfaction with cataract surgery

Lieu,

Afshari

2023

Current Opinion in Ophthalmology

View full text Add to dashboard Cite

“…Similar to our study, Gill et al found significantly more mature cataracts and worse preoperative visual acuity in patients with LEP. They defined patients as LEP, who self-identified as needing or preferring an interpreter in medical encounters [ 25 ]. However, as ethnicity and language proficiency are not documented routinely, the effect of these factors may remain undetected.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence (AI) Reveals Ethnic Disparities in Cataract Detection and Treatment

Palme,

Hafner,

Hafner

et al. 2024

Ophthalmol Ther

View full text Add to dashboard Cite

Introduction The aim of this work is to identify patients at risk of limited access to healthcare through artificial intelligence using a name-ethnicity classifier (NEC) analyzing the clinical stage of cataract at diagnosis and preoperative visual acuity. Methods This retrospective, cross-sectional study includes patients seen in the cataract clinic of a tertiary care hospital between September 2017 and February 2020 with subsequent cataract surgery in at least one eye. We analyzed 4971 patients and 8542 eyes undergoing surgery. Results The NEC identified 360 patients with names classified as ‘non-German’ compared to 4611 classified as ‘German’. Advanced cataract (7 vs. 5%; p = 0.025) was significantly associated with group ‘non-German’. Mean best-corrected visual acuity in group ‘non-German’ was 0.464 ± 0.406 (LogMAR), and in group ‘German’ was 0.420 ± 0.334 ( p = 0.009). This difference remained significant after exclusion of patients with non-lenticular ocular comorbidities. Surgical time and intraoperative complications did not differ between the groups. Retrobulbar or general anesthesia was chosen significantly more frequently over topical anesthesia in group ‘non-German’ compared to group ‘German’ (24 vs. 18% respectively; p < 0.001). Conclusions This study shows that artificial intelligence is able to uncover health disparities between people with German compared to non-German names using NECs. Patients with non-German names, possibly facing various social barriers to healthcare access such as language barriers, have more advanced cataracts and worse visual acuity upon presentation. Artificial intelligence may prove useful for healthcare providers to discover and counteract such inequalities and establish tailored preventive measures to decrease morbidity in vulnerable population subgroups.

show abstract

The Effect of Racial/Ethnic and Socioeconomic Differences on Visual Impairment Prior to Cataract Surgery

Awidi,

Woreta,

Sabit

et al. 2024

Ophthalmology

View full text Add to dashboard Cite

Comparison of cataract surgery outcomes in English proficient and limited English proficiency patients

Abstract: We demonstrate differences in cataract outcomes in patients with limited English proficiency compared with their English proficient counterparts. Further research is needed to understand the root causes of those differences.

Cited by 3 publications

References 28 publications

Patient experiences and satisfaction with cataract surgery

Patient experiences and satisfaction with cataract surgery

Artificial Intelligence (AI) Reveals Ethnic Disparities in Cataract Detection and Treatment

The Effect of Racial/Ethnic and Socioeconomic Differences on Visual Impairment Prior to Cataract Surgery

Contact Info

Product

Resources

About