Disparities in Amblyopia Treatment Outcomes: The Impact of Sociodemographic Factors, Treatment Compliance, and Age of Diagnosis.

PURPOSE

To identify clinical and sociodemographic factors associated with disparities in amblyopia treatment outcomes.

DESIGN

Retrospective chart review.

PARTICIPANTS

Children ≤ 8 years of age diagnosed and treated for unilateral refractive or strabismic amblyopia at our institution from 2012 to 2022.

METHODS

Children with amblyopia were categorized by outcome: resolved amblyopia (< 0.2 logarithm of the minimum angle of resolution [logMAR] interocular difference [IOD] in visual acuity [VA] or no fixation preference in nonverbal patients) or persistent amblyopia. Demographic and clinical data were recorded from the medical record. Zip codes were used to calculate Childhood Opportunity Index (COI) scores, estimated annual household income, and distance to hospital.

MAIN OUTCOME MEASURES

Sociodemographic and clinical factors were compared between children with resolved and persistent amblyopia. Factors significant at P < 0.10 on univariate analysis were included in a multivariable regression model.

RESULTS

A total of 168 patients met inclusion criteria, and 131 patients (78%) had resolved amblyopia. Demographic factors associated with resolution of amblyopia were younger age at diagnosis (3.3 ± 1.7 years vs. 4.5 ± 1.9 years; P = 0.0009), English as the primary language (79.4% vs. 62.2%; P = 0.04), higher estimated annual income ($83 315.93 ± $29 276.64 vs. $71 623.00 ± $26 842.56; P = 0.03), higher COI scores (50.9 ± 27.3 vs. 40.0 ± 26.4; P = 0.03), and living farther from our institution (28.6 ± 37.6 miles vs. 14.9 ± 12.7 miles; P = 0.003). Patients with resolved amblyopia also had higher rates of treatment compliance (83.2% ± 25.0% vs. 75.6% ± 24.4%; P = 0.009) and shorter delays in follow-up (40.1 ± 76.8 days vs. 61.1 ± 90.4 days; P = 0.02). Amblyopia persistence was borderline associated with governmental insurance and higher presenting IOD in VA (both P = 0.06). On multivariate analysis, only younger age at amblyopia diagnosis (P = 0.0010) remained significantly associated with amblyopia resolution.

CONCLUSIONS

Our findings suggest that disparities in amblyopia outcomes are related to differences in age at diagnosis. Interventions to lower the age at which amblyopia is diagnosed, such as programs to improve vision screening rates and access to pediatric eye care in at-risk groups, may directly address inequities in rates of amblyopia resolution.

FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.