Table 1_Mental health burden associated with specific ocular conditions among Medicare Adv

42% of 992 Medicare Advantage patients with type 2 diabetes and ocular conditions reported at least one day of poor mental health. This dataset, created by Michael D. Twa, pools national claims data from 2016 to 2020 to examine associations between conditions like glaucoma, cataracts, retinopathy, and dry eye disease and self-reported unhealthy mental health days. The analysis uses generalized linear regression and stratified models to calculate average marginal effects and adjusted predicted means.

Use Cases

• Modeling the association between glaucoma and mental health burden based on regression results and confidence intervals.
• Conducting stratified analysis for patient subgroups based on the presence or absence of dry eye disease.
• Investigating demographic and health condition covariates as factors influencing mental health outcomes.
• Calculating predicted means and marginal effects to interpret model findings for clinical or policy applications.

Strengths

• Claims data from 992 individuals provides a defined study population.
• Analysis covers a five-year time range from 2016 to 2020.
• Results include specific statistical measures like odds ratios (e.g., 2.69 for glaucoma) and 95% confidence intervals.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 77.6 KB, indicating limited scope.
• Data may reflect geographic and demographic bias inherent to the Medicare Advantage population studied.

Provenance

Source

figshare

Collection Method

Pooled national claims data combined with CDC Health-Related Quality of Life questionnaire responses.

Time Range

2016-2020

Freshness

Last updated 2026-04-16 05:15:35; freshness should be verified.

Geography

United States