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From normalcy to pandemic: analyzing cataract surgery patterns through case volumes and Google Trends (2014-2020)
Vinit Majmudar1, Monali S Ardeshna1, Raghav Vadhul2
1Albany Medical College, Albany, New York.
Digital Journal of Ophthalmology : DJO
|July 1, 2026
Summary
Cataract surgery rates remained stable for Medicare beneficiaries during COVID-19, even as online searches declined. This indicates successful healthcare continuity despite reduced patient engagement.
Area of Science:
- Ophthalmology
- Public Health
- Health Informatics
Background:
- Cataract surgery is a common procedure for Medicare beneficiaries.
- Understanding patient engagement and healthcare dynamics is crucial for resource allocation.
- The COVID-19 pandemic significantly impacted healthcare access and patient behavior.
Purpose of the Study:
- To analyze cataract surgery rates in Medicare beneficiaries.
- To correlate these rates with Google Trends data.
- To understand patient engagement and healthcare dynamics pre- and during the COVID-19 pandemic (2014-2020).
Main Methods:
- Collected Google Trends relative search volumes (RSV) for 9 cataract-related search terms.
- Utilized univariate linear regression to assess correlations between Google RSV and Medicare cataract surgery case volumes.
- Examined seasonal and pandemic-related trends in search data and surgical volumes.
Main Results:
- Found statistically significant positive correlations between search data and surgery volumes for 5 of 9 search terms.
- Observed higher search traffic during summer and fall.
- Noted consistent and increasing annual cataract surgery volumes from 2019 to 2020, despite a sharp decrease in search traffic during the pandemic.
Conclusions:
- Stable cataract surgery rates among Medicare beneficiaries during the pandemic highlight successful healthcare continuity.
- Google Trends serves as a valuable tool for gauging public interest and informing healthcare resource allocation.
- Despite decreased online patient engagement, essential healthcare services were maintained.