COVID-19 and cataract surgery backlog in Medicare beneficiaries.


Journal

Journal of cataract and refractive surgery
ISSN: 1873-4502
Titre abrégé: J Cataract Refract Surg
Pays: United States
ID NLM: 8604171

Informations de publication

Date de publication:
11 2020
Historique:
pubmed: 23 7 2020
medline: 21 11 2020
entrez: 23 7 2020
Statut: ppublish

Résumé

To forecast the volume of cataract surgery in Medicare beneficiaries in the United States in 2020 and to estimate the surgical backlog that may be created due to COVID-19. Medicare Beneficiaries, United States. Epidemiologic modeling. Baseline trends in cataract surgery among Medicare beneficiaries were assessed by querying the Medicare Part B Provider Utilization National Summary data. It was assumed that once the surgical deferment is over, there will be a ramp-up period; this was modeled using a stochastic Monte Carlo simulation. Total surgical backlog 2 years postsuspension was estimated. Sensitivity analyses were used to test model assumptions. Assuming cataract surgeries were to resume in May 2020, it would take 4 months under an optimistic scenario to revert to 90% of the expected pre-COVID forecasted volume. At 2-year postsuspension, the resulting backlog would be between 1.1 and 1.6 million cases. Sensitivity analyses revealed that a substantial surgical backlog would remain despite potentially lower surgical demand in the future. Suspension of elective cataract surgical care during the COVID-19 surge might have a lasting impact on ophthalmology and will likely result in a cataract surgical patient backlog. These data may aid physicians, payers, and policymakers in planning for postpandemic recovery.

Identifiants

pubmed: 32694309
doi: 10.1097/j.jcrs.0000000000000337
pmc: PMC7416873
pii: 02158034-202011000-00012
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1530-1533

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Auteurs

Shruti Aggarwal (S)

From Cornea and Refractive Surgery, Katzen Eye Institute (Aggarwal), Jain Ventures LLC (P. Jain), and Johns Hopkins University (A. Jain), Baltimore, Maryland, USA.

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Classifications MeSH