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10.1097/j.jcrs.0000000000000337

http://scihub22266oqcxt.onion/10.1097/j.jcrs.0000000000000337
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32694309!7416873!32694309
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suck abstract from ncbi


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pmid32694309      J+Cataract+Refract+Surg 2020 ; 46 (11): 1530-1533
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  • COVID-19 and cataract surgery backlog in Medicare beneficiaries #MMPMID32694309
  • Aggarwal S; Jain P; Jain A
  • J Cataract Refract Surg 2020[Nov]; 46 (11): 1530-1533 PMID32694309show ga
  • PURPOSE: 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. SETTING: Medicare Beneficiaries, United States. DESIGN: Epidemiologic modeling. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
  • |*Betacoronavirus[MESH]
  • |*Forecasting[MESH]
  • |*Models, Statistical[MESH]
  • |Aged[MESH]
  • |COVID-19[MESH]
  • |Cataract Extraction/*statistics & numerical data[MESH]
  • |Coronavirus Infections/*epidemiology[MESH]
  • |Databases, Factual[MESH]
  • |Delivery of Health Care/statistics & numerical data[MESH]
  • |Elective Surgical Procedures/*statistics & numerical data[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Medicare Part B/*statistics & numerical data[MESH]
  • |Monte Carlo Method[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*epidemiology[MESH]
  • |SARS-CoV-2[MESH]


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