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Health impacts of COVID-19 disruptions to primary cervical screening by time since last screen: A model-based analysis for current and future disruptions
Emily Annika Burger; Inge de Kok; James O'Mahony; Matejka Rebolj; Erik E.L. Jansen; Daniel D. de Bondt; James Killen; Sharon J. Hanley; Alejandra Castanon; Mary Caroline Regan; Jane J. Kim; Karen Canfell; Megan A. Smith.
Affiliation
  • Emily Annika Burger; Harvard T.H. Chan School of Public Health
  • Inge de Kok; Erasmus MC
  • James O'Mahony; Trinity College Dublin
  • Matejka Rebolj; King's College London
  • Erik E.L. Jansen; Erasmus MC
  • Daniel D. de Bondt; Erasmus MC
  • James Killen; Daffodil Center
  • Sharon J. Hanley; Hokkaido Bunkyo University
  • Alejandra Castanon; King's College London
  • Mary Caroline Regan; Harvard T.H. Chan School of Public Health
  • Jane J. Kim; Harvard T.H. Chan School of Public Health
  • Karen Canfell; Daffodil Center
  • Megan A. Smith; Daffodil Center
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22278011
ABSTRACT
BackgroundWe evaluated how temporary disruptions to primary cervical cancer (CC) screening services may differentially impact women due to heterogeneity in their screening history and test modality. MethodsWe used three CC models to project the short- and long-term health impacts assuming an underlying primary screening frequency (i.e., 1, 3, 5, or 10 yearly) under three alternative COVID-19-related screening disruption scenarios (i.e., 1-, 2- or 5-year delay) versus no delay, in the context of both cytology-based and HPV-based screening. ResultsModels projected a relative increase in symptomatically-detected cancer cases during a 1-year delay period that was 38% higher (Policy1-Cervix), 80% higher (Harvard) and 170% higher (MISCAN-Cervix) for under-screened women whose last cytology screen was 5 years prior to the disruption period compared with guidelines-compliant women (i.e., last screen three years prior to disruption). Over a womans lifetime, temporary COVID-19-related delays had less impact on lifetime risk of developing CC than screening frequency and test modality; however, CC risks increased disproportionately the longer time had elapsed since a womans last screen at the time of the disruption. Excess risks for a given delay period were generally lower for HPV-based screeners than for cytology-based screeners ConclusionsOur independent models predicted that the main drivers of CC risk were screening frequency and screening modality, and the overall impact of disruptions from the pandemic on CC outcomes may be small. However, screening disruptions disproportionately affect under-screened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions. FundingThis study was supported by funding from the National Cancer Institute (U01CA199334). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute. Megan A Smith receives salary support from the National Health and Medical Research Council, Australia (APP1159491) and Cancer Institute NSW (ECF181561). Matejka Rebolj is funded by Cancer Research UK (reference C8162/A27047). James OMahony is funded by Irelands Health Research Board (EIA2017054). Karen Canfell receives salary support from the National Health and Medical Research Council, Australia (APP1194679). Emily A. Burger receives salary support from the Norwegian Cancer Society.
License
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Experimental_studies / Prognostic_studies Language: En Year: 2022 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Experimental_studies / Prognostic_studies Language: En Year: 2022 Document type: Preprint
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