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A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions.
Burger, Emily A; de Kok, Inge M C M; O'Mahony, James F; Rebolj, Matejka; Jansen, Erik E L; de Bondt, Daniel D; Killen, James; Hanley, Sharon J; Castanon, Alejandra; Regan, Mary Caroline; Kim, Jane J; Canfell, Karen; Smith, Megan A.
  • Burger EA; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, United States.
  • de Kok IMCM; Department of Health Management and Health Economics, University of Oslo, Oslo, Norway.
  • O'Mahony JF; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Rebolj M; Centre for Health Policy & Management, School of Medicine, Trinity College Dublin, Dublin, Ireland.
  • Jansen EEL; Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.
  • de Bondt DD; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Killen J; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Hanley SJ; Cancer Research Division, Cancer Council NSW, Sydney, Australia.
  • Castanon A; Hokkaido University Center for Environmental and Health Sciences, Sapporo, Japan.
  • Regan MC; Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.
  • Kim JJ; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, United States.
  • Canfell K; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, United States.
  • Smith MA; Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.
Elife ; 112022 10 12.
Article in English | MEDLINE | ID: covidwho-2067165
ABSTRACT
We 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. We 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 human papillomavirus (HPV)-based screening. Models 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 underscreened women whose last cytology screen was 5 years prior to the disruption period compared with guidelines-compliant women (i.e., last screen 3 years prior to disruption). Over a woman's 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 woman's 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. Our 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 underscreened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Papillomavirus Infections / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans Language: English Year: 2022 Document Type: Article Affiliation country: ELife.81711

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Papillomavirus Infections / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans Language: English Year: 2022 Document Type: Article Affiliation country: ELife.81711