Health impacts of COVID-19 disruptions to primary cervical screening by time since last screen: A model-based analysis for current and future disruptions.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
25 Jul 2022
Historique:
entrez: 4 8 2022
pubmed: 5 8 2022
medline: 5 8 2022
Statut: epublish

Résumé

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 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 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 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 under-screened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions. This 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 O'Mahony is funded by Ireland's 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.

Sections du résumé

Background UNASSIGNED
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.
Methods UNASSIGNED
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 HPV-based screening.
Results UNASSIGNED
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 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 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.
Conclusions UNASSIGNED
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 under-screened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions.
Funding UNASSIGNED
This 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 O'Mahony is funded by Ireland's 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.

Identifiants

pubmed: 35923317
doi: 10.1101/2022.07.25.22278011
pmc: PMC9347288
pii:
doi:

Types de publication

Preprint

Langues

eng

Commentaires et corrections

Type : UpdateIn

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Auteurs

Emily A Burger (EA)

Department of Health Management and Health Economics, University of Oslo, Oslo, Norway.

Inge M C M de Kok (IMCM)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

James F O'Mahony (JF)

Centre for Health Policy & Management, School of Medicine, Trinity College Dublin, Dublin, Ireland.

Matejka Rebolj (M)

King's College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London, United Kingdom.

Erik E L Jansen (EEL)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Daniel D de Bondt (DD)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

James Killen (J)

Cancer Research Division, Cancer Council NSW, Sydney, Australia.

Sharon J Hanley (SJ)

Department of Obstetrics and Gynaecology, Hokkaido University, Sapporo, Japan.

Alejandra Castanon (A)

King's College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London, United Kingdom.

Jane J Kim (JJ)

Harvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA.

Karen Canfell (K)

Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.

Megan A Smith (MA)

Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.

Mary Caroline Regan (MC)

Harvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA.

Classifications MeSH