Impact of COVID-19 pandemic on breast and cervical cancer screening in Denmark: A register-based study

  1. Mette Hartmann Nonboe  Is a corresponding author
  2. George Napolitano
  3. Jeppe Bennekou Schroll
  4. Ilse Vejborg
  5. Marianne Waldstrøm
  6. Elsebeth Lynge
  1. Center for Epidemiological Research, Nykøbing Falster Hospital, Denmark
  2. Department of Public Health, University of Copenhagen, Denmark
  3. Department of Gynecology and Obstetrics, Odense University Hospital, Denmark
  4. Department of Breast Examinations, Copenhagen University Hospital Herlev/Gentofte, Denmark
  5. Department of Pathology, Aarhus University Hospital, Denmark
6 figures, 3 tables and 3 additional files

Figures

Weekly number of mammography screens, Denmark 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Decomposition of time series in number of mammography screens into seasonal, trend, and irregular component, Denmark 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Figure 3 with 1 supplement
Seasonal-adjusted time series and fitted model of the number of mammography screens, Denmark 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Figure 3—figure supplement 1
Seasonal-adjusted time series and fitted model of the number of mammography screens, by region 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Time series of the weekly number of cervical, Denmark 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Decomposition of time series in number of cervical cancer screens into seasonal, trend, and irregular component, Denmark 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Figure 6 with 1 supplement
Seasonal-adjusted monthly time series and fitted model of the number of cervical cancer screens, Denmark 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Figure 6—figure supplement 1
Seasonal-adjusted time series and fitted model of the number of cervical cancer screens, by region 2017–2021.

Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Tables

Table 1
Number of mammography and cervical screens by year and region, Denmark 2017–2021.
RegionMammography screeningCervical screening
Year 2017Year 2018Year 2019Year 2020Year 2021Year 2017Year 2018Year 2019Year 2020Year 2021
Denmark289,150290,275282,426260,508270,303443.126348,950344,045306,472323,598
Capital78,32375,41575,96465,01251,457155,022124,149120,329110,655116,145
Central67,28268,11766,89563,04369,71997,77577,20084,09972,00675,967
North30,83531,03330,41531,97826,53243,81834,43533,71929,29332,288
South70,39669,46868,27164,10872,87688,54067,89664,97257,10859,738
Zealand42,31446,24240,88136,36749,71957,97145,27040,92637,41039,460
  1. Source: Own calculations based on numbers provided by the Danish Health Data Authority.

Table 2
Estimated changes in number of seasonally adjusted mammography screens.

Denmark and regions, 2017–2021. Reductions and increases are with respect to the average base line.

Time periodEstimated change in percent
Denmark24 February 2020 – 22 March 2020
23 March – 19 April 2020
16 August 2021 – 02 January 2022
–22.6% [CI –30.1 to –14.4]
–43.3% [CI –49.0 to –36.9]
–17.0% [CI –21.2 to –12.6]
Capital30 December 2019 – 18 July 2021
23 March 2020 – 19 April 2020
19 July 2021 – 15 August 2021
16 August 2021 – 12 September 2021
13 September 2021 – 10 October 2021
11 November 2021 – 02 January 2022
–11.8% [CI –15.7 to –7.7] – (level shift)
–43.5% [CI –51.6 to –34.1]
–34.0% [CI –43.4 to –23.1]
–67.2 [CI –72.1 to –61.3]
–85.3 [CI –88.1 to –81.9]
–41.3 [CI –49.5 to –31.8]
Central24 February 2020 – 22 March 2020
23 March 2020 – 19 April 2020
–15.7% [CI –24.4 to –6.1]
–38.2% [CI –44.7 to –30.9]
North24 May 2021 – 02 January 20227.5% [CI 5.1–9.9]
South23 March 2020 – 19 April 2020–43.5% [CI –53.5 to –31.4]
Zealand24 February 2020 – 19 April 2020
02 November 2020 – 02 January 2022
–51.5% [CI –58.5 to –43.3]
1.6% [CI 0.7–2.5]
  1. Source: Own calculations based on numbers provided by The Danish Health Data Authority.

Table 3
Estimated changes in number of seasonally adjusted cervical cell samples.

Denmark and regions, 2018–2020. Reductions and increases are with respect to the average base line.

Time periodEstimated change in percent
Denmark6 November 2017 – 02 January 2022
24 February 2020 – 22 March 2020
23 March – 19 April 2020
21 June 2021 – 18 July 2021
–1.9% [CI –2.9 to –0.8] annual reduction
–30.7% [CI –36.5 to –24.3]
–61.9% [CI –65.2 to –58.2]
–20.3% [CI –27.1 to –12.9]
Capital24 February 2020 – 22 March 2020
23 March 2020 – 19 April 2020
21 June 2021 – 18 July 2021
–32.4% [CI –38.1 to –26.1]
–57.9% [CI –61.7 to –53.7]
–23.8% [CI –30.3 to –16.8]
Central24 February 2020 – 22 March 2020
23 March 2020 – 19 April 2020
21 June 2021 – 18 July 2021
–31.0% [CI –37.6 to –23.8]
–62.8% [CI –66.6 to –58.5]
–24.0 [CI –31.2 to –16.0]
North09 September 2019 – 02 January 2022
24 February 2020 – 22 March 2020
23 March 2020 – 19 April 2020
29 March 2021 –25 April 2021
–6.9% [CI –8.9 to –4.8] annual reduction
–33.9% [CI –41.5 to –25.3]
–61.1% [CI –65.9 to –55.5]
94.5% [CI 72.9–118.8]
South01 January 2018 – 02 January 2022
23 March 2020 – 19 April 2020
21 June 2021 – 18 July 2021
–5.0% [CI –6.4 to –3.6] annual reduction
–60.4% [CI –64.4 to –55.9]
–19.6 [CI –27.6 to –10.8]
Zealand23 March 2020 – 19 April 2020
01 March 2021 – 28 March 2021
21 June 2021 – 18 July 2021
–67.6% [CI –71.8 to –62.7]
31.9% [CI 16.0–50.0]
–12.7% [CI –23.4 to –0.6]
  1. Source: Own calculations based on numbers provided by The Danish Health Data Authority.

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  1. Mette Hartmann Nonboe
  2. George Napolitano
  3. Jeppe Bennekou Schroll
  4. Ilse Vejborg
  5. Marianne Waldstrøm
  6. Elsebeth Lynge
(2023)
Impact of COVID-19 pandemic on breast and cervical cancer screening in Denmark: A register-based study
eLife 12:e81605.
https://doi.org/10.7554/eLife.81605