Skip to main content

Inequalities in colorectal cancer screening uptake in Wales: an examination of the impact of the temporary suspension of the screening programme during the COVID-19 pandemic



Response to the early stages of the COVID-19 pandemic resulted in the temporary disruption of cancer screening in the UK, and strong public messaging to stay safe and to protect NHS capacity. Following reintroduction in services, we explored the impact on inequalities in uptake of the Bowel Screening Wales (BSW) programme to identify groups who may benefit from tailored interventions.


Records within the BSW were linked to electronic health records (EHR) and administrative data within the Secured Anonymised Information Linkage (SAIL) Databank. Ethnic group was obtained from a linked data method available within SAIL. We examined uptake for the first 3 months of invitations (August to October) following the reintroduction of BSW programme in 2020, compared to the same period in the preceding 3 years. Uptake was measured across a 6 month follow-up period. Logistic models were conducted to analyse variations in uptake by sex, age group, income deprivation quintile, urban/rural location, ethnic group, and clinically extremely vulnerable (CEV) status in each period; and to compare uptake within sociodemographic groups between different periods.


Uptake during August to October 2020 (period 2020/21; 60.4%) declined compared to the same period in 2019/20 (62.7%) but remained above the 60% Welsh standard. Variation by sex, age, income deprivation, and ethnic groups was observed in all periods studied. Compared to the pre-pandemic period in 2019/20, uptake declined for most demographic groups, except for older individuals (70–74 years) and those in the most income deprived group. Uptake continues to be lower in males, younger individuals, people living in the most income deprived areas and those of Asian and unknown ethnic backgrounds.


Our findings are encouraging with overall uptake achieving the 60% Welsh standard during the first three months after the programme restarted in 2020 despite the disruption. Inequalities did not worsen after the programme resumed activities but variations in CRC screening in Wales associated with sex, age, deprivation and ethnic group remain. This needs to be considered in targeting strategies to improve uptake and informed choice in CRC screening to avoid exacerbating disparities in CRC outcomes as screening services recover from the pandemic.

Peer Review reports


Colorectal cancer (CRC) is estimated to be the third most common cancer and the second leading cause of cancer death globally [1]. In Wales, over 900 people die from the disease every year [2, 3]. Population-level screening programmes have been shown to reduce long-term CRC cancer mortality by up to 27% [4, 5]. However, the success of CRC screening largely depends on uptake among the invited population [6]. The Bowel Screening Wales (BSW) programme was launched in October 2008 with the aim to reduce mortality from CRC cancer in Wales by 15% by 2020 in the group of people invited for screening. The screening-eligible population (adults between 60 and 74 years) is identified on the Welsh Demographic System based on the date of birth and invited to participate in the screening programme every 2 years [7]. Since October 2021, the programme has been expanded to include 58–59 years olds. In 2019, the BSW programme introduced a more accurate test, the easier-to-use liquid faecal immunochemical test (FIT) instead of the guaiac-based faecal occult blood test (gFOBT), as a strategy to reduce inequity of uptake as this is simpler to use and more acceptable (one stool sample instead of the three required for gFOBT) [8, 9].

Previous studies have shown that in population-based disease prevention and promotion programmes, significant social inequalities exist by socioeconomic status, sex, and age [10,11,12]. In addition, several international studies have also reported inequalities in the uptake of cancer screening programmes among ethnic minorities [13,14,15]. Evidence from the cancer screening programmes in England and Scotland indicates lower participation among ethnic minorities, irrespective of socioeconomic background [16,17,18]. The presence and extent of ethnic inequalities in Wales is unknown. This information gap is contrary to the legal and policy commitments in the UK and specifically from Wales to tackle health inequalities and promote racial equality [19, 20].

The global SARSCoV-2 pandemic saw unprecedented disruption to cancer screening in 2020, with national lockdowns and prioritisation of COVID-19 services causing many screening programmes to be paused [2123]. In Wales, the decision was taken to suspend invitations to the BSW programme from 20th March 2020 [24]. The suspension of invitations lasted approximately 4-months, with invitations recommencing in August 2020. Although this temporary suspension was necessary as referral for screening colonoscopy was not possible, the interruption of CRC screening programmes due to the pandemic impacted specialist referrals, diagnostic procedures, and treatment pathways [25]. In Wales, Greene and colleagues showed that CRC incidence decreased almost a fifth (17.2%) during 2020 overall, and by 59.9% during April 2020, compared to April 2019, coinciding with the strict lockdown implemented at the end of March 2020 [24]. Whilst there is national and international evidence for a rebound in uptake following the temporary suspension of the CRC programmes [24, 26, 27], the return is not expected to be even across the population, with concerns that underserved groups, including those socioeconomically disadvantaged, those considered clinically extremely vulnerable (CEV) and ethnic minorities falling behind due to the unequal impact that COVID-19 has had in these communities[26, 28].

As health systems recover from the disruption and reintroduce routine services, gaining a better understanding of the impact of COVID-19 on inequalities is crucial to inform future action to avoid further widening of inequalities in CRC screening and improve uptake in those subgroups of the population that may be slower to reengage. This study aimed to examine the impact of the temporary suspension of the BSW programme and highlight inequalities that may benefit from tailored interventions. We first describe uptake patterns by sociodemographics for the first 3 months (August to October) of invitations following the programme’s suspension. Secondly, we compare uptake patterns in 2020/21 to the pre-pandemic period in 2019/20. Finally, to put the programme’s temporary suspension into a wider context, we explore uptake patterns of the same period from 2017/18 onwards.


Study sample and data sources

All data accessed for this study was available within the Wales national trusted research environment (TRE) known as the Secure Anonymised Information Linkage (SAIL) Databank, hosted at Swansea University, Swansea, UK. All data acquisition into SAIL is completed through a standard split-file process, with anonymisation and encryption enabling anonymised individual-level, population-scale data to be accessed within SAIL. During this process an individual’s identity is removed and replaced with an Anonymised Linking Field (ALF), based on their NHS Number or combination of unique identifiers including name, date of birth, and sex [29, 30]. CRC screening data was extracted from the BSW dataset for all people aged 60–74 years of age and living in Wales at the time of their invitation. BSW data for 2020/21 was available from 1st August 2020 (when the invitations re-started) to 30th April 2021 (which was the most up-to-date BSW data at the time of the analysis). Therefore, we considered a 3-month invitation period (August to October 2020), with a maximum of 6-month follow-up period for participant response (to April 2021). To make comparisons possible, we selected the same period (invitations from August to October with a maximum of 6-months follow-up) from the same period in the 3 preceding years (2019/20, 2018/19, and 2017/18) (Fig. 1).

Fig. 1
figure 1

Waves of 3-month invitation period and 6-month follow-up period included in the analysis for each year

Sociodemographic variables and data sources.

Sex, age, and Lower-layer Super Output Area (LSOA) of residence were obtained from the Welsh Demographic Service Dataset (WDSD) as of 22nd November 2021. LSOA of residence for individuals’ most recent address was linked to the Welsh Index of Multiple Deprivation (WIMD) 2019 income quintiles to assign a measure of deprivation [31]. We used the income domain to assess material deprivation as the use of the overall index is problematic due to the circularity of the health domain when assessing health outcomes. The rural/urban classification of the individual’s residence was assigned by linking the LSOA to the Office for National Statistics (ONS) 2011 classification data [32]. Data from those individuals who were identified as CEV was sourced from the COVID-19 Shielded People List (CVSP) data, which is a list of all individuals in Wales who were identified as clinically extremely vulnerable to infection from COVID-19, based on clinician assessment and general practice records [33]. Finally, ethnic group was obtained from a linked data method available within SAIL using over 20 electronic health records (EHR) and administrative data sources, including the ONS 2011 census, to harmonise the various values of defining ethnic group in each respective data source into a standardised ethnic group classification of the ONS five groups (white, mixed, Asian, black, and other) [34]. Repeated records, those with a low ALF matching rate (not allowing health data linkage), those outside the age range, non-routine recall invitations, and records from people deceased within 6 months of the invitation were excluded from the analysis (Fig. 2). After excluding individuals with missing socio-demographic and repeated records (N = 265,234) records were included in the analysis.

Fig. 2
figure 2

Data download

Statistical analysis

Uptake was defined as the percentage of those invited who returned the test kit by post within 6-months of being sent the invitation letter [7]. Descriptive statistics were calculated for all sociodemographic factors. Overall uptake percentages were calculated for each period of data, and adjusted proportions were calculated for sociodemographic subgroups using generalised linear models and reported as estimated marginal means with 95% confidence intervals. Binary logistic regression was used to examine differences in screening uptake in univariate analysis by ethnic group, age group, sex, income deprivation, and rural/urban location of residence, and in multivariate analysis adjusting for these factors. In addition, logistic regression models were conducted to compare uptake differences between periods. Statistical significance was set at p < 0.05. Analysis was conducted with SPSS v.25 (IBM Corp., Armonk, New York, USA).


Table 1 shows the sample characteristics. The sample was predominantly of white ethnic background (83.0%), female (51.1%) and lived in rural locations (64.2%). In 4.8% of the overall sample, records could not be linked to LSOA data (Table 1).

Overall uptake and variation by demographics following the temporary suspension of the programme (2020/21)

In 2020/21, overall uptake during the 3 months following the programme’s suspension (60.4%) was above the 60% Welsh standard (Fig. 3). Uptake was higher in females (61.3% vs. 59.5% for men; OR 1.07 95%, CI 1.04–1.11, p < 0.001), older individuals, peaking in the group aged 70–74 years (68.5% vs. 55.0% for 60–64 years; OR 1.78, 95% CI 1.71–1.86) and in rural location (61.3% vs. 60.1% for urban location; OR 1.05, 95% CI 1.01–1.09) (Table 2; Fig. 4a and c).

Table 1 Sample characteristics (n = 265,234)
Fig. 3
figure 3

Number of screening-eligible adults and CRC screening uptake (%) by period

During this period, uptake was socially graded between most and least income deprived quintiles, with those mid-income to least deprived (61.0% for Q3 to 65.0% for Q5) meeting the Welsh standard but not those in the most deprived income quintiles (58.0% for Q2 to 54.8% for Q1). Those from most income deprived areas were less likely (OR 0.65, 95% CI 0.62 to 0.692, p < 0.001) to participate in the programme than those from least income deprived areas. Ethnic group comparisons showed that uptake in the Asian ethnic group (49.1%; OR 0.58, 95% CI 0.48–0.71, p < 0.001) and those with unknown ethnic background (51.4%; OR 0.63, 95% 0.61–0.66, p < 0.001) was lower than their white counterparts (62.5%) (Fig. 4d and e). Uptake was also significantly lower in people who were recommended to shield at the start of the pandemic (57.8% vs. 60.7%; OR 0.89, 95% CI 0.84–0.94, p < 0.001) compared to non-CEV population.

. These differences remained significant after adjusting for all other sociodemographic variables, except that the difference between rural and urban locations was no longer significant (60.5% for both locations, p > 0.05) (Table 2).

Uptake compared to the pre-pandemic period (2019/20)

Overall, uptake decreased significantly during 2020/21 compared to the same 3-month period in 2019/20 (60.4% vs. 62.7%, OR 0.91, 95% CI 0.89–0.93, p < 0.001) (Table 3; Fig. 3). Uptake declined significantly for most sociodemographic groups (Table 3). However, when looking by age, no significant change was seen in those aged 70–74 years (68.5% vs. 68.0% for 2019/20, OR 1.03, 95% CI 0.98–1.07, p > 0.241) and for area-level income-deprivation, there was no significant change for those in the most income deprived quintile (54.8% vs. 53.9% for 2019/20, OR 1.04, 95% 0.98–1.10, p = 0.231). When looking by ethnic group, a significant decline was seen for those of white (62.5% vs. 65.1% for 2019/20, OR 0.89, 95% CI 0.87–0.92, p < 0.001) and Asian ethnic background (49.1% vs. 55.8% for 2029/20, OR 0.77, 95% CI 0.59–0.96, p = 0.045). This decline in uptake during 2020/21 among the Asian ethnic group was no longer significant after adjustment for other demographic variables, and there was no evidence of a statistically significant change in uptake for any other ethnicgroups (Table 3; Fig. 4a and e).

Table 2 Univariable and multivariable analysis of BSW uptake for invitations during 3-month period in 2020/21 (Invitation period 1st August-31st October)
Fig. 4
figure 4

Uptake of CRC screening by 3-month period, stratified by demographics

Table 3 BSW uptake variation by demographics between period in 2020/21 and period 2019/20 (Invitation period 1st August-31st October)

Longer-term trends in CRC screening uptake

To put the temporary programme’s suspension during the 3-month period in 2020/21 into context, we examined differences in uptake during the same period from 2017/18 to 2020/21. Compared to period 2020/21, the uptake of the BSW programme was lower than the Welsh standard in 2018/19 (52.8%) and 2017/18 (56.0%) (Fig. 3). When examining differences between sociodemographic groups, a similar pattern of inequalities was found across all years studied; with uptake in males, younger older adults (particularly those aged 60–64 years), those in the most income deprived quintiles (Q1-Q2), and ethnic minorities below the 60% Welsh standard (Supplementary tables S1-S3). However, in period 2019/20, uptake showed a significant increase among all sociodemographic groups, including low uptake groups such as males (61.8% vs. 51.3% for 2018/19; OR 0.65, 95% CI 0.63–0.67, p < 0.001), those aged 60–64 years (58.5% vs. 51.3% for 2018/19; OR 0.75, 95% CI 0.72–0.77, p < 0.001), those in the most income deprived quintile (53.9% vs. 44.4% for 2018/19; OR 0.69, 95% CI 0.65–0.72, p < 0.001), and individuals of Asian (55.8% vs. 45.2% for 2018/19; OR 0.65, 95% CI 0.51–0.83, p < 0.001), and unknown ethnic background (51.2% vs. 42.1% for 2018/19; OR 0.69, 95% CI 0.66–0.73). These differences remained significant after adjusting for other variables (Table 4; Fig. 4a and e).

Table 4 BSW uptake variation by demographics between period 2019/20 and period 2018/19 (Invitation period 1st August-31st October)


This study provides population-level data on CRC screening in Wales and explores the impact of the programme’s temporary suspension due to COVID-19 on uptake inequalities following the reintroduction of the programme. It also compares patterns of inequalities with similar periods in the 3 preceding years.

Findings from this study show that overall uptake of the BSW programme remained above the 60% Welsh standard [7] following the temporary suspension of the BSW programme due to the pandemic. However, it was significantly lower than in the pre-pandemic period despite being a home-based test. This decline is important to consider in the context of the impact of the pandemic reported on other health services within the cancer pathway, including cancer-related referrals and diagnoses in Wales [24].

Comparing uptake rates between these 3-month periods in 2019/20 and 2020/21, some groups were less likely to engage with screening services. Engagement was lower than previously seen for younger older adults (< 70 year old age groups, but particularly those aged 60–64 year olds) while those aged 70–74 year olds showed no significant decline. The drop in uptake in 2020/21 was larger in rural residents as well as in those living in the least deprived income areas (Q3 to Q5). This finding contrasts with no change in uptake among those living in more deprived income areas (Q1 to Q2), which is a positive finding. Nonetheless, levels of screening uptake for the most income deprived remained both below the Welsh standard and the levels seen for those living in the least income deprived areas. Uptake declined in both sexes but continued to be significantly higher in females. For ethnic minorities, small sample sizes precluded us from detecting statistically differences in uptake by ethnic group, particularly in the Asian and black ethnic groups such as those found in the English CRC screening programme [17, 35]. Overall, this suggests that the impact of the programme’s temporary suspension on inequalities varied. Across different demographic characteristics, those less likely to engage with screening before the pandemic were not always those who showed the biggest reduction in uptake when screening services resumed.

Inequalities observed by sex, age, and deprivation were observed in all periods studied. These inequalities are similar to what has been reported internationally and in the English and Scottish CRC screening programmes since their inception [10, 12, 36]. In addition, our study supports findings from other studies conducted in the UK, indicating that ethnic background influences cancer screening, irrespective of income deprivation and rural/urban residence [15, 16]. The mechanism driving this is beyond the scope of this study, but the large influence of cultural attitudes and beliefs relating to cancer screening well documented in the literature could explain the lower uptake seen in ethnic minorities [37, 38]. The full impact of the pandemic on CRC screening services amongst ethnic minorities requires further investigation.

Our study showed that overall uptake met the Welsh standard for the first time during the pre-pandemic period (2019/20), which could be related to the introduction of the easier-to-use test in during 2019 and continued efforts to target low uptake groups with different strategies such as repeat invitations [39]. Findings from the CRC screening programme in England also indicate that the introduction of the FIT resulted in higher uptake rates in males and across all deprivation quintiles [40]. We found that the difference between males and females started to reduce during 2019/20 due to greater gains in men, and uptake increased across all income quintiles but particularly in those in the most deprived income quintile. The new test’s introduction also appeared to positively impact all age and ethnic groups. However, our findings indicate that although there has been progress, uptake amongst low uptake groups including males, younger individuals, those in the most deprived quintiles, and ethnic minorities remains below the 60% Welsh standard.

Strengths and limitations

To our knowledge this is the first study to include census linkage to look at CRC screening uptake by ethnic group, enabling a population-scale analysis of inequalities. Nonetheless, the ethnic grouping used in this study is broad and whilst grouping large visible ethnic groups is needed to avoid potentially disclosive numbers, it is problematic as it can hide key variations among ethnic groups. Furthermore, there are also important cultural and religious differences between ethnic minorities that have been shown to have an impact on cancer screening programmes [17, 37, 41]. Differences between white ethnic groups have also been found in other cancer screening programmes in the UK, but there is no data available for CRC screening programmes [16]. In addition, Wales is less ethnically diverse than most regions of England, with a small ethnically diverse population (5.9%) concentrated in urban locations such as Swansea, Cardiff, and Newport [42]. Given small numbers, comparisons between ethnic groups have limited statistical power. For the same reason, exploring the interaction between ethnic group and deprivation and/or location was not possible. BSW uptake in the population with an unknown ethnic group is low and this group needs further investigation. Improving the completeness and consistency of routinely collected ethnic group data in cancer screening programmes and greater transparency of linkage methods is crucial to obtaining disaggregated data by ethnic groups that can be used to plan public health strategies accordingly [43, 44] .

We are only reporting on the first 3 months after the service resumed activities after the suspension of the service and comparing this to similar periods in previous years. However, the transition to the FIT in 2019 was a significant improvement in the BSW programme, which impacts our ability to compare uptake to previous years. In addition, the volume of invitations sent in period 2020/21 was lower than pre-pandemic levels as the services were still operating at reduced capacity due to pandemic control measures. Priority was given to re-invite participants whose tests were not processed due to the disruption, those who have not been screened before, and to delayed invitations. Finally, aligned to internal monitoring of the BSW programme [7] and similar to other studies [40, 45] we used a 6-month follow-up to measure uptake in all periods studied but not all test kits returned by participants during April 2020 (included in period 2019/20) were processed due to the suspension of colonoscopy services and thus, the difference in uptake between period 2019/20 and 2020/21 might have been larger than the one reported. Nevertheless, the early findings from the BSW programme are encouraging but uptake will need to be continually monitored as the impact of the temporary suspension of the programme due to the pandemic may not be fully understood until more time has passed [45]. Analysing annual data with respect to ethnic groups is also needed to identify any meaningful differences, but the required annual coverage of the data is not yet available in the SAIL Databank to analyse due to competing priorities for services as a result of the pandemic. Finally, the current study may be subject to ecological fallacy, where the associations may not be true at an individual level. However, all confounders included in our analysis are known to influence CRC screening participation.

Findings from this study add to the evidence base on inequalities in CRC screening and can inform future prioritisation strategies to promote equality of uptake and informed choice to assist with ongoing service recovery planning.


Our findings are encouraging with overall uptake achieving the 60% Welsh standard during the first three months after the programme restarted in 2020 despite the disruption. The impact of the programme’s temporary suspension due to COVID-19 on inequalities varied. Across different demographic characteristics, those less likely to engage with screening prior to the pandemic were not always those who showed the biggest reduction in uptake following the reintroduction of the BSW programme. We showed that inequalities did not worsen during the first 3 months of invitations after the programme resumed activities but variations in CRC screening in Wales associated with sex, age, deprivation and ethnic group remain. This needs to be considered in targeting interventions to promote equality of uptake and informed choice to avoid exacerbating disparities in CRC outcomes as screening services recover from the pandemic.

Data Availability

The data that support the findings of this study are available from the SAIL Databank at Swansea University, Swansea, UK but restrictions apply to the availability of these data, which were used under approval by an independent Information Governance Review Panel (IGRP) for the current study, and so are not publicly available. Data are however available from the SAIL Databank upon completing an application process to access data via SAIL at


  1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.

    Article  PubMed  Google Scholar 

  2. Public Health Wales. Cancer Incidence in Wales, 2002–2018. Data for FY2018, persons aged 60–74. 2021. Available from: Accessed 20 Mar 2022.

  3. Public Health Wales. Cancer Mortality in Wales, 2002–2021. 2022. Available from: Accessed 20 Mar 2022.

  4. Scholefield JH, Moss S, Sufi F, Mangham CM, Hardcastle JD. Effect of faecal occult blood screening on mortality from colorectal cancer: results from a randomised controlled trial. Gut. 2002;50(6):840–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Schreuders EH, Ruco A, Rabeneck L, Schoen RE, Sung JJY, Young GP, et al. Colorectal cancer screening: a global overview of existing programmes. Gut. 2015;64(10):1637–49.

    Article  PubMed  Google Scholar 

  6. Scholefield JH, Moss SM, Mangham CM, Whynes DK, Hardcastle JD. Nottingham trial of faecal occult blood testing for colorectal cancer: a 20-year follow-up. Gut. 2012;61(7):1036–40.

    Article  CAS  PubMed  Google Scholar 

  7. Public Health Wales. Bowel Screening Wales Annual Statistical Report 2019-20. 2021. Available from: Accessed 14/02/2023.

  8. Chambers JA, Callander AS, Grangeret R, O’Carroll RE. Attitudes towards the Faecal Occult Blood Test (FOBT) versus the Faecal Immunochemical Test (FIT) for colorectal cancer screening: perceived ease of completion and disgust. BMC Cancer. 2016;16(1):1–7.

    Article  CAS  Google Scholar 

  9. Vart G, Banzi R, Minozzi S. Comparing participation rates between immunochemical and guaiac faecal occult blood tests: a systematic review and meta-analysis. Prev Med. 2012;55(2):87–92.

    Article  PubMed  Google Scholar 

  10. Hurtado JL, Bacigalupe A, Calvo M, Esnaola S, Mendizabal N, Portillo I, et al. Social inequalities in a population based colorectal cancer screening programme in the Basque Country. BMC Public Health. 2015;15(1):1–14.

    Article  CAS  Google Scholar 

  11. von Wagner C, Baio G, Raine R, Snowball J, Morris S, Atkin W, et al. Inequalities in participation in an organized national colorectal cancer screening programme: results from the first 2.6 million invitations in England. Int J Epidemiol. 2011;40(3):712–8.

    Article  Google Scholar 

  12. Quyn AJ, Fraser CG, Stanners G, Carey FA, Carden C, Shaukat A, et al. Uptake trends in the Scottish Bowel Screening Programme and the influences of age, sex, and deprivation. J Med Screen. 2018;25(1):24–31.

    Article  PubMed  Google Scholar 

  13. Burnett-Hartman AN, Mehta SJ, Zheng Y, Ghai NR, McLerran DF et al. Racial/ethnic disparities in colorectal cancer screening across healthcare systems. Am J Prev Med. 2016;51(4): e107-e115. doi: 0.1016/j.amepre.2016.02.025.

  14. Ollberding NJ, Nomura AMY, Wilkens LR, Henderson BE, Kolonel LN. Racial/ethnic differences in colorectal cancer risk: the multiethnic cohort study. Int J Cancer. 2011;129(8):1899–906.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Price CL, Szczepura AK, Gumber AK, Patnick J. Comparison of breast and bowel cancer screening uptake patterns in a common cohort of south asian women in England. BMC Health Serv Res. 2010;10(1):1–9.

    Article  Google Scholar 

  16. Bansal N, Bhopal RS, Steiner MFC, Brewster DH. Major ethnic group differences in breast cancer screening uptake in Scotland are not extinguished by adjustment for indices of geographical residence, area deprivation, long-term illness and education. Br J Cancer. 2012;106(8):1361–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Szczepura A, Price C, Gumber A. Breast and bowel cancer screening uptake patterns over 15 years for UK south asian ethnic minority populations, corrected for differences in socio-demographic characteristics. BMC Public Health. 2008;8(1):1–5.

    Article  Google Scholar 

  18. Kerrison RS, Prentice A, Marshall S, Choglay S, Levitan M, Alter M, et al. Ethnic inequalities in older adults bowel cancer awareness: findings from a community survey conducted in an ethnically diverse region in England. BMC Public Health. 2021;21(1):1–3.

    Article  Google Scholar 

  19. Welsh Government. An Anti-racist Wales. Race Equality Action Plan for Wales. 2021. Available from: Accessed 21 Nov 2021.

  20. Equality Act. (2010). London: The Stationery Office Limited; 2010.

  21. Dekker E, Chiu HM, Lansdorp-Vogelaar I, Caro LE, Dominitz JA, Halloran S et al. Colorectal Cancer Screening in the Novel Coronavirus Disease-2019 Era. 2020; 159(6):1998–2003. doi:

  22. Mazidimoradi A, Tiznobaik A, Salehiniya H. Impact of the COVID-19 pandemic on Colorectal Cancer Screening: a systematic review. J Gastrointest Cancer. 2021.

    Article  PubMed  PubMed Central  Google Scholar 

  23. de Jonge L, Worthington J, van Wifferen F, Iragorri N, Peterse EFP, Lew J, Bin, et al. Impact of the COVID-19 pandemic on faecal immunochemical test-based colorectal cancer screening programmes in Australia, Canada, and the Netherlands: a comparative modelling study. Lancet Gastroenterol Hepatol. 2021;6(4):304–14. 10.1016/. S2468-1253(21)00003 – 0.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Greene G, Griffiths R, Akbari A, Han J, Jones M, Lawler M, et al. Impact of Societal Lockdown and Health System Response to the SARS-CoV-2 (COVID-19) Pandemic on Female Breast, Colorectal and Non-Small Cell Lung Cancer Incidence, Stage at Diagnosis and Referral Route During 2020 in Wales, UK: A Population Study Using a National Cancer Clinical Record System. 2020.

  25. Morris EJA, Goldacre R, Spata E, Mafham M, Finan PJ, Shelton J, et al. Impact of the COVID-19 pandemic on the detection and management of colorectal cancer in England: a population-based study. Lancet Gastroenterol Hepatol. 2021;6(3):199–208.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Carethers JM, Sengupta R, Blakey R, Ribas A, D’Souza G. Disparities in cancer prevention in the covid-19 era. Cancer Prev Res. 2020;13(11):893–6.

    Article  CAS  Google Scholar 

  27. Campbell C, Sommerfield T, Clark GRC, Porteous L, Milne AM, Millar R et al. COVID-19 and cancer screening in Scotland: A national and coordinated approach to minimising harm. 2020; 151:106606. doi:

  28. Balzora S, Issaka RB, Anyane-Yeboa A, Gray II, D. M., May FP. Impact of COVID-19 on colorectal cancer disparities and the way forward. Gastrointest Endosc. 2020;92(4):946–50.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lyons RA, Jones KH, John G, Brooks CJ, Verplancke JP, Ford DV, et al. The SAIL databank: linking multiple health and social care datasets. BMC Med Inform Decis Mak. 2009;9(1):1–8.

    Article  Google Scholar 

  30. Ford DV, Jones KH, Verplancke JP, Lyons RA, John G, Brown G, et al. The SAIL Databank: building a national architecture for e-health research and evaluation. BMC Health Serv Res. 2009;9:1–12.

    Article  Google Scholar 

  31. Welsh Government. Welsh Index of Multiple Deprivation 2019. 2020. Available from: Accessed 14 Jan 2022.

  32. Office for National Statistics. 2011 rural/urban classification. 2016. Available from: Accessed 16 Jan 2022.

  33. Public Health Wales NHS Trust. Identifying vulnerable patient lists. 2020. Available from: Accessed 16 Jan 2022.

  34. Abbasizanjani H, Torabi F, Bedston S, Bolton T, Davies G, Denaxas S, Griffiths R, Herbert L, Hollings S, Keene S, Khunti K. Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Med Inf Decis Mak. 2023;23(1):1–5.

    Article  Google Scholar 

  35. Martins T, Abel G, Ukoumunne OC, Mounce LTA, Price S, Lyratzopoulos G, et al. Ethnic inequalities in routes to diagnosis of cancer: a population-based UK cohort study. Br J Cancer. 2022;1–9.

  36. Hirst Y, Stoffel S, Baio G, McGregor L, von Wagner C. Uptake of the English bowel (colorectal) Cancer Screening Programme: an update 5 years after the full roll-out. Eur J Cancer. 2018;103:267–73.

    Article  PubMed  PubMed Central  Google Scholar 

  37. De Cuevas RMA, Saini P, Roberts D, Beaver K, Chandrashekar M, Jain A, et al. A systematic review of barriers and enablers to south asian women’s attendance for asymptomatic screening of breast and cervical cancers in emigrant countries. BMJ Open. 2018;8(7):e020892.

    Article  Google Scholar 

  38. Crawford J, Ahmad F, Beaton D, Bierman AS. Cancer screening behaviours among south asian immigrants in the UK, US and Canada: a scoping study. Health Soc Care Community. 2016;24(2):123–53.

    Article  PubMed  Google Scholar 

  39. Moondance Cancer Initiative. Improving uptake of bowel screening. 2021. Available from: Accessed 1 Mar 2022.

  40. Moss S, Mathews C, Day TJ, Smith S, Seaman HE, Snowball J, et al. Increased uptake and improved outcomes of bowel cancer screening with a faecal immunochemical test: results from a pilot study within the national screening programme in England. Gut. 2017;66(9):1631–44.

    Article  CAS  PubMed  Google Scholar 

  41. Campbell C, Douglas A, Williams L, Cezard G, Brewster DH, Buchanan D, et al. Are there ethnic and religious variations in uptake of bowel cancer screening? A retrospective cohort study among 1.7 million people in Scotland. BMJ Open. 2020;10(10):e037011.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Welsh Government. Ethnicity by area and ethnic group. 2021. Available from: Accessed 16 Jan 2022.

  43. Fazil Q. Cancer and black and minority ethnic communities briefing paper. A Race and Equality Foundation Briefing Paper. Available from: Accessed 18 Jan 2022.

  44. Grath-Lone LM, Libuy N, Etoori D, Blackburn R, Gilbert R, Harron K. Ethnic bias in data linkage. Lancet Digit Heal. 2021;3(6):e339.

    Article  CAS  Google Scholar 

  45. Hamilton AC, Donnelly DW, Loughrey MB, Turkington RC, Fox C, Fitzpatrick D, O’Neill CE, Gavin AT, Coleman HG. Inequalities in the decline and recovery of pathological cancer diagnoses during the first six months of the COVID-19 pandemic: a population-based study. Br J Cancer. 2021;125(6):798–805.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references


The authors would like to thank Dr Bethan Bowden and Dr Sikha de Souza for their comments on a previous version of the manuscript, and Dr Laura Cowley and David Florentin for their support with data linkage. This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. This work uses data provided by patients and collected by the NHS as part of their care and support. We would also like to acknowledge all data providers who make anonymised data available for research. We wish to acknowledge the collaborative partnership that enabled acquisition and access to the de-identified data, which led to this output. The collaboration was led by the Swansea University Health Data Research UK team under the direction of the Welsh Government Technical Advisory Cell (TAC) and includes the following groups and organisations: the SAIL Databank, Administrative Data Research (ADR) Wales, Digital Health and Care Wales (DHCW), Public Health Wales, NHS Shared Services Partnership (NWSSP) and the Welsh Ambulance Service Trust (WAST).


This work was supported by the Con-COV team funded by the Medical Research Council (grant number: MR/V028367/1). This work was supported by Health Data Research UK, which receives its funding from HDR UK Ltd (HDR-9006) funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust. This work was supported by the ADR Wales programme of work. The ADR Wales programme of work is aligned to the priority themes as identified in the Welsh Government’s national strategy: Prosperity for All. ADR Wales brings together data science experts at Swansea University Medical School, staff from the Wales Institute of Social and Economic Research, Data and Methods (WISERD) at Cardiff University and specialist teams within the Welsh Government to develop new evidence which supports Prosperity for All by using the SAIL Databank at Swansea University, to link and analyse anonymised data. ADR Wales is part of the Economic and Social Research Council (part of UK Research and Innovation) funded ADR UK (grant ES/S007393/1). This work was supported by the Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales.

Author information

Authors and Affiliations



DB was the main researcher and contributed to the design of the study, analysed the data and drafted the manuscript. AA completed the linked data method to create the ethnic groups. RG prepared or linked data sources to create the sample. SH, JS, DH, GG, AD and AG contributed to the design of this study and the revision of the manuscript. JS and KH contributed to the analysis plan, interpretation of the data, and manuscript revision. All authors read and approved the manuscript.

Corresponding author

Correspondence to Diana Bright.

Ethics declarations

Ethics approval and consent to participate

All methods were carried out in accordance with relevant guidelines and regulations. Approval for the use of anonymised data in this study, provisioned within the Secure Anonymised Information Linkage (SAIL) Databank was granted by an independent Information Governance Review Panel (IGRP) under project 0911. The IGRP has a membership comprised of senior representatives from the British Medical Association (BMA), the National Research Ethics Service (NRES), Public Health Wales and Digital Health and Care Wales (DHCW). Our study involved retrospectively linking and analysing already collected and centrally held routine administrative data comprising anonymised electronic records therefore, we were exempt from National Research Ethics Committee (NREC) and obtaining informed consent from participants did not apply to our study. This was also confirmed by the SAIL Databank IGRP.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material (Tables 1S-3S)

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bright, D., Hillier, S., Song, J. et al. Inequalities in colorectal cancer screening uptake in Wales: an examination of the impact of the temporary suspension of the screening programme during the COVID-19 pandemic. BMC Public Health 23, 546 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: