Literature DB >> 33742300

Decline and Rebound in Routine Cancer Screening Rates During the COVID-19 Pandemic.

Ryan K McBain1, Jonathan H Cantor2, Anupam B Jena3,4, Megan F Pera5, Dena M Bravata5, Christopher M Whaley2.   

Abstract

Entities:  

Year:  2021        PMID: 33742300      PMCID: PMC7978463          DOI: 10.1007/s11606-021-06660-5

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


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BACKGROUND

Breast and colorectal cancer are two of the most commonly diagnosed cancers in the USA, generating 400,000 new cases and 90,000 attributable deaths in 2019 alone. Early detection through routine screenings is essential for improving cancer-related morbidity and mortality rates.[1] The COVID-19 pandemic has created the potential for a backslide in cancer screening rates, particularly forms of screening like mammography and colonoscopy that rely on office-based medical technologies.[2] Yet, whether cancer screening rates have declined, and how reductions vary across patient populations, remains largely unknown.

OBJECTIVE

To examine mammography and colonoscopy rates among commercially insured American adults before and after March 13, 2020—the date on which COVID-19 was declared a national emergency—as well as US county-level characteristics predictive of screening rates.

METHODS

We quantified weekly medical claims from commercially insured US adults between January 15, 2020, and July 31, 2020. Medical claims data were provided by Castlight Health, a health benefits manager for employer-sponsored health insurance plans across all 50 states, which included 6.8 million individuals.[3] We limited the study sample to those ages 46 to 64, target populations for cancer screening procedures prior to Medicare eligibility. For screening mammography, we limited our sample to women. Procedures were identified using IBM Watson Health procedure categories.[4] We calculated weekly number of individuals, per 10,000 eligible beneficiaries, who received cancer screenings. We also included patient age category (ages 46–59, 60–64) and sex, and linked claims to county-level demographic characteristics: percent non-Hispanic black and percent Hispanic, and median household income, according to the U.S. Census Bureau; and weekly prevalence of SARS-CoV-2 cases per 10,000 population, according to USAFacts. Longitudinal multivariable fixed-effects regression analyses estimated change in screening rates following March 13, 2020, relative to prior weeks. Fixed effects were included for calendar year, calendar week, and US state. Standard errors were clustered at the state level. Additional models interacted the dichotomous time variable with demographic characteristics. For each model, marginal means were generated to estimate adjusted, weekly screening rates through July 2020. This study was approved by the RAND IRB.

RESULTS

Prior to the national emergency declaration on March 13, 2020, median weekly rate of screening mammography was 87.8 women per 10,000 beneficiaries, which declined to 6.9 in April—a 96% decline (Table 1). By the end of July, this figure had rebounded to 88.2 screenings per 10,000 beneficiaries. Over the same period, colonoscopy screenings declined from 15.1 per 10,000 beneficiaries to 0.9, a 95% difference, and rebounded to 12.6 per 10,000 beneficiaries by the end of July. Adjusted estimates from multivariable regression analyses confirmed a significant decline (mammography: − 84.7 screenings per 10,000 beneficiaries, 95%CI − 96.8, − 72.3; colonoscopy: − 11.6, 95%CI − 14.8, − 8.4), with marginal adjusted means comparable to pre-COVID levels by the end of July (mammography: 0.2, 95%CI − 14.5, 14.9; colonoscopy: 1.6, 95%CI − 1.3, 4.5) (Fig. 1). For colonoscopy screenings, we observed a sharper decline in highest-income quartile counties compared to lowest-income quartile counties (3.0 fewer screenings; 95% CI 0.3, 5.8). We did not find any significant demographic differences when inspecting screening mammography rates.
Table 1

Screening Mammography and Colonoscopy Rates

Demographic characteristicMammographyColonoscopy
Rate, pre-COVID (SD)Rate, low pointa (SD)Rate, end of July (SD)Rate, pre-COVID (SD)Rate, low pointa (SD)Rate, end of July (SD)
All87.8 (367.3)6.9 (67.1)88.2 (386.1)15.1 (144.1)0.88 (16.3)12.6 (132.1)
Age group
  46–5987.3 (331.4)7.0 (58.6)88.0 (375.0)14.5 (133.7)1.1 (18.9)11.6 (143.1)
  60+88.3 (402.4)6.7 (75.0)88.5 (397.6)15.7 (154.4)0.6 (12.8)13.7 (119.2)
Income
  1st quartile (lowest)86.9 (406.3)6.6 (85.9)78.7 (408.6)14.4 (163.9)0.9 (16.6)12.6 (138.7)
  2nd quartile92.7 (405.0)7.7 (68.4)85.6 (288.8)15.0 (167.9)1.0 (20.4)15.0 (199.8)
  3rd quartile83.5 (357.6)8.5 (74.6)111.3 (566.4)14.7 (139.7)0.7 (9.0)10.8 (86.5)
  4th quartile (highest)88.0 (292.9)4.9 (25.7)76.9 (171.9)16.2 (95.2)0.9 (16.9)12.1 (58.1)
Rurality
  Metropolitan88.1 (117.8)8.1 (44.5)85.3 (115.0)16.1 (51.4)0.9 (13.5)13.8 (41.3)
  Non-metropolitan87.7 (430.9)6.4 (74.5)89.5 (454.1)14.7 (168.2)0.9 (17.3)12.1 (155.0)
% African American
  1st quartile (lowest)87.2 (509.2)7.8 (103.0)88.1 (594.6)15.2 (202.8)0.5 (12.2)11.6 (219.0)
  2nd quartile85.5 (361.5)5.3 (57.5)97.2 (434.6)15.5 (154.6)1.1 (19.6)11.5 (78.1)
  3rd quartile87.7 (312.3)5.7 (50.9)81.4 (230.5)14.2 (102.1)0.9 (18.5)13.9 (116.0)
  4th quartile (highest)90.3 (278.8)8.7 (51.2)87.5 (226.0)15.5 (109.8)0.9 (13.5)13.1 (83.3)
% Hispanic
  1st quartile (lowest)88.6 (385.8)8.6 (101.5)76.8 (276.6)14.9 (166.6)0.8 (20.9)16.1 (217.2)
  2nd quartile89.0 (352.7)6.1 (48.0)95.1 (439.1)16.3 (161.6)1.1 (16.5)12.8 (89.4)
  3rd quartile85.2 (331.7)5.2 (33.3)97.7 (404.5)14.8 (95.8)0.8 (11.6)10.4 (49.0)
  4th quartile (highest)88.6 (400.3)7.9 (66.9)82.3 (403.9)14.3 (142.2)0.8 (14.7)11.1 (111.3)
Prevalence of SARS-CoV-2
  1st quartile (lowest)91.0 (460.5)4.7 (77.9)74.7 (403.2)14.3 (195.8)1.0 (19.4)15.5 (241.3)
  2nd quartile82.6 (360.8)8.9 (81.5)95.3 (481.5)14.3 (125.5)0.7 (17.8)11.7 (82.2)
  3rd quartile89.6 (329.1)6.8 (54.1)81.3 (248.6)14.6 (92.3)1.0 (13.8)11.1 (65.8)
  4th quartile (highest)88.3 (320.1)6.9 (52.2)99.3 (380.6)16.9 (151.4)0.8 (14.0)12.5 (81.5)

Mean and standard deviation reflect the number of patients per 10,000 beneficiaries by patient gender, age category and county

aLow point represents the lowest weekly number of screenings per 10,000 beneficiaries—in mid-April

Figure 1

Cancer screening rates during 2020.

Screening Mammography and Colonoscopy Rates Mean and standard deviation reflect the number of patients per 10,000 beneficiaries by patient gender, age category and county aLow point represents the lowest weekly number of screenings per 10,000 beneficiaries—in mid-April Cancer screening rates during 2020.

DISCUSSION

While the COVID-19 pandemic has catalyzed a shift from office-based medical visits to telemedicine, routine cancer screenings typically require office-based care. We found that, following the COVID-19 national emergency declaration, mammography and colonoscopy rates declined by over 90% in a large cross-section of commercially insured adults throughout the country. Furthermore, despite an even larger spike in COVID case rates during summer months, cancer screening rates continued to rebound to pre-COVID levels—suggesting that health systems were able to recalibrate resources and protocols in a relatively short interval. Early in the pandemic, experts expressed concerns about the potential for a large drop-off in cancer screenings,[5] confirmed by these findings. However, health systems also rapidly responded with protocols and strategies to reopen in an appropriate manner,[6] and this study is the first to document the success of this effort. We note three study limitations. First, the data derive from a subset of individuals with private insurance and does not include publicly insured or uninsured patients. Second, our colonoscopy results do not include alternative forms of colorectal cancer screening, such as FOBT. Finally, our results are limited to the first 7 months of 2020.
  14 in total

1.  Patient Preferences for Preventive Healthcare During the COVID-19 Pandemic in a Large Integrated Health System.

Authors:  Cheryl D Stults; Xiaowei Yan; Sien Deng; Ellis C Dillon; Su-Ying Liang; J B Jones; Minal Bhanushali; Dominick L Frosch
Journal:  J Patient Exp       Date:  2022-07-15

Review 2.  Impact of the COVID-19 Pandemic on Colorectal Cancer Screening: a Systematic Review.

Authors:  Afrooz Mazidimoradi; Azita Tiznobaik; Hamid Salehiniya
Journal:  J Gastrointest Cancer       Date:  2021-08-18

3.  Changes in Cancer Screening in the US During the COVID-19 Pandemic.

Authors:  Stacey A Fedewa; Jessica Star; Priti Bandi; Adair Minihan; Xuesong Han; K Robin Yabroff; Ahmedin Jemal
Journal:  JAMA Netw Open       Date:  2022-06-01

4.  Out-of-Pocket Costs for Colonoscopy After Noninvasive Colorectal Cancer Screening Among US Adults With Commercial and Medicare Insurance.

Authors:  A Mark Fendrick; Nicole Princic; Lesley-Ann Miller-Wilson; Kathleen Wilson; Paul Limburg
Journal:  JAMA Netw Open       Date:  2021-12-01

5.  Breast Biopsy Recommendations and Breast Cancers Diagnosed during the COVID-19 Pandemic.

Authors:  Kathryn P Lowry; Michael C S Bissell; Diana L Miglioretti; Karla Kerlikowske; Nila Alsheik; Tere Macarol; Erin J A Bowles; Diana S M Buist; Anna N A Tosteson; Louise Henderson; Sally D Herschorn; Karen J Wernli; Donald L Weaver; Natasha K Stout; Brian L Sprague
Journal:  Radiology       Date:  2021-10-19       Impact factor: 29.146

6.  Online public interest in common malignancies and cancer screening during the COVID-19 pandemic in the United States.

Authors:  Samuel A Cohen; Shayan Ebrahimian; Landon E Cohen; Jonathan D Tijerina
Journal:  J Clin Transl Res       Date:  2021-11-06

7.  The Impact of COVID-19-Related Delays on Surgical Management of Peritoneal Surface Malignancies.

Authors:  Divya Sood; Ankit Dhiman; Cecilia T Ong; Andrea Y Liu; Jennifer Belanski; Kiran K Turaga; Oliver S Eng
Journal:  Ann Surg Oncol       Date:  2022-05-03       Impact factor: 4.339

Review 8.  Reduced Cancer Screening Due to Lockdowns of the COVID-19 Pandemic: Reviewing Impacts and Ways to Counteract the Impacts.

Authors:  Tuan Luu
Journal:  Front Oncol       Date:  2022-07-29       Impact factor: 5.738

9.  One-year COVID-19 outcomes on the oncology care patient pathway: Results of a French descriptive, cross-sectional comprehensive study (ONCOCARE-COV).

Authors:  Léonard Laurent; Mathias Brugel; Claire Carlier; Florentin Clere; Aurélie Bertrand; Damien Botsen; Camille Boulagnon-Rombi; Véronique Dalstein; Adeline Debreuve-Theresette; Sophie Deguelte; Christian Garbar; Rachid Mahmoudi; Antonin Marechal; David Morland; Jean-Baptiste Rey; Claire Schvartz; Catherine Vallet; Yacine Merrouche; Florian Slimano; Olivier Bouché
Journal:  Cancer Med       Date:  2022-05-20       Impact factor: 4.711

10.  Monitoring the impact of COVID-19 in France on cancer care: a differentiated impact.

Authors:  Christine Le Bihan Benjamin; Julien-Aymeric Simonnet; Mathieu Rocchi; Inès Khati; Estelle Ménard; Emilie Houas-Bernat; Jean-Baptiste Méric; Philippe-Jean Bousquet
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.379

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