Abstract
Introduction
We examined national estimates of breast, cervical, and colorectal cancer (CRC) screening test use and compared them with Healthy People 2030 national targets. Test use in 2021 was compared with prepandemic estimates.
Methods
In 2022, we used 2021 National Health Interview Survey (NHIS) data to estimate proportions of adults up to date with US Preventive Services Task Force recommendations for breast (women aged 50–74 y), cervical (women aged 21–65 y), and CRC screening (adults aged 50–75 y) across sociodemographic and health care access variables. We compared age-standardized estimates from the 2021 and 2019 NHIS.
Results
Percentages of adults up to date in 2021 were 75.7% (95% CI, 74.4%–76.9%), 75.2% (95% CI, 73.9%–76.4%), and 72.2% (95% CI, 71.2%–73.2%) for breast, cervical, and CRC screening, respectively. Estimates were below 50% among those without a wellness check in 3 years (all screening types), among those without a usual source of care or insurance (aged <65 y) (breast and CRC screening), and among those residing in the US for less than 10 years (CRC screening). Percentages of adults who were up to date with breast and cervical cancer screening and colonoscopy were similar in 2019 and 2021. Fecal occult blood/fecal immunochemical test (FOBT/FIT) use was modestly higher in 2021 (P < .001).
Conclusions
In 2021, approximately 1 in 4 adults of screening age were not up to date with breast, cervical, and CRC screening recommendations, and Healthy People 2030 national targets were not met. Disparities existed across several characteristics, particularly those related to health care access. Breast, cervical, and colonoscopy test use within recommended screening intervals approximated prepandemic levels. FOBT/FIT estimates were modestly higher in 2021.
Summary.
What is already known on this topic?
Breast, cervical, and colorectal cancer screening has been below the national 2020 Healthy People targets.
What is added by this report?
We used 2021 National Health Interview Survey data to examine the most recent national estimates of screening test use, disparities, and comparisons with 2030 Healthy People targets. Estimates were compared with 2019 estimates to examine differences during the COVID-19 pandemic.
What are the implications for public health practice?
Approximately 1 in 4 adults of screening age were not up to date with breast, cervical, and colorectal cancer screening in 2021. Estimates were below current national targets and disparities existed. Test use within recommended intervals may approximate prepandemic levels; fecal occult blood test and fecal immunochemical test use may have increased modestly.
Introduction
The US Preventive Services Task Force (USPSTF) recommends breast, cervical, and colorectal cancer (CRC) screening to reduce cancer mortality rates (1). Use of these services did not reach national targets for 2020 (2,3). We used 2021 National Health Interview Survey (NHIS) data to examine the most recent national estimates of screening test use, disparities, and comparisons to national targets set by Healthy People (HP) 2030 (4). We compared estimates from 2021 with 2019 estimates to examine differences before and during the COVID-19 pandemic.
Methods
We used data from the 2021 and 2019 NHIS, an in-person survey of nationally representative samples of the civilian, noninstitutionalized US population (5). One sample adult was randomly selected from each household to self-report information about health and health services use (final sample adult response rates were 50.9% for 2021 and 59.1% for 2019) (5). Because of the COVID-19 pandemic, telephone interviews were attempted first in early 2021. In May 2021, in-person interviews resumed as local conditions allowed (5). Interviews conducted at least partially by telephone were higher in 2021 than in 2019 (62.8% vs 34.3%), and survey weighting methods were modified between these years (5).
We included women aged 50 to 74 years (n = 6,851), women aged 21 to 65 years (n = 10,909), and adults aged 50 to 75 years (n = 12,938) in breast, cervical, and CRC screening analyses, respectively. Exclusions (in order) included prior or unknown hysterectomy (cervical only, n = 1,591), personal or unknown history of the cancer screened for (breast, n = 394; cervical, n = 71; CRC, n = 138), and insufficient information to determine screening status (breast, n = 130; cervical, n = 531; CRC, n = 280). USPSTF updated CRC screening recommendations to include adults aged 45 to 49 years (B recommendation) in May 2021 (6). Because this occurred mid-2021, CRC screening analyses include adults aged 50 to 75 years.
We defined being up to date with screening as reporting having received a USPSTF-recommended test for any reason within recommended screening intervals (Table 1) (1). Each year since the survey redesign in 2019 (www.cdc.gov/nchs/nhis/2019_quest_redesign.htm), NHIS has included a set of cancer control questions sponsored by the Centers for Disease Control and Prevention and the National Cancer Institute. The content of these questions varies from year to year on a rotating basis. In 2019 and 2021, this content included additional questions about breast, cervical, and CRC screening tests to complement rotating core questions in those years about whether respondents ever received these tests and the time since the most recent test. These screening tests included mammography (breast cancer); Papanicolaou (Pap) and human papillomavirus (HPV) tests (cervical cancer); and colonoscopy, sigmoidoscopy, computed tomography (CT) colonography, home fecal occult blood test (FOBT) or fecal immunochemical (FIT) test, and FIT-DNA test (CRC). For blood stool tests, separate questions were not asked about FIT and guaiac tests. Rather, they were asked about in combination (“The following questions are about the blood stool or fecal occult blood test, fecal immunochemical or FIT test. These are tests to determine whether you have blood in your stool or bowel movement and can be done at home using a kit. You use a stick or brush to obtain a small amount of stool at home and send it back to the doctor or lab. Have you ever had a blood stool or FIT test, using a HOME test kit? When was your most recent blood stool or FIT test, using a home test kit?”). In 2019, questions about nonendoscopic CRC screening tests were asked of respondents who answered yes when asked if they had received a CRC test other than colonoscopy or sigmoidoscopy. In 2021, questions about nonendoscopic tests were asked of all respondents aged 40 years or older. NHIS responses regarding time since FIT-DNA test were not released in 2019 but were available for 2021. Because of this, CRC screening comparisons between years do not examine FIT-DNA use or overall CRC estimates (which include FIT-DNA).
Table 1. Definitions of Being Up to Date With Breast, Cervical, and Colorectal Cancer Screening.
Screening type | Definition of up to date |
---|---|
Breast cancer | Mammogram within prior 2 years |
Cervical cancer | Pap within prior 3 years (aged 21–65 y), or HPV test alone in prior 5 years (aged 30–65 y), or Pap + HPV co-test in prior 5 years (aged 30–65 y) |
Colorectal cancer | Colonoscopy within 10 years, or flexible sigmoidoscopy within 5 years, or FOBT/FIT within 1 year, or CT colonography within 5 years, or FIT-DNA within 3 years |
Abbreviations: CT, computed tomography; FIT-DNA, fecal immunochemical DNA test; FOBT, fecal occult blood test; HPV, human papillomavirus; Pap, Papanicolaou test.
Findings are national estimates of screening test use, reported as weighted percentages with 95% CIs. Survey design variables and survey weights were used in all analyses to account for the complex sample design and produce national estimates. We examined the percentage of US adults of screening age who were up to date with screenings for 2021 overall, and by sociodemographic and health care access characteristics, using Wald F-tests (significance set at P < .05). Overall estimates were also age-standardized to the projected 2000 US standard population (7). We compared age-standardized estimates of being up to date for 2021 and 2019. Estimates not meeting NCHS reliability standards were suppressed (8). We conducted analyses by using SAS version 9.4 (SAS Institute, Inc) and SUDAAN version 11.0.1 (RTI International).
Results
In 2021, an estimated 75.7% (95% CI, 74.4%–76.9%) of US women were up to date with breast cancer screening, 75.2% (95% CI, 73.9%–76.4%) were up to date with cervical cancer screening, and 72.2% (95% CI, 71.2%–73.2%) of US adults were up to date with CRC screening (Tables 2 and 3). Colonoscopy was the most commonly used CRC screening test, with an estimated 63.1% (95% CI, 62.1%–64.2%) up to date, compared with 10.1% (95% CI, 9.4%–10.8%) for FOBT/FIT and 8.3% (95% CI, 7.7%–8.9%) for FIT-DNA (age-standardized, not mutually exclusive, not shown in tables). An estimated 15.5% (95% CI, 14.7%–16.3%) were up to date with any blood stool test (FOBT/FIT or FIT-DNA). Age-standardized breast and cervical screening estimates (Table 2) were below HP 2030 targets (80.5% and 84.3%, respectively) and below HP 2020 targets (81.1% and 93.0%, respectively). Assuming that all women aged 30 to 65 years with unknown HPV test use did or did not have an HPV test did not yield large differences in cervical cancer screening estimates (75.7% [95% CI, 74.4%–76.9%] vs 74.1% [95% CI, 72.8%–75.4%], data not shown). Age-standardized estimates of CRC screening test use (Table 3) exceeded the HP 2020 target (70.5%) and approached the HP 2030 target (74.4%).
Table 2. Percentage of Women Up to Date With Breast and Cervical Cancer Screening, United States, 2021.
Characteristic | Breast cancer screening |
Cervical cancer screening |
||||
---|---|---|---|---|---|---|
No. | Weighted % (95% CI) | P valuea | No. | Weighted % (95% CI) | P valuea | |
Overall, unadjusted | 6,327 | 75.7 (74.4–76.9) | NA | 8,716 | 75.2 (73.9–76.4) | NA |
Overall, age-standardizedb | 6,327 | 75.6 (74.4–76.8) | NA | 8,716 | 75.5 (74.2–76.7) | NA |
Age, y | ||||||
21–30 | NA | NA | NA | 1,759 | 67.8 (64.8–70.7) | <.001 |
31–40 | NA | NA | 2,308 | 82.3 (80.3–84.1) | ||
41–50 | NA | NA | 1,848 | 78.0 (75.5–80.3) | ||
51–65 | NA | NA | 2,801 | 73.5 (71.3–75.5) | ||
50–64 | 3,850 | 75.3 (73.8–76.8) | .44 | NA | NA | NA |
65–74 | 2,477 | 76.3 (74.3–78.2) | NA | NA | ||
Race | ||||||
AIAN | 104 | 52.8 (42.5–63.0) | <.001 | 172 | 64.0 (51.3–75.4) | <.001 |
Asian | 326 | 66.6 (60.2–72.5) | 705 | 63.6 (59.1–68.0) | ||
Black/African American | 766 | 81.6 (78.0–84.8) | 1,106 | 73.3 (69.4–77.0) | ||
White | 4,861 | 75.7 (74.3–77.1) | 6,026 | 78.1 (76.6–79.6) | ||
Other, single and multiple race | 55 | 73.4 (57.7–85.7) | 166 | 72.5 (62.3–81.2) | ||
Missing/unknown | 215 | 79.4 (72.7–85.1) | 541 | 65.4 (60.4–70.1) | ||
Ethnicityc | ||||||
Non-Hispanic | 5,694 | 75.9 (74.7–77.2) | .29 | 7,203 | 76.7 (75.3–78.1) | <.001 |
Hispanic | 633 | 73.8 (69.8–77.5) | 1,513 | 68.7 (65.6–71.6) | ||
Mexican/Mexican American | 341 | 72.9 (67.3–78.1) | 823 | 68.0 (64.4–71.4) | ||
Other Hispanic groupd | 282 | 74.3 (68.0–79.9) | 673 | 69.7 (64.8–74.3) | ||
Education | ||||||
Less than high school | 532 | 63.6 (58.3–68.7) | <.001 | 592 | 57.7 (52.6–62.8) | <.001 |
High school/GED | 1,517 | 72.6 (70.0–75.1) | 1,736 | 66.4 (63.4–69.3) | ||
Some college | 1,916 | 76.5 (74.2–78.7) | 2,356 | 74.2 (72.1–76.3) | ||
College degree | 2,335 | 80.7 (78.8–82.4) | 3,999 | 83.8 (82.4–85.1) | ||
Missing/unknown | 27 | —e | 33 | —e | ||
Income, %f | ||||||
≤138 | 1,060 | 64.8 (61.0–68.5) | <.001 | 1,558 | 67.4 (64.4–70.4) | <.001 |
>138–250 | 1,154 | 69.5 (65.9–72.9) | 1,639 | 66.1 (63.1–69.0) | ||
>250–400 | 1,217 | 76.4 (73.4–79.3) | 1,720 | 73.8 (70.9–76.6) | ||
>400 | 2,896 | 81.4 (79.7–83.0) | 3,799 | 83.4 (81.8–84.9) | ||
Duration of US residence, y | ||||||
<10 | 53 | 61.3 (45.7–75.5) | .09 | 358 | 55.9 (49.3–62.3) | <.001 |
≥10 | 897 | 73.9 (70.4–77.2) | 1,349 | 69.6 (66.7–72.4) | ||
Born in the US | 5,260 | 76.5 (75.1–77.8) | 6,797 | 77.7 (76.3–79.0) | ||
Missing/unknown | 117 | 67.0 (55.2–77.4) | 212 | 68.6 (60.3–76.1) | ||
County urbanization levelg | ||||||
Large central metro | 1,678 | 75.5 (72.9–77.9) | .02 | 2,903 | 73.1 (71.0–75.2) | .002 |
Large fringe metro | 1,544 | 77.2 (74.7–79.6) | 2,130 | 78.5 (76.0–80.7) | ||
Medium/small metro | 2,097 | 76.3 (74.0–78.5) | 2,568 | 76.1 (73.6–78.5) | ||
Nonmetropolitan | 1,008 | 72.2 (69.3–74.9) | 1,115 | 72.0 (68.2–75.6) | ||
Sexual orientation | ||||||
Lesbian or gay | 97 | 78.8 (68.7–86.8) | .19 | 163 | 71.4 (62.8–78.9) | .03 |
Straight | 5,976 | 76.0 (74.7–77.2) | 7,867 | 76.0 (74.7–77.3) | ||
Bisexual | 46 | 60.6 (45.1–74.6) | 328 | 69.4 (62.4–75.9) | ||
Other | 23 | —e | 73 | 59.6 (44.2–73.7) | ||
Missing/unknown | 185 | 66.7 (57.3–75.2) | 285 | 65.7 (58.7–72.3) | ||
Usual source of care | ||||||
Yes | 5,774 | 78.6 (77.3–79.9) | <.001 | 7,222 | 78.3 (77.0–79.6) | <.001 |
No | 547 | 44.1 (39.2–49.0) | 1,490 | 61.1 (58.0–64.2) | ||
Missing/unknown | 6 | —e | 4 | —e | ||
Insurance | ||||||
Aged <65 y | ||||||
Private | 2,807 | 80.1 (78.4–81.7) | <.001 | 5,999 | 79.8 (78.4–81.2) | <.001 |
Medicaid/other public | 519 | 68.4 (63.4–73.1) | 1,361 | 70.6 (67.3–73.8) | ||
Other coverage | 233 | 76.8 (69.7–82.9) | 341 | 70.1 (62.9–76.5) | ||
Uninsured | 283 | 42.3 (35.3–49.6) | 828 | 56.6 (52.4–60.8) | ||
Missing/unknown | 8 | —e | 15 | —e | ||
Aged ≥65 yh | ||||||
Private | 968 | 78.9 (75.9–81.7) | <.001 | 85 | 70.1 (57.9–80.5) | .21 |
Medicare + Medicaid | 191 | 74.7 (67.0–81.4) | 10 | —e | ||
Medicare Advantage | 887 | 80.2 (76.9–83.2) | 45 | —e | ||
Medicare only | 300 | 58.8 (51.6–65.7) | 21 | —e | ||
Other coverage | 113 | 79.7 (70.4–87.2) | 7 | —e | ||
Uninsured | 14 | —e | 4 | —e | ||
Missing/unknown | 4 | —e | 0 | NA | ||
Disability | ||||||
Yes | 782 | 65.8 (61.8–69.7) | <.001 | 513 | 64.0 (58.6–69.1) | <.001 |
No | 5,545 | 77.0 (75.7–78.3) | 8,203 | 75.8 (74.5–77.1) | ||
Doing errands alone | ||||||
At least some difficulty | 591 | 65.0 (60.2–69.6) | <.001 | 492 | 60.5 (54.3–66.4) | <.001 |
No difficulty | 5,735 | 76.8 (75.5–78.0) | 8,224 | 76.1 (74.8–77.4) | ||
Missing/unknown | 1 | —e | 0 | NA | ||
Wellness check within 3 years | ||||||
Yes | 6,066 | 78.1 (76.9–79.3) | <.001 | 8,180 | 77.8 (76.5–79.0) | <.001 |
No | 249 | 13.8 (9.6–19.0) | 511 | 36.5 (31.6–41.5) | ||
Missing/unknown | 12 | —e | 25 | —e |
Abbreviations: AIAN, American Indian or Alaska Native and includes AIAN only or in combination with another race; GED, general educational development; NA, not applicable; NCHS, National Center for Health Statistics; NHIS, National Health Interview Survey; USPSTF, US Preventive Services Task Force.
P value from Wald F tests, testing for any differences across groups excluding missing or unknown.
Overall percentages are presented unadjusted and age-standardized to the 2000 US standard population. Percentages were age-standardized using the following age groups: 50–64, 65–74 (breast); and 21–34, 35–44, 45–65 (cervical). Percentages by sociodemographic and other variables are unadjusted.
P value reflects differences between Hispanic and non-Hispanic groups.
Information about adults from other Hispanic origin or ethnicity groups is not available in the NHIS public-use file.
Estimates suppressed because they did not meet NCHS reliability standards (8).
Family income as a percentage of the federal poverty threshold, and multiply imputed by NCHS when missing (5,9).
For cervical screening, includes only age 65 years because USPSTF does not recommend routine screening beyond this age.
Table 3. Percentage of Adults Up to Date With Colorectal Cancer Screening, United States, 2021.
Characteristic | Colorectal cancer screening |
||
---|---|---|---|
No. | Weighted % (95% CI) | P valuea | |
Overall (unadjusted) | 12,520 | 72.2 (71.2–73.2) | NA |
Overall (age-standardized)b | 12,520 | 71.6 (70.6–72.6) | NA |
Age, y | |||
50–64 | 7,338 | 66.1 (64.8–67.4) | <.001 |
65–75 | 5,182 | 83.0 (81.7–84.3) | |
Sex | |||
Male | 5,689 | 71.1 (69.6–72.5) | .03 |
Female | 6,830 | 73.3 (72.0–74.6) | |
Unknown | 1 | —c | |
Race | |||
AIAN | 208 | 62.6 (55.0–69.8) | <.001 |
Asian | 611 | 60.9 (55.7–65.8) | |
Black/African American | 1,399 | 71.3 (68.2–74.2) | |
White | 9,776 | 74.0 (72.9–75.1) | |
Other single and multiple race | 109 | 64.2 (52.9–74.5) | |
Missing/unknown | 417 | 63.0 (57.0–68.6) | |
Ethnicityd | |||
Non-Hispanic | 11,304 | 73.6 (72.6–74.6) | <.001 |
Hispanic | 1,216 | 62.1 (58.7–65.4) | |
Mexican/Mexican American | 662 | 58.8 (54.2–63.3) | |
Other Hispanic groupe | 536 | 66.0 (61.1–70.6) | |
Education | |||
Less than high school | 1,071 | 59.2 (55.7–62.7) | <.001 |
High school/GED | 3,120 | 67.5 (65.6–69.5) | |
Some college | 3,611 | 73.5 (71.7–75.3) | |
College degree | 4,663 | 78.4 (77.0–79.8) | |
Missing/unknown | 55 | 76.2 (60.6–87.9) | |
Income, %f | |||
≤138 | 1,913 | 60.3 (57.5–63.1) | <.001 |
>138–250 | 2,176 | 65.2 (62.7–67.8) | |
>250–400 | 2,420 | 71.3 (68.9–73.5) | |
>400 | 6,012 | 78.6 (77.4–79.8) | |
Duration of US residence | |||
<10 y | 83 | 37.6 (26.2–50.1) | <.001 |
≥10 y | 1,705 | 64.9 (62.0–67.7) | |
Born in US | 10,467 | 74.5 (73.5–75.5) | |
Missing/unknown | 265 | 60.1 (52.2–67.7) | |
County urbanization levelg | |||
Large central metro | 3,355 | 71.7 (69.7–73.6) | .02 |
Large fringe metro | 3,027 | 74.2 (72.4–76.0) | |
Medium and small metro | 4,121 | 72.6 (70.6–74.5) | |
Nonmetropolitan | 2,017 | 69.3 (66.7–71.9) | |
Sexual orientation | |||
Lesbian or gay | 250 | 76.1 (69.1–82.3) | .65 |
Straight | 11,744 | 72.4 (71.4–73.5) | |
Bisexual | 90 | 70.0 (58.4–80.0) | |
Other | 41 | —c | |
Missing/unknown | 395 | 65.1 (58.7–71.1) | |
Usual source of care | |||
Yes | 11,240 | 75.5 (74.5–76.5) | <.001 |
No | 1,274 | 42.9 (39.7–46.1) | |
Missing/Unknown | 6 | —c | |
Insurance | |||
Age <65 y | |||
Private | 5,265 | 71.0 (69.5–72.4) | <.001 |
Medicaid/other public | 911 | 57.4 (53.8–61.0) | |
Other coverage | 535 | 75.2 (70.6–79.4) | |
Uninsured | 607 | 29.8 (25.3–34.6) | |
Missing/unknown | 20 | —c | |
Age ≥65 y | |||
Private | 2,067 | 86.3 (84.4–88.0) | <.001 |
Medicare + Medicaid | 337 | 71.1 (63.7–77.7) | |
Medicare Advantage | 1,720 | 85.4 (83.4–87.3) | |
Medicare only | 619 | 74.1 (69.8–78.0) | |
Other coverage | 399 | 84.8 (80.4–88.6) | |
Uninsured | 30 | —c | |
Missing/unknown | 10 | —c | |
Disability | |||
Yes | 1,452 | 71.6 (68.8–74.3) | .63 |
No | 11,068 | 72.3 (71.3–73.4) | |
Doing errands alone | |||
At least some difficulty | 1,015 | 68.5 (65.1–71.8) | .02 |
No difficulty | 11,502 | 72.6 (71.5–73.6) | |
Missing/unknown | 3 | —c | |
Wellness check within 3 years | |||
Yes | 11,884 | 75.1 (74.1–76.1) | <.001 |
No | 603 | 17.3 (14.0–20.9) | |
Missing/unknown | 33 | —c |
Abbreviations: AIAN, American Indian/Alaska Native and includes AIAN only or in combination; GED, general educational development; NA, not applicable; NCHS, National Center for Health Statistics; NHIS, National Health Interview Survey; USPSTF, US Preventive Services Task Force.
P value from Wald F tests testing for any differences across groups excluding missing/unknown.
Overall percentages are presented as unadjusted and age-standardized to the 2000 US standard population. Percentages were age-standardized using the following age groups: 50–64, 65–75. Percentages by sociodemographic and other variables are unadjusted.
Estimates suppressed because they did not meet NCHS standards for reliability (8).
P value reflects differences between Hispanic and non-Hispanic groups.
Information about adults from other Hispanic origin or ethnicity groups is not available in the NHIS public-use file.
Estimates were below 50% among those without a wellness check in 3 years across all screening types, among those without a usual source of care or insurance (aged <65 years) for breast and CRC screening, and among those residing in the US for less than 10 years for CRC screening. American Indian or Alaska Native (AIAN) and Asian adults tended to have lower estimates by race across screening types. Hispanic adults were less likely than non-Hispanic adults to be up to date with cervical and CRC screening. Significant differences existed across all screening types by urbanization level, education, and income (Tables 2 and 3).
Age-standardized estimates of being up to date with breast and cervical cancer screening were similar in 2021 and 2019 (75.6% [95% CI, 74.4%–76.8%] vs 76.2% [95% CI, 74.9%–77.5%], P = .51 for breast cancer screening and 75.5% [95% CI, 74.2%–76.7%] vs 76.8% [95% CI, 75.6%–77.9%], P = .09 for cervical cancer screening). Colonoscopy estimates were also similar (63.1% [95% CI, 62.1%–64.2%] in 2021 vs 62.4% [95% CI, 61.3%–63.4%] in 2019, P = .28). Estimated FOBT/FIT use was somewhat higher in 2021 (10.1% [95% CI, 9.4%–10.8%] in 2021 vs 6.6% [95% CI, 6.1%–7.1%] in 2019, P < .001).
Discussion
Estimates suggest that approximately one-quarter of US adults of screening age were not up to date with breast, cervical, and CRC screening in 2021, and screening test use was below HP 2030 targets (4); CRC test use neared the target and exceeded the HP 2020 target (11). Colonoscopy was the most common CRC test, although 15% of adults were estimated to have received a stool blood test. Adults who were uninsured, without a usual source of care, or with shorter residence in the US had low screening uptake, consistent with previous evidence (2,12,13). By race, estimates for Asian and AIAN adults tended to be lowest across screening types. Hispanic adults were less likely to be up to date than non-Hispanic adults for cervical and CRC screening. Differences were also observed by education, income, and urbanization level.
The similarity in most up to date test estimates for 2021 and 2019 could reflect recommended screening intervals longer than 1 year, as well as recovery from reported declines in screening use during the COVID-19 pandemic (14–19). Higher FOBT/FIT estimates for 2021 may suggest a shift toward increased home stool testing for CRC screening during the pandemic, consistent with other studies (20,21). Home-based testing has been identified as a screening facilitator during the pandemic (22). However, differences in survey methods and questions for nonendoscopic screening tests could have affected estimates.
Findings are subject to limitations. Data were self-reported, which could result in reporting bias (eg, recall bias). Limited evidence exists about self-reported HPV test accuracy (23,24). Assuming that all women aged 30 to 65 years with unknown HPV test use either did or did not have an HPV test did not yield large differences in cervical cancer screening estimates. Weights were adjusted for nonresponse, although nonresponse bias may be possible. Consistent with previous studies and HP targets (2–4,12,13,25), tests performed for any reason were included. Caution may be warranted in interpreting findings for small subgroups given missing information for some variables.
Approximately 1 in 4 adults of screening age were not up to date with breast, cervical, and CRC screening recommendations in 2021. Estimates were below current national targets and disparities persisted across sociodemographic and health care access groups, with particularly low use among those with less health care access. Use of these tests within recommended screening intervals may approximate prepandemic levels. FOBT/FIT use may have increased modestly. Survey changes could have affected estimates although findings are consistent with previous evidence (20,21).
Acknowledgments
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the National Cancer Institute. The NHIS was funded by the US government. All authors are federal government employees. No copyrighted materials or tools were used in this research.
Footnotes
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.
Suggested citation for this article: Sabatino SA, Thompson TD, White MC, Villarroel MA, Shapiro JA, Croswell JM, et al. Up-to-Date Breast, Cervical, and Colorectal Cancer Screening Test Use in the United States, 2021. Prev Chronic Dis 2023;20:230071. DOI: https://doi.org/10.5888/pcd20.230071.
References
- 1. US Preventive Services Task Force. Recommendation topics. Accessed July 17, 2023. https://www.uspreventiveservicestaskforce.org/uspstf/recommendation-topics
- 2. Sabatino SA, Thompson TD, White MC, Shapiro JA, Clarke TC, Croswell JM, et al. Cancer screening test use — US, 2019. Am J Prev Med. 2022;63(3):431–439. 10.1016/j.amepre.2022.02.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Sabatino SA, Thompson TD, White MC, Shapiro JA, de Moor J, Doria-Rose VP, et al. Cancer screening test receipt — United States, 2018. MMWR Morb Mortal Wkly Rep. 2021;70(2):29–35. 10.15585/mmwr.mm7002a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. US Department of Health and Human Services. Healthy people 2030. Accessed July 17, 2023. https://health.gov/healthypeople [DOI] [PubMed]
- 5. National Center for Health Statistics. National Health Interview Survey, 2021. survey description. Accessed July 17, 2023. https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2021/srvydesc-508.pdf
- 6. Davidson KW, Barry MJ, Mangione CM, Cabana M, Caughey AB, Davis EM, et al. ; US Preventive Services Task Force. Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. JAMA. 2021;325(19):1965–1977. 10.1001/jama.2021.6238 [DOI] [PubMed] [Google Scholar]
- 7. National Cancer Institute. Surveillance, Epidemiology, and End Results program. Standard populations — single ages. Accessed July 17, 2023. https://seer.cancer.gov/stdpopulations/stdpop.singleages.html
- 8. Parker JD, Talih M, Malec DJ, et al. National Center for Health Statistics, data presentation standards for proportions. Vital Health Stat 2. 2017;(175):1-22. [PubMed] [Google Scholar]
- 9. National Center for Health Statistics. Multiple imputation of family income in 2021 National Health Interview Survey: methods. August 2022. Accessed July 17, 2023. https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2021/NHIS2021-imputation-techdoc-508.pdf
- 10. Ingram DD, Franco SJ; National Center for Health Statistics. 2013 NCHS urban–rural classification scheme for counties. Vital Health Stat. 2014;2(166). [PubMed] [Google Scholar]
- 11. US Department of Health and Human Services. Healthy people 2020. Accessed July 17, 2023. https://www.healthypeople.gov/2020 [DOI] [PubMed]
- 12. de Moor JS, Cohen RA, Shapiro JA, Nadel MR, Sabatino SA, Robin Yabroff K, et al. Colorectal cancer screening in the United States: trends from 2008 to 2015 and variation by health insurance coverage. Prev Med. 2018;112:199–206. 10.1016/j.ypmed.2018.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. White A, Thompson TD, White MC, Sabatino SA, de Moor J, Doria-Rose PV, et al. Cancer screening test use — United States, 2015. MMWR Morb Mortal Wkly Rep. 2017;66(8):201–206. 10.15585/mmwr.mm6608a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Miller MJ, Xu L, Qin J, Hahn EE, Ngo-Metzger Q, Mittman B, et al. Impact of COVID-19 on cervical cancer screening rates among women aged 21–65 years in a large integrated health care system — Southern California, January 1–September 30, 2019, and January 1–September 30, 2020. MMWR Morb Mortal Wkly Rep. 2021;70(4):109–113. 10.15585/mmwr.mm7004a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Patt D, Gordan L, Diaz M, Okon T, Grady L, Harmison M, et al. Impact of COVID-19 on cancer care: how the pandemic is delaying cancer diagnosis and treatment for American seniors. JCO Clin Cancer Inform. 2020;4(4):1059–1071. 10.1200/CCI.20.00134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Chen RC, Haynes K, Du S, Barron J, Katz AJ. Association of cancer screening deficit in the United States with the COVID-19 pandemic. JAMA Oncol. 2021;7(6):878–884. 10.1001/jamaoncol.2021.0884 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Sprague BL, Lowry KP, Miglioretti DL, Alsheik N, Bowles EJA, Tosteson ANA, et al. Changes in mammography utilization by women’s characteristics during the first 5 months of the COVID-19 pandemic. J Natl Cancer Inst. 2021;113(9):1161–1167. 10.1093/jnci/djab045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Grimm LJ, Lee C, Rosenberg RD, Burleson J, Simanowith M, Fruscello T Jr, et al. Impact of the COVID-19 pandemic on breast imaging: an analysis of the national mammography database. J Am Coll Radiol. 2022;19(8):919–934. 10.1016/j.jacr.2022.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Bakouny Z, Paciotti M, Schmidt AL, Lipsitz SR, Choueiri TK, Trinh QD. Cancer screening tests and cancer diagnoses during the COVID-19 pandemic. JAMA Oncol. 2021;7(3):458–460. 10.1001/jamaoncol.2020.7600 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Fedewa SA, Star J, Bandi P, Minihan A, Han X, Yabroff KR, et al. Changes in cancer screening in the US during the COVID-19 pandemic. JAMA Netw Open. 2022;5(6):e2215490. 10.1001/jamanetworkopen.2022.15490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Star J, Bandi P, Siegel RL, Han X, Minihan A, Smith RA, et al. Cancer screening in the United States during the second year of the COVID-19 pandemic. J Clin Oncol. 2023;JCO2202170. 10.1200/JCO.22.02170 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Hanna K, Arredondo BL, Chavez MN, Geiss C, Hume E, Szalacha L, et al. Cancer screening among rural and urban clinics during COVID-19: a multistate qualitative study. JCO Oncol Pract. 2022;18(6):e1045–e1055. 10.1200/OP.21.00658 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Howard M, Agarwal G, Lytwyn A. Accuracy of self-reports of Pap and mammography screening compared to medical record: a meta-analysis. Cancer Causes Control. 2009;20(1):1–13. 10.1007/s10552-008-9228-4 [DOI] [PubMed] [Google Scholar]
- 24. Anderson J, Bourne D, Peterson K, Mackey K; Department of Veterans Affairs. Evidence brief: accuracy of self-report for cervical and breast cancer screening. VA Evidence-based Synthesis Program Reports 2019. Feb. [PubMed] [Google Scholar]
- 25. Shapiro JA, Klabunde CN, Thompson TD, Nadel MR, Seeff LC, White A. Patterns of colorectal cancer test use, including CT colonography, in the 2010 National Health Interview Survey. Cancer Epidemiol Biomarkers Prev. 2012;21(6):895–904. 10.1158/1055-9965.EPI-12-0192 [DOI] [PMC free article] [PubMed] [Google Scholar]