U.S. national · Why mammograms are missed

What are the reported reasons for not being screened?

A national view of U.S. women ages 40–74 who had never had a mammogram or had not had one in more than two years.

2023 National Health Interview Survey (NHIS) · 2,173 valid respondents · ≈17.1 million survey-weighted U.S. women represented. Respondents named one “single most important reason.” The six headline groups below are researcher-created combinations of the 11 original survey responses.

37.4% said they either never thought about mammography or put it off
Headline view

Six ways the answers cluster

These are analytical groupings of the original NHIS responses. They are descriptive, not causal explanations of why an individual mammogram did not happen.

Attention & follow-through · 37.4%Never thought about it; put it off
Perceived need / eligibility · 24.6%Didn’t think it was needed; no problems; too young/old
Clinician recommendation · 14.4%Doctor didn’t order it / say it was needed
Other · 12.2%Reason not captured by listed categories
Access & cost · 7.4%Cost/insurance; no doctor
Test experience · 4.1%Painful, unpleasant, or embarrassing

Attention & follow-through

Salience, postponement, or execution friction

37.4%
No reason / never thought about it24.1%
Put it off / didn’t get around to it13.3%

Do not read this as purely “behavioral.” Work, caregiving, scheduling, transportation, fear, or other structural friction may sit underneath postponement.

Perceived need / eligibility

Whether screening feels necessary or age-appropriate

24.6%
Haven’t had any problems11.6%
Didn’t need it / didn’t know I needed it8.1%
I am too young3.9%
I am too old1.0%

This grouping combines distinct mechanisms: knowledge, perceived risk, symptom-based thinking, and perceived age eligibility.

Clinician recommendation

A missing recommendation or order

14.4%
Doctor didn’t order it / didn’t say I needed it14.4%

This identifies the respondent’s reported reason. It does not tell us why a recommendation or order was absent.

Access & cost

Explicit financial or clinician-access barriers

7.4%
Too expensive / no insurance / cost6.5%
Don’t have a doctor0.9%

The relatively small explicit share does not mean structural barriers affect only 7.4% of women; they can contribute to other reported reasons too.

Test experience

Anticipated or experienced procedure burden

4.1%
Too painful, unpleasant, or embarrassing4.1%

The survey combines pain, unpleasantness, and embarrassment, so these cannot be separated.

Other

Reasons outside the predefined response categories

12.2%
Other12.2%

The public-use response does not reveal what these “other” reasons were.

What stands out

Three signals worth carrying forward

These are descriptive findings from the survey—not causal claims about why screening fails.

37%

Attention and follow-through are prominent

Nearly four in ten reported either never thinking about mammography or putting it off.

14%

The clinician interaction matters

About one in seven said their doctor did not order the mammogram or tell them they needed it.

7%

Explicit access/cost answers are not the whole structural story

Cost, insurance, or not having a doctor were named directly by about 7%. Structural barriers can still sit underneath “put it off,” “never thought about it,” and other responses.

Full evidence

All original response categories

The table preserves the 11 substantive NHIS categories rather than only the researcher-derived groups.

Sorted by weighted percentage. 95% confidence intervals account for the NHIS complex survey design.

#Reported reasonWeighted %95% CIUnweighted n
1No reason / never thought about it
Attention & follow-through
24.1%21.9–26.4%517
2Doctor didn’t order it / didn’t say I needed it
Clinician recommendation
14.4%12.6–16.3%306
3Put it off / didn’t get around to it
Attention & follow-through
13.3%11.7–15.0%299
4Other
Other
12.2%10.7–13.8%289
5Haven’t had any problems
Perceived need / eligibility
11.6%10.0–13.3%245
6Didn’t need it / didn’t know I needed this type of test
Perceived need / eligibility
8.1%6.8–9.6%173
7Too expensive / no insurance / cost
Access & cost
6.5%5.3–7.9%133
8Too painful, unpleasant, or embarrassing
Test experience
4.1%3.2–5.2%96
9I am too young
Perceived need / eligibility
3.9%2.9–5.1%69
10I am too old
Perceived need / eligibility
1.0%0.5–1.8%27
11Don’t have a doctor
Access & cost
0.9%0.5–1.5%19
Limitations & interpretation
  • The survey records one self-reported “most important” reason. Women can face several barriers at once.
  • A reported reason is not necessarily the underlying cause. For example, “put it off” can reflect scheduling friction, work, caregiving, transportation, fear, or simple postponement.
  • This is a national analysis. It should not be presented as an Illinois estimate or used to infer state- or county-level reason distributions.
  • “Doctor didn’t order it / didn’t say I needed it” records the respondent’s explanation; it does not establish why a recommendation or order was absent.
  • Weighted population counts are survey estimates, not direct Census counts, and should be displayed approximately.
Sources
Source and independence notice. Source data come from CDC’s National Health Interview Survey. This independent analysis and visualization is not affiliated with or endorsed by CDC, the National Center for Health Statistics, the Department of Health and Human Services, or the U.S. Government. Researcher-created group labels are explicitly distinguished from the original survey response categories.
2023 NHIS · National reasons

How calculated?

The denominator, weighting, uncertainty, and researcher-created grouping remain explicit.

Population
U.S. women ages 40–74 who reported never having had a mammogram or whose most recent mammogram was more than two years earlier.
Question
Respondents in this universe were asked for the single most important reason they had not completed mammography.
Sample
2,177 respondents met the question universe. Four non-substantive responses were excluded, leaving 2,173 valid responses.
Weighting
Percentages use the NHIS final Sample Adult weight WTFA_A and public-use design variables PSTRAT and PPSU.
Uncertainty
95% confidence intervals account for the complex survey design using the National Center for Health Statistics recommended Korn–Graubard approach for proportions.
Our grouping
The six headline categories are our analytical recoding of the 11 original responses. They are not CDC or NHIS categories.