Skip to main content

Table 3 Distribution of patient and practice characteristics with highertechnologist-associated image quality

From: Mammogram image quality as a potential contributor to disparities in breastcancer stage at diagnosis: an observational study

Β 

N

(%)

p-value

Race/ethnicity

Β Β 

0.13

non-Hispanic White

268

57

Β 

Black or Hispanic

221

49

Β 

Annual household income

Β Β 

0.03

Higher (>$30,000)

320

58

Β 

Lower (<$30,000)

152

45

Β 

Educational attainment

Β Β 

0.04

More than high-school

326

58

Β 

High-school degree or less

159

46

Β 

Health insurance status

Β Β Β 

Some private insurance

380

55

Β 

No private insurance

109

50

Β 

Facility type

Β Β 

<0.0001

Public

31

48

Β 

Private, non-academic

294

44

Β 

Academic (affiliate)

38

53

Β 

Academic (hospital)

126

78

Β 

Mammography interpretation

Β Β 

<0.0001

Sole reliance on generalists

111

40

Β 

Mixed reliance

153

49

Β 

Sole reliance on specialists

170

74

Β 

Sole reliance on dedicated techs

Β Β Β 

No

271

57

Β 

Yes

163

55

Β 

Type of mammogram

Β Β 

<0.0001

Analog

345

42

Β 

Digital

144

82

Β 
  1. P-values >0.2 are suppressed. P-values calculated from logisticregression of image quality indicator against each characteristicand accounting for clustering of multiple images per patient.