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. Author manuscript; available in PMC: 2010 Apr 1.
Published in final edited form as: Open Health Serv Policy J. 2009 Jan 1;2:57–70. doi: 10.2174/1874924000902020057

Table 3.

Bivariate Associations of Predisposing, Enabling, and Reinforcing Factors with Mammography Referrals According to Setting, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, 2001–2003

Visits to Office–Based Primary Care Physicians Visits to Hospital Outpatient Clinics
na %a of Visits with Mammography Referrals CI na %a of Visits with Mammography Referrals CI
Predisposing Factors
Patient Age (yrs) p<.001 p=.009
  40–49 2,464 9.4 7.9–11.2 5,456 5.8 4.7–7.1
  50–59 2,136 11.2 9.5–13.2 4,504 5.6 4.5–6.9
  60–69 1,544 7.5 6.0–9.4 3,389 5.4 4.0–7.3
  ≥ 70 2,612 3.7 2.9–4.7 3,718 3.4 2.5–4.7
Patient Race p=.686 p=.053
  White only 7,694 7.9 6.9–8.9 12,529 4.7 3.8–5.7
  Black only 802 6.6 4.3–9.9 3,912 6.8 5.3–8.8
  Asian/Pacific Islander only 260 7.3 4.4–12.0 626 5.5 3.7–8.2
Patient Ethnicity p=.040 p=.022
  Hispanic 537 5.1 3.4–7.6 2,154 7.2 5.4–9.6
  Not Hispanic 6,879 8.2 7.2–9.3 13,182 4.9 4.1–6.0
Reason for visit p<.001 p<.001
  Chronic problem 3,533 3.6 2.8–4.5 7,829 3.5 2.7–4.6
  Acute problem 3,378 2.1 1.6–2.7 6,043 1.9 1.4–2.5
  Preventive care 1,510 31.9 28.1–35.9 2,265 22.9 18.6–27.8
Enabling Factors
 Expected source of payment p<.001 p=.182
  Medicare 2,846 4.4 3.6–5.3 4,735 4.2 3.2–5.6
  Medicaid 466 3.1b 1.6–6.0 3,357 5.5 4.3–7.0
  Private 4,585 10.8 9.4–12.4 5,255 4.7 3.5–6.3
  Other 217 7.0b 3.3–14.3 825 5.0 3.0–8.1
  Self/uninsured 395 3.6 2.0–6.4 1,999 7.3 5.4–9.8
 # of visits to practicec p<.001 p<.001
  New patient 484 12.5 9.0–17.1 2,119 4.1 2.8–5.9
  0 573 28.4 23.7–33.6 852 15.3 9.4–23.9
  1–2 2,235 10.6 8.8–12.7 3,943 6.8 5.6–8.3
  3–5 2,674 4.5 3.6–5.6 3,988 4.5 3.5–5.8
  ≥ 6 2,360 3.0 2.1–4.2 4,651 3.1 2.3–4.2
 Time spent with physician p<.001 NA
  < 15 minutes 2,030 4.4 3.2–6.1
  15–<30 minutes 5,213 7.5 6.4–8.9
  ≥ 30 minutes 1,513 13.1 10.3–16.6
Reinforcing Factors
 Physician gender p<.001 NA
  Male 6,604 6.4 5.4–7.5
  Female 2,152 11.8 9.5–14.6
 Physician age (yrs) p=.194 NA
  < 45 3,146 6.6 5.4–8.0
  45–54 3,393 8.0 6.5–9.8
  ≥ 55 2,217 9.0 6.6–12.0
 PCP status p<.001 p=.201
  PCP for that patient 6,508 4.8 4.1–5.7 6,962 5.6 4.4–7.1
  Not PCP for that patient 1,777 18.5 15.6–21.8 8,319 4.4 3.3–5.9
 Physician specialty p<.001 NA
  Internal Medicine 2,534 3.7 2.7–5.1
  General/family practice 4,734 4.4 3.6–5.4
  Obstetrics and gynecology 1,488 28.1 24.3–32.2
 Clinic type NA p<.001
  General Medicine 14,492 4.2 3.4–5.2
  Obstetrics and gynecology 2,575 17.0 14.1–20.4
 Solo vs group practice p=.122 NA
  Solo 3,313 6.7 5.2–8.4
  Group 5,443 8.4 7.2–9.8
 MSAd p<.001 p=.037
  MSA 6,914 8.6 7.6–9.7 14,733 5.7 4.7–6.8
  Non-MSA 1,842 3.8 2.7–5.4 2,334 3.3 1.8–5.8
 Geographic region p=.931 p=.019
  Northeast 1,760 8.1 6.2–10.7 4,930 6.9 5.5–8.7
  Midwest 2,185 7.5 6.0–9.2 5,205 5.8 4.3–7.6
  South 2,873 7.4 6.0–9.0 4,461 3.9 2.6–5.8
  West 1,938 8.0 6.1–10.4 2,471 3.7 2.5–5.5
a

Percentages were calculated using weighted national survey estimates. Ns are unweighted. Unweighted data from the NAMCS and NHAMCS are not nationally representative and are included merely as indicators of sample size.

b

Estimates should be interpreted with caution due to relative standard error ≥ 30%.

c

Does not include index visit.

d

MSA = metropolitan statistical area.

NA = not available.

Note: Statistical testing for differences in mammography referral across levels of predisposing, enabling, and reinforcing factors performed using the Pearson chi-square test.