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. Author manuscript; available in PMC: 2015 Sep 1.
Published in final edited form as: Am J Prev Med. 2014 Jun 18;47(3):315–319. doi: 10.1016/j.amepre.2014.04.018

Table 2.

Significant predictors of Pap test non-provision, multivariate logistic regression,a U.S., DocStyles Survey, 2012 (N = 892)

Predictive category AOR (95% CI) p-value* Reference category
PHYSICIAN CHARACTERISTICS
Specialty
  Internist 1.93 (1.31, 2.84) 0.001 Family practitioner
Gender
  Male 3.19 (1.97, 5.15) <0.001 Female
PRACTICE CHARACTERISTICS
Geographic region
  Northeast 2.19 (1.27, 3.77) 0.005 Midwest
  South 2.24 (1.25, 4.00) 0.007
  West 1.40 (0.79, 2.46) 0.248
MSA with population >5 million
  Yes 2.54 (1.68, 3.84) <0.001 No
SCREENING BELIEFS
Patients are best served by having Pap tests performed by gynecologists
  Agree 8.80 (5.58, 13.88) <0.001 Disagree
  Not sure 6.56 (3.76, 11.46) <0.001
The reimbursement for Pap tests is typically too low to cover the costs associated with providing them
  Agree 1.53 (0.89, 2.60) 0.121 Disagree
  Not sure 3.39 (2.10, 5.46) <0.001

Note: Table includes variables in the multivariate model with one or more significant categories. Boldface indicates statistical significance, p < 0.05.

a

The model included the variables that were significantly associated with Pap test non-provision in unadjusted analyses: specialty, gender, geographic region, MSA with population >5 million, MSA with population >3 million, MSA with population >1 million, rural practice area, belief that patients are best served by having Pap test performed by gynecologists, belief that the reimbursement for Pap test is typically too low to cover the costs associated with providing them, and belief that women prefer to receive Pap tests from female providers.

*

Forward conditional logistic regression

MSA, Metropolitan Statistical Area