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. 2019 Aug 29;16:E118. doi: 10.5888/pcd16.190030

Table 3. Primary Care Patients (3,760) Up to Date With Cervical Cancer Screening in 2016, by Individual-Level Attributes and Attributes of Populations in Their Census Tracts of Residence, Philadelphia, Pennsylvania, 2016.

Patient and Census Tract Attributes Percentage Screened (Univariate Analysis) aRR of Being Unscreened (95% Confidence Interval)a
All eligible patients 75.3 NA
Age, y
23–39 79.9b 0.52 (0.47–0.58)c
40–49 73.9 0.68 (0.59–0.77)c
50–64 60.9 Reference
Insurance coverage
Medicaid 76.1b Reference
Medicare 67.9 0.99 (0.83–1.19)
Private 80.0 0.84 (0.73–0.97)c
Uninsured/unknown 64.5 1.39 (1.22–1.59)c
Population Attributes of Patients’ Census Tracts of Residenced
Racial segregation index, z scoree
≤1.96 78.3b 0.97 (0.86–1.10)
>1.96 73.5 Reference
Annual income below federal poverty level, %
3–28 72.9b 1.06 (0.94–1.21)
28–37 77.0 1.00 (0.87–1.14)
37-67 76.0 Reference
Violent crimes per 10,000 population
24–283 75.9 1.01 (0.89–1.15)
285–408 74.8 0.95 (0.85–1.07)
409–877 75.2 Reference
Neighborhood perceived as safe, %
29–79 78.4b 0.91 (0.80–1.04)
79–85 72.9 1.03 (0.91–1.16)
86–95 74.5 Reference
Social capital index, possible range 0–3
1.04–1.67 75.7 0.93 (0.82–1.04)
1.67–1.83 74.2 0.99 (0.87–1.13)
1.83–2.35 75.6 Reference
Completed high school, %
43–76 76.4 0.92 (0.81–1.04)
77–83 74.6 1.00 (0.88–1.12)
83–100 74.9 Reference
Completed a bachelor’s degree, %
1–10 74.5 0.97 (0.84–1.11)
10–15 74.9 0.93 (0.81–1.06)
15–88 76.5 Reference

Abbreviation: NA, not applicable.

a

aRR = Adjusted estimate of relative risk of being unscreened. For individual-level patient attributes, values are shown for models that did not include census tract attributes; aRR values for these attributes were similar in all models that included census tract attributes, and aRR values with confidence intervals that exclude 1.0 were the same.

b

P < .05 for contingency table with 2 to 4 rows (depending on variable) and 2 columns (screened versus unscreened).

c

P < .05, 2-tailed.

d

These measures describe attributes of the population in each patient’s census tract of residence. Categories are terciles for all measures, except for racial segregation index. Tercile boundaries for census tract attributes might appear to overlap because of rounding.

e

A z score of >1.96 indicates significant racial segregation in census tract where patient resides.