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Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only

Health Care Systems for Tracking Colorectal Cancer Screening Tests

CharacteristicNStool Test
% ScreenedOR95% CIp
Patient Characteristics
Gender
Male3,3954.12
Female4,2274.381.060.851.330.587
Age
50-542,0993.33
55-643,3693.891.170.871.580.291
65-699995.611.721.202.470.003
70-791,4966.081.881.362.580.000
Insurance
Commercial and other4,6124.08
Medicare2,0835.571.391.091.760.007
Self-insured/Medicaid5872.730.660.391.110.115
Marital statusa
Married2,4056.40
Divorced8137.261.140.841.560.398
Single6344.420.680.451.020.062
Health statusa
Fair/poor20310.84
Good50015.801.540.932.550.091
Excellent/very good38814.181.360.802.300.254
Educationa
High school/GED or less50815.94
Some college or higher58612.800.770.551.090.138
Practice Characteristics
Practice affiliation
Independent4296.06
Clinic1,4163.740.600.430.850.004
LVPG6,0534.380.710.451.110.134
MATLV675.970.980.234.190.983
Specialty
Family medicine7,1714.38
General internal medicine7944.280.980.671.420.902
Size
Small3,2793.96
Large4,6864.651.180.711.960.517
Location
Urban1,7793.93
Rural3,4654.501.150.622.140.658
Suburban2,7214.481.150.791.670.477
Data Sourceb
Least complete2,8614.02
Moderately complete1544.551.140.423.110.802
Most complete4,9504.571.140.651.990.639

Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only (continued)

CharacteristicNColonoscopy
% ScreenedOR95% CIp
Patient Characteristics
Gender
Male3,3953.98
Female4,2274.761.210.961.510.100
Age
50-542,0994.53
55-643,3694.100.900.691.180.444
65-699994.200.930.641.340.684
70-791,4964.340.960.691.320.795
Insurance
Commercial and other4,6125.03
Medicare2,0834.320.850.661.090.209
Self-insured/Medicaid5872.390.460.270.800.006
Marital statusa
Married2,4056.61
Divorced8135.540.830.591.160.277
Single6343.790.560.360.860.009
Health statusa
Fair/poor20310.34
Good50013.401.340.802.260.269
Excellent/very good38814.431.460.862.490.163
Educationa
High school/GED or less50813.19
Some college or higher58613.481.030.721.450.887
Practice Characteristics
Practice affiliation
Independent4294.66
Clinic1,4162.330.490.102.350.371
LVPG6,0534.681.000.205.130.997
MATLV677.461.650.1223.280.711
Specialty
Family medicine7,1713.82
General internal medicine7948.442.320.945.700.067
Size
Small3,2791.92
Large4,6865.933.220.9710.640.055
Location
Urban1,7793.15
Rural3,4652.890.910.223.740.901
Suburban2,7216.802.240.885.750.092
Data Sourceb
Least complete2,8610.73
Moderately complete15412.9920.187.9851.030.000
Most complete4,9506.068.734.9215.470.000

Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only (continued)

CharacteristicNAny Screening Test
% ScreenedOR95% CIp
Patient Characteristics
Gender
Male3,3957.98
Female4,2279.061.150.981.350.095
Age
50-542,0997.67
55-643,3697.901.030.841.270.763
65-6999910.011.341.031.740.029
70-791,49610.291.381.101.740.006
Insurance
Commercial and other4,6128.98
Medicare2,0839.891.110.931.330.233
Self-insured/Medicaid5874.940.530.360.780.001
Marital statusa
Married2,40512.85
Divorced81312.670.980.781.250.895
Single6348.200.610.450.820.001
Health statusa
Fair/poor20321.18
Good50029.001.521.032.240.035
Excellent/very good38828.091.450.972.180.069
Educationa
High school/GED or less50828.94
Some college or higher58625.940.860.661.120.267
Practice Characteristics
Practice affiliation
Independent42910.72
Clinic1,4166.000.530.281.000.051
LVPG6,0538.950.820.401.690.590
MATLV6713.431.290.1610.270.809
Specialty
Family medicine7,1718.12
General internal medicine79412.591.630.942.820.079
Size
Small3,2795.89
Large4,68610.441.860.973.590.063
Location
Urban1,7797.03
Rural3,4657.221.030.402.630.952
Suburban2,72111.281.681.002.850.052
Data Sourceb
Least complete2,8614.79
Moderately complete15417.534.231.6710.680.002
Most complete4,95010.462.321.363.970.002

a Data for these characteristics based only on subset of the population. Marital status data come from responses to SEA form and, where available, from patient records. Education and health status data come from responses to SEA form.
b. This variable reflects the amount of screening information available for patients of a given practice. It is not an indicator of predicting screening. Instead, this variable will be used in the multivariate analyses to control for the fact that some practices had more complete data than others.

Note: For practice characteristics, confidence intervals and p values have been adjusted using cluster variance estimators.

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Page last reviewed December 2010
Internet Citation: Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only: Health Care Systems for Tracking Colorectal Cancer Screening Tests. December 2010. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/research/findings/final-reports/crcscreeningrpt/crcscreentab4-12.html