Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only Health Care Systems for Tracking Colorectal Cancer Screening Tests CharacteristicNStool Test% ScreenedOR95% CIpPatient CharacteristicsGenderMale3,3954.12————Female4,2274.381.060.851.330.587Age50-542,0993.33————55-643,3693.891.170.871.580.29165-699995.611.721.202.470.00370-791,4966.081.881.362.580.000InsuranceCommercial and other4,6124.08————Medicare2,0835.571.391.091.760.007Self-insured/Medicaid5872.730.660.391.110.115Marital statusaMarried2,4056.40————Divorced8137.261.140.841.560.398Single6344.420.680.451.020.062Health statusaFair/poor20310.84————Good50015.801.540.932.550.091Excellent/very good38814.181.360.802.300.254EducationaHigh school/GED or less50815.94————Some college or higher58612.800.770.551.090.138Practice CharacteristicsPractice affiliationIndependent4296.06————Clinic1,4163.740.600.430.850.004LVPG6,0534.380.710.451.110.134MATLV675.970.980.234.190.983SpecialtyFamily medicine7,1714.38————General internal medicine7944.280.980.671.420.902SizeSmall3,2793.96————Large4,6864.651.180.711.960.517LocationUrban1,7793.93————Rural3,4654.501.150.622.140.658Suburban2,7214.481.150.791.670.477Data SourcebLeast complete2,8614.02————Moderately complete1544.551.140.423.110.802Most complete4,9504.571.140.651.990.639Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only (continued)CharacteristicNColonoscopy% ScreenedOR95% CIpPatient CharacteristicsGenderMale3,3953.98————Female4,2274.761.210.961.510.100Age50-542,0994.53————55-643,3694.100.900.691.180.44465-699994.200.930.641.340.68470-791,4964.340.960.691.320.795InsuranceCommercial and other4,6125.03————Medicare2,0834.320.850.661.090.209Self-insured/Medicaid5872.390.460.270.800.006Marital statusaMarried2,4056.61————Divorced8135.540.830.591.160.277Single6343.790.560.360.860.009Health statusaFair/poor20310.34————Good50013.401.340.802.260.269Excellent/very good38814.431.460.862.490.163EducationaHigh school/GED or less50813.19————Some college or higher58613.481.030.721.450.887Practice CharacteristicsPractice affiliationIndependent4294.66————Clinic1,4162.330.490.102.350.371LVPG6,0534.681.000.205.130.997MATLV677.461.650.1223.280.711SpecialtyFamily medicine7,1713.82————General internal medicine7948.442.320.945.700.067SizeSmall3,2791.92————Large4,6865.933.220.9710.640.055LocationUrban1,7793.15————Rural3,4652.890.910.223.740.901Suburban2,7216.802.240.885.750.092Data SourcebLeast complete2,8610.73————Moderately complete15412.9920.187.9851.030.000Most complete4,9506.068.734.9215.470.000Table 4.12. Screening Rate Bivariate Logistic Regression, Intervention Practices Only (continued)CharacteristicNAny Screening Test% ScreenedOR95% CIpPatient CharacteristicsGenderMale3,3957.98————Female4,2279.061.150.981.350.095Age50-542,0997.67————55-643,3697.901.030.841.270.76365-6999910.011.341.031.740.02970-791,49610.291.381.101.740.006InsuranceCommercial and other4,6128.98————Medicare2,0839.891.110.931.330.233Self-insured/Medicaid5874.940.530.360.780.001Marital statusaMarried2,40512.85————Divorced81312.670.980.781.250.895Single6348.200.610.450.820.001Health statusaFair/poor20321.18————Good50029.001.521.032.240.035Excellent/very good38828.091.450.972.180.069EducationaHigh school/GED or less50828.94————Some college or higher58625.940.860.661.120.267Practice CharacteristicsPractice affiliationIndependent42910.72————Clinic1,4166.000.530.281.000.051LVPG6,0538.950.820.401.690.590MATLV6713.431.290.1610.270.809SpecialtyFamily medicine7,1718.12————General internal medicine79412.591.630.942.820.079SizeSmall3,2795.89————Large4,68610.441.860.973.590.063LocationUrban1,7797.03————Rural3,4657.221.030.402.630.952Suburban2,72111.281.681.002.850.052Data SourcebLeast complete2,8614.79————Moderately complete15417.534.231.6710.680.002Most complete4,95010.462.321.363.970.002a 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.Return to Document Current as of 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