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. 2009 Dec;13(6):735–741. doi: 10.1089/gtmb.2009.0037

Table 5.

Factors Associated with Referral to Cancer Genetics Specialists

 
Referral
  Yes (n, %) No (n, %) p-Value
Demographics      
aGender     <0.0005
  Male 233 (46.5) 268 (53.5)  
  Female 203 (62.7) 121 (37.3)  
 Age, years     0.406
  <50 214 (51.1) 205 (48.9)  
  50+ 224 (54.0) 191 (46.0)  
aSpecialty     <0.0005
  OB/GYN 142 (77.2) 42 (22.8)  
  Internal medicine 92 (38.8) 145 (61.2)  
  Family medicine 153 (46.5) 176 (53.5)  
 Years in practice     0.371
  <5 54 (54.6) 45 (45.4)  
  5–10 79 (49.1) 82 (50.9)  
  11–15 64 (53.8) 55 (46.2)  
  16–20 53 (45.7) 63 (54.3)  
  20+ 185 (55.4) 149 (44.6)  
 Academic affiliation     0.142
  Teaching hospital 223 (56.9) 169 (43.1)  
  Nonteaching hospital 224 (51.7) 209 (48.3)  
aAccess to genetic   counselor     <0.0005
  >10 miles 135 (31.3) 296 (68.7)  
  Within 10 miles 299 (75.7) 96 (24.3)  
Cancer genetic risk assessment practices
 Take a three-generation   pedigree     <0.0005
  Yes 169 (62.1) 103 (37.9)  
  No 270 (48.0) 293 (52.0)  
 Ask for ethnicity     <0.0005
  Yes 178 (61.8) 110 (38.2)  
  No 261 (47.7) 286 (52.3)  
 Use statistical   assessment tools     <0.0005
  Yes 82 (73.9) 29 (26.1)  
  No 357 (49.3) 367 (50.7)  
Comfort with cancer genetics information
 Sufficient risk assessment tools     0.201
  Always/often 169 (56.5) 130 (43.5)  
  Sometimes 184 (51.0) 177 (49.0)  
  Rarely/never 81 (48.8) 85 (51.2)  
 Comfort providing screening/prevention recommendations     0.300
  Very comfortable/  somewhat comfortable 300 (54.15) 254 (45.85)  
  Somewhat uncomfortable/very uncomfortable/neither comfortable nor uncomfortable 137 (50.18) 136 (49.82)  
a

Statistically significant after multiple logistic regression analysis.