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. Author manuscript; available in PMC: 2020 May 18.
Published in final edited form as: J Health Care Poor Underserved. 2019;30(4):1518–1542. doi: 10.1353/hpu.2019.0089

Table 2.

STRUCTURAL EQUATION MODELING RESULTS (N = 255)a

Variables B SE(B) Z p β
Competence measured by:
 I can ask a person directly if she/he is a transgender person. 1 0.738
 I can ask about bodily modifications she/he has conducted. 0.067 18.066 <.001 0.887
 I can explore the side effects or health consequences of gender transitioning procedures. 1.217 0.075 16.228 <.001 0.898
 I can ask if a patient is currently using hormones. 1.336 0.081 16.525 <.001 0.986
 I can ask if a patient has ever been injected with silicone. 1.292 0.079 16.427 <.001 0.954
 I can ask him/her about illegal drug use. 1.116 0.085 13.108 <.001 0.824
 I can ask about engagement in sex work. 1.131 0.072 15.688 <.001 0.834
 I can explore history of mental health problems with a transgender patient. 1.125 0.077 14.591 <.001 0.830
Willingness measured by:
 If I were to require information on how to improve my clinical services for transgender persons, I can obtain such information. 1 0.653
 I can provide general health related services to a transgender person. 1.145 0.085 13.497 <.001 0.747
 I can speak with a transgender person in a clinical scenario with a feeling anxious. 1.427 0.114 12.544 <.001 0.931
 I can listen to a transgender person in a clinical scenario without being judgmental. 1.484 0.116 12.759 <.001 0.968
 I can feel comfortable when interacting with a transgender person in a clinical scenario. 1.377 0.112 12.336 <.001 0.898
 I can provide a referral to another physician that offers services to transgender persons. 1.06 0.107 9.948 <.001 0.691
 I can provide quality health services to the transgender population with the information I already have. 1.088 0.09 12.099 <.001 0.710
 I can provide specialized services to transgender persons based in my specific area of expertise. 1.073 0.092 11.65 <.001 0.700
 I can feel comfortable with a transgender person in a social scenario. 1.332 0.111 12.027 <.001 0.869
Stigma measured by:
 If I found out that my best friend was changing their sex I would not support him/her. 1 0.764
 Changing one sex is an affront God. 1.213 0.112 10.869 <.001 0.877
 Men who act like women should be ashamed of themselves. 1.103 0.113 9.734 <.001 0.820
 Children should play with toys appropriate to their own sex. 0.625 0.102 6.158 <.001 0.516
 Men who see themselves as women have a mental health problem. 0.929 0.1 9.263 <.001 0.721
 Feminine boys should be treated for their problems by a qualified health professionals. 0.431 0.103 4.192 <.001 0.366
 I would discourage my son/daughter from having a transgender friend. 0.912 0.104 8.811 <.001 0.710
 Sex change operation are morally wrong. 1.123 0.113 9.899 <.001 0.831
 Feminine men make me feel uncomfortable. 1.151 0.097 11.886 <.001 0.846
 People are either men or women; there should be no middle point. 1.036 0.102 10.194 <.001 0.783
 I would prefer that colleagues did not refer transgender women to my clinic. 1.28 0.121 10.616 <.001 0.910
 I would avoid sharing a practice with a colleague that provide services to transgender women. 1.275 0.13 9.845 <.001 0.907
Stigma regressed on:
 Competence −0.158 0.116 −1.356 0.180 −0.133
 Willingness −0.414 0.140 −2.963 <.001 −0.308
 Knowledge −0.994 0.344 −2.886 0.004 −0.189
 Age (years) −0.023 0.013 −1.780 0.075 −0.315
 Female Gender −0.083 0.124 −0.669 0.503 −0.095
 Gay/Lesbian Orientation −0.035 0.203 −0.174 0.862 −0.040
 Rural Location 0.102 0.138 0.739 0.460 0.117
Religionb Wald χ2(3) = 22.46 <.001
 Protestant 0.556 0.155 3.590 <.001 0.635
 None −0.368 0.214 −1.717 0.086 −0.420
 Other −0.283 0.206 −1.373 0.170 −0.322
Religion Importancec Wald χ2(3) = 8.17 0.043
 Somewhat important −0.159 0.209 −0.759 0.448 −0.181
 Important −0.061 0.225 −0.269 0.788 −0.069
 Very important 0.299 0.244 1.227 0.220 0.341
Religion Participationd Wald χ2(2) = 4.33 0.115
 Various yearly 0.094 0.145 0.65 0.516 0.108
 Weekly 0.374 0.193 1.941 0.052 0.427
Years Practicing 0.024 0.013 1.888 0.059 0.330
Transgender Training −0.467 0.164 −2.843 0.004 −0.534
Social Desirability 0.44 0.103 4.25 <.001 0.314

Notes:

a

Estimates (B) are averaged over 100 multiply-imputed data sets. Standard errors of B are based on Rubin’s rules for combining standard errors from multiple imputations. Z is the estimate divided by its standard error. p is the p-value for the test that the estimate is zero in the population. β is the standardized regression coefficient.

b

Reference group: Catholic

c

Reference group: Not important

d

Reference group: No participation