Luppo Kuillman

Chapter 5 120 Table 4: Multiple regression analysis with Paternalism as independent variable  Model  Vignette 1  “Unindicated antibiotics”   Vignette 2  “Schizophrenic patient”  Beta Sig .  Collinearity   Statistics  Beta  Sig .  Collinearity   Statistics  Tolerance VIF Tolerance VIF 1  (Constant)  .005  .001   Age  -.029  .721  .998  1.002 .085 .294 .998  1.002  Gender  -.181  .024  .998  1.002  -.027  .738  .998  1.002  2  (Constant)  .012  .003   Age  -.005  .950  .929  1.077 .101 .232 .929  1.077  Gender  -.201  .014  .946  1.057  -.040  .629 .946  1.057  Paternalism  -.010  .905 .883  1.132 .017 .841 .883  1.132  Moral disen - gagement  .182  .026  .946  1.058 .082 .326 .946  1.058  3  (Constant)  .013  .003   Age  -.006  .944  .924  1.082 .097 .253 .924  1.082  Gender  -.201  .015  .945  1.058  -.042  .620 .945  1.058  Paternalism  -.008  .926 .839  1.192 .030 .734 .839  1.192  Moral disen - gagement  .181  .028  .936  1.068 .077 .362 .936  1.068  PATER*MDS#  .009  .916  .933  1.072 .055 .517 .933  1.072  # = cross-product of Paternalism x moral disengagement  DISCUSSION The study’s primary aim was to assess the predictive value of a morally deliberative attitude and a paternalistic attitude on yielding to pressure in situations where healthcare professionals (NPs and PAs) are confronted with a moral conflict. We expected that the moral deliberate attitude would increase (H1), and the paternalistic attitude would decrease (H2), yielding to pressure. Also, we expected the cognitive process of moral disengagement to have a strengthening effect on the relationship between moral deliberative attitude and the propensity of yielding to pressure (H3).  The data gave partial support for hypothesis 1 as moral deliberation positively predicted yielding to pressure in the antibiotic scenario. However, it negatively predicted yielding to pressure in the schizophrenic patient scenario. Both these effects were not moderated by propensity to morally disengage, rejecting hypothesis