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. 2020 Jul 22;17(15):5268. doi: 10.3390/ijerph17155268

Table 4.

Linear regression models of Patient Assessment of Care for Chronic Conditions (PACIC+) domains at post-implementation.

Model Standardized Beta t Sig. 95% Confidence Interval R2
Assess (Constant) 6.085 <0.001 1.665 3.261 0.44
Assess pre −0.604 −10.849 <0.001 −0.667 −0.462
ACIC1 diff. 0.335 4.220 <0.001 0.107 0.296
ACIC4 diff. −0.212 −2.767 0.006 −0.359 −0.060
Advise (Constant) 8.925 <0.001 2.488 3.899 0.55
ACIC1 diff. 0.266 3.742 <0.001 0.077 0.248
Advise pre −0.716 −14.543 <0.001 −0.803 −0.611
Agree (Constant) 7.247 <0.001 2.015 3.522 0.48
ACIC1 diff. 0.243 3.172 0.002 0.058 0.250
Agree pre −0.658 −12.304 <0.001 −0.717 −0.519
Assist (Constant) 6.940 <0.001 1.844 3.307 0.46
ACIC1 diff. 0.296 3.737 <0.001 0.085 0.273
ACIC4 diff. −0.225 −3.050 0.003 −0.369 −0.079
Assist pre −0.656 −11.762 <0.001 −0.684 −0.488
Arrange (Constant) 6.553 <0.001 2.023 3.765 0.46
ACIC1 diff. 0.287 3.679 <0.001 0.099 0.328
ACIC4 diff. −0.242 −3.283 0.001 −0.476 −0.119
Arrange pre −0.649 −11.836 <0.001 −0.806 −0.576
5As summary (Constant) 6.867 <0.001 1.802 3.254 0.45
ACIC1 diff. 0.299 3.812 <0.001 0.082 0.258
ACIC4 diff. −0.178 −2.333 0.021 −0.306 −0.026
5As summary pre −0.625 −11.270 <0.001 −0.697 −0.490

Other variables included in the models: Sex, age, civil status, education, activity, ACIC2 diff. Pre: Pre-implementation score. Diff.: Difference in scores between post- and pre-implementation.