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. 2021 Jul 12;5(1):e190. doi: 10.1017/cts.2021.813

Table 5.

Multivariable ordinal logistic regression models to predict proportion of rural clinical trial participants a

Model Participants from Arizona b Participants from Florida b Risk factors
Blood draw c Drugs or biological agents c Drugs or biological agents requiring FDA review c Medical or educational records c Ionizing radiation c Any invasive procedure c Medical devices c Medical devices requiring FDA review c
Model 1 −2 (0.3); <.0001 −1 (0.3); .0002 0.1 (0.4); .8 NA NA NA NA NA NA NA
Model 2 −2 (0.3); <.0001 −1 (0.3); .0003 NA −0.3 (0.3); .3 NA NA NA NA NA NA
Model 3 −2 (0.3); <.0001 −1 (0.3); .0003 NA NA 0.3 (0.3); .4 NA NA NA NA NA
Model 4 −2 (0.3); <.0001 −1 (0.3); .0003 NA NA NA 0.2 (0.2); .4 NA NA NA NA
Model 5 −2 (0.3); <.0001 −1 (0.3); .0003 NA NA NA NA −0.3 (0.2); .2 NA NA NA
Model 6 −2 (0.3); <.0001 −1 (0.3); .0002 NA NA NA NA NA 0.2 (0.2); .3 NA NA
Model 7 −2 (0.3); <.0001 −1 (0.3); .0002 NA NA NA NA NA NA 0.2 (0.3); .4 NA
Model 8 −2 (0.3); <.0001 −1 (0.3); .0002 NA NA NA NA NA NA NA 0.3 (0.4); .5
Model 9 −2 (0.3); <.0001 −1 (0.3); .0002 0.5 (0.5); .3 −0.5 (0.5); .3 0.3 (0.3); .3 0.08 (0.2); .8 −0.3 (0.2); .2 0.3 (0.2); .1 0.004 (0.4); .9 0.1 (0.5); .8

FDA, US Food and Drug Administration; NA, not applicable.

a

Values are “parameter estimate (standard error); P value.” Models 1–8 are for individual risk factors; Model 9 includes all risk factors.

b

Reference group = participants at Mayo Clinic in the Midwest.

c

Risk factors.