Skip to main content
. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Health Care Manage Rev. 2013 Jan;38(1):20–28. doi: 10.1097/HMR.0b013e3182497262

Table 3.

Hierarchical linear regression models predicting ACIC scores

Model Regression Coefficient Standard error Standardized coefficient p
Model 1 (direct effect)
Relational Coordination 0.79 (.20) 0.26 <.001
Model 2 (mediation)
Relational Coordination 0.55 (0.19) 0.16 <.001
Reciprocal Learning 1.11 (0.17) 0.37 <.001
Model 3 (adjusted for covariates)
Relational Coordination 0.45 (0.22) 0.13 <.05
Reciprocal Learning 0.88 (0.18) 0.32 <.001
Staff characteristics
 Age -0.01 (0.01) -0.06 ns
 Gender -0.03 (0.35) 0.02 ns
 Education 0.04 (0.12) 0.03 ns
 Years in practice 0.02 (0.03) 0.05 ns
 Professional Staff Role
  NP/PA vs physician -0.05 (0.53) -0.01 ns
  DCS vs physician 0.83 (0.46) 0.04 ns
  NDCS vs physician 0.98 (0.47) 0.05 ns
Practice Characteristics
 Number of primary care providers -0.22 (0.27) -0.05 ns
 Number of non-primary care provider staff 0.02 (0.04) -0.03 ns
 Patients of white, nonHispanic race/ethnicity (%) -0.01 (0.01) -0.05 ns
 Patients on Medicare (%) 0.01 (0.01) 0.01 ns
 Patients on Medicaid (%) 0.01 (0.01) 0.06 ns
 Holds regular meetings to discuss clinical issues 0.16 (0.32) 0.09 ns
 Has electronic medical records 0.83 (0.31) 0.20 <.05

Abbreviations: NP: nurse practitioner, PA: physician’s assistant, DCS: direct care staff, NDCS: non-direct care staff

HHS Vulnerability Disclosure