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Table 2 Standardized estimates of structural equation modeling

From: Complex implementation mechanisms in primary care: do physicians’ beliefs about the effectiveness of innovation play a mediating role? Applying a realist inquiry and structural equation modeling approach in a formative evaluation study

Path (a – c)

Direct effect

Indirect effect

Total effect

Path a:

 Organizational Readiness (ORIC) – > Contextualized beliefs (CB)

0.560** [CI: 0.25 – 0.69]

N/A

0.560** [CI: 0.25 – 0.69]

 Std. Error

0.112

 

0.112

Path a (with covariates):

   

 Organizational Readiness (ORIC) – > Contextualized beliefs (CB)

0.548** [CI: 0.24 – 0.64]

N/A

0.548** [CI: 0.24 – 0.64]

 Std. Error

0.103

 

0.103

Path b:

 Contextualized beliefs (CB) – >  Behavioral Intention (BI)

0.510** [CI: 0.23 – 0.90]

N/A

0.510** [CI: 0.23 – 0.90]

 Std. Error

0.169

 

0.169

Path b (with covariates):

 Contextualized beliefs (CB) – >  Behavioral Intention (BI)

0.478** [CI: 0.25 – 0.92]

N/A

0.478** [CI: 0.25 – 0.92]

 Std. Error

0.170

 

0.170

Path c:

 Organizational Readiness (ORIC) – > Behavioral Intention (BI)

0.388** [CI: 0.14 – 0.58]

0.286** [CI: 0.10 – 0.43]

0.674** [CI: 0.48 – 0.78]

 Std. Error

0.114

0.082

0.077

Path c (with covariates):

   

 Organizational Readiness (ORIC) – > Behavioral Intention (BI)

0.419** [CI: 0.18 – 0.65]

0.262** [CI: 0.10 – 0.41]

0.681** [CI: 0.49 – 0.87]

 Std. Error

0.118

0.079

0.097

Covariates

 Age < 50a

-0.075

-0.031

-0.106

 Age > 50a

0.006

0.047

0.054

 Gender

-0.054

0.017

-0.036

 Length of PCP experience (Years)

0.004

0.027

0.031

 Structural: Practice ownerb

-0.040

-0.007

-0.048

 Structural: Urban areac (GP practice)

0.068

0.068

0.137*

  1. Model Fit Statistics: CFI = 0.985; TLI = 0.981; RMSEA = 0.034.; SRMR = 0.055 (with covariates)
  2. Total effects is the sum of direct and indirect effects; Indirect effects are the product of the regression coefficient leading to the outcome. For example, for CB, ORIC predicts CB and CB predicts BI. The indirect effect equals the product of the two regression coefficients from path a * path b
  3. Effects of covariates relate to M and Y
  4. **Statistically Significant (p < 0.01)
  5. * Statistically Significant (p < 0.05)
  6. aCompared to Age > 60
  7. bCompared to employed primary care physicans (PCP)
  8. cCompared to rural area