Table 3.
Total effect | Direct effect | Indirect effect | |
---|---|---|---|
Outcome: Enrollment in NCI-Sponsored Cancer Clinical Trials in 2011 | |||
Perceptions of Implementation Climate | 0.285* | 0.285* | N/A |
Organizational Implementation Policies and Practices (IPP) | 0.069* | N/A | 0.069* |
Age | −0.264* | −0.179 | −0.085 |
Hospital-Based^ | −0.043 | −0.066 | 0.023 |
Solo Practice^ | −0.001 | 0.034 | −0.035 |
Non U.S. Trained | −0.035 | −0.011 | −0.024 |
PI | 0.356* | 0.322* | 0.034 |
Tenure | 0.224 | 0.117 | 0.107 |
Oncology + | −0.097 | −0.075 | −0.022 |
Radiation Oncology + | −0.162* | −0.120 | −0.042 |
Surgery + | −0.114 | −0.077 | −0.037 |
Other Specialty + | −0.147* | −0.120 | −0.027 |
Organizational Size | 0.028* | N/A | 0.028* |
Structure: Hospital Cancer Center ++ | 0.047* | N/A | 0.047* |
Structure: Research Institute ++ | 0.016* | N/A | 0.016* |
Structure: Other ++ | 0.024* | N/A | 0.024* |
Organizational Maturity | 0.000 | N/A | 0.000 |
Model Fit Statistics: CFI = 0.933; TLI = 0.918; RMSEA = 0.045; SRMR = 0.048.
Note: Total effects is the sum of direct and indirect effects.
Note: Indirect effects are the product of the regression coefficients leading to the outcome. For example for OIPP, OIPP predicts perceptions and perceptions predicts enrollment. The indirect effect and subsequently the total effect of OIPP on enrollment equals the product of the two regression coefficients (From Figure 3) 0.243*0.285 = 0.069.
*Statistically Significant (p < 0.05).
^Compared to Group Practice.
+Compared to General Non-Specialized Oncology.
++Compared to Separate Non-Profit Structure.