Table 4.
In-person only training (n = 84) | Distance or blended training (n = 67) | |||||||
---|---|---|---|---|---|---|---|---|
Unadjusteda | Adjustedb | Unadjusted | Adjusted | |||||
β | SE | β | SE | β | SE | β | SE | |
EBDM SKILL GAPSc | ||||||||
Community assessment gap | −0.45 | 0.32 | −0.38 | 0.33 | −0.09 | 0.34 | −0.20 | 0.36 |
Quantifying the issue gap | 0.06 | 0.33 | −0.06 | 0.34 | −0.00 | 0.35 | −0.22 | 0.37 |
Prioritization gap | −0.91**d | 0.31 | −0.90** | 0.32 | −0.57 | 0.33 | −0.50 | 0.34 |
Economic evaluation gap | −0.72 | 0.40 | −0.86* | 0.41 | −0.81 | 0.42 | −1.23** | 0.44 |
Action planning gap | −0.55 | 0.29 | −0.57 | 0.30 | −0.49 | 0.30 | −0.66* | 0.32 |
Adapting interventions gap | −0.74* | 0.33 | −0.87* | 0.35 | 0.06 | 0.35 | −0.24 | 0.37 |
Evaluation designs gap | −0.48 | 0.37 | −0.68 | 0.41 | −0.24 | 0.39 | −0.27 | 0.41 |
Quantitative evaluation gap | −0.28 | 0.34 | −0.29 | 0.35 | −0.56 | 0.36 | −0.78* | 0.38 |
Qualitative evaluation gap | −0.38 | 0.35 | −0.38 | 0.40 | −0.60 | 0.38 | −0.68 | 0.40 |
Communicating research gap | −0.29 | 0.38 | −0.28 | 0.40 | −0.29 | 0.40 | −0.49 | 0.42 |
Mean of 10 EBDM skill gaps | −0.49 | 0.26 | −0.55* | 0.27 | −0.44 | 0.27 | −0.64* | 0.29 |
Linear regression models estimating post-gap score effects (control as referent) and pre-gap score as covariate.
Linear regression models estimating post-gap score effects (control group as referent) adjusting for job position, gender, age category, years in public health, agency type, master degree and state as random effect.
Participants were asked to rate both the importance and availability on an 11 point Likert scale (1 = not important/available; 11 = very important/available). Gaps were calculated by subtracting the Likert score rating for availability from rated importance.
Bold text represent significantly lower skill gaps in post-survey from pre-survey compared to the control group, where asterisks represent
p < 0.05,
p < 0.01.
EBDM, evidence-based decision making; β, beta value; SE, standard error.