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Table 4 Parameter estimates from hurdle regression of NC-CPESN implementation and program reach of NC-CPESN implementation

From: Testing the organizational theory of innovation implementation effectiveness in a community pharmacy medication management program: a hurdle regression analysis

Characteristics

Equation 1: binary (implementation)

AMEa,b (SE)

Equation 2: positives (program reach)

AMEa (SE)

Key independent variables

 Implementation climated

2.65 (1.85 × 103)c***

5.05 (1.5)**

 Innovation-values fitd

2.17 (1.041 × 102)*

11.79 (3.170)***

Patient needs and resources

 Rural location

−0.77 (0.016)

− 12.81 (4.658)**

 Clinical factors

−0.04 (3 × 104)

− 0.14 (0.11)

 Social factors

−0.06 (3 × 104)

− 0.10 (0.10)

 340B participation

5.70 (3.50 × 102)*

12.80 (5.760)*

 Proportion of high-risk patients

0.00 (0.00)*

–

 Log of high-risk patients

–

(exposure)

Available resources

 Presence of a clinical pharmacist

9.86 (4.75 × 102)*

32.33 (10.670)***

 Total number of staff

− 0.31 (2.6 × 103)

− 1.98 (0.550)***

 Presence of pharmacy student or resident

6.86 (6.37 × 102)

14.55 (7.273)

Access to knowledge about the intervention

 Amount of experience with NC-CPESN (months)

0.43 (1.3 × 103)**

1.57 (0.610)***

 Past performance with NC-CPESN

0.46 (1.3 × 102)***

0.10 (0.031)***

 Participation in Medicare Part D MTM

18.73 (6.246 × 102)**

28.05 (13.83)*

Structural characteristics

 Independent pharmacy

4.14 (2.02 × 102)*

0.43 (5.6)

 Low prescription volume

1.08 (0.032)

7.23 (7.21)

 Established pharmacy

2.02 (0.015)

4.14 (7.46)

Alpha

–

0.56 (7.08 × 102)**

Constant

− 21.04 (4.79)***

− 14.03 (1.383)***

Observations

180

104

  1. Significance of hurdle regression: *p < 0.05, **p < 0.01, ***p < 0.001
  2. aAME, average marginal effect
  3. bEffect sizes for the stage 1 model are in percentage points; for example, 9.86 for presence of clinical pharmacist indicates that the probability of implementing NC-CPESN was 9.86 percentage points higher for pharmacies that have a clinical pharmacist
  4. cAny standard errors that were carried out to the ten-thousandths place value or smaller are represented in scientific notation
  5. dEquation 1 and 2 include an interaction term (implementation climate*innovation-values fit), which is represented in the AME of implementation climate and innovation-values fit