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. 2020 May 15;20:155. doi: 10.1186/s12909-020-02065-w

Table 3.

serial evaluation of participants’ familiarity with core competency (CC) teachings and assessments (n = 28 in each group)

Questions regular FD module participants intervention FD module participants
I am familiar with … ..
1.delivering CC-based teachings
pre-module end-of-module (Δ% from pre-module) follow-up (Δ% from pre-module) pre-module end-of-module (Δ% from pre-module) follow-up (Δ% from pre-module)
-Teaching clinics 3.5 ± 0.4 4.2 ± 0.3 (20%) 4.3 ± 0.1 (23%) 3.4 ± 0.8

4.6 ± 0.9 (35%)*

#1.33

4.7 ± 0.2 (38%)*

#4

-Itinerant bedside 3.6 ± 0.2 4.3 ± 0.5 (19%) 4.6 ± 0.7 (28%) 3.7 ± 0.3 4.3 ± 0.5 (16%) 4.5 ± 0.6 (22%)
-Circuit bedside 3.7 ± 0.4 4.6 ± 0.5 (24%) 4.5 ± 0.6 (22%) 3.8 ± 0.2 4.2 ± 0.7 (11%) 4.6 ± 0.3 (21%)
2. delivering CC-based assessments
 - Case-based discussion (CBD) 2.9 ± 0.5 3.5 ± 0.3 (21%) 3.7 ± 0.4 (28%) 2.8 ± 0.3

4.2 ± 0.5 (50%)*

#2.33

4.4 ± 0.6 (57%)*

#1.75

 -mini-CEX 3.3 ± 0.2 3.7 ± 0.6 (12%) 3.8 ± 0.3 (15%) 3.1 ± 0.4

4.4 ± 0.6 (42%)*

#1.17

4.5 ± 0.2 (45%)*

#2.33

 -OSCE 2.7 ± 0.6 3.3 ± 0.2 (22%) 3.2 ± 0.4 (19%) 2.9 ± 0.2

4.3 ± 0.3 (48%)*

#5

4.2 ± 0.5 (45%)*

#2.5

3.designing CC-based teachings 1.9 ± 0.4 2.8 ± 0.2 (47%) 3.0 ± 0.4 (57%) 2.1 ± 0.2

4.2 ± 0.5 (100%)**

#7

4.4 ± 0.6 (109%)**

#3.5

4.designing CC-based assessments 2.2 ± .0.8 2.5 ± 0.3 (14%) 2.5 ± 0.7 (14%) 2.3 ± 0.5

3.9 ± 0.3 (70%)*

#4.67

4.1 ± 0.4 (78%)*

#2.29

5.leading CC-based teachings 1.9 ± 0.6 2.2 ± 0.3 (16%) 2.7 ± 0.2 (42%) 2.1 ± 0.3

3.5 ± 0.6 (67%)*

#4.33

3.9 ± 0.2 (86%)*

#6

6.leading CC-based assessments 2.1 ± 0.3 2.3 ± 0.4 (10%) 2.2 ± 0.5 (5%) 1.9 ± 0.8

3.8 ± 0.9 (100%)**

#3.75

3.9 ± 0.3 (105%)**

#3.4

Data were expressed as mean ± SD; agreement to questions are rated by 5-point Likert scale; 5 = very agree;3 = neutral; 1 = very not agree; mini-CEX mini-clinical evaluation exercise; OSCE objective structural clinical examination; *, p < 0.05 vs. corresponding data of regular FD group that analyzed using student t tests; Comparison among data of multiple time points were analyzed with ANOVA test; # t-test’s effect size for compared data between groups that with significance on t test