Table 2.
Means of in-degree centrality and out-degree centrality for each type of profession from a workforce
| Profession | Mean of in-degree centrality (S.D.) | Mean of out-degree centrality (S.D.) | Steps with highest in-degreea (IDb; No. in-degreec) | No. of reports |
|---|---|---|---|---|
| Physicians | 17.3 (12.5) | 1.71 (2.4) | Prescribing (2002; 35) | 0 |
| Pharmacists | 35.0 (14.9) | 15.4 (11.1) | Transcribing (2012; 20) Pre-dispensing (2012; 10) Dispensing (2012, 18) Pre-administration (2012, 6) |
132 |
| Pharmacist assistants | 10.8 (6.4) | 10.8 (13.8) | – | 0 |
| Nurses | 7.0 (4.7) | 11.7 (9.3) | Pre-transcribing(2021, 4) Pre-administration (2022, 6; 2023, 6) Administration(2021,5; 2028, 5; 2029, 5) |
0 |
| Health workers | 4.0 (2.0) | 2.7 (0.6) | – | 0 |
| Whole network | 10.4 (10.4) | 10.4 (9.7) | – | 132 |
aSteps in the medication system where each profession demonstrated the highest in-degree centrality; bID is anonymous code given to each person in the study cohort; cRepresent the highest in-degree in each step; in-degree centrality = a measure of the number of consultation the informant were asked for from other staff directed to an informant; out-degree centrality = the number of links that an informant sought consultation with other network members