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Table 4 Feasibility of using MBC

From: Barriers and facilitators to implementing measurement-based care for depression in Shanghai, China: a situational analysis

Survey Question Response Location Age Gender  
SMHC: n (%) HKMC: n (%) FXMC: n (%) 18–39 years 40–59 years F M Total: n (%)
MBC would be easy to integrate into my daily workflow. Strongly disagree 1 (1.3) 0 0 1 (1.7) 0 0 1 (2.8) 1 (0.9)
Disagree 6 (7.7) 0 0 2 (3.4) 4 (6.9) 3 (3.8) 3 (8.3) 6 (5.2)
Somewhat disagree 10 (12.8) 2 (8.7) 1 (6.7) 8 (13.8) 5 (8.6) 9 (11.3) 4 (11.1) 13 (11.2)
Somewhat agree 24 (30.8) 15 (65.2) 2 (13.3) 20 (34.5) 21 (36.2) 29 (36.3) 12 (33.3) 41 (35.3)
Agree 36 (46.2) 6 (26.1) 11 (73.3) 26 (44.8) 27 (46.6) 39 (48.8) 14 (38.9) 53 (45.7)
Strongly agree 1 (1.3) 0 1 (6.7) 1 (1.7) 1 (1.7) 0 2 (5.6) 2 (1.7)
Total 78 (100) 23 (100) 15 (100) 58 (100) 58 (100) 80 (100) 36 (100) 116 (100)
I would use MBC if my hospital provided training and resources. Strongly disagree 0 0 0 0 0 0 0 0
Disagree 1 (1.3) 0 0 0 1 (1.7) 1 (1.3) 0 1 (0.9)
Somewhat disagree 2 (2.6) 1 (4.3) 0 2 (3.4) 1 (1.7) 2 (2.5) 1 (2.8) 3 (2.6)
Somewhat agree 17 (21.8) 5 (21.7) 1 (6.7) 9 (15.5) 14 (24.1) 15 (18.8) 8 (22.2) 23 (19.8)
Agree 45 (57.7) 12 (52.2) 9 (60.0) 37 (63.8) 29 (50.0) 46 (57.5) 20 (55.6) 66 (56.9)
Strongly agree 13 (16.7) 5 (21.7) 5 (33.3) 10 (17.2) 13 (22.4) 16 (20.0) 7 (19.4) 23 (19.8)
Total 78 (100) 23 (100) 15 (100) 58 (100) 58 (100) 80 (100) 36 (100) 116 (100)
I would use data collected from MBC to evaluate my own practices. Strongly disagree 0 0 0 0 0 0 0 0
Disagree 0 0 0 0 0 0 0 0
Somewhat disagree 4 (5.1) 0 0 2 (3.4) 2 (3.4) 3 (3.8) 1 (2.8) 4 (3.4)
Somewhat agree 21 (26.9) 6 (26.1) 2 (13.3) 11 (19.0) 18 (31.0) 18 (22.5) 11 (30.6) 29 (25.0)
Agree 44 (56.4) 14 (60.9) 11 (73.3) 40 (69.0) 29 (50.0) 50 (62.5) 19 (52.8) 69 (59.5)
Strongly agree 9 (11.5) 3 (13.0) 2 (13.3) 5 (8.6) 9 (15.5) 9 (11.3) 5 (13.9) 14 (12.1)
Total 78 (100) 23 (100) 15 (100) 58 (100) 58 (100) 80 (100) 36 (100) 116 (100)
My patients would be willing to complete MBC at each visit. Strongly disagree 0 0 0 0 0 0 0 0
Disagree 4 (5.1) 1 (4.3) 0 1 (1.7) 4 (6.9) 4 (5.0) 1 (2.8) 5 (4.3)
Somewhat disagree 13 (16.7) 5 (21.7) 1 (6.7) 10 (17.2) 9 (15.5) 19 (16.4) 5 (13.9) 19 (16.4)
Somewhat agree 35 (44.9) 15 (65.2) 4 (26.7) 28 (48.3) 26 (44.8) 54 (46.6) 17 (47.2) 54 (46.6)
Agree 25 (32.1) 2 (8.7) 10 (66.7) 19 (32.8) 18 (31.0) 37 (31.9) 12 (33.3) 37 (31.9)
Strongly agree 1 (1.3) 0 0 0 1 (1.7) 1 (0.9) 1 (2.8) 1 (0.9)
Total 78 (100) 23 (100) 15 (100) 58 (100) 58 (100) 116 (100 36 (100) 116 (100)
If MBC was automated and available electronically with easy to interpret results, I would be more likely to use MBC. Strongly disagree 0 0 0 0 0 0 0 0
Disagree 0 0 0 0 0 0 0 0
Somewhat disagree 4 (5.1) 0 0 1 (1.7) 3 (5.2) 3 (3.8) 1 (2.8) 4 (3.4)
Somewhat agree 9 (11.5) 3 (13.0) 1 (6.7) 5 (8.6) 8 (13.8) 6 (7.5) 7 (19.4) 13 (11.2)
Agree 39 (50.0) 11 (47.8) 9 (60.0) 32 (55.2) 27 (46.6) 40 (50.0) 19 (52.8) 59 (50.9)
Strongly agree 26 (33.3) 9 (39.1) 5 (33.3) 20 (34.5) 20 (34.5) 31 (38.8) 9 (25.0) 40 (34.5)
Total 78 (100) 23 (100) 15 (100) 58 (100) 58 (100) 80 (100) 36 (100) 116 (100)
I don’t know how to fit MBC into my current workflow because I am too busy. Strongly disagree 2 (2.6) 1 (4.3) 1 (6.7) 2 (3.4) 2 (3.4) 4 (5.0) 0 4 (3.4)
Disagree 11 (11.4) 5 (21.7) 2 (13.3) 9 (15.5) 9 (15.5) 9 (11.3) 9 (25.0) 18 (15.5)
Somewhat disagree 18 (23.1) 2 (8.7) 3 (20.0) 7 (12.1) 16 (27.6) 18 (22.5) 5 (13.9) 23 (19.8)
Somewhat agree 23 (29.5) 9 (39.1) 4 (26.7) 21 (36.2) 15 (25.9) 25 (31.3) 11 (30.6) 36 (31.0)
Agree 14 (17.9) 4 (17.4) 5 (33.3) 13 (22.4) 10 (17.2) 17 (21.3) 6 (16.7) 23 (19.8)
Strongly agree 10 (12.8) 2 (8.7) 0 6 (10.3) 6 (10.3) 7 (8.8) 5 (13.9) 12 (10.3)
Total 78 (100) 23 (100) 15 (100) 58 (100) 58 (100) 80 (100) 36 (100) 116 (100)