Table 3.

Local and global weights of needs (CR<0.1), median of the Local and global weights for the clinical and technical groups and t-test between the two groups.

	Group results GW (LW)	Median Technical GW (LW)	Median Clinical GW (LW)	GW t-test (LW t-test)
1 Performance
1.1 Motor symptoms assessment	0.064 (0.292)	0.064 (0.304)	0.032 (0.231)	0.522 (0.486)
1.2 ON/OFF fluctuations detection	0.085 (0.388)	0.099 (0.392)	0.078 (0.288)	0.269 (0.24)
1.3 Cognitive & behavioral assessment	0.042 (0.197)	0.030 (0.127)	0.041 (0.305)	0.844 (0.032)
1.4 Data mining & disease modelling	0.028 (0.129)	0.027 (0.090)	0.024 (0.120)	0.448 (0.664)
2. User experience
2.1 ↑wearability acceptance	0.102 (0.457)	0.077 (0.388)	0.068 (0.461)	0.782 (0.494)
2.2 User-friendly interfaces	0.068 (0.305)	0.077 (0.281)	0.047 (0.310)	0.849 (0.408)
2.3 Seamlessly integration	0.053 (0.237)	0.038 (0.322)	0.026 (0.169)	0.099 (0.107)
3 Clinical practice
3.1↑patient-clinician bond	0.054 (0.181)	0.041 (0.203)	0.048 (0.139)	0.695 (0.736)
3.2 ↑patient & carers knowledge	0.080 (0.270)	0.054 (0.25)	0.063 (0.245)	0.761 (0.593)
3.3 ↑self-management support	0.093 (0.314)	0.058 (0.290)	0.089 (0.284)	0.880 (0.849)
3.4 assist care givers	0.070 (0.235)	0.051 (0.201)	0.062 (0.259)	0.482 (0.814)
4 Economic
4.1 ↓visits and stays in hospital	0.022 (0.175)	0.015 (0.169)	0.027 (0.162)	0.313 (0.588)
4.2 ↑patient Quality of Life	0.063 (0.511)	0.051 (0.468)	0.035 (0.376)	0.826 (0.197)
4.3 Faster and more reliable diagnosis	0.039 (0.313)	0.029 (0.299)	0.050 (0.323)	0.189 (0.428)
5 Technical issues
5.1 Scalability and interoperability	0.040 (0.293)	0.039 (0.310)	0.026 (0.281)	0.472 (0.615)
5.2 Security and privacy	0.059 (0.430)	0.041 (0.464)	0.029 (0.396)	0.563 (0.600)
5.3 ↓maintenance and support cost	0.038 (0.277)	0.024 (0.177)	0.049 (0.367)	0.092 (0.341)