Table 6.
Models | ||||
---|---|---|---|---|
(1) | (2) | (3) | (4) | |
(Intercept) | 44.361 (5.706)*** | −7.571 (23.684) | 14.724 (23.185) | −4.762 (21.197) |
Beds | −0.003 (0.002) | −0.000 (0.002) | −0.002 (0.002) | −0.002 (0.002) |
Day case theatres | −0.117 (0.263) | −0.371 (0.264) | −0.172 (0.262) | −0.231 (0.236) |
Nurse-to-bed ratio | 5.490 (1.567)*** | 2.175 (1.701) | 2.259 (1.648) | 1.916 (1.525) |
Neurology | 0.168 (0.108) | 0.015 (0.110) | 0.067 (0.109) | 0.036 (0.097) |
Neurophysiology | 0.311 (0.650) | 0.340 (0.649) | 0.392 (0.638) | 0.291 (0.579) |
Neurosurgery | −0.087 (0.147) | 0.001 (0.145) | −0.019 (0.143) | −0.026 (0.128) |
Teaching | 1.849 (1.549) | 1.580 (1.533) | 1.555 (1.504) | 1.164 (1.331) |
Foundation trust | 2.487 (1.226)** | 3.332 (1.209)*** | 1.445 (1.223) | 1.884 (1.117)* |
ASU | 1.524 (1.937) | 1.576 (1.875) | −0.370 (1.830) | |
RSU | 1.066 (1.761) | 0.388 (1.739) | 0.625 (1.676) | |
CSU | 3.795 (2.181)* | 2.172 (2.145) | 0.129 (2.100) | |
SUTC | 2.461 (1.011)** | 2.639 (0.977)*** | 2.748 (0.935)*** | |
Specialist | 5.172 (1.136)*** | 3.935 (1.132)*** | 1.899 (1.150) | |
ESD | 1.876 (1.314) | 1.842 (1.275) | 0.925 (1.233) | |
NeuroClinic | 3.149 (2.128) | 4.709 (2.071)** | 3.437 (1.996)* | |
PatientViews | −1.408 (1.904) | −2.614 (1.897) | −2.639 (1.817) | |
Report | 0.909 (1.174) | 1.088 (1.139) | 1.115 (1.092) | |
Stroke admissions | −0.000 (0.000) | −0.000 (0.000) | −0.000 (0.000) | |
Stroke mortality | 0.141 (0.129) | 0.200 (0.124) | 0.230 (0.116)** | |
No qualifications | 0.086 (0.332) | −0.355 (0.336) | −0.177 (0.302) | |
Median wage | 0.084 (0.024)*** | 0.036 (0.025) | 0.057 (0.023)** | |
Neurosurgeons per region | 0.019 (0.026) | 0.047 (0.026)* | 0.021 (0.023) | |
Year dummy | 6.574 (1.250)*** | 4.831 (1.178)*** | ||
Organisation score | 0.331 (0.050)*** | |||
AIC | 2222.923 | 2231.788 | 2205.433 | 2199.928 |
BIC | 2295.973 | 2322.657 | 2299.844 | 2265.798 |
Num. obs. | 303 | 303 | 303 | 303 |
*** , ** , * , . Table 6 shows linear mixed effects results corresponding to the four tree models. The dependent variable is the quality score and explanatory variables are lagged 1 year. Column 1 includes hospital characteristics, human capital factors, teaching and foundation trust status, and primary variables reflecting the quality of the organisation of the process of stroke care. Column 2 adds a set of external variables and column 3 adds the year dummy. Column 4 substitutes the composite organisational measure for the primary organisation features of the process of stroke care