Table 6.
Results of the random-effects logit regression model: family carer sample (n = 33)
| Attribute | Β-coefficient | 95% CI | P value | MRS (mins) | 95% CI | ||
|---|---|---|---|---|---|---|---|
| Format of service |
|
|
|
|
|
|
|
| _One to one |
0.9880* |
0.8046 |
1.5908 |
0.0000 |
273.73 |
160.60 |
610.12 |
| Service provider_hospital |
0.0086 |
-0.2310 |
0.2460 |
|
|
|
|
| _Community health team |
0.0148 |
-0.2434 |
0.3099 |
0.8990 |
|
|
|
| _Voluntary organisation |
-0.0233 |
-0.3019 |
0.2115 |
0.8350 |
|
|
|
| Journey time (minutes) |
-0.0036* |
-0.0071 |
-0.0019 |
0.0010 |
|
|
|
| Additional social and leisure |
|
|
|
|
|
|
|
| _Provided |
0.2767 |
-0.0051 |
0.7050 |
0.0570 |
|
|
|
| Constant | -0.1865 | -0.6162 | 0.1313 | 0.2420 | |||
No. observations = 285; No. individuals = 33; Wald chi2 (5) = 49.72; Log likelihood = -163.68.
*Statistically significant at P < 0.05.
95% confidence intervals generated using non-parametric bootstrapping.
Marginal rate of substitution values = β-coefficient for significant attribute/β-coefficient for journey time.