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Table 5 Results from conditional logistic regression model: disabled child study sample (n = 11) and parent study sample (n = 30)

From: Prioritising wheelchair services for children: a pilot discrete choice experiment to understand how child wheelchair users and their parents prioritise different attributes of wheelchair services

Attribute

Disabled child sample (n = 11)

Parent sample (n = 30)

β-coefficient

95 % bootstrapped CIa

P value

MRS valuesb (cost)

95 % bootstrapped CIa

β-coefficient

95 % bootstrapped CIa

P value

MRS valuesb,c (cost)

95 % bootstrapped CIa

Comprehensiveness of wheelchair assessment

1.4247*

1.4153 to 2.0824

0.009

£153.19

£133.20 to £182.53

1.5329*

1.4507 to 2.1633

<0.0001

£547.46

£353.38 to £1435.45

Cost contribution for wheelchair

−0.0093*

−0.0138 to −0.0089

0.019

–

–

−0.0028

−0.0060 to 0.0005

0.092

–

–

Level of training provided by service

0.0306

−0.1955 to 0.2858

0.924

–

–

−0.1557

−0.4002 to 0.0311

0.371

–

–

Waiting time for delivery of wheelchair

−0.9221*

−1.4086 to −0.8442

0.041

£99.15

£81.93 to £121.32

−1.3699*

−1.9859 to −1.3104

0.000

£489.25

£313.29 to £1326.78

Frequency of wheelchair reviews

0.0364

−0.0022 to 0.0749

0.519

–

–

−0.0390

−0.0813 to 0.0032

<0.0001

–

–

Number of observations = 88

    

Number of observations = 240

   

Number of individuals = 11

    

Number of individuals = 30

   

Log likelihood function = −26.64

    

Log likelihood function = −64.51

   

Log likelihood ratio (5) = 33.85

    

Log likelihood ratio (5) = 114.86

   
  1. *Significant attribute [P < 0.05]
  2. a95 % confidence intervals generated using non-parametric bootstrapping (5000 replications)
  3. bMarginal rate of substitution values = β-coefficient for attribute/β-coefficient for cost attribute
  4. cThough the cost contribution attribute was not significant to parents (P = 0.092 [>0.05]), everything being equal, parents preferred lower cost contribution; the parents’ MRS values were calculated using the cost contribution attribute as the denominator to show how parents trade-off the cost contribution attribute against the other attributes. This allowed comparison with the disabled child sample MRS values