Table 1 Variables included the six Bayesian penalised regression models.
Variable | Variable levels | Variables included in models | |||||
|---|---|---|---|---|---|---|---|
Unmet healthcare needs | GP use | Allied health use | Rehabilitation /SCI specialist use | Medical specialist use | Hospitalisations | ||
Age | Continuous | Y | Y | Y | Y | Y | Y |
Gender | Male, female | Y | Y | Y | Y | Y | Y |
Geography | Capital city, rural area, remote area | Y | Y | Y | Y | Y | Y |
Education | Primary/lower secondary, higher secondary, Certificate, Diploma, Bachelor, Masters/PhD | Y | Y | Y | Y | Y | Y |
Marital status | single, married, divorced/widowed | Y | Y | Y | Y | Y | Y |
Weekly household income | <$455; $456–$686; $687–$909; $910–$1,203; ≥ $1204 | Y | Y | Y | Y | Y | Y |
Daily professional household assistance | No, yes | Y | Y | Y | Y | Y | Y |
Receiving disability pension | No, yes | Y | Y | Y | Y | Y | Y |
Level & completeness | Incomplete paraplegia, complete paraplegia, incomplete tetraplegia, complete tetraplegia | Y | Y | Y | Y | Y | Y |
Injury aetiology | Non-traumatic, traumatic | Y | Y | Y | Y | Y | Y |
Time since injury | Continuous | Y | Y | Y | Y | Y | Y |
No. severe secondary conditions | Continuous | Y | Y | Y | Y | Y | Y |
modified-SCIM-SR | Continuous | Y | Y | Y | Y | Y | Y |
Unmet healthcare needs | No, yes | – | Y | Y | Y | Y | Y |
Provider experience…. |  |  |  |  |  |  |  |
 Being treated respectfully | Very good, good, neither, bad | Y | – | – | – | – | – |
 Clarity of explanations from health providers | Very good, good, neither, bad | Y | – | – | – | – | – |
 Being involved in treatment decisions | Very good, good, neither, bad | Y | – | – | – | – | – |
