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. 2020 Dec 30;73(1):100–109. doi: 10.1002/acr.24480

Table 5.

Probabilities for fitting each of the identified profiles per rheumatic disease and treating hospital (n = 894)*

Profile 1 2 3 4 5 6 7 8 9 10
No. (%) 115 (13) 32 (4) 262 (29) 110 (12) 133 (15) 103 (12) 25 (3) 62 (7) 30 (3) 23 (3)
Rheumatic disease
RA 0.11 0.05 0.31 0.15 0.16 0.11 0.01 0.05 0.03 0.03
SpA 0.16 0.03 0.26 0.10 0.15 0.11 0.04 0.08 0.05 0.03
Gout 0.11 0.03 0.31 0.12 0.13 0.14 0.04 0.08 0.02 0.02
Treating hospital
Maastricht 0.11 0.03 0.30 0.15 0.14 0.08 0.04 0.07 0.04 0.05
Rotterdam 0.14 0.03 0.28 0.10 0.16 0.13 0.02 0.09 0.03 0.01
Enschede 0.14 0.04 0.30 0.12 0.14 0.14 0.02 0.05 0.02 0.02
*

Estimates of marginal probabilities (between 0 and 1) of persons with a specific disease or under care in a specific hospital belonging to one of the health literacy profiles are derived from a fully adjusted multinomial model (see Supplementary Table 4, available on the Arthritis Care & Research website at http://onlin​elibr​ary.wiley.com/doi/10.1002/acr.24480/​abstract). One respondent was excluded from this analysis, as the Pearlin Mastery Scale was not available in Arabic. RA = rheumatoid arthritis; SpA = spondyloarthritis.