01.12.2015 | Research article | Ausgabe 1/2015 Open Access

Determinants of adherence to disease modifying anti-rheumatic drugs in White British and South Asian patients with rheumatoid arthritis: a cross sectional study
- Zeitschrift:
- BMC Musculoskeletal Disorders > Ausgabe 1/2015
Competing interests
Authors’ contributions
Background
Methods
Statistical analysis
Results
Patient characteristics
White
|
South Asian
|
P value
|
|
---|---|---|---|
Number
|
91
|
89
|
|
Age, years; mean (SD)
|
57.74 (12.74)
|
52.46(12.94)
|
0.006
a
|
Female
|
56 (61)
|
69 (77)
|
0.024
b
|
Level of education
|
0.538
c
|
||
Primary
|
0 (0)
|
11 (12)
|
|
Secondary
|
49 (54)
|
33 (38)
|
|
College
|
21 (23)
|
26 (30)
|
|
University
|
21 (23)
|
18 (20)
|
|
Number of years of education
|
14 (11–16)
|
15 (11–17)
|
0.439
c
|
Employment
|
0.001
b
|
||
Full time
|
33 (36)
|
31 (35)
|
|
Part time
|
3 (3)
|
8 (9)
|
|
Unemployment
|
3 (3)
|
1 (1)
|
|
Never employed
|
0 (0)
|
1 (1)
|
|
Not working due to RA
|
12 (13)
|
15 (17)
|
|
Not working for other reason
|
19 (21)
|
7 (8)
|
|
Home maker**
|
4 (4)
|
18 (20)
|
|
Retired
|
17 (19)
|
8 (9)
|
|
Preferred language spoken by patient
|
<0.001
b
|
||
English
|
91 (100)
|
51 (57)
|
|
Punjabi
|
0 (0)
|
29 (33)
|
|
Urdu
|
0 (0)
|
6 (7)
|
|
Hindi
|
0 (0)
|
3 (3)
|
|
Language spoken with GP
|
<0.001
b
|
||
English
|
91 (100)
|
68 (76)
|
|
Punjabi
|
0 (0)
|
16 (18)
|
|
Urdu
|
0 (0)
|
3 (3)
|
|
Hindi
|
0 (0)
|
2 (2)
|
|
Patient Literacy***
|
<0.001
b
|
||
Yes
|
90 (99)
|
71 (80)
|
|
No
|
1 (1)
|
18 (20)
|
|
Number of years in UK, mean (SD)
|
NA
|
31.76 (11.6)
|
|
DAS CRP, mean (SD)
|
4.02 (0.83)*
|
3.76 (0.81)*
|
0.034
a
|
Disease duration (years)
|
5 (2–11)
|
7 (3–13)
|
0.173
c
|
Oral/biologic DMARDs
|
|||
Methotrexate
|
77 (84.6)
|
81 (91.0)
|
0.256
b
|
Sulphasalazine
|
38 (41.8)
|
42 (47.2)
|
0.549
b
|
Hydroxychloroquine
|
10 (11.0)
|
11 (12.4)
|
0.820
b
|
Anti-TNF
|
45 (49.5)
|
35 (39.3)
|
0.181
b
|
Other
|
8 (8.8)
|
7 (7.9)
|
1.000
b
|
Disease related variables
Beliefs about medicines and ethnicity
Questionnaires
|
|||
---|---|---|---|
BMQ
|
|||
Specific Necessity
|
4.00 (3.80–4.20)
|
4.00 (4.00–4.00)
|
0.833
c
|
Specific Concern
|
3.50 (2.83–4.00)
|
4.00 (3.83–4.00)
|
<0.001
c
|
NCD
|
0.33 (0.00–1.10)
|
0.00 (0.00–0.17)
|
<0.001
c
|
General Overuse
|
2.67 (2.00–3.33)
|
3.33 (3.00–4.00)
|
<0.001
c
|
General Harm
|
2.40 (2.00–3.00)
|
3.60 (3.00–4.00)
|
<0.001
c
|
SIMS
|
|||
SIMS action and usage
|
9 (7–9)
|
8 (6–9)
|
0.006
c
|
SIMS potential problems
|
6 (5–8)
|
6 (4–8)
|
0.060
c
|
HAQ
|
1.25 (1–1.38)
|
1.25 (1–3)
|
0.927
c
|
IPQ
|
|||
Identity
|
6 (5–8)
|
6 (5–7)
|
0.851
c
|
Timeline
|
24 (23–27)
|
24 (22–25)
|
<0.001
c
|
Consequences
|
22 (18–24)
|
22 (19–24)
|
0.794
c
|
Personal control
|
20 (17–23)
|
19 (17–23)
|
0.626
c
|
Treatment control
|
16 (14–18)
|
16 (15–18)
|
0.914
c
|
Illness coherence
|
18 (14–20)
|
15 (11–20)
|
0.041
c
|
Timeline cyclical
|
15 (14–16)
|
16 (14–16)
|
0.017
c
|
Emotional representation
|
22 (18–24)
|
24 (22–24)
|
0.004
c
|
Illness perception and ethnicity
Correlations between SIMS, BMQ and IPQ domains within each ethnic group
White British
|
P value
|
South Asian
|
P value
|
|
---|---|---|---|---|
Action and usage
|
||||
Necessity
|
0.135
|
0.201
|
0.019
|
0.863
|
Concern
|
−0.103
|
0.330
|
−0.049
|
0.650
|
NCD
|
0.167
|
0.113
|
0.009
|
0.930
|
Overuse
|
−0.232
|
0.027
|
−0.389
|
<0.001
|
Harm
|
0.154
|
0.146
|
−0.427
|
<0.001
|
Potential Problems
|
||||
Necessity
|
0.203
|
0.054
|
−0.064
|
0.551
|
Concern
|
−0.226
|
0.031
|
0.061
|
0.567
|
NCD
|
0.333
|
<0.001
|
0.072
|
0.500
|
Overuse
|
−0.230
|
0.028
|
−0.269
|
0.011
|
Harm
|
−0.185
|
0.078
|
−0.305
|
0.004
|
White British
|
P value
|
South Asian
|
P value
|
|
---|---|---|---|---|
Action and usage
|
||||
Personal control
|
−0.015
|
0.887
|
0.540
|
<0.001
|
Treatment control
|
0.005
|
0.966
|
0.259
|
0.014
|
Illness coherence
|
0.091
|
0.389
|
0.469
|
<0.001
|
Potential Problems
|
||||
Personal control
|
0.083
|
0.431
|
0.446
|
<0.001
|
Treatment control
|
0.136
|
0.197
|
0.270
|
<0.001
|
Illness coherence
|
0.201
|
0.056
|
0.413
|
<0.001
|
Identity
|
−0.210
|
0.046
|
−0.074
|
0.493
|
Timeline cyclical
|
−0.289
|
0.005
|
0.037
|
0.732
|
Medication adherence and ethnicity: univariable analysis
Categorical variables
|
Median MARS score (interquartile range)
|
P value
|
---|---|---|
Gender
|
0.982*
|
|
M
|
28 (25–30)
|
|
F
|
28 (24–30)
|
|
Level of education
|
0.083**
|
|
Primary
|
26 (24–27)
|
|
Secondary
|
27 (24–30)
|
|
College
|
28 (25–30)
|
|
University
|
28 (26–30)
|
|
Employment
|
0.219**
|
|
Full time
|
28 (25–30)
|
|
Part time
|
28 (22–30)
|
|
Unemployment
|
30 (28–30)
|
|
Never employed
|
23 (NA)
|
|
Not working due to RA
|
26 (23–30)
|
|
Not working for other reason
|
26 (22–30)
|
|
Home maker
|
26 (24–29)
|
|
Retired
|
29 (26–30)
|
|
English spoken by patient
|
<0.001*
|
|
Yes
|
28 (26–30)
|
|
No
|
24 (22–28)
|
|
Same language spoken by patient and GP
|
0.002*
|
|
Yes
|
28 (25–30)
|
|
No
|
24 (22–27)
|
|
Patient Literacy level
|
0.053*
|
|
Yes
|
28 (24–30)
|
|
No
|
24 (24–28)
|
|
Ethnicity
|
0.013*
|
|
White British
|
28 (26–30)
|
|
South Asian
|
26 (23–30)
|
|
Oral /Biologic DMARDs
|
||
Methotrexate
|
0.202*
|
|
Currently on
|
28 (24–30)
|
|
Not on
|
26 (25–28)
|
|
Sulphasalazine
|
0.058*
|
|
Currently on
|
26 (23–30)
|
|
Not on
|
28 (25–30)
|
|
Hydroxychloroquine
|
0.621*
|
|
Currently on
|
28 (22–30)
|
|
Not on
|
28 (24–30)
|
|
Anti-TNF
|
0.199*
|
|
Currently on
|
28 (24–30)
|
|
Not on
|
27 (24–30)
|
|
Patients’ country of birth
|
0.014**
|
|
UK
|
28
a (25–30)
|
|
India
|
26
a (22–29)
|
|
Pakistan
|
28 (27–30)
|
|
Continuous variables (Spearman correlation)
|
||
Age
|
0.093
|
0.212
|
Number of years of education
|
0.183
a
|
0.014
|
Number of years in UK
|
−0.177
|
0.165
|
Disease duration
|
0.058
|
0.438
|
DAS CRP
|
0.032
|
0.674
|
IMD
|
−0.075
|
0.315
|
Medication adherence and other variables: univariable analysis
Questionnaires
|
||
---|---|---|
BMQ
|
||
Specific Necessity
|
0.052
|
0.489
|
Specific Concern
|
−0.114
|
0.127
|
NCD
|
0.209**
|
0.005
|
General Overuse
|
−0.309**
|
<0.001
|
General Harm
|
−0.300**
|
<0.001
|
SIMS
|
||
SIMS action and usage
|
0.386**
|
<0.001
|
SIMS potential problems
|
0.469**
|
<0.001
|
HAQ
|
−0.055
|
0.465
|
IPQ
|
||
IPQ Identity
|
−0.126
|
0.092
|
IPQ Timeline
|
0.071
|
0.343
|
IPQ Consequences
|
−0.052
|
0.492
|
IPQ Personal control
|
0.187*
|
0.012
|
IPQ Treatment control
|
0.085
|
0.258
|
IPQ Illness coherence
|
0.294**
|
<0.001
|
IPQ Timeline cyclical
|
−0.138
|
0.065
|
IPQ Emotional representation
|
−0.097
|
0.197
|
Multivariable analysis
B
|
Confidence interval
|
P value
|
R
2 for model
|
|
---|---|---|---|---|
0.328
|
||||
Age (years)
|
−0.012
|
−0.049–(0.025)
|
0.523
|
|
Gender (male)
|
−0.754
|
−1.754–(0.245)
|
0.138
|
|
Number of years education
|
−0.022
|
−0.095–(0.050)
|
0.540
|
|
English spoken by patient
|
−0.492
|
−2.384–(1.399)
|
0.608
|
|
Same language spoken by patient and GP
|
1.447
|
−0.466–(3.360)
|
0.137
|
|
Born in Pakistan
a
|
2.071
|
−0.023–(4.165)
|
0.053
|
|
Born in India
a
|
1.575
|
−0.158–(3.307)
|
0.075
|
|
Ethnicity (White British)
|
7.333
|
2.924–(11.743)
|
0.001*
|
|
BMQ
|
||||
NCD
|
0.079
|
−0.590–(0.749)
|
0.815
|
|
General Overuse
|
−0.193
|
−0.478–(0.092)
|
0.183
|
|
General Harm
|
−0.049
|
−0.250–(0.153)
|
0.635
|
|
SIMS
|
||||
SIMS action and usage (South Asian patients)
|
0.560
|
0.163–(0.958)
|
0.006*
|
|
SIMS action and usage (White British patients)
|
−0.202
|
−0.595–(0.191)
|
0.311
|
|
SIMS potential problems
|
0.428
|
0.217–(0.639)
|
<0.001**
|
|
IPQ
|
||||
IPQ Personal control
|
−0.070
|
−0.205–(0.066)
|
0.310
|
|
IPQ Illness coherence
|
0.086
|
−0.038–(0.211)
|
0.174
|
|
Interaction
|
||||
SIMS action and usage x ethnicity
b
|
0.005*
|