Who stop telemonitoring disease activity and who adhere: a prospective cohort study of patients with inflammatory arthritis

Table 4 Associations with time to dropout of reporting ePRO’s

Variable	Hazard ratio	95% CI		p
Women	1.58	1.06	2.36	0.02
Higher education	1.36	0.92	2.02	0.13
Biological usage^a	1.18	0.83	1.68	0.35
High medication adherence	1.14	0.80	1.63	0.47
Diagnosis (relative to RA)
PsA	1.14	0.77	1.69	0.53
AS	1.09	0.63	1.90	0.76
Smartphone usage	1.08	0.94	1.23	0.29
Charlson Comorbidity index	1.05	0.78	1.40	0.76
Resident in Amsterdam	1.02	0.72	1.44	0.93
Disease duration	1.01	0.99	1.02	0.49
patient-physician Interaction	1.00	0.92	1.09	1.00
Self-management	1.00	0.98	1.02	0.72
Age	0.99	0.96	1.02	0.39
RAPID3	0.97	0.89	1.06	0.51

Multivariable Cox-regression analysis where the hazard ratios are corrected for all factors in the model. N = 217 due to three patients missing baseline values for four factors. Sorted from highest to lowest hazard ratio
The bold values are statistically significant (p < 0.05)
RA rheumatoid arthritis, PsA psoriatic arthritis, AS ankylosing spondylitis, RAPID3 routine assessment of patient index data 3 at baseline
^aCompared to conventional Disease Modifying Antirheumatic Drugs

ISSN: 2520-1026