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Abstract Number: 2441

Prevalence and Determinants of Treatment Adherence Among Patients with Rheumatoid Arthritis

Maria Celeste Orozco1, Maria Florencia Marengo2, Christian A. Waimann2, Ana Inés Marcos3, Amelia Granel3, Sofia Velez4, Federico Zazzetti5, Juan C. Barreira6, Paula Kohan7, Oscar L. Rillo8, María Victoria Collado9, Graciela Gómez10, Ricardo V. Juárez11, Veronica Lencina12, Andrea D'Orazio13, Gustavo Rodriguez Gil13, Mariana Salcedo14 and Gustavo Citera15, 1Rheumatology, Instituto de Rehabilitación Psicofísica, Buenos Aires, Argentina, 2Rheumatology section, Instituto de Rehabilitación Psicofísica, Buenos Aires, Argentina, 3Rheumatology, Hospital San Roque de Gonnet, La Plata, La Plata, Argentina, 4Rheumatology, Hospital Britanico, Buenos Aires, Argentina, 5Hospital Britanico, Buenos Aires, Argentina, 6Rheumatology, British Hospital, Buenos Aires, Argentina, 7rheumatology, Hospital Gral. de agudos Dr. E. Tornú, Buenos Aires, Argentina, 8Rheumatology Unit, Hospital General de Agudos Dr. E. Tornú, Buenos Aires, Argentina, 9Instituto de Investigaciones Medicas Alfredo Lanari, Buenos Aires, Argentina, 10Diaz Colodrero 2537 8° A, Insituto de Investigaciones Medicas de la UBA, Capital Federal, Argentina, 11Rheumatology Section, Hospital Señor del Milagro, Salta, Argentina, 12Rheumatology section, Hospital Señor del Milagro, Salta, Argentina, 13rheumatology, Hospital Municipal de agudos Dr. Leonidas Lucero, Bahía Blanca, Argentina, 14Consultorio Privado, San Nicolás, Argentina, 15Instituto de Rehabilitación Psicofísica, Buenos Aires, Argentina

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: patient preferences, rheumatoid arthritis (RA) and treatment

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Session Information

Title: Rheumatoid Arthritis - Clinical Aspects (ARHP): Clinical Practice/Patient Care

Session Type: Abstract Submissions (ARHP)

Background/Purpose : Treatment adherence is a crucial part of successfully managing rheumatic diseases such as Rheumatoid Arthritis (RA). Low adherence to treatment has been related to poor radiographic and clinical outcomes in these patients. The aim of our study was to determine the prevalence and factors associated with non-adherence in patients with RA.

Methods : We designed a multicenter cross sectional study. Consecutive patients with RA (ACR’87 and or ACR/EULAR 2010) were recruited from 7 rheumatology clinics. Data collected included comorbidities, demographic and clinical variables. Patient-reported clinical outcomes included the Clinical Disease Activity Index (CDAI) and the Health Assessment Questionnaire (HAQ).   Adherence to treatment was assessed using the Compliance Questionnaire Rheumatology (CQR; 0 – 100, 0 low adherence). Patients were categorized as having low or acceptable adherence using the traditional cutoff (≤80). Frequencies and distribution of adherence were calculated. The association between adherence and clinical/demographic variables were assessed using univariate and multivariate models.

Results :  Three hundred and thirty-eight patients were included, 84 % were female, mean age was 53 ± 12 years, disease duration 13 ± 10 years, CDAI 13 ± 11 and HAQ 1.00 ± 0.75. Mean adherence to the treatment regimen as determined by CQR score was 86 ± 10. Two hundred and sixty-two patients (81%) had acceptable level of adherence. These patients had significantly higher age (p=0.03), higher level of education (p=<0.01), were more frequently unemployment (p=0.03), and had longer disease duration (p=<0.01). After adjusting for multiple confounders, only longer disease duration (OR= 1.1, CI95%=1.01-1.08, p =0.04) and live alone (OR= 0.3, CI95%=0.1-0.6, p = <0.01) remained significantly associated with acceptable adherence (Table 1).

Conclusion : In our population, only one fifth of patients with RA showed low self-reported adherence to treatment. These patients had shorter disease duration and more frequently live alone. Physicians must be aware of patients at high risk of low treatment adherence in order to avoid long-term consequences.

Table 1

Logistic regression using level of adherence as dependent variable (CQR ≥80 =1; CQR <80 =0)

OR

95% Confidence interval

p- value

Age (years)

1.02

0.99 – 1.05

0.10

Female

0.90

0.39 – 2.09

0.81

Disease duration (years)

1.04

1.00 – 1.08

0.04

Years of education

1.02

0.95 – 1.11

0.54

Number of comorbidities

1.2

0.81 – 1.89

0.33

Live alone

0.26

0.11 – 0.61

0.002

CDAI

1.00

0.97 – 1.04

0.79

HAQ

1.27

0.74 – 2.21

0.38


Disclosure:

M. C. Orozco,
None;

M. F. Marengo,
None;

C. A. Waimann,
None;

A. I. Marcos,
None;

A. Granel,
None;

S. Velez,
None;

F. Zazzetti,
None;

J. C. Barreira,
None;

P. Kohan,
None;

O. L. Rillo,
None;

M. V. Collado,
None;

G. Gómez,
None;

R. V. Juárez,
None;

V. Lencina,
None;

A. D’Orazio,
None;

G. Rodriguez Gil,
None;

M. Salcedo,
None;

G. Citera,
None.

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