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Abstract Number: 2254

Disability (HAQ) and Quality of Life (SF-12) As Related to Adherence and Health Literacyin Patients with Rheumatoid Arthritis – the Trace-Study

Jens Gert Kuipers1, Michael Koller2, Florian Zeman2, Karolina Mueller2 and Jens Ulrich Rueffer3, 1Department of Rheumatology, Red Cross Hospital Bremen, Bremen, Germany, 2University Hospital Regensburg, Center for Clinical Studies, Regensburg, Germany, 3German Fatigue Society, Cologne, Germany

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Compliance, Fatigue, patient outcomes, quality of life and rheumatoid arthritis (RA)

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Session Information

Date: Tuesday, November 7, 2017

Title: Patient Outcomes, Preferences, and Attitudes Poster III

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: Disabilities in daily living and quality of life are key endpoints to evaluate the outcome of treatment for rheumatoid arthritis (RA). Among factors that may contribute to good outcome are adherence and health literacy.

Methods: The survey included a representative, nationwide sample of German physicians specialized in RA and patients with RA. The physician questionnaire included the disease activity score (DAS28) and medical prescriptions. The patient questionnaire included fatigue (EORTC QLQ-FA13), health assessment questionnaire (HAQ), quality of life (SF-12), health education literacy (HELP), and patients’ listings of their medications.

Adherence was operationalized in various ways: patient-reported (CQR5), behavioral (correspondence between physicians and patients listings of medications), physician-assessed (five-point rating scale ranging from 1=very adherent to 5=not at all adherent) and a combined measure of physician rating (1= very adherent, 0 = less adherent) and the match between physicians’ prescriptions and patients’ accounts of their medications (1 = perfect match, 0 = no perfect match), leading to three categories of adherence: high, medium and low. Linear regressions were calculated using HAQ and SF-12 (physical and psychological) as dependent variables and adherence, health literacy and the set of demographic and clinical variables as predictor variables.

Results: A total of 708 pairs of patient and physician questionnaires were analyzed. The mean age of the patients, of whom 73% were women, was 60 years (SD=12). All results are shown in the multiple regression analyses.

Conclusion: This study showed that HAQ and SF-12 were related to adherence and health literacy. This finding highlights the importance of patient education and counseling in order to increase both, medical understanding and adherence to therapy.

Table 1: Patient characteristics

Sociodemographics

Prescribed medications

Age

60 (SD 12)

Total number of prescribed medications

4.9 (SD .27)

Sex, male

193 (27%)

MTX

411 (58%)

Relationship status, married

512 (72%)

DMARD, without MTX and Biologica

169 (24%)

Children, yes

449 (63%)

Biologica

301 (43%)

Education, matriculation standard

203 (29%)

Glucocorticoide

416 (59%)

Occupation, employed

286 (40%)

Insurance, compulsory health insurance

644 (91%)

Table 2: Multiple linear regression models

HAQ*

SF-12 Physical

SF-12 Psychological

MLR model*

Predictor

B (95%-CI)

p-value

R²

B (95%-CI)

p-value

R²

B (95%-CI)

p-value

R²

Model 1

All 4 rheumatism agents taken as prescribed

4.41 (.45, 8.38)

.029

20%

2.39 (.51, 4.28)

.013

16%

.34 (-1.67, 2.35)

.741

15%

Adherence by doctor (ref. medium or less adherence)

adherent

1.79 (-3.89, 7.45)

.534

3.14 (.43, 5.86)

.023

.74 (-2.15, 3.64)

.615

Very adherent

3.01 (-2.56, 8.58)

.289

3.28 (.61, 5.95)

.016

3.10 (.254, 5.95)

.033

Health education literacy*

.330 (.229, .431)

<.001

.141 (.093, .189)

<.001

.220 (.169, .272)

<.001

Model 2

All 4 rheumatism agents taken as prescribed

3.22 (-.87, 7.32)

.123

20%

2.00 (.04, 3.96)

.046

15%

-.11 (-2.20, 1.98)

.919

15%

Adherence composite score (ref. low adherence)

medium adherence

2.22 (-1.16, 6.06)

.256

.67 (-1.17, 2.51)

.476

.12 (-1.84, 2.08)

.905

high adherence

5.06 (.62, 9.50)

.026

1.48 (-.65, 3.61)

.172

2.74 (.47, 5.01)

.018

Health education literacy*

.323 (.222, .423)

<.001

.141 (.093, .190)

<.001

.223 (.171, .274)

<.001

All models are adjusted for sex, age, drinking alcohol (y/n), smoking status (y/n) and sport activities (y/n);
B, regression coefficient; 95%-CI, 95%- confidence interval; *linearly transformed on a scale from 0 (negative/low) to 100 (positive/high)


Disclosure: J. G. Kuipers, None; M. Koller, None; F. Zeman, None; K. Mueller, None; J. U. Rueffer, None.

To cite this abstract in AMA style:

Kuipers JG, Koller M, Zeman F, Mueller K, Rueffer JU. Disability (HAQ) and Quality of Life (SF-12) As Related to Adherence and Health Literacyin Patients with Rheumatoid Arthritis – the Trace-Study [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/disability-haq-and-quality-of-life-sf-12-as-related-to-adherence-and-health-literacyin-patients-with-rheumatoid-arthritis-the-trace-study/. Accessed .
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