Adherence to treatment and associated factors in rheumatoid arthritis patients: a cross-sectional study from Iran

The aim of this study is to evaluate adherence to treatment and its related risk factors among a sample of rheumatoid arthritis patients (RA) attending the rheumatology outpatient clinic of Kermanshah university of medical sciences. In this cross-sectional study, RA patients were asked to complete the Morisky questionnaire and 19-item compliance questionnaire for rheumatology (CQR). Patients were divided into two groups: adherent and non-adherent to treatment, based on the CQR questionnaire results. Demographic and clinical characteristics (age, sex, marital status, education level, economical condition, occupational status, place of residence, underlying diseases, type, and number of drugs) were compared between the two groups to investigate possible risk associations for poor adherence. 257 patients completed the questionnaires (mean age: 43.22, 80.2% female). 78.6% were married, 54.9% were housekeepers, 37.7% had tertiary education, 61.9% had moderate economic status, and 73.2% were residents of an urban area with a large population. Prednisolone was the most commonly used drug followed by non-steroidal anti-inflammatory drugs, sulfasalazine, hydroxychloroquine, and methotrexate. The mean score of the Morisky questionnaire was 5.528 (standard deviation=1.79). 105 patients (40.9%) were adherent to treatment based on the CQR questionnaire. High education level (college or university) was correlated with non-adherence to treatment [27 (25.71%) vs 70 (46.05%), p=0.004]. We concluded that the prevalence of non-adherence to treatment is 59.1% in rheumatoid arthritis patients in Kermanshah, Iran. Having a higher education level is a risk factor for poor treatment adherence. Other variables could not predict treatment adherence.

Stress at Home and Female Gender Are Significantly Associated With Non-adherence and Poor Illness Perception Among Patients With Rheumatoid Arthritis

Aims

We aimed to assess the level of non-adherence and poor illness perception among rheumatoid arthritis (RA) patients. Additionally, we examined their associations with clinical indicators and outcomes.

Methods

This was a cross-sectional study conducted using data collected at the time of patient enrolment in the Pakistan Registry of Rheumatic Diseases (PRIME) registry. A wide range of clinical variables was studied. To measure adherence, we used the Urdu version of the General Medication Adherence Scale (GMAS), which has recently been validated in RA patients. A Brief Illness Perception Questionnaire (BIPQ) was used to measure illness perception.

Results

The data of consecutive 320 RA patients were reviewed. Thirty-six percent of the cohort (n=116) was noted to have non-adherence. On multiple logistic regression analysis, a significant association of non-adherence was noted with moderate-to-severe stress (odds ratio {OR}: 1.85, confidence interval {CI}: 1.04-3.2), DAS-28 scores (OR: 1.83, CI: 1.52-2.21), Health Assessment Questionnaire (HAQ) scores (OR: 1.77, CI: 1.07-2.92), and deformed joint counts (OR: 1.30, CI: 1.15-1.46). Additionally, non-adherence due to "patient behavior" had a significant association with the male gender (OR: 0.48, CI: 0.26-0.87), unemployment (OR: 1.82, CI: 1.07-3.10), and stress at home (OR: 2.17, CI: 1.35-3.49). Twenty-six percent of the cohort (n=86) was noted to have the most negative illness perception, and on multiple logistic regression analysis, it was significantly associated with male gender (OR: 0.24, CI: 0.11-0.53), age of onset of arthritis (OR: 0.96, CI: 0.94-0.99), and worse HAQ scores (OR: 3.7, CI: 2.2-6.1).

Conclusions

Important adverse factors contributing to non-adherence and negative illness perception highlighted in this study were stress at home, female gender, and younger age of patients.

Contribution of Personality Traits, Psychological Factors, and Health-Related Quality of Life to Medication Adherence in Patients with Rheumatoid Arthritis

PURPOSE

This study sought to investigate the associations between personality traits and medication adherence and to identify predictors of good medication adherence in rheumatoid arthritis (RA) patients.

MATERIALS AND METHODS

A total of 207 RA patients using disease-modifying anti-rheumatic drugs were invited for an interview and questionnaire study. Medication adherence was measured using the Compliance Questionnaire for Rheumatology (CQR). Personality traits were analyzed with the five-factor model of the Korean version of the Big Five Inventory 10. Psychological factors were assessed with the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and British Columbia Cognitive Inventory. Health-related Quality of Life (HRQoL) and functional disability were evaluated with the EuroQoL-5 dimension questionnaire and Health Assessment Questionnaire. Multivariate logistic regression analyses were performed to investigate predictors of good medication adherence.

RESULTS

Nonadherence to medication was reported by 66.7%. The number of daily prescribed pills was higher in the medication adherence group than in the nonadherence group. Concomitant oral glucocorticoid doses were associated with medication adherence. A high level of conscientiousness and diabetes mellitus comorbidity were associated with better medication adherence [odds ratio (OR), 2.11; 95% confidence interval (CI), 1.01-4.38 and OR, 3.00; 95% CI, 1.12-8.07, respectively]. There were no significant differences in psychological factors or HRQoL between medication adherence and nonadherence groups.

CONCLUSION

The personality trait of conscientiousness was associated with medication adherence among the five personality traits evaluated. Patients with diabetes mellitus also showed higher medication adherence than those without this comorbidity.

Causal relationship between years of education and the occurrence of rheumatoid arthritis

OBJECTIVE

To search out whether or not years of education is causally related to rheumatoid arthritis (RA).

METHOD

We conducted a two-sample Mendelian randomisation (MR) analysis employing inverse-variance weighted (IVW), weighted median and MR-Egger regression analysis. We chose statistic data of years of education from the UK Biobank genome-wide association studies (GWASs) (n=293 723) as the exposure and a meta-analysis of GWASs of RA with autoantibody (n=5539) and European controls (n=20 169) as the outcome.

RESULTS

We selected a total of 49 single nucleotide polymorphisms as instrumental variables (IVs). The IVW method instructed an inverse causative relationship between years of education and RA (β=- 0.039, SE=0.283, p=0.008). MR-Egger regression test showed that directional pleiotropy seems not to bias the MR results (intercept=0.028; p=0.358). MR-Egger analysis demonstrated no causative relationship between RA and years of education (β=- 2.320, SE=1.709, p=0.181). However, the weighted median approach indicated a causative association between RA and years of education (β=-0.950, SE=0.355, p=0.008).

CONCLUSIONS

The MR analysis supported a potential inverse causative relationship between years of education and development of RA.

Evaluation of treatment adherence in patients with Behçet's disease: its relation to disease manifestations, patients' beliefs about medications, and quality of life

INTRODUCTION/OBJECTIVES

Despite its importance, adherence to treatment has not been sufficiently studied in Behçet's disease (BD). The aim of this study was to evaluate medication adherence in BD using the Compliance Questionnaire of Rheumatology (CQR) and factors potentially affecting it.

METHOD

This cross-sectional study included 67 consecutive BD patients including 57 (85%) males with a mean age of 35.1 ± 9.27 years and mean disease duration of 129 ± 91 months. The cumulative clinical manifestations, the Behçet's Disease Current Activity Form (BDCAF) score, and the Vasculitis Damage Index (VDI) were recorded. The CQR, Socioeconomic Status Questionnaire for Health Research in Egypt (SES), the Beliefs about Medication Questionnaire (BMQ), and the Short Form 36 (SF-36) quality of life assessment questionnaire were administered to the patients. Linear regression analysis was done to determine independent predictors of CQR.

RESULTS

The mean BDCAF score was 3.27 ± 3.54 and the VDI was 3.36 ± 2.21. The mean CQR score was 69.2 ± 11.79. The CQR score varied significantly among different health sources (p = 0.02), with no relationship detected with other sociodemographic characteristics, nor with clinical characteristics or the SF-36. Among the investigated medications' complexities, severity of side effects showed significantly different CQR scores (p = 0.004), and a weak positive correlation between medications' numbers and the CQR was detected. Predictors for higher CQR scores included the necessity beliefs score of the BMQ (β = 1.1, p < 0.001); whereas, predictors for lower CQR scores were the harm and concern BMQ subscales ((β = - 1.5, p = 0.004) and (β = - 0.72, p = 0.032), respectively).

CONCLUSIONS

Beliefs about medications were the only predictor for adherence in our cohort.