Inconsistent treatment with disease-modifying antirheumatic drugs: a longitudinal data analysis

Rate and causes of noncompliance with disease-modifying antirheumatic drug regimens in patients with rheumatoid arthritis

INTRODUCTION/OBJECTIVES

To determine the prevalence and factors associated with medication noncompliance by Thai patients with rheumatoid arthritis (RA).

METHODS

This prospective cohort study enrolled 443 adult RA patients (≥ 18 years) who were followed up at the outpatient rheumatology clinics of Siriraj Hospital and Phramongkutklao Hospital between May 2018 and December 2019. Medication noncompliance was assessed using the Compliance Questionnaire for Rheumatology-19 (CQR-19). A score of 0 indicated complete noncompliance, whereas a score of 100 indicated a perfect compliance. An unsatisfactory compliance was arbitrarily defined as a taking compliance of ≤ 80%.

RESULTS

The prevalence of medication noncompliance was 22.1%. The most common cause was forgetting to take medications due to a busy work schedule. In a univariate analysis, the factors that were significantly related to medication noncompliance were age, income, number of comorbidities, functional status as measured by the Health Assessment Questionnaire (HAQ), number of prescribed pills per day, and number of types of prescribed medications per day. In a subsequent backward stepwise multiple logistic regression analysis, only 2 factors were found to be negatively associated with medication noncompliance: age (risk ratio, 0.98; 95% CI, 0.96-0.99; p, 0.048) and HAQ (risk ratio, 0.62; 95% CI, 0.39-0.98; p, 0.041).

CONCLUSIONS

Medication noncompliance is common in patients with RA. As this may lead to unfavorable outcomes, patient education related to drug compliance should be addressed and emphasized in daily practice. Key Points • Medication noncompliance is common in patients with RA. • Forgetting to take pills was the most frequent explanation offered for noncompliance. • All patients should be strongly encouraged to comply with the recommended drug regimens.

Predictors of patient decision to discontinue anti-rheumatic medication in patients with rheumatoid arthritis: results from the Ontario best practices research initiative

Despite the availability of treatment guidelines and effective treatments, real-world effectiveness remains suboptimal partly due to poor patient medication adherence. We evaluated a comprehensive set of sociodemographic, health insurance, and disease-related factors for association with patient decision to discontinue anti-rheumatic medications (ARMs) in a large observational RA cohort in Ontario, Canada. Patients from the Ontario Best Practices Research Initiative registry were included. The following predictors of ARM discontinuation were evaluated with cox-regression: patient age, gender, education, income, smoking, health insurance type/coverage, RA duration, erosion presence, RF positivity, DAS28-ESR, physician global, HAQ-DI, comorbidity number, ARM types, and physician characteristics (gender, academic position, urban vs. rural, distance from patient's residence). Patients (1762) were included with a mean (SD) age of 57.4 years (13.0). Approximately 80% were female, 29% had early (≤ 1 year) RA, and 70% were RF-positive. Mean (SD) baseline DAS28-ESR and HAQ-DI were 4.5 (1.5) and 1.2 (0.76), respectively. In multivariate analysis, married status (HR [95%CI] 0.73 [0.56-0.96]), RF positivity (0.73 [0.56-0.96]), and higher comorbidity number (0.92 [0.85-0.99]) were significant predictors of ARMs continuation while higher physician global (1.10 [1.04-1.15]), NSAID use (1.75 [1.29-2.38]), and number of ARMs (1.23 [1.07-1.40]) were associated with ARMs discontinuation. In a subset analysis assessing conventional or biologic DMARD discontinuation, higher HAQ-DI and biologic use over time were associated with lower hazard for discontinuation. Several sociodemographic, disease, and treatment parameters were identified as independent predictors of patient discontinuation of ARMs. These results should be considered when developing patient adherence support programs and in the choice of treatment regimens.

A systematic review of the barriers affecting medication adherence in patients with rheumatic diseases

Medication adherence is a crucial part in the management of rheumatic diseases, especially with many such patients requiring long-term medications. In this paper, we aim to systematically review the literature for the factors associated with medication adherence in the rheumatic patient population. We carried out a systematic literature search using PubMed^®, PsychInfo^® and Embase ^® with relevant keywords and employed the PRISMA^® criteria. We included English peer-reviewed articles that studied the factors affecting medication adherence in patients with rheumatic diseases, which were assessed by two independent reviewers. Hand searches were conducted and relevant factors were extracted and classified using the World Health Organization (WHO)'s five dimensions of medication adherence. A simple diagram was drawn to summarise the factors extracted. 1977 articles were identified and reviewed and 90 articles were found to be relevant. A total of 17 factors and 38 sub-factors were identified and categorized based on the WHO's five dimensions of medication adherence. A hand model for medication adherence was developed to succinctly summarise these dimension to remind clinicians the importance of medication adherence in daily practice. We conducted a systematic review on the various factors including patient, therapy, condition, health system and socioeconomic-related factors that affected medication adherence in rheumatic patients. We found 17 factors and 38 sub-factors that affected medication adherence in this population. This systematic review can facilitate future focused research in unexplored dimensions.

Challenges of developing a cardiovascular risk calculator for patients with rheumatoid arthritis

OBJECTIVE

Cardiovascular disease (CVD) risk calculators designed for use in the general population do not accurately predict the risk of CVD among patients with rheumatoid arthritis (RA), who are at increased risk of CVD. The process of developing risk prediction models involves numerous issues. Our goal was to develop a CVD risk calculator for patients with RA.

METHODS

Thirteen cohorts of patients with RA originating from 10 different countries (UK, Norway, Netherlands, USA, Sweden, Greece, South Africa, Spain, Canada and Mexico) were combined. CVD risk factors and RA characteristics at baseline, in addition to information on CVD outcomes were collected. Cox models were used to develop a CVD risk calculator, considering traditional CVD risk factors and RA characteristics. Model performance was assessed using measures of discrimination and calibration with 10-fold cross-validation.

RESULTS

A total of 5638 RA patients without prior CVD were included (mean age: 55 [SD: 14] years, 76% female). During a mean follow-up of 5.8 years (30139 person years), 389 patients developed a CVD event. Event rates varied between cohorts, necessitating inclusion of high and low risk strata in the models. The multivariable analyses revealed 2 risk prediction models including either a disease activity score including a 28 joint count and erythrocyte sedimentation rate (DAS28ESR) or a health assessment questionnaire (HAQ) along with age, sex, presence of hypertension, current smoking and ratio of total cholesterol to high-density lipoprotein cholesterol. Unfortunately, performance of these models was similar to general population CVD risk calculators.

CONCLUSION

Efforts to develop a specific CVD risk calculator for patients with RA yielded 2 potential models including RA disease characteristics, but neither demonstrated improved performance compared to risk calculators designed for use in the general population. Challenges encountered and lessons learned are discussed in detail.

Does non-adherence to DMARDs influence hospital-related healthcare costs for early arthritis in the first year of treatment?

Introduction

Non-adherence to disease-modifying antirheumatic drugs (DMARDs) is suspected to relate to health care costs. In this study we investigated this relation in the first year of treatment.

Methods

In a multi-center cohort study with a one year follow up, non-adherence was continuously measured using electronic monitored medication jars. Non-adherence was defined as the number of days with a negative difference between expected and observed opening of the container. Cost measurement focused on hospital costs in the first year: consultations, emergency room visits, hospitalization, medical procedures, imaging modalities, medication costs, and laboratory tests. Cost volumes were registered from patient medical files. We applied multivariate regression analyses for the association between non-adherence and costs, and other variables (age, sex, center, baseline disease activity, diagnosis, socioeconomic status, anxiety and depression) and costs.

Results

Of the 275 invited patients, 206 were willing to participate. 74.2% had rheumatoid arthritis, 20.9% had psoriatic arthritis and 4.9% undifferentiated arthritis. 23.7% of the patients were more than 20% non-adherent over the follow-up period. Mean costs are € 2117.25 (SD € 3020.32). Non-adherence was positively related to costs in addition to baseline anxiety.

Conclusion

Non-adherence is associated with health care costs in the first year of treatment for arthritis. This suggests that improving adherence is not only associated with better outcome, but also with savings.

Medication adherence in patients with rheumatoid arthritis: why do patients not take what we prescribe?

Rheumatoid arthritis (RA) is an autoimmune inflammatory disease which results in extensive articular and extra-articular morbidity and increased mortality from cardiovascular disease. Despite an increasing range of non-biological and biological disease-modifying agents, poor patient adherence with medication is a significant barrier to effective control of the inflammation associated with RA. This review seeks to identify factors that affect patient adherence with medication, examine the effectiveness of interventions to address this issue and offer practical suggestions to improve medication adherence. The impact of health literacy on medication adherence and the novel role of musculoskeletal ultrasound as an educational intervention will also be discussed.

Patient Preferences Regarding Rheumatoid Arthritis Therapies: A Conjoint Analysis

BACKGROUND

Tofacitinib, an oral Janus kinase inhibitor approved for the treatment of rheumatoid arthritis (RA), provides patients with an alternative to subcutaneously or intravenously administered biologic disease-modifying antirheumatic drugs (DMARDs). Little is known about patient preference for novel RA treatments.

OBJECTIVE

To investigate patient preferences for attributes associated with RA treatments.

METHODS

A choice-based conjoint survey was mailed to 1400 randomly selected commercially insured patients (aged 21-80 years) diagnosed with RA, who were continuously enrolled from May 1, 2012, through April 30, 2013, and had ≥2 medical claims for International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code 714.0 and no previous biologic DMARD use. Treatment attributes included route of administration; monthly out-of-pocket cost; frequency of administration; ability to reduce daily joint pain and swelling; likelihood of serious adverse events; improvement in the ability to perform daily tasks; and medication burden. Mean attribute importance scores were calculated after adjusting for patient demographics (eg, age, sex, years since diagnosis) using a hierarchical Bayes model. Patient preferences for each treatment attribute were ranked by the importance score. Part-worth utilities (ie, preference scores) were used to perform a conjoint market simulation.

RESULTS

A total of 380 patients (response rate, 27.1%) returned the survey. Their mean age (± standard deviation) was 54.9 (± 9.3) years. Nonrespondents were 2 years younger (mean, 52.9 years; P = .002) but did not differ significantly from respondents in known clinical characteristics. After adjustment for demographic characteristics, mean patients' ranking of treatment attribute importance, in decreasing order, was route of administration, 34.1 (± 15.5); frequency of administration, 16.4 (± 6.8); serious adverse events, 12.0 (± 9.3); cost, 10.1 (± 6.2); medication burden, 9.8 (± 8.2); joint pain reduction, 8.9 (± 3.8); and daily tasks improvement, 8.8 (± 4.7). For the route of administration attribute, the part-worth utility was highest for the oral route. Conjoint simulation results showed that 56.4% of respondents would prefer an oral route of administration.

CONCLUSION

Based on this survey completed by 380 patients with RA, commercially insured patients with RA consider the route of administration to be the most important attribute of their RA treatment. In this study, the majority (56.4%) of patients preferred the oral route of administration over other routes. Understanding patient preferences may help to inform provider and payer decisions in treatment selection that may enhance patient adherence to therapy.