The influence of medication beliefs and other psychosocial factors on early discontinuation of disease‐modifying anti‐rheumatic drugs

Wong, Mei Yin; Mulherin, D.

doi:10.1002/msc.107

Cited by 38 publications

(37 citation statements)

References 29 publications

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“…10,31,32 However, many studies found that sociodemographic characteristics did not significantly influence medication adherence. 18,[32][33][34] Our findings showed that on-time refill rates of medication and disease activity using DAS-28 version 3 were associated with higher MMAS-8 scores and thus further validated the results of the MMAS-8 adherence questionnaire.…”

Section: Discussionsupporting

confidence: 75%

Assessment of Rheumatoid Arthritis Patients’ Adherence to Treatment

Gadallah

Boulos

Dewedar

et al. 2015

The American Journal of the Medical Sciences

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Background: Reports on adherence among patients with rheumatoid arthritis (RA) in Egypt and the Middle East region are lacking. This study aimed to measure adherence to treatment among a sample of patients with RA at Ain Shams University Rheumatology outpatient clinic and to assess factors affecting it. Methods: A crosssectional descriptive study was carried out at the rheumatology outpatient clinic on a sample of 140 patients with RA. An interview questionnaire was used to measure adherence using the 8-item Morisky's scale, factors affecting adherence to treatment like patients satisfaction were assessed using the short form patient satisfaction questionnaire, also patients' knowledge, beliefs and rate of prescription refilling were assessed. Disease Activity Score-28 was used as an objective method to assess RA disease activity. Results: According to Morisky's scale, 90.6% and 9.4% were classified as low and moderately adherent, respectively, none was classified as highly adherent to treatment. Important barriers to adherence reported were fear of side effects, nonavailability of free drugs in hospital pharmacy and cost of medications. Younger patients (P 5 0.002) and those reporting greater general satisfaction (P 5 0.02) were more likely to be adherent. In addition, on-time refill rates of medication (P 5 0.001) and disease activity (P 5 0.02) were associated with higher adherence scores and thus further validated the results of the adherence questionnaire. Conclusions: Higher adherence was associated with more positive beliefs on medication, greater satisfaction with health care and less disease activity.

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Section: Discussionsupporting

confidence: 75%

Assessment of Rheumatoid Arthritis Patients’ Adherence to Treatment

Gadallah

Boulos

Dewedar

et al. 2015

The American Journal of the Medical Sciences

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“…7 Several studies have reported that higher levels of selfefficacy and social support are associated with improved medication adherence, 17 although there are conflicting data. 18 Other factors may be associated with adherence including age, income, level of education, knowledge of disease and satisfaction with information about medicines. 19 20 Several authors have suggested that patients' beliefs about medicines play an important role in medication adherence in chronic diseases.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

A mixed methods protocol to investigate medication adherence in patients with rheumatoid arthritis of White British and South Asian origin

et al. 2013

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BackgroundLow adherence to medicines is an important issue as up to 40% of patients with chronic diseases do not take their medications as prescribed. This leads to suboptimal clinical benefit. In the context of rheumatoid arthritis, there is a dearth of data on adherence to disease-modifying antirheumatic drugs among minority ethnic groups. This study aims to assess the relationship between adherence to medicines and biopsychosocial variables in patients with rheumatoid arthritis of South Asian and White British origin.Methods/analysisA mixed methods approach will be used, encompassing a cross-sectional survey of 176 patients collecting demographic and clinical data, including information on adherence behaviour collected using a series of questionnaires. This will be followed by indepth qualitative interviews.Ethics and disseminationThis study has been approved by the South Birmingham (10/H1207/89) and Coventry and Warwickshire (12/WM/0041) Research Ethics Committees. The authors will disseminate the findings in peer-reviewed publications.

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“…Older age was found to be associated with higher rates of medication adherence in patients with RA [Park et al, 1999; Viller et al, 1999] and Garcia-Gonzalez and colleagues [2007] suggested that Hispanic and African American patients with RA have significantly reduced medication adherence when compared to Caucasians. Other investigators have found that demographic factors such as age did not significantly influence medication adherence [Owen et al, 1985; Treharne et al, 2004; Wong and Mulherin, 2007]. Other demographic variables like marital status have been found to have equivocal effects on medication adherence [Owen et al, 1985; Treharne et al, 2004; Wong and Mulherin, 2007].…”

Section: Introductionmentioning

confidence: 99%

Predictors of medication adherence in patients with rheumatoid arthritis

Salt

Frazier

2011

Drug Development Research

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Medication adherence is a significant problem in patients with rheumatoid arthritis (RA), a prevalent autoimmune disease. Due to the equivocal results reported in the research, consistent predictors of medication adherence in patients with RA are undetermined. A cross-sectional descriptive, predictive study of 108 patients with RA was used to: 1) describe self-reported medication adherence to disease modifying anti-rheumatic drugs (DMARDs); 2) compare demographic (age, residence, marital status, employment status, years of education, and ethnicity) and clinical (duration of disease and number of medications) factors of adherent and non-adherent individuals; and 3) determine the predictive power of demographic and clinical factors for DMARD adherence using various cut-points (research-based, mean, and median) on a validated, self-report scale measuring medication adherence. Independent samples t-tests, Chi square analyses, and logistic regression modeling were used to analyze these data. Approximately 90% of the individuals with RA reported adherence with their prescribed DMARD prescriptions. The only demographic and clinical difference between the adherent and non-adherent group was ethnicity (p=0.04); nonwhite individuals reported significantly less adherence with their prescribed DMARDs when compared to white individuals. Logistic regression models identified ethnicity (OR= 3.34-10.1; p< 0.05) and the number of medications taken (OR=1.7; p< 0.05) as predictors of medication non-adherence. These data provide evidence that ethnicity and taking an increased number of prescribed medications are independent predictors of medication adherence in patients with RA. These findings confirm the presence of a health disparity and an area where further research is needed to optimize patient outcomes.

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The influence of medication beliefs and other psychosocial factors on early discontinuation of disease‐modifying anti‐rheumatic drugs

Cited by 38 publications

References 29 publications

Assessment of Rheumatoid Arthritis Patients’ Adherence to Treatment

Assessment of Rheumatoid Arthritis Patients’ Adherence to Treatment

A mixed methods protocol to investigate medication adherence in patients with rheumatoid arthritis of White British and South Asian origin

Predictors of medication adherence in patients with rheumatoid arthritis

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