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Published on: May 16, 2025
Electronically monitored adherence to medications by newly diagnosed patients with juvenile rheumatoid arthritis
Michael A Rapoff1, John M Belmont, Carol B Lindsley
1University of Kansas Medical Center, Kansas City, KS 66160-7330, USA. mrapoff@kumc.edu
Insights
Children with juvenile rheumatoid arthritis (JRA) adhere better to nonsteroidal anti-inflammatory drugs (NSAIDs) when they have more active joints or higher socioeconomic status. Lower socioeconomic status families need targeted adherence support.
Area of Science:
- Pediatric Rheumatology
- Pharmacology
- Health Services Research
Background:
- Juvenile rheumatoid arthritis (JRA) is a chronic condition requiring long-term medication adherence.
- Nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly prescribed for JRA symptom management.
- Understanding adherence patterns is crucial for optimizing treatment outcomes in pediatric populations.
Purpose of the Study:
- To characterize adherence rates to NSAIDs in newly diagnosed JRA patients.
- To identify demographic and disease-related factors predicting NSAID adherence.
- To inform targeted interventions for improving medication adherence in JRA.
Main Methods:
- Prospective monitoring of NSAID adherence in 48 children with JRA over 28 days using electronic devices.
- Assessment of disease activity including active joint counts and morning stiffness.
- Collection of demographic data: age, sex, ethnicity, and socioeconomic status.
Main Results:
- 52% of patients met an 80% adherence threshold; 48% were nonadherent.
- Significant predictors of adherence included higher active joint counts and higher socioeconomic status.
- A logistic regression model achieved 70.5% correct classification of adherent/nonadherent patients.
Conclusions:
- Adherence to NSAIDs in JRA appears to be symptom-driven, with more active joints correlating with better adherence.
- Higher socioeconomic status is associated with improved adherence, highlighting potential disparities.
- Families with lower socioeconomic status may require additional support to ensure medication adherence.
Objective:
To describe patterns of adherence to nonsteroidal antiinflammatory drugs (NSAIDs) in newly diagnosed patients with juvenile rheumatoid arthritis (JRA), and to examine demographic and disease-related variables as potential predictors of adherence.
Methods:
Adherence to NSAIDs was monitored in 48 children with JRA (mean age 8.6 years) over 28 consecutive days using an electronic monitoring device. Measures of disease activity (active joint counts, morning stiffness) and demographics (age, sex, ethnicity, socioeconomic status) were also obtained.
Results:
Using an 80% adherence cut point, 25 (52%) patients were classified as adherent and 23 (48%) as nonadherent. There was considerable variability across patients, with full adherence (taking all doses on time) ranging from 0 to 100% of the monitored days. Logistic regression showed that active joint count and socioeconomic status were the only significant predictors. Both were positively related to adherence. The model correctly classified 70.5% of patients as either adherent or nonadherent (Cox and Snell R(2) = 0.295, P = 0.0005).
Conclusion:
Children newly diagnosed with JRA are more likely to adhere to an NSAID regimen if they have a greater number of active joints or their families have higher socioeconomic status. The former finding suggests that children's adherence is symptom-driven, while the latter suggests that families of lower socioeconomic status deserve special attention to address adherence issues.
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