Candace H Feldman1, Jamie Collins2, Zhi Zhang3, S V Subramanian4, Daniel H Solomon3, Ichiro Kawachi4, Karen H Costenbader3. 1. Division of Rheumatology, Immunology and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA; Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA. Electronic address: cfeldman@bwh.harvard.edu. 2. Department of Orthopedic Surgery, The Orthopaedic and Arthritis Center for Outcomes Research (OrACORe), Brigham and Women's Hospital, Boston, MA. 3. Division of Rheumatology, Immunology and Allergy, Department of Medicine, Brigham and Women's Hospital, Boston, MA. 4. Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.
Abstract
BACKGROUND: Hydroxychloroquine (HCQ) is the standard of care medication for most SLE patients, however nonadherence is common. We investigated longitudinal patterns and predictors of nonadherence to HCQ in a U.S. SLE cohort of HCQ initiators. METHODS: We used Medicaid data from 28 states to identify adults 18-65 years with prevalent SLE. We included HCQ initiators following ≥6 months without use, and required ≥1 year of follow-up after first dispensing (index date). We used the proportion of days covered (PDC) to describe overall HCQ adherence (<80% = nonadherent) and novel group-based trajectory models (GBTM) to examine monthly patterns (<80% of days/month covered = nonadherent), during the first year of use. Multivariable multinomial logistic regression models were used to examine predictors of nonadherence. RESULTS: We identified 10,406 HCQ initiators with SLE. Mean age was 38 (±12) years, 94% were female, 42% black, 31% white; 85% had a mean PDC < 80%. In our 4-group GBTM, 17% were persistent adherers, 36% persistent nonadherers, and 47% formed two dynamic patterns of partial adherence. Adherence declined for most patients over the first year. Compared to persistent adherers, the odds of nonadherence were increased for blacks and Hispanics vs. whites and for younger ages vs. older; increased SLE-related comorbidities were associated with reduced odds of nonadherence for persistent nonadherers (0.95, 95% CI: 0.91-0.99). CONCLUSIONS: Among HCQ initiators with SLE, we observed poor adherence which declined for most over the first year of use. HCQ adherence is a dynamic behavior and further studies of associated predictors, outcomes, and interventions should reflect this.
BACKGROUND:Hydroxychloroquine (HCQ) is the standard of care medication for most SLEpatients, however nonadherence is common. We investigated longitudinal patterns and predictors of nonadherence to HCQ in a U.S. SLE cohort of HCQ initiators. METHODS: We used Medicaid data from 28 states to identify adults 18-65 years with prevalent SLE. We included HCQ initiators following ≥6 months without use, and required ≥1 year of follow-up after first dispensing (index date). We used the proportion of days covered (PDC) to describe overall HCQ adherence (<80% = nonadherent) and novel group-based trajectory models (GBTM) to examine monthly patterns (<80% of days/month covered = nonadherent), during the first year of use. Multivariable multinomial logistic regression models were used to examine predictors of nonadherence. RESULTS: We identified 10,406 HCQ initiators with SLE. Mean age was 38 (±12) years, 94% were female, 42% black, 31% white; 85% had a mean PDC < 80%. In our 4-group GBTM, 17% were persistent adherers, 36% persistent nonadherers, and 47% formed two dynamic patterns of partial adherence. Adherence declined for most patients over the first year. Compared to persistent adherers, the odds of nonadherence were increased for blacks and Hispanics vs. whites and for younger ages vs. older; increased SLE-related comorbidities were associated with reduced odds of nonadherence for persistent nonadherers (0.95, 95% CI: 0.91-0.99). CONCLUSIONS: Among HCQ initiators with SLE, we observed poor adherence which declined for most over the first year of use. HCQ adherence is a dynamic behavior and further studies of associated predictors, outcomes, and interventions should reflect this.
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