Effect of motor, non-motor clinical features including sleep quality, and prescription pattern on adherence to antiparkinsonian medications in Parkinson’s disease
Subhash Samanta, Niraj Kumar, M. Kanimozhi, Manisha Bisht, Ravi Gupta
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Abstract
Adherence to antiparkinsonian medications (APMs) may significantly influence Parkinson’s disease (PD) outcome. The present study assesses the role of motor and non-motor features, and prescription patterns on adherence.
This observational and cross-sectional study included 50 PD patients taking APMs for ≥24 months. Demographic data, PD characteristics, treatment, and follow-up history were collected. Patients following up at least once in six months were considered as regular, else were labeled irregular. Montreal cognitive assessment, patient health questionnaire-4, Pittsburgh sleep quality (SQ) index, Epworth sleepiness scale, global quality of life (GQOL) scale, and Morisky Green Levine medication adherence scale (MGL-MAS) were used to evaluate cognition, depressive and anxiety features, SQ, excessive daytime sleepiness (EDS), quality of life (QOL), and APMs adherence, respectively.
Nearly half (46%) of the PD patients reported high adherence (MGL-MAS = 0). Most of the clinical characteristics were comparable between those with medium/low and high adherence, except for a larger proportion of patients in the medium/low adherence group belonging to Hoehn–Yahr stage >2 (P = 0.02). A comparable proportion of patients in both groups reported poor SQ (P = 0.52) and EDS (P = 0.32). In comparison to the high adherence group, a significantly lower median GQOL score was observed in the medium/low adherence group (median [interquartile range] = 65 [50–70] vs. 80 [70–85]; P < 0.001). The APMs prescription and follow-up patterns were comparable between both groups.
More than half the PD patients reported medium-to-low adherence. While motor severity and depressive symptoms were associated with medium-to-low adherence, poor SQ was comparable in both groups. Those with medium-to-low adherence reported poor QOL.