Introduction: Parkinson's disease (PD) treatment should follow guidelines and be tailored to each patient. Large database analyses can provide insights into prescribing patterns.
Methods: Retrospective, cross-sectional study of patients (≥30 years) with PD diagnosis (ICD-10; schizophrenia/cerebrovascular disease excluded) using health insurance claims data (April 2008-December 2016) from the Japan Medical Data Vision database. Prescription patterns of anti-PD drugs were analysed by patient age and sex, calendar year, and overall.
Results: The analysis comprised 155,493 PD patient-years (56.1% women, mean 73.4 years). Patient number increased each year, mainly because of database expansion. L-dopa as monotherapy was the most common prescription (22.7% of patient-years); non-ergot dopamine agonists (DAs) were also common (7.6% as monotherapy, 6.8% with L-dopa). Monotherapy was prescribed for ~50% of patient-years, two drugs for 14.1%, and at least three drugs for 18.4%. Consistent with Japanese guidelines, L-dopa was mostly prescribed to older patients (≥60 years), whereas non-ergot DAs were mostly prescribed to middle-aged patients (peak at 50-69 years). Between 2008 and 2011, L-dopa prescription decreased while that of non-ergot DAs increased; this pattern reversed between 2012 and 2016.
Conclusion: These results indicate that Japanese clinicians are adhering to Japanese guidelines and tailoring anti-PD treatment to individual patients.
Keywords: Anti-Parkinson's disease drug; COMT, catechol-O-methyltransferase; Cross-sectional study; DA, dopamine agonist; DPC/PDPS, Japanese Diagnosis Procedure Combination/Per-Diem Payment System; GPP3, Good Publication Practice 3; Health insurance claims data; ICD-10, International Classification of Disease, Tenth Revision; Japan; L-dopa, levodopa; MAO-B, monoamine oxidase-B; MDV, Medical Data Vision; PD, Parkinson's disease; Parkinson's disease; Prescription pattern.
© 2020 The Authors.