No abstract

Administrative databases have the potential to assess quality and cost of care for parkinsonism and Parkinson's disease. However, the validity of findings is limited by our understanding of how cases are identified. Patient records listing International Classification of Diseases, Version 9, Clinical Modification (ICD-9 CM) codes for parkinsonism (n = 2,076) and dopaminergic medications (n = 2,798) were pulled from fiscal years 1999 to 2001 for patients in the Pacific Northwest Veterans Administration. Samples of these records (n = 397) and records without these ICD-9 CM codes (n = 500) were reviewed, and clinical data were extracted. The accuracy of administrative data to identify and distinguish between Parkinson's disease and parkinsonism was calculated. A total of 37.9% of parkinsonism cases were detected using pharmacy data and ICD-9 CM codes compared to 18.7% by using ICD-9 CM codes alone. The ICD-9 CM code for paralysis agitans (332.0) did not distinguish between probable Parkinson's disease and other causes of parkinsonism, whereas the ICD-9 CM code for degenerative basal ganglia disorder (333.0) predicted having secondary parkinsonism (odds ratio [OR] = 5.0) as well as dopa-responsiveness in patients without secondary parkinsonism (OR = 4.5). Administrative data are limited in the ability to identify parkinsonism. The ICD-9 CM code, 332.0, which is generally considered the code to identify Parkinson's disease, did not distinguish between parkinsonism and Parkinson's disease.

Because Parkinson's disease (PD) has multiple neurological symptoms and often complex treatments, the quality of PD care may be higher when a specialist is involved. We examined the medical records, from 1998 to 2004, of 401 Los Angeles veterans with Parkinson's disease to determine whether care met key indicators of PD care quality. All care following a visit to a movement-disorder specialist or general neurologist was classified as specialty care. We compared adherence to each indicator by level of specialist involvement through logistic regression models. Over the study period, 10 indicators of PD care quality were triggered 2,227 times. Overall, movement disorder specialist involvement (78%) was associated with higher adherence to indicators than did general neurologist involvement (70%, P = 0.006) and nonneurologist involvement (52%, P < 0.001). The differences between movement disorder specialist and nonneurologist involvement were especially large for four indicators: treatment of wearing-off, assessments of falls, depression, and hallucinations. There is significant room for improving aspects of PD care quality among patients who do not have the involvement of a specialist. Quality of care interventions should involve specialists in management of motor symptoms and incorporate methods for routine assessment of nonmotor PD symptoms.

Parkinson's disease (PD) is a major cause of disability. To date, there have been no large-scale efforts to measure the quality of PD care because of a lack of quality indicators for conducting an explicit review of PD care processes. We present a set of quality indicators for PD care. Based on a structured review of the medical literature, 79 potential indicators were drafted. Through a two-round modified Delphi process, an expert panel of seven movement disorders specialists rated each indicator on criteria of validity, feasibility, impact on outcomes, room for improvement, and overall utility. Seventy-one quality indicators met validity and feasibility thresholds. Applying thresholds for impact on outcomes, room for improvement, and overall utility, a subset of 29 indicators was identified, spanning dopaminergic therapy, assessment of functional status, assessment and treatment of depression, coordination of care, and medication use. Multivariable analysis showed that overall utility ratings were driven by validity and impact on outcomes (P < 0.01). An expert panel can reach consensus on a set of highly rated quality indicators for PD care, which can be used to assess quality of PD care and guide the design of quality improvement projects.