Literature DB >> 26701378

Neurologist ambulatory care, health care utilization, and costs in a large commercial dataset.

John P Ney1, Barbara Johnson2, Tom Knabel2, Karolina Craft2, Joel Kaufman2.   

Abstract

OBJECTIVE: To determine the value of neurologist ambulatory care in chronic neurologic diseases in a large administrative claims dataset detailing costs, adverse events, and health care utilization.
METHODS: The Optum proprietary claims dataset (2010-2012) was examined to describe direct health care costs, as well as specific outcome metrics for a large population of persons with chronic neurologic illnesses. In phase I of the study, we detail neurologist involvement and differences in annualized allowed third--party payments within episode treatment groups (ETGs) for 10 neurologic illnesses. For phase II, we examined health care utilization for ETGs of epilepsy, Parkinson disease (PD), stroke, and multiple sclerosis (MS) with and without neurologist involvement. Reported outcomes were unadjusted differences and odds ratios between treatment groups.
RESULTS: For phase I, a total of 1,913,605 ETGs for 10 neurologic conditions were identified, 30.1% meeting criteria for neurologist involvement. All conditions had higher direct costs when neurologists were involved with care, ranging from a 25% increase for Alzheimer dementia to 100% more for MS care. In phase II, fractures, infections, emergent care, and inpatient admission were less with neurologist ambulatory care, while neurologist care was associated with greater utilization of disease-specific treatments (immunotherapies in MS anticoagulation in atrial fibrillation-associated stroke, deep brain stimulation and dopaminergic therapies in PD).
CONCLUSION: Neurologist involvement with care is associated with greater unadjusted allowed payments, but fewer adverse events and less acute care utilization.
© 2015 American Academy of Neurology.

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Year:  2015        PMID: 26701378      PMCID: PMC4776087          DOI: 10.1212/WNL.0000000000002276

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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