Comprehensive population-based determination of pediatric multiple sclerosis health care costs
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Abstract
Objective: To determine the health care costs associated with pediatric multiple sclerosis (MS).
Methods: We performed a retrospective analysis of all patients with MS 18 years of age or younger who were diagnosed or treated between 2002 and 2012 in a population-based cohort. Demographics and health care costs were extracted from the Intermountain Healthcare Enterprise Data Warehouse. Patients were divided into high-cost (>84th percentile) and low-cost groups and differences in health care utilization between the groups were analyzed.
Results: Fifty-seven pediatric patients with MS were identified. Health care costs for the cohort totaled more than $1.5 million over the 10-year period, with the top 16th percentile of patients contributing nearly two-thirds. Outpatient visits represented the majority of health care encounters and expenditures, accounting for 83.1% of total costs. Costs per encounter were highest for inpatient stays, averaging $2,924 per stay.
Conclusions: The burden of health care expenses for pediatric patients with MS is significant. Expenditures related to outpatient visits were the largest contributor to costs, but inpatient stays were the most costly per encounter. A small proportion of patients incurred the bulk of costs and spent significantly more time receiving care compared to the majority of patients. Avoidance of inpatient treatment and efficient outpatient management are potential areas for health care cost reduction and improvement in care.
GLOSSARY
- EDW=
- Enterprise Data Warehouse;
- ICD-9=
- International Classification of Diseases–9;
- IH=
- Intermountain Healthcare;
- MS=
- multiple sclerosis
Footnotes
Funding information and disclosures are provided at the end of the article. Go to Neurology.org/nn for full disclosure forms. The Article Processing Charge was paid by Alicia Hughes (on behalf of Division of Pediatric Neurology at University of Utah).
↵* These authors contributed equally to this work.
- Received March 10, 2016.
- Accepted in final form November 1, 2016.
- © 2016 American Academy of Neurology
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
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