Co-occurring chronic conditions and healthcare expenditures associated with Parkinson's disease: A propensity score matched analysis

Sandipan Bhattacharjee, Usha Sambamoorthi

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Background: The objective of this study was to ascertain co-occurring chronic conditions and expenditures associated with Parkinson's disease among elderly individuals (age≥65 years). Methods: A retrospective, cross-sectional matched case-control design with data from Medical Expenditure Panel Survey (MEPS), a nationally representative survey of households in the United States was used. Elderly with Parkinson's disease (N=350) were compared to a matched control group (N=1050) based on propensity scores. Ordinary Least Squares regressions on logged dollars were performed to understand the association between Parkinson's disease and expenditures. All analyses accounted for the complex survey design of the MEPS and were conducted in SAS 9.3. Results: Among elderly, the average total expenditures were $15,404 for those with Parkinson's disease and $13,333 for those without Parkinson's disease. Results from regressions revealed that elderly with Parkinson's disease had 109% greater total expenditure compared to those without Parkinson's disease, when only demographic and socioeconomic variables were entered in the model. When co-occurring chronic conditions were additionally included in the model, those with Parkinson's disease had 84% greater expenditures compared to those without Parkinson's disease. Conclusions: Excess expenditures associated with Parkinson's disease are partially driven by co-occurring conditions among individuals with Parkinson's disease.

Original languageEnglish (US)
Pages (from-to)746-750
Number of pages5
JournalParkinsonism and Related Disorders
Volume19
Issue number8
DOIs
StatePublished - Aug 1 2013
Externally publishedYes

Keywords

  • Co-occurring conditions
  • Expenditure
  • Parkinson's disease
  • Propensity score

ASJC Scopus subject areas

  • Neurology
  • Geriatrics and Gerontology
  • Clinical Neurology

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