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Enhancing case ascertainment of Parkinson's disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study.

Publication ,  Journal Article
Ton, TGN; Biggs, ML; Comer, D; Curtis, L; Hu, S-C; Thacker, EL; Searles Nielsen, S; Delaney, JA; Landsittel, D; Longstreth, WT; Checkoway, H; Jain, S
Published in: Pharmacoepidemiol Drug Saf
February 2014

PURPOSE: We sought to improve a previous algorithm to ascertain Parkinson's disease (PD) in the Cardiovascular Health Study by incorporating additional data from Medicare outpatient claims. We compared our results to the previous algorithm in terms of baseline prevalence and incidence of PD, as well as associations with baseline smoking characteristics. METHODS: Our original case ascertainment used self-reported diagnosis, antiparkinsonian medication, and hospitalization discharge International Classification of Diseases-Ninth version code. In this study, we incorporated additional data from fee-for-service Medicare claims, extended follow-up time, review of hospitalization records, and adjudicated cause of death. Two movement disorders specialists adjudicated final PD status. We used logistic regression models and controlled for age, sex, African American race, and education. RESULTS: We identified 75 additional cases but reclassified 80 previously identified cases as not having PD. We observed significant inverse association with smoking status (odds ratio = 0.42; 95% confidence interval (CI) = 0.22, 0.79), and inverse linear trends with pack-years (p = 0.005), and cigarettes per day (p = 0.019) with incident PD. All estimates were stronger than those from the previous algorithm. CONCLUSIONS: Our enhanced method did not alter prevalence and incidence estimates compared with our previous algorithm. However, our enhanced method provided stronger estimates of association, potentially due to reduced level of disease misclassification.

Duke Scholars

Published In

Pharmacoepidemiol Drug Saf

DOI

EISSN

1099-1557

Publication Date

February 2014

Volume

23

Issue

2

Start / End Page

119 / 127

Location

England

Related Subject Headings

  • United States
  • Time Factors
  • Smoking
  • Prospective Studies
  • Prevalence
  • Pharmacology & Pharmacy
  • Parkinson Disease
  • Medicare
  • Male
  • Logistic Models
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ton, T. G. N., Biggs, M. L., Comer, D., Curtis, L., Hu, S.-C., Thacker, E. L., … Jain, S. (2014). Enhancing case ascertainment of Parkinson's disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study. Pharmacoepidemiol Drug Saf, 23(2), 119–127. https://doi.org/10.1002/pds.3552
Ton, Thanh G. N., Mary Lou Biggs, Diane Comer, Lesley Curtis, Shu-Ching Hu, Evan L. Thacker, Susan Searles Nielsen, et al. “Enhancing case ascertainment of Parkinson's disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study.Pharmacoepidemiol Drug Saf 23, no. 2 (February 2014): 119–27. https://doi.org/10.1002/pds.3552.
Ton TGN, Biggs ML, Comer D, Curtis L, Hu S-C, Thacker EL, et al. Enhancing case ascertainment of Parkinson's disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study. Pharmacoepidemiol Drug Saf. 2014 Feb;23(2):119–27.
Ton, Thanh G. N., et al. “Enhancing case ascertainment of Parkinson's disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study.Pharmacoepidemiol Drug Saf, vol. 23, no. 2, Feb. 2014, pp. 119–27. Pubmed, doi:10.1002/pds.3552.
Ton TGN, Biggs ML, Comer D, Curtis L, Hu S-C, Thacker EL, Searles Nielsen S, Delaney JA, Landsittel D, Longstreth WT, Checkoway H, Jain S. Enhancing case ascertainment of Parkinson's disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study. Pharmacoepidemiol Drug Saf. 2014 Feb;23(2):119–127.

Published In

Pharmacoepidemiol Drug Saf

DOI

EISSN

1099-1557

Publication Date

February 2014

Volume

23

Issue

2

Start / End Page

119 / 127

Location

England

Related Subject Headings

  • United States
  • Time Factors
  • Smoking
  • Prospective Studies
  • Prevalence
  • Pharmacology & Pharmacy
  • Parkinson Disease
  • Medicare
  • Male
  • Logistic Models