Evaluation of the National Minimum Data Set for Neurological Conditions in Older Adults

Sujita W. Narayan, Hamish A. Jamieson, Prasad S. Nishtala

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Aim: To evaluate the National Minimum Data Set (NMDS) against the International Resident Assessment Instrument-Home Care (interRAI-HC) in diagnosing dementia or Parkinson disease (PD). Method: The NMDS data were matched with interRAI-HC for all older individuals in New Zealand. Dementia or PD was compared within 90 and 180 days and 1 to 4 years preceding and subsequent to the date of diagnosis in interRAI-HC. Consistency was measured through sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), weighted kappa (κ), and McNemar test. Results: For a diagnosis within 90 days, dementia showed 60.77% sensitivity, 95.33% specificity, 68.46% PPV, and 93.58% NPV. The PD showed 65.74% sensitivity, 99.52% specificity, 80.43% PPV, and 98.98% NPV. κ for dementia (κ = 0.59), PD (κ = 0.720), and McNemar test was significant (P <.001) for all lengths of follow-up. Conclusion: Substantial agreement between multiple sources of health data can be a valuable resource for decision-making in older people with neurological conditions.

Original languageEnglish
Pages (from-to)331-336
Number of pages6
JournalJournal of Geriatric Psychiatry and Neurology
Volume30
Issue number6
Early online date26 Sep 2017
DOIs
Publication statusPublished - 1 Nov 2017

Keywords

  • dementia
  • evaluation
  • home care
  • interRAI
  • National Minimum Data Set
  • Parkinson disease

ASJC Scopus subject areas

  • Clinical Neurology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Evaluation of the National Minimum Data Set for Neurological Conditions in Older Adults'. Together they form a unique fingerprint.

Cite this