@article{ref1,
title="Evaluation of the National Minimum Data Set for neurological conditions in older adults",
journal="Journal of geriatric psychiatry and neurology",
year="2017",
author="Narayan, Sujita W. and Jamieson, Hamish A. and Nishtala, Prasad S.",
volume="30",
number="6",
pages="331-336",
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). <br><br>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. <br><br>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. <br><br>CONCLUSION: Substantial agreement between multiple sources of health data can be a valuable resource for decision-making in older people with neurological conditions.<p /> <p>Language: en</p>",
language="en",
issn="0891-9887",
doi="10.1177/0891988717732154",
url="http://dx.doi.org/10.1177/0891988717732154"
}