Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review.

ABSTRACT:

Background

Population-based, prospective studies can provide important insights into Parkinson's disease (PD) and other parkinsonian disorders. Participant follow-up in such studies is often achieved through linkage to routinely collected healthcare datasets. We systematically reviewed the published literature on the accuracy of these datasets for this purpose.

Methods

We searched four electronic databases for published studies that compared PD and parkinsonism cases identified using routinely collected data to a reference standard. We extracted study characteristics and two accuracy measures: positive predictive value (PPV) and/or sensitivity.

Results

We identified 18 articles, resulting in 27 measures of PPV and 14 of sensitivity. For PD, PPV ranged from 56-90% in h

SUBMITTER: Harding Z 

PROVIDER: S-EPMC6354966 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature