TY - JOUR
AU - Tu, Karen
AB - Background: Population-based surveillance of Alzheimer’s and relateddementias (AD-RD) incidence and prevalence is important for chronic disease management andhealth system capacity planning. Algorithms based on health administrative data have beensuccessfully developed for many chronic conditions. The increasing use of electronicmedical records (EMRs) by family physicians (FPs) provides a novel reference standard bywhich to evaluate these algorithms as FPs are the first point of contact and providers ofongoing medical care for persons with AD-RD.Objective: We used FP EMR data as the reference standard to evaluate theaccuracy of population-based health administrative data in identifying older adults withAD-RD over time.Methods: This retrospective chart abstraction study used a random sample ofEMRs for 3,404 adults over 65 years of age from 83 community-based FPs in Ontario, Canada.AD-RD patients identified in the EMR were used as the reference standard against whichalgorithms identifying cases of AD-RD in administrative databases were compared.Results: The highest performing algorithm was “one hospitalization code OR(three physician claims codes at least 30 days apart in a two year period) OR aprescription filled for an AD-RD specific medication” with sensitivity 79.3% (confidenceinterval (CI) 72.9–85.8%), specificity 99.1% (CI 98.8–99.4%), positive predictive value80.4% (CI 74.0–86.8%), and negative predictive value 99.0% (CI 98.7–99.4%). This resultedin an age- and sex-adjusted incidence of 18.1 per 1,000 persons and adjusted prevalence of72.0 per 1,000 persons in 2010/11.Conclusion: Algorithms developed from health administrative data aresensitive and specific for identifying older adults with AD-RD.
TI - Identification of Physician-Diagnosed Alzheimer’s Disease and Related          Dementias in Population-Based Administrative Data: A Validation Study Using Family          Physicians’ Electronic Medical Records
JF - Journal of Alzheimer's Disease
DO - 10.3233/jad-160105
DA - 2016-08-23
UR - https://www.deepdyve.com/lp/ios-press/identification-of-physician-diagnosed-alzheimer-s-disease-and-related-OSIYSWUgnr
SP - 337
EP - 349
VL - 54
IS - 1
DP - DeepDyve
ER -