Implications of the Use of Algorithmic Diagnoses or Medicare Claims to Ascertain Dementia.

ABSTRACT:

Introduction

Formal dementia ascertainment with research criteria is resource-intensive, prompting the growing use of alternative approaches. Our objective was to illustrate the potential bias and implications for study conclusions introduced through the use of alternate dementia ascertainment approaches.

Methods

We compared dementia prevalence and risk factor associations obtained using criterion-standard dementia diagnoses to those obtained using algorithmic or Medicare-based dementia ascertainment in participants of the baseline visit of the Aging, Demographics, and Memory Study (ADAMS), a Health and Retirement Study (HRS) sub-study.

Results

Estimates of dementia prevalence derived using algorithmic or Medicare-based ascertainment differ substantially from those ob

SUBMITTER: Power MC 

PROVIDER: S-EPMC7725984 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature