Implications of the Use of Algorithmic Diagnoses or Medicare Claims to Ascertain Dementia.
Algorithms
Dementia
Diagnosis
Medicare
Sensitivity and specificity
Journal
Neuroepidemiology
ISSN: 1423-0208
Titre abrégé: Neuroepidemiology
Pays: Switzerland
ID NLM: 8218700
Informations de publication
Date de publication:
2020
2020
Historique:
received:
29
05
2020
accepted:
07
08
2020
pubmed:
20
10
2020
medline:
25
9
2021
entrez:
19
10
2020
Statut:
ppublish
Résumé
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. 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. Estimates of dementia prevalence derived using algorithmic or Medicare-based ascertainment differ substantially from those obtained using criterion-standard ascertainment. Use of algorithmic or Medicare-based dementia ascertainment can, but does not always, lead to risk factor associations that substantially differ from those obtained using criterion-standard ascertainment. Absolute estimates of dementia prevalence should rely on samples with formal dementia ascertainment. The use of multiple algorithms is recommended for risk factor studies when formal dementia ascertainment is not available.
Identifiants
pubmed: 33075766
pii: 000510753
doi: 10.1159/000510753
pmc: PMC7725984
mid: NIHMS1625109
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
462-471Subventions
Organisme : NIA NIH HHS
ID : R03 AG055485
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG009740
Pays : United States
Informations de copyright
© 2020 S. Karger AG, Basel.
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