Diagnostic accuracy of case-identification algorithms for heart failure in the general population using routinely collected health data: a systematic review.

ABSTRACT:

Background

Heart failure (HF), affecting 1-4% of adults in industrialized countries, is a major public health priority. Several algorithms based on administrative health data (HAD) have been developed to detect patients with HF in a timely and inexpensive manner, in order to perform real-world studies at the population level. However, their reported diagnostic accuracy is highly variable.

Objective

To assess the diagnostic accuracy of validated HAD-based algorithms for detecting HF, compared to clinical diagnosis, and to investigate causes of heterogeneity.

Methods

We included all diagnostic accuracy studies that utilized HAD for the diagnosis of congestive HF in the general adult population, using clinical examination or chart review as the reference standard. A syst

SUBMITTER: Andreano A 

PROVIDER: S-EPMC11668106 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature