Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review.

ABSTRACT:

Background

Among older adults, nursing home admissions (NHAs) are considered a significant adverse outcome and have been extensively studied. Although the volume and significance of electronic data sources are expanding, it is unclear what predictors of NHA have been systematically identified in the literature via electronic health records (EHRs) and administrative data.

Objective

This study synthesizes findings of recent literature on identifying predictors of NHA that are collected from administrative data or EHRs.

Methods

The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines were used for study selection. The PubMed and CINAHL databases were used to retrieve the studies. Articles published betwe

SUBMITTER: Han E 

PROVIDER: S-EPMC10686617 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature