Ontology highlight
ABSTRACT: Background
As populations age with increasingly complex chronic conditions, segmenting populations into clinically meaningful categories of healthcare and related service needs can provide healthcare planners with crucial information to optimally meet needs. However, while conventional approaches typically involve electronic medical records (EMRs), such records do not always capture information reliably or accurately.Objective
We describe the inter-rater reliability and predictive validity of a clinician-administered tool, the Simple Segmentation Tool (SST) for categorizing older individuals into one of six Global Impression (GI) segments and eight complicating factors (CFs) indicative of healthcare and related social needs.Design
Observational study ( ClinicalTrial
SUBMITTER: Chong JL
PROVIDER: S-EPMC7859147 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature