Risk prediction and segmentation models used in the United States for assessing risk in whole populations: a critical literature review with implications for nurses' role in population health management.

ABSTRACT:

Objective

We sought to assess the current state of risk prediction and segmentation models (RPSM) that focus on whole populations.

Materials

Academic literature databases (ie MEDLINE, Embase, Cochrane Library, PROSPERO, and CINAHL), environmental scan, and Google search engine.

Methods

We conducted a critical review of the literature focused on RPSMs predicting hospitalizations, emergency department visits, or health care costs.

Results

We identified 35 distinct RPSMs among 37 different journal articles (n = 31), websites (n = 4), and abstracts (n = 2). Most RPSMs (57%) defined their population as health plan enrollees while fewer RPSMs (26%) included an age-defined population (26%) and/or geographic boundary (26%). Most RPSMs (51%) focused

SUBMITTER: Jeffery AD 

PROVIDER: S-EPMC6952013 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature