FINGER (Forming and Identifying New Groups of Expected Risks): developing and validating a new predictive model to identify patients with high healthcare cost and at risk of admission.

ABSTRACT:

Objective

Predictive statistical models used in population stratification programmes are complex and usually difficult to interpret for primary care professionals. We designed FINGER (Forming and Identifying New Groups of Expected Risks), a new model based on clinical criteria, easy to understand and implement by physicians. Our aim was to assess the ability of FINGER to predict costs and correctly identify patients with high resource use in the following year.

Design

Cross-sectional study with a 2-year follow-up.

Setting

The Basque National Health System.

Participants

All the residents in the Basque Country (Spain) ≥14 years of age covered by the public healthcare service (n=1 946 884).

Methods

We developed an algorithm classifying diagnoses of long-ter

SUBMITTER: Orueta JF 

PROVIDER: S-EPMC5988109 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature