Effectiveness and cost-effectiveness of a cardiovascular risk prediction algorithm for people with severe mental illness (PRIMROSE).

ABSTRACT:

Objectives

To determine the cost-effectiveness of two bespoke severe mental illness (SMI)-specific risk algorithms compared with standard risk algorithms for primary cardiovascular disease (CVD) prevention in those with SMI.

Setting

Primary care setting in the UK. The analysis was from the National Health Service perspective.

Participants

1000 individuals with SMI from The Health Improvement Network Database, aged 30-74 years and without existing CVD, populated the model.

Interventions

Four cardiovascular risk algorithms were assessed: (1) general population lipid, (2) general population body mass index (BMI), (3) SMI-specific lipid and (4) SMI-specific BMI, compared against no algorithm. At baseline, each cardiovascular risk algorithm was applied and those con

SUBMITTER: Zomer E 

PROVIDER: S-EPMC5588956 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature