Predicting carer health effects for use in economic evaluation.

ABSTRACT:

Background

Illnesses and interventions can affect the health status of family carers in addition to patients. However economic evaluation studies rarely incorporate data on health status of carers.

Objectives

We investigated whether changes in carer health status could be 'predicted' from the health data of those they provide care to (patients), as a means of incorporating carer outcomes in economic evaluation.

Methods

We used a case study of the family impact of meningitis, with 497 carer-patient dyads surveyed at two points. We used regression models to analyse changes in carers' health status, to derive predictive algorithms based on variables relating to the patient. We evaluated the predictive accuracy of different models using standard model fit criteria.

Res

SUBMITTER: Al-Janabi H 

PROVIDER: S-EPMC5614532 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature