A cardiovascular disease policy model: part 2 – preparing for economic evaluation and to assess health inequalitiesReportar como inadecuado




A cardiovascular disease policy model: part 2 – preparing for economic evaluation and to assess health inequalities - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Reference: Woodward, M, Lawson, K, Briggs, A et al., (2016). A cardiovascular disease policy model: part 2 – preparing for economic evaluation and to assess health inequalities. Open Heart, 3.Citable link to this page:

 

A cardiovascular disease policy model: part 2 – preparing for economic evaluation and to assess health inequalities

Abstract: ObjectivesThis is the second of two papers introducing a cardiovascular disease (CVD) policy model. The first paper described the structure and statistical underpinning of the state transition model, demonstrating how life expectancy estimates are generated for individuals defined by ASSIGN risk factors. This second paper describes how the model is prepared to undertake economic evaluation. DesignTo generate quality adjusted life expectancy (QALE), the Scottish Health Survey was used to estimate background morbidity (health utilities) and the impact of CVD events (utility decrements). The SF-6D algorithm generated utilities and decrements were modelled using ordinary least squares (OLS). To generate lifetime hospital costs the Scottish Heart Health Extended Cohort (SHHEC) was linked to the Scottish morbidity and death records (SMR) to cost each Continuous Inpatient Stay (CIS). OLS and restricted cubic splines estimated annual costs before and after each of the first four events. A Kaplan Meier Sample Average (KMSA) estimator was then used to weight expected health related quality of life and costs by the probability of survival. ResultsThe policy model predicts the change in QALE and lifetime hospital costs as a result of an intervention(s) modifying risk factors. Cost effectiveness analysis and a full uncertainty analysis can be undertaken, including probabilistic sensitivity analysis. Notably, the impacts according to socioeconomic deprivation status can be made. ConclusionsThe policy model can conduct cost effectiveness analysis and decision analysis to inform approaches to primary prevention, including individually targeted and population interventions, and to assess impacts on health inequalities.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Accepted manuscriptNotes:Copyright © 2016 by the BMJ Publishing Group Ltd and British Cardiovascular Society

Bibliographic Details

Publisher: BMJ Publishing Group

Publisher Website: http://www.bmj.com/

Publisher: BMJ Publishing Group: Open Access

Journal: Open Heartsee more from them

Publication Website: http://openheart.bmj.com/

Issue Date: 2016-04Identifiers

Urn: uuid:78b76fde-9f4b-4656-b1f0-a61c7e0b3269

Source identifier: 616638

Doi: https://doi.org/10.1136/openhrt-2014-000140

Issn: 2053-3624 Item Description

Type: Journal article;

Version: Accepted manuscriptKeywords: Cardiovascular disease policy model life expectancy socio-economic deprivation quality adjusted life expectancy costs primary prevention economic evaluation cost effectiveness Tiny URL: pubs:616638

Relationships





Autor: Woodward, M - institutionUniversity of Oxford Oxford, MSD, Obstetrics and Gynaecology - - - Lawson, K - - - Briggs, A - - - Lewse

Fuente: https://ora.ox.ac.uk/objects/uuid:78b76fde-9f4b-4656-b1f0-a61c7e0b3269



DESCARGAR PDF




Documentos relacionados