Requisite models for strategic commissioning : the example of type 1 diabetes

Airoldi, Mara and Bevan, Gwyn and Morton, Alec and Oliveira, Mónica and Smith, Jenifer (2008) Requisite models for strategic commissioning : the example of type 1 diabetes. Health Care Management Science, 11 (2). pp. 89-110. ISSN 1572-9389

Full text not available in this repository.Request a copy from the Strathclyde author

Abstract

A developing emphasis of health care reforms has been creating organisations with responsibilities for strategic commissioning of services for defined populations. Such organisations must set priorities in aiming to meet their populations’ needs subject to a budget constraint. This requires estimates of the health benefits and costs of different interventions for their populations. This paper outlines a framework that does this and shows how this requires modelling to produce estimates in a way that is transparent to commissioners, of requisite complexity to produce sound estimates for priority setting using routinely available data. The example illustrated in this paper is an intervention that would improve glucose control in the English population with type 1 diabetes. It takes many years for a change in glucose management to deliver maximum benefits; hence the intervention is not good value-for-money in the short run. We aim to give a more strategic view of the costs and benefits modelling costs and benefits in a steady-state model which suggests that the intervention is good value-for-money in the long run

Author(s):Airoldi, Mara, Bevan, Gwyn, Morton, Alec ORCID logoORCID: https://orcid.org/0000-0003-3803-8517, Oliveira, Mónica and Smith, Jenifer
Item type:Article
ID code:45449
Keywords:requisite models, strategic commissioning, type 1 diabetes, operations research/decision theory, business/management science, general econometrics, management, health informatics, health administration, Management. Industrial Management, Strategy and Management, Health Informatics
Subjects:Social Sciences > Industries. Land use. Labor > Management. Industrial Management
Department:Strathclyde Business School > Management Science
Depositing user: Pure Administrator
Date deposited:28 Oct 2013 18:01
Last modified:08 Nov 2019 06:03
URI:https://strathprints.strath.ac.uk/id/eprint/45449
Export data:
CORE (COnnecting REpositories)