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

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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

ORCID iDs

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
    Dates:
    Date
    Event
    1 June 2008
    Published
    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:19 Feb 2021 03:56
    URI:https://strathprints.strath.ac.uk/id/eprint/45449
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