DiabetesE, developed by Innove, is an online, diabetes service, self assessment tool. It was designed as a cost effective alternative to peer review, to measure and benchmark the quality of diabetes services and drive continuous quality improvement in diabetes care. It is one of a suite of complementary information tools which operate under the auspices of the National Diabetes Information Service (NDIS) and, since 2003, it has been provided in England by BT, through a contact with NHS Connecting for Health.
Using a built in scoring and decision support system, DiabetesE enables primary and secondary care providers and commissioners to:
In 2009, Innove Solutions was commissioned to re-write the software to:
In 2010, Innove Solutions was commissioned to introduce new functionality into the tool, to support the Government’s aspiration to deliver transparency in health outcomes and, to accommodate the introduction of new commissioning organisations. The high level DiabetesE results are publicly available: https://www.diabetese.net/Public/HowDoICompareOptions.aspx
In 2011/12, to make DiabetesE more efficient, scalable and easier to maintain, Innove Solutions is developing DiabetesE as a Model-View-Controller (MVC) application, utilising the latest Microsoft .Net technology.
In addition, Innove Solutions provides the national DiabetesE technical helpdesk support.
The Burden of Disease methodology was developed by researchers at Harvard University and the World Health Organisation for the World Bank, to quantify the amount of premature mortality and disability present in any given population. The summary measure that the methodology derived was the Disability Adjusted Life Year or DALY.
The methodology allows the use of DALYs to carry out projections of:
Burden of Disease is an important tool that can be used to help the planning of future health service provision in a specific area.
To make the methodology more accessible to commissioners, Innove Solutions has developed a database system that can quickly and automatically carry out this analysis, for any given population and, generate the output as a combination of graphs and tables. Once calculated, this data can then be exported in a standard Excel format, for further manipulation.