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Showing posts from April, 2010

Accuracy of coding of diabetes

The incorrect classification, diagnosis and coding of the type of diabetes can affect the quality of health care that people with diabetes receive. A study published recently in the journal Diabetic Medicine examined the accuracy of diagnostic data on diabetes. The study found that errors in the coding and classification of diabetes were common. The study included some useful algorithms to help doctors identify which patients may not have their diabetes recorded correctly.

Research Assistant - TRANSFORM Project

An opportunity has arisen for either a Research Assistant or Research Associate to join an international/cross-discipline team creating a rapid learning healthcare system to improve patient safety and volume of clinical research in Europe. This is an exciting opportunity for an individual with a keen interest in data mining and/or data provenance who is looking to gain experience in medical informatics. The aim of the research is to design and develop an extensible provenance framework to be integrated into the decision support and data mining engines to ensure auditability and accountability. This position will be responsible for investigating existing provenance models and their applicability to data mining tasks and contributing to the development of novel data mining models for translational data. See the Imperial College Recruitment Page for further details.

Public Financing of Health in Developing Countries

I attended a conference today hosted jointly by the Imperial College’s Institute for Global Health and the Lancet which discussed public financing of health in developing countries. The centre-piece of the conference was a presentation by Professor Christopher Murray of the paper published by him and his colleagues in the Lancet. The main conclusion of Professor Murray’s study was that development assistance for health from donor countries can lead to a reduction in direct government spending on health in developing countries. In contrast, when development assistance for health was given to non-governmental organisations, this effect was not present. The study was a very impressive achievement, particularly given the limitations of the data that Professor Murray’s team had to use. The study raises some important questions for both donor countries and recipients of development assistance for health.

Has pay for performance improved the management of diabetes in the UK?

A recent article in Primary Care Diabetes examines the question of whether pay for performance has improved the management of diabetes in the United Kingdom. Over the past decade, the UK government has introduced a number of major policy initiatives to improve the quality of health care. One such initiative was the introduction of the Quality and Outcomes Framework (QOF), a pay for performance programme for general practices launched in April 2004. The QOF aimed to improve the primary care management of common chronic conditions including diabetes. The introduction of QOF has been associated with improvements in the quality indicators for diabetes care included in the framework. However, it is difficult to disentangle the impact of QOF from other quality initiatives as few studies have adjusted for underlying trends in quality. QOF may also have reduced inequalities in diabetes care between affluent and deprived areas. Less is known about the impact of QOF on aspects of diabetes care …