My new paper published in the Journal of the Royal Society of Medicine discusses excess mortality during the Covid-19 pandemic. The scale of the COVID-19 pandemic has forced policy-makers to operate with limited evidence for the relative success of different control measures. Excess mortality is one key outcome measure. The highest excess mortality per million population is seen in Spain, followed by England and Wales. The majority of these excess deaths are caused by COVID-19, but a significant proportion are not directly related to COVID-19. In measuring the impact of COVID-19, mortality is however only one of many important outcomes. Even in ‘mild’ cases not requiring hospitalisation, symptoms can be long-lasting, and heart and lung complications are common, affecting quality of life and ability to work. Beyond the effects on health, the pandemic has disrupted all aspects of society – many countries have experienced record economic recessions, while school closures affect children’s educational attainment.
As part of a session on primary care data in the Health Informatics module on the Imperial Master of Public Health Programme, I asked students to work in two groups to present arguments for and against the NHS Care.Data programme. Care.Data is an NHS programme that will extract data from the medical records held by general practitioners (GPs) in England. The Care.Data programme takes advantage of the very high level of use of electronic medical records by GPs in England. After extraction, data will be uploaded to the NHS Health and Social Care Information Centre (HSCIC). The data will then be used for functions such as health care planning, monitoring disease patterns and research. The programme has been controversial with proponents arguing that the programme will bring many benefits for the NHS and the population of England; and opponents arguing it is a major breach of privacy. You can view the two presentations to help inform you further about these arguments: Arguments for th
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