Multimorbidity clustering to inform more equitable health and social care

Multimorbidity is defined as an individual having two or more co-existing chronic conditions, where one is not more central than the other. Evidence shows that people with multimorbidity are more likely to rate their quality of life as poor, to use a larger proportion of healthcare services and have higher mortality rates. Additionally, people with multimorbidity have a greater number of emergency health care needs, which account for the greatest proportion of NHS budget allocation. The NHS long-term plan is clear about the need to reduce the burden on emergency care. Currently, data on emergency hospital admissions shows an increase of 2.1% between 2015/16 and 2016/17, mainly in over 65’s and those with multiple long-term conditions, highlighting the healthcare needs of these populations.

Levels of multimorbidity are increasing and more people now have two or more long-term conditions than those who have only one. However, the definitions applied in research into multimorbidity are variable and this makes it difficult to compare studies or gauge the true prevalence.

The NIHR has highlighted multimorbidity as one of their top research priorities, recognising that to develop an effective and efficient health and social care system we need to understand multimorbidity better. Not only do we need to know more about how different conditions cluster together, we also require a better understanding of time trends and the predictability of sequences of specific conditions. This will inform screening and/or prevention strategies and the training of healthcare staff in recognition and management of multimorbidiity. Very little is has been done to determine whether certain clusters exist in some areas more than others. This knowledge can help to identify socioeconomic factors affecting multimorbidity trajectories and their differential impacts. Furthermore, knowledge of clustering patterns can support planning and commissioning decisions.

Application is by CV and covering letter. The covering letter must detail your interest in the studentship, related experience and training and suitability for the position. Applications are to be sent to Dr Jennifer Downing, [Email Address Removed].