Tag Archives: staff

Let’s learn about Frailty: a blog series on training for healthcare staff in this complex field. By Alex Recio-Saucedo and Melinda Taylor

This is the first of a series of blogs drawing on a study of training for those working in frailty care, with additional reflections from other work.

What is frailty?

Before looking at training in frailty care, it would be helpful to understand something about what frailty is. Descriptions of frailty will almost always refer to the complexity of the condition. But what makes frailty different to other conditions that could be described as complex? We might think perhaps of multiple sclerosis, in which the patient may experience a range of clinical conditions and in which physical, psychological and social factors need to be taken into account. The same can be said for patients diagnosed as frail. Well, in a recent study, our participants considered that the complexity of frailty; how two patients could have such a wide disparity of signs, symptoms and needs; its evolving nature; its acute susceptibility to interventions or to the lack of them, and the high number of professions, sectors and organisations necessary to carrying out effective frailty care, were sufficient reasons for it to stand apart.

Continue reading Let’s learn about Frailty: a blog series on training for healthcare staff in this complex field. By Alex Recio-Saucedo and Melinda Taylor

Tackling operational problems in health care using modelling and simulation – Dr Tom Monks

NHS clinical commissioning groups across the UK are all focused on improving patient care while facing the pressures of an aging population, increasing volumes of patients with multiple complex health problems and the stark political reality of the need to cut costs. 

The complexity of these decisions and how to improve care is often enormously underestimated in the popular media. Take for example, the waiting time performance of accident and emergency (A&E) departments in the UK. 

Continue reading Tackling operational problems in health care using modelling and simulation – Dr Tom Monks