Data-driven app results in 25% fewer emergency hospital admissions from care homes


remote monitoring technology to improve care through reducing emergency attendances and admissions to hospit © AI generated image
Remote monitoring technology can be used to improve care through reducing emergency attendances and admissions to hospit

The use of a digital remote monitoring technology in care homes has been found to reduce hospital A&E attendances by 11% and emergency admissions by 25% in research led by Lancaster University.

The study is from the Health Data Research UK (HDR UK) Better Care programme, published in Age and Ageing - the official journal of the British Geriatrics Society.

There are over 400,000 people living in care homes across the UK, many of whom will be living with complex medical needs that put them at greater risk of needing emergency healthcare, especially during the winter months.

Through the HDR UK Better Care programme, a collaboration between the universities of Sheffield, Durham, Lancaster and Newcastle, researchers set out to investigate the benefits of using a digital technology for remote health monitoring within care homes.

Health Call, an NHS-owned digital company, developed a smartphone app that care home staff can use to monitor and manage the long-term health of residents by recording daily observations. The information, held securely in the app, provides a way for doctors and other clinicians to review the resident and offer guidance for their care while the resident is in their home.

Researchers looked at the impact of using the Health Call app for 8,702 residents in 118 care homes across the North East of England between 2018 and 2021.

By linking routinely collected NHS secondary care data from County Durham and Darlington NHS Foundation Trust with data gathered within the care homes, the team show that using the Health Call app reduced the number of attendances to A&E by 11% and unplanned emergency admissions by 25%.

Alex Garner, a PhD student at the Centre for Health Informatics, Computing and Statistics at Lancaster University and first author on the study, said: “As the age of the UK population increases, finding solutions that improve care and quality of life for older people has become increasingly important.

The findings of our study highlight the potential of data-driven solutions such as remote monitoring technology to improve care through reducing emergency attendances and admissions to hospital. Care home staff also reported that using the app boosted their confidence in being able to identify possible deterioration earlier and support better management of illnesses before hospitalisation is needed.

Our hope is that these types of digital technology will play a vital role in improving communication between health service providers in the future, benefiting both patients and the NHS.”

In addition to assessing the impact on hospital attendance and admissions, the research team also performed a cost analysis. They found that use of Health Call within care homes led to a cost reduction for the NHS of £57 per resident in 2018, increasing to £113 in 2021.

Suzanne Mason, Professor of Emergency Medicine at the University of Sheffield and senior author on the study, said: “By having the capability to link data recorded by care home staff to data from NHS services, we were able to evaluate the impact of using a novel digital monitoring technology such as the HealthCall app. This study highlights the added value in capturing routine health data for research above and beyond that already being collected for the delivery of patient care.”

The app provides a structured method for seeking clinical advice for the management of care home residents who become unwell. Staff are trained to use the app to record the vital signs of the residents to allow calculation of the National Early Warning Score 2 (NEWS2) – used across the NHS to identify patients who may be at risk of deterioration. Carers can also upload free text describing a resident’s condition using a Situation, Background, Assessment, Recommendation (SBAR) approach, which is a structured form of communication used to enable information to be conveyed accurately.

Jo Knight, Professor in Applied Data Science at Lancaster Medical School and member of the Lancaster University Data Science Institute, said: “Given the opportunities that will result from the investment into NHS secure data environments, this research looking at how to use routinely collected data to improve health outcomes is timely and important.”

Back to News