Self-Monitoring to predict Admission Risk using Technology (SMART)
Research type
Research Study
Full title
Self-monitoring of patients with ambulatory care sensitive conditions to predict unplanned event risk using smart technology
IRAS ID
273225
Contact name
Saurabh Johri
Contact email
Sponsor organisation
Luton Clinical Commissioning Group
Duration of Study in the UK
1 years, 3 months, 29 days
Research summary
The aim of this observational study is to develop risk prediction models for the risk of unplanned healthcare events (visits to accident & emergency departments, urgent care centres, or walk-in centres), in patients with two to four chronic ambulatory care sensitive conditions, using data from wearable and home monitoring devices.
The study has two objectives. The first objective is to use data from patient clinical histories, combined with data from two weeks of intensive data collection, to predict the risk of having one or more unplanned healthcare events within the next six months. In the first phase of the study, participants will measure their blood pressure, blood oxygen saturation and temperature daily for two weeks, whilst wearing a smartwatch which will continually monitor their heart rate, breathing rate, hours of sleep, and daily steps. Data on unplanned healthcare events during the following six months will be collected retrospectively from NHS commissioning data sets.
The second objective is to develop an algorithm which can predict unplanned healthcare events at least 24 hours in advance, using the data from the smartwatch and daily temperature measurements. Accordingly, in the second phase of the study, participants will wear a smartwatch and take daily temperature measurements for a period of six to nine months.
We will include 1,500 participants with two to four conditions from at least two of the following categories: respiratory (asthma, chronic obstructive pulmonary disorder), cardiac (chronic heart failure, angina, ischaemic heart disease, hypertension), diabetes (Type 1 or Type 2), and mental health (mild-to-moderate depression or anxiety disorder). Participants will be recruited in three batches, the second batch starting 5 weeks after the start of the first batch and the third 5 weeks after the second. All data collection will end after 9 months from the start of the first batch. Patient medical histories and data on hospital admissions during the study period will be collected at this point.REC name
North West - Preston Research Ethics Committee
REC reference
20/NW/0258
Date of REC Opinion
3 Jun 2020
REC opinion
Unfavourable Opinion