Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
4 participants
INTERVENTIONAL
2023-02-09
2023-06-16
Brief Summary
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Within this project are 7 pilot themes investigating various potential uses of the platform, in Northern Ireland we are leading on medicines control and optimisation.
This pilot is focused on identifying, managing and improving deficiencies in adherence to medicines and treatments of older individuals living with permanent or temporary reduced functions or capabilities due to chronic, age-related illnesses and living at home. Digital Solutions (including blood pressure monitors, pulse oximeters, weight scales and glucometers) will be used to enable self-monitoring of the individual's physiological parameters. Data will also be used to develop an algorithm to help predict decompensations in participants with heart failure and dynamic personal ranges will also be developed. In the future this may enable early opportunities to adjust medicines and treatments so as to deliver safer and more effective use of medicines in-home, however, in this pilot there will be no changes to treatment.
The target population is composed of older individuals (+65 years) living at home with heart failure and/or diabetes. We aim to recruit 30 people (for 3 months) to our pilot in Northern Ireland. We are working closely with colleagues in Spain, Czech Republic, Cyprus and Germany to run similar pilots within their healthcare systems.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
OTHER
NONE
Study Groups
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intervention
The intervention being piloted in this study is a novel system of supporting older individuals with multiple long-term conditions to self-manage their chronic conditions through the daily use of a digital health product that can also facilitate the remote monitoring of a person's health status.
SHAPES app
Participants will be asked to use the app and connected devices daily for 3 months.
Interventions
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SHAPES app
Participants will be asked to use the app and connected devices daily for 3 months.
Eligibility Criteria
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Inclusion Criteria
* ≥60 years
* Diagnosed with heart failure and/or diabetes mellitus (treatment includes regular self-monitoring of blood glucose)
* Lives at home or in supported living accommodation (category 1 or 2).
* Category 1 - self-contained accommodation for the more active elderly, which may include an element of scheme supervisor support and/or additional communal facilities
* Category 2 - scheme supervisor supported self-contained accommodation for the less active elderly, which includes the full range of communal facilities
* Has stable self-reported Wi-Fi connection at home
* Has access to an appropriate android smartphone or tablet
* Android device running version 8 or above; supports Wi-Fi; supports BLE; front facing camera for facial recognition
* Self-reported stable disease state, the participant feels well enough to take part in the pilot
* Self-reported confident user of smartphone/tablet
Exclusion Criteria
* Wears an electronic medical device or implant (e.g. pacemaker, electrocardiogram)
60 Years
100 Years
ALL
No
Sponsors
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Mid and East Antrim Agewell Partnership (MEAAP)
UNKNOWN
University of Nicosia
OTHER
Vicomtech
UNKNOWN
TREE Technology S.A.
UNKNOWN
National University of Ireland, Maynooth
OTHER
Gnomon Informatics S.A.
UNKNOWN
Edgeneering LDA
UNKNOWN
Fraunhofer-Institute of Toxicology and Experimental Medicine
OTHER
University of Ulster
OTHER
Prof Michael Scott
OTHER_GOV
Responsible Party
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Prof Michael Scott
Prof Michael Scott
Principal Investigators
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Michael Scott
Role: PRINCIPAL_INVESTIGATOR
Northern Health and Social Care Trust
Locations
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Medicines Optimisation Innovation Centre
Antrim, , United Kingdom
Countries
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Provided Documents
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Document Type: Study Protocol
Other Identifiers
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857159
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
284743
Identifier Type: OTHER
Identifier Source: secondary_id
NT21-SHAPES
Identifier Type: -
Identifier Source: org_study_id
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