Retro ALGO myCOPD
Research type
Research Study
Full title
Using an algorithm to explore existing myCOPD data to assess prescription accuracy in patients with a diagnosis of COPD
IRAS ID
320723
Contact name
Alison Blythin
Contact email
Sponsor organisation
my mhealth Limited
Duration of Study in the UK
0 years, 2 months, 30 days
Research summary
In this retrospective study, my mhealth Limited wishes to utilise existing myCOPD data to assess prescription accuracy against guidelines recommended by GOLD 2023. The aim is to assess if myCOPD users, according to these guidelines, have been prescribed recommended therapy based on their symptoms (CAT Scores) and history of moderate and severe COPD Exacerbations reported within myCOPD.
myCOPD is a cloud-based, digital health self-management app, which has been in use within the NHS since 2016. It was designed by my mhealth Limited, a UK based company founded by NHS respiratory consultant specialists and is one of four long term condition self-management apps developed by the company. There are more than 33,000 myCOPD registered patients offering a rich dataset that could provide insight to see if patients are appropriately pharmacologically treated against current guidelines, this information may improve our understanding about how we could reduce the risk of COPD exacerbation and/or reduce the patient symptom burden.
Based on app reported data, myCOPD automatically groups patients into GOLD groups A,B and E according to their CAT score, exacerbation history and severity. Utilising the existing database of GOLD categorised patients, this study will use a specifically designed algorithm on the anonymised data of these categorised patients, to assess prescribing accuracy according to GOLD 2023 guidelines.
Existing anonymised myCOPD data will be fed through the algorithm. The algorithm comprises of 3 groups (A, B and E) of decision tables that reflect current GOLD Guidelines 2023, for both initial medication for that group as well as recommended step up/down recommendations. My mhealth will investigate the utility of the algorithm to identify whether each patient is on the correct medication based on exacerbation frequency, hospital admission and CAT score. The algorithm has been programmed to report against all current medication combinations.
REC name
London - West London & GTAC Research Ethics Committee
REC reference
22/PR/1722
Date of REC Opinion
9 Jan 2023
REC opinion
Favourable Opinion