Cargando…
Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease
BACKGROUND: Gaucher disease is an inherited lysosomal storage disorder of which there are three subtypes. Type 1 disease has no neurological involvement and is treatable with enzyme replacement therapy. Type 2 disease results in infant death and type 3 disease is a heterogenous disorder characterise...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727397/ https://www.ncbi.nlm.nih.gov/pubmed/31488169 http://dx.doi.org/10.1186/s13023-019-1182-6 |
_version_ | 1783449242066485248 |
---|---|
author | Donald, Aimee Cizer, Huseyin Finnegan, Niamh Collin-Histed, Tanya Hughes, Derralynn A. Davies, Elin Haf |
author_facet | Donald, Aimee Cizer, Huseyin Finnegan, Niamh Collin-Histed, Tanya Hughes, Derralynn A. Davies, Elin Haf |
author_sort | Donald, Aimee |
collection | PubMed |
description | BACKGROUND: Gaucher disease is an inherited lysosomal storage disorder of which there are three subtypes. Type 1 disease has no neurological involvement and is treatable with enzyme replacement therapy. Type 2 disease results in infant death and type 3 disease is a heterogenous disorder characterised by progressive neurological decline throughout childhood and adult life. Endeavours to find a therapy to modify neurological disease are limited by a lack of meaningful clinical outcome measures which are acceptable to patients. RESULTS: We present results from a pilot study utilising wearable technology to monitor physical activity as a surrogate of disease activity/severity paired with a mobile phone app allowing patients to complete self-reported outcome measures in the real world as opposed to the hospital environment. We demonstrate feasibility of the approach and highlight areas for development with this study of 21 patients, both children and adults. CONCLUSIONS: We illustrate, where patients engage in the methodology, a rich dataset is obtainable and useful for proactive clinical care and for clinical trial outcome development. |
format | Online Article Text |
id | pubmed-6727397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67273972019-09-10 Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease Donald, Aimee Cizer, Huseyin Finnegan, Niamh Collin-Histed, Tanya Hughes, Derralynn A. Davies, Elin Haf Orphanet J Rare Dis Research BACKGROUND: Gaucher disease is an inherited lysosomal storage disorder of which there are three subtypes. Type 1 disease has no neurological involvement and is treatable with enzyme replacement therapy. Type 2 disease results in infant death and type 3 disease is a heterogenous disorder characterised by progressive neurological decline throughout childhood and adult life. Endeavours to find a therapy to modify neurological disease are limited by a lack of meaningful clinical outcome measures which are acceptable to patients. RESULTS: We present results from a pilot study utilising wearable technology to monitor physical activity as a surrogate of disease activity/severity paired with a mobile phone app allowing patients to complete self-reported outcome measures in the real world as opposed to the hospital environment. We demonstrate feasibility of the approach and highlight areas for development with this study of 21 patients, both children and adults. CONCLUSIONS: We illustrate, where patients engage in the methodology, a rich dataset is obtainable and useful for proactive clinical care and for clinical trial outcome development. BioMed Central 2019-09-05 /pmc/articles/PMC6727397/ /pubmed/31488169 http://dx.doi.org/10.1186/s13023-019-1182-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Donald, Aimee Cizer, Huseyin Finnegan, Niamh Collin-Histed, Tanya Hughes, Derralynn A. Davies, Elin Haf Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease |
title | Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease |
title_full | Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease |
title_fullStr | Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease |
title_full_unstemmed | Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease |
title_short | Measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in Gaucher disease |
title_sort | measuring disease activity and patient experience remotely using wearable technology and a mobile phone app: outcomes from a pilot study in gaucher disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727397/ https://www.ncbi.nlm.nih.gov/pubmed/31488169 http://dx.doi.org/10.1186/s13023-019-1182-6 |
work_keys_str_mv | AT donaldaimee measuringdiseaseactivityandpatientexperienceremotelyusingwearabletechnologyandamobilephoneappoutcomesfromapilotstudyingaucherdisease AT cizerhuseyin measuringdiseaseactivityandpatientexperienceremotelyusingwearabletechnologyandamobilephoneappoutcomesfromapilotstudyingaucherdisease AT finneganniamh measuringdiseaseactivityandpatientexperienceremotelyusingwearabletechnologyandamobilephoneappoutcomesfromapilotstudyingaucherdisease AT collinhistedtanya measuringdiseaseactivityandpatientexperienceremotelyusingwearabletechnologyandamobilephoneappoutcomesfromapilotstudyingaucherdisease AT hughesderralynna measuringdiseaseactivityandpatientexperienceremotelyusingwearabletechnologyandamobilephoneappoutcomesfromapilotstudyingaucherdisease AT davieselinhaf measuringdiseaseactivityandpatientexperienceremotelyusingwearabletechnologyandamobilephoneappoutcomesfromapilotstudyingaucherdisease |