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Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review

BACKGROUND: The use of mobile devices in clinical research has advanced substantially in recent years due to the rapid pace of technology development. With an overall aim of informing the future use of mobile devices in interventional clinical research to measure primary outcomes, we conducted a sys...

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Autores principales: Perry, Brian, Herrington, Will, Goldsack, Jennifer C., Grandinetti, Cheryl A., Vasisht, Kaveeta P., Landray, Martin J., Bataille, Lauren, DiCicco, Robert A., Bradley, Corey, Narayan, Ashish, Papadopoulos, Elektra J., Sheth, Nirav, Skodacek, Ken, Stem, Komathi, Strong, Theresa V., Walton, Marc K., Corneli, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008882/
https://www.ncbi.nlm.nih.gov/pubmed/29938250
http://dx.doi.org/10.1159/000486347
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author Perry, Brian
Herrington, Will
Goldsack, Jennifer C.
Grandinetti, Cheryl A.
Vasisht, Kaveeta P.
Landray, Martin J.
Bataille, Lauren
DiCicco, Robert A.
Bradley, Corey
Narayan, Ashish
Papadopoulos, Elektra J.
Sheth, Nirav
Skodacek, Ken
Stem, Komathi
Strong, Theresa V.
Walton, Marc K.
Corneli, Amy
author_facet Perry, Brian
Herrington, Will
Goldsack, Jennifer C.
Grandinetti, Cheryl A.
Vasisht, Kaveeta P.
Landray, Martin J.
Bataille, Lauren
DiCicco, Robert A.
Bradley, Corey
Narayan, Ashish
Papadopoulos, Elektra J.
Sheth, Nirav
Skodacek, Ken
Stem, Komathi
Strong, Theresa V.
Walton, Marc K.
Corneli, Amy
author_sort Perry, Brian
collection PubMed
description BACKGROUND: The use of mobile devices in clinical research has advanced substantially in recent years due to the rapid pace of technology development. With an overall aim of informing the future use of mobile devices in interventional clinical research to measure primary outcomes, we conducted a systematic review of the use of and clinical outcomes measured by mobile devices (mobile outcomes) in observational and interventional clinical research. METHOD: We conducted a PubMed search using a range of search terms to retrieve peer-reviewed articles on clinical research published between January 2010 and May 2016 in which mobile devices were used to measure study outcomes. We screened each publication for specific inclusion and exclusion criteria. We then identified and qualitatively summarized the use of mobile outcome assessments in clinical research, including the type and design of the study, therapeutic focus, type of mobile device(s) used, and specific mobile outcomes reported. RESULTS: The search retrieved 2,530 potential articles of interest. After screening, 88 publications remained. Twenty-five percent of the publications (n = 22) described mobile outcomes used in interventional research, and the rest (n = 66) described observational clinical research. Thirteen therapeutic areas were represented. Five categories of mobile devices were identified: (1) inertial sensors, (2) biosensors, (3) pressure sensors and walkways, (4) medication adherence monitors, and (5) location monitors; inertial sensors/accelerometers were most common (reported in 86% of the publications). Among the variety of mobile outcomes, various assessments of physical activity were most common (reported in 74% of the publications). Other mobile outcomes included assessments of sleep, mobility, and pill adherence, as well as biomarkers assessed using a mobile device, including cardiac measures, glucose, gastric reflux, respiratory measures, and intensity of head-related injury. CONCLUSION: Mobile devices are being widely used in clinical research to assess outcomes, although their use in interventional research to assess therapeutic effectiveness is limited. For mobile devices to be used more frequently in pivotal interventional research – such as trials informing regulatory decision-making – more focus should be placed on: (1) consolidating the evidence supporting the clinical meaningfulness of specific mobile outcomes, and (2) standardizing the use of mobile devices in clinical research to measure specific mobile outcomes (e.g., data capture frequencies, placement of device). To that aim, this manuscript offers a broad overview of the various mobile outcome assessments currently used in observational and interventional research, and categorizes and consolidates this information for researchers interested in using mobile devices to assess outcomes in interventional research.
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spelling pubmed-60088822018-06-20 Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review Perry, Brian Herrington, Will Goldsack, Jennifer C. Grandinetti, Cheryl A. Vasisht, Kaveeta P. Landray, Martin J. Bataille, Lauren DiCicco, Robert A. Bradley, Corey Narayan, Ashish Papadopoulos, Elektra J. Sheth, Nirav Skodacek, Ken Stem, Komathi Strong, Theresa V. Walton, Marc K. Corneli, Amy Digit Biomark Review Article BACKGROUND: The use of mobile devices in clinical research has advanced substantially in recent years due to the rapid pace of technology development. With an overall aim of informing the future use of mobile devices in interventional clinical research to measure primary outcomes, we conducted a systematic review of the use of and clinical outcomes measured by mobile devices (mobile outcomes) in observational and interventional clinical research. METHOD: We conducted a PubMed search using a range of search terms to retrieve peer-reviewed articles on clinical research published between January 2010 and May 2016 in which mobile devices were used to measure study outcomes. We screened each publication for specific inclusion and exclusion criteria. We then identified and qualitatively summarized the use of mobile outcome assessments in clinical research, including the type and design of the study, therapeutic focus, type of mobile device(s) used, and specific mobile outcomes reported. RESULTS: The search retrieved 2,530 potential articles of interest. After screening, 88 publications remained. Twenty-five percent of the publications (n = 22) described mobile outcomes used in interventional research, and the rest (n = 66) described observational clinical research. Thirteen therapeutic areas were represented. Five categories of mobile devices were identified: (1) inertial sensors, (2) biosensors, (3) pressure sensors and walkways, (4) medication adherence monitors, and (5) location monitors; inertial sensors/accelerometers were most common (reported in 86% of the publications). Among the variety of mobile outcomes, various assessments of physical activity were most common (reported in 74% of the publications). Other mobile outcomes included assessments of sleep, mobility, and pill adherence, as well as biomarkers assessed using a mobile device, including cardiac measures, glucose, gastric reflux, respiratory measures, and intensity of head-related injury. CONCLUSION: Mobile devices are being widely used in clinical research to assess outcomes, although their use in interventional research to assess therapeutic effectiveness is limited. For mobile devices to be used more frequently in pivotal interventional research – such as trials informing regulatory decision-making – more focus should be placed on: (1) consolidating the evidence supporting the clinical meaningfulness of specific mobile outcomes, and (2) standardizing the use of mobile devices in clinical research to measure specific mobile outcomes (e.g., data capture frequencies, placement of device). To that aim, this manuscript offers a broad overview of the various mobile outcome assessments currently used in observational and interventional research, and categorizes and consolidates this information for researchers interested in using mobile devices to assess outcomes in interventional research. S. Karger AG 2018-01-31 /pmc/articles/PMC6008882/ /pubmed/29938250 http://dx.doi.org/10.1159/000486347 Text en Copyright © 2018 by S. Karger AG, Basel
spellingShingle Review Article
Perry, Brian
Herrington, Will
Goldsack, Jennifer C.
Grandinetti, Cheryl A.
Vasisht, Kaveeta P.
Landray, Martin J.
Bataille, Lauren
DiCicco, Robert A.
Bradley, Corey
Narayan, Ashish
Papadopoulos, Elektra J.
Sheth, Nirav
Skodacek, Ken
Stem, Komathi
Strong, Theresa V.
Walton, Marc K.
Corneli, Amy
Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
title Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
title_full Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
title_fullStr Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
title_full_unstemmed Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
title_short Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
title_sort use of mobile devices to measure outcomes in clinical research, 2010–2016: a systematic literature review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008882/
https://www.ncbi.nlm.nih.gov/pubmed/29938250
http://dx.doi.org/10.1159/000486347
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