An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection

Abstract Regulators increasingly require clinical outcome assessment (COA) data for approval. COAs can be collected via questionnaires or digital health technologies (DHTs), yet no single resource provides a side-by-side comparison of tools that collect complementary or related COA measures. We prop...

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Main Authors: Christine Manta Campbell, Courtney Webster, Megan Parisi, Roya Sherafat-Kazemzadeh, Jessica Braid, Thomas Switzer, Marcelo Alves Fávaro, Caprice Sassano, Andrea Coravos
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01068-x
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author Christine Manta Campbell
Courtney Webster
Megan Parisi
Roya Sherafat-Kazemzadeh
Jessica Braid
Thomas Switzer
Marcelo Alves Fávaro
Caprice Sassano
Andrea Coravos
author_facet Christine Manta Campbell
Courtney Webster
Megan Parisi
Roya Sherafat-Kazemzadeh
Jessica Braid
Thomas Switzer
Marcelo Alves Fávaro
Caprice Sassano
Andrea Coravos
author_sort Christine Manta Campbell
collection DOAJ
description Abstract Regulators increasingly require clinical outcome assessment (COA) data for approval. COAs can be collected via questionnaires or digital health technologies (DHTs), yet no single resource provides a side-by-side comparison of tools that collect complementary or related COA measures. We propose how to align ontologies for actively collected and passively monitored COAs into a single framework to allow for rapid, evidence-based, and fit-for-purpose measure selection.
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spelling doaj.art-aeef37ba92b54efebb5f6c56ef688bb12024-03-17T12:39:10ZengNature Portfolionpj Digital Medicine2398-63522024-03-01711510.1038/s41746-024-01068-xAn aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selectionChristine Manta Campbell0Courtney Webster1Megan Parisi2Roya Sherafat-Kazemzadeh3Jessica Braid4Thomas Switzer5Marcelo Alves Fávaro6Caprice Sassano7Andrea Coravos8HumanFirst Inc.HumanFirst Inc.Syneos Health®Mapi Research TrustRoche Products Ltd.Genentech, Inc.Mapi Research TrustHumanFirst Inc.HumanFirst Inc.Abstract Regulators increasingly require clinical outcome assessment (COA) data for approval. COAs can be collected via questionnaires or digital health technologies (DHTs), yet no single resource provides a side-by-side comparison of tools that collect complementary or related COA measures. We propose how to align ontologies for actively collected and passively monitored COAs into a single framework to allow for rapid, evidence-based, and fit-for-purpose measure selection.https://doi.org/10.1038/s41746-024-01068-x
spellingShingle Christine Manta Campbell
Courtney Webster
Megan Parisi
Roya Sherafat-Kazemzadeh
Jessica Braid
Thomas Switzer
Marcelo Alves Fávaro
Caprice Sassano
Andrea Coravos
An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
npj Digital Medicine
title An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
title_full An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
title_fullStr An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
title_full_unstemmed An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
title_short An aligned framework of actively collected and passively monitored clinical outcome assessments (COAs) for measure selection
title_sort aligned framework of actively collected and passively monitored clinical outcome assessments coas for measure selection
url https://doi.org/10.1038/s41746-024-01068-x
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