The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder

Background: Depression imposes a major burden on public health as the leading cause of disability worldwide. Sleep disturbance is a core symptom of depression that affects the vast majority of patients. Nonetheless, it is frequently not resolved by depression treatment and may even be worsened throu...

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Main Authors: Nele Peerenboom, Suvekshya Aryal, Jennifer M. Blankenship, Tracy Swibas, Yaya Zhai, Ieuan Clay, Kate Lyden
Format: Article
Language:English
Published: Karger Publishers 2023-09-01
Series:Digital Biomarkers
Subjects:
Online Access:https://beta.karger.com/Article/FullText/533523
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author Nele Peerenboom
Suvekshya Aryal
Jennifer M. Blankenship
Tracy Swibas
Yaya Zhai
Ieuan Clay
Kate Lyden
author_facet Nele Peerenboom
Suvekshya Aryal
Jennifer M. Blankenship
Tracy Swibas
Yaya Zhai
Ieuan Clay
Kate Lyden
author_sort Nele Peerenboom
collection DOAJ
description Background: Depression imposes a major burden on public health as the leading cause of disability worldwide. Sleep disturbance is a core symptom of depression that affects the vast majority of patients. Nonetheless, it is frequently not resolved by depression treatment and may even be worsened through some pharmaceutical interventions. Disturbed sleep negatively impact patients’ quality of life, and persistent sleep disturbance increases the risk of recurrence, relapse, and even suicide. However, the development of novel treatments that might improve sleep problems is hindered by the lack of reliable low-burden objective measures that can adequately assess disturbed sleep in this population. Summary: Developing improved digital measurement tools that are fit for use in clinical trials for major depressive disorder could promote the inclusion of sleep as a focus for treatment, clinical drug development, and research. This perspective piece explores the path toward the development of novel digital measures, reviews the existing evidence on the meaningfulness of sleep in depression, and summarizes existing methods of sleep assessments, including the use of digital health technologies. Key Messages: Our objective was to make a clear call to action and path forward for the qualification of new digital outcome measures which would enable assessment of sleep disturbance as an aspect of health that truly matters to patients, promoting sleep as an important outcome for clinical development, and ultimately ensure that disturbed sleep will not remain the forgotten symptom of depression.
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spelling doaj.art-7d7404c9c3f4451db2ca182f156429942023-10-06T13:15:02ZengKarger PublishersDigital Biomarkers2504-110X2023-09-017112413110.1159/000533523533523The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive DisorderNele Peerenboom0Suvekshya Aryal1Jennifer M. Blankenship2Tracy Swibas3Yaya Zhai4Ieuan Clay5Kate Lyden6Vivosense Inc., Newport Coast, CA, USAVivosense Inc., Newport Coast, CA, USAVivosense Inc., Newport Coast, CA, USAVivosense Inc., Newport Coast, CA, USAVivosense Inc., Newport Coast, CA, USAVivosense Inc., Newport Coast, CA, USAVivosense Inc., Newport Coast, CA, USABackground: Depression imposes a major burden on public health as the leading cause of disability worldwide. Sleep disturbance is a core symptom of depression that affects the vast majority of patients. Nonetheless, it is frequently not resolved by depression treatment and may even be worsened through some pharmaceutical interventions. Disturbed sleep negatively impact patients’ quality of life, and persistent sleep disturbance increases the risk of recurrence, relapse, and even suicide. However, the development of novel treatments that might improve sleep problems is hindered by the lack of reliable low-burden objective measures that can adequately assess disturbed sleep in this population. Summary: Developing improved digital measurement tools that are fit for use in clinical trials for major depressive disorder could promote the inclusion of sleep as a focus for treatment, clinical drug development, and research. This perspective piece explores the path toward the development of novel digital measures, reviews the existing evidence on the meaningfulness of sleep in depression, and summarizes existing methods of sleep assessments, including the use of digital health technologies. Key Messages: Our objective was to make a clear call to action and path forward for the qualification of new digital outcome measures which would enable assessment of sleep disturbance as an aspect of health that truly matters to patients, promoting sleep as an important outcome for clinical development, and ultimately ensure that disturbed sleep will not remain the forgotten symptom of depression.https://beta.karger.com/Article/FullText/533523digital measuresdigital healthactigraphydepressionmajor depressive disordersleepinsomnia
spellingShingle Nele Peerenboom
Suvekshya Aryal
Jennifer M. Blankenship
Tracy Swibas
Yaya Zhai
Ieuan Clay
Kate Lyden
The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder
Digital Biomarkers
digital measures
digital health
actigraphy
depression
major depressive disorder
sleep
insomnia
title The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder
title_full The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder
title_fullStr The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder
title_full_unstemmed The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder
title_short The Case for the Patient-Centric Development of Novel Digital Sleep Assessment Tools in Major Depressive Disorder
title_sort case for the patient centric development of novel digital sleep assessment tools in major depressive disorder
topic digital measures
digital health
actigraphy
depression
major depressive disorder
sleep
insomnia
url https://beta.karger.com/Article/FullText/533523
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