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Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment
We conducted a 16-week randomized controlled trial in psychiatric outpatients with a lifetime diagnosis of a mood and/or anxiety disorder to measure the impact of a first-of-its-kind precision digital intervention software solution based on social rhythm regulation principles. The full intent-to-tre...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478192/ https://www.ncbi.nlm.nih.gov/pubmed/36120713 http://dx.doi.org/10.3389/fdgth.2022.870522 |
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author | Frank, Ellen Wallace, Meredith L. Matthews, Mark J. Kendrick, Jeremy Leach, Jeremy Moore, Tara Aranovich, Gabriel Choudhury, Tanzeem Shah, Nirav R. Framroze, Zeenia Posey, Greg Burgess, Samuel A. Kupfer, David J. |
author_facet | Frank, Ellen Wallace, Meredith L. Matthews, Mark J. Kendrick, Jeremy Leach, Jeremy Moore, Tara Aranovich, Gabriel Choudhury, Tanzeem Shah, Nirav R. Framroze, Zeenia Posey, Greg Burgess, Samuel A. Kupfer, David J. |
author_sort | Frank, Ellen |
collection | PubMed |
description | We conducted a 16-week randomized controlled trial in psychiatric outpatients with a lifetime diagnosis of a mood and/or anxiety disorder to measure the impact of a first-of-its-kind precision digital intervention software solution based on social rhythm regulation principles. The full intent-to-treat (ITT) sample consisted of 133 individuals, aged 18–65. An exploratory sub-sample of interest was those individuals who presented with moderately severe to severe depression at study entry (baseline PHQ-8 score ≥15; N = 28). Cue is a novel digital intervention platform that capitalizes on the smartphone's ability to continuously monitor depression-relevant behavior patterns and use each patient's behavioral data to provide timely, personalized “micro-interventions,” making this the first example of a precision digital intervention of which we are aware. Participants were randomly allocated to receive Cue plus care-as-usual or digital monitoring only plus care as usual. Within the full study and depressed-at-entry samples, we fit a mixed effects model to test for group differences in the slope of depressive symptoms over 16 weeks. To account for the non-linear trajectory with more flexibility, we also fit a mixed effects model considering week as a categorical variable and used the resulting estimates to test the group difference in PHQ change from baseline to 16 weeks. In the full sample, the group difference in the slope of PHQ-8 was negligible (Cohen's d = −0.10); however, the Cue group demonstrated significantly greater improvement from baseline to 16 weeks (p = 0.040). In the depressed-at-entry sample, we found evidence for benefit of Cue. The group difference in the slope of PHQ-8 (Cohen's d = −0.72) indicated a meaningfully more rapid rate of improvement in the intervention group than in the control group. The Cue group also demonstrated significantly greater improvement in PHQ-8 from baseline to 16 weeks (p = 0.009). We are encouraged by the size of the intervention effect in those who were acutely ill at baseline, and by the finding that across all participants, 80% of whom were receiving pharmacotherapy, we observed significant benefit of Cue at 16 weeks of treatment. These findings suggest that a social rhythm-focused digital intervention platform may represent a useful and accessible adjunct to antidepressant treatment (https://clinicaltrials.gov/ct2/show/NCT03152864?term=ellen+frank&draw=2&rank=3). |
format | Online Article Text |
id | pubmed-9478192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94781922022-09-17 Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment Frank, Ellen Wallace, Meredith L. Matthews, Mark J. Kendrick, Jeremy Leach, Jeremy Moore, Tara Aranovich, Gabriel Choudhury, Tanzeem Shah, Nirav R. Framroze, Zeenia Posey, Greg Burgess, Samuel A. Kupfer, David J. Front Digit Health Digital Health We conducted a 16-week randomized controlled trial in psychiatric outpatients with a lifetime diagnosis of a mood and/or anxiety disorder to measure the impact of a first-of-its-kind precision digital intervention software solution based on social rhythm regulation principles. The full intent-to-treat (ITT) sample consisted of 133 individuals, aged 18–65. An exploratory sub-sample of interest was those individuals who presented with moderately severe to severe depression at study entry (baseline PHQ-8 score ≥15; N = 28). Cue is a novel digital intervention platform that capitalizes on the smartphone's ability to continuously monitor depression-relevant behavior patterns and use each patient's behavioral data to provide timely, personalized “micro-interventions,” making this the first example of a precision digital intervention of which we are aware. Participants were randomly allocated to receive Cue plus care-as-usual or digital monitoring only plus care as usual. Within the full study and depressed-at-entry samples, we fit a mixed effects model to test for group differences in the slope of depressive symptoms over 16 weeks. To account for the non-linear trajectory with more flexibility, we also fit a mixed effects model considering week as a categorical variable and used the resulting estimates to test the group difference in PHQ change from baseline to 16 weeks. In the full sample, the group difference in the slope of PHQ-8 was negligible (Cohen's d = −0.10); however, the Cue group demonstrated significantly greater improvement from baseline to 16 weeks (p = 0.040). In the depressed-at-entry sample, we found evidence for benefit of Cue. The group difference in the slope of PHQ-8 (Cohen's d = −0.72) indicated a meaningfully more rapid rate of improvement in the intervention group than in the control group. The Cue group also demonstrated significantly greater improvement in PHQ-8 from baseline to 16 weeks (p = 0.009). We are encouraged by the size of the intervention effect in those who were acutely ill at baseline, and by the finding that across all participants, 80% of whom were receiving pharmacotherapy, we observed significant benefit of Cue at 16 weeks of treatment. These findings suggest that a social rhythm-focused digital intervention platform may represent a useful and accessible adjunct to antidepressant treatment (https://clinicaltrials.gov/ct2/show/NCT03152864?term=ellen+frank&draw=2&rank=3). Frontiers Media S.A. 2022-09-02 /pmc/articles/PMC9478192/ /pubmed/36120713 http://dx.doi.org/10.3389/fdgth.2022.870522 Text en © 2022 Frank, Wallace, Matthews, Kendrick, Leach, Moore, Aranovich, Choudhury, Shah, Framroze, Posey, Burgess and Kupfer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Frank, Ellen Wallace, Meredith L. Matthews, Mark J. Kendrick, Jeremy Leach, Jeremy Moore, Tara Aranovich, Gabriel Choudhury, Tanzeem Shah, Nirav R. Framroze, Zeenia Posey, Greg Burgess, Samuel A. Kupfer, David J. Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
title | Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
title_full | Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
title_fullStr | Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
title_full_unstemmed | Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
title_short | Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
title_sort | personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478192/ https://www.ncbi.nlm.nih.gov/pubmed/36120713 http://dx.doi.org/10.3389/fdgth.2022.870522 |
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