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Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences with ChronoRecord Over 20 Years
Introduction Longitudinal study is an essential methodology for understanding disease trajectories, treatment effects, symptom changes, and long-term outcomes of affective disorders. Daily self-charting of mood and other illness-related variables is a commonly recommended intervention. With the wide...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484643/ https://www.ncbi.nlm.nih.gov/pubmed/37678394 http://dx.doi.org/10.1055/a-2156-5667 |
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author | Bauer, Michael Glenn, Tasha Alda, Martin Grof, Paul Bauer, Rita Ebner-Priemer, Ulrich W. Ehrlich, Stefan Pfennig, Andrea Pilhatsch, Maximilian Rasgon, Natalie Whybrow, Peter C. |
author_facet | Bauer, Michael Glenn, Tasha Alda, Martin Grof, Paul Bauer, Rita Ebner-Priemer, Ulrich W. Ehrlich, Stefan Pfennig, Andrea Pilhatsch, Maximilian Rasgon, Natalie Whybrow, Peter C. |
author_sort | Bauer, Michael |
collection | PubMed |
description | Introduction Longitudinal study is an essential methodology for understanding disease trajectories, treatment effects, symptom changes, and long-term outcomes of affective disorders. Daily self-charting of mood and other illness-related variables is a commonly recommended intervention. With the widespread acceptance of home computers in the early 2000s, automated tools were developed for patient mood charting, such as ChronoRecord, a software validated by patients with bipolar disorder. The purpose of this study was to summarize the daily mood, sleep, and medication data collected with ChronoRecord, and highlight some of the key research findings. Lessons learned from implementing a computerized tool for patient self-reporting are also discussed. Methods After a brief training session, ChronoRecord software for daily mood charting was installed on a home computer and used by 609 patients with affective disorders. Results The mean age of the patients was 40.3±11.8 years, a mean age of onset was 22±11.2 years, and 71.4% were female. Patients were euthymic for 70.8% of days, 15.1% had mild depression, 6.6% had severe depression, 6.6% had hypomania, and 0.8% had mania. Among all mood groups, 22.4% took 1–2 medications, 37.2% took 3–4 medications, 25.7 took 5–6 medications, 11.6% took 7–8 medications, and 3.1% took >8 medications. Conclusion The daily mood charting tool is a useful tool for increasing patient involvement in their care, providing detailed patient data to the physician, and increasing understanding of the course of illness. Longitudinal data from patient mood charting was helpful in both clinical and research settings. |
format | Online Article Text |
id | pubmed-10484643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-104846432023-09-08 Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences with ChronoRecord Over 20 Years Bauer, Michael Glenn, Tasha Alda, Martin Grof, Paul Bauer, Rita Ebner-Priemer, Ulrich W. Ehrlich, Stefan Pfennig, Andrea Pilhatsch, Maximilian Rasgon, Natalie Whybrow, Peter C. Pharmacopsychiatry Introduction Longitudinal study is an essential methodology for understanding disease trajectories, treatment effects, symptom changes, and long-term outcomes of affective disorders. Daily self-charting of mood and other illness-related variables is a commonly recommended intervention. With the widespread acceptance of home computers in the early 2000s, automated tools were developed for patient mood charting, such as ChronoRecord, a software validated by patients with bipolar disorder. The purpose of this study was to summarize the daily mood, sleep, and medication data collected with ChronoRecord, and highlight some of the key research findings. Lessons learned from implementing a computerized tool for patient self-reporting are also discussed. Methods After a brief training session, ChronoRecord software for daily mood charting was installed on a home computer and used by 609 patients with affective disorders. Results The mean age of the patients was 40.3±11.8 years, a mean age of onset was 22±11.2 years, and 71.4% were female. Patients were euthymic for 70.8% of days, 15.1% had mild depression, 6.6% had severe depression, 6.6% had hypomania, and 0.8% had mania. Among all mood groups, 22.4% took 1–2 medications, 37.2% took 3–4 medications, 25.7 took 5–6 medications, 11.6% took 7–8 medications, and 3.1% took >8 medications. Conclusion The daily mood charting tool is a useful tool for increasing patient involvement in their care, providing detailed patient data to the physician, and increasing understanding of the course of illness. Longitudinal data from patient mood charting was helpful in both clinical and research settings. Georg Thieme Verlag KG 2023-09-07 /pmc/articles/PMC10484643/ /pubmed/37678394 http://dx.doi.org/10.1055/a-2156-5667 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/). https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Bauer, Michael Glenn, Tasha Alda, Martin Grof, Paul Bauer, Rita Ebner-Priemer, Ulrich W. Ehrlich, Stefan Pfennig, Andrea Pilhatsch, Maximilian Rasgon, Natalie Whybrow, Peter C. Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences with ChronoRecord Over 20 Years |
title | Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences
with ChronoRecord Over 20 Years |
title_full | Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences
with ChronoRecord Over 20 Years |
title_fullStr | Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences
with ChronoRecord Over 20 Years |
title_full_unstemmed | Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences
with ChronoRecord Over 20 Years |
title_short | Longitudinal Digital Mood Charting in Bipolar Disorder: Experiences
with ChronoRecord Over 20 Years |
title_sort | longitudinal digital mood charting in bipolar disorder: experiences
with chronorecord over 20 years |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484643/ https://www.ncbi.nlm.nih.gov/pubmed/37678394 http://dx.doi.org/10.1055/a-2156-5667 |
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