Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness

Abstract Activity patterns can be important indicators in patients with serious mental illness. Here, we utilized an accelerometer and electrocardiogram incorporated within a digital medicine system, which also provides objective medication ingestion records, to explore markers of patient activity a...

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Autores principales:	Jeffrey M. Cochran, Zahra Heidary, Jonathan Knights
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/c5d6f14ff7be45df82296dd8d2f77de8
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spelling	oai:doaj.org-article:c5d6f14ff7be45df82296dd8d2f77de82021-12-02T14:26:08ZCharacterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness10.1038/s41746-021-00436-12398-6352https://doaj.org/article/c5d6f14ff7be45df82296dd8d2f77de82021-04-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00436-1https://doaj.org/toc/2398-6352Abstract Activity patterns can be important indicators in patients with serious mental illness. Here, we utilized an accelerometer and electrocardiogram incorporated within a digital medicine system, which also provides objective medication ingestion records, to explore markers of patient activity and investigate whether these markers of behavioral change are related to medication adherence. We developed an activity rhythm score to measure the consistency of step count patterns across the treatment regimen and explored the intensity of activity during active intervals. We then compared these activity features to ingestion behavior, both on a daily basis, using daily features and single-day ingestion behavior, and at the patient-level, using aggregate features and overall ingestion rates. Higher values of the single-day features for both the activity rhythm and activity intensity scores were associated with higher rates of ingestion on the following day. Patients with a mean activity rhythm score greater than the patient-level median were also shown to have higher overall ingestion rates than patients with lower activity rhythm scores (p = 0.004). These initial insights demonstrate the ability of digital medicine to enable the development of digital behavioral markers that can be compared to previously unavailable objective ingestion information to improve medication adherence.Jeffrey M. CochranZahra HeidaryJonathan KnightsNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Jeffrey M. Cochran Zahra Heidary Jonathan Knights Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
description	Abstract Activity patterns can be important indicators in patients with serious mental illness. Here, we utilized an accelerometer and electrocardiogram incorporated within a digital medicine system, which also provides objective medication ingestion records, to explore markers of patient activity and investigate whether these markers of behavioral change are related to medication adherence. We developed an activity rhythm score to measure the consistency of step count patterns across the treatment regimen and explored the intensity of activity during active intervals. We then compared these activity features to ingestion behavior, both on a daily basis, using daily features and single-day ingestion behavior, and at the patient-level, using aggregate features and overall ingestion rates. Higher values of the single-day features for both the activity rhythm and activity intensity scores were associated with higher rates of ingestion on the following day. Patients with a mean activity rhythm score greater than the patient-level median were also shown to have higher overall ingestion rates than patients with lower activity rhythm scores (p = 0.004). These initial insights demonstrate the ability of digital medicine to enable the development of digital behavioral markers that can be compared to previously unavailable objective ingestion information to improve medication adherence.
format	article
author	Jeffrey M. Cochran Zahra Heidary Jonathan Knights
author_facet	Jeffrey M. Cochran Zahra Heidary Jonathan Knights
author_sort	Jeffrey M. Cochran
title	Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
title_short	Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
title_full	Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
title_fullStr	Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
title_full_unstemmed	Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
title_sort	characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c5d6f14ff7be45df82296dd8d2f77de8
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Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness

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