Evidence map›Paper›PMID 38436819›Full record

ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2024

Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics.

Jasper S Lee, Emma Browning, Joanne Hokayem, Hannah Albrechta, Georgia R Goodman, Krishna Venkatasubramanian, Arlen Dumas, Stephanie P Carreiro, Conall O'Cleirigh, Peter R Chai

Abstract read
In one paragraph

Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jasper S LeeDepartment of Emergency Medicine, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Emma BrowningThe Fenway Institute, Fenway Health, Boston, USA.
Joanne HokayemThe Fenway Institute, Fenway Health, Boston, USA.
Hannah AlbrechtaThe Fenway Institute, Fenway Health, Boston, USA.
Georgia R GoodmanDepartment of Emergency Medicine, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Krishna VenkatasubramanianDepartment of Computer Science and Statistics, University of Rhode Island, Kingston, USA.
Arlen DumasDepartment of Computer Science and Statistics, University of Rhode Island, Kingston, USA.
Stephanie P CarreiroDepartment of Emergency Medicine, University of Massachusetts Chan Medical School, Boston, USA.
Conall O'CleirighDepartment of Psychiatry, Massachusetts General Hospital, Boston, USA.
Peter R ChaiDepartment of Emergency Medicine, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA. pchai@bwh.harvard.edu.

Funding

Smart Steps: A context-aware adherence intervention to improve PrEP adherence among men who have sex with men (MSM) with substance use disorderDP2DA056107 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2022 to 2022
$2.7M
The ANTIDOTE Institute- Advancing New Toxicology Investigators in Drug abuse and Original Translational research EffortsR25DA058490 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEPHANIE P CARREIRO, Peter R Chai · 2023 to 2026
$1.2M
Development of Ingestible Biosensors to Enhance PrEP Adherence in Substance UsersK23DA044874 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2018 to 2022
$1.0M
NIDA NIH HHS DP2 DA056107NIDA NIH HHS DP2DA056107NIDA NIH HHS K23 DA044874NIDA NIH HHS R25 DA058490NIDA NIH HHS R25DA058490
6 · The paper itself

Abstract

Digital phenotyping is a process that allows researchers to leverage smartphone and wearable data to explore how technology use relates to behavioral health outcomes. In this Research Concepts article, we provide background on prior research that has employed digital phenotyping; the fundamentals of how digital phenotyping works, using examples from participant data; the application of digital phenotyping in the context of substance use and its syndemics; and the ethical, legal and social implications of digital phenotyping. We discuss applications for digital phenotyping in medical toxicology, as well as potential uses for digital phenotyping in future research. We also highlight the importance of obtaining ground truth annotation in order to identify and establish digital phenotypes of key behaviors of interest. Finally, there are many potential roles for medical toxicologists to leverage digital phenotyping both in research and in the future as a clinical tool to better understand the contextual features associated with drug poisoning and overdose. This article demonstrates how medical toxicologists and researchers can progress through phases of a research trajectory using digital phenotyping to better understand behavior and its association with smartphone usage.

Indexed as

Substance-Related DisordersWearable Electronic DevicesHumansPhenotypeSmartphoneSyndemicDigital PhenotypingSmartphoneSubstance useSyndemicsWearable

Identifiers

PMID38436819
PMCPMC10959908

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.