Search Our Scientific Publications & Authors

Publications
find publications by category +
Translate page:

Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study.

Authors:
Alexander S Young Abigail Choi Shay Cannedy Lauren Hoffmann Lionel Levine Li-Jung Liang Melissa Medich Rebecca Oberman Tanya T Olmos-Ochoa

JMIR Res Protoc 2022 Aug 5;11(8):e39010. Epub 2022 Aug 5.

Center for the Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Veterans Healthcare Center, Department of Veterans Affairs, Los Angeles, CA, United States.

Background: Serious mental illnesses (SMI) are common, disabling, and challenging to treat, requiring years of monitoring and treatment adjustments. Stress or reduced medication adherence can lead to rapid worsening of symptoms and behaviors. Illness exacerbations and relapses generally occur with little or no clinician awareness in real time, leaving limited opportunity to modify treatments. Previous research suggests that passive mobile sensing may be beneficial for individuals with SMI by helping them monitor mental health status and behaviors, and quickly detect worsening mental health for prompt assessment and intervention. However, there is too little research on its feasibility and acceptability and the extent to which passive data can predict changes in behaviors or symptoms.

Objective: The aim of this research is to study the feasibility, acceptability, and safety of passive mobile sensing for tracking behaviors and symptoms of patients in treatment for SMI, as well as developing analytics that use passive data to predict changes in behaviors and symptoms.

Methods: A mobile app monitors and transmits passive mobile sensor and phone utilization data, which is used to track activity, sociability, and sleep in patients with SMI. The study consists of a user-centered design phase and a mobile sensing phase. In the design phase, focus groups, interviews, and usability testing inform further app development. In the mobile sensing phase, passive mobile sensing occurs with participants engaging in weekly assessments for 9 months. Three- and nine-month interviews study the perceptions of passive mobile sensing and ease of app use. Clinician interviews before and after the mobile sensing phase study the usefulness and feasibility of app utilization in clinical care. Predictive analytic models are built, trained, and selected, and make use of machine learning methods. Models use sensor and phone utilization data to predict behavioral changes and symptoms.

Results: The study started in October 2020. It has received institutional review board approval. The user-centered design phase, consisting of focus groups, usability testing, and preintervention clinician interviews, was completed in June 2021. Recruitment and enrollment for the mobile sensing phase began in October 2021.

Conclusions: Findings may inform the development of passive sensing apps and self-tracking in patients with SMI, and integration into care to improve assessment, treatment, and patient outcomes.

Trial Registration: ClinicalTrials.gov NCT05023252; https://clinicaltrials.gov/ct2/show/NCT05023252.

International Registered Report Identifier (irrid): DERR1-10.2196/39010.

Download full-text PDF

 Source
http://dx.doi.org/10.2196/39010DOI Listing
August 2022

Publication Analysis

Top Keywords

mobile sensing
32
passive mobile
24
sensing phase
16
user-centered design
12
data predict
12
design phase
12
mental health
12
mobile
10
sensing
9
passive
9
utilization data
8
patients smi
8
study feasibility
8
changes behaviors
8
predict changes
8
focus groups
8
passive data
8
feasibility acceptability
8
usability testing
8
clinician interviews
8

Keyword Occurance

Similar Publications

Development and validation of a route planning methodology for vehicle-based remote measurements of methane and other emissions from oil and gas wells and facilities.

Authors:
Mozhou Gao Chris H Hugenholtz Thomas Barchyn

J Air Waste Manag Assoc 2022 Aug 12. Epub 2022 Aug 12.

University of Calgary.

Multi-sensor vehicle systems have been implemented in large-scale field programs to detect, attribute, and estimate emissions rates of methane (CH) and other compounds from oil and gas wells and facilities. Most vehicle systems use passive sensing; they must be positioned downwind of sources to detect emissions. A major deployment challenge is predicting the best measurement locations and driving routes to sample infrastructure. Read More

View Article and Full-Text PDF
August 2022
Similar Publications

Dosimetric evaluation of respiratory gating on a 0.35-T magnetic resonance-guided radiotherapy linac.

Authors:
John A Charters Yasin Abdulkadir Dylan O'Connell Yingli Yang James M Lamb

J Appl Clin Med Phys 2022 Aug 10:e13666. Epub 2022 Aug 10.

Department of Radiation Oncology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California, USA.

Purpose: The commercial 0.35-T magnetic resonance imaging (MRI)-guided radiotherapy vendor ViewRay recently introduced upgraded real-time imaging frame rates based on compressed sensing techniques. Furthermore, additional motion tracking algorithms were made available. Read More

View Article and Full-Text PDF
August 2022
Similar Publications

Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study.

Authors:
Virginia LeBaron Ridwan Alam Rachel Bennett Leslie Blackhall Kate Gordon James Hayes Nutta Homdee Randy Jones Kathleen Lichti Yudel Martinez Sahar Mohammadi Emmanuel Ogunjirin Nyota Patel John Lach

JMIR Cancer 2022 Aug 9;8(3):e36879. Epub 2022 Aug 9.

The George Washington University School of Engineering & Applied Science, Washington, DC, United States.

Background: Distressing cancer pain remains a serious symptom management issue for patients and family caregivers, particularly within home settings. Technology can support home-based cancer symptom management but must consider the experience of patients and family caregivers, as well as the broader environmental context.

Objective: This study aimed to test the feasibility and acceptability of a smart health sensing system-Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C)-that was designed to support the monitoring and management of cancer pain in the home setting. Read More

View Article and Full-Text PDF
August 2022
Similar Publications

DSF-family quorum sensing signal-mediated intraspecies, interspecies, and inter-kingdom communication.

Authors:
Ya-Wen He Yinyue Deng Yansong Miao Subhadeep Chatterjee Tuan Minh Tran Jing Tian Steven Lindow

Trends Microbiol 2022 Aug 5. Epub 2022 Aug 5.

Department of Plant and Microbial Biology, University of California Berkeley, CA 94720, USA.

While most bacteria are unicellular microbes they communicate with each other and with their environments to adapt their behaviors. Quorum sensing (QS) is one of the best-studied cell-cell communication modes. QS signaling is not restricted to bacterial cell-to-cell communication - it also allows communication between bacteria and their eukaryotic hosts. Read More

View Article and Full-Text PDF
August 2022
Similar Publications

Progress in smartphone-enabled aptasensors.

Authors:
Qurat Ul Ain Zahra Syed Agha Hassnain Mohsan Faisal Shahzad Mohammad Qamar Bensheng Qiu Zhaofeng Luo Shabi Abbas Zaidi

Biosens Bioelectron 2022 Jun 25;215:114509. Epub 2022 Jun 25.

Analytical Chemistry Program, Department of Chemistry and Earth Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar. Electronic address:

Despite their high analytical performance, conventional analytical biosensor devices are usually difficult to handle, time-consuming, bulky and expensive. As a result, their applications remain restricted to resource-limited environments. In particular, the transportation of conventional analytical equipment is challenging for the proper in-situ point of need (PON)/point of care (POC) detection of biomolecules. Read More

View Article and Full-Text PDF
June 2022
Similar Publications
}