Cargando…

The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement

BACKGROUND: Remote measurement technologies (RMTs) such as smartphones and wearables can help improve treatment for depression by providing objective, continuous, and ecologically valid insights into mood and behavior. Engagement with RMTs is varied and highly context dependent; however, few studies...

Descripción completa

Detalles Bibliográficos
Autores principales:	de Angel, Valeria, Adeleye, Fadekemi, Zhang, Yuezhou, Cummins, Nicholas, Munir, Sara, Lewis, Serena, Laporta Puyal, Estela, Matcham, Faith, Sun, Shaoxiong, Folarin, Amos A, Ranjan, Yatharth, Conde, Pauline, Rashid, Zulqarnain, Dobson, Richard, Hotopf, Matthew
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906314/ https://www.ncbi.nlm.nih.gov/pubmed/36692937 http://dx.doi.org/10.2196/42866

Ejemplares similares

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
por: Zhang, Yuezhou, et al.
Publicado: (2023)

The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones
por: Laiou, Petroula, et al.
Publicado: (2022)

Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study
por: Zhang, Yuezhou, et al.
Publicado: (2021)

Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study
por: Sun, Shaoxiong, et al.
Publicado: (2023)

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
por: Zhang, Yuezhou, et al.
Publicado: (2021)

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices
por: Ranjan, Yatharth, et al.
Publicado: (2019)

Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)
por: Stewart, Callum, et al.
Publicado: (2021)

Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence
por: Laiou, Petroula, et al.
Publicado: (2022)

Using digital health tools for the Remote Assessment of Treatment Prognosis in Depression (RAPID): a study protocol for a feasibility study
por: de Angel, Valeria, et al.
Publicado: (2022)

Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial
por: White, Katie M, et al.
Publicado: (2021)

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
por: Zhang, Yuezhou, et al.
Publicado: (2022)

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
por: Zhang, Yuezhou, et al.
Publicado: (2022)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
por: Liu, Shuo, et al.
Publicado: (2022)

Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology
por: Leightley, Daniel, et al.
Publicado: (2021)

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19
por: Sun, Shaoxiong, et al.
Publicado: (2020)

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
por: Sun, Shaoxiong, et al.
Publicado: (2023)

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study
por: Matcham, Faith, et al.
Publicado: (2022)

Remote Assessment of Lung Disease and Impact on Physical and Mental Health (RALPMH): Protocol for a Prospective Observational Study
por: Ranjan, Yatharth, et al.
Publicado: (2021)

Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians
por: de Angel, Valeria, et al.
Publicado: (2022)

Remote Assessment of Disease and Relapse in Epilepsy: Protocol for a Multicenter Prospective Cohort Study
por: Bruno, Elisa, et al.
Publicado: (2020)

A systematic review of engagement reporting in remote measurement studies for health symptom tracking
por: White, Katie M., et al.
Publicado: (2022)

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): Recruitment, retention, and data availability in a longitudinal remote measurement study
por: Matcham, F., et al.
Publicado: (2022)

The prevalence of depression in rheumatoid arthritis: a systematic review and meta-analysis
por: Matcham, Faith, et al.
Publicado: (2013)

Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
por: Matcham, Faith, et al.
Publicado: (2016)

Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis
por: Kontaxis, Spyridon, et al.
Publicado: (2023)

Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis
por: Simblett, Sara, et al.
Publicado: (2019)

Patients’ Measurement Priorities for Remote Measurement Technologies to Aid Chronic Health Conditions: Qualitative Analysis
por: Simblett, Sara, et al.
Publicado: (2020)

Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol
por: Matcham, F., et al.
Publicado: (2019)

Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data
por: Snoeijer, Berber T., et al.
Publicado: (2021)

Are depression and anxiety associated with disease activity in rheumatoid arthritis? A prospective study
por: Matcham, Faith, et al.
Publicado: (2016)

Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings
por: Simblett, Sara, et al.
Publicado: (2018)

Symptoms of depression and anxiety predict treatment response and long-term physical health outcomes in rheumatoid arthritis: secondary analysis of a randomized controlled trial
por: Matcham, Faith, et al.
Publicado: (2016)

Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis
por: Kontaxis, Spyridon, et al.
Publicado: (2023)

Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives
por: White, Katie M, et al.
Publicado: (2021)

Digital health tools for the passive monitoring of depression: a systematic review of methods
por: De Angel, Valeria, et al.
Publicado: (2022)

Depression in patients with chronic pain attending a specialised pain treatment centre: prevalence and impact on health care costs
por: Rayner, Lauren, et al.
Publicado: (2016)

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis
por: Siddi, Sara, et al.
Publicado: (2022)

Clinicians’ Perspectives of Wearable Technology to Detect and Monitor Exacerbations of Chronic Obstructive Pulmonary Disease: Mixed-Method Survey
por: Althobiani, Malik A, et al.
Publicado: (2023)

Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study
por: Polhemus, Ashley Marie, et al.
Publicado: (2020)

Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform
por: Meyer, Nicholas, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_ci8dg7tcqfgt5tdqtln16b95eb