Simblett, Sara

Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings

Simblett, S., Greer, B., Matcham, F., Curtis, H., Polhemus, A., Ferrão, J., Gamble, P., & Wykes, T. (2018) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 270

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Sun, S., Folarin, A. A., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Cummins, N., Matcham, F., Dalla Costa, G., Simblett, S., et al. (2020) · Journal of Medical Internet Research

Human Mobility and Location-Based AnalysisCOVID-19 Digital Contact Tracing

Cited by 256

Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals

Bruno, E., Simblett, S., Lang, A., Biondi, A., Odoi, C., Schulze-Bonhage, A., Wykes, T., & Richardson, M. P. (2018) · Epilepsy & Behavior

Epilepsy research and treatmentMobile Health and mHealth Applications

Cited by 191

Digital Exclusion Among Mental Health Service Users: Qualitative Investigation

Greer, B., Robotham, D., Simblett, S., Curtis, H., Griffiths, H., & Wykes, T. (2019) · Journal of Medical Internet Research

Digital Accessibility for DisabilitiesHealth Literacy and Information Accessibility

Cited by 135

Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis

Simblett, S., Matcham, F., Siddi, S., Bulgari, V., Barattieri di San Pietro, C., Hortas López, J., Ferrão, J., Polhemus, A., Haro, J. M., de Girolamo, G., et al. (2019) · JMIR mHealth and uHealth

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 120

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

Matcham, F., Leightley, D., Siddi, S., Lamers, F., White, K. M., Annas, P., de Girolamo, G., Difrancesco, S., Haro, J. M., Horsfall, M., et al. (2022) · BMC Psychiatry

Digital Mental Health InterventionsMental Health Research Topics

Cited by 110

Neuropsychological Rehabilitation: The International Handbook

Rezapour, T., Wurfel, B. E., Simblett, S. K., & Ekhtiari, H. (2017) · Routledge eBooks

Traumatic Brain Injury ResearchCognitive Functions and Memory

Cited by 108

Dimensions of the Dysexecutive Questionnaire (DEX) examined using Rasch analysis

Simblett, S. K., & Bateman, A. (2011) · Neuropsychological Rehabilitation

Cognitive Functions and MemoryPsychometric Methodologies and Testing

Cited by 75

Predicting depressive symptom severity through individuals’ nearby Bluetooth device count data collected by mobile phones: preliminary longitudinal study

Zhang, Y., Folarin, A. A., Sun, S., Cummins, N., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Laiou, P., Matcham, F., et al. (2021) · JMIR mHealth and uHealth

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 68

Patient perspectives on the acceptability of mHealth technology for remote measurement and management of epilepsy: A qualitative analysis

Simblett, S. K., Bruno, E., Siddi, S., Matcham, F., Giuliano, L., López, J. H., Biondi, A., Curtis, H., Ferrão, J., Polhemus, A., et al. (2019) · Epilepsy & Behavior

Mobile Health and mHealth ApplicationsEpilepsy research and treatment

Cited by 54

The Dysexecutive Questionnaire Revised (DEX-R): An Extended Measure of Everyday Dysexecutive Problems After Acquired Brain Injury

Simblett, S. K., Ring, H., & Bateman, A. (2017) · Neuropsychological Rehabilitation

Historical and Modern Theater StudiesCognitive Functions and Memory

Cited by 36

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Siddi, S., Bailon, R., Giné-Vázquez, I., Matcham, F., Lamers, F., Kontaxis, S., Laporta, E., Garcia, E., Lombardini, F., Annas, P., et al. (2023) · Psychological Medicine

Heart Rate Variability and Autonomic ControlMental Health Research Topics

Cited by 31

Computerized Cognitive Behavioral Therapy to Treat Emotional Distress After Stroke: A Feasibility Randomized Controlled Trial

Simblett, S. K., Yates, M., Wagner, A. P., Watson, P., Gracey, F., Ring, H., & Bateman, A. (2017) · JMIR Mental Health

Digital Mental Health InterventionsStroke Rehabilitation and Recovery

Cited by 26

Technology-based interventions for mental health support after stroke: A systematic review of their acceptability and feasibility

Shek, A. C., Biondi, A., Ballard, D., Wykes, T., & Simblett, S. K. (2021) · Neuropsychological Rehabilitation

Digital Mental Health InterventionsStroke Rehabilitation and Recovery

Cited by 25

The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature

Girolamo, G., Barattieri di San Pietro, C., Bulgari, V., Dagani, J., Ferrari, C., Hotopf, M., Iannone, G., Macis, A., Matcham, F., Myin‐Germeys, I., et al. (2020) · Depression and Anxiety

Mental Health Research TopicsDigital Mental Health Interventions

Cited by 24

A Framework for Recruiting into a Remote Measurement Technologies (RMTs) study: Experiences from a major depressive disorder cohort

Oetzmann, C., White, K. M., Ivan, A., Julie, J., Leightley, D., Lavelle, G., Lamers, F., Siddi, S., Annas, P., Garcia, S. A., et al. (2021)

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 5