Matcham, Faith

The prevalence of depression in rheumatoid arthritis: a systematic review and meta-analysis

Matcham, F., Rayner, L., Steer, S., & Hotopf, M. (2013) · Rheumatology

Rheumatoid Arthritis Research and TherapiesMusculoskeletal pain and rehabilitation

Cited by 928

Depression in patients with chronic pain attending a specialised pain treatment centre: prevalence and impact on health care costs

Rayner, L., Hotopf, M., Petkova, H., Matcham, F., Simpson, A., & McCracken, L. M. (2016) · Pain

Musculoskeletal pain and rehabilitationMental Health Treatment and Access

Cited by 290

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

Digital Health Tools for the Passive Monitoring of Depression: A Systematic Review of Methods

de Angel, V., Lewis, S., White, K., Oetzmann, C., Leightley, D., Oprea, E., Lavelle, G., Matcham, F., Pace, A., Mohr, D. C., et al. (2021) · npj Digital Medicine

Digital Mental Health InterventionsMental Health Research Topics

Cited by 227

Antidepressants for the treatment of depression in people with cancer

Ostuzzi, G., Matcham, F., Dauchy, S., Barbui, C., & Hotopf, M. (2018) · Cochrane Database of Systematic Reviews

Cancer survivorship and careTreatment of Major Depression

Cited by 158

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

A systematic review of anxiety amongst people with Multiple Sclerosis

Butler, E., Matcham, F., & Chalder, T. (2016) · Multiple Sclerosis and Related Disorders

Multiple Sclerosis Research StudiesAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 111

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

Self-help interventions for symptoms of depression, anxiety and psychological distress in patients with physical illnesses: A systematic review and meta-analysis

Matcham, F., Rayner, L., Hutton, J., Monk, A., Steel, C., & Hotopf, M. (2014) · Clinical Psychology Review

Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 85

Antidepressants for the treatment of depression in people with cancer

Vita, G., Compri, B., Matcham, F., Barbui, C., & Ostuzzi, G. (2023) · Cochrane Database of Systematic Reviews

Cancer survivorship and careTreatment of Major Depression

Cited by 73

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 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

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

The prevalence of diabetes mellitus and abnormal glucose metabolism in the inpatient psychiatric setting: a systematic review and meta-analysis

Roberts, E., Jones, L., Blackman, A., Dewhurst, T., Matcham, F., Kan, C., Mustafa, O., Thomas, T., Siddiqi, N., Ismail, K., et al. (2017) · General Hospital Psychiatry

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 23

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