Literature DB >> 28901543

Role of mHealth in overcoming the occurrence of post-stroke depression.

J J Miranda1,2, M G Moscoso1, M Toyama1, V Cavero1, F Diez-Canseco1, B Ovbiagele3.   

Abstract

Depression associated with stroke affects roughly one-third of stroke survivors. Post-stroke depression (PSD) is thought to adversely influence functional outcome by limiting participation in rehabilitation, decreasing physical, social, and cognitive function, and affecting neuroplasticity thereby placing stroke survivors at high risk for future vascular events. PSD has also been associated with higher mortality rates after stroke. In Peru, a country where there is no national stroke program and mental health disorders are largely underdiagnosed and untreated, people with PSD are likely to be further challenged by dependency and impoverished conditions that will limit their use of ambulatory services, leading to inadequate clinical follow-up. In this scenario, mobile health (mHealth) technology offers a promising approach to extend access to high-quality and culturally tailored evidence-based psychological care to address PSD given that cell phone use, Internet connectivity, and digital health technology have met a rapid growth in the last years and thus contribute to the attainment of broader Sustainable Development Goals (SDGs). The limited evidence of the effectiveness of mHealth for PSD calls for researchers to fill a knowledge gap where Peru poses as an ideal setting because rapid expansion of digital technology and current mental healthcare reform could be leveraged to enhance post-stroke outcomes. This article proposes the rationale for a suitable evidence-driven, mHealth-based, PSD self-management intervention called iMOODS-Investigating the role of mHealth in overcoming occurrence of depression after stroke-that could be tested among recent stroke patients with PSD in resource constrained settings.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  depression; implementation; mHealth; stroke

Mesh:

Year:  2017        PMID: 28901543      PMCID: PMC5716920          DOI: 10.1111/ane.12832

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.915


  83 in total

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3.  Mobile message for a better stroke recognition: the new concept of national campaign.

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4.  Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions.

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Review 6.  Psychological management of post-stroke depression.

Authors:  I I Kneebone; E Dunmore
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7.  Performance of the PHQ-9 as a screening tool for depression after stroke.

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Journal:  Stroke       Date:  2001-10       Impact factor: 7.914

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Journal:  Stroke       Date:  2004-02-05       Impact factor: 7.914

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Review 2.  Multimorbidity.

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Review 3.  Telehealth Interventions to Support Self-Management in Stroke Survivors: A Systematic Review.

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4.  Development of a framework for the implementation of synchronous e-mental health: a protocol for a realist synthesis of systematic reviews.

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Journal:  F1000Res       Date:  2020-10-29

Review 5.  Development of a Framework for the Implementation of Synchronous Digital Mental Health: Realist Synthesis of Systematic Reviews.

Authors:  David Villarreal-Zegarra; Christoper A Alarcon-Ruiz; G J Melendez-Torres; Roberto Torres-Puente; Alba Navarro-Flores; Victoria Cavero; Juan Ambrosio-Melgarejo; Jefferson Rojas-Vargas; Guillermo Almeida; Leonardo Albitres-Flores; Alejandra B Romero-Cabrera; Jeff Huarcaya-Victoria
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6.  Accuracy and Validity of a Single Inertial Measurement Unit-Based System to Determine Upper Limb Kinematics for Medically Underserved Populations.

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7.  The efficacy of therapies for post-stroke depression in aging: An umbrella review.

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Review 8.  Mechanisms of Transcranial Magnetic Stimulation Treating on Post-stroke Depression.

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  8 in total

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