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A Systematic Literature Review on e-Mental Health Solutions to Assist Health Care Workers During COVID-19.
Drissi, Nidal; Ouhbi, Sofia; Marques, Gonçalo; de la Torre Díez, Isabel; Ghogho, Mounir; Janati Idrissi, Mohammed Abdou.
  • Drissi N; Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
  • Ouhbi S; ENSIAS, Mohammed V University in Rabat, Rabat, Morocco.
  • Marques G; Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
  • de la Torre Díez I; Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain.
  • Ghogho M; Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain.
  • Janati Idrissi MA; TICLab, International University of Rabat, Rabat, Morocco.
Telemed J E Health ; 27(6): 594-602, 2021 06.
Article in English | MEDLINE | ID: covidwho-791936
ABSTRACT

Background:

e-Mental health is an established field of exploiting information and communication technologies for mental health care. It offers different solutions and has shown effectiveness in managing many psychological issues.

Introduction:

The coronavirus disease 2019 (COVID-19) pandemic has critically influenced health care systems and health care workers (HCWs). HCWs are working under hard conditions, and are suffering from different psychological issues, including anxiety, stress, and depression. Consequently, there is an undeniable need of mental care interventions for HCWs. Under the circumstances caused by COVID-19, e-health interventions can be used as tools to assist HCWs with their mental health. These solutions can provide mental health care support remotely, respecting the recommended safety measures. Materials and

Methods:

This study aims to identify e-mental health interventions, reported in the literature, that are developed for HCWs during the COVID-19 pandemic. A systematic literature review was conducted following the PRISMA protocol by searching the following digital libraries IEEE, ACM, ScienceDirect, Scopus, and PubMed. Results and

Discussion:

Eleven publications were selected. The identified e-mental health interventions consisted of social media platforms, e-learning content, online resources and mobile applications. Only 27% of the studies included empirical evaluation of the reported interventions, 55% listed challenges and limitations related to the adoption of the reported interventions. And 45% presented interventions developed specifically for HCWs in China. The overall feedback on the identified interventions was positive, yet a lack of empirical evaluation was identified, especially regarding qualitative evidence.

Conclusions:

The COVID-19 pandemic has highlighted the importance and need for e-mental health solutions for HCWs.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Qualitative research / Reviews / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Journal: Telemed J E Health Journal subject: Medical Informatics / Health Services Year: 2021 Document Type: Article Affiliation country: Tmj.2020.0287

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Qualitative research / Reviews / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Journal: Telemed J E Health Journal subject: Medical Informatics / Health Services Year: 2021 Document Type: Article Affiliation country: Tmj.2020.0287