@article {Drissi2021594,
	title = {A Systematic Literature Review on e-Mental Health Solutions to Assist Health Care Workers during COVID-19},
	journal = {Telemedicine and e-Health},
	volume = {27},
	number = {6},
	year = {2021},
	note = {cited By 27},
	pages = {594-602},
	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. {\textcopyright} Copyright 2021, Mary Ann Liebert, Inc., publishers 2021.},
	keywords = {China, COVID-19, Digital libraries, e-learning, E-learning contents, Empirical evaluations, Health care, health care personnel, Health care workers, Health Personnel, Health-care system, human, Humans, Information and Communication Technologies, Mental health, Mobile applications, pandemic, Pandemics, SARS-CoV-2, Social media platforms, Systematic literature review},
	doi = {10.1089/tmj.2020.0287},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108029620\&doi=10.1089\%2ftmj.2020.0287\&partnerID=40\&md5=abb17cd8cdd22c6edcf3e914fcc6e8e2},
	author = {Drissi, N. and Ouhbi, S. and Marques, G. and De La Torre D{\'\i}ez, I. and Ghogho, M. and Janati Idrissi, M.A.}
}
@article {Drissi2020,
	title = {An analysis on self-management and treatment-related functionality and characteristics of highly rated anxiety apps},
	journal = {International Journal of Medical Informatics},
	volume = {141},
	year = {2020},
	note = {cited By 19},
	abstract = {Background and objective: Anxiety is a common emotion that people often feel in certain situations. But when the feeling of anxiety is persistent and interferes with a person{\textquoteright}s day to day life then this may likely be an anxiety disorder. Anxiety disorders are a common issue worldwide and can fall under general anxiety, panic attacks, and social anxiety among others. They can be disabling and can impact all aspects of an individual{\textquoteright}s life, including work, education, and personal relationships. It is important that people with anxiety receive appropriate care, which in some cases may prove difficult due to mental health care delivery barriers such as cost, stigma, or distance from mental health services. A potential solution to this could be mobile mental health applications. These can serve as effective and promising tools to assist in the management of anxiety and to overcome some of the aforementioned barriers. The objective of this study is to provide an analysis of treatment and management-related functionality and characteristics of high-rated mobile applications (apps) for anxiety, which are available for Android and iOS systems. Method: A broad search was performed in the Google Play Store and App Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing apps for anxiety. A set of free and highly rated apps for anxiety were identified and the selected apps were then installed and analyzed according to a predefined data extraction strategy. Results: A total of 167 anxiety apps were selected (123 Android apps and 44 iOS apps). Besides anxiety, the selected apps addressed several health issues including stress, depression, sleep issues, and eating disorders. The apps adopted various treatment and management approaches such as meditation, breathing exercises, mindfulness and cognitive behavioral therapy. Results also showed that 51\% of the selected apps used various gamification features to motivate users to keep using them, 32\% provided social features including chat, communication with others and links to sources of help; 46\% offered offline availability; and only 19\% reported involvement of mental health professionals in their design. Conclusions: Anxiety apps incorporate various mental health care management methods and approaches. Apps can serve as promising tools to assist large numbers of people suffering from general anxiety or from anxiety disorders, anytime, anywhere, and particularly in the current COVID-19 pandemic. {\textcopyright} 2020 Elsevier B.V.},
	keywords = {Android (operating system), Anxiety, anxiety disorder, Betacoronavirus, breathing exercise, cognitive behavioral therapy, Cognitive-behavioral therapies, Coronavirus infection, Coronavirus Infections, data extraction, Disease Outbreaks, eating disorder, Eating disorders, epidemic, Health care, human, Humans, iOS (operating system), isolation and purification, language, Mental health, mental health care personnel, mental health service, Mental health services, mobile application, Mobile applications, organization and management, pandemic, Pandemics, Personal relationships, Pneumonia, priority journal, psychology, Review, self care, Self-Management, sleep, Social anxieties, stress, Systematic Review, telemedicine, therapy, Viral, virology, virus pneumonia},
	doi = {10.1016/j.ijmedinf.2020.104243},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088938984\&doi=10.1016\%2fj.ijmedinf.2020.104243\&partnerID=40\&md5=ec0c4f4cdf72007694d3cc8e8f50bb97},
	author = {Drissi, N. and Ouhbi, S. and Janati Idrissi, M.A. and Ghogho, M.}
}
@conference {Drissi2020593,
	title = {Sensor-based solutions for mental healthcare: A systematic literature review},
	booktitle = {HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020},
	year = {2020},
	note = {cited By 2},
	pages = {593-600},
	abstract = {Mental well-being is a crucial aspect of the person{\textquoteright}s general health, compromised mental health impairs the person{\textquoteright}s functioning, decreases the quality of life, and limits the person{\textquoteright}s contribution to society. The mental health industry is still facing some barriers to healthcare delivery such as costs, mental health illiteracy, and stigma. Incorporating technological interventions in the treatment and the diagnosis processes might help overcome these barriers. Sensors are devices that have been used for healthcare since the 1990s and have been incorporated into mental healthcare in different forms. In this study, we conducted a systematic literature review to identify and analyze sensor-based solutions for mental healthcare. 12 studies were identified and analyzed. The majority of the selected studies presented methods and models and were empirically evaluated and showed promising accuracy results. Different types of sensors were used to collect different types of data about the patient such as physical and behavioral information. The selected studies mainly addressed the use of sensors for common mental issues like stress and depression or the analysis of general mental status. Some studies reported some limitations mainly related to technological issues and lack of standards. {\textcopyright} 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.},
	keywords = {Biomedical engineering, Health care, Healthcare delivery, Medical informatics, Mental health, Quality of life, Systematic literature review, Well being},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083705930\&partnerID=40\&md5=335f69fa969e09929802b364d7f6d696},
	author = {Drissi, N. and Ouhbi, S. and Garc{\'\i}a-Bern{\'a}, J.A. and Idrissi, M.A.J. and Ghogho, M.}
}
@article {Ouhbi2018,
	title = {Sustainability requirements for connected health applications},
	journal = {Journal of Software: Evolution and Process},
	volume = {30},
	number = {7},
	year = {2018},
	doi = {10.1002/smr.1922},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050354987\&doi=10.1002\%2fsmr.1922\&partnerID=40\&md5=70c90bb949fb18d52004aec275734df0},
	author = {Ouhbi, S. and Fernandez-Aleman, J.L. and Toval, A. and Rivera~Pozo, J. and Idri, A.}
}
@article {Ouhbi201749,
	title = {E-health internationalization requirements for audit purposes},
	journal = {Computer Methods and Programs in Biomedicine},
	volume = {144},
	year = {2017},
	note = {cited By 1},
	pages = {49-60},
	abstract = {Background and objective: In the 21st century, e-health is proving to be one of the strongest drivers for the global transformation of the health care industry. Health information is currently truly ubiquitous and widespread, but in order to guarantee that everyone can appropriately access and understand this information, regardless of their origin, it is essential to bridge the international gap. The diversity of health information seekers languages and cultures signifies that e-health applications must be adapted to satisfy their needs. Methods: In order to achieve this objective, current and future e-health programs should take into account the internationalization aspects. This paper presents an internationalization requirements specification in the form of a reusable requirements catalog, obtained from the principal related standards, and describes the key methodological elements needed to perform an e-health software audit by using the internationalization knowledge previously gathered. Results: S Health, a relevant, well-known Android application that has more than 150 million users in over 130 countries, was selected as a target for the e-health internationalization audit method and requirements specification presented above. This application example helped us to put into practice the proposal and show that the procedure is realistic and effective. Conclusions: The approach presented in this study is subject to continuous improvement through the incorporation of new knowledge originating from additional information sources, such as other standards or stakeholders. The application example is useful for early evaluation and serves to assess the applicability of the internationalization catalog and audit methodology, and to improve them. It would be advisable to develop of an automated tool with which to carry out the audit method. {\textcopyright} 2017 Elsevier B.V.},
	doi = {10.1016/j.cmpb.2017.03.014},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016069397\&doi=10.1016\%2fj.cmpb.2017.03.014\&partnerID=40\&md5=4cdb24852f0764dc64c9ed73f5614eda},
	author = {Ouhbi, S. and Fernandez-Aleman, J.L. and Carrillo-De-Gea, J.M. and Toval, A. and Idri, A.}
}
@conference {Kadi2017,
	title = {Quality evaluation of cardiac decision support systems using ISO 25010 standard},
	booktitle = {Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA},
	year = {2017},
	note = {cited By 0},
	abstract = {Clinical decision support system (CDSS) is a technology designed to assist physicians and medical stuff with clinical decision-making tasks. It aims to better the safety and quality of patient care, improve patient care treatments and outcomes, decrease the dependence on memory, lower error rates, and decrease response time. CDSS is not intended to replace clinician judgment, but it supports users with the detection and prevention of possible risks to patient safety and encouraging the appropriate usage of evidence-based practice and guidelines. The benefits of the CDSSs contribute in increasing the number of e-health applications in recent years. Cardiology healthcare institutions are adopting such systems in their departments in order to assist cardiologists when making their decisions. This study proposes a set of cardiac DSS requirements and measures the influence of these requirements on software product quality using the ISO/IEC 25010 software quality model. A checklist of cardiac DSS requirements is also presented. As a result, Functional suitability, Reliability, Performance efficiency and Operability external characteristics were identified as the most influenced by cardiac DSS requirements. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/AICCSA.2016.7945657},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021912425\&doi=10.1109\%2fAICCSA.2016.7945657\&partnerID=40\&md5=92b7b2292f1248fc9c7033b5d5bfe20e},
	author = {Kadi, I. and Idri, A. and Ouhbi, S.}
}
@conference {Ouhbi2017557,
	title = {Requirements for a mobile personal health record to improve cardiovascular healthcare services},
	booktitle = {Proceedings of the ACM Symposium on Applied Computing},
	volume = {Part F128005},
	year = {2017},
	note = {cited By 1},
	pages = {557-562},
	abstract = {Analyzing health records of patients suffering from chronic diseases such as cardiovascular disease can help understanding their conditions and therefore improving healthcare services offered to them. To improve the cardiology healthcare quality and efficiency in the Autonomic Nervous System centre in Avicenne Hospital in Rabat in Morocco, a mobile personal health record (mPHR) along with an electronic health record have been developed. This paper presents our mPHR{\textquoteright}s functional requirements used in the product development. It also presents some aspects of quality evaluation of the mPHR. An experiment has been conducted to assess and improve the mPHR{\textquoteright}s quality using the ISO/IEC 25010 standard. Copyright 2017 ACM.},
	doi = {10.1145/3019612.3019725},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020871426\&doi=10.1145\%2f3019612.3019725\&partnerID=40\&md5=6cf797c1b1a37c7309de64935405f2e8},
	author = {Ouhbi, S. and Idri, A. and Hakmi, R. and Benjelloun, H. and Fernandez-Aleman, J.L. and Toval, A.}
}
@conference {Ouhbi2017285,
	title = {A reusable requirements catalog for internationalized and sustainable blood donation apps},
	booktitle = {ENASE 2017 - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering},
	year = {2017},
	note = {cited By 0},
	pages = {285-292},
	abstract = {Blood donation mobile applications are efficient tools to increase awareness about the importance of blood donation acts and to attract blood donors. The aim of this paper is to define a reusable requirements repository (catalog) for blood donation applications based on the main related software engineering standards, e-health technology standards and literature. The catalog contains requirements regarding internationalization to bridge the cultural and language barriers among blood donors. It includes also requirements for sustainable blood donation applications which cover the individual, social, environmental, and technical dimensions of sustainability. This catalog can be very useful to develop, evaluate and audit blood donation applications and it can be adapted to other m-health applications. {\textcopyright} 2017 by SCITEPRESS - Science and Technology Publications, Lda. All Rights Reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025445810\&partnerID=40\&md5=b3c2b8763e5f5a729522529e5ca3e148},
	author = {Ouhbi, S. and Fernandez-Aleman, J.L. and Idri, A. and Toval, A. and Pozo, J.R. and Bajta, M.E.}
}
