Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review
Abstract Background Ecological momentary assessments (EMAs) and ecological momentary interventions (EMIs) represent a novel approach for the assessment and delivery of psychological support to depressed patients in daily life. Beyond the classical paper-and-pencil daily diaries, the more recent prog...
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Format: | Article |
Language: | English |
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BMC
2018-12-01
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Series: | Systematic Reviews |
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Online Access: | http://link.springer.com/article/10.1186/s13643-018-0899-y |
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author | Desirée Colombo Azucena Garcia Palacios Javier Fernandez Alvarez Andrea Patané Michelle Semonella Pietro Cipresso Marta Kwiatkowska Giuseppe Riva Cristina Botella |
author_facet | Desirée Colombo Azucena Garcia Palacios Javier Fernandez Alvarez Andrea Patané Michelle Semonella Pietro Cipresso Marta Kwiatkowska Giuseppe Riva Cristina Botella |
author_sort | Desirée Colombo |
collection | DOAJ |
description | Abstract Background Ecological momentary assessments (EMAs) and ecological momentary interventions (EMIs) represent a novel approach for the assessment and delivery of psychological support to depressed patients in daily life. Beyond the classical paper-and-pencil daily diaries, the more recent progresses in Information and Communication Technologies (ICT) enabled researchers to bring all the needed processes together in only one device, i.e., response signaling, repeated symptom collection, information storage, secure data transfer, and psychological support delivery. Despite evidence showing the feasibility and acceptability of these techniques, EMAs are only beginning to be applied in real clinical practice, whether the development of EMIs for clinically depressed patients is still very limited. The objective of this systematic review is to provide the state of the art of technology-based EMAs and EMIs for major depressive disorder (MDD), with the aim of leading the way to possible future directions for the clinical practice. Methods We will conduct a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Data sources will include two bibliographic databases, PubMed and Web of Science (Web of Knowledge), supplemented by searches for unpublished or ongoing studies. Eligible studies will report data for adult (≥ 18 years old) with a primary (both current and past) diagnosis of MDD, defined by a valid criterion standard. We will consider studies adopting technology-based EMAs and EMIs for the investigation and/or assessment of depression and for the delivery of a psychological intervention. We will exclude studies adopting paper-and-pencil tools. Discussion The proposed systematic review will provide new insights on the advantages and benefits of adopting technology-based EMAs and EMIs for MDD in the traditional clinical practice, taking into consideration both clinical and technological issues. The potential of using sensors and biosensors along with machine learning for affective modeling will also be discussed. |
first_indexed | 2024-12-10T04:31:57Z |
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id | doaj.art-2ac2e3a50ecf479ba5872687e4bdc80d |
institution | Directory Open Access Journal |
issn | 2046-4053 |
language | English |
last_indexed | 2024-12-10T04:31:57Z |
publishDate | 2018-12-01 |
publisher | BMC |
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series | Systematic Reviews |
spelling | doaj.art-2ac2e3a50ecf479ba5872687e4bdc80d2022-12-22T02:02:07ZengBMCSystematic Reviews2046-40532018-12-01711710.1186/s13643-018-0899-yCurrent state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic reviewDesirée Colombo0Azucena Garcia Palacios1Javier Fernandez Alvarez2Andrea Patané3Michelle Semonella4Pietro Cipresso5Marta Kwiatkowska6Giuseppe Riva7Cristina Botella8Department of Basic Psychology, Clinic and Psychobiology, Universitat Jaume IDepartment of Basic Psychology, Clinic and Psychobiology, Universitat Jaume IDepartment of Psychology, Università Cattolica del Sacro CuoreDepartment of Computer Science, University of OxfordApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico ItalianoApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico ItalianoDepartment of Computer Science, University of OxfordApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico ItalianoDepartment of Basic Psychology, Clinic and Psychobiology, Universitat Jaume IAbstract Background Ecological momentary assessments (EMAs) and ecological momentary interventions (EMIs) represent a novel approach for the assessment and delivery of psychological support to depressed patients in daily life. Beyond the classical paper-and-pencil daily diaries, the more recent progresses in Information and Communication Technologies (ICT) enabled researchers to bring all the needed processes together in only one device, i.e., response signaling, repeated symptom collection, information storage, secure data transfer, and psychological support delivery. Despite evidence showing the feasibility and acceptability of these techniques, EMAs are only beginning to be applied in real clinical practice, whether the development of EMIs for clinically depressed patients is still very limited. The objective of this systematic review is to provide the state of the art of technology-based EMAs and EMIs for major depressive disorder (MDD), with the aim of leading the way to possible future directions for the clinical practice. Methods We will conduct a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Data sources will include two bibliographic databases, PubMed and Web of Science (Web of Knowledge), supplemented by searches for unpublished or ongoing studies. Eligible studies will report data for adult (≥ 18 years old) with a primary (both current and past) diagnosis of MDD, defined by a valid criterion standard. We will consider studies adopting technology-based EMAs and EMIs for the investigation and/or assessment of depression and for the delivery of a psychological intervention. We will exclude studies adopting paper-and-pencil tools. Discussion The proposed systematic review will provide new insights on the advantages and benefits of adopting technology-based EMAs and EMIs for MDD in the traditional clinical practice, taking into consideration both clinical and technological issues. The potential of using sensors and biosensors along with machine learning for affective modeling will also be discussed.http://link.springer.com/article/10.1186/s13643-018-0899-yEcological momentary assessmentEcological momentary interventionMajor depressive disordermHealth |
spellingShingle | Desirée Colombo Azucena Garcia Palacios Javier Fernandez Alvarez Andrea Patané Michelle Semonella Pietro Cipresso Marta Kwiatkowska Giuseppe Riva Cristina Botella Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review Systematic Reviews Ecological momentary assessment Ecological momentary intervention Major depressive disorder mHealth |
title | Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review |
title_full | Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review |
title_fullStr | Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review |
title_full_unstemmed | Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review |
title_short | Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review |
title_sort | current state and future directions of technology based ecological momentary assessments and interventions for major depressive disorder protocol for a systematic review |
topic | Ecological momentary assessment Ecological momentary intervention Major depressive disorder mHealth |
url | http://link.springer.com/article/10.1186/s13643-018-0899-y |
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