Current state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review.

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dc.contributor.authorColombo, Desirée
dc.contributor.authorPalacios, Azucena Garcia
dc.contributor.authorAlvarez, Javier Fernandez
dc.contributor.authorPatané, Andrea
dc.contributor.authorSemonella, Michelle
dc.contributor.authorCipresso, Pietro
dc.contributor.authorKwiatkowska, Marta
dc.contributor.authorRiva, Giuseppe
dc.contributor.authorBotella, Cristina
dc.date.accessioned2020-06-08T14:33:00Z
dc.date.available2020-06-08T14:33:00Z
dc.date.issued0000-00-00
dc.description.abstractBACKGROUND 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will include two bibliographic databases PubMed and Web of Science Web of Knowledge supplemented by searches for unpublished or ongoing studies Eligible studies will report data for adult 18 years old with a primary both current and past diagnosis of MDD defined by a valid criterion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
dc.identifier.urihttp://dx.doi.org/10.1186/s13643-018-0899-y
dc.identifier.urihttps://lib.digitalsquare.io/handle/123456789/64573
dc.relation.uriSystematic reviews
dc.titleCurrent state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review.en
dcterms.abstractBACKGROUND 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
dcterms.contributorColombo, Desirée
dcterms.contributorPalacios, Azucena Garcia
dcterms.contributorAlvarez, Javier Fernandez
dcterms.contributorPatané, Andrea
dcterms.contributorSemonella, Michelle
dcterms.contributorCipresso, Pietro
dcterms.contributorKwiatkowska, Marta
dcterms.contributorRiva, Giuseppe
dcterms.contributorBotella, Cristina
dcterms.identifierhttp://dx.doi.org/10.1186/s13643-018-0899-y
dcterms.relationSystematic reviews
dcterms.titleCurrent state and future directions of technology-based ecological momentary assessments and interventions for major depressive disorder: protocol for a systematic review.en
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