Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review

Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user�...

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Published inJournal of medical Internet research Vol. 23; no. 3; p. e24387
Main Authors Borghouts, Judith, Eikey, Elizabeth, Mark, Gloria, De Leon, Cinthia, Schueller, Stephen M, Schneider, Margaret, Stadnick, Nicole, Zheng, Kai, Mukamel, Dana, Sorkin, Dara H
Format Journal Article
LanguageEnglish
Published Canada JMIR Publications 24.03.2021
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Abstract Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user's uptake and sustained interactions with these interventions. This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs. A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included. A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one's own health. Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.
AbstractList BackgroundDigital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user’s uptake and sustained interactions with these interventions. ObjectiveThis systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs. MethodsA systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included. ResultsA total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one’s own health. ConclusionsAlthough previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.
Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user's uptake and sustained interactions with these interventions. This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs. A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included. A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one's own health. Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.
Author Sorkin, Dara H
De Leon, Cinthia
Schneider, Margaret
Stadnick, Nicole
Schueller, Stephen M
Borghouts, Judith
Eikey, Elizabeth
Mukamel, Dana
Zheng, Kai
Mark, Gloria
AuthorAffiliation 1 University of California Irvine Irvine, CA United States
2 University of California San Diego San Diego, CA United States
AuthorAffiliation_xml – name: 2 University of California San Diego San Diego, CA United States
– name: 1 University of California Irvine Irvine, CA United States
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  surname: Eikey
  fullname: Eikey, Elizabeth
  organization: University of California San Diego, San Diego, CA, United States
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  surname: Mark
  fullname: Mark, Gloria
  organization: University of California Irvine, Irvine, CA, United States
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  surname: De Leon
  fullname: De Leon, Cinthia
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  surname: Schneider
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  orcidid: 0000-0001-6520-2920
  surname: Stadnick
  fullname: Stadnick, Nicole
  organization: University of California San Diego, San Diego, CA, United States
– sequence: 8
  givenname: Kai
  orcidid: 0000-0003-4121-4948
  surname: Zheng
  fullname: Zheng, Kai
  organization: University of California Irvine, Irvine, CA, United States
– sequence: 9
  givenname: Dana
  orcidid: 0000-0003-4147-5785
  surname: Mukamel
  fullname: Mukamel, Dana
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  orcidid: 0000-0003-0742-9240
  surname: Sorkin
  fullname: Sorkin, Dara H
  organization: University of California Irvine, Irvine, CA, United States
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33759801$$D View this record in MEDLINE/PubMed
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Copyright Judith Borghouts, Elizabeth Eikey, Gloria Mark, Cinthia De Leon, Stephen M Schueller, Margaret Schneider, Nicole Stadnick, Kai Zheng, Dana Mukamel, Dara H Sorkin. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.03.2021.
Judith Borghouts, Elizabeth Eikey, Gloria Mark, Cinthia De Leon, Stephen M Schueller, Margaret Schneider, Nicole Stadnick, Kai Zheng, Dana Mukamel, Dara H Sorkin. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.03.2021. 2021
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– notice: Judith Borghouts, Elizabeth Eikey, Gloria Mark, Cinthia De Leon, Stephen M Schueller, Margaret Schneider, Nicole Stadnick, Kai Zheng, Dana Mukamel, Dara H Sorkin. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.03.2021. 2021
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Keywords anxiety
mental health
mobile phone
mHealth
depression
behavior
eHealth
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License Judith Borghouts, Elizabeth Eikey, Gloria Mark, Cinthia De Leon, Stephen M Schueller, Margaret Schneider, Nicole Stadnick, Kai Zheng, Dana Mukamel, Dara H Sorkin. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.03.2021.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
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Snippet Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health...
BACKGROUNDDigital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental...
BackgroundDigital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental...
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Title Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review
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