Literature DB >> 35529806

Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages.

Rachel Kornfield1, David C Mohr1, Rachel Ranney2, Emily G Lattie1, Jonah Meyerhoff1, Joseph J Williams3, Madhu Reddy4.   

Abstract

Digital tools can support individuals managing mental health concerns, but delivering sufficiently engaging content is challenging. This paper seeks to clarify how individuals with mental health concerns can contribute content to improve push-based mental health messaging tools. We recruited crowdworkers with mental health symptoms to evaluate and revise expert-composed content for an automated messaging tool, and to generate new topics and messages. A second wave of crowdworkers evaluated expert and crowdsourced content. Crowdworkers generated topics for messages that had not been prioritized by experts, including self-care, positive thinking, inspiration, relaxation, and reassurance. Peer evaluators rated messages written by experts and peers similarly. Our findings also suggest the importance of personalization, particularly when content adaptation occurs over time as users interact with example messages. These findings demonstrate the potential of crowdsourcing for generating diverse and engaging content for push-based tools, and suggest the need to support users in meaningful content customization.

Entities:  

Keywords:  crowdsourcing; digital health interventions; mental health; mixed-methods research; peer-to-peer support; personalization

Year:  2022        PMID: 35529806      PMCID: PMC9075816          DOI: 10.1145/3512946

Source DB:  PubMed          Journal:  Proc ACM Hum Comput Interact


  82 in total

1.  Involving service users in intervention design: a participatory approach to developing a text-messaging intervention to reduce repetition of self-harm.

Authors:  Christabel Owens; Paul Farrand; Ruth Darvill; Tobit Emmens; Elaine Hewis; Peter Aitken
Journal:  Health Expect       Date:  2010-09-23       Impact factor: 3.377

2.  Understanding Mental Ill-health as Psychosocial Disability: Implications for Assistive Technology.

Authors:  Kathryn E Ringland; Jennifer Nicholas; Rachel Kornfield; Emily G Lattie; David C Mohr; Madhu Reddy
Journal:  ASSETS       Date:  2019-10

3.  A brief measure for assessing generalized anxiety disorder: the GAD-7.

Authors:  Robert L Spitzer; Kurt Kroenke; Janet B W Williams; Bernd Löwe
Journal:  Arch Intern Med       Date:  2006-05-22

4.  The future of mental health care: peer-to-peer support and social media.

Authors:  J A Naslund; K A Aschbrenner; L A Marsch; S J Bartels
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-08       Impact factor: 6.892

5.  Crowdsourced peer- versus expert-written smoking-cessation messages.

Authors:  Heather L Coley; Rajani S Sadasivam; Jessica H Williams; Julie E Volkman; Yu-Mei Schoenberger; Connie L Kohler; Heather Sobko; Midge N Ray; Jeroan J Allison; Daniel E Ford; Gregg H Gilbert; Thomas K Houston
Journal:  Am J Prev Med       Date:  2013-11       Impact factor: 5.043

6.  Participating in online mental health interventions: who is most likely to sign up and why?

Authors:  Dimity A Crisp; Kathleen M Griffiths
Journal:  Depress Res Treat       Date:  2014-04-02

7.  Efficacy of a Web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: randomized controlled trial.

Authors:  Robert R Morris; Stephen M Schueller; Rosalind W Picard
Journal:  J Med Internet Res       Date:  2015-03-30       Impact factor: 5.428

8.  A fully automated conversational agent for promoting mental well-being: A pilot RCT using mixed methods.

Authors:  Kien Hoa Ly; Ann-Marie Ly; Gerhard Andersson
Journal:  Internet Interv       Date:  2017-10-10

9.  Seven lessons for interdisciplinary research on interactive digital health interventions.

Authors:  Ann Blandford; Jo Gibbs; Nikki Newhouse; Olga Perski; Aneesha Singh; Elizabeth Murray
Journal:  Digit Health       Date:  2018-05-03

10.  Exploratory study on the role of emotion regulation in perceived valence, humour, and beneficial use of depressive internet memes in depression.

Authors:  Umair Akram; Jennifer Drabble; Glhenda Cau; Frayer Hershaw; Ashileen Rajenthran; Mollie Lowe; Carissa Trommelen; Jason G Ellis
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

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  1 in total

1.  Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.

Authors:  Rachel Kornfield; Jonah Meyerhoff; Hannah Studd; Ananya Bhattacharjee; Joseph J Williams; Madhu Reddy; David C Mohr
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2022-04-29
  1 in total

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