Evidence map›Paper›PMID 34036050›Full record

ArticleInternet interventions2021

Crowdsourcing to design a marketing package to promote a WHO digital mental health intervention among Chinese young adults.

Rui Ling, Hao Fong Sit, Suvasini Balaji, Agnes I F Lam, Carl A Latkin, Joseph D Tucker, Brian J Hall

Abstract read
In one paragraph

Article in Internet interventions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rui LingGlobal and Community Mental Health Research Group, New York University (Shanghai), Shanghai, People's Republic of China.
Hao Fong SitGlobal and Community Mental Health Research Group, New York University (Shanghai), Shanghai, People's Republic of China.
Suvasini BalajiGlobal and Community Mental Health Research Group, New York University (Shanghai), Shanghai, People's Republic of China.
Agnes I F LamCentre for Macau Studies, University of Macau, Macao.
Carl A LatkinFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Joseph D TuckerUNC Project China, University of North Carolina at Chapel Hill, USA.
Brian J HallGlobal and Community Mental Health Research Group, New York University (Shanghai), Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital mental health is an emerging field that can leverage technology and mobile apps to deliver mental health treatment to populations in areas with limited mental health services. Despite widespread availability of these apps, uptake remains low. Enhanced marketing is necessary to increase public engagement. There is growing recognition that mental health intervention beneficiaries should be engaged in all phases of treatment development, adaptation, and delivery. Crowdsourcing - consulting the public to solve problems and sharing the solutions - can foster community-informed ideas for public health, but has yet been applied to digital mental health marketing.

objectiveWith the goal of engaging potential intervention beneficiaries in digital mental health dissemination, the current project implemented a digital mental health crowdsourcing designathon for Chinese college students in Macao SAR, China and evaluated the feasibility of the contest and the products. The contest asked participants to design marketing packages for Step-by-Step, a scalable WHO digital mental health intervention focusing on depression.

methodsDesignathon participants, recruited from a global health class, were sorted into teams with balanced areas of expertise. Two judging panels - one of experts in relevant fields and another of Chinese college students - evaluated the marketing packages and selected finalists. The designathon was held in-person over four days and involved debriefing, workshops, a contest, and an awards ceremony. A parallel mixed-methods approach was applied, including qualitative feedback from judges and participants alongside quantitative data on participant satisfaction and depressive symptoms to enrich our understanding of the event. Additionally, based on judges' feedback given to participants, the communication packages of the contest were ranked.

results49 participants (8 teams of 6-7 members each) were involved in the designathon. Using a cutoff score of 10 on the Patient Health Questionnaire-9 (PHQ-9), 11.4% of participants had moderate or higher depressive symptoms. All teams successfully produced complete digital mental health marketing packages. Four finalists' packages were selected quantitatively with judges' scores and the top finalist's package was described by judges' comments as simple, thoughtful, and appealing, although not informative enough. Participants were overall satisfied with the designathon, but some mentioned that time was insufficient and that organization/instruction clarity could have been improved.

conclusionsThe designathon is a novel, feasible strategy to collect crowd input for the dissemination of a mental health intervention. Compared with traditional communication strategies, this bottom-up approach included and engaged potential intervention beneficiaries to take an active role in creating digital mental health marketing communication. Future contests should allow participants more time and reconsider aspects of event organization.

Indexed as

ChineseCommunityCrowdsourcingDesignathonDigital mental healthWHO

Identifiers

PMID34036050
PMCPMC8138601

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.