Evidence map›Paper›PMID 29339346›Full record

ArticleJMIR serious games2018

User-Centered Design of Learn to Quit, a Smoking Cessation Smartphone App for People With Serious Mental Illness.

Roger Vilardaga, Javier Rizo, Emily Zeng, Julie A Kientz, Richard Ries, Chad Otis, Kayla Hernandez

Abstract read
In one paragraph

Article in JMIR serious games, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 7 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

56 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Trial
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  11. Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  12. Trial
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024
    Review
  19. Introducing Quin: The Design and Development of a Prototype Chatbot to Support Smoking Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  20. Article
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.

Roger VilardagaCenter for Addiction Science and Technology, Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States.ORCID http://orcid.org/0000-0002-7252-4343
Javier RizoCenter for Addiction Science and Technology, Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States.ORCID http://orcid.org/0000-0002-7874-0856
Emily ZengDesign Use Build, Department of Human Centered Design and Engineering, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-0299-5078
Julie A KientzDesign Use Build, Department of Human Centered Design and Engineering, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0001-7437-7861
Richard RiesDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-3307-6672
Chad OtisChad Otis Illustration & Design, Seattle, WA, United States.ORCID http://orcid.org/0000-0001-8049-7309
Kayla HernandezCenter for Addiction Science and Technology, Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States.ORCID http://orcid.org/0000-0002-2930-0192

Funding

Innovative Smartphone Application for Quitting Smoking among Seriously Mentally IIIR00DA037276 · NIDA · DUKE UNIVERSITY · PI VILARDAGA, ROGER · 2016 to 2018
$747k
Innovative Smartphone Application for Quitting Smoking among Seriously Mentally IK99DA037276 · NIDA · UNIVERSITY OF WASHINGTON · PI VILARDAGA, ROGER · 2014 to 2015
$344k
NIDA NIH HHS K99 DA037276NIDA NIH HHS R00 DA037276
6 · The paper itself

Abstract

backgroundSmoking rates in the United States have been reduced in the past decades to 15% of the general population. However, up to 88% of people with psychiatric symptoms still smoke, leading to high rates of disease and mortality. Therefore, there is a great need to develop smoking cessation interventions that have adequate levels of usability and can reach this population.

objectiveThe objective of this study was to report the rationale, ideation, design, user research, and final specifications of a novel smoking cessation app for people with serious mental illness (SMI) that will be tested in a feasibility trial.

methodsWe used a variety of user-centered design methods and materials to develop the tailored smoking cessation app. This included expert panel guidance, a set of design principles and theory-based smoking cessation content, development of personas and paper prototyping, usability testing of the app prototype, establishment of app's core vision and design specification, and collaboration with a software development company.

resultsWe developed Learn to Quit, a smoking cessation app designed and tailored to individuals with SMI that incorporates the following: (1) evidence-based smoking cessation content from Acceptance and Commitment Therapy and US Clinical Practice Guidelines for smoking cessation aimed at providing skills for quitting while addressing mental health symptoms, (2) a set of behavioral principles to increase retention and comprehension of smoking cessation content, (3) a gamification component to encourage and sustain app engagement during a 14-day period, (4) an app structure and layout designed to minimize usability errors in people with SMI, and (5) a set of stories and visuals that communicate smoking cessation concepts and skills in simple terms.

conclusionsDespite its increasing importance, the design and development of mHealth technology is typically underreported, hampering scientific innovation. This report describes the systematic development of the first smoking cessation app tailored to people with SMI, a population with very high rates of nicotine addiction, and offers new design strategies to engage this population. mHealth developers in smoking cessation and related fields could benefit from a design strategy that capitalizes on the role visual engagement, storytelling, and the systematic application of behavior analytic principles to deliver evidence-based content.

Indexed as

acceptance and commitment therapygamificationmHealthserious mental illnesssmoking cessationuser-centered design

Identifiers

PMID29339346
PMCPMC5790963

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.