Trial reportJMIR mHealth and uHealth2019
A Smartphone App to Assist Smoking Cessation Among Aboriginal Australians: Findings From a Pilot Randomized Controlled Trial.
Trial report in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 8 of them syntheses that pooled 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.
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.
Who cites it
44 citing papers in PubMed, 8 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Korean Clinical Practice Guideline of Korean Society for Research on Nicotine and Tobacco (KSRNT) and National Evidence-based Healthcare Collaborating Agency (NECA) on Treatment of Tobacco Use 2024.Journal of Korean medical science · 2025Guideline
- Expanding our understanding of digital mental health interventions for Indigenous youth: An updated systematic review.Journal of telemedicine and telecare · 2025Pooled it
- Understanding the mechanisms of change in social norms around tobacco use: A systematic review and meta-analysis of interventions.Addiction (Abingdon, England) · 2025Pooled it
- Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- How Older Indigenous Women Living in High-Income Countries Use Digital Health Technology: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Barriers to and Facilitators of Digital Health Among Culturally and Linguistically Diverse Populations: Qualitative Systematic Review.Journal of medical Internet research · 2023Pooled it
- Inventory and Analysis of Controlled Trials of Mobile Phone Applications Targeting Substance Use Disorders: A Systematic Review.Frontiers in psychiatry · 2021Pooled it
- Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Uptake of an App-Based Case Management Service for HIV-Positive Men Who Have Sex With Men in China: Process Evaluation Study.Journal of medical Internet research · 2023Trial
- Predicting the Users' Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis.European addiction research · 2023Trial
- A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland.BMC public health · 2022Trial
- Effect of Electronic Portal Messaging With Embedded Asynchronous Care on Physician-Assisted Smoking Cessation Attempts: A Randomized Clinical Trial.JAMA network open · 2022Trial
- A pilot randomized trial of a virtual perioperative smoking cessation bundle in a tertiary care hospital.Canadian journal of surgery. Journal canadien de chirurgieTrial
- Article
- Review
- Aboriginal and Torres Strait Islander People Who Smoke and Want to Quit-A Cohort Profile From the Koori Quit Pack study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Koori Quit Pack: A Feasibility Study of a Multi-Component Mailout Smoking Cessation Support for Aboriginal and Torres Strait Islander People: "I Would Recommend it to Anybody. It's Just so Much Easier."Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- The impact of gamification on smoking cessation: A systematic review and meta-analysis.Tobacco induced diseases · 2025Review
- Can a smoking cessation app benefit individuals in disadvantaged areas? A qualitative study on motivation, barriers, and perceptions of a digital app.Preventive medicine reports · 2024Article
- Scoping review of telehealth use by Indigenous populations from Australia, Canada, New Zealand, and the United States.Journal of telemedicine and telecare · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) apps have the potential to increase smoking cessation, but little research has been conducted with Aboriginal communities in Australia.
objectiveWe conducted a pilot study to assess the feasibility and acceptability and explore the effectiveness of a novel mHealth app to assist Aboriginal people to quit smoking.
methodsA pilot randomized controlled trial (RCT) and process evaluation comprising usage analytics data and in-depth interviews was conducted. Current Aboriginal smokers (>16 years old), who were willing to make a quit attempt in the next month, were recruited from Aboriginal Community Controlled Health Services and a government telephone coaching service. The intervention was a multifaceted Android or iOS app comprising a personalized profile and quit plan, text and in-app motivational messages, and a challenge feature allowing users to compete with others. The comparator was usual cessation support services. Outcome data collection and analysis were conducted blinded to treatment allocation. The primary outcome was self-reported continuous smoking abstinence verified by carbon monoxide breath testing at 6 months. Secondary outcomes included point prevalence of abstinence and use of smoking cessation therapies and services.
resultsA total of 49 participants were recruited. Competing service delivery priorities, the lack of resources for research, and lack of support for randomization to a control group were the major recruitment barriers. At baseline, 23/49 (47%) of participants had tried to quit in recent weeks. At 6-month follow-up, only 1 participant (intervention arm) was abstinent. The process evaluation highlighted low to moderate app usage (3-10 new users per month and 4-8 returning users per month), an average of 2.9 sessions per user per month and 6.3 min per session. Key themes from interviews with intervention participants (n=15) included the following: (1) the powerful influence of prevailing social norms around acceptability of smoking; (2) high usage of mobile devices for phone, text, and social media but very low use of other smartphone apps; (3) the role of family and social group support in supporting quit attempts; and (4) low awareness and utilization of smoking cessation support services. Despite the broad acceptability of the app, participants also recommended technical improvements to improve functionality, greater customization of text messages, integration with existing social media platforms, and gamification features.
conclusionsSmoking cessation apps need to be integrated with commonly used functions of mobile phones and draw on social networks to support their use. Although they have the potential to increase utilization of cessation support services and treatments, more research is needed to identify optimal implementation models. Robust evaluation is critical to determine their impact; however, an RCT design may not be feasible in this setting.
trial registrationAustralian and New Zealand Clinical Trials Registry ACTRN12616001550493; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371792 (Archived by WebCite at http://www.webcitation.org/76TiV7HA6).
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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.