ReviewJMIR mHealth and uHealth2018
Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review.
Review in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Measures of Effectiveness, Efficiency, and Quality of Telemedicine in the Management of Alcohol Abuse, Addiction, and Rehabilitation: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Smartphone Application in Postgraduate Clinical Psychology Training: Trainees' Perspectives.International journal of environmental research and public health · 2019Trial
- A Smartphone App for Attentional Bias Retraining in Smokers: Mixed Methods Pilot Study.JMIR formative research · 2022Article
- Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study.JMIR mHealth and uHealth · 2021Article
- Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study.JMIR mHealth and uHealth · 2021Article
- Perspectives on Modifying Attentional Biases Amongst Individuals with Tobacco Use Disorder Using Technology: A Review.International journal of environmental research and public health · 2019Review
- Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care.Current treatment options in psychiatry · 2018Article
- Suicide Precipitants Differ Across the Lifespan but Are Not Significant in Predicting Medically Severe Attempts.International journal of environmental research and public health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe mobile technology era has ushered in the use of mobile phone apps for behavioral intervention for at-risk drinkers.
objectiveOur objective was to review recent research relevant to mobile phone apps that can be used for behavioral intervention for at-risk drinkers in Australia.
methodsThe inclusion criteria for this review were articles published in peer-reviewed journals from 2001 to 2017 with use of the search terms "smartphone application," "alcohol," "substance," "behavioural intervention," "electronic health," and "mobile health."
resultsIn total, we identified 103 abstracts, screened 90 articles, and assessed 50 full-text articles that fit the inclusion criteria for eligibility. We included 19 articles in this review.
conclusionsThis review highlighted the paucity of evidence-based and empirically validated research into effective mobile phone apps that can be used for behavioral interventions with at-risk drinkers in Australia.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.