ArticleJMIR mHealth and uHealth2019
Health Benefits and Cost-Effectiveness From Promoting Smartphone Apps for Weight Loss: Multistate Life Table Modeling.
Article 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 27 papers, 3 of them syntheses that pooled it.
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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
27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- The cost-effectiveness of digital health interventions: A systematic review of the literature.Frontiers in public health · 2022Pooled it
- A Systematic Review of Methods to Predict Weight Trajectories in Health Economic Models of Behavioral Weight-Management Programs: The Potential Role of Psychosocial Factors.Medical decision making : an international journal of the Society for Medical Decision Making · 2020Pooled it
- Improving weight loss among young adults with excess body weight using a theory-driven digital self-regulation program: a randomized controlled trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2026Trial
- The mLIFE randomized trial examining the impact of gamifying social support provision for weight loss.Obesity (Silver Spring, Md.) · 2025Trial
- The impact of the Change4Life Food Scanner app on children's diets and parental psychological outcomes: a randomised pilot and feasibility study.BMC public health · 2025Trial
- Long-Term Cost and Health Impact of a Digital Obesity Intervention in Germany: Economic Modeling Study.JMIR formative research · 2026Article
- Article
- The Mobile lifestyle intervention for food and exercise (mLife) study: Protocol of a remote behavioral weight loss randomized clinical trial for type 2 diabetes prevention.Contemporary clinical trials · 2025Article
- Estimated health impacts of reformulation resulting from Health Star Rating nutrition labelling in Aotearoa New Zealand.Journal of the Royal Society of New Zealand · 2025Article
- Design and Psychometric Evaluation of Nurses' Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory.JMIR human factors · 2024Article
- Estimated reduction in obesity prevalence and costs of a 20% and 30% ad valorem excise tax to sugar-sweetened beverages in Brazil: A modeling study.PLoS medicine · 2024Article
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- Article
- Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration.Applied health economics and health policy · 2023Article
- Health economic evaluation of preventive digital public health interventions using decision-analytic modelling: a systematized review.BMC health services research · 2023Review
- The neglected potential of red and processed meat replacement with alternative protein sources: Simulation modelling and systematic review.EClinicalMedicine · 2023Article
- Prioritization of intervention domains to prevent cardiovascular disease: a country-level case study using global burden of disease and local data.Population health metrics · 2023Article
- Economic and health impacts of the Change4Life Food Scanner app: Findings from a randomized pilot and feasibility study.Frontiers in nutrition · 2023Article
- Is the cost-effectiveness of an early-childhood sleep intervention to prevent obesity affected by socioeconomic position?Obesity (Silver Spring, Md.) · 2023Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity is an important risk factor for many chronic diseases. Mobile health interventions such as smartphone apps can potentially provide a convenient low-cost addition to other obesity reduction strategies.
objectiveThis study aimed to estimate the impacts on quality-adjusted life-years (QALYs) gained and health system costs over the remainder of the life span of the New Zealand population (N=4.4 million) for a smartphone app promotion intervention in 1 calendar year (2011) using currently available apps for weight loss.
methodsThe intervention was a national mass media promotion of selected smartphone apps for weight loss compared with no dedicated promotion. A multistate life table model including 14 body mass index-related diseases was used to estimate QALYs gained and health systems costs. A lifetime horizon, 3% discount rate, and health system perspective were used. The proportion of the target population receiving the intervention (1.36%) was calculated using the best evidence for the proportion who have access to smartphones, are likely to see the mass media campaign promoting the app, are likely to download a weight loss app, and are likely to continue using this app.
resultsIn the base-case model, the smartphone app promotion intervention generated 29 QALYs (95% uncertainty interval, UI: 14-52) and cost the health system US $1.6 million (95% UI: 1.1-2.0 million) with the standard download rate. Under plausible assumptions, QALYs increased to 59 (95% UI: 27-107) and costs decreased to US $1.2 million (95% UI: 0.5-1.8) when standard download rates were doubled. Costs per QALY gained were US $53,600 for the standard download rate and US $20,100 when download rates were doubled. On the basis of a threshold of US $30,000 per QALY, this intervention was cost-effective for Māori when the standard download rates were increased by 50% and also for the total population when download rates were doubled.
conclusionsIn this modeling study, the mass media promotion of a smartphone app for weight loss produced relatively small health gains on a population level and was of borderline cost-effectiveness for the total population. Nevertheless, the scope for this type of intervention may expand with increasing smartphone use, more easy-to-use and effective apps becoming available, and with recommendations to use such apps being integrated into dietary counseling by health workers.
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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.