Evidence map›Paper›PMID 32525493›Full record

ArticleJMIR mHealth and uHealth2020

Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study.

Anja Mizdrak, Kendra Telfer, Artur Direito, Linda J Cobiac, Tony Blakely, Christine L Cleghorn, Nick Wilson

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Economic evaluation of physical activity mass media campaigns across the globe: a systematic review.The international journal of behavioral nutrition and physical activity · 2022
    Pooled it
  2. Article
  3. Evaluation of the 'A walk can work wonders' mass media campaign in South Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Article
  4. Promoting physical activity: the contribution of regulatory fit.Frontiers in sports and active living · 2025
    Article
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  6. Review
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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.

Anja MizdrakDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-2897-3002
Kendra TelferDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0001-8771-9779
Artur DireitoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-2236-8506
Linda J CobiacNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2271-6494
Tony BlakelyDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-6995-4369
Christine L CleghornDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0003-1206-5189
Nick WilsonDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-5118-0676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity smartphone apps are a promising strategy to increase population physical activity, but it is unclear whether government mass media campaigns to promote these apps would be a cost-effective use of public funds.

objectiveWe aimed to estimate the health impacts, costs, and cost-effectiveness of a one-off national mass media campaign to promote the use of physical activity apps.

methodsWe used an established multistate life table model to estimate the lifetime health gains (in quality-adjusted life years [QALYs]) that would accrue if New Zealand adults were exposed to a one-off national mass media campaign to promote physical activity app use, with a 1-year impact on physical activity, compared to business-as-usual. A health-system perspective was used to assess cost-effectiveness. and a 3% discount rate was applied to future health gains and health system costs.

resultsThe modeled intervention resulted in 28 QALYs (95% uncertainty interval [UI] 8-72) gained at a cost of NZ $81,000/QALY (2018 US $59,500; 95% UI 17,000-345,000), over the remaining life course of the 2011 New Zealand population. The intervention had a low probability (20%) of being cost-effective at a cost-effectiveness threshold of NZ $45,000 (US $32,900) per QALY. The health impact and cost-effectiveness of the intervention were highly sensitive to assumptions around the maintenance of physical activity behaviors beyond the duration of the intervention.

conclusionsA mass media campaign to promote smartphone apps for physical activity is unlikely to generate much health gain or be cost-effective at the population level. Other investments to promote physical activity, particularly those that result in sustained behavior change, are likely to have greater health impacts.

Indexed as

ExerciseSmartphoneAdultAgedAged, 80 and overCost-Benefit AnalysisFemaleHumansMaleMass MediaMiddle AgedNew Zealandmass media campaignsmHealthmobile healthmodelingphysical activitysmartphone apps

Identifiers

PMID32525493
PMCPMC7317635

What OpenQuestion holds

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LicenceCC BY
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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.