Evidence map›Paper›PMID 30664471›Full record

ArticleJMIR mHealth and uHealth2019

Health Benefits and Cost-Effectiveness From Promoting Smartphone Apps for Weight Loss: Multistate Life Table Modeling.

Christine Cleghorn, Nick Wilson, Nisha Nair, Giorgi Kvizhinadze, Nhung Nghiem, Melissa McLeod, Tony Blakely

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 4% of its field
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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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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 at 1 institution in 1 country.

Christine CleghornBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0003-1206-5189
Nick WilsonBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-5118-0676
Nisha NairBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-4233-0636
Giorgi KvizhinadzeBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-5857-9479
Nhung NghiemBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0003-0078-4549
Melissa McLeodBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-5834-7846
Tony BlakelyBODE3 Programme, Department of Public Health, University of Otago, Wellington, New Zealand.ORCID 0000-0002-6995-4369
University of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Weight LossBody Mass IndexCost-Benefit AnalysisGovernment ProgramsHumansInsurance BenefitsLife TablesMobile ApplicationsNew ZealandQuality-Adjusted Life Yearscost-utility analysislife tablesquality-adjusted life yearssmartphonetelemedicineweight loss diet

Identifiers

PMID30664471
PMCPMC6350086
OpenAlexW2896532005

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.