Evidence map›Paper›PMID 34931993›Full record

ArticleJournal of medical Internet research2021

Prescribing Smartphone Apps for Physical Activity Promotion in Primary Care: Modeling Study of Health Gain and Cost Savings.

Leah Grout, Kendra Telfer, Nick Wilson, Christine Cleghorn, Anja Mizdrak

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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

5 authors at 1 institution in 1 country.

Leah GroutBurden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-4427-7314
Kendra TelferBurden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0001-8771-9779
Nick WilsonBurden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-5118-0676
Christine CleghornBurden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0003-1206-5189
Anja MizdrakBurden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand.ORCID 0000-0002-2897-3002
University of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInadequate physical activity is a substantial cause of health loss worldwide, and this loss is attributable to diseases such as coronary heart disease, diabetes, stroke, and certain forms of cancer.

objectiveThis study aims to assess the potential impact of the prescription of smartphone apps in primary care settings on physical activity levels, health gains (in quality-adjusted life years [QALYs]), and health system costs in New Zealand (NZ).

methodsA proportional multistate lifetable model was used to estimate the change in physical activity levels and predict the resultant health gains in QALYs and health system costs over the remaining life span of the NZ population alive in 2011 at a 3% discount rate.

resultsThe modeled intervention resulted in an estimated 430 QALYs gained (95% uncertainty interval 320-550), with net cost savings of 2011 NZ $2.2 million (2011 US $1.5 million) over the remaining life span of the 2011 NZ population. On a per capita basis, QALY gains were generally larger in women than in men and larger in Māori than in non-Māori. The health impact and cost-effectiveness of the intervention were highly sensitive to assumptions on intervention uptake and decay. For example, the scenario analysis with the largest benefits, which assumed a 5-year maintenance of additional physical activity levels, delivered 1750 QALYs and 2011 NZ $22.5 million (2011 US $15.1 million) in cost savings.

conclusionsThe prescription of smartphone apps for promoting physical activity in primary care settings is likely to generate modest health gains and cost savings at the population level in this high-income country. Such gains may increase with ongoing improvements in app design and increased health worker promotion of the apps to patients.

Indexed as

Mobile ApplicationsCost-Benefit AnalysisCost SavingsExerciseFemaleHumansMalePrimary Health CareQuality-Adjusted Life YearsmHealthmobile healthmobile phonemodelingphysical activityprimary caresmartphone apps

Identifiers

PMID34931993
PMCPMC8726034
OpenAlexW3210827543

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.