Evidence map›Paper›PMID 26537656›Full record

ArticleJMIR mHealth and uHealth2015

Health App Use Among US Mobile Phone Owners: A National Survey.

Paul Krebs, Dustin T Duncan

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 597 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
597citing papers in PubMed, 10 pooled it
187.1field-weighted citation impact, top 1% 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.

NCT03833648 nacompletednot on this mapstarted 2019, after this paper: background citation

UControlPain App (This is the Official IRB Title)

TypeinterventionalSponsorUniversity of Colorado, DenverRan2019 to 2020Enrolled60ConditionsOpioid UseArmsUControl Pain App with Education
NCT05221866 nacompletednot on this mapstarted 2022, after this paper: background citation

Efficiency And Quality In Post-Surgical Pain Therapy After Discharge

TypeinterventionalSponsorUniversity of NebraskaRan2022 to 2023Enrolled711ConditionsOpioid Use, Opioid Dependence, Opioid Misuse, Post-Surgical ComplicationArmsEmpowering Patient to Steer Their Pain Management After Surgery, Provider-facing Prescription Aid
NCT06896812 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

A Pilot Study on App-based Treatment Combining Physical Exercise, Graded Activity, and Pain Journaling for Patients with Spinal Complaints

TypeinterventionalSponsorZuyderland Medisch CentrumRan2025 to 2025Enrolled30ConditionsBack Pain, Spinal Disease, Spinal ConditionArmsThe app-based treatment consists of a combination of physical exercise, graded activity, and pain journaling.
3 · Its place in the literature

Who cites it

597 citing papers in PubMed, 10 syntheses or guidelines pooled it, 1,410 citations in OpenAlex.

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  3. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  16. Defaults at Work: A Field Experiment on the Effect of Nudges on Stand-Up Working.International journal of environmental research and public health · 2025
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537 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Paul KrebsNew York University School of Medicine, Department of Population Health, New York, NY, United States. Paul.Krebs@nyumc.org.ORCID http://orcid.org/0000-0003-3380-1763
Population Council · USVA NY Harbor Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile phone health apps may now seem to be ubiquitous, yet much remains unknown with regard to their usage. Information is limited with regard to important metrics, including the percentage of the population that uses health apps, reasons for adoption/nonadoption, and reasons for noncontinuance of use.

objectiveThe purpose of this study was to examine health app use among mobile phone owners in the United States.

methodsWe conducted a cross-sectional survey of 1604 mobile phone users throughout the United States. The 36-item survey assessed sociodemographic characteristics, history of and reasons for health app use/nonuse, perceived effectiveness of health apps, reasons for stopping use, and general health status.

resultsA little over half (934/1604, 58.23%) of mobile phone users had downloaded a health-related mobile app. Fitness and nutrition were the most common categories of health apps used, with most respondents using them at least daily. Common reasons for not having downloaded apps were lack of interest, cost, and concern about apps collecting their data. Individuals more likely to use health apps tended to be younger, have higher incomes, be more educated, be Latino/Hispanic, and have a body mass index (BMI) in the obese range (all P<.05). Cost was a significant concern among respondents, with a large proportion indicating that they would not pay anything for a health app. Interestingly, among those who had downloaded health apps, trust in their accuracy and data safety was quite high, and most felt that the apps had improved their health. About half of the respondents (427/934, 45.7%) had stopped using some health apps, primarily due to high data entry burden, loss of interest, and hidden costs.

conclusionsThese findings suggest that while many individuals use health apps, a substantial proportion of the population does not, and that even among those who use health apps, many stop using them. These data suggest that app developers need to better address consumer concerns, such as cost and high data entry burden, and that clinical trials are necessary to test the efficacy of health apps to broaden their appeal and adoption.

Indexed as

cell phonesmobile appstelemedicine

Identifiers

PMID26537656
PMCPMC4704953
OpenAlexW2126335261

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.