Evidence map›Paper›PMID 31344667›Full record

ArticleJMIR mHealth and uHealth2019

Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study.

Aisha T Langford, Craig A Solid, Ebony Scott, Meeki Lad, Eli Maayan, Stephen K Williams, Azizi A Seixas

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 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
13.1field-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.

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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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  17. Features of the Development of a Mobile Application for Cardiac Patients.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
    Article
  18. Examination of the reliability and feasibility of two smartphone applications to assess executive functioning in racially diverse older adults.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2022
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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.

Aisha T LangfordDivision of Comparative Effectiveness and Decision Science, Department of Population Health, NYU School of Medicine, New York, NY, United States.ORCID 0000-0003-1758-691X
Craig A SolidSolid Research Group, LLC, St. Paul, MN, United States.ORCID 0000-0003-2188-432X
Ebony ScottDivision of Comparative Effectiveness and Decision Science, Department of Population Health, NYU School of Medicine, New York, NY, United States.ORCID 0000-0003-2171-5219
Meeki LadThe Langford Lab, Department of Population Health, NYU School of Medicine, New York, NY, United States.ORCID 0000-0002-3920-5551
Eli MaayanThe Langford Lab, Department of Population Health, NYU School of Medicine, New York, NY, United States.ORCID 0000-0001-7762-4805
Stephen K WilliamsCenter for Healthful Behavior Change, Department of Population Health, NYU School of Medicine, New York, NY, United States.ORCID 0000-0003-2004-2526
Azizi A SeixasCenter for Healthful Behavior Change, Department of Population Health, NYU School of Medicine, New York, NY, United States.ORCID 0000-0003-0843-2679
New York University · US

Funding

DORMIR: Determinants, Outcomes, Responses and Markers of Insufficient sleep in Rural-Urban settingsR01HL152453 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2020 to 2024
$3.7M
The effect of insufficient sleep on cardiovascular disease disparity between blacks and whitesK01HL135452 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2017 to 2020
$719k
NHLBI NIH HHS K01 HL135452NHLBI NIH HHS R01 HL152453
6 · The paper itself

Abstract

backgroundMobile phone and tablet ownership have increased in the United States over the last decade, contributing to the growing use of mobile health (mHealth) interventions to help patients manage chronic health conditions like diabetes. However, few studies have characterized mobile device ownership and the presence of health-related apps on mobile devices in people with a self-reported history of hypertension.

objectiveThis study aimed to describe the prevalence of smartphone, tablet, and basic mobile phone ownership and the presence of health apps by sociodemographic factors and self-reported hypertension status (ie, history) in a nationally representative sample of US adults, and to describe whether mobile devices are associated with health goal achievement, medical decision making, and patient-provider communication.

methodsData from 3285 respondents from the 2017 Health Information National Trends Survey were analyzed. Participants were asked if they owned a smartphone, tablet, or basic mobile phone and if they had health apps on a smartphone or tablet. Participants were also asked if their smartphones or tablets helped them achieve a health-related goal like losing weight, make a decision about how to treat an illness, or talk with their health care providers. Chi-square analyses were conducted to test for differences in mobile device ownership, health app presence, and app helpfulness by patient characteristics.

resultsApproximately 1460 (37.6% weighted prevalence) participants reported a history of hypertension. Tablet and smartphone ownership were lower in participants with a history of hypertension than in those without a history of hypertension (55% vs 66%, P=.001, and 86% vs 68%, P<.001, respectively). Participants with a history of hypertension were more likely to own a basic mobile phone only as compared to those without a history of hypertension (16% vs 9%, P<.001). Among those with a history of hypertension exclusively, basic mobile phone, smartphone, and tablet ownership were associated with age and education, but not race or sex. Older adults were more likely to report having a basic mobile phone only, whereas those with higher education were more likely to report owning a tablet or smartphone. Compared to those without a history of hypertension, participants with a history of hypertension were less likely to have health-related apps on their smartphones or tablets (45% vs 30%, P<.001) and report that mobile devices helped them achieve a health-related goal (72% vs 63%, P=.01).

conclusionsDespite the increasing use of smartphones, tablets, and health-related apps, these tools are used less among people with a self-reported history of hypertension. To reach the widest cross-section of patients, a mix of novel mHealth interventions and traditional health communication strategies (eg, print, web based, and in person) are needed to support the diverse needs of people with a history of hypertension.

Indexed as

AdultAgedCell PhoneChi-Square DistributionComputers, HandheldCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedOwnershipSelf ReportSocioeconomic FactorsUnited Statescell phonechronic diseasegoalshealth communicationhypertensionownershipsmartphonetabletstelemedicinetext messaging

Identifiers

PMID31344667
PMCPMC6682274
OpenAlexW2909777362

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.