Evidence map›Paper›PMID 31304313›Full record

ArticleNPJ digital medicine2018

User experience of instant blood pressure: exploring reasons for the popularity of an inaccurate mobile health app.

Timothy B Plante, Anna C O'Kelly, Bruno Urrea, Zane T MacFarlane, Roger S Blumenthal, Jeanne Charleston, Edgar R Miller, Lawrence J Appel, Seth S Martin

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Digital Health Revolution in India: Transforming Health and Medicine.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2024
    Article
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  6. Review
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  12. Review
  13. Digital health: a path to validation.NPJ digital medicine · 2019
    Review
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

9 authors at 4 institutions in 1 country.

Timothy B Plante1Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT USA.ORCID 0000-0001-9992-9597
Anna C O'Kelly2Department of Medicine, Massachusetts General Hospital, Boston, MA USA.
Bruno Urrea2Department of Medicine, Massachusetts General Hospital, Boston, MA USA.
Zane T MacFarlane4Department of Medicine, MedStar Union Memorial Hospital, Baltimore, MD USA.
Roger S Blumenthal3Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Jeanne Charleston6Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, The Johns Hopkins University School of Medicine, Baltimore, MD USA.
Edgar R Miller7Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.
Lawrence J Appel8Welch Center for Prevention, Epidemiology, and Clinical Research, The Johns Hopkins University, Baltimore, MD USA.
Seth S Martin3Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Johns Hopkins University · USMassachusetts General Hospital · USMedStar Union Memorial Hospital · USUniversity of Vermont · US

Funding

BEHAVIORAL RESEARCH IN HEART &VASCULAR DISEASET32HL007180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MARUTHUR, NISA M · 1985 to 2020
$11.4M
NHLBI NIH HHS T32 HL007180
6 · The paper itself

Abstract

Instant blood pressure (IBP) is a top-selling yet inaccurate blood pressure (BP)-measuring app that underreports elevated BP. Its iTunes app store user ratings and reviews were generally positive. Whether underreporting of elevated BP improves user experience is unknown. Participants enrolled at five clinics estimated their BP, measured their BP with IBP, then completed a user experience survey. Participants were grouped based on how their IBP BP measurements compared to their estimated BP (IBP Lower, IBP Similar, or IBP Higher). Logistic regressions compared odds of rating "agree" or "strongly agree" on survey questions by group. Most participants enjoyed using the app. In the adjusted model, IBP Higher had significantly lower proportions reporting enjoyment and motivation to check BP in the future than IBP Similar. All three groups were comparable in perceived accuracy of IBP and most participants perceived it to be accurate. However, user enjoyment and likelihood of future BP monitoring were negatively associated with higher-than-expected reported systolic BP. These data suggest reassuring app results from an inaccurate BP-measuring app may have improved user experience, which may have led to more positive user reviews and greater sales. Systematic underreporting of elevated BPs may have been a contributor to the app's success. Further studies are needed to confirm whether falsely reassuring output from other mobile health apps improve user experience and drives uptake.

Indexed as

EpidemiologyHypertension

Identifiers

PMID31304313
PMCPMC6550164
OpenAlexW2884141461

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.