Evidence map›Paper›PMID 34123593›Full record

ArticlePeerJ2021

Using a mobile health app to improve patients' adherence to hypertension treatment: a non-randomized clinical trial.

Simiane Salete Volpi, Daiana Biduski, Ericles Andrei Bellei, Danieli Tefili, Lynn McCleary, Ana Luisa Sant'Anna Alves, Ana Carolina Bertoletti De Marchi

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  7. Review
  8. Physiotherapy Canada. Physiotherapie Canada · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. The Recent Advances of Mobile Healthcare in Cardiology Practice.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
    Review
  13. Article
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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 2 institutions in 2 countries.

Simiane Salete VolpiSchool of Physical Education and Physiotherapy, University of Passo Fundo, Passo Fundo, RS, Brazil.
Daiana BiduskiInstitute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, RS, Brazil.
Ericles Andrei BelleiInstitute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, RS, Brazil.ORCID 0000-0002-6020-6356
Danieli TefiliSchool of Physical Education and Physiotherapy, University of Passo Fundo, Passo Fundo, RS, Brazil.
Lynn McClearyFaculty of Applied Health Sciences, Brock University, St. Catharines, ON, Canada.
Ana Luisa Sant'Anna AlvesSchool of Physical Education and Physiotherapy, University of Passo Fundo, Passo Fundo, RS, Brazil.
Ana Carolina Bertoletti De MarchiSchool of Physical Education and Physiotherapy, University of Passo Fundo, Passo Fundo, RS, Brazil.ORCID 0000-0002-7704-3119
Universidade de Passo Fundo · BRBrock University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor adherence to hypertension treatment increases complications of the disease and is characterized by a lack of awareness and acceptance of ongoing treatment. Mobile health (mHealth) apps can optimize processes and facilitate access to health information by combining treatment methods with attractive solutions. In this study, we aimed at verifying the influence of using an mHealth app on patients' adherence to hypertension treatment, also examining how user experience toward the app influenced the outcomes. A total of 49 participants completed the study, men and women, diagnosed with hypertension and ongoing medical treatment. For 12 weeks, the control group continued with conventional monitoring, while the experimental group used an mHealth app. From the experimental group, at baseline, 8% were non-adherent, 64% were partial adherents and 28% were adherent to the treatment. Baseline in the control group indicated 4.2% non-adherents, 58.3% partial adherents, and 37.5% adherents. After follow-up, the experimental group had an increase to 92% adherent, 8% partially adherent, and 0% non-adherent (

Indexed as

Digital healthHealth appsHypertensionTreatment adherenceUser experience

Identifiers

PMID34123593
PMCPMC8166239
OpenAlexW3167831474

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.