Evidence map›Paper›PMID 37791010›Full record

ArticleMethodsX2023

Assessment of healthcare application quality: Development of a standardized methods for healthcare professionals.

Desirèe Andreoli, Stefano Mancin, Marco Sguanci, Mattia Ricco, Domenica Gazineo, Lea Godino

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 5 institutions in 1 country.

Desirèe AndreoliAzienda Ospedaliera Santa Maria della Misericordia, Perugia, Italy.
Stefano MancinSIAN, Società Infermieri Area Nefrologica, Olbia, Italy.
Marco SguanciDepartment of Medicine and Surgery, Research Unit of Nursing Science, Università Campus Bio-Medico di Roma, Italy.
Mattia RiccoDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Domenica GazineoSIAN, Società Infermieri Area Nefrologica, Olbia, Italy.
Lea GodinoSIAN, Società Infermieri Area Nefrologica, Olbia, Italy.
Azienda USL di Bologna · ITAzienda Ospedaliera di Perugia · ITUniversità Campus Bio-Medico · ITUniversity of Bologna · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of the mobile app market is reshaping healthcare, emphasizing the imperative for quality and efficacy in health applications. This methodology has been devised to assess mobile health applications, aiming to assist healthcare professionals in selecting apps for e-healthcare consumers. Key facets of this approach are: •A stringent selection process within mobile app stores•A standardized assessment using the Mobile App Rating Scale to achieve consistent and replicable evaluations, systematically organizing app evaluations•A comprehensive framework guiding healthcare practitioners in determining which apps to integrate into clinical practice and which to exclude Central to this method is the emphasis on distinguishing apps that enhance clinical practice from those that fall short in important areas such as the effectiveness of proposed health features, data accuracy, adherence to clinical guidelines, data security, and user privacy. With heightened attention to usability and accessibility, the methodology also addresses the common risks inherent in mHealth implementation, ensuring that selected apps not only meet technical criteria but also align with the broader healthcare ecosystem's needs and challenges.

Indexed as

Assessment of health mobile apps qualityChronic kidney diseaseMobile appsMobile-health technologyNutrition

Identifiers

PMID37791010
PMCPMC10542414
OpenAlexW4387107327

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.