Evidence map›Paper›PMID 36824402›Full record

ReviewJournal of education and health promotion2022

Functionality of self-care for pregnancy mobile applications: A review study.

Behnaz Pouriayevali, Asghar Ehteshami, Shahnaz Kohan, Sakineh Saghaeiannejad-Isfahani

Open access · goldAbstract readReview
In one paragraph

Review in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Observational
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Behnaz PouriayevaliHealth Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Asghar EhteshamiHealth Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Shahnaz KohanReproductive Sciences and Sexual Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Sakineh Saghaeiannejad-IsfahaniHealth Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-care may help prevent pregnancy complications and mortality by informing parents. Mobile health applications (apps) can help individuals to improve the quality of self-care. Although it has been claimed that mobile apps have various benefits, their functionalities in pregnancy self-care are still unclear. A clear understanding of current apps can help researchers, practitioners, and app developers to identify appropriate functionalities for new development and future refinement of current apps. This review endeavored to identify appropriate functions for pregnancy self-care mobile apps and user interface (UI) features. The scope of this review integrates self-care for pregnancy apps published in Google Play and Cafe Bazaar (an Iranian Android marketplace), popular Android app stores, from July to October 2019 by sing the systematic search technique. All 4196 downloaded apps were installed, and it was found that 76 of them met the inclusion criteria. This way, their features were extracted and categorized by the conventional content analysis. Three main themes and 69 subthemes in terms of apps functionalities and their UI features were extracted as follows: 1) Training materials (maternal and paternal) with 27 subthemes; 2) self-care functionalities (consultations, fetus tracking, clinical examination, supportive assistance, and reminders) with 26 subthemes; and UI features with 16 subtheme. The findings underlined the mHealth solutions for pregnancy self-care and the need for development of the apps regarding the extracted functionalities and UI features; however, controlled trials are needed. It is recommended that transparent reporting of mHealth interventions needs to be prioritized to enable effective interpretation of the extracted data.

Indexed as

Mobile applicationspregnancyself-caretelemedicine

Identifiers

PMID36824402
PMCPMC9942138
OpenAlexW4320151252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.