Evidence map›Paper›PMID 34632108›Full record

ArticleBMJ paediatrics open2021

Mobile applications for prematurity: a systematic review protocol.

Malihe Sadeghi, Mehdi Kahouei, Shahrbanoo Pahlevanynejad, Ali Valinejadi, Marjan Momeni, Farzaneh Kermani, Hamed Seddighi

Open access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2021. 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
1.7field-weighted citation impact, top 15% 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. Review
  2. Article
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.

Malihe SadeghiDepartment of Health Information Technology, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.
Mehdi KahoueiSocial Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Shahrbanoo PahlevanynejadDepartment of Health Information Technology, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.
Ali ValinejadiSocial Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Marjan MomeniSchool of Rehabilitation, Semnan University of Medical Sciences, Semnan, Iran.
Farzaneh KermaniDepartment of Health Information Technology, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.
Hamed SeddighiCampus Fryslan, University of Groningen, Leeuwarden, The Netherlands.ORCID 0000-0002-6214-4830
Semnan University of Medical Sciences · IRUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Premature birth is a global epidemic of significant public health concern. Counselling and education of pregnant women at risk of preterm birth or mothers with premature infants are essential to improve mother and infant health. Mobile applications are an increasingly popular tool among parents to receive health information and education. This study aims to evaluate the usages and the effects of a mobile application designed for premature births in order to improve health outcomes. Methods: This review will include all studies of different designs which evaluated the use and impact of interventions provided via mobile applications on pregnant women at risk of preterm birth or mothers with premature infants in order to address all health outcomes. A combination of keywords and MeSH(Medical Subject Headings) terms is used in the search strategy. Literature databases including Scopus, PubMed, ISI Web of Science, ProQuest, CINAHL and Cochrane Library will be searched to May 2021. Furthermore, eligible studies will be chosen from the reference list of retrieved papers. Two researchers will independently review the retrieved citations to decide whether they meet the inclusion criteria. Mixed Methods Appraisal Tool (MMAT) V.2018 will be used to assess the quality of studies. Relevant data are collected in a data extraction form and analysed. Results are reported under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Discussion: This systematic review will recognize and combine evidence about the usages and impact of mobile application interventions on the health improvement of pregnant women at risk of preterm birth or mothers with premature infants.

Indexed as

Infant, Premature, DiseasesMobile ApplicationsPremature BirthFemaleHumansInfantInfant, NewbornInfant, PrematureMothersPregnancySystematic Reviews as Topicinformation technologyneonatology

Identifiers

PMID34632108
PMCPMC8458308
OpenAlexW3199298042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.