Evidence map›Paper›PMID 33374164›Full record

ArticleHealthcare (Basel, Switzerland)2020

Designing an IT Ecosystem for Pregnancy Care Management Based on Pervasive Technologies.

Daniel Bjelica, Artur Bjelica, Marijana Despotović-Zrakić, Božidar Radenković, Dušan Barać, Marko Đogatović

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. 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

6 authors.

Daniel BjelicaFaculty of Organizational Sciences, University of Belgrade, 11000 Belgrade, Serbia.
Artur BjelicaFaculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.
Marijana Despotović-ZrakićFaculty of Organizational Sciences, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0002-6458-1575
Božidar RadenkovićFaculty of Organizational Sciences, University of Belgrade, 11000 Belgrade, Serbia.
Dušan BaraćFaculty of Organizational Sciences, University of Belgrade, 11000 Belgrade, Serbia.
Marko ĐogatovićFaculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia.

Funding

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja 174031
6 · The paper itself

Abstract

Pregnancy care is a topic of interest for both academia and practitioners. Novel pervasive technologies and applications, such as mobile technologies, wearables and IoT, open a wide corpus of possibilities for fostering pregnancy care management, and reducing risks and problems, improving communication among stakeholders and society development. This article introduces a model of a pregnancy care IT ecosystem based on the integration of various services in a semantically enriched e-health ecosystem. As proof of concept, both the web and mobile applications that aim to help pregnant women and gynaecologists were designed and employed in a real environment. An evaluation of the developed ecosystem was performed on a sample of 500 pregnant women and 100 doctors. After pilot usage, a survey was used to collect the data from participants, and assess the acceptance of the developed system. Results show that quality, usability and usefulness are on a high level, and that both pregnant women and doctors are ready for more extensive use of the system. In addition, research findings imply that employing pervasive technologies could bring significant benefits to all the parties in pregnancy care systems.

Indexed as

e-healthIT ecosystemmobile technologiesontologiespregnancy caresmart healthcare

Identifiers

PMID33374164
PMCPMC7824737

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.