Evidence map›Paper›PMID 38067740›Full record

SynthesisSensors (Basel, Switzerland)2023

Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review.

Mohammad Mobarak Hossain, Mohammod Abul Kashem, Md Monirul Islam, Md Sahidullah, Sumona Hoque Mumu, Jia Uddin, Daniel Gavilanes Aray, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

10 authors at 8 institutions in 5 countries.

Mohammad Mobarak HossainDepartment of Computer Science and Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1707, Bangladesh.ORCID 0000-0003-2400-392X
Mohammod Abul KashemDepartment of Computer Science and Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1707, Bangladesh.
Md Monirul IslamDepartment of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka 1216, Bangladesh.ORCID 0000-0001-8510-0593
Md SahidullahDepartment of Computer Science and Engineering, Asian University of Bangladesh (AUB), Bangabandhu Road, Tongabari Ashulia, Dhaka 1349, Bangladesh.ORCID 0009-0005-5556-7463
Sumona Hoque MumuSchool of Kinesiology, University of Louisiana at Lafayette, Lafayette, LA 70504, USA.
Jia UddinAI and Big Data Department, Endicott College, Woosong University, Daejeon 34606, Republic of Korea.ORCID 0000-0002-3403-4095
Daniel Gavilanes ArayHigher Polytechnic School, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.
Isabel de la Torre DiezDepartment of Signal Theory, Communications and Telematics Engineering, Unviersity of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain.ORCID 0000-0003-3134-7720
Imran AshrafDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-8271-6496
Md Abdus SamadDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-1990-6924
Dhaka University of Engineering & Technology · BDYeungnam University · KRAsian University of Bangladesh · BDDaffodil International University · BDIbero American University · MXUniversidad de Valladolid · ESUniversity of Louisiana at Lafayette · USWoosong University · KR

Funding

This study is funded by the European University of Atlantic. N/A
6 · The paper itself

Abstract

The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals.

Indexed as

Internet of ThingsWearable Electronic DevicesDelivery of Health CareFemaleForecastingHumansInfant, NewbornInternetMonitoring, PhysiologicPregnancyantenatal carehealthcare in IoTInternet of Thingsmaternal care coordinationmaternal health data-setmedication reminderm-healthneonatal carepatient monitoringpostpartum careprenatal carerisk factor

Identifiers

PMID38067740
PMCPMC10708762
OpenAlexW4388946731

What Socratic 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 Socratic graph.