Evidence map›Paper›PMID 35047026›Full record

ArticleComputational intelligence and neuroscience2021

A Survey Research on the Willingness of Gynecologists to Employ Mobile Health Applications.

Malik Bader Alazzam, Ahmad Tawfig Al-Radaideh, Raed Ahmed Alhamarnah, Fawaz Alassery, Fahima Hajjej, Azmi Halasa

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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  17. Application of PET/CT in Preoperative Evaluation and Diagnosis of Gastric Cancer.Computational and mathematical methods in medicine · 2022
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  19. Functional Localizers for Motor Areas of the Brain Using fMRI.Computational intelligence and neuroscience · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Malik Bader AlazzamFaculty of Computer Science and Informatics, Amman Arab University, Amman, Jordan.ORCID https://orcid.org/0000-0001-7964-1051
Ahmad Tawfig Al-RadaidehDepartment of MIS, College of Business, Jadara University, Irbid, Jordan.ORCID https://orcid.org/0000-0003-4531-8998
Raed Ahmed AlhamarnahComputer and Information System Department, University of Almaarefa, Riyadh, Saudi Arabia.
Fawaz AlasseryDepartment of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID https://orcid.org/0000-0002-8187-2286
Fahima HajjejDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID https://orcid.org/0000-0003-1709-5790
Azmi HalasaDepartment of MIS, College of Business, Jadara University, Irbid, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In gynecological care, mHealth (mobile health) technology may play an important role. Medical professionals' willingness to use this technology is the key to its acceptance. Most doctors utilize mobile health technology; however, there is still room for improvement in the use of mHealth. Gynecologists were asked to participate in this research to see how open they were to use mobile health technologies. In this descriptive-analytical investigation, the researchers determined the average scores for each variable. The overall mean for preparedness to embrace mobile medical technology is 1.8 out of 2, as shown in Table 1. When it came to their desire to embrace mobile health technology, doctors' years of experience correlated negatively with their age. According to our findings, the amount of interest in mobile health technology is high. Patients' private information must be protected throughout the usage of this technology though. Mobile health technology may effectively reach patients in remote areas, but it is not a substitute for face-to-face encounters with medical professionals.

Indexed as

Mobile ApplicationsTelemedicineBiomedical TechnologyHumansTechnology

Identifiers

PMID35047026
PMCPMC8763536

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.