Evidence map›Paper›PMID 34868523›Full record

ArticleJournal of healthcare engineering2021

E-Health System Characteristics, Medical Performance, and Healthcare Quality at Jordan's Health Centers.

Malik Bader Alazzam, Husam Al Khatib, Walid Theib Mohammad, Fawaz Alassery

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 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 It has been retracted, and should not be counted.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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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  4. Application of PET/CT in Preoperative Evaluation and Diagnosis of Gastric Cancer.Computational and mathematical methods in medicine · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Malik Bader AlazzamFaculty of Computer Science and Informatics, Amman Arab University, Amman, Jordan.ORCID 0000-0001-7964-1051
Husam Al KhatibAl-Ahliyya Amman University, Amman, Jordan.
Walid Theib MohammadAssistant Professor Organization Al-Hussein Bin Talal University, Princess Aisha Bint Al-Hussein Faculty of Nursing, Princess Aisha Nursing College Ma'an, Ma'an, Jordan.ORCID 0000-0002-2687-0552
Fawaz AlasseryDepartment of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.ORCID 0000-0002-8187-2286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research explores how e-health systems' features (information quality, quality of the system, usability perceived, and perceived usefulness) contribute to improving medical personnel performance in medical centers, patient care, and physician-patient interactions in Jordan. The objective is to evaluate a single integrated model consisting of the technology acceptance model. This study used the logical research method and approach. A collection of data from 212 medical personnel working in 19 healthcare facilities throughout Jordan were gathered. To analyze the data collected and test the hypotheses of the research, a partially square/structural equation modeling method has been employed. The study found that the health information system (HIS) information quality has a direct and indirect beneficial effect on the performance of the staff, beneficial effects on patient care alone, and only favorable, indirect effects on the doctor-patient relationship. On the contrary, system quality was shown to influence directly and indirectly and to have a direct and indirect beneficial effect both on the connection between doctors and patients. Remember that the HIS has accessibility, speed, and mistake detection and avoids error issues. These shortcomings are suggested to be rectified in conjunction with improved user perception towards easy usage and utilization of the system.

Indexed as

PhysiciansTelemedicineHumansJordanPhysician-Patient RelationsQuality of Health Care

Identifiers

PMID34868523
PMCPMC8642007

What OpenQuestion holds

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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.