Evidence map›Paper›PMID 36213338›Full record

ArticleInformatics in medicine unlocked2022

Jordanian nurses' attitudes toward using electronic health records during COVID-19 pandemic.

Walaa H Abed, Ghada M Abu Shosha, Islam A Oweidat, Rafat I Saleh, Abdulqadir J Nashwan

Abstract read
In one paragraph

Article in Informatics in medicine unlocked, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Walaa H AbedFaculty of Nursing, Zarqa University, Zarqa, Jordan.
Ghada M Abu ShoshaFaculty of Nursing, Zarqa University, Zarqa, Jordan.
Islam A OweidatFaculty of Nursing, Zarqa University, Zarqa, Jordan.
Rafat I SalehGeneral Hospital, King Saud Medical City, Riyadh, Saudi Arabia.
Abdulqadir J NashwanNursing Department, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic health records (EHRs) have proven their effectiveness during the coronavirus disease (COVID-19) pandemic. However, successful implementation of EHRs requires assessing nurses' attitudes as they are considered the first line in providing direct care for patients. This study assessed Jordanian nurses' attitudes and examined factors that affect nurses' attitudes toward using EHRs. A cross-sectional, correlational design was used. A convenient sample of 130 nurses was recruited from three major public hospitals in Jordan. All Participants completed the Nurses' attitudes Towards Computerization (NATC) Questionnaire. The overall nurses' attitude was positive; the mean was 61.85 (SD = 10.97). Findings revealed no significant relationship between nurses' attitudes toward using EHRs and nurses' age, gender, education level, previous computer skills experience, years of work experience, and years of dealing with EHRs. However, the work unit was found to have a significant correlation with nurses' attitudes toward using EHRs. Therefore, nurse administrators should arrange for the conduct of educational workshops and continuous training programs considering the needs of the nurses.

Indexed as

AttitudesCCU, Coronary care unitCOVID-19EBP, Evidence-based practiceEHR, Electronic health recordsElectronic health recordsICU, Intensive care unitIRB, Institutional review boardJordanNATC, Nurses' attitudes towards computerizationNursesSD, Standard deviationSPSS, Statistical Package for Social SciencesUSA, United States of America

Identifiers

PMID36213338
PMCPMC9531357

What OpenQuestion holds

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Registered trials

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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.