Evidence map›Paper›PMID 37229009›Full record

ArticleAnnals of medicine and surgery (2012)2023

Revealing the relation between job satisfaction and workload: a cross-sectional study in the emergency department.

Rayan F Batarfi, Ahmad M A Bakhsh, Ibrahim D Alghamdi, Faris A Alotaibi

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 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
2.6field-weighted citation impact, top 11% 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, 6 citations in OpenAlex.

  1. Article
  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

4 authors at 3 institutions in 2 countries.

Rayan F BatarfiDepartment of Emergency Medicine, King Fahad Medical City.
Ahmad M A BakhshCollege of Business Administration, King Saud University.
Ibrahim D AlghamdiCollege of Business Administration, King Saud University.
Faris A AlotaibiEmergency Medical Dispatch, Saudi Red Crescent Authority, Makkah, Saudi Arabia.
King Fahd Medical City · SAKing Saud University · SAUniversity of Business and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Job satisfaction is recognized as an essential parameter that affects the performance and quality of medical services provided by emergency department (ED) health professionals. However, little is known about the status of job satisfaction related to workload among ED staff in Saudi Arabia. This study aimed to explore the current level of job satisfaction and to analyze the relationship between job satisfaction and the personal and professional characteristics of ED staff. Methods: A cross-sectional questionnaire-based study was conducted among ED staff, including various job positions, to assess job satisfaction. An online questionnaire was sent electronically to all ED staff. The structured online questionnaire collected information on sociodemographic factors, workload-related factors, and job satisfaction. The data was analyzed using SPSS version 26. Results: The questionnaire used to assess job satisfaction levels demonstrated high internal consistency and reliability using Cronbach's Conclusion: It may be concluded that ED staff have a higher level of job satisfaction related to workload factors. The level of satisfaction did not change for different age groups, genders, levels of education, levels of experience, or jobs.

Indexed as

EDemergency departmentsatisfaction levelSaudi Arabia

Identifiers

PMID37229009
PMCPMC10205282
OpenAlexW4364365484

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.