Evidence map›Paper›PMID 33981905›Full record

ArticleHeliyon2021

Job satisfaction behind motivation: An empirical study in public health workers.

Fotis Kitsios, Maria Kamariotou

Abstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Fotis KitsiosDepartment of Applied Informatics, University of Macedonia, Thessaloniki, Greece.
Maria KamariotouDepartment of Applied Informatics, University of Macedonia, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health sector is characterized as labor-intensive, which means that the effectiveness of an organization that operates within its context is inextricably linked to the level of employee performance. Therefore, an essential condition, in order to achieve higher standards, in terms of the effectiveness of the health units, as well as set the foundations of a solid health system, is to take maximum advantage of the full potential of human resources. This goal can only be accomplished by providing the appropriate incentives, which will naturally cause the adoption of the desired attitude and behavior. In the case of Greece, there is not enough research relative to the needs of health workers and, consequently, the incentives that can motivate them. This article aims to investigate the dynamics that may be behind health workers at a public hospital in Northern Greece. Data were collected from 74 employees in the hospital and were analyzed using ANOVA analysis. The results show that key motivators for the employees can be considered the relationships with their colleagues and the level of achievement, while the level of rewards and job characteristics play a secondary role. These results make it clear that, in order for the hospital's management to be able to improve the level of employee performance, it should ensure the establishment of a strong climate among employees, and also acknowledge the efforts made by them.

Indexed as

HealthcareHealth personnelJob satisfactionMotivationPerformance

Identifiers

PMID33981905
PMCPMC8085703

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.