Evidence map›Paper›PMID 37545903›Full record

ArticleAfrican health sciences2023

Factors that influence resignations of radiographers employed by tertiary hospitals in the KwaZulu-Natal province, South Africa.

Melisa Pillay, Pauline Busisiwe Nkosi, Maureen Nokuthula Sibiya

Abstract read
In one paragraph

Article in African health sciences, 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  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

3 authors.

Melisa PillayDurban University of Technology, Faculty of Health Sciences.
Pauline Busisiwe NkosiDurban University of Technology, Faculty of Health Sciences.
Maureen Nokuthula SibiyaMangosuthu University of Technology, Division of Research, Innovation and Engagement.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The shortage of staff in Kwa-Zulu Natal (KZN) public hospitals is evident and poses a challenge to retain radiographers. Therefore, there is need to identify the factors that influence resignations of radiographers. Objective: The aim of this study was to explore the factors that influence resignations of radiographers employed by tertiary hospitals in KZN province. Methods: The study was guided by a descriptive quantitative research method. The data was collected in the form of questionnaires. A letter of information describing the details of the study was provided to the participants. All consenting participants were requested to provide a written consent prior to completing the questionnaire. The questionnaire was completed, collected and analysed. The statistical analysis test was conducted using SPSS statistic V25. Result: A response rate of 66.35% was received with 78.3% (n=108) female and 21.7% (n=30) male. The result suggested that participants unanimously agree that resignation of radiographers is precipitated by factors such as poor working conditions, unhygienic working environment and uncompetitive salaries. The result also suggested that moving from their current career in radiography to another career is precipitated by factors such as high stress level and long working hours. Conclusion: The factors identified were further analysed and results showed that the participant's personal reasons for moving from their jobs are co-related with environmental reasons. The most influential factor was stress and remuneration.

Indexed as

Hospitals, PublicFemaleHumansMaleSouth AfricaSurveys and QuestionnairesTertiary Care Centersdescriptive quantitative researchRadiographersstaff resignation

Identifiers

PMID37545903
PMCPMC10398459

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.