Evidence map›Paper›PMID 39364192›Full record

ArticleHealth SA = SA Gesondheid2024

Theory of optimising radiation protection among diagnostic radiographers depicted as a model.

Shantel Lewis, Charlene Downing, Christopher M Hayre

Abstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shantel LewisDepartment of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8452-3006
Charlene DowningDepartment of Nursing, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-3229-8959
Christopher M HayreDepartment of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-5979-3613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: When radiation protection practices are suboptimal, it becomes necessary to take additional steps to optimise practices. Aim: Therefore, this study aimed to develop a model to facilitate radiation protection among diagnostic radiographers. Setting: The study was conducted in South Africa. Methods: A theory-generating design consisting of three steps was used to develop the model: (1) the central concept was identified, defined and classified; (2) relationship statements were created and (3) the model was developed, described and evaluated. Results: The model was premised on the central concept of facilitating a transformative radiation protection environment and occurs in four phases: (1) relationship, (2) working, (3) termination and (4) independent phases. The radiography manager and radiographer enter the relationship phase of the model because of discord regarding radiation protection in their department and work together to optimise radiation protection. The model's purpose, assumptions, context, structure and process are described. Conclusion: A model to facilitate radiation protection among radiographers was conceptualised to optimise radiation protection. The model details the steps the radiography manager and radiographer take to co-create optimal radiation protection practices. Radiation protection compliance among radiographers is paramount to ethical radiography practice, and the model provides a guide to optimise radiation protection. Contribution: In any radiography department where radiation protection may be lacking, the model provides a road map of possibilities for change. Ultimately, radiation protection compliance improves patient care and outcomes.

Indexed as

ALARAjustificationoptimisationpatient caretheory-generating

Identifiers

PMID39364192
PMCPMC11447687

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.