Evidence map›Paper›PMID 38832371›Full record

ArticleCurationis2024

Operational nursing managers' experiences of clinical supervision at a Johannesburg Hospital.

Bonginkosi I Shongwe, Charlene Downing, Sanele Nene

Abstract read
In one paragraph

Article in Curationis, 2024. 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
  2. Article
  3. 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.

Bonginkosi I ShongweDepartment of Nursing, Faculty of Health Sciences, University of Johannesburg, Johannesburg. bonginkosi.shongwe@gauteng.gov.za.
Charlene Downing
Sanele Nene

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical supervision is pivotal in supporting nurses in rendering quality, safe patient care. Therefore, it is essential to understand clinical supervision from operational nursing managers' context to define existing challenges and propose suitable recommendations.

objectivesThis study aimed to explore and describe operational nursing managers' experiences of clinical supervision within the context of an academic hospital in Gauteng province and propose evidence-based practice recommendations to improve patient safety and the quality of clinical supervision.

methodAn exploratory, sequential, mixed-method design was used and implemented over two phases to take advantage of the strengths of both the qualitative and quantitative research designs. Unstructured individual interviews were conducted to collect data in phase one, and an adapted Manchester Clinical Supervision Scale (MCSS) questionnaire was used to collect data in phase two.

resultsOperational nursing managers work in stressful conditions and environments with a gross shortage of staff and tools of the trade while being expected to deliver high-quality and safe nursing care. Of the sampled respondents, 36% (n = 17) were dissatisfied with the supervision they received, while 64% (n = 30) were indifferent in the sense that they did not think it was adequate or inadequate.

conclusionClinical supervisors should be trained and supported in clinical supervision, with regular workshops on interpersonal relations.Contribution: A clearer understanding of clinical supervision within the hospital context and evidence-based practice recommendations to improve patient safety and the quality of clinical supervision.

Indexed as

Nurse AdministratorsQualitative ResearchAdultAttitude of Health PersonnelFemaleHumansMaleMiddle AgedNursing, SupervisorySouth AfricaSurveys and Questionnairesclinical supervisionmanagersmixed method research designpatient safetypublic hospital

Identifiers

PMID38832371
PMCPMC11151381

What OpenQuestion holds

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LicenceCC BY
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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.