Evidence map›Paper›PMID 38841357›Full record

ArticleHealth SA = SA Gesondheid2024

Contributory factors related to patient safety incidence: A nursing perspective.

Gifty Adu, Sibusiso M Zuma

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gifty AduDepartment of Health Studies, School of Social Sciences, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-3468-0449
Sibusiso M ZumaDepartment of Health Studies, School of Social Sciences, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-8310-4942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are growing concerns about patient safety and quality assurance enhancement in the healthcare setting because of the increase in the incidence of patient harm and adverse events over the years. Aim: This study explored the contributory factors associated with patient safety practices. Setting: The study was conducted in two private hospitals in Gauteng province, South Africa. Methods: A qualitative approach was used to gain an in-depth understanding of the issues pertaining to patient safety incidence. Purposive sampling was used to select professional nurses practicing within the two private hospitals. Thematic analysis was used. The study utilised the Donabedian model of patient safety and quality. Results: The study revealed that majority of the professional nurses did not understand the concept of patient safety; there was poor communication between the multidisciplinary team. There was poor adherence to patient safety policies. Conclusion: Patient safety issues remain an issue of concern in public health. There is a need for nurses to be capacitated on the implementation of patient safety programmes as well as improving communication within the multidisciplinary team. Identifying and addressing risk and contributory factors will help reduce the global burden of patient harm. Contribution: The study has presented the challenges as seen with patient safety and made recommendations on how to improve patient safety from the nursing perspective. It is anticipated that the results of this study may be used to create awareness on patient safety issues. This should promote a good healthcare climate in private healthcare institutions.

Indexed as

contributory factorshealthcareknowledgepatient safetyprofessional nursesafety practices

Identifiers

PMID38841357
PMCPMC11151417

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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.