Evidence map›Paper›PMID 38058743›Full record

ArticleHealth SA = SA Gesondheid2023

Registered nurses' management of depression in general wards.

Mandisa Mpetshu, Jeanette E Maritz

Open access · goldAbstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2023. 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
0.6field-weighted citation impact, top 28% of its field
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, 2 citations in OpenAlex.

  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 at 1 institution in 1 country.

Mandisa MpetshuDepartment of Health Studies, Faculty of Human Sciences, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-3883-3580
Jeanette E MaritzDepartment of Health Studies, Faculty of Human Sciences, University of South Africa, Pretoria, South Africa.ORCID 0000-0002-1051-1758
University of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During and in the aftermath of the COVID-19, the rate of depression increased globally. A significant number of patients found in a general hospital or ward with physical conditions often have depression. Aim: This study aimed to gain an in-depth understanding of registered nurses' experiences managing patients with depression in a general medical ward. Setting: The study took place in two general medical wards of a private hospital in the Gauteng province, South Africa, in 2021, with COVID-19 lockdown levels three to one prevailing. Methods: A descriptive qualitative design was used, and data were collected through 10 in-depth, face-to-face interviews. Data were analysed using a thematic approach. Results: The COVID-19 pandemic exerted a bidirectional influence, affecting both patients diagnosed with depression while admitted to a general ward and the nurses caring for them. This mutual impact added an additional layer of complexity to patient management. Conclusion: For optimal care of patients with depression in general wards, nurses need comprehensive training, confidence and a safe environment, bolstered by sufficient resources and robust management support. Contribution: The study highlights critical challenges in detecting and caring for patients diagnosed with depression in a general medical ward and the compounding effect of COVID-19. These findings underscore the importance of addressing clinical and psychosocial needs in a healthcare setting, especially amid a global pandemic.

Indexed as

COVID-19 pandemicdeath anxietydepressiongeneral medical wardnursespatients

Identifiers

PMID38058743
PMCPMC10696582
OpenAlexW4389114792

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.