Evidence map›Paper›PMID 39727817›Full record

ArticleGeriatrics (Basel, Switzerland)2024

Nurses' Clinical Practice in Nursing Homes: Depressive Symptoms and Fall Risk Assessment.

Alcina Matos Queirós, Armin von Gunten, Maria Manuela Martins, Henk Verloo

Abstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 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

4 authors.

Alcina Matos QueirósInstitute of Biomedical Sciences Abel Salazar, University of Porto, 4050-313 Porto, Portugal.ORCID 0000-0003-0917-9097
Armin von GuntenService of Old Age Psychiatry, Lausanne University Hospital and University of Lausanne, 1008 Prilly, Switzerland.
Maria Manuela MartinsInstitute of Biomedical Sciences Abel Salazar, University of Porto, 4050-313 Porto, Portugal.ORCID 0000-0003-1527-9940
Henk VerlooSchool of Nursing Sciences, University of Applied Sciences and Arts Western Switzerland, 1950 Sion, Switzerland.ORCID 0000-0002-5375-3255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and falls are highly prevalent, interrelated concerns for nursing home (NH) residents. Relationships between depression and falls should guide nurses towards developing evidence-based practices for assessing these conditions together. This study aimed to ascertain NH nurses' clinical practices and perceptions regarding the assessment of depression and fall risk.

methodsThis study was an exploratory descriptive study on the reported practices and perceptions from NH nurses in the canton of Vaud, Western Switzerland. Statistical analyses included descriptive statistics, nonparametric tests and a content analysis of responses to open-ended questions.

resultsThe mean age of our 116 responding nurses was 44.6 years old (SD = 11.3), 99 were women and their mean work experience in NHs was 13.1 years (SD = 9.2). The reporting showed that 88.8% of nurses relied on mood observation for assessing depression and 88.8% relied on the history of falls to identify fall risk. Only 75.9% and 61.2% of nurses used validated scales to detect depression and fall risk, respectively. Additionally, 56.9% of participants considered depression to be a significant factor in fall risk.

conclusionValidated tools to assess depression and fall risk in NHs should be used more widely. Health policies must support and enhance NH nurses' training and skills.

Indexed as

assessmentdepressionfall risknursesnurses perceptionsnurses reported practicesnursing homes

Identifiers

PMID39727817
PMCPMC11727913

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.