Evidence map›Paper›PMID 33476490›Full record

ArticleNursing open2021

Developing a nursing diagnosis for the risk for malnutrition: a mixed-method study.

Silvia Brunner, Hanna Mayer, Matthias Breidert, Michael Dietrich, Maria Müller-Staub

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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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

5 authors at 3 institutions in 3 countries.

Silvia BrunnerCity Hospital Waid and Triemli, Zurich, Zurich, Switzerland.ORCID 0000-0003-4460-882X
Hanna MayerUniversity Vienna, Vienna, Austria.ORCID 0000-0002-7206-9432
Matthias BreidertCity Hospital Waid and Triemli, Zurich, Zurich, Switzerland.ORCID 0000-0001-5822-5964
Michael DietrichCity Hospital Waid and Triemli, Zurich, Zurich, Switzerland.ORCID 0000-0003-2512-3368
Maria Müller-StaubHanze University Groningen, Groningen, The Netherlands.ORCID 0000-0001-5194-6160
Triemli Hospital · CHUniversity of Vienna · ATUnion Bank of Switzerland · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAs the risk for malnutrition in older people in hospitals is often underreported, we aimed to develop a risk nursing diagnosis, including label, definition and risk factors.

designA convergent parallel mixed-methods design was employed.

methodsA literature review led to risk factors, validated by 22 hospitalized older people's perspectives and observations, including their nursing records. Per participant, one interview (qualitative), one non-participatory observation of three meals (198 hr; qualitative) and one nursing record evaluation (quantitative) were conducted.

findingsAccording to the classification system of NANDA International, the risk for protein-energy malnutrition is defined with 18 risk factors, including associated conditions. Content validated risk factors are presented from three participants with the most, medium and least coherent nursing record, measured with the Quality of Diagnosis, Intervention and Outcomes tool.

conclusionThis new nursing diagnosis supports nurses to manage the risk for malnutrition and optimize older people's nutrition.

Indexed as

MalnutritionNursing ProcessAgedHumansNursing DiagnosisNursing RecordsNutritional Status80 and overagedinterventions and outcomes (Q-DIO)mixed methodnursing diagnosisnursing processprotein-energy malnutritionquality of nursing diagnosisrisk assessmentstandardized nursing terminology

Identifiers

PMID33476490
PMCPMC8046117
OpenAlexW3121257316

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.