Evidence map›Paper›PMID 30323176›Full record

ArticleEuropean journal of clinical nutrition2019

The impact of using a malnutrition screening tool in a hospital setting: a mixed methods study.

Doris Eglseer, Daniela Schoberer, Ruud Halfens, Christa Lohrmann

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2019. 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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Doris EglseerInstitute of Nursing Science, Medical University of Graz, Graz, Austria. doris.eglseer@medunigraz.at.
Daniela SchobererInstitute of Nursing Science, Medical University of Graz, Graz, Austria.
Ruud HalfensDepartment of Health Services Research, CAPHRI, Maastricht University, Maastricht, The Netherlands.
Christa LohrmannInstitute of Nursing Science, Medical University of Graz, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMalnutrition risk screening represents a crucial starting point for the successful management of malnourished patients. This study was conducted to (1) examine the effect of the use of a malnutrition screening tool on process indicators of nutritional care and (2) explore healthcare professionals' perceptions and opinions regarding this tool.

methodsA mixed methods design was used. A controlled pretest-posttest study was conducted to carry out quantitative analyses, and semi-structured, qualitative interviews were held. Quantitative data were analysed with descriptive statistics, Chi-squared tests, Student's t-tests and Kruskal-Wallis H tests, using SPSS 23. Qualitative data were analysed by performing a qualitative content analysis using MAXQDA 12. Two comparable hospitals participated in the study, representing one intervention group (IG) and one control group (CG). The Graz Malnutrition Screening Tool (GMS) was implemented and used in the IG for at least 1 month, while the CG received no intervention.

resultsThe use of the screening tool positively correlated with significant improvements in the process indicators of nutritional care after 1 month, in terms of the number of nutritional interventions and the frequency of documentation of the diagnosis and the patient's weight and height. The content of the interviews revealed that nearly all professionals involved perceived the overall screening process positively. Few barriers were identified.

conclusionsThe results of this study show that the use of a screening tool has a positive, short-term impact on the hospital's process quality of nutritional care. Ongoing efforts are required to sustainably maintain these positive changes. During this process, positive attitudes, nomination of motivated 'opinion-leaders' and concerted management support are helpful facilitators.

Indexed as

Attitude of Health PersonnelInpatientsNutrition AssessmentAgedAustriaFemaleHumansInterviews as TopicMaleNetherlandsNutritional SupportProtein-Energy MalnutritionQuality Improvement

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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.