Evidence map›Paper›PMID 34847947›Full record

ReviewBMC health services research2021

Identification of nutritional risk in the acute care setting: progress towards a practice and evidence informed systems level approach.

Diane Chamberlain, Sebastian Doeltgen, Reegan Knowles, Alison Yaxley, Michelle Miller

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Exploring Patient Mealtime Experience in an Acute Care Setting Using the Modified Austin Health Patient Mealtime Experience Tool.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  2. Using a multi-stakeholder co-design process to develop a health service organisation-wide patient reported outcome measure collection system.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Diane ChamberlainCaring Futures Institute, College of Nursing and Health Sciences, GPO Box 2100, Adelaide, 5001, Australia. di.chamberlain@flinders.edu.au.
Sebastian DoeltgenCaring Futures Institute, College of Nursing and Health Sciences, GPO Box 2100, Adelaide, 5001, Australia.
Reegan KnowlesCollege of Nursing and Health Sciences, GPO Box 2100, Adelaide, 5001, Australia.
Alison YaxleyCaring Futures Institute, College of Nursing and Health Sciences, GPO Box 2100, Adelaide, 5001, Australia.
Michelle MillerCaring Futures Institute, College of Nursing and Health Sciences, GPO Box 2100, Adelaide, 5001, Australia.
Flinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve nutritional assessment and care pathways in the acute care setting, it is important to understand the indicators that may predict nutritional risk. Informed by a review of systematic reviews, this project engaged stakeholders to prioritise and reach consensus on a list of evidence based and clinically contextualised indicators for identifying malnutrition risk in the acute care setting.

methodsA modified Delphi approach was employed which consisted of four rounds of consultation with 54 stakeholders and 10 experts to reach consensus and refine a list of 57 risk indicators identified from a review of systematic reviews. Weighted mean and variance scores for each indicator were evaluated. Consistency was tested with intra class correlation coefficient. Cronbach's alpha was used to determine the reliability of the indicators. The final list of indicators was subject to Cronbach's alpha and exploratory principal component analysis.

resultsFifteen indicators were considered to be the most important in identifying nutritional risk. These included difficulty self-feeding, polypharmacy, surgery and impaired gastro-intestinal function. There was 82% agreement for the final 15 indicators that they collectively would predict malnutrition risk in hospital inpatients.

conclusionThe 15 indicators identified are supported by evidence and are clinically informed. This represents an opportunity for translation into a novel and automated systems level approach for identifying malnutrition risk in the acute care setting.

Indexed as

MalnutritionConsensusDelphi TechniqueHumansReproducibility of ResultsSystematic Reviews as Topicacute careDelphiMalnutritionriskscreening

Identifiers

PMID34847947
PMCPMC8638168
OpenAlexW3193110825

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.