Evidence map›Paper›PMID 32824018›Full record

ArticleInternational journal of environmental research and public health2020

Profiling Malnutrition Prevalence among Australian Rural In-Patients Using a Retrospective Census of Electronic Medical Files over a 12-Month Period.

Laura Alston, Megan Green, Vincent L Versace, Kristy A Bolton, Kay Widdicombe, Alison Buccheri, Didir Imran, Steven Allender, Liliana Orellana, Melanie Nichols

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Addressing Malnutrition in Australian Hospitals: A Scoping Review to Inform Systems Thinking.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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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

10 authors at 1 institution in 1 country.

Laura AlstonGlobal Obesity Centre (GLOBE), Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC 3220, Australia.
Megan GreenColac Area Health, Colac, VIC 3250, Australia.
Vincent L VersaceDeakin Rural Health, Faculty of Health, Deakin University, Geelong 3220, Australia.ORCID 0000-0002-8514-1763
Kristy A BoltonInstitute for Physical Activity and Nutrition, Deakin University, Geelong 3220, Victoria, Australia.
Kay WiddicombeColac Area Health, Colac, VIC 3250, Australia.
Alison BuccheriColac Area Health, Colac, VIC 3250, Australia.
Didir ImranColac Area Health, Colac, VIC 3250, Australia.
Steven AllenderGlobal Obesity Centre (GLOBE), Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC 3220, Australia.
Liliana OrellanaBiostatistics Unit, Faculty of Health, Deakin University, Geelong, VIC 3220, Australia.ORCID 0000-0003-3736-4337
Melanie NicholsGlobal Obesity Centre (GLOBE), Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC 3220, Australia.
Deakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In-patient malnutrition leads to poor outcomes and mortality, and it is largely uninvestigated in non-urban populations. This study sought to: (1) retrospectively estimate the prevalence of malnutrition as diagnosed by dietetics in the rural Australian setting; (2) establish the proportion of all patients at "nutritional risk"; and (3) explore associations between demographic and clinical factors with malnutrition diagnosis and nutritional risk. A retrospective census was undertaken of medical files of all patients aged ≥18 years admitted to a rural hospital setting over a 12-month period. Logistic regression was used to explore associations between malnutrition diagnosis, nutritional risk and patient-related factors. In total, 711 admissions were screened during the 12-month period comprising 567 patients. Among the 125 patients seen by dietitians, 70.4% were diagnosed with malnutrition. Across the total sample, 77.0% had high levels of nutrition related symptoms warranting a need for further assessment by dietitians. Malnutrition diagnosis by dietitians was associated with being over the age of 65 years, and patients had higher odds of being admitted to a residential aged care facility following discharge. In this rural sample, the diagnosis rate of malnutrition appeared to be high, indicating that rural in-patients may be at a high risk of malnutrition. There was also a high proportion of patients who had documentation in their files that indicated they may have benefited from dietetic assessment and intervention, beyond current resourcing.

Indexed as

CensusesAustraliaFemaleHumansMaleMalnutritionNutritional StatusNutrition AssessmentPrevalenceRetrospective StudiesRural Populationcensuselectronic medical filesin-patientsmalnutritionmalnutrition riskrural

Identifiers

PMID32824018
PMCPMC7459593
OpenAlexW3049717388

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.