Evidence map›Paper›PMID 38674830›Full record

ArticleNutrients2024

Patient-Led, Technology-Assisted Malnutrition Risk Screening in Hospital: A Feasibility Study.

Shelley Roberts, Andrea P Marshall, Leisa Bromiley, Zane Hopper, Joshua Byrnes, Lauren Ball, Peter F Collins, Jaimon Kelly

Abstract read
In one paragraph

Article in Nutrients, 2024. 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
–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

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

  1. Pooled it
  2. Article
  3. 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
    Article
  4. Impact of COVID-19 on early identification of protein-energy malnutrition in the cancer care setting: a repeated cross-sectional survey of cancer care professionals.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Observational
  7. Harnessing delegation and technology to identify and manage malnutrition in a digital hospital: An implementation study.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
    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

8 authors.

Shelley RobertsSchool of Health Sciences and Social Work, Griffith University, Southport, QLD 4222, Australia.ORCID 0000-0002-7779-8415
Andrea P MarshallSchool of Nursing and Midwifery, Griffith University, Southport, QLD 4222, Australia.ORCID 0000-0001-7692-403X
Leisa BromileyNutrition and Food Services, Gold Coast Hospital and Health Service, Southport, QLD 4215, Australia.
Zane HopperSchool of Health Sciences and Social Work, Griffith University, Southport, QLD 4222, Australia.
Joshua ByrnesCentre for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia.
Lauren BallCentre for Community Health and Wellbeing, The University of Queensland, St Lucia, QLD 4072, Australia.
Peter F CollinsFaculty of Medicine and Health, Sydney Nursing School/Susan Wakil School of Nursing and Midwifery, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-5273-8213
Jaimon KellyCentre for Online Health, The University of Queensland, Woolloongabba, QLD 4102, Australia.

Funding

Gold Coast Health RGS2020-027
6 · The paper itself

Abstract

Malnutrition risk screening is crucial to identify at-risk patients in hospitals; however, screening rates can be suboptimal. This study evaluated the feasibility, acceptability, and potential cost-effectiveness of patient-led, technology-assisted malnutrition risk screening. A prospective multi-methods study was conducted in a 750-bed public hospital in Australia. Patients were recruited from seven wards and asked to complete an electronic version of the Malnutrition Screening Tool (e-MST) on bedside computer screens. Data were collected on feasibility, acceptability, and cost. Feasibility data were compared to pre-determined criteria on recruitment (≥50% recruitment rate) and e-MST completion (≥75% completion rate). Quantitative acceptability (survey) data were analyzed descriptively. Patient interview data were analyzed thematically. The economic evaluation was from the perspective of the health service using a decision tree analytic model. Both feasibility criteria were met; the recruitment rate was 78% and all 121 participants (52% male, median age 59 [IQR 48-69] years) completed the e-MST. Patient acceptability was high. Patient-led e-MST was modeled to save $3.23 AUD per patient and yield 6.5 more true malnutrition cases (per 121 patients) with an incremental cost saving per additional malnutrition case of 0.50 AUD. Patient-led, technology-assisted malnutrition risk screening was found to be feasible, acceptable to patients, and cost-effective (higher malnutrition yield and less costly) compared to current practice at this hospital.

Indexed as

Cost-Benefit AnalysisFeasibility StudiesMalnutritionMass ScreeningAgedAustraliaFemaleHospitals, PublicHumansMaleMiddle AgedNutrition AssessmentProspective StudiesRisk Assessmentelectronic nutrition screeninghospital malnutritionmalnutrition risk screeningpatient-led screeningpatient self-screening

Identifiers

PMID38674830
PMCPMC11055004

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.