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Related Experiment Video

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Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
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Using an interactive nutrition technology platform to predict malnutrition risk.

Erin Fisher1,2, Georgina Luscombe3, David Schmidt4

  • 1Armidale Rural Referral Hospital, Hunter New England Local Health District, Armidale, NSW, Australia.

Journal of Human Nutrition and Dietetics : the Official Journal of the British Dietetic Association
|September 9, 2022
PubMed
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The Nutrition Dashboard can help identify malnutrition in hospitalized patients. This nutrition technology platform shows potential for improving malnutrition screening when adapted for complex patient needs.

Keywords:
energy intakehospitalsinformaticsmalnutritiontechnology

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Area of Science:

  • Clinical Nutrition
  • Health Informatics
  • Medical Technology

Background:

  • Malnutrition poses a significant risk to hospitalized patients.
  • Accurate and timely identification of malnutrition is crucial for effective patient care.
  • Existing malnutrition screening tools may have limitations in dynamic hospital environments.

Purpose of the Study:

  • To evaluate the effectiveness of the Nutrition Dashboard in identifying malnutrition.
  • To compare the Nutrition Dashboard's performance against a validated Malnutrition Screening Tool (MST).

Main Methods:

  • A retrospective observational study was conducted in a 99-bed hospital.
  • Medical records and food intake data from the Nutrition Dashboard were analyzed.
  • Inter-rater reliability for food intake estimation showed good agreement between catering staff and a dietitian (κ=0.69).

Main Results:

  • Individuals in the highest Nutrition Dashboard risk category were 1.93 times more likely to have an MST score indicating risk.
  • Lower patient weight was identified as the sole significant predictor of MST score ≥ 2 when included in the model.
  • The study analyzed data from 216 individuals over 1783 hospital-stay days.

Conclusions:

  • The Nutrition Dashboard demonstrates potential as a tool for malnutrition screening in hospital settings.
  • Further technological adaptations are needed to enhance its utility in identifying malnutrition.
  • Integrating nutrition intake technology can support clinical decision-making for at-risk patients.