Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Comparison of professional judgment versus an algorithm for nutrition status classification

J C Lowery1, L D Hiller, J A Davis

  • 1VA Health Services Research and Development Field Program, Ann Arbor, MI 48113-0170, USA.

Medical Care
|November 20, 1998
PubMed
Summary

The Department of Veterans Affairs nutrition status classification system is reliable and valid, especially when using an algorithm. This approach enhances patient nutrition assessment and care across facilities.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Field applications of zein as a precise nanoscale delivery system for methoxyfenozide.

Journal of insect science (Online)·2023
Same author

Belowground Herbivory to Sweetpotato by Sweetpotato Weevil (Coleoptera: Brentidae) Alters Population Dynamics and Probing Behavior of Aboveground Herbivores.

Journal of economic entomology·2022
Same author

Author Correction: Motional narrowing, ballistic transport, and trapping of room-temperature exciton polaritons in an atomically-thin semiconductor.

Nature communications·2022
Same author

A systematic review of gut microbiota composition in observational studies of major depressive disorder, bipolar disorder and schizophrenia.

Molecular psychiatry·2022
Same author

Motional narrowing, ballistic transport, and trapping of room-temperature exciton polaritons in an atomically-thin semiconductor.

Nature communications·2021
Same author

The role of diet quality and dietary patterns in predicting muscle mass and function in men over a 15-year period.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2021

Area of Science:

  • Clinical Nutrition
  • Healthcare Quality Improvement
  • Health Services Research

Background:

  • Accurate patient nutrition status classification is crucial for effective nutrition interventions and healthcare delivery.
  • The Department of Veterans Affairs (VA) utilizes a nutrition status classification system to guide patient care.
  • Evaluating the reliability and validity of this system is essential for optimizing its use.

Purpose of the Study:

  • To assess the reliability and validity of two methods for classifying patient nutrition status within the VA system.
  • To compare the performance of professional judgment against a standardized algorithm for nutrition status classification.
  • To determine if improvements in training and instructions enhance classification accuracy.

Main Methods:

Related Experiment Videos

  • Two study phases involved approximately 60 registered dietitians and 60 clinical dietetic technicians assessing patient data.
  • Participants used both professional judgment and a specific algorithm to assign nutrition statuses.
  • Interrater reliability was calculated, and content validity was assessed against an expert panel's evaluations.

    • Main Results:

    • Both professional judgment and the algorithm showed significant improvements in reliability between study phases.
    • The algorithm demonstrated greater reliability and validity compared to professional judgment for both dietitians and technicians.
    • Enhanced instructions and training positively impacted classification consistency.

    Conclusions:

    • The VA nutrition status classification system is effective for rapid and reliable patient assessment, particularly when employing an algorithm.
    • Algorithm-based classification offers advantages for consistent application across diverse healthcare staff and multiple facilities.
    • Utilizing an algorithm enhances the cost-effectiveness and quality of healthcare through improved nutrition status assessment.