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Comparison of Professional Judgment Versus an Algorithm for Nutrition Status Classification

Dados Bibliográficos

ID9100992
AutoresJulie C Lowery (0000-0003-3973-7459, Health Services Research & Development, autor correspondente), Lynn D Hiller (0000-0002-2304-006X, James A. Haley Veterans' Hospital), Jennifer Davis (0000-0001-5368-4002, Health Services Research & Development, autor correspondente), Jennifer A Davis (0000-0002-6614-546X), Carole J Shore (Center for Food Safety and Applied Nutrition)
Ano1998
Volume36
Fascículo11
Páginas1578-1588
Data de publicação1998-11-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199811000-00007
PMID9821945
OpenAlexW2312585706
IdiomaEN
Referências citadas30

OBJECTIVES: The classification of a patient's nutrition status is important for identifying patients who require nutrition care, for designing effective nutrition interventions, and for measuring severity of illness. The objective of this study was to evaluate the reliability and validity of two variants of the Department of Veterans Affairs' nutrition status classification: professional judgment versus an algorithm. METHODS: The study consisted of two phases, both of which included providing a sample of approximately 60 registered dietitians and 60 clinical dietetic technicians with data on 16 (phase I) and 20 (phase II) patients, to which they assigned nutrition statuses using both professional judgment and the algorithm. Improvements in instructions and training were implemented between the two phases. Interrater reliability of the responses was calculated, and content validity was measured by comparing the staff's responses with those of an expert panel. RESULTS: Reliability improved significantly between phases for both professional judgment and the algorithm. Greater reliability and validity were observed with use of the algorithm, by both dietitians and technicians, during both phases. CONCLUSION: Classification of a patient's nutrition status is important in the delivery of cost-effective health care. The Department of Veterans Affairs' nutrition status classification is a good one for assessing nutrition status quickly and reliably, especially when an algorithm is used. The results underscore the advantages of a classification system based on an algorithm when the system is designed to be used by many different staff across multiple facilities

Algorithm · Health care · Inter-rater reliability · Psychological intervention · Rating scale · Reliability (semiconductor) · Veterans Affairs · Computer Science · Dietetics, Nutrition, and Education · Medicine · Nursing · Nutrition and Health in Aging · Obesity and Health Practices · Psychology

  • Statistical Methods for Rates and Proportions

    Open Access•Joseph L Fleiss, Bruce Levin et al.•Statistical methods for rates and…•2003

  • On the Methods and Theory of Reliability

    John J Bartko, Will Tom Carpenter et al.•The Journal of Nervous and Mental…•1976

  • Clinical Versus Actuarial Judgment

    Open Access•Robyn M Dawes, David Faust et al.•Science•1989

  • Nutrition and health risks in the elderly

    Barbara M Posner, Alan M Jette et al.•American Journal of Public Health•1993

Velocidade de citaçãohistorical
Altamente citadoNão
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