Comparison of Content and Psychometric Properties of Malnutrition Outcome Measures: A Systematic Review

OBJECTIVE: To determine the most-often used outcome measures for malnutrition risk and malnutrition, analyse outcome measure content, and assess psychometric properties. METHODS: MEDLINE, SAGE Journals, Web of Science, SCOPUS, ProQuest and Science Direct databases were searched to identify outcome m...

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Bibliographic Details
Main Authors: Bērziņa, G. (Author), Salaka, S. (Author), Savicka, L. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2022
Subjects:
Online Access:View Fulltext in Publisher
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001 10.2340-jrm.v54.2447
008 220630s2022 CNT 000 0 und d
020 |a 16512081 (ISSN) 
245 1 0 |a Comparison of Content and Psychometric Properties of Malnutrition Outcome Measures: A Systematic Review 
260 0 |b NLM (Medline)  |c 2022 
520 3 |a OBJECTIVE: To determine the most-often used outcome measures for malnutrition risk and malnutrition, analyse outcome measure content, and assess psychometric properties. METHODS: MEDLINE, SAGE Journals, Web of Science, SCOPUS, ProQuest and Science Direct databases were searched to identify outcome measures. Outcome measure content was compared using the International Classification of Functioning Disability and Health (ICF). Psychometric properties were also systematically searched and compared. This review was prepared according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS: A total of 1,311 studies met the inclusion criteria. The most-often used outcome measures for detecting malnutrition or its risk overall were: body mass index (590), albumin (469), Mini Nutritional Assessment (312), haemoglobin (251), and Subjective Global Assessment (139). The most psychometrically sound outcome measure was Mini Nutritional Assessment, but the most comprehensive measure, covering the most ICF categories, was Patient-Generated Subjective Global Assessment, with a total of 58 meaningful concepts. CONCLUSION: The results provide an insight into the content and psychometric quality of malnutrition risk and malnutrition outcome measures. There was some variation between the way reviewers linked meaningful concepts to ICF, and literature gaps were identified regarding psychometric properties. These results can be used to help select the most appropriate malnutrition outcome measure. 
650 0 4 |a disabled person 
650 0 4 |a Disabled Persons 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a malnutrition 
650 0 4 |a Malnutrition 
650 0 4 |a Outcome Assessment, Health Care 
650 0 4 |a procedures 
650 0 4 |a Psychometrics 
650 0 4 |a psychometry 
700 1 0 |a Bērziņa, G.  |e author 
700 1 0 |a Salaka, S.  |e author 
700 1 0 |a Savicka, L.  |e author 
773 |t Journal of rehabilitation medicine 
856 |z View Fulltext in Publisher  |u https://doi.org/10.2340/jrm.v54.2447