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Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population

BACKGROUND: The Global Assessment of Functioning (GAF) is a widely used measure of psychiatric symptoms and functioning, yet numerous concerns persist about its reliability and validity. The objective of this study was to determine the extent to which GAF scores reflect physician-related differences...

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Autores principales: Urbanoski, Karen A, Henderson, Cecile, Castel, Saulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974026/
https://www.ncbi.nlm.nih.gov/pubmed/24592853
http://dx.doi.org/10.1186/1471-244X-14-63
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author Urbanoski, Karen A
Henderson, Cecile
Castel, Saulo
author_facet Urbanoski, Karen A
Henderson, Cecile
Castel, Saulo
author_sort Urbanoski, Karen A
collection PubMed
description BACKGROUND: The Global Assessment of Functioning (GAF) is a widely used measure of psychiatric symptoms and functioning, yet numerous concerns persist about its reliability and validity. The objective of this study was to determine the extent to which GAF scores reflect physician-related differences in addition to information about patients. METHODS: This is a secondary analysis of clinical data collected between 2005 and 2010 from inpatients at a psychiatric hospital (N = 1,852). Multilevel modeling was used to estimate the influence of physicians on GAF scores at admission and on the change between admission and discharge, controlling for patient clinical presentation. RESULTS: Controlling for patient-level predictors, 7% of the residual variance in admission GAF scores and 8% of the residual variance in change scores was at the physician level. The physician-level variance was significantly larger than zero in both models. CONCLUSIONS: Although statistically significant, estimates of physician-level variance were not overwhelming, suggesting that the GAF was rated in a consistent manner across physicians in this hospital. While results lend support to the utility of the GAF for drawing comparisons between patients seen by different physicians across a large institution, further study is necessary to determine generalizability and to assess differences across multiple institutions.
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spelling pubmed-39740262014-04-04 Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population Urbanoski, Karen A Henderson, Cecile Castel, Saulo BMC Psychiatry Research Article BACKGROUND: The Global Assessment of Functioning (GAF) is a widely used measure of psychiatric symptoms and functioning, yet numerous concerns persist about its reliability and validity. The objective of this study was to determine the extent to which GAF scores reflect physician-related differences in addition to information about patients. METHODS: This is a secondary analysis of clinical data collected between 2005 and 2010 from inpatients at a psychiatric hospital (N = 1,852). Multilevel modeling was used to estimate the influence of physicians on GAF scores at admission and on the change between admission and discharge, controlling for patient clinical presentation. RESULTS: Controlling for patient-level predictors, 7% of the residual variance in admission GAF scores and 8% of the residual variance in change scores was at the physician level. The physician-level variance was significantly larger than zero in both models. CONCLUSIONS: Although statistically significant, estimates of physician-level variance were not overwhelming, suggesting that the GAF was rated in a consistent manner across physicians in this hospital. While results lend support to the utility of the GAF for drawing comparisons between patients seen by different physicians across a large institution, further study is necessary to determine generalizability and to assess differences across multiple institutions. BioMed Central 2014-03-04 /pmc/articles/PMC3974026/ /pubmed/24592853 http://dx.doi.org/10.1186/1471-244X-14-63 Text en Copyright © 2014 Urbanoski et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Urbanoski, Karen A
Henderson, Cecile
Castel, Saulo
Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
title Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
title_full Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
title_fullStr Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
title_full_unstemmed Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
title_short Multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
title_sort multilevel analysis of the determinants of the global assessment of functioning in an inpatient population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3974026/
https://www.ncbi.nlm.nih.gov/pubmed/24592853
http://dx.doi.org/10.1186/1471-244X-14-63
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