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Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit

BACKGROUND: People with severe mental illness have poorer physical health, experience disparities in physical health care, and lead significantly shorter lives, compared to the general population. Routine metabolic monitoring is proposed as a method of identifying risk factors for metabolic abnormal...

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Autores principales: Happell, Brenda, Platania-Phung, Chris, Gaskin, Cadeyrn J., Stanton, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837626/
https://www.ncbi.nlm.nih.gov/pubmed/27095252
http://dx.doi.org/10.1186/s12888-016-0814-9
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author Happell, Brenda
Platania-Phung, Chris
Gaskin, Cadeyrn J.
Stanton, Robert
author_facet Happell, Brenda
Platania-Phung, Chris
Gaskin, Cadeyrn J.
Stanton, Robert
author_sort Happell, Brenda
collection PubMed
description BACKGROUND: People with severe mental illness have poorer physical health, experience disparities in physical health care, and lead significantly shorter lives, compared to the general population. Routine metabolic monitoring is proposed as a method of identifying risk factors for metabolic abnormalities. Efforts to date suggest routine metabolic monitoring is both incomplete and ad-hoc, however. This present study reports on the recent implementation of a routine metabolic monitoring form at a mental health service in regional Australia. METHODS: A retrospective file audit was undertaken on 721 consumers with electronic health records at the mental health service. Descriptive statistics were used to report the frequency of use of the metabolic monitoring form and the range of metabolic parameters that had been recorded. RESULTS: Consumers had an average age of 41.4 years (SD = 14.6), over half were male (58.4 %), and the most common psychiatric diagnosis was schizophrenia (42.3 %). The metabolic monitoring forms of 36 % of consumers contained data. Measurements were most commonly recorded for weight (87.4 % of forms), height (85.4 %), blood pressure (83.5 %), and body mass index (73.6 %). Data were less frequently recorded for lipids (cholesterol, 56.3 %; low density lipoprotein, 48.7 %; high density lipoprotein, 51.7 %; triglycerides, 55.2 %), liver function (alanine aminotransferase, 66.3 %; aspartate aminotransferase, 65.5 %; gamma-glutamyl transpeptidase, 64.8 %), renal function (urea, 66.3 %; creatinine, 65.9 %), fasting blood glucose (60.2 %), and waist circumference (54.4 %). CONCLUSIONS: The metabolic monitoring forms in consumer electronic health records are not utilised in a manner that maximises their potential. The extent of the missing data suggests that the metabolic health of most consumers may not have been adequately monitored. Addressing the possible reasons for the low completion rate has the potential to improve the provision of physical health care for people with mental illness.
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spelling pubmed-48376262016-04-21 Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit Happell, Brenda Platania-Phung, Chris Gaskin, Cadeyrn J. Stanton, Robert BMC Psychiatry Research Article BACKGROUND: People with severe mental illness have poorer physical health, experience disparities in physical health care, and lead significantly shorter lives, compared to the general population. Routine metabolic monitoring is proposed as a method of identifying risk factors for metabolic abnormalities. Efforts to date suggest routine metabolic monitoring is both incomplete and ad-hoc, however. This present study reports on the recent implementation of a routine metabolic monitoring form at a mental health service in regional Australia. METHODS: A retrospective file audit was undertaken on 721 consumers with electronic health records at the mental health service. Descriptive statistics were used to report the frequency of use of the metabolic monitoring form and the range of metabolic parameters that had been recorded. RESULTS: Consumers had an average age of 41.4 years (SD = 14.6), over half were male (58.4 %), and the most common psychiatric diagnosis was schizophrenia (42.3 %). The metabolic monitoring forms of 36 % of consumers contained data. Measurements were most commonly recorded for weight (87.4 % of forms), height (85.4 %), blood pressure (83.5 %), and body mass index (73.6 %). Data were less frequently recorded for lipids (cholesterol, 56.3 %; low density lipoprotein, 48.7 %; high density lipoprotein, 51.7 %; triglycerides, 55.2 %), liver function (alanine aminotransferase, 66.3 %; aspartate aminotransferase, 65.5 %; gamma-glutamyl transpeptidase, 64.8 %), renal function (urea, 66.3 %; creatinine, 65.9 %), fasting blood glucose (60.2 %), and waist circumference (54.4 %). CONCLUSIONS: The metabolic monitoring forms in consumer electronic health records are not utilised in a manner that maximises their potential. The extent of the missing data suggests that the metabolic health of most consumers may not have been adequately monitored. Addressing the possible reasons for the low completion rate has the potential to improve the provision of physical health care for people with mental illness. BioMed Central 2016-04-19 /pmc/articles/PMC4837626/ /pubmed/27095252 http://dx.doi.org/10.1186/s12888-016-0814-9 Text en © Happell et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Happell, Brenda
Platania-Phung, Chris
Gaskin, Cadeyrn J.
Stanton, Robert
Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
title Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
title_full Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
title_fullStr Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
title_full_unstemmed Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
title_short Use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
title_sort use of an electronic metabolic monitoring form in a mental health service – a retrospective file audit
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837626/
https://www.ncbi.nlm.nih.gov/pubmed/27095252
http://dx.doi.org/10.1186/s12888-016-0814-9
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