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

Happell, Brenda, Platania-Phung, Chris, Gaskin, Cadeyrn J. and Stanton, Robert 2016, Use of an electronic metabolic monitoring form in a mental health service - a retrospective file audit, BMC psychiatry, vol. 16, pp. 1-8, doi: 10.1186/s12888-016-0814-9.

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Title Use of an electronic metabolic monitoring form in a mental health service - a retrospective file audit
Author(s) Happell, Brenda
Platania-Phung, Chris
Gaskin, Cadeyrn J.
Stanton, Robert
Journal name BMC psychiatry
Volume number 16
Article ID 109
Start page 1
End page 8
Total pages 8
Publisher BioMed Central
Place of publication London, Eng.
Publication date 2016-04-19
ISSN 1471-244X
Keyword(s) cardiometabolic
mental health service
monitoring
physical health
severe mental illness
adult
aged
Australia
body mass index
female
humans
male
medical audit
mental disorders
mental health services
metabolic syndrome x
middle aged
retrospective studies
risk assessment
risk factors
waist circumference
Summary 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.
Language eng
DOI 10.1186/s12888-016-0814-9
Field of Research 110399 Clinical Sciences not elsewhere classified
1103 Clinical Sciences
Socio Economic Objective 920209 Mental Health Services
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090119

Document type: Journal Article
Collections: School of Psychology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.