ArticleBMC psychiatry2016
Use of an electronic metabolic monitoring form in a mental health service - a retrospective file audit.
Article in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 16 citations in OpenAlex.
- Obesity Prevalence and Associated Factors Among Users of Specialized Community Mental Health Services: An Observational Study.International journal of mental health nursing · 2026Observational
- Effectiveness of a complex psychosocial intervention to reduce metabolic syndrome in psychiatric outpatients with severe/persistent mental illness.Current psychology (New Brunswick, N.J.) · 2023Article
- [Antipsychotic prescription prevalence and metabolic monitoring of patients under chronic treatment].Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeople 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.
methodsA 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.
resultsConsumers 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%).
conclusionsThe 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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Registered trials
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