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Improving rates of metabolic monitoring on an inpatient psychiatric ward

OBJECTIVES: Cardiovascular disease is the leading cause of premature death in patients with mental illness. Metabolic syndrome is a cluster of co-occurring cardiovascular risk factors, seen in high frequency in severe mental illness. Despite ease of diagnosis, monitoring is often poor across psychia...

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Autores principales: Michael, Sarah, MacDonald, Kirsty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375397/
https://www.ncbi.nlm.nih.gov/pubmed/32699081
http://dx.doi.org/10.1136/bmjoq-2019-000748
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author Michael, Sarah
MacDonald, Kirsty
author_facet Michael, Sarah
MacDonald, Kirsty
author_sort Michael, Sarah
collection PubMed
description OBJECTIVES: Cardiovascular disease is the leading cause of premature death in patients with mental illness. Metabolic syndrome is a cluster of co-occurring cardiovascular risk factors, seen in high frequency in severe mental illness. Despite ease of diagnosis, monitoring is often poor across psychiatric populations. This report details a quality improvement initiative undertaken on an inpatient psychiatric ward to improve rates of metabolic monitoring. METHODS: Four key interventions were developed: (1) A nurse-led intervention, where nurses were upskilled in performing metabolic monitoring, (2) Education was provided to all staff, (3) Introduction of a suite of interventions to improve metabolic risk and (4) Ongoing consumer involvement. A pre–post intervention study design was used to measure effectiveness, with an audit of metabolic monitoring rates performed 12 months after the intervention began. RESULTS: Rates of weight and height monitoring both increased from 46.0% to 69.5% (p=0.0185) and body mass index (BMI) recordings increased from 33% to 63% (p=0.0031). Rates of waist circumference monitoring increased from 44.2% to 65.2% (p=0.0498). Blood pressure (BP) measurements increased from 88.5% to 100% (p=0.0188). Lipid monitoring rates improved from 23% to 69.5% (p=0.001). Rates of glucose monitoring increased from 74% to 82.5% (p=0.8256), although this was not statistically significant. CONCLUSIONS: We found that metabolic monitoring improved following these simple interventions, with a statistically significant increase in measurement rates of weight, BP, height, lipids, BMI and waist circumference (p<0.05). Overall monitoring of glucose also improved, although not to significant levels. The intervention was acceptable to both patients and staff.
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spelling pubmed-73753972020-07-27 Improving rates of metabolic monitoring on an inpatient psychiatric ward Michael, Sarah MacDonald, Kirsty BMJ Open Qual Quality Improvement Report OBJECTIVES: Cardiovascular disease is the leading cause of premature death in patients with mental illness. Metabolic syndrome is a cluster of co-occurring cardiovascular risk factors, seen in high frequency in severe mental illness. Despite ease of diagnosis, monitoring is often poor across psychiatric populations. This report details a quality improvement initiative undertaken on an inpatient psychiatric ward to improve rates of metabolic monitoring. METHODS: Four key interventions were developed: (1) A nurse-led intervention, where nurses were upskilled in performing metabolic monitoring, (2) Education was provided to all staff, (3) Introduction of a suite of interventions to improve metabolic risk and (4) Ongoing consumer involvement. A pre–post intervention study design was used to measure effectiveness, with an audit of metabolic monitoring rates performed 12 months after the intervention began. RESULTS: Rates of weight and height monitoring both increased from 46.0% to 69.5% (p=0.0185) and body mass index (BMI) recordings increased from 33% to 63% (p=0.0031). Rates of waist circumference monitoring increased from 44.2% to 65.2% (p=0.0498). Blood pressure (BP) measurements increased from 88.5% to 100% (p=0.0188). Lipid monitoring rates improved from 23% to 69.5% (p=0.001). Rates of glucose monitoring increased from 74% to 82.5% (p=0.8256), although this was not statistically significant. CONCLUSIONS: We found that metabolic monitoring improved following these simple interventions, with a statistically significant increase in measurement rates of weight, BP, height, lipids, BMI and waist circumference (p<0.05). Overall monitoring of glucose also improved, although not to significant levels. The intervention was acceptable to both patients and staff. BMJ Publishing Group 2020-07-21 /pmc/articles/PMC7375397/ /pubmed/32699081 http://dx.doi.org/10.1136/bmjoq-2019-000748 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Quality Improvement Report
Michael, Sarah
MacDonald, Kirsty
Improving rates of metabolic monitoring on an inpatient psychiatric ward
title Improving rates of metabolic monitoring on an inpatient psychiatric ward
title_full Improving rates of metabolic monitoring on an inpatient psychiatric ward
title_fullStr Improving rates of metabolic monitoring on an inpatient psychiatric ward
title_full_unstemmed Improving rates of metabolic monitoring on an inpatient psychiatric ward
title_short Improving rates of metabolic monitoring on an inpatient psychiatric ward
title_sort improving rates of metabolic monitoring on an inpatient psychiatric ward
topic Quality Improvement Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375397/
https://www.ncbi.nlm.nih.gov/pubmed/32699081
http://dx.doi.org/10.1136/bmjoq-2019-000748
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