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Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups
AIMS: To determine whether there are any gaps in cardiometabolic monitoring within primary or secondary care for people prescribed antipsychotic medication. A well-established system of cardiometabolic monitoring and checks has been implemented for patients with psychosis and bipolar in secondary ca...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378046/ http://dx.doi.org/10.1192/bjo.2022.317 |
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author | Ansari, Tanya Majid, Zafrina Mohamed, Ashma Schmidt, Martin |
author_facet | Ansari, Tanya Majid, Zafrina Mohamed, Ashma Schmidt, Martin |
author_sort | Ansari, Tanya |
collection | PubMed |
description | AIMS: To determine whether there are any gaps in cardiometabolic monitoring within primary or secondary care for people prescribed antipsychotic medication. A well-established system of cardiometabolic monitoring and checks has been implemented for patients with psychosis and bipolar in secondary care. It was unclear whether patients without these diagnoses were receiving the same level of monitoring. METHODS: Data were collected retrospectively from case notes of service users under CMHRS Reigate. We included all patients from three GP practices (100 patients) and identified all who were prescribed antipsychotics and their diagnoses. The GP practices were contacted to determine whether a system was in place to flag physical health monitoring requirements for service users on antipsychotics regardless of diagnosis. The results were used to calculate the potential number of patients across the entire trust who were at risk of not receiving cardiometabolic monitoring. RESULTS: 24/100 patients were prescribed antipsychotics without a diagnosis of psychosis or bipolar. 11/24 had a diagnosis of Emotionally Unstable Personality Disorder. Quetiapine was the commonest antipsychotic. None received routine cardiometabolic monitoring. The total caseload for all 11 adult community teams in the Trust is 2434. If prescribing and monitoring practices are similar 584 individuals may be affected. 2/3 GP practices responded. Both confirmed that they would only conduct cardiometabolic monitoring when taking over prescribing/on discharge from secondary care if specifically requested to do so. CONCLUSION: This service improvement project has identified a significant group of patients who aren't automatically offered cardiometabolic monitoring in secondary care. Private correspondence from Professor David Taylor confirms that these patients would also benefit from monitoring when prescribed doses that are more likely to cause adverse effects (Quetiapine > 150mg/Olanzapine >5 mg Risperidone >2mg) Secondary services need to identify these patients and include them in routine cardiometabolic monitoring. Secondary services need to work closely with primary care to ensure that responsibility for checks is agreed and handed over when necessary. |
format | Online Article Text |
id | pubmed-9378046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93780462022-08-18 Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups Ansari, Tanya Majid, Zafrina Mohamed, Ashma Schmidt, Martin BJPsych Open Quality Improvement AIMS: To determine whether there are any gaps in cardiometabolic monitoring within primary or secondary care for people prescribed antipsychotic medication. A well-established system of cardiometabolic monitoring and checks has been implemented for patients with psychosis and bipolar in secondary care. It was unclear whether patients without these diagnoses were receiving the same level of monitoring. METHODS: Data were collected retrospectively from case notes of service users under CMHRS Reigate. We included all patients from three GP practices (100 patients) and identified all who were prescribed antipsychotics and their diagnoses. The GP practices were contacted to determine whether a system was in place to flag physical health monitoring requirements for service users on antipsychotics regardless of diagnosis. The results were used to calculate the potential number of patients across the entire trust who were at risk of not receiving cardiometabolic monitoring. RESULTS: 24/100 patients were prescribed antipsychotics without a diagnosis of psychosis or bipolar. 11/24 had a diagnosis of Emotionally Unstable Personality Disorder. Quetiapine was the commonest antipsychotic. None received routine cardiometabolic monitoring. The total caseload for all 11 adult community teams in the Trust is 2434. If prescribing and monitoring practices are similar 584 individuals may be affected. 2/3 GP practices responded. Both confirmed that they would only conduct cardiometabolic monitoring when taking over prescribing/on discharge from secondary care if specifically requested to do so. CONCLUSION: This service improvement project has identified a significant group of patients who aren't automatically offered cardiometabolic monitoring in secondary care. Private correspondence from Professor David Taylor confirms that these patients would also benefit from monitoring when prescribed doses that are more likely to cause adverse effects (Quetiapine > 150mg/Olanzapine >5 mg Risperidone >2mg) Secondary services need to identify these patients and include them in routine cardiometabolic monitoring. Secondary services need to work closely with primary care to ensure that responsibility for checks is agreed and handed over when necessary. Cambridge University Press 2022-06-20 /pmc/articles/PMC9378046/ http://dx.doi.org/10.1192/bjo.2022.317 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Quality Improvement Ansari, Tanya Majid, Zafrina Mohamed, Ashma Schmidt, Martin Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups |
title | Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups |
title_full | Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups |
title_fullStr | Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups |
title_full_unstemmed | Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups |
title_short | Antipsychotic Cardiometabolic Monitoring: Systemic Gaps and Hidden Groups |
title_sort | antipsychotic cardiometabolic monitoring: systemic gaps and hidden groups |
topic | Quality Improvement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378046/ http://dx.doi.org/10.1192/bjo.2022.317 |
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