No Cover Image

Journal article 268 views 81 downloads

Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study

Naomi Launders Orcid Logo, Caroline Anne Jackson Orcid Logo, Joseph F Hayes Orcid Logo, Ann John Orcid Logo, Robert Stewart Orcid Logo, Matthew H Iveson Orcid Logo, Elvira Bramon Orcid Logo, Bruce Guthrie Orcid Logo, Stewart William Mercer Orcid Logo, David P J Osborn Orcid Logo

BMJ Mental Health, Volume: 28, Issue: 1, Start page: e301409

Swansea University Author: Ann John Orcid Logo

  • 70076.VOR.pdf

    PDF | Version of Record

    © Author(s) (or their employer(s)) 2025. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license.

    Download (884.44KB)

Check full text

DOI (Published version): 10.1136/bmjment-2024-301409

Abstract

Background: People with severe mental illness (SMI) are at increased risk of cardiovascular disease (CVD), and initiatives for CVD risk factor screening in the UK have not reduced disparities. Objectives: To describe the annual screening prevalence for CVD risk factors in people with SMI from April...

Full description

Published in: BMJ Mental Health
ISSN: 2755-9734
Published: BMJ Publishing Group Ltd 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa70076
first_indexed 2025-07-31T11:48:27Z
last_indexed 2025-08-01T14:34:00Z
id cronfa70076
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-07-31T12:50:55.9333474</datestamp><bib-version>v2</bib-version><id>70076</id><entry>2025-07-31</entry><title>Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study</title><swanseaauthors><author><sid>ed8a9c37bd7b7235b762d941ef18ee55</sid><ORCID>0000-0002-5657-6995</ORCID><firstname>Ann</firstname><surname>John</surname><name>Ann John</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-07-31</date><deptcode>MEDS</deptcode><abstract>Background: People with severe mental illness (SMI) are at increased risk of cardiovascular disease (CVD), and initiatives for CVD risk factor screening in the UK have not reduced disparities. Objectives: To describe the annual screening prevalence for CVD risk factors in people with SMI from April 2000 to March 2018, and to identify factors associated with receiving no screening and regular screening. Methods: We identified adults with a diagnosis of SMI (schizophrenia, bipolar disorder or &#x2018;other psychosis&#x2019;) from UK primary care records in Clinical Practice Research Datalink. We calculated the annual prevalence of screening for blood pressure, cholesterol, glucose, body mass index, alcohol consumption and smoking status using multinomial logistic regression to identify factors associated with receiving no screening and complete screening. Results: Of 216 136 patients with SMI, 55% received screening for all six CVD risk factors at least once during follow-up and 35% received all six within a 1-month period. Our findings suggest that patient characteristics and financial incentivisation influence screening prevalence of individual CVD risk factors, the likelihood of receiving screening for all six CVD risk factors annually and risk of receiving no screening. Conclusions: The low proportion of people with SMI receiving regular comprehensive CVD risk factor screening is concerning. Screening needs to be embedded as part of broad physical health checks to ensure the health needs of people with SMI are being met. If we are to improve cardiovascular health, interventions are needed where risk of receiving no screening or not receiving regular screening is highest.</abstract><type>Journal Article</type><journal>BMJ Mental Health</journal><volume>28</volume><journalNumber>1</journalNumber><paginationStart>e301409</paginationStart><paginationEnd/><publisher>BMJ Publishing Group Ltd</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2755-9734</issnElectronic><keywords/><publishedDay>15</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-01-15</publishedDate><doi>10.1136/bmjment-2024-301409</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>This work was funded by the UK Research and Innovation grant (MR/W014386/1) as part of the Health Data Research (HDR) UK DATAMIND hub. NL, JFH, MHI, EB, RS, AJ and DPJO acknowledge funding from DATAMIND through this grant. NL is supported by an HDR UK personal fellowship (Big Data for Complex Disease driver programme: HDR-23012). This work is affiliated to HDR UK which is funded by the Medical Research Council (UKRI), the National Institute for Health Research, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council (UKRI), the Engineering and Physical Sciences Research Council (UKRI), Health and Care Research Wales, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, and Health and Social Care Research and Development Division (Public Health Agency, Northern Ireland). NL and JFH are additionally supported by the UK Research and Innovation grant (MR/V023373/1). NL, JFH, EB and DPJO are supported by the NIHR University College London Hospitals Biomedical Research Centre. NL, JFH and DPJO are supported by the NIHR North Thames Applied Research Collaboration. RS is additionally part funded by the NIHR Maudsley Biomedical Research Centre; the NIHR Applied Research Collaboration South London; the UK Prevention Research Partnership (Violence, Health and Society; MR-VO49879/1), an initiative funded by the UK Research and Innovation Councils, the Department of Health and Social Care (England) and the UK devolved administrations, and leading health research charities. MHI is additionally supported by the Wellcome Trust (220857/Z/20/Z; 226770/Z/22/Z; 104036/Z/14/Z; 216767/Z/19/Z) and by a Research Data Scotland Accelerator Award (RAS-24-2). EB acknowledges the additional support of Medical Research Council (G1100583, MR/W020238/1), National Institute of Health Research (NIHR200756), Mental Health Research UK&#x2013;John Grace QC Scholarship 2018, Economic Social Research Council&#x2019;s Co-funded doctoral award, the British Medical Association&#x2019;s Margaret Temple Fellowship, Medical Research Council New Investigator and Centenary Awards (G0901310, G1100583).</funders><projectreference/><lastEdited>2025-07-31T12:50:55.9333474</lastEdited><Created>2025-07-31T12:38:35.3575824</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Naomi</firstname><surname>Launders</surname><orcid>0000-0003-4241-938X</orcid><order>1</order></author><author><firstname>Caroline Anne</firstname><surname>Jackson</surname><orcid>0000-0002-2067-2811</orcid><order>2</order></author><author><firstname>Joseph F</firstname><surname>Hayes</surname><orcid>0000-0003-2286-3862</orcid><order>3</order></author><author><firstname>Ann</firstname><surname>John</surname><orcid>0000-0002-5657-6995</orcid><order>4</order></author><author><firstname>Robert</firstname><surname>Stewart</surname><orcid>0000-0002-4435-6397</orcid><order>5</order></author><author><firstname>Matthew H</firstname><surname>Iveson</surname><orcid>0000-0002-7242-0456</orcid><order>6</order></author><author><firstname>Elvira</firstname><surname>Bramon</surname><orcid>0000-0003-1369-5983</orcid><order>7</order></author><author><firstname>Bruce</firstname><surname>Guthrie</surname><orcid>0000-0003-4191-4880</orcid><order>8</order></author><author><firstname>Stewart William</firstname><surname>Mercer</surname><orcid>0000-0002-1703-3664</orcid><order>9</order></author><author><firstname>David P J</firstname><surname>Osborn</surname><orcid>0000-0003-2519-1539</orcid><order>10</order></author></authors><documents><document><filename>70076__34888__791ef6bbbd2a4d17a1f1b7ecad8aa113.pdf</filename><originalFilename>70076.VOR.pdf</originalFilename><uploaded>2025-07-31T12:46:14.1160597</uploaded><type>Output</type><contentLength>905670</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; Author(s) (or their employer(s)) 2025. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-07-31T12:50:55.9333474 v2 70076 2025-07-31 Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study ed8a9c37bd7b7235b762d941ef18ee55 0000-0002-5657-6995 Ann John Ann John true false 2025-07-31 MEDS Background: People with severe mental illness (SMI) are at increased risk of cardiovascular disease (CVD), and initiatives for CVD risk factor screening in the UK have not reduced disparities. Objectives: To describe the annual screening prevalence for CVD risk factors in people with SMI from April 2000 to March 2018, and to identify factors associated with receiving no screening and regular screening. Methods: We identified adults with a diagnosis of SMI (schizophrenia, bipolar disorder or ‘other psychosis’) from UK primary care records in Clinical Practice Research Datalink. We calculated the annual prevalence of screening for blood pressure, cholesterol, glucose, body mass index, alcohol consumption and smoking status using multinomial logistic regression to identify factors associated with receiving no screening and complete screening. Results: Of 216 136 patients with SMI, 55% received screening for all six CVD risk factors at least once during follow-up and 35% received all six within a 1-month period. Our findings suggest that patient characteristics and financial incentivisation influence screening prevalence of individual CVD risk factors, the likelihood of receiving screening for all six CVD risk factors annually and risk of receiving no screening. Conclusions: The low proportion of people with SMI receiving regular comprehensive CVD risk factor screening is concerning. Screening needs to be embedded as part of broad physical health checks to ensure the health needs of people with SMI are being met. If we are to improve cardiovascular health, interventions are needed where risk of receiving no screening or not receiving regular screening is highest. Journal Article BMJ Mental Health 28 1 e301409 BMJ Publishing Group Ltd 2755-9734 15 1 2025 2025-01-15 10.1136/bmjment-2024-301409 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee This work was funded by the UK Research and Innovation grant (MR/W014386/1) as part of the Health Data Research (HDR) UK DATAMIND hub. NL, JFH, MHI, EB, RS, AJ and DPJO acknowledge funding from DATAMIND through this grant. NL is supported by an HDR UK personal fellowship (Big Data for Complex Disease driver programme: HDR-23012). This work is affiliated to HDR UK which is funded by the Medical Research Council (UKRI), the National Institute for Health Research, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council (UKRI), the Engineering and Physical Sciences Research Council (UKRI), Health and Care Research Wales, Chief Scientist Office of the Scottish Government Health and Social Care Directorates, and Health and Social Care Research and Development Division (Public Health Agency, Northern Ireland). NL and JFH are additionally supported by the UK Research and Innovation grant (MR/V023373/1). NL, JFH, EB and DPJO are supported by the NIHR University College London Hospitals Biomedical Research Centre. NL, JFH and DPJO are supported by the NIHR North Thames Applied Research Collaboration. RS is additionally part funded by the NIHR Maudsley Biomedical Research Centre; the NIHR Applied Research Collaboration South London; the UK Prevention Research Partnership (Violence, Health and Society; MR-VO49879/1), an initiative funded by the UK Research and Innovation Councils, the Department of Health and Social Care (England) and the UK devolved administrations, and leading health research charities. MHI is additionally supported by the Wellcome Trust (220857/Z/20/Z; 226770/Z/22/Z; 104036/Z/14/Z; 216767/Z/19/Z) and by a Research Data Scotland Accelerator Award (RAS-24-2). EB acknowledges the additional support of Medical Research Council (G1100583, MR/W020238/1), National Institute of Health Research (NIHR200756), Mental Health Research UK–John Grace QC Scholarship 2018, Economic Social Research Council’s Co-funded doctoral award, the British Medical Association’s Margaret Temple Fellowship, Medical Research Council New Investigator and Centenary Awards (G0901310, G1100583). 2025-07-31T12:50:55.9333474 2025-07-31T12:38:35.3575824 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Naomi Launders 0000-0003-4241-938X 1 Caroline Anne Jackson 0000-0002-2067-2811 2 Joseph F Hayes 0000-0003-2286-3862 3 Ann John 0000-0002-5657-6995 4 Robert Stewart 0000-0002-4435-6397 5 Matthew H Iveson 0000-0002-7242-0456 6 Elvira Bramon 0000-0003-1369-5983 7 Bruce Guthrie 0000-0003-4191-4880 8 Stewart William Mercer 0000-0002-1703-3664 9 David P J Osborn 0000-0003-2519-1539 10 70076__34888__791ef6bbbd2a4d17a1f1b7ecad8aa113.pdf 70076.VOR.pdf 2025-07-31T12:46:14.1160597 Output 905670 application/pdf Version of Record true © Author(s) (or their employer(s)) 2025. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license. true eng https://creativecommons.org/licenses/by/4.0/
title Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
spellingShingle Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
Ann John
title_short Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
title_full Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
title_fullStr Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
title_full_unstemmed Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
title_sort Prevalence and patient characteristics associated with cardiovascular disease risk factor screening in UK primary care for people with severe mental illness: an electronic healthcare record study
author_id_str_mv ed8a9c37bd7b7235b762d941ef18ee55
author_id_fullname_str_mv ed8a9c37bd7b7235b762d941ef18ee55_***_Ann John
author Ann John
author2 Naomi Launders
Caroline Anne Jackson
Joseph F Hayes
Ann John
Robert Stewart
Matthew H Iveson
Elvira Bramon
Bruce Guthrie
Stewart William Mercer
David P J Osborn
format Journal article
container_title BMJ Mental Health
container_volume 28
container_issue 1
container_start_page e301409
publishDate 2025
institution Swansea University
issn 2755-9734
doi_str_mv 10.1136/bmjment-2024-301409
publisher BMJ Publishing Group Ltd
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
description Background: People with severe mental illness (SMI) are at increased risk of cardiovascular disease (CVD), and initiatives for CVD risk factor screening in the UK have not reduced disparities. Objectives: To describe the annual screening prevalence for CVD risk factors in people with SMI from April 2000 to March 2018, and to identify factors associated with receiving no screening and regular screening. Methods: We identified adults with a diagnosis of SMI (schizophrenia, bipolar disorder or ‘other psychosis’) from UK primary care records in Clinical Practice Research Datalink. We calculated the annual prevalence of screening for blood pressure, cholesterol, glucose, body mass index, alcohol consumption and smoking status using multinomial logistic regression to identify factors associated with receiving no screening and complete screening. Results: Of 216 136 patients with SMI, 55% received screening for all six CVD risk factors at least once during follow-up and 35% received all six within a 1-month period. Our findings suggest that patient characteristics and financial incentivisation influence screening prevalence of individual CVD risk factors, the likelihood of receiving screening for all six CVD risk factors annually and risk of receiving no screening. Conclusions: The low proportion of people with SMI receiving regular comprehensive CVD risk factor screening is concerning. Screening needs to be embedded as part of broad physical health checks to ensure the health needs of people with SMI are being met. If we are to improve cardiovascular health, interventions are needed where risk of receiving no screening or not receiving regular screening is highest.
published_date 2025-01-15T05:28:49Z
_version_ 1856714917720096768
score 11.095883

Similar Items