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Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most

Since 2015 we organized a uniform, structured collection of a fixed set of cardiovascular risk factors according the (inter)national guidelines on cardiovascular risk management. We evaluated the current state of a developing cardiovascular towards learning healthcare system–the Utrecht Cardiovascul...

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Autores principales: Groenhof, T. Katrien J., Haitjema, Saskia, Lely, A. Titia, Grobbee, Diederick E., Asselbergs, Folkert W., Bots, Michiel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931327/
https://www.ncbi.nlm.nih.gov/pubmed/36812613
http://dx.doi.org/10.1371/journal.pdig.0000190
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author Groenhof, T. Katrien J.
Haitjema, Saskia
Lely, A. Titia
Grobbee, Diederick E.
Asselbergs, Folkert W.
Bots, Michiel L.
author_facet Groenhof, T. Katrien J.
Haitjema, Saskia
Lely, A. Titia
Grobbee, Diederick E.
Asselbergs, Folkert W.
Bots, Michiel L.
author_sort Groenhof, T. Katrien J.
collection PubMed
description Since 2015 we organized a uniform, structured collection of a fixed set of cardiovascular risk factors according the (inter)national guidelines on cardiovascular risk management. We evaluated the current state of a developing cardiovascular towards learning healthcare system–the Utrecht Cardiovascular Cohort Cardiovascular Risk Management (UCC-CVRM)—and its potential effect on guideline adherence in cardiovascular risk management. We conducted a before-after study comparing data from patients included in UCC-CVRM (2015–2018) and patients treated in our center before UCC-CVRM (2013–2015) who would have been eligible for UCC-CVRM using the Utrecht Patient Oriented Database (UPOD). Proportions of cardiovascular risk factor measurement before and after UCC-CVRM initiation were compared, as were proportions of patients that required (change of) blood pressure, lipid, or blood glucose lowering treatment. We estimated the likelihood to miss patients with hypertension, dyslipidemia, and elevated HbA1c before UCC-CVRM for the whole cohort and stratified for sex. In the present study, patients included up to October 2018 (n = 1904) were matched with 7195 UPOD patients with similar age, sex, department of referral and diagnose description. Completeness of risk factor measurement increased, ranging from 0% -77% before to 82%-94% after UCC-CVRM initiation. Before UCC-CVRM, we found more unmeasured risk factors in women compared to men. This sex-gap resolved in UCC-CVRM. The likelihood to miss hypertension, dyslipidemia, and elevated HbA1c was reduced by 67%, 75% and 90%, respectively, after UCC-CVRM initiation. A finding more pronounced in women compared to men. In conclusion, a systematic registration of the cardiovascular risk profile substantially improves guideline adherent assessment and decreases the risk of missing patients with elevated levels with an indication for treatment. The sex-gap disappeared after UCC-CVRM initiation. Thus, an LHS approach contributes to a more inclusive insight into quality of care and prevention of cardiovascular disease (progression).
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spelling pubmed-99313272023-02-16 Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most Groenhof, T. Katrien J. Haitjema, Saskia Lely, A. Titia Grobbee, Diederick E. Asselbergs, Folkert W. Bots, Michiel L. PLOS Digit Health Research Article Since 2015 we organized a uniform, structured collection of a fixed set of cardiovascular risk factors according the (inter)national guidelines on cardiovascular risk management. We evaluated the current state of a developing cardiovascular towards learning healthcare system–the Utrecht Cardiovascular Cohort Cardiovascular Risk Management (UCC-CVRM)—and its potential effect on guideline adherence in cardiovascular risk management. We conducted a before-after study comparing data from patients included in UCC-CVRM (2015–2018) and patients treated in our center before UCC-CVRM (2013–2015) who would have been eligible for UCC-CVRM using the Utrecht Patient Oriented Database (UPOD). Proportions of cardiovascular risk factor measurement before and after UCC-CVRM initiation were compared, as were proportions of patients that required (change of) blood pressure, lipid, or blood glucose lowering treatment. We estimated the likelihood to miss patients with hypertension, dyslipidemia, and elevated HbA1c before UCC-CVRM for the whole cohort and stratified for sex. In the present study, patients included up to October 2018 (n = 1904) were matched with 7195 UPOD patients with similar age, sex, department of referral and diagnose description. Completeness of risk factor measurement increased, ranging from 0% -77% before to 82%-94% after UCC-CVRM initiation. Before UCC-CVRM, we found more unmeasured risk factors in women compared to men. This sex-gap resolved in UCC-CVRM. The likelihood to miss hypertension, dyslipidemia, and elevated HbA1c was reduced by 67%, 75% and 90%, respectively, after UCC-CVRM initiation. A finding more pronounced in women compared to men. In conclusion, a systematic registration of the cardiovascular risk profile substantially improves guideline adherent assessment and decreases the risk of missing patients with elevated levels with an indication for treatment. The sex-gap disappeared after UCC-CVRM initiation. Thus, an LHS approach contributes to a more inclusive insight into quality of care and prevention of cardiovascular disease (progression). Public Library of Science 2023-02-08 /pmc/articles/PMC9931327/ /pubmed/36812613 http://dx.doi.org/10.1371/journal.pdig.0000190 Text en © 2023 Groenhof et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Groenhof, T. Katrien J.
Haitjema, Saskia
Lely, A. Titia
Grobbee, Diederick E.
Asselbergs, Folkert W.
Bots, Michiel L.
Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
title Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
title_full Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
title_fullStr Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
title_full_unstemmed Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
title_short Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
title_sort optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: women benefit most
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931327/
https://www.ncbi.nlm.nih.gov/pubmed/36812613
http://dx.doi.org/10.1371/journal.pdig.0000190
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