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Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients

Effective management of heart failure is complex, and ensuring evidence-based practice presents a major challenge to health services worldwide. Over the past decade, the United Kingdom introduced a series of national initiatives to improve evidence-based heart failure management, including a landmar...

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Published in:PLoS medicine 2019-05, Vol.16 (5), p.e1002805-e1002805
Main Authors: Conrad, Nathalie, Judge, Andrew, Canoy, Dexter, Tran, Jenny, O'Donnell, Johanna, Nazarzadeh, Milad, Salimi-Khorshidi, Gholamreza, Hobbs, F D Richard, Cleland, John G, McMurray, John J V, Rahimi, Kazem
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creator Conrad, Nathalie
Judge, Andrew
Canoy, Dexter
Tran, Jenny
O'Donnell, Johanna
Nazarzadeh, Milad
Salimi-Khorshidi, Gholamreza
Hobbs, F D Richard
Cleland, John G
McMurray, John J V
Rahimi, Kazem
description Effective management of heart failure is complex, and ensuring evidence-based practice presents a major challenge to health services worldwide. Over the past decade, the United Kingdom introduced a series of national initiatives to improve evidence-based heart failure management, including a landmark pay-for-performance scheme in primary care and a national audit in secondary care started in 2004 and 2007, respectively. Quality improvement efforts have been evaluated within individual clinical settings, but patterns of care across its continuum, although a critical component of chronic disease management, have not been studied. We have designed this study to investigate patients' trajectories of care around the time of diagnosis and their variation over time by age, sex, and socioeconomic status. For this retrospective population-based study, we used linked primary and secondary health records from a representative sample of the UK population provided by the Clinical Practice Research Datalink (CPRD). We identified 93,074 individuals newly diagnosed with heart failure between 2002 and 2014, with a mean age of 76.7 years and of which 49% were women. We examined five indicators of care: (i) diagnosis care setting (inpatient or outpatient), (ii) posthospitalisation follow-up in primary care, (iii) diagnostic investigations, (iv) prescription of essential drugs, and (v) drug treatment dose. We used Poisson and linear regression models to calculate category-specific risk ratios (RRs) or adjusted differences and 95% confidence intervals (CIs), adjusting for year of diagnosis, age, sex, region, and socioeconomic status. From 2002 to 2014, indicators of care presented diverging trends. Outpatient diagnoses and follow-up after hospital discharge in primary care declined substantially (ranging from 56% in 2002 to 36% in 2014, RR 0.64 [0.62, 0.67] and 20% to 14%, RR 0.73 [0.65, 0.82], respectively). Primary care referral for diagnostic investigations and appropriate initiation of beta blockers and angiotensin-converting-enzyme inhibitors (ACE-Is) or angiotensin receptor blockers (ARBs) both increased significantly (37% versus 82%, RR 2.24 [2.15, 2.34] and 18% versus 63%, RR 3.48 [2.72, 4.43], respectively). Yet, the average daily dose prescribed remained below guideline recommendations (42% for ACE-Is or ARBs, 29% for beta blockers in 2014) and was largely unchanged beyond the first 30 days after diagnosis. Despite increasing rates of treatment initiation, the overal
doi_str_mv 10.1371/journal.pmed.1002805
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Over the past decade, the United Kingdom introduced a series of national initiatives to improve evidence-based heart failure management, including a landmark pay-for-performance scheme in primary care and a national audit in secondary care started in 2004 and 2007, respectively. Quality improvement efforts have been evaluated within individual clinical settings, but patterns of care across its continuum, although a critical component of chronic disease management, have not been studied. We have designed this study to investigate patients' trajectories of care around the time of diagnosis and their variation over time by age, sex, and socioeconomic status. For this retrospective population-based study, we used linked primary and secondary health records from a representative sample of the UK population provided by the Clinical Practice Research Datalink (CPRD). We identified 93,074 individuals newly diagnosed with heart failure between 2002 and 2014, with a mean age of 76.7 years and of which 49% were women. We examined five indicators of care: (i) diagnosis care setting (inpatient or outpatient), (ii) posthospitalisation follow-up in primary care, (iii) diagnostic investigations, (iv) prescription of essential drugs, and (v) drug treatment dose. We used Poisson and linear regression models to calculate category-specific risk ratios (RRs) or adjusted differences and 95% confidence intervals (CIs), adjusting for year of diagnosis, age, sex, region, and socioeconomic status. From 2002 to 2014, indicators of care presented diverging trends. Outpatient diagnoses and follow-up after hospital discharge in primary care declined substantially (ranging from 56% in 2002 to 36% in 2014, RR 0.64 [0.62, 0.67] and 20% to 14%, RR 0.73 [0.65, 0.82], respectively). Primary care referral for diagnostic investigations and appropriate initiation of beta blockers and angiotensin-converting-enzyme inhibitors (ACE-Is) or angiotensin receptor blockers (ARBs) both increased significantly (37% versus 82%, RR 2.24 [2.15, 2.34] and 18% versus 63%, RR 3.48 [2.72, 4.43], respectively). Yet, the average daily dose prescribed remained below guideline recommendations (42% for ACE-Is or ARBs, 29% for beta blockers in 2014) and was largely unchanged beyond the first 30 days after diagnosis. Despite increasing rates of treatment initiation, the overall dose prescribed to patients in the 12 months following diagnosis improved little over the period of study (adjusted difference for the combined dose of beta blocker and ACE-I or ARB: +6% [+2%, +10%]). Women and patients aged over 75 years presented significant gaps across all five indicators of care. Our study was limited by the available clinical information, which did not include exact left ventricular ejection fraction values, investigations performed during hospital admissions, or information about follow-up in community heart failure clinics. Management of heart failure patients in the UK presents important shortcomings that affect screening, continuity of care, and medication titration and disproportionally impact women and older people. National reporting and incentive schemes confined to individual clinical settings have been insufficient to identify these gaps and address patients' long-term care needs.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1002805</identifier><identifier>PMID: 31112552</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adrenergic beta-antagonists ; Age ; Aged ; Aged, 80 and over ; Angiotensin ; Angiotensins ; Archives &amp; records ; Biomedical research ; Cardiac patients ; Cardiovascular Agents - therapeutic use ; Care and treatment ; Chronic diseases ; Chronic illnesses ; Clinical medicine ; Cohort analysis ; Congestive heart failure ; Diagnosis ; Diagnostic Techniques, Cardiovascular - trends ; Diagnostic tests ; Disease management ; Drug dosages ; Drug Prescriptions ; Drugs ; Elderly ; Employee performance ; Enzyme inhibitors ; Enzymes ; Epidemiology ; Evidence-based medicine ; Female ; Health Care Surveys ; Healthcare Disparities - trends ; Heart failure ; Heart Failure - diagnosis ; Heart Failure - drug therapy ; Heart Failure - epidemiology ; Hospital admission and discharge ; Hospitals ; Humans ; Incidence ; Indicators ; Long term care ; Male ; Medical prognosis ; Medical records ; Medical research ; Medical tests ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Older people ; Patients ; Physicians ; Population studies ; Practice Patterns, Physicians' - trends ; Predictive Value of Tests ; Primary care ; Professional Practice Gaps - trends ; Quality ; Quality control ; Regression analysis ; Retrospective Studies ; Risk Factors ; Sex Factors ; Social Class ; Socioeconomic factors ; Socioeconomics ; Studies ; Supervision ; Time Factors ; Titration ; Treatment Outcome ; Trends ; United Kingdom - epidemiology ; Ventricle</subject><ispartof>PLoS medicine, 2019-05, Vol.16 (5), p.e1002805-e1002805</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Conrad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Over the past decade, the United Kingdom introduced a series of national initiatives to improve evidence-based heart failure management, including a landmark pay-for-performance scheme in primary care and a national audit in secondary care started in 2004 and 2007, respectively. Quality improvement efforts have been evaluated within individual clinical settings, but patterns of care across its continuum, although a critical component of chronic disease management, have not been studied. We have designed this study to investigate patients' trajectories of care around the time of diagnosis and their variation over time by age, sex, and socioeconomic status. For this retrospective population-based study, we used linked primary and secondary health records from a representative sample of the UK population provided by the Clinical Practice Research Datalink (CPRD). We identified 93,074 individuals newly diagnosed with heart failure between 2002 and 2014, with a mean age of 76.7 years and of which 49% were women. We examined five indicators of care: (i) diagnosis care setting (inpatient or outpatient), (ii) posthospitalisation follow-up in primary care, (iii) diagnostic investigations, (iv) prescription of essential drugs, and (v) drug treatment dose. We used Poisson and linear regression models to calculate category-specific risk ratios (RRs) or adjusted differences and 95% confidence intervals (CIs), adjusting for year of diagnosis, age, sex, region, and socioeconomic status. From 2002 to 2014, indicators of care presented diverging trends. Outpatient diagnoses and follow-up after hospital discharge in primary care declined substantially (ranging from 56% in 2002 to 36% in 2014, RR 0.64 [0.62, 0.67] and 20% to 14%, RR 0.73 [0.65, 0.82], respectively). Primary care referral for diagnostic investigations and appropriate initiation of beta blockers and angiotensin-converting-enzyme inhibitors (ACE-Is) or angiotensin receptor blockers (ARBs) both increased significantly (37% versus 82%, RR 2.24 [2.15, 2.34] and 18% versus 63%, RR 3.48 [2.72, 4.43], respectively). Yet, the average daily dose prescribed remained below guideline recommendations (42% for ACE-Is or ARBs, 29% for beta blockers in 2014) and was largely unchanged beyond the first 30 days after diagnosis. Despite increasing rates of treatment initiation, the overall dose prescribed to patients in the 12 months following diagnosis improved little over the period of study (adjusted difference for the combined dose of beta blocker and ACE-I or ARB: +6% [+2%, +10%]). Women and patients aged over 75 years presented significant gaps across all five indicators of care. Our study was limited by the available clinical information, which did not include exact left ventricular ejection fraction values, investigations performed during hospital admissions, or information about follow-up in community heart failure clinics. Management of heart failure patients in the UK presents important shortcomings that affect screening, continuity of care, and medication titration and disproportionally impact women and older people. National reporting and incentive schemes confined to individual clinical settings have been insufficient to identify these gaps and address patients' long-term care needs.</description><subject>Adrenergic beta-antagonists</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Angiotensin</subject><subject>Angiotensins</subject><subject>Archives &amp; records</subject><subject>Biomedical research</subject><subject>Cardiac patients</subject><subject>Cardiovascular Agents - therapeutic use</subject><subject>Care and treatment</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Clinical medicine</subject><subject>Cohort analysis</subject><subject>Congestive heart failure</subject><subject>Diagnosis</subject><subject>Diagnostic Techniques, Cardiovascular - trends</subject><subject>Diagnostic tests</subject><subject>Disease management</subject><subject>Drug dosages</subject><subject>Drug Prescriptions</subject><subject>Drugs</subject><subject>Elderly</subject><subject>Employee performance</subject><subject>Enzyme inhibitors</subject><subject>Enzymes</subject><subject>Epidemiology</subject><subject>Evidence-based medicine</subject><subject>Female</subject><subject>Health Care Surveys</subject><subject>Healthcare Disparities - trends</subject><subject>Heart failure</subject><subject>Heart Failure - diagnosis</subject><subject>Heart Failure - drug therapy</subject><subject>Heart Failure - epidemiology</subject><subject>Hospital admission and discharge</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Incidence</subject><subject>Indicators</subject><subject>Long term care</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Medical tests</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Older people</subject><subject>Patients</subject><subject>Physicians</subject><subject>Population studies</subject><subject>Practice Patterns, Physicians' - trends</subject><subject>Predictive Value of Tests</subject><subject>Primary care</subject><subject>Professional Practice Gaps - trends</subject><subject>Quality</subject><subject>Quality control</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Social Class</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Studies</subject><subject>Supervision</subject><subject>Time Factors</subject><subject>Titration</subject><subject>Treatment Outcome</subject><subject>Trends</subject><subject>United Kingdom - epidemiology</subject><subject>Ventricle</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1549-1676</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqVk12L1DAUhoso7rr6D0QDC6KwHfPRpK0XwrB-DS4uqOttSNOkk6HT1CRV98q_bjrTXWZkLpRepJw873tycnKS5DGCM0Ry9HJlB9eJdtavVT1DEOIC0jvJMaJZmSKWs7s7_0fJA-9XkSlhCe8nRwQhhCnFx8nvN0Y0nfXBSBCUD_4M1G5oQO-Ul870wdguxkRXA23b1v5Mhx70IgTlOg-EjiswnTS16gJYKuEC0MK0g1OvwBxIu7Qx4sNQXwOrQUnOIITg6uNoYaLEP0zuadF69WhaT5Krd2-_nn9ILy7fL87nF6ksCAxpTZjOqRRY1aWsUVFRRVFVqqoQmZayzEtMRCGrTJOsYgSSDEpKESNMCKSJIifJ061v31rPp7vzHGOKMUMoR5FYbInaihXvnVkLd82tMHwTsK7hsTojW8W1UDBKaijqPCszUjAiYYYEzivMipxEr9dTtqGK7ZGxUifaPdP9nc4seWN_cEZxUWZlNHg-GTj7fYh94WvjpWpb0Sk7jOcmGJaUsRE9_Qs9XN1ENSIWYDptY145mvI5LfIcYrpJmx6gGtWpeEjbKW1ieI-fHeDjV6u1kQcFL_YEkQnqV2jE4D1ffPn8H-ynf2cvv-2zz3bY-GbbsPS2HTZPfR_MtqB01nun9G0DEeTjDN7cNB9nkE8zGGVPdpt_K7oZOvIHzmMqMw</recordid><startdate>20190521</startdate><enddate>20190521</enddate><creator>Conrad, Nathalie</creator><creator>Judge, Andrew</creator><creator>Canoy, Dexter</creator><creator>Tran, Jenny</creator><creator>O'Donnell, Johanna</creator><creator>Nazarzadeh, Milad</creator><creator>Salimi-Khorshidi, Gholamreza</creator><creator>Hobbs, F D Richard</creator><creator>Cleland, John G</creator><creator>McMurray, John J V</creator><creator>Rahimi, Kazem</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZK</scope><orcidid>https://orcid.org/0000-0003-4493-9901</orcidid><orcidid>https://orcid.org/0000-0002-0576-8874</orcidid><orcidid>https://orcid.org/0000-0002-6317-3975</orcidid><orcidid>https://orcid.org/0000-0001-8028-8224</orcidid><orcidid>https://orcid.org/0000-0003-3015-0432</orcidid><orcidid>https://orcid.org/0000-0001-5027-5481</orcidid><orcidid>https://orcid.org/0000-0002-4807-4610</orcidid><orcidid>https://orcid.org/0000-0002-1774-8803</orcidid><orcidid>https://orcid.org/0000-0001-7976-7172</orcidid><orcidid>https://orcid.org/0000-0002-1471-7016</orcidid></search><sort><creationdate>20190521</creationdate><title>Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients</title><author>Conrad, Nathalie ; Judge, Andrew ; Canoy, Dexter ; Tran, Jenny ; O'Donnell, Johanna ; Nazarzadeh, Milad ; Salimi-Khorshidi, Gholamreza ; Hobbs, F D Richard ; Cleland, John G ; McMurray, John J V ; Rahimi, Kazem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c830t-d36f75ca2ed9cd18b5e51b9eb8a4fcc97923a8cb4f34b630340c551636aa1f3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adrenergic beta-antagonists</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Angiotensin</topic><topic>Angiotensins</topic><topic>Archives &amp; records</topic><topic>Biomedical research</topic><topic>Cardiac patients</topic><topic>Cardiovascular Agents - therapeutic use</topic><topic>Care and treatment</topic><topic>Chronic diseases</topic><topic>Chronic illnesses</topic><topic>Clinical medicine</topic><topic>Cohort analysis</topic><topic>Congestive heart failure</topic><topic>Diagnosis</topic><topic>Diagnostic Techniques, Cardiovascular - trends</topic><topic>Diagnostic tests</topic><topic>Disease management</topic><topic>Drug dosages</topic><topic>Drug Prescriptions</topic><topic>Drugs</topic><topic>Elderly</topic><topic>Employee performance</topic><topic>Enzyme inhibitors</topic><topic>Enzymes</topic><topic>Epidemiology</topic><topic>Evidence-based medicine</topic><topic>Female</topic><topic>Health Care Surveys</topic><topic>Healthcare Disparities - trends</topic><topic>Heart failure</topic><topic>Heart Failure - diagnosis</topic><topic>Heart Failure - drug therapy</topic><topic>Heart Failure - epidemiology</topic><topic>Hospital admission and discharge</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Incidence</topic><topic>Indicators</topic><topic>Long term care</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Medical tests</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Older people</topic><topic>Patients</topic><topic>Physicians</topic><topic>Population studies</topic><topic>Practice Patterns, Physicians' - trends</topic><topic>Predictive Value of Tests</topic><topic>Primary care</topic><topic>Professional Practice Gaps - trends</topic><topic>Quality</topic><topic>Quality control</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Social Class</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Studies</topic><topic>Supervision</topic><topic>Time Factors</topic><topic>Titration</topic><topic>Treatment Outcome</topic><topic>Trends</topic><topic>United Kingdom - epidemiology</topic><topic>Ventricle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Conrad, Nathalie</creatorcontrib><creatorcontrib>Judge, Andrew</creatorcontrib><creatorcontrib>Canoy, Dexter</creatorcontrib><creatorcontrib>Tran, Jenny</creatorcontrib><creatorcontrib>O'Donnell, Johanna</creatorcontrib><creatorcontrib>Nazarzadeh, Milad</creatorcontrib><creatorcontrib>Salimi-Khorshidi, Gholamreza</creatorcontrib><creatorcontrib>Hobbs, F D Richard</creatorcontrib><creatorcontrib>Cleland, John G</creatorcontrib><creatorcontrib>McMurray, John J V</creatorcontrib><creatorcontrib>Rahimi, Kazem</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Databases</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>PLoS medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Conrad, Nathalie</au><au>Judge, Andrew</au><au>Canoy, Dexter</au><au>Tran, Jenny</au><au>O'Donnell, Johanna</au><au>Nazarzadeh, Milad</au><au>Salimi-Khorshidi, Gholamreza</au><au>Hobbs, F D Richard</au><au>Cleland, John G</au><au>McMurray, John J V</au><au>Rahimi, Kazem</au><au>Sheikh, Aziz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients</atitle><jtitle>PLoS medicine</jtitle><addtitle>PLoS Med</addtitle><date>2019-05-21</date><risdate>2019</risdate><volume>16</volume><issue>5</issue><spage>e1002805</spage><epage>e1002805</epage><pages>e1002805-e1002805</pages><issn>1549-1676</issn><issn>1549-1277</issn><eissn>1549-1676</eissn><abstract>Effective management of heart failure is complex, and ensuring evidence-based practice presents a major challenge to health services worldwide. Over the past decade, the United Kingdom introduced a series of national initiatives to improve evidence-based heart failure management, including a landmark pay-for-performance scheme in primary care and a national audit in secondary care started in 2004 and 2007, respectively. Quality improvement efforts have been evaluated within individual clinical settings, but patterns of care across its continuum, although a critical component of chronic disease management, have not been studied. We have designed this study to investigate patients' trajectories of care around the time of diagnosis and their variation over time by age, sex, and socioeconomic status. For this retrospective population-based study, we used linked primary and secondary health records from a representative sample of the UK population provided by the Clinical Practice Research Datalink (CPRD). We identified 93,074 individuals newly diagnosed with heart failure between 2002 and 2014, with a mean age of 76.7 years and of which 49% were women. We examined five indicators of care: (i) diagnosis care setting (inpatient or outpatient), (ii) posthospitalisation follow-up in primary care, (iii) diagnostic investigations, (iv) prescription of essential drugs, and (v) drug treatment dose. We used Poisson and linear regression models to calculate category-specific risk ratios (RRs) or adjusted differences and 95% confidence intervals (CIs), adjusting for year of diagnosis, age, sex, region, and socioeconomic status. From 2002 to 2014, indicators of care presented diverging trends. Outpatient diagnoses and follow-up after hospital discharge in primary care declined substantially (ranging from 56% in 2002 to 36% in 2014, RR 0.64 [0.62, 0.67] and 20% to 14%, RR 0.73 [0.65, 0.82], respectively). Primary care referral for diagnostic investigations and appropriate initiation of beta blockers and angiotensin-converting-enzyme inhibitors (ACE-Is) or angiotensin receptor blockers (ARBs) both increased significantly (37% versus 82%, RR 2.24 [2.15, 2.34] and 18% versus 63%, RR 3.48 [2.72, 4.43], respectively). Yet, the average daily dose prescribed remained below guideline recommendations (42% for ACE-Is or ARBs, 29% for beta blockers in 2014) and was largely unchanged beyond the first 30 days after diagnosis. Despite increasing rates of treatment initiation, the overall dose prescribed to patients in the 12 months following diagnosis improved little over the period of study (adjusted difference for the combined dose of beta blocker and ACE-I or ARB: +6% [+2%, +10%]). Women and patients aged over 75 years presented significant gaps across all five indicators of care. Our study was limited by the available clinical information, which did not include exact left ventricular ejection fraction values, investigations performed during hospital admissions, or information about follow-up in community heart failure clinics. Management of heart failure patients in the UK presents important shortcomings that affect screening, continuity of care, and medication titration and disproportionally impact women and older people. National reporting and incentive schemes confined to individual clinical settings have been insufficient to identify these gaps and address patients' long-term care needs.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31112552</pmid><doi>10.1371/journal.pmed.1002805</doi><orcidid>https://orcid.org/0000-0003-4493-9901</orcidid><orcidid>https://orcid.org/0000-0002-0576-8874</orcidid><orcidid>https://orcid.org/0000-0002-6317-3975</orcidid><orcidid>https://orcid.org/0000-0001-8028-8224</orcidid><orcidid>https://orcid.org/0000-0003-3015-0432</orcidid><orcidid>https://orcid.org/0000-0001-5027-5481</orcidid><orcidid>https://orcid.org/0000-0002-4807-4610</orcidid><orcidid>https://orcid.org/0000-0002-1774-8803</orcidid><orcidid>https://orcid.org/0000-0001-7976-7172</orcidid><orcidid>https://orcid.org/0000-0002-1471-7016</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adrenergic beta-antagonists
Age
Aged
Aged, 80 and over
Angiotensin
Angiotensins
Archives & records
Biomedical research
Cardiac patients
Cardiovascular Agents - therapeutic use
Care and treatment
Chronic diseases
Chronic illnesses
Clinical medicine
Cohort analysis
Congestive heart failure
Diagnosis
Diagnostic Techniques, Cardiovascular - trends
Diagnostic tests
Disease management
Drug dosages
Drug Prescriptions
Drugs
Elderly
Employee performance
Enzyme inhibitors
Enzymes
Epidemiology
Evidence-based medicine
Female
Health Care Surveys
Healthcare Disparities - trends
Heart failure
Heart Failure - diagnosis
Heart Failure - drug therapy
Heart Failure - epidemiology
Hospital admission and discharge
Hospitals
Humans
Incidence
Indicators
Long term care
Male
Medical prognosis
Medical records
Medical research
Medical tests
Medicine
Medicine and Health Sciences
Middle Aged
Older people
Patients
Physicians
Population studies
Practice Patterns, Physicians' - trends
Predictive Value of Tests
Primary care
Professional Practice Gaps - trends
Quality
Quality control
Regression analysis
Retrospective Studies
Risk Factors
Sex Factors
Social Class
Socioeconomic factors
Socioeconomics
Studies
Supervision
Time Factors
Titration
Treatment Outcome
Trends
United Kingdom - epidemiology
Ventricle
title Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients
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