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Availability and quality of coronary heart disease family history in primary care medical records: implications for cardiovascular risk assessment
The potential to use data on family history of premature disease to assess disease risk is increasingly recognised, particularly in scoring risk for coronary heart disease (CHD). However the quality of family health information in primary care records is unclear. To assess the availability and quali...
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Published in: | PloS one 2014-01, Vol.9 (1), p.e81998-e81998 |
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description | The potential to use data on family history of premature disease to assess disease risk is increasingly recognised, particularly in scoring risk for coronary heart disease (CHD). However the quality of family health information in primary care records is unclear.
To assess the availability and quality of family history of CHD documented in electronic primary care records.
Cross-sectional study.
537 UK family practices contributing to The Health Improvement Network database.
Data were obtained from patients aged 20 years or more, registered with their current practice between 1(st) January 1998 and 31(st) December 2008, for at least one year. The availability and quality of recorded CHD family history was assessed using multilevel logistic and ordinal logistic regression respectively.
In a cross-section of 1,504,535 patients, 19% had a positive or negative family history of CHD recorded. Multilevel logistic regression showed patients aged 50-59 had higher odds of having their family history recorded compared to those aged 20-29 (OR:1.23 (1.21 to 1.25)), however most deprived patients had lower odds compared to those least deprived (OR: 0.86 (0.85 to 0.88)). Of the 140,058 patients with a positive family history recorded (9% of total cohort), age of onset was available in 45%; with data specifying both age of onset and relative affected available in only 11% of records. Multilevel ordinal logistic regression confirmed no statistical association between the quality of family history recording and age, gender, deprivation and year of registration.
Family history of CHD is documented in a small proportion of primary care records; and where positive family history is documented the details are insufficient to assess familial risk or populate cardiovascular risk assessment tools. Data capture needs to be improved particularly for more disadvantaged patients who may be most likely to benefit from CHD risk assessment. |
doi_str_mv | 10.1371/journal.pone.0081998 |
format | article |
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To assess the availability and quality of family history of CHD documented in electronic primary care records.
Cross-sectional study.
537 UK family practices contributing to The Health Improvement Network database.
Data were obtained from patients aged 20 years or more, registered with their current practice between 1(st) January 1998 and 31(st) December 2008, for at least one year. The availability and quality of recorded CHD family history was assessed using multilevel logistic and ordinal logistic regression respectively.
In a cross-section of 1,504,535 patients, 19% had a positive or negative family history of CHD recorded. Multilevel logistic regression showed patients aged 50-59 had higher odds of having their family history recorded compared to those aged 20-29 (OR:1.23 (1.21 to 1.25)), however most deprived patients had lower odds compared to those least deprived (OR: 0.86 (0.85 to 0.88)). Of the 140,058 patients with a positive family history recorded (9% of total cohort), age of onset was available in 45%; with data specifying both age of onset and relative affected available in only 11% of records. Multilevel ordinal logistic regression confirmed no statistical association between the quality of family history recording and age, gender, deprivation and year of registration.
Family history of CHD is documented in a small proportion of primary care records; and where positive family history is documented the details are insufficient to assess familial risk or populate cardiovascular risk assessment tools. Data capture needs to be improved particularly for more disadvantaged patients who may be most likely to benefit from CHD risk assessment.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0081998</identifier><identifier>PMID: 24416135</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Aged ; Aged, 80 and over ; Availability ; Cardiovascular disease ; Cardiovascular diseases ; Coronary artery disease ; Coronary Disease - epidemiology ; Coronary heart disease ; Data capture ; Demography ; Deprivation ; Family Health - standards ; Family Health - statistics & numerical data ; Family medicine ; Female ; Genetics ; Health aspects ; Health care ; Health risk assessment ; Health risks ; Health services ; Heart ; Heart diseases ; Humans ; Male ; Medical records ; Medical Records - standards ; Medical Records - statistics & numerical data ; Medical research ; Medicine ; Middle Aged ; Multilevel ; Odds Ratio ; Patients ; Primary Health Care - standards ; Primary Health Care - statistics & numerical data ; Quality assessment ; Registries ; Regression ; Risk assessment ; Risk Assessment - methods ; Risk Factors ; Statistical analysis ; United Kingdom - epidemiology ; Young Adult</subject><ispartof>PloS one, 2014-01, Vol.9 (1), p.e81998-e81998</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Dhiman 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. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Dhiman et al 2014 Dhiman et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-ab2dee91e861c48560078dcca169c28c63f13021382182f03bca6a225f75af573</citedby><cites>FETCH-LOGICAL-c692t-ab2dee91e861c48560078dcca169c28c63f13021382182f03bca6a225f75af573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1476281029/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1476281029?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24416135$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Berthold, Heiner K.</contributor><creatorcontrib>Dhiman, Paula</creatorcontrib><creatorcontrib>Kai, Joe</creatorcontrib><creatorcontrib>Horsfall, Laura</creatorcontrib><creatorcontrib>Walters, Kate</creatorcontrib><creatorcontrib>Qureshi, Nadeem</creatorcontrib><title>Availability and quality of coronary heart disease family history in primary care medical records: implications for cardiovascular risk assessment</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The potential to use data on family history of premature disease to assess disease risk is increasingly recognised, particularly in scoring risk for coronary heart disease (CHD). However the quality of family health information in primary care records is unclear.
To assess the availability and quality of family history of CHD documented in electronic primary care records.
Cross-sectional study.
537 UK family practices contributing to The Health Improvement Network database.
Data were obtained from patients aged 20 years or more, registered with their current practice between 1(st) January 1998 and 31(st) December 2008, for at least one year. The availability and quality of recorded CHD family history was assessed using multilevel logistic and ordinal logistic regression respectively.
In a cross-section of 1,504,535 patients, 19% had a positive or negative family history of CHD recorded. Multilevel logistic regression showed patients aged 50-59 had higher odds of having their family history recorded compared to those aged 20-29 (OR:1.23 (1.21 to 1.25)), however most deprived patients had lower odds compared to those least deprived (OR: 0.86 (0.85 to 0.88)). Of the 140,058 patients with a positive family history recorded (9% of total cohort), age of onset was available in 45%; with data specifying both age of onset and relative affected available in only 11% of records. Multilevel ordinal logistic regression confirmed no statistical association between the quality of family history recording and age, gender, deprivation and year of registration.
Family history of CHD is documented in a small proportion of primary care records; and where positive family history is documented the details are insufficient to assess familial risk or populate cardiovascular risk assessment tools. Data capture needs to be improved particularly for more disadvantaged patients who may be most likely to benefit from CHD risk assessment.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Availability</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Coronary artery disease</subject><subject>Coronary Disease - epidemiology</subject><subject>Coronary heart disease</subject><subject>Data capture</subject><subject>Demography</subject><subject>Deprivation</subject><subject>Family Health - standards</subject><subject>Family Health - statistics & numerical data</subject><subject>Family medicine</subject><subject>Female</subject><subject>Genetics</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Health services</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Male</subject><subject>Medical records</subject><subject>Medical Records - standards</subject><subject>Medical Records - statistics & numerical data</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Multilevel</subject><subject>Odds Ratio</subject><subject>Patients</subject><subject>Primary Health Care - standards</subject><subject>Primary Health Care - statistics & numerical data</subject><subject>Quality assessment</subject><subject>Registries</subject><subject>Regression</subject><subject>Risk assessment</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>Statistical analysis</subject><subject>United Kingdom - epidemiology</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDgujFjPlo09QLYVj8GFhY8Os2nEmTmaxpM5u0g_s3_MWmM91lKnshuWg4ec6bnjfnZNlzgueEleTdle9DC26-9a2eYyxIVYkH2SmpGJ1xitnDo_1J9iTGK4wLJjh_nJ3QPCecsOI0-7PYgXWwss52NwjaGl33sN97g5QPvoVwgzYaQodqGzVEjQw01qWgjZ1Ph7ZF22CbgVMQNGp0bRU4FHTKr-N7ZJutS5HO-jYi48OA1dbvIKreQUDBxl8IYtQxNrrtnmaPDLion43fs-zHp4_fz7_MLi4_L88XFzPFK9rNYEVrrSuiBScqFwXHuBS1UkB4pahQnBnCMCVMUCKowWylgAOlhSkLMEXJzrKXB92t81GOdkZJ8pJTQTCtErE8ELWHKzkWKT1YuQ_4sJbJF6uclsnPGleEUWZWeU5zgalRTOS4EiWFetD6MN7Wr5JDKhUawE1Epyet3ci130kmBK8ETwJvRoHgr3sdO9nYqLRz0GrfD_9d4ZIXORvQV_-g91c3UmtIBdjW-HSvGkTlIi-FKElVFoma30OlVevGqtR7xqb4JOHtJCExnf7draGPUS6_ff1_9vLnlH19xKaOdN0metfv22oK5gdQBR9j0ObOZILlMDq3bshhdOQ4OintxfED3SXdzgr7CwJhFgE</recordid><startdate>20140109</startdate><enddate>20140109</enddate><creator>Dhiman, Paula</creator><creator>Kai, Joe</creator><creator>Horsfall, Laura</creator><creator>Walters, Kate</creator><creator>Qureshi, Nadeem</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>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140109</creationdate><title>Availability and quality of coronary heart disease family history in primary care medical records: implications for cardiovascular risk assessment</title><author>Dhiman, Paula ; Kai, Joe ; Horsfall, Laura ; Walters, Kate ; Qureshi, Nadeem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-ab2dee91e861c48560078dcca169c28c63f13021382182f03bca6a225f75af573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Availability</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Coronary artery disease</topic><topic>Coronary Disease - epidemiology</topic><topic>Coronary heart disease</topic><topic>Data capture</topic><topic>Demography</topic><topic>Deprivation</topic><topic>Family Health - standards</topic><topic>Family Health - statistics & numerical data</topic><topic>Family medicine</topic><topic>Female</topic><topic>Genetics</topic><topic>Health aspects</topic><topic>Health care</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Health services</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Male</topic><topic>Medical records</topic><topic>Medical Records - standards</topic><topic>Medical Records - statistics & numerical data</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Middle Aged</topic><topic>Multilevel</topic><topic>Odds Ratio</topic><topic>Patients</topic><topic>Primary Health Care - standards</topic><topic>Primary Health Care - statistics & numerical data</topic><topic>Quality assessment</topic><topic>Registries</topic><topic>Regression</topic><topic>Risk assessment</topic><topic>Risk Assessment - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dhiman, Paula</au><au>Kai, Joe</au><au>Horsfall, Laura</au><au>Walters, Kate</au><au>Qureshi, Nadeem</au><au>Berthold, Heiner K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Availability and quality of coronary heart disease family history in primary care medical records: implications for cardiovascular risk assessment</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-01-09</date><risdate>2014</risdate><volume>9</volume><issue>1</issue><spage>e81998</spage><epage>e81998</epage><pages>e81998-e81998</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The potential to use data on family history of premature disease to assess disease risk is increasingly recognised, particularly in scoring risk for coronary heart disease (CHD). However the quality of family health information in primary care records is unclear.
To assess the availability and quality of family history of CHD documented in electronic primary care records.
Cross-sectional study.
537 UK family practices contributing to The Health Improvement Network database.
Data were obtained from patients aged 20 years or more, registered with their current practice between 1(st) January 1998 and 31(st) December 2008, for at least one year. The availability and quality of recorded CHD family history was assessed using multilevel logistic and ordinal logistic regression respectively.
In a cross-section of 1,504,535 patients, 19% had a positive or negative family history of CHD recorded. Multilevel logistic regression showed patients aged 50-59 had higher odds of having their family history recorded compared to those aged 20-29 (OR:1.23 (1.21 to 1.25)), however most deprived patients had lower odds compared to those least deprived (OR: 0.86 (0.85 to 0.88)). Of the 140,058 patients with a positive family history recorded (9% of total cohort), age of onset was available in 45%; with data specifying both age of onset and relative affected available in only 11% of records. Multilevel ordinal logistic regression confirmed no statistical association between the quality of family history recording and age, gender, deprivation and year of registration.
Family history of CHD is documented in a small proportion of primary care records; and where positive family history is documented the details are insufficient to assess familial risk or populate cardiovascular risk assessment tools. Data capture needs to be improved particularly for more disadvantaged patients who may be most likely to benefit from CHD risk assessment.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24416135</pmid><doi>10.1371/journal.pone.0081998</doi><tpages>e81998</tpages><oa>free_for_read</oa></addata></record> |
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source | Publicly Available Content Database; PubMed Central |
subjects | Adult Age Aged Aged, 80 and over Availability Cardiovascular disease Cardiovascular diseases Coronary artery disease Coronary Disease - epidemiology Coronary heart disease Data capture Demography Deprivation Family Health - standards Family Health - statistics & numerical data Family medicine Female Genetics Health aspects Health care Health risk assessment Health risks Health services Heart Heart diseases Humans Male Medical records Medical Records - standards Medical Records - statistics & numerical data Medical research Medicine Middle Aged Multilevel Odds Ratio Patients Primary Health Care - standards Primary Health Care - statistics & numerical data Quality assessment Registries Regression Risk assessment Risk Assessment - methods Risk Factors Statistical analysis United Kingdom - epidemiology Young Adult |
title | Availability and quality of coronary heart disease family history in primary care medical records: implications for cardiovascular risk assessment |
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