Measuring quality of care for rheumatic diseases using an electronic medical record
Objectives:The objective of this study was twofold: (1) to determine how best to measure adherence with time-dependent quality indicators (QIs) related to laboratory monitoring, and (2) to assess the accuracy and efficiency of gathering QI adherence information from an electronic medical record (EMR...
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Veröffentlicht in: | Annals of the rheumatic diseases 2009-05, Vol.68 (5), p.680-684 |
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creator | Agnew-Blais, J C Coblyn, J S Katz, J N Anderson, R J Mehta, J Solomon, D H |
description | Objectives:The objective of this study was twofold: (1) to determine how best to measure adherence with time-dependent quality indicators (QIs) related to laboratory monitoring, and (2) to assess the accuracy and efficiency of gathering QI adherence information from an electronic medical record (EMR).Methods:A random sample of 100 patients were selected who had at least three visits with the diagnosis of rheumatoid arthritis (RA) at Brigham and Women’s Hospital Arthritis Center in 2005. Using the EMR, it was determined whether patients had been prescribed a disease-modifying antirheumatic drug (DMARD) (QI #1) and if patients starting therapy received appropriate baseline laboratory testing (QI #2). For patients consistently prescribed a DMARD, adherence with follow-up testing (QI #3) was calculated using three different methods, the Calendar, Interval and Rolling Interval Methods.Results:It was found that 97% of patients were prescribed a DMARD (QI #1) and baseline tests were completed in 50% of patients (QI #2). For follow-up testing (QI #3), mean adherence was 60% for the Calendar Method, 35% for the Interval Method, and 48% for the Rolling Interval Method. Using the Rolling Interval Method, adherence rates were similar across drug and laboratory testing type.Conclusions:Results for adherence with laboratory testing QIs for DMARD use differed depending on how the QIs were measured, suggesting that care must be taken in clearly defining methods. While EMRs will provide important opportunities for measuring adherence with QIs, they also present challenges that must be examined before widespread adoption of these data collection methods. |
doi_str_mv | 10.1136/ard.2008.089318 |
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Using the EMR, it was determined whether patients had been prescribed a disease-modifying antirheumatic drug (DMARD) (QI #1) and if patients starting therapy received appropriate baseline laboratory testing (QI #2). For patients consistently prescribed a DMARD, adherence with follow-up testing (QI #3) was calculated using three different methods, the Calendar, Interval and Rolling Interval Methods.Results:It was found that 97% of patients were prescribed a DMARD (QI #1) and baseline tests were completed in 50% of patients (QI #2). For follow-up testing (QI #3), mean adherence was 60% for the Calendar Method, 35% for the Interval Method, and 48% for the Rolling Interval Method. Using the Rolling Interval Method, adherence rates were similar across drug and laboratory testing type.Conclusions:Results for adherence with laboratory testing QIs for DMARD use differed depending on how the QIs were measured, suggesting that care must be taken in clearly defining methods. While EMRs will provide important opportunities for measuring adherence with QIs, they also present challenges that must be examined before widespread adoption of these data collection methods.</description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/ard.2008.089318</identifier><identifier>PMID: 18511547</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd and European League Against Rheumatism</publisher><subject>Antirheumatic Agents - therapeutic use ; Arthritis, Rheumatoid - drug therapy ; Biological and medical sciences ; Calendars ; Diseases of the osteoarticular system ; Drug Monitoring - methods ; Drug Monitoring - standards ; Drug Prescriptions - standards ; Drug Utilization - standards ; Female ; Guideline Adherence - standards ; Hospitals ; Humans ; Laboratories ; Male ; Massachusetts ; Medical records ; Medical Records Systems, Computerized ; Medical sciences ; Medicare ; Methods ; Middle Aged ; Miscellaneous. Osteoarticular involvement in other diseases ; Patients ; Quality Indicators, Health Care ; Quality of Health Care ; Rheumatoid arthritis ; Rheumatology ; Studies</subject><ispartof>Annals of the rheumatic diseases, 2009-05, Vol.68 (5), p.680-684</ispartof><rights>2009 BMJ Publishing Group and European League Against Rheumatism</rights><rights>2009 INIST-CNRS</rights><rights>Copyright: 2009 2009 BMJ Publishing Group and European League Against Rheumatism</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b522t-331a0659fb1e7ffca89415a99ab435010641a29c504bc5d081f79f9b57133b4a3</citedby><cites>FETCH-LOGICAL-b522t-331a0659fb1e7ffca89415a99ab435010641a29c504bc5d081f79f9b57133b4a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/68/5/680.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/68/5/680.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,230,314,776,780,881,3183,23550,27901,27902,77342,77373</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21330270$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18511547$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Agnew-Blais, J C</creatorcontrib><creatorcontrib>Coblyn, J S</creatorcontrib><creatorcontrib>Katz, J N</creatorcontrib><creatorcontrib>Anderson, R J</creatorcontrib><creatorcontrib>Mehta, J</creatorcontrib><creatorcontrib>Solomon, D H</creatorcontrib><title>Measuring quality of care for rheumatic diseases using an electronic medical record</title><title>Annals of the rheumatic diseases</title><addtitle>Ann Rheum Dis</addtitle><description>Objectives:The objective of this study was twofold: (1) to determine how best to measure adherence with time-dependent quality indicators (QIs) related to laboratory monitoring, and (2) to assess the accuracy and efficiency of gathering QI adherence information from an electronic medical record (EMR).Methods:A random sample of 100 patients were selected who had at least three visits with the diagnosis of rheumatoid arthritis (RA) at Brigham and Women’s Hospital Arthritis Center in 2005. Using the EMR, it was determined whether patients had been prescribed a disease-modifying antirheumatic drug (DMARD) (QI #1) and if patients starting therapy received appropriate baseline laboratory testing (QI #2). For patients consistently prescribed a DMARD, adherence with follow-up testing (QI #3) was calculated using three different methods, the Calendar, Interval and Rolling Interval Methods.Results:It was found that 97% of patients were prescribed a DMARD (QI #1) and baseline tests were completed in 50% of patients (QI #2). For follow-up testing (QI #3), mean adherence was 60% for the Calendar Method, 35% for the Interval Method, and 48% for the Rolling Interval Method. Using the Rolling Interval Method, adherence rates were similar across drug and laboratory testing type.Conclusions:Results for adherence with laboratory testing QIs for DMARD use differed depending on how the QIs were measured, suggesting that care must be taken in clearly defining methods. While EMRs will provide important opportunities for measuring adherence with QIs, they also present challenges that must be examined before widespread adoption of these data collection methods.</description><subject>Antirheumatic Agents - therapeutic use</subject><subject>Arthritis, Rheumatoid - drug therapy</subject><subject>Biological and medical sciences</subject><subject>Calendars</subject><subject>Diseases of the osteoarticular system</subject><subject>Drug Monitoring - methods</subject><subject>Drug Monitoring - standards</subject><subject>Drug Prescriptions - standards</subject><subject>Drug Utilization - standards</subject><subject>Female</subject><subject>Guideline Adherence - standards</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Male</subject><subject>Massachusetts</subject><subject>Medical records</subject><subject>Medical Records Systems, Computerized</subject><subject>Medical sciences</subject><subject>Medicare</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Miscellaneous. Osteoarticular involvement in other diseases</subject><subject>Patients</subject><subject>Quality Indicators, Health Care</subject><subject>Quality of Health Care</subject><subject>Rheumatoid arthritis</subject><subject>Rheumatology</subject><subject>Studies</subject><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkc1rFTEUxYMo9lldu5MBsQthXvMx-doI8qhVaXVRdRvuZJI2z5lJm8yI_e_NYx7Pj40QCOH8cjj3HoSeE7wmhIlTSN2aYqzWWGlG1AO0Io1QNcUCP0QrjDGrGy3kEXqS87Y8sSLqMToiihPCG7lCV5cO8pzCeF3dzdCH6b6KvrKQXOVjqtKNmweYgq26kAvpcjXnHQxj5XpnpxTHIg6uCxb6KjkbU_cUPfLQZ_dsfx-jr-_Ovmze1xefzz9s3l7ULad0qhkjgAXXviVOem9B6YZw0BrahnFMsGgIUG05blrLuxLdS-11yyVhrG2AHaM3i-_t3JYE1o1Tgt7cpjBAujcRgvlbGcONuY4_DNW0EYwUg5O9QYp3s8uTGUK2ru9hdHHORkhCtRA78OU_4DbOaSzDGSKlVLwcVajThbIp5pycP0Qh2OzqMqUus6vLLHWVHy_-nOA3v--nAK_2AOSyYJ9gtCEfOFo2ganEhasXLuTJ_TzokL6XIZjk5tO3jTn_eEnY1YYbXfjXC98O2_-m_AW85LnG</recordid><startdate>20090501</startdate><enddate>20090501</enddate><creator>Agnew-Blais, J C</creator><creator>Coblyn, J S</creator><creator>Katz, J N</creator><creator>Anderson, R J</creator><creator>Mehta, J</creator><creator>Solomon, D H</creator><general>BMJ Publishing Group Ltd and European League Against Rheumatism</general><general>BMJ Publishing Group</general><general>Elsevier Limited</general><scope>BSCLL</scope><scope>IQODW</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090501</creationdate><title>Measuring quality of care for rheumatic diseases using an electronic medical record</title><author>Agnew-Blais, J C ; Coblyn, J S ; Katz, J N ; Anderson, R J ; Mehta, J ; Solomon, D H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b522t-331a0659fb1e7ffca89415a99ab435010641a29c504bc5d081f79f9b57133b4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Antirheumatic Agents - therapeutic use</topic><topic>Arthritis, Rheumatoid - drug therapy</topic><topic>Biological and medical sciences</topic><topic>Calendars</topic><topic>Diseases of the osteoarticular system</topic><topic>Drug Monitoring - methods</topic><topic>Drug Monitoring - standards</topic><topic>Drug Prescriptions - standards</topic><topic>Drug Utilization - standards</topic><topic>Female</topic><topic>Guideline Adherence - standards</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Male</topic><topic>Massachusetts</topic><topic>Medical records</topic><topic>Medical Records Systems, Computerized</topic><topic>Medical sciences</topic><topic>Medicare</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Miscellaneous. Osteoarticular involvement in other diseases</topic><topic>Patients</topic><topic>Quality Indicators, Health Care</topic><topic>Quality of Health Care</topic><topic>Rheumatoid arthritis</topic><topic>Rheumatology</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Agnew-Blais, J C</creatorcontrib><creatorcontrib>Coblyn, J S</creatorcontrib><creatorcontrib>Katz, J N</creatorcontrib><creatorcontrib>Anderson, R J</creatorcontrib><creatorcontrib>Mehta, J</creatorcontrib><creatorcontrib>Solomon, D H</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science 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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of the rheumatic diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Agnew-Blais, J C</au><au>Coblyn, J S</au><au>Katz, J N</au><au>Anderson, R J</au><au>Mehta, J</au><au>Solomon, D H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring quality of care for rheumatic diseases using an electronic medical record</atitle><jtitle>Annals of the rheumatic diseases</jtitle><addtitle>Ann Rheum Dis</addtitle><date>2009-05-01</date><risdate>2009</risdate><volume>68</volume><issue>5</issue><spage>680</spage><epage>684</epage><pages>680-684</pages><issn>0003-4967</issn><eissn>1468-2060</eissn><coden>ARDIAO</coden><abstract>Objectives:The objective of this study was twofold: (1) to determine how best to measure adherence with time-dependent quality indicators (QIs) related to laboratory monitoring, and (2) to assess the accuracy and efficiency of gathering QI adherence information from an electronic medical record (EMR).Methods:A random sample of 100 patients were selected who had at least three visits with the diagnosis of rheumatoid arthritis (RA) at Brigham and Women’s Hospital Arthritis Center in 2005. Using the EMR, it was determined whether patients had been prescribed a disease-modifying antirheumatic drug (DMARD) (QI #1) and if patients starting therapy received appropriate baseline laboratory testing (QI #2). For patients consistently prescribed a DMARD, adherence with follow-up testing (QI #3) was calculated using three different methods, the Calendar, Interval and Rolling Interval Methods.Results:It was found that 97% of patients were prescribed a DMARD (QI #1) and baseline tests were completed in 50% of patients (QI #2). For follow-up testing (QI #3), mean adherence was 60% for the Calendar Method, 35% for the Interval Method, and 48% for the Rolling Interval Method. Using the Rolling Interval Method, adherence rates were similar across drug and laboratory testing type.Conclusions:Results for adherence with laboratory testing QIs for DMARD use differed depending on how the QIs were measured, suggesting that care must be taken in clearly defining methods. While EMRs will provide important opportunities for measuring adherence with QIs, they also present challenges that must be examined before widespread adoption of these data collection methods.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd and European League Against Rheumatism</pub><pmid>18511547</pmid><doi>10.1136/ard.2008.089318</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Antirheumatic Agents - therapeutic use Arthritis, Rheumatoid - drug therapy Biological and medical sciences Calendars Diseases of the osteoarticular system Drug Monitoring - methods Drug Monitoring - standards Drug Prescriptions - standards Drug Utilization - standards Female Guideline Adherence - standards Hospitals Humans Laboratories Male Massachusetts Medical records Medical Records Systems, Computerized Medical sciences Medicare Methods Middle Aged Miscellaneous. Osteoarticular involvement in other diseases Patients Quality Indicators, Health Care Quality of Health Care Rheumatoid arthritis Rheumatology Studies |
title | Measuring quality of care for rheumatic diseases using an electronic medical record |
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