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Computer decision support systems for asthma: a systematic review
Background: Increasing use of electronic health records offers the potential to incorporate computer decision support systems (CDSSs) to prompt evidence-based actions within routine consultations. Aim: To synthesise the evidence for the use of CDSSs by professionals managing people with asthma. Mate...
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Published in: | NPJ primary care respiratory medicine 2014-05, Vol.24 (1), p.14005-14005, Article 14005 |
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description | Background:
Increasing use of electronic health records offers the potential to incorporate computer decision support systems (CDSSs) to prompt evidence-based actions within routine consultations.
Aim:
To synthesise the evidence for the use of CDSSs by professionals managing people with asthma.
Materials and methods:
We systematically searched Medline, Embase, Health Technology Assessment, Cochrane and Inspec databases (1990 to April 2012, no language restrictions) for trials, and four online repositories for unpublished studies. We also wrote to authors. Eligible studies were randomised controlled trials of CDSSs supporting professional management of asthma. Studies were appraised (Cochrane Risk of Bias Tool) and findings synthesised narratively.
Results:
A total of 5787 articles were screened, and eight trials were found eligible, with six at high risk of bias. Overall, CDSSs for professionals were ineffective. Usage of the systems was generally low: in the only trial at low risk of bias the CDSS was not used at all. When a CDSS was used, compliance with the advice offered was also low. However, if actually used, CDSSs could result in closer guideline adherence (improve investigating, prescribing and issuing of action plans) and could improve some clinical outcomes. The study at moderate risk of bias showed increased prescribing of inhaled steroids.
Conclusions:
The current generation of CDSSs is unlikely to result in improvements in outcomes for patients with asthma because they are rarely used and the advice is not followed. Future decision support systems need to align better with professional workflows so that pertinent and timely advice is easily accessible within the consultation.
Asthma management: Helping health professionals make decisions
Currently available computer decision support systems (CDSSs) contribute little to improving clinical outcomes for people with asthma. CDSSs are interactive systems that are designed to assist physicians and other health professionals in making clinical decisions. As part of a systematic review, Susannah McLean and colleagues at the University of Edinburgh searched major bibliographic databases (Medline, Embase, Health Technology Assessment, Cochrane and Inspec) and online repositories for published reports, ongoing studies and unpublished trials on the use of CDSSs in the professional management of asthma. They found that CDSSs were generally ineffective for two reasons: the systems were rarely used and their |
doi_str_mv | 10.1038/npjpcrm.2014.5 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4373260</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4050699491</sourcerecordid><originalsourceid>FETCH-LOGICAL-c458t-dd28c3045c7bbb5f53f62d926da809cfd43cb2fa784867aa8feaab0438ffa1a73</originalsourceid><addsrcrecordid>eNptkU1Lw0AQhhdRtGivHiXgxUva_cxuPQil-AWCFz0vk81um9Jk425S8d-b0lqqeJph5pl3ZngRuiR4RDBT47pZNiZUI4oJH4kjNKBYiJRggo8P8jM0jHGJMSZUSEnpKTqjXHEyEXSApjNfNV1rQ1JYU8bS10nsmsaHNolfsbVVTJwPCcR2UcFtArsqtKVJgl2X9vMCnThYRTvcxXP0_nD_NntKX14fn2fTl9Rwodq0KKgyDHNhZJ7nwgnmMlpMaFaAwhPjCs5MTh1IxVUmAZSzADnmTDkHBCQ7R3db3abLK1sYW7cBVroJZQXhS3so9e9OXS703K81Z5LRDPcCNzuB4D86G1tdldHY1Qpq67uoiaCZZCSTG_T6D7r0Xaj79zSRSiqmssnmotGWMsHHGKzbH0Ow3hikdwbpjUFa9ANXhy_s8R87emC8BWLfquc2HOz9X_Ibf7qfXQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1787838697</pqid></control><display><type>article</type><title>Computer decision support systems for asthma: a systematic review</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Matui, Patricia ; Wyatt, Jeremy C ; Pinnock, Hilary ; Sheikh, Aziz ; McLean, Susannah</creator><creatorcontrib>Matui, Patricia ; Wyatt, Jeremy C ; Pinnock, Hilary ; Sheikh, Aziz ; McLean, Susannah</creatorcontrib><description>Background:
Increasing use of electronic health records offers the potential to incorporate computer decision support systems (CDSSs) to prompt evidence-based actions within routine consultations.
Aim:
To synthesise the evidence for the use of CDSSs by professionals managing people with asthma.
Materials and methods:
We systematically searched Medline, Embase, Health Technology Assessment, Cochrane and Inspec databases (1990 to April 2012, no language restrictions) for trials, and four online repositories for unpublished studies. We also wrote to authors. Eligible studies were randomised controlled trials of CDSSs supporting professional management of asthma. Studies were appraised (Cochrane Risk of Bias Tool) and findings synthesised narratively.
Results:
A total of 5787 articles were screened, and eight trials were found eligible, with six at high risk of bias. Overall, CDSSs for professionals were ineffective. Usage of the systems was generally low: in the only trial at low risk of bias the CDSS was not used at all. When a CDSS was used, compliance with the advice offered was also low. However, if actually used, CDSSs could result in closer guideline adherence (improve investigating, prescribing and issuing of action plans) and could improve some clinical outcomes. The study at moderate risk of bias showed increased prescribing of inhaled steroids.
Conclusions:
The current generation of CDSSs is unlikely to result in improvements in outcomes for patients with asthma because they are rarely used and the advice is not followed. Future decision support systems need to align better with professional workflows so that pertinent and timely advice is easily accessible within the consultation.
Asthma management: Helping health professionals make decisions
Currently available computer decision support systems (CDSSs) contribute little to improving clinical outcomes for people with asthma. CDSSs are interactive systems that are designed to assist physicians and other health professionals in making clinical decisions. As part of a systematic review, Susannah McLean and colleagues at the University of Edinburgh searched major bibliographic databases (Medline, Embase, Health Technology Assessment, Cochrane and Inspec) and online repositories for published reports, ongoing studies and unpublished trials on the use of CDSSs in the professional management of asthma. They found that CDSSs were generally ineffective for two reasons: the systems were rarely used and their advice was not followed. When used properly, however, CDSSs did provide some benefits. Future CDSSs must therefore align with professional workflow if they are to improve clinical outcomes.</description><identifier>ISSN: 2055-1010</identifier><identifier>EISSN: 2055-1010</identifier><identifier>DOI: 10.1038/npjpcrm.2014.5</identifier><identifier>PMID: 24841952</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/699/249/2510/31 ; 692/700 ; Asthma - therapy ; Clinical Trials as Topic ; Decision Support Systems, Clinical ; Humans ; Internal Medicine ; Medicine ; Medicine & Public Health ; Outcome and Process Assessment, Health Care ; Pneumology/Respiratory System ; Primary Care Medicine ; Quality of Life ; Thoracic Surgery ; Treatment Outcome</subject><ispartof>NPJ primary care respiratory medicine, 2014-05, Vol.24 (1), p.14005-14005, Article 14005</ispartof><rights>The Author(s) 2014</rights><rights>Copyright Nature Publishing Group May 2014</rights><rights>Copyright © 2014 Primary Care Respiratory Society UK/Macmillan Publishers Limited 2014 Primary Care Respiratory Society UK/Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-dd28c3045c7bbb5f53f62d926da809cfd43cb2fa784867aa8feaab0438ffa1a73</citedby><cites>FETCH-LOGICAL-c458t-dd28c3045c7bbb5f53f62d926da809cfd43cb2fa784867aa8feaab0438ffa1a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1787838697/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1787838697?pq-origsite=primo$$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/24841952$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Matui, Patricia</creatorcontrib><creatorcontrib>Wyatt, Jeremy C</creatorcontrib><creatorcontrib>Pinnock, Hilary</creatorcontrib><creatorcontrib>Sheikh, Aziz</creatorcontrib><creatorcontrib>McLean, Susannah</creatorcontrib><title>Computer decision support systems for asthma: a systematic review</title><title>NPJ primary care respiratory medicine</title><addtitle>npj Prim Care Resp Med</addtitle><addtitle>NPJ Prim Care Respir Med</addtitle><description>Background:
Increasing use of electronic health records offers the potential to incorporate computer decision support systems (CDSSs) to prompt evidence-based actions within routine consultations.
Aim:
To synthesise the evidence for the use of CDSSs by professionals managing people with asthma.
Materials and methods:
We systematically searched Medline, Embase, Health Technology Assessment, Cochrane and Inspec databases (1990 to April 2012, no language restrictions) for trials, and four online repositories for unpublished studies. We also wrote to authors. Eligible studies were randomised controlled trials of CDSSs supporting professional management of asthma. Studies were appraised (Cochrane Risk of Bias Tool) and findings synthesised narratively.
Results:
A total of 5787 articles were screened, and eight trials were found eligible, with six at high risk of bias. Overall, CDSSs for professionals were ineffective. Usage of the systems was generally low: in the only trial at low risk of bias the CDSS was not used at all. When a CDSS was used, compliance with the advice offered was also low. However, if actually used, CDSSs could result in closer guideline adherence (improve investigating, prescribing and issuing of action plans) and could improve some clinical outcomes. The study at moderate risk of bias showed increased prescribing of inhaled steroids.
Conclusions:
The current generation of CDSSs is unlikely to result in improvements in outcomes for patients with asthma because they are rarely used and the advice is not followed. Future decision support systems need to align better with professional workflows so that pertinent and timely advice is easily accessible within the consultation.
Asthma management: Helping health professionals make decisions
Currently available computer decision support systems (CDSSs) contribute little to improving clinical outcomes for people with asthma. CDSSs are interactive systems that are designed to assist physicians and other health professionals in making clinical decisions. As part of a systematic review, Susannah McLean and colleagues at the University of Edinburgh searched major bibliographic databases (Medline, Embase, Health Technology Assessment, Cochrane and Inspec) and online repositories for published reports, ongoing studies and unpublished trials on the use of CDSSs in the professional management of asthma. They found that CDSSs were generally ineffective for two reasons: the systems were rarely used and their advice was not followed. When used properly, however, CDSSs did provide some benefits. Future CDSSs must therefore align with professional workflow if they are to improve clinical outcomes.</description><subject>692/699/249/2510/31</subject><subject>692/700</subject><subject>Asthma - therapy</subject><subject>Clinical Trials as Topic</subject><subject>Decision Support Systems, Clinical</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Outcome and Process Assessment, Health Care</subject><subject>Pneumology/Respiratory System</subject><subject>Primary Care Medicine</subject><subject>Quality of Life</subject><subject>Thoracic Surgery</subject><subject>Treatment Outcome</subject><issn>2055-1010</issn><issn>2055-1010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkU1Lw0AQhhdRtGivHiXgxUva_cxuPQil-AWCFz0vk81um9Jk425S8d-b0lqqeJph5pl3ZngRuiR4RDBT47pZNiZUI4oJH4kjNKBYiJRggo8P8jM0jHGJMSZUSEnpKTqjXHEyEXSApjNfNV1rQ1JYU8bS10nsmsaHNolfsbVVTJwPCcR2UcFtArsqtKVJgl2X9vMCnThYRTvcxXP0_nD_NntKX14fn2fTl9Rwodq0KKgyDHNhZJ7nwgnmMlpMaFaAwhPjCs5MTh1IxVUmAZSzADnmTDkHBCQ7R3db3abLK1sYW7cBVroJZQXhS3so9e9OXS703K81Z5LRDPcCNzuB4D86G1tdldHY1Qpq67uoiaCZZCSTG_T6D7r0Xaj79zSRSiqmssnmotGWMsHHGKzbH0Ow3hikdwbpjUFa9ANXhy_s8R87emC8BWLfquc2HOz9X_Ibf7qfXQ</recordid><startdate>20140520</startdate><enddate>20140520</enddate><creator>Matui, Patricia</creator><creator>Wyatt, Jeremy C</creator><creator>Pinnock, Hilary</creator><creator>Sheikh, Aziz</creator><creator>McLean, Susannah</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>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></search><sort><creationdate>20140520</creationdate><title>Computer decision support systems for asthma: a systematic review</title><author>Matui, Patricia ; Wyatt, Jeremy C ; Pinnock, Hilary ; Sheikh, Aziz ; McLean, Susannah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-dd28c3045c7bbb5f53f62d926da809cfd43cb2fa784867aa8feaab0438ffa1a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>692/699/249/2510/31</topic><topic>692/700</topic><topic>Asthma - therapy</topic><topic>Clinical Trials as Topic</topic><topic>Decision Support Systems, Clinical</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Outcome and Process Assessment, Health Care</topic><topic>Pneumology/Respiratory System</topic><topic>Primary Care Medicine</topic><topic>Quality of Life</topic><topic>Thoracic Surgery</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Matui, Patricia</creatorcontrib><creatorcontrib>Wyatt, Jeremy C</creatorcontrib><creatorcontrib>Pinnock, Hilary</creatorcontrib><creatorcontrib>Sheikh, Aziz</creatorcontrib><creatorcontrib>McLean, Susannah</creatorcontrib><collection>SpringerOpen</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 (Proquest)</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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 & Medical Complete (Alumni)</collection><collection>Health & 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><jtitle>NPJ primary care respiratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Matui, Patricia</au><au>Wyatt, Jeremy C</au><au>Pinnock, Hilary</au><au>Sheikh, Aziz</au><au>McLean, Susannah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computer decision support systems for asthma: a systematic review</atitle><jtitle>NPJ primary care respiratory medicine</jtitle><stitle>npj Prim Care Resp Med</stitle><addtitle>NPJ Prim Care Respir Med</addtitle><date>2014-05-20</date><risdate>2014</risdate><volume>24</volume><issue>1</issue><spage>14005</spage><epage>14005</epage><pages>14005-14005</pages><artnum>14005</artnum><issn>2055-1010</issn><eissn>2055-1010</eissn><abstract>Background:
Increasing use of electronic health records offers the potential to incorporate computer decision support systems (CDSSs) to prompt evidence-based actions within routine consultations.
Aim:
To synthesise the evidence for the use of CDSSs by professionals managing people with asthma.
Materials and methods:
We systematically searched Medline, Embase, Health Technology Assessment, Cochrane and Inspec databases (1990 to April 2012, no language restrictions) for trials, and four online repositories for unpublished studies. We also wrote to authors. Eligible studies were randomised controlled trials of CDSSs supporting professional management of asthma. Studies were appraised (Cochrane Risk of Bias Tool) and findings synthesised narratively.
Results:
A total of 5787 articles were screened, and eight trials were found eligible, with six at high risk of bias. Overall, CDSSs for professionals were ineffective. Usage of the systems was generally low: in the only trial at low risk of bias the CDSS was not used at all. When a CDSS was used, compliance with the advice offered was also low. However, if actually used, CDSSs could result in closer guideline adherence (improve investigating, prescribing and issuing of action plans) and could improve some clinical outcomes. The study at moderate risk of bias showed increased prescribing of inhaled steroids.
Conclusions:
The current generation of CDSSs is unlikely to result in improvements in outcomes for patients with asthma because they are rarely used and the advice is not followed. Future decision support systems need to align better with professional workflows so that pertinent and timely advice is easily accessible within the consultation.
Asthma management: Helping health professionals make decisions
Currently available computer decision support systems (CDSSs) contribute little to improving clinical outcomes for people with asthma. CDSSs are interactive systems that are designed to assist physicians and other health professionals in making clinical decisions. As part of a systematic review, Susannah McLean and colleagues at the University of Edinburgh searched major bibliographic databases (Medline, Embase, Health Technology Assessment, Cochrane and Inspec) and online repositories for published reports, ongoing studies and unpublished trials on the use of CDSSs in the professional management of asthma. They found that CDSSs were generally ineffective for two reasons: the systems were rarely used and their advice was not followed. When used properly, however, CDSSs did provide some benefits. Future CDSSs must therefore align with professional workflow if they are to improve clinical outcomes.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>24841952</pmid><doi>10.1038/npjpcrm.2014.5</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 692/699/249/2510/31 692/700 Asthma - therapy Clinical Trials as Topic Decision Support Systems, Clinical Humans Internal Medicine Medicine Medicine & Public Health Outcome and Process Assessment, Health Care Pneumology/Respiratory System Primary Care Medicine Quality of Life Thoracic Surgery Treatment Outcome |
title | Computer decision support systems for asthma: a systematic review |
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