Automated Clinical Reminders for Primary Care Providers in the Care of CKD: A Small Cluster-Randomized Controlled Trial

Background Primary care physicians (PCPs) care for most non–dialysis-dependent patients with chronic kidney disease (CKD). Studies suggest that PCPs may deliver suboptimal CKD care. One means to improve PCP treatment of CKD is clinical decision support systems (CDSSs). Study Design Cluster-randomize...

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Veröffentlicht in:American journal of kidney diseases 2011-12, Vol.58 (6), p.894-902
Hauptverfasser: Abdel-Kader, Khaled, MD, MSc, Fischer, Gary S., MD, Li, Jie, MA, Moore, Charity G., PhD, Hess, Rachel, MD, MSc, Unruh, Mark L., MD, MSc
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container_end_page 902
container_issue 6
container_start_page 894
container_title American journal of kidney diseases
container_volume 58
creator Abdel-Kader, Khaled, MD, MSc
Fischer, Gary S., MD
Li, Jie, MA
Moore, Charity G., PhD
Hess, Rachel, MD, MSc
Unruh, Mark L., MD, MSc
description Background Primary care physicians (PCPs) care for most non–dialysis-dependent patients with chronic kidney disease (CKD). Studies suggest that PCPs may deliver suboptimal CKD care. One means to improve PCP treatment of CKD is clinical decision support systems (CDSSs). Study Design Cluster-randomized controlled trial. Setting & Participants 30 PCPs in a university-based outpatient general internal medicine practice and their 248 patients with moderate to advanced CKD who had not been referred to a nephrologist. Intervention 2 CKD educational sessions were held for PCPs in both arms. The 15 intervention-arm PCPs also received real-time automated electronic medical record alerts for patients with estimated glomerular filtration rates
doi_str_mv 10.1053/j.ajkd.2011.08.028
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Studies suggest that PCPs may deliver suboptimal CKD care. One means to improve PCP treatment of CKD is clinical decision support systems (CDSSs). Study Design Cluster-randomized controlled trial. Setting &amp; Participants 30 PCPs in a university-based outpatient general internal medicine practice and their 248 patients with moderate to advanced CKD who had not been referred to a nephrologist. Intervention 2 CKD educational sessions were held for PCPs in both arms. The 15 intervention-arm PCPs also received real-time automated electronic medical record alerts for patients with estimated glomerular filtration rates &lt;45 mL/min/1.73 m2 recommending renal referral and urine albumin quantification if not done within the prior year. Outcomes Primary outcome was referral to a nephrologist; secondary outcomes were albuminuria/proteinuria assessment, CKD documentation, optimal blood pressure (ie, &lt;130/80 mm Hg), and use of renoprotective medications. Results The intervention and control arms did not differ in renal referrals (9.7% vs 16.5%, respectively; between-group difference, −6.8%; 95% CI, −15.5% to 1.8%; P = 0.1) or proteinuria assessments (39.3% vs 30.1%, respectively; between-group difference, 9.2%; 95% CI, −2.7% to 21.1%; P = 0.1). For intervention and control patients without a baseline proteinuria assessment, 27.7% versus 16.3%, respectively, had one at follow-up ( P = 0.06). After controlling for clustering, these findings were largely unchanged and no significant differences were apparent between groups. Limitations Small single-center university-based practice, use of a passive CDSS that required PCPs to trigger the electronic order set. Conclusions PCPs were willing to partake in a randomized trial of a CDSS to improve outpatient CKD care. Although CDSSs may have potential, larger studies are needed to further explore how best to deploy them to enhance CKD care.</description><identifier>ISSN: 0272-6386</identifier><identifier>EISSN: 1523-6838</identifier><identifier>DOI: 10.1053/j.ajkd.2011.08.028</identifier><identifier>PMID: 21982456</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Aged ; Biological and medical sciences ; Chronic kidney disease ; Decision Support Systems, Clinical ; estimated glomerular filtration rate ; Feasibility Studies ; Female ; Glomerular Filtration Rate ; Humans ; Kidneys ; Male ; Medical sciences ; Middle Aged ; nephrologist ; Nephrology ; Nephrology. Urinary tract diseases ; Nephropathies. Renovascular diseases. Renal failure ; Physicians, Primary Care ; Practice Patterns, Physicians' - standards ; primary care physician ; quality of care ; Quality of Health Care - standards ; Reminder Systems ; Renal failure ; Renal Insufficiency, Chronic - physiopathology ; Renal Insufficiency, Chronic - therapy ; renal referral ; Urinary system involvement in other diseases. Miscellaneous</subject><ispartof>American journal of kidney diseases, 2011-12, Vol.58 (6), p.894-902</ispartof><rights>National Kidney Foundation, Inc.</rights><rights>2011 National Kidney Foundation, Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.</rights><rights>2011 The National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c539t-f1dc032d09a5a426ca588be4efc1abc4dac1a7ea8aa8944fe010b2cea6e8eec3</citedby><cites>FETCH-LOGICAL-c539t-f1dc032d09a5a426ca588be4efc1abc4dac1a7ea8aa8944fe010b2cea6e8eec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0272638611013138$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=25250276$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21982456$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abdel-Kader, Khaled, MD, MSc</creatorcontrib><creatorcontrib>Fischer, Gary S., MD</creatorcontrib><creatorcontrib>Li, Jie, MA</creatorcontrib><creatorcontrib>Moore, Charity G., PhD</creatorcontrib><creatorcontrib>Hess, Rachel, MD, MSc</creatorcontrib><creatorcontrib>Unruh, Mark L., MD, MSc</creatorcontrib><title>Automated Clinical Reminders for Primary Care Providers in the Care of CKD: A Small Cluster-Randomized Controlled Trial</title><title>American journal of kidney diseases</title><addtitle>Am J Kidney Dis</addtitle><description>Background Primary care physicians (PCPs) care for most non–dialysis-dependent patients with chronic kidney disease (CKD). Studies suggest that PCPs may deliver suboptimal CKD care. One means to improve PCP treatment of CKD is clinical decision support systems (CDSSs). Study Design Cluster-randomized controlled trial. Setting &amp; Participants 30 PCPs in a university-based outpatient general internal medicine practice and their 248 patients with moderate to advanced CKD who had not been referred to a nephrologist. Intervention 2 CKD educational sessions were held for PCPs in both arms. The 15 intervention-arm PCPs also received real-time automated electronic medical record alerts for patients with estimated glomerular filtration rates &lt;45 mL/min/1.73 m2 recommending renal referral and urine albumin quantification if not done within the prior year. Outcomes Primary outcome was referral to a nephrologist; secondary outcomes were albuminuria/proteinuria assessment, CKD documentation, optimal blood pressure (ie, &lt;130/80 mm Hg), and use of renoprotective medications. Results The intervention and control arms did not differ in renal referrals (9.7% vs 16.5%, respectively; between-group difference, −6.8%; 95% CI, −15.5% to 1.8%; P = 0.1) or proteinuria assessments (39.3% vs 30.1%, respectively; between-group difference, 9.2%; 95% CI, −2.7% to 21.1%; P = 0.1). For intervention and control patients without a baseline proteinuria assessment, 27.7% versus 16.3%, respectively, had one at follow-up ( P = 0.06). After controlling for clustering, these findings were largely unchanged and no significant differences were apparent between groups. Limitations Small single-center university-based practice, use of a passive CDSS that required PCPs to trigger the electronic order set. Conclusions PCPs were willing to partake in a randomized trial of a CDSS to improve outpatient CKD care. Although CDSSs may have potential, larger studies are needed to further explore how best to deploy them to enhance CKD care.</description><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Chronic kidney disease</subject><subject>Decision Support Systems, Clinical</subject><subject>estimated glomerular filtration rate</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Kidneys</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>nephrologist</subject><subject>Nephrology</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Nephropathies. Renovascular diseases. Renal failure</subject><subject>Physicians, Primary Care</subject><subject>Practice Patterns, Physicians' - standards</subject><subject>primary care physician</subject><subject>quality of care</subject><subject>Quality of Health Care - standards</subject><subject>Reminder Systems</subject><subject>Renal failure</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><subject>Renal Insufficiency, Chronic - therapy</subject><subject>renal referral</subject><subject>Urinary system involvement in other diseases. Miscellaneous</subject><issn>0272-6386</issn><issn>1523-6838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kk1v1DAQhiMEokvhD3BAuSBOCf5IvA5ClVahfIhKoHbv1qwzoU6duLWTRe2vxyFL-ThwGtvzzuuxn0mS55TklJT8dZdDd9XkjFCaE5kTJh8kK1oyngnJ5cNkRdiaZYJLcZQ8CaEjhFRciMfJEaOVZEUpVsn3zTS6HkZs0tqawWiw6Tn2ZmjQh7R1Pv3qTQ_-Nq3BY9y4vfmZMkM6XuJy6tq0_vzuTbpJL3qwNjpNYUSfncPQuN7czeZuGL2zNi633oB9mjxqwQZ8dojHyfb96bb-mJ19-fCp3pxluuTVmLW00YSzhlRQQsGEhlLKHRbYago7XTQQ4xpBAsiqKFoklOyYRhAoETU_Tk4W2-tp12OjMXYBVl0vb1IOjPo7M5hL9c3tFWeMRsdo8Opg4N3NhGFUvQkarYUB3RRURUqxrqQQUckWpfYuBI_t_S2UqJmX6tTMS828FJEq8opFL_7s777kF6AoeHkQQIhsWg-DNuG3rmRlpDzr3i46jJ-5N-hV0AYHjY3xqEfVOPP_Pk7-KdeHabjCWwydm_wQMSmqAlNEXcyTNQ8WpYRyyiX_AcxRy4s</recordid><startdate>20111201</startdate><enddate>20111201</enddate><creator>Abdel-Kader, Khaled, MD, MSc</creator><creator>Fischer, Gary S., MD</creator><creator>Li, Jie, MA</creator><creator>Moore, Charity G., PhD</creator><creator>Hess, Rachel, MD, MSc</creator><creator>Unruh, Mark L., MD, MSc</creator><general>Elsevier Inc</general><general>Elsevier</general><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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20111201</creationdate><title>Automated Clinical Reminders for Primary Care Providers in the Care of CKD: A Small Cluster-Randomized Controlled Trial</title><author>Abdel-Kader, Khaled, MD, MSc ; Fischer, Gary S., MD ; Li, Jie, MA ; Moore, Charity G., PhD ; Hess, Rachel, MD, MSc ; Unruh, Mark L., MD, MSc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c539t-f1dc032d09a5a426ca588be4efc1abc4dac1a7ea8aa8944fe010b2cea6e8eec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Chronic kidney disease</topic><topic>Decision Support Systems, Clinical</topic><topic>estimated glomerular filtration rate</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Humans</topic><topic>Kidneys</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>nephrologist</topic><topic>Nephrology</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Nephropathies. Renovascular diseases. Renal failure</topic><topic>Physicians, Primary Care</topic><topic>Practice Patterns, Physicians' - standards</topic><topic>primary care physician</topic><topic>quality of care</topic><topic>Quality of Health Care - standards</topic><topic>Reminder Systems</topic><topic>Renal failure</topic><topic>Renal Insufficiency, Chronic - physiopathology</topic><topic>Renal Insufficiency, Chronic - therapy</topic><topic>renal referral</topic><topic>Urinary system involvement in other diseases. Miscellaneous</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abdel-Kader, Khaled, MD, MSc</creatorcontrib><creatorcontrib>Fischer, Gary S., MD</creatorcontrib><creatorcontrib>Li, Jie, MA</creatorcontrib><creatorcontrib>Moore, Charity G., PhD</creatorcontrib><creatorcontrib>Hess, Rachel, MD, MSc</creatorcontrib><creatorcontrib>Unruh, Mark L., MD, MSc</creatorcontrib><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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of kidney diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abdel-Kader, Khaled, MD, MSc</au><au>Fischer, Gary S., MD</au><au>Li, Jie, MA</au><au>Moore, Charity G., PhD</au><au>Hess, Rachel, MD, MSc</au><au>Unruh, Mark L., MD, MSc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated Clinical Reminders for Primary Care Providers in the Care of CKD: A Small Cluster-Randomized Controlled Trial</atitle><jtitle>American journal of kidney diseases</jtitle><addtitle>Am J Kidney Dis</addtitle><date>2011-12-01</date><risdate>2011</risdate><volume>58</volume><issue>6</issue><spage>894</spage><epage>902</epage><pages>894-902</pages><issn>0272-6386</issn><eissn>1523-6838</eissn><abstract>Background Primary care physicians (PCPs) care for most non–dialysis-dependent patients with chronic kidney disease (CKD). Studies suggest that PCPs may deliver suboptimal CKD care. One means to improve PCP treatment of CKD is clinical decision support systems (CDSSs). Study Design Cluster-randomized controlled trial. Setting &amp; Participants 30 PCPs in a university-based outpatient general internal medicine practice and their 248 patients with moderate to advanced CKD who had not been referred to a nephrologist. Intervention 2 CKD educational sessions were held for PCPs in both arms. The 15 intervention-arm PCPs also received real-time automated electronic medical record alerts for patients with estimated glomerular filtration rates &lt;45 mL/min/1.73 m2 recommending renal referral and urine albumin quantification if not done within the prior year. Outcomes Primary outcome was referral to a nephrologist; secondary outcomes were albuminuria/proteinuria assessment, CKD documentation, optimal blood pressure (ie, &lt;130/80 mm Hg), and use of renoprotective medications. Results The intervention and control arms did not differ in renal referrals (9.7% vs 16.5%, respectively; between-group difference, −6.8%; 95% CI, −15.5% to 1.8%; P = 0.1) or proteinuria assessments (39.3% vs 30.1%, respectively; between-group difference, 9.2%; 95% CI, −2.7% to 21.1%; P = 0.1). For intervention and control patients without a baseline proteinuria assessment, 27.7% versus 16.3%, respectively, had one at follow-up ( P = 0.06). After controlling for clustering, these findings were largely unchanged and no significant differences were apparent between groups. Limitations Small single-center university-based practice, use of a passive CDSS that required PCPs to trigger the electronic order set. Conclusions PCPs were willing to partake in a randomized trial of a CDSS to improve outpatient CKD care. Although CDSSs may have potential, larger studies are needed to further explore how best to deploy them to enhance CKD care.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>21982456</pmid><doi>10.1053/j.ajkd.2011.08.028</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Aged
Biological and medical sciences
Chronic kidney disease
Decision Support Systems, Clinical
estimated glomerular filtration rate
Feasibility Studies
Female
Glomerular Filtration Rate
Humans
Kidneys
Male
Medical sciences
Middle Aged
nephrologist
Nephrology
Nephrology. Urinary tract diseases
Nephropathies. Renovascular diseases. Renal failure
Physicians, Primary Care
Practice Patterns, Physicians' - standards
primary care physician
quality of care
Quality of Health Care - standards
Reminder Systems
Renal failure
Renal Insufficiency, Chronic - physiopathology
Renal Insufficiency, Chronic - therapy
renal referral
Urinary system involvement in other diseases. Miscellaneous
title Automated Clinical Reminders for Primary Care Providers in the Care of CKD: A Small Cluster-Randomized Controlled Trial
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