Medication prescribing patterns in ambulatory haemodialysis patients: comparisons of USRDS to a large not-for-profit dialysis provider

Background. End-stage renal disease (ESRD) patients are prescribed numerous medications. The United States Renal Data System (USRDS) reported on medication prescribing patterns in 1998. Since then, several new medications, treatment guidelines and recommendations have been introduced. The objective...

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Veröffentlicht in:Nephrology, dialysis, transplantation dialysis, transplantation, 2004-07, Vol.19 (7), p.1842-1848
Hauptverfasser: Manley, Harold J., Garvin, Cory G., Drayer, Debra K., Reid, Gerald M., Bender, Walter L., Neufeld, Timothy K., Hebbar, Sudarshan, Muther, Richard S.
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container_end_page 1848
container_issue 7
container_start_page 1842
container_title Nephrology, dialysis, transplantation
container_volume 19
creator Manley, Harold J.
Garvin, Cory G.
Drayer, Debra K.
Reid, Gerald M.
Bender, Walter L.
Neufeld, Timothy K.
Hebbar, Sudarshan
Muther, Richard S.
description Background. End-stage renal disease (ESRD) patients are prescribed numerous medications. The United States Renal Data System (USRDS) reported on medication prescribing patterns in 1998. Since then, several new medications, treatment guidelines and recommendations have been introduced. The objective was to analyse and compare haemodialysis (HD) patient medication prescribing patterns between the Dialysis Clinic, Inc. (DCI) database and the USRDS report. Methods. Point-prevalent (01/01/03) medication use data from the DCI national database was obtained. Data collected included patient demographics, reason for and duration of ESRD, and medication listed on profile. All medications were classified similar to the USRDS and by where taken (clinic vs home). Medication prescribing patterns were compared between DCI and USRDS databases. Comparisons between age groups (
doi_str_mv 10.1093/ndt/gfh280
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End-stage renal disease (ESRD) patients are prescribed numerous medications. The United States Renal Data System (USRDS) reported on medication prescribing patterns in 1998. Since then, several new medications, treatment guidelines and recommendations have been introduced. The objective was to analyse and compare haemodialysis (HD) patient medication prescribing patterns between the Dialysis Clinic, Inc. (DCI) database and the USRDS report. Methods. Point-prevalent (01/01/03) medication use data from the DCI national database was obtained. Data collected included patient demographics, reason for and duration of ESRD, and medication listed on profile. All medications were classified similar to the USRDS and by where taken (clinic vs home). Medication prescribing patterns were compared between DCI and USRDS databases. Comparisons between age groups (&lt;65 and ≥65 years) and diabetic status [diabetes mellitus (DM) vs non-DM] were made. Results. There were 128 477 medication orders categorized in 10 474 patients. DCI patient demographics were similar to present USRDS patients except for fewer Hispanics (P&lt;0.001). Patients were prescribed 12.3±5.0 (median 12) different medications (2.6±1.4 clinic medications and 10.0±4.5 home medications). This is higher than reported by USRDS (median 9 medications). Patient age did not influence number of medications used (P = 0.54). DM patients are prescribed more medications than non-DM (13.3±5.0 DM vs 11.6±4.8 non-DM; P&lt;0.00001). All medication class prescribing patterns were markedly different. Conclusion. The data suggest that medication prescribing patterns in HD patients have changed. The audit identified appropriate and questionable prescribing patterns. Various prescribing patterns identified areas for improvement in care (e.g. increased use of aspirin, beta-blockers and hyperlipidaemia medications) and areas requiring further investigation (e.g. high use of anti-acid, benzodiazepine and non-aluminum/non-calcium phosphate-binding medications).</description><identifier>ISSN: 0931-0509</identifier><identifier>EISSN: 1460-2385</identifier><identifier>DOI: 10.1093/ndt/gfh280</identifier><identifier>PMID: 15128886</identifier><identifier>CODEN: NDTREA</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Ambulatory Care ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Biological and medical sciences ; Databases, Factual ; Drug Prescriptions - statistics &amp; numerical data ; Emergency and intensive care: renal failure. Dialysis management ; evaluation ; Female ; Glomerulonephritis ; haemodialysis ; Humans ; Intensive care medicine ; Kidney Failure, Chronic - therapy ; Male ; Medical sciences ; medication ; Middle Aged ; Nephrology. Urinary tract diseases ; Nephropathies. Renovascular diseases. Renal failure ; pattern ; Renal Dialysis ; Surgery (general aspects). Transplantations, organ and tissue grafts. 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Dial. Transplant</addtitle><description>Background. End-stage renal disease (ESRD) patients are prescribed numerous medications. The United States Renal Data System (USRDS) reported on medication prescribing patterns in 1998. Since then, several new medications, treatment guidelines and recommendations have been introduced. The objective was to analyse and compare haemodialysis (HD) patient medication prescribing patterns between the Dialysis Clinic, Inc. (DCI) database and the USRDS report. Methods. Point-prevalent (01/01/03) medication use data from the DCI national database was obtained. Data collected included patient demographics, reason for and duration of ESRD, and medication listed on profile. All medications were classified similar to the USRDS and by where taken (clinic vs home). Medication prescribing patterns were compared between DCI and USRDS databases. Comparisons between age groups (&lt;65 and ≥65 years) and diabetic status [diabetes mellitus (DM) vs non-DM] were made. Results. There were 128 477 medication orders categorized in 10 474 patients. DCI patient demographics were similar to present USRDS patients except for fewer Hispanics (P&lt;0.001). Patients were prescribed 12.3±5.0 (median 12) different medications (2.6±1.4 clinic medications and 10.0±4.5 home medications). This is higher than reported by USRDS (median 9 medications). Patient age did not influence number of medications used (P = 0.54). DM patients are prescribed more medications than non-DM (13.3±5.0 DM vs 11.6±4.8 non-DM; P&lt;0.00001). All medication class prescribing patterns were markedly different. Conclusion. The data suggest that medication prescribing patterns in HD patients have changed. The audit identified appropriate and questionable prescribing patterns. Various prescribing patterns identified areas for improvement in care (e.g. increased use of aspirin, beta-blockers and hyperlipidaemia medications) and areas requiring further investigation (e.g. high use of anti-acid, benzodiazepine and non-aluminum/non-calcium phosphate-binding medications).</description><subject>Ambulatory Care</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Databases, Factual</subject><subject>Drug Prescriptions - statistics &amp; numerical data</subject><subject>Emergency and intensive care: renal failure. Dialysis management</subject><subject>evaluation</subject><subject>Female</subject><subject>Glomerulonephritis</subject><subject>haemodialysis</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Kidney Failure, Chronic - therapy</subject><subject>Male</subject><subject>Medical sciences</subject><subject>medication</subject><subject>Middle Aged</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Nephropathies. Renovascular diseases. Renal failure</subject><subject>pattern</subject><subject>Renal Dialysis</subject><subject>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</subject><subject>Surgery of the urinary system</subject><subject>United States</subject><issn>0931-0509</issn><issn>1460-2385</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpN0M9u1DAQBnALUdGlcOEBkC9wQEprx3Fic6MFWqryR5RKFRdr1hlvDUkcbC_qvgDPjatdUU4-zG--kT9CnnF2yJkWR1Ofj1buplbsAVnwpmVVLZR8SBZlyCsmmd4nj1P6wRjTddc9Ivtc8lop1S7In4_YewvZh4nOEZONfumnFZ0hZ4xTon6iMC7XA-QQN_QGcAy9h2GTfLpDHqecXlMbxhmiT6FsBEevLr--vaQ5UKADxBXSKeTKhVjNMTif6X1CDL99j_EJ2XMwJHy6ew_I1ft3307OqovPpx9O3lxUVqguV9pqazk4BnKJTeNU0_GGa66UBMtZi86JGrnFDrD82wEorWrdt1zKRgorDsjLbW45_GuNKZvRJ4vDABOGdTJdzYTWbVPgqy20MaQU0Zk5-hHixnBm7lo3pXWzbb3g57vU9XLE_p7uai7gxQ5AsjC4CJP16T-nZaOUKK7aOp8y3v6bQ_xp2k500pxdfzfn15-Ov5wfK6PFX50Qnb8</recordid><startdate>20040701</startdate><enddate>20040701</enddate><creator>Manley, Harold J.</creator><creator>Garvin, Cory G.</creator><creator>Drayer, Debra K.</creator><creator>Reid, Gerald M.</creator><creator>Bender, Walter L.</creator><creator>Neufeld, Timothy K.</creator><creator>Hebbar, Sudarshan</creator><creator>Muther, Richard S.</creator><general>Oxford University Press</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>7X8</scope></search><sort><creationdate>20040701</creationdate><title>Medication prescribing patterns in ambulatory haemodialysis patients: comparisons of USRDS to a large not-for-profit dialysis provider</title><author>Manley, Harold J. ; Garvin, Cory G. ; Drayer, Debra K. ; Reid, Gerald M. ; Bender, Walter L. ; Neufeld, Timothy K. ; Hebbar, Sudarshan ; Muther, Richard S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-9c9cc1af0a5be44f84714191885ac106eff32e1ce7ae050faa89829d6155453c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Ambulatory Care</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Biological and medical sciences</topic><topic>Databases, Factual</topic><topic>Drug Prescriptions - statistics &amp; numerical data</topic><topic>Emergency and intensive care: renal failure. Dialysis management</topic><topic>evaluation</topic><topic>Female</topic><topic>Glomerulonephritis</topic><topic>haemodialysis</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Kidney Failure, Chronic - therapy</topic><topic>Male</topic><topic>Medical sciences</topic><topic>medication</topic><topic>Middle Aged</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Nephropathies. Renovascular diseases. Renal failure</topic><topic>pattern</topic><topic>Renal Dialysis</topic><topic>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</topic><topic>Surgery of the urinary system</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Manley, Harold J.</creatorcontrib><creatorcontrib>Garvin, Cory G.</creatorcontrib><creatorcontrib>Drayer, Debra K.</creatorcontrib><creatorcontrib>Reid, Gerald M.</creatorcontrib><creatorcontrib>Bender, Walter L.</creatorcontrib><creatorcontrib>Neufeld, Timothy K.</creatorcontrib><creatorcontrib>Hebbar, Sudarshan</creatorcontrib><creatorcontrib>Muther, Richard S.</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>MEDLINE - Academic</collection><jtitle>Nephrology, dialysis, transplantation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manley, Harold J.</au><au>Garvin, Cory G.</au><au>Drayer, Debra K.</au><au>Reid, Gerald M.</au><au>Bender, Walter L.</au><au>Neufeld, Timothy K.</au><au>Hebbar, Sudarshan</au><au>Muther, Richard S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Medication prescribing patterns in ambulatory haemodialysis patients: comparisons of USRDS to a large not-for-profit dialysis provider</atitle><jtitle>Nephrology, dialysis, transplantation</jtitle><addtitle>Nephrol. Dial. Transplant</addtitle><date>2004-07-01</date><risdate>2004</risdate><volume>19</volume><issue>7</issue><spage>1842</spage><epage>1848</epage><pages>1842-1848</pages><issn>0931-0509</issn><eissn>1460-2385</eissn><coden>NDTREA</coden><abstract>Background. End-stage renal disease (ESRD) patients are prescribed numerous medications. The United States Renal Data System (USRDS) reported on medication prescribing patterns in 1998. Since then, several new medications, treatment guidelines and recommendations have been introduced. The objective was to analyse and compare haemodialysis (HD) patient medication prescribing patterns between the Dialysis Clinic, Inc. (DCI) database and the USRDS report. Methods. Point-prevalent (01/01/03) medication use data from the DCI national database was obtained. Data collected included patient demographics, reason for and duration of ESRD, and medication listed on profile. All medications were classified similar to the USRDS and by where taken (clinic vs home). Medication prescribing patterns were compared between DCI and USRDS databases. Comparisons between age groups (&lt;65 and ≥65 years) and diabetic status [diabetes mellitus (DM) vs non-DM] were made. Results. There were 128 477 medication orders categorized in 10 474 patients. DCI patient demographics were similar to present USRDS patients except for fewer Hispanics (P&lt;0.001). Patients were prescribed 12.3±5.0 (median 12) different medications (2.6±1.4 clinic medications and 10.0±4.5 home medications). This is higher than reported by USRDS (median 9 medications). Patient age did not influence number of medications used (P = 0.54). DM patients are prescribed more medications than non-DM (13.3±5.0 DM vs 11.6±4.8 non-DM; P&lt;0.00001). All medication class prescribing patterns were markedly different. Conclusion. The data suggest that medication prescribing patterns in HD patients have changed. The audit identified appropriate and questionable prescribing patterns. Various prescribing patterns identified areas for improvement in care (e.g. increased use of aspirin, beta-blockers and hyperlipidaemia medications) and areas requiring further investigation (e.g. high use of anti-acid, benzodiazepine and non-aluminum/non-calcium phosphate-binding medications).</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><pmid>15128886</pmid><doi>10.1093/ndt/gfh280</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Oxford University Press Journals Current; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Ambulatory Care
Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Biological and medical sciences
Databases, Factual
Drug Prescriptions - statistics & numerical data
Emergency and intensive care: renal failure. Dialysis management
evaluation
Female
Glomerulonephritis
haemodialysis
Humans
Intensive care medicine
Kidney Failure, Chronic - therapy
Male
Medical sciences
medication
Middle Aged
Nephrology. Urinary tract diseases
Nephropathies. Renovascular diseases. Renal failure
pattern
Renal Dialysis
Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases
Surgery of the urinary system
United States
title Medication prescribing patterns in ambulatory haemodialysis patients: comparisons of USRDS to a large not-for-profit dialysis provider
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