Treatment Mapping – A Systematic Methodology to Assess Quality, Efficiency and Variability in the Hemodialysis Delivery Process
Background/Aims: Radical thinking about the design of industrial processes has greatly improved the quality and efficiency of manufacturing and services. Applying similar methods in healthcare to deliver quality care at lower costs would be valuable. Methods: We have developed and validated a method...
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| Veröffentlicht in: | Blood purification 2008-01, Vol.26 (5), p.417-422 |
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| container_title | Blood purification |
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| creator | Alquist, Maria Bosch, Juan P. |
| description | Background/Aims: Radical thinking about the design of industrial processes has greatly improved the quality and efficiency of manufacturing and services. Applying similar methods in healthcare to deliver quality care at lower costs would be valuable. Methods: We have developed and validated a methodology – Treatment Mapping – to analyze the hemodialysis (HD) delivery as an operational process. Results: The methodology was well applicable in the 26 Gambro Healthcare clinics studied (Europe, Taiwan, USA). Monitor process, patient process and dialysis treatment times (mean ± SD) were 324.4 ± 46.0, 272.2 ± 34.5 and 221.6 ± 28.8 min, respectively. In general, significant variability in process cycle times was found in the clinics studied. Conclusion: HD delivery is a complex process influenced by patient characteristics, monitor/disposables design, staff skills and clinic practices and physical layout. The Treatment Mapping methodology is a useful tool to analyze the HD delivery from a process quality and process operational perspective. |
| doi_str_mv | 10.1159/000151664 |
| format | Article |
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Applying similar methods in healthcare to deliver quality care at lower costs would be valuable. Methods: We have developed and validated a methodology – Treatment Mapping – to analyze the hemodialysis (HD) delivery as an operational process. Results: The methodology was well applicable in the 26 Gambro Healthcare clinics studied (Europe, Taiwan, USA). Monitor process, patient process and dialysis treatment times (mean ± SD) were 324.4 ± 46.0, 272.2 ± 34.5 and 221.6 ± 28.8 min, respectively. In general, significant variability in process cycle times was found in the clinics studied. Conclusion: HD delivery is a complex process influenced by patient characteristics, monitor/disposables design, staff skills and clinic practices and physical layout. The Treatment Mapping methodology is a useful tool to analyze the HD delivery from a process quality and process operational perspective.</description><identifier>ISSN: 0253-5068</identifier><identifier>EISSN: 1421-9735</identifier><identifier>DOI: 10.1159/000151664</identifier><identifier>PMID: 18753742</identifier><identifier>CODEN: BLPUDO</identifier><language>eng</language><publisher>Basel, Switzerland: Karger</publisher><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Biological and medical sciences ; Clinical Competence ; Delivery of Health Care - methods ; Emergency and intensive care: renal failure. Dialysis management ; Female ; Humans ; Intensive care medicine ; Male ; Medical sciences ; Original Paper ; Quality Assurance, Health Care ; Renal Dialysis ; Total Quality Management - methods</subject><ispartof>Blood purification, 2008-01, Vol.26 (5), p.417-422</ispartof><rights>2008 S. Karger AG, Basel</rights><rights>2008 INIST-CNRS</rights><rights>Copyright 2008 S. Karger AG, Basel.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-6ab0a4d2372ce38ff7272b98e68304bec42ac60a5d01190f3f18b282df8411da3</citedby><cites>FETCH-LOGICAL-c334t-6ab0a4d2372ce38ff7272b98e68304bec42ac60a5d01190f3f18b282df8411da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2429,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20743371$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18753742$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alquist, Maria</creatorcontrib><creatorcontrib>Bosch, Juan P.</creatorcontrib><title>Treatment Mapping – A Systematic Methodology to Assess Quality, Efficiency and Variability in the Hemodialysis Delivery Process</title><title>Blood purification</title><addtitle>Blood Purif</addtitle><description>Background/Aims: Radical thinking about the design of industrial processes has greatly improved the quality and efficiency of manufacturing and services. Applying similar methods in healthcare to deliver quality care at lower costs would be valuable. Methods: We have developed and validated a methodology – Treatment Mapping – to analyze the hemodialysis (HD) delivery as an operational process. Results: The methodology was well applicable in the 26 Gambro Healthcare clinics studied (Europe, Taiwan, USA). Monitor process, patient process and dialysis treatment times (mean ± SD) were 324.4 ± 46.0, 272.2 ± 34.5 and 221.6 ± 28.8 min, respectively. In general, significant variability in process cycle times was found in the clinics studied. Conclusion: HD delivery is a complex process influenced by patient characteristics, monitor/disposables design, staff skills and clinic practices and physical layout. The Treatment Mapping methodology is a useful tool to analyze the HD delivery from a process quality and process operational perspective.</description><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Clinical Competence</subject><subject>Delivery of Health Care - methods</subject><subject>Emergency and intensive care: renal failure. Dialysis management</subject><subject>Female</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Original Paper</subject><subject>Quality Assurance, Health Care</subject><subject>Renal Dialysis</subject><subject>Total Quality Management - methods</subject><issn>0253-5068</issn><issn>1421-9735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpF0E9rFDEYx_Egil2rB-8iuSgIjub_ZI5LrVZoUbF6HZ7JPNlGZybbJCvMTV-D79BX4pRd2lMO-fB94EfIU87ecK6bt4wxrrkx6h5ZcSV41dRS3ycrJrSsNDP2iDzK-ceilNHNQ3LEba1lrcSK_LlMCGXEqdAL2G7DtKH_fv-la_p1zgVHKMHRCyxXsY9D3My0RLrOGXOmX3YwhDK_pqfeBxdwcjOFqaffIQXows0fDRMtV0jPcIx9gGHOIdN3OIRfmGb6OUW3hB6TBx6GjE8O7zH59v708uSsOv_04ePJ-rxyUqpSGegYqF7IWjiU1vta1KJrLBormerQKQHOMNA947xhXnpuO2FF763ivAd5TF7uu9sUr3eYSzuG7HAYYMK4y61pjLY1Ewt8tYcuxZwT-nabwghpbjlrb_Zub_de7PNDdNeN2N_Jw8ALeHEAkB0MPsHkQr51gtVKypov7tne_YS0wXQX2t_5D1Kdkn0</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Alquist, Maria</creator><creator>Bosch, Juan P.</creator><general>Karger</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></search><sort><creationdate>20080101</creationdate><title>Treatment Mapping – A Systematic Methodology to Assess Quality, Efficiency and Variability in the Hemodialysis Delivery Process</title><author>Alquist, Maria ; Bosch, Juan P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-6ab0a4d2372ce38ff7272b98e68304bec42ac60a5d01190f3f18b282df8411da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Biological and medical sciences</topic><topic>Clinical Competence</topic><topic>Delivery of Health Care - methods</topic><topic>Emergency and intensive care: renal failure. Dialysis management</topic><topic>Female</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Original Paper</topic><topic>Quality Assurance, Health Care</topic><topic>Renal Dialysis</topic><topic>Total Quality Management - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alquist, Maria</creatorcontrib><creatorcontrib>Bosch, Juan P.</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><jtitle>Blood purification</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alquist, Maria</au><au>Bosch, Juan P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Treatment Mapping – A Systematic Methodology to Assess Quality, Efficiency and Variability in the Hemodialysis Delivery Process</atitle><jtitle>Blood purification</jtitle><addtitle>Blood Purif</addtitle><date>2008-01-01</date><risdate>2008</risdate><volume>26</volume><issue>5</issue><spage>417</spage><epage>422</epage><pages>417-422</pages><issn>0253-5068</issn><eissn>1421-9735</eissn><coden>BLPUDO</coden><abstract>Background/Aims: Radical thinking about the design of industrial processes has greatly improved the quality and efficiency of manufacturing and services. Applying similar methods in healthcare to deliver quality care at lower costs would be valuable. Methods: We have developed and validated a methodology – Treatment Mapping – to analyze the hemodialysis (HD) delivery as an operational process. Results: The methodology was well applicable in the 26 Gambro Healthcare clinics studied (Europe, Taiwan, USA). Monitor process, patient process and dialysis treatment times (mean ± SD) were 324.4 ± 46.0, 272.2 ± 34.5 and 221.6 ± 28.8 min, respectively. In general, significant variability in process cycle times was found in the clinics studied. Conclusion: HD delivery is a complex process influenced by patient characteristics, monitor/disposables design, staff skills and clinic practices and physical layout. The Treatment Mapping methodology is a useful tool to analyze the HD delivery from a process quality and process operational perspective.</abstract><cop>Basel, Switzerland</cop><pub>Karger</pub><pmid>18753742</pmid><doi>10.1159/000151664</doi><tpages>6</tpages></addata></record> |
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| ispartof | Blood purification, 2008-01, Vol.26 (5), p.417-422 |
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| source | MEDLINE; Karger Journals Complete; Alma/SFX Local Collection |
| subjects | Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Biological and medical sciences Clinical Competence Delivery of Health Care - methods Emergency and intensive care: renal failure. Dialysis management Female Humans Intensive care medicine Male Medical sciences Original Paper Quality Assurance, Health Care Renal Dialysis Total Quality Management - methods |
| title | Treatment Mapping – A Systematic Methodology to Assess Quality, Efficiency and Variability in the Hemodialysis Delivery Process |
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