An Australian casemix classification for palliative care: lessons and policy implications of a national study
Objectives: To provide a nontechnical discussion of the development of a palliative care casemix classification and some policy implications of its implementation. Sample: 3866 palliative care patients who, in a three month period, had 4596 episodes of care provided by 58 palliative care services in...
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Veröffentlicht in: | Palliative medicine 2004-04, Vol.18 (3), p.227-233 |
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description | Objectives: To provide a nontechnical discussion of the development of a palliative care casemix classification and some policy implications of its implementation. Sample: 3866 palliative care patients who, in a three month period, had 4596 episodes of care provided by 58 palliative care services in Australia and New Zealand. Method: A detailed clinical and service utilization profile was collected on each patient with staff time and other resources measured on a daily basis. A statistical summary of the clinical variables was compiled as the first stage of the analysis. Results: Palliative care phase was found to be a good predictor of resource use, with patients fairly evenly distributed across the five categories. Clients treated in an inpatient setting had poorer function and higher symptom severity scores than those treated in an ambulatory setting, a result that is not surprising in this Australian setting. Discussion: Implementation of the resultant AN-SNAP classification has been proceeding since 1998 in some Australian jurisdictions. The development and implementation of a classification such as AN-SNAP provides the possibility of having a consistent approach to collecting palliative care data in Australia as well as a growing body of experience on how to progressively improve the classification over time. |
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Sample: 3866 palliative care patients who, in a three month period, had 4596 episodes of care provided by 58 palliative care services in Australia and New Zealand. Method: A detailed clinical and service utilization profile was collected on each patient with staff time and other resources measured on a daily basis. A statistical summary of the clinical variables was compiled as the first stage of the analysis. Results: Palliative care phase was found to be a good predictor of resource use, with patients fairly evenly distributed across the five categories. Clients treated in an inpatient setting had poorer function and higher symptom severity scores than those treated in an ambulatory setting, a result that is not surprising in this Australian setting. Discussion: Implementation of the resultant AN-SNAP classification has been proceeding since 1998 in some Australian jurisdictions. The development and implementation of a classification such as AN-SNAP provides the possibility of having a consistent approach to collecting palliative care data in Australia as well as a growing body of experience on how to progressively improve the classification over time.</description><identifier>ISSN: 0269-2163</identifier><identifier>EISSN: 1477-030X</identifier><identifier>DOI: 10.1191/0269216304pm876oa</identifier><identifier>PMID: 15198135</identifier><language>eng</language><publisher>Thousand Oaks, CA: Sage Publications</publisher><subject>Algorithms ; Ambulatory Care - classification ; Ambulatory Care - statistics & numerical data ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Australia ; Biological and medical sciences ; Blood. Blood and plasma substitutes. Blood products. Blood cells. Blood typing. Plasmapheresis. Apheresis ; Case mix systems ; Classification ; Clinical death. Palliative care. Organ gift and preservation ; Costs and Cost Analysis ; Data Collection ; Diagnosis-Related Groups - classification ; Health Policy ; Hospitals, Federal - statistics & numerical data ; Hospitals, Private - statistics & numerical data ; Humans ; Intensive care medicine ; Medical sciences ; New South Wales ; New Zealand ; Palliative care ; Palliative Care - classification ; Palliative Care - statistics & numerical data ; Transfusions. Complications. Transfusion reactions. 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Sample: 3866 palliative care patients who, in a three month period, had 4596 episodes of care provided by 58 palliative care services in Australia and New Zealand. Method: A detailed clinical and service utilization profile was collected on each patient with staff time and other resources measured on a daily basis. A statistical summary of the clinical variables was compiled as the first stage of the analysis. Results: Palliative care phase was found to be a good predictor of resource use, with patients fairly evenly distributed across the five categories. Clients treated in an inpatient setting had poorer function and higher symptom severity scores than those treated in an ambulatory setting, a result that is not surprising in this Australian setting. Discussion: Implementation of the resultant AN-SNAP classification has been proceeding since 1998 in some Australian jurisdictions. The development and implementation of a classification such as AN-SNAP provides the possibility of having a consistent approach to collecting palliative care data in Australia as well as a growing body of experience on how to progressively improve the classification over time.</description><subject>Algorithms</subject><subject>Ambulatory Care - classification</subject><subject>Ambulatory Care - statistics & numerical data</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Australia</subject><subject>Biological and medical sciences</subject><subject>Blood. Blood and plasma substitutes. Blood products. Blood cells. Blood typing. Plasmapheresis. Apheresis</subject><subject>Case mix systems</subject><subject>Classification</subject><subject>Clinical death. Palliative care. Organ gift and preservation</subject><subject>Costs and Cost Analysis</subject><subject>Data Collection</subject><subject>Diagnosis-Related Groups - classification</subject><subject>Health Policy</subject><subject>Hospitals, Federal - statistics & numerical data</subject><subject>Hospitals, Private - statistics & numerical data</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Medical sciences</subject><subject>New South Wales</subject><subject>New Zealand</subject><subject>Palliative care</subject><subject>Palliative Care - classification</subject><subject>Palliative Care - statistics & numerical data</subject><subject>Transfusions. Complications. Transfusion reactions. 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Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Australia</topic><topic>Biological and medical sciences</topic><topic>Blood. Blood and plasma substitutes. Blood products. Blood cells. Blood typing. Plasmapheresis. Apheresis</topic><topic>Case mix systems</topic><topic>Classification</topic><topic>Clinical death. Palliative care. Organ gift and preservation</topic><topic>Costs and Cost Analysis</topic><topic>Data Collection</topic><topic>Diagnosis-Related Groups - classification</topic><topic>Health Policy</topic><topic>Hospitals, Federal - statistics & numerical data</topic><topic>Hospitals, Private - statistics & numerical data</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Medical sciences</topic><topic>New South Wales</topic><topic>New Zealand</topic><topic>Palliative care</topic><topic>Palliative Care - classification</topic><topic>Palliative Care - statistics & numerical data</topic><topic>Transfusions. Complications. Transfusion reactions. Cell and gene therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eagar, Kathy</creatorcontrib><creatorcontrib>Gordon, Robert</creatorcontrib><creatorcontrib>Green, Janette</creatorcontrib><creatorcontrib>Smith, Michael</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>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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>Social Science Premium Collection</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>British Nursing Index</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Sociology Database</collection><collection>Nursing & Allied Health Premium</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Palliative medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Eagar, Kathy</au><au>Gordon, Robert</au><au>Green, Janette</au><au>Smith, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Australian casemix classification for palliative care: lessons and policy implications of a national study</atitle><jtitle>Palliative medicine</jtitle><addtitle>Palliat Med</addtitle><date>2004-04</date><risdate>2004</risdate><volume>18</volume><issue>3</issue><spage>227</spage><epage>233</epage><pages>227-233</pages><issn>0269-2163</issn><eissn>1477-030X</eissn><abstract>Objectives: To provide a nontechnical discussion of the development of a palliative care casemix classification and some policy implications of its implementation. Sample: 3866 palliative care patients who, in a three month period, had 4596 episodes of care provided by 58 palliative care services in Australia and New Zealand. Method: A detailed clinical and service utilization profile was collected on each patient with staff time and other resources measured on a daily basis. A statistical summary of the clinical variables was compiled as the first stage of the analysis. Results: Palliative care phase was found to be a good predictor of resource use, with patients fairly evenly distributed across the five categories. Clients treated in an inpatient setting had poorer function and higher symptom severity scores than those treated in an ambulatory setting, a result that is not surprising in this Australian setting. Discussion: Implementation of the resultant AN-SNAP classification has been proceeding since 1998 in some Australian jurisdictions. The development and implementation of a classification such as AN-SNAP provides the possibility of having a consistent approach to collecting palliative care data in Australia as well as a growing body of experience on how to progressively improve the classification over time.</abstract><cop>Thousand Oaks, CA</cop><pub>Sage Publications</pub><pmid>15198135</pmid><doi>10.1191/0269216304pm876oa</doi><tpages>7</tpages></addata></record> |
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subjects | Algorithms Ambulatory Care - classification Ambulatory Care - statistics & numerical data Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Australia Biological and medical sciences Blood. Blood and plasma substitutes. Blood products. Blood cells. Blood typing. Plasmapheresis. Apheresis Case mix systems Classification Clinical death. Palliative care. Organ gift and preservation Costs and Cost Analysis Data Collection Diagnosis-Related Groups - classification Health Policy Hospitals, Federal - statistics & numerical data Hospitals, Private - statistics & numerical data Humans Intensive care medicine Medical sciences New South Wales New Zealand Palliative care Palliative Care - classification Palliative Care - statistics & numerical data Transfusions. Complications. Transfusion reactions. Cell and gene therapy |
title | An Australian casemix classification for palliative care: lessons and policy implications of a national study |
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