Serial Palliative Performance Scale Assessment in a University General Hospital: A Pilot Study
Serial Palliative Performance Scale (PPS) assessments may predict functional decline and prognosis in cancer and noncancer patients and help with end-of-life decision making. To evaluate the functional status of using serial PPS assessments of patients being assisted in collaboration with the pallia...
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| Veröffentlicht in: | Journal of palliative medicine 2018-06, Vol.21 (6), p.842-845 |
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| container_title | Journal of palliative medicine |
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| creator | de Medeiros, Rafael Barone Stamm, Ana Maria Nunes de Faria Moritz, Rachel Duarte Freitas, Paulo Fontoura Kretzer, Lara Patrícia Gomes, Juliana Vieira |
| description | Serial Palliative Performance Scale (PPS) assessments may predict functional decline and prognosis in cancer and noncancer patients and help with end-of-life decision making.
To evaluate the functional status of using serial PPS assessments of patients being assisted in collaboration with the palliative care team (PCT).
Prospective cohort pilot study.
The sample consisted of 64 cancer and noncancer inpatients being assisted in collaboration with the PCT during the period from 2012 to 2016 (included 12 months). Patients' PPS scores were assessed in three sequential stages: prehospital, first PCT assessment, and outcome (discharge, transference to another unit or death). Functional performance was classified in categories as stable (PPS scores between 70% and 100%), transitional (PPS scores between 40% and 60%), and end of life (PPS scores between 10% and 30%).
The mean PPS score during the three assessment stages (respectively, 60.5%, 38.9%, and 25.9%) was significantly different (p |
| doi_str_mv | 10.1089/jpm.2017.0412 |
| format | Article |
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To evaluate the functional status of using serial PPS assessments of patients being assisted in collaboration with the palliative care team (PCT).
Prospective cohort pilot study.
The sample consisted of 64 cancer and noncancer inpatients being assisted in collaboration with the PCT during the period from 2012 to 2016 (included 12 months). Patients' PPS scores were assessed in three sequential stages: prehospital, first PCT assessment, and outcome (discharge, transference to another unit or death). Functional performance was classified in categories as stable (PPS scores between 70% and 100%), transitional (PPS scores between 40% and 60%), and end of life (PPS scores between 10% and 30%).
The mean PPS score during the three assessment stages (respectively, 60.5%, 38.9%, and 25.9%) was significantly different (p < 0.001). Cancer patients had higher PPS scores than noncancer patients; however, both groups exhibited a functional decline along the hospital stay. In both groups there was a negative correlation between the time frame between the different assessment stages and PPS scores (respectively, Pearson -0.4 and -0.6; p < 0.01). The survival curve of the first palliative assessment stage demonstrated earlier death in patients in the end-of-life category.
Serial PPS assessments are feasible and predicted functional decline in cancer and noncancer patients in this sample. Cancer patients exhibited higher initial functional scores but both cancer and noncancer patients declined in functionality along hospitalization. Earlier deaths occurred in the terminal PPS category than in the transitional PPS category.</description><identifier>ISSN: 1096-6218</identifier><identifier>EISSN: 1557-7740</identifier><identifier>DOI: 10.1089/jpm.2017.0412</identifier><identifier>PMID: 29350577</identifier><language>eng</language><publisher>United States</publisher><subject>Aged ; Aged, 80 and over ; Cohort Studies ; Female ; Hospital Mortality ; Hospitals, General - statistics & numerical data ; Hospitals, University - statistics & numerical data ; Humans ; Male ; Middle Aged ; Neoplasms - mortality ; Palliative Care - statistics & numerical data ; Pilot Projects ; Prospective Studies ; Retrospective Studies ; Survival Analysis ; Terminally Ill - statistics & numerical data</subject><ispartof>Journal of palliative medicine, 2018-06, Vol.21 (6), p.842-845</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c332t-c5a17d1bbc76295305744fa1dbae69b596e05b17dcafb7780c34aaa559e556743</citedby><cites>FETCH-LOGICAL-c332t-c5a17d1bbc76295305744fa1dbae69b596e05b17dcafb7780c34aaa559e556743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29350577$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Medeiros, Rafael Barone</creatorcontrib><creatorcontrib>Stamm, Ana Maria Nunes de Faria</creatorcontrib><creatorcontrib>Moritz, Rachel Duarte</creatorcontrib><creatorcontrib>Freitas, Paulo Fontoura</creatorcontrib><creatorcontrib>Kretzer, Lara Patrícia</creatorcontrib><creatorcontrib>Gomes, Juliana Vieira</creatorcontrib><title>Serial Palliative Performance Scale Assessment in a University General Hospital: A Pilot Study</title><title>Journal of palliative medicine</title><addtitle>J Palliat Med</addtitle><description>Serial Palliative Performance Scale (PPS) assessments may predict functional decline and prognosis in cancer and noncancer patients and help with end-of-life decision making.
To evaluate the functional status of using serial PPS assessments of patients being assisted in collaboration with the palliative care team (PCT).
Prospective cohort pilot study.
The sample consisted of 64 cancer and noncancer inpatients being assisted in collaboration with the PCT during the period from 2012 to 2016 (included 12 months). Patients' PPS scores were assessed in three sequential stages: prehospital, first PCT assessment, and outcome (discharge, transference to another unit or death). Functional performance was classified in categories as stable (PPS scores between 70% and 100%), transitional (PPS scores between 40% and 60%), and end of life (PPS scores between 10% and 30%).
The mean PPS score during the three assessment stages (respectively, 60.5%, 38.9%, and 25.9%) was significantly different (p < 0.001). Cancer patients had higher PPS scores than noncancer patients; however, both groups exhibited a functional decline along the hospital stay. In both groups there was a negative correlation between the time frame between the different assessment stages and PPS scores (respectively, Pearson -0.4 and -0.6; p < 0.01). The survival curve of the first palliative assessment stage demonstrated earlier death in patients in the end-of-life category.
Serial PPS assessments are feasible and predicted functional decline in cancer and noncancer patients in this sample. Cancer patients exhibited higher initial functional scores but both cancer and noncancer patients declined in functionality along hospitalization. Earlier deaths occurred in the terminal PPS category than in the transitional PPS category.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Hospital Mortality</subject><subject>Hospitals, General - statistics & numerical data</subject><subject>Hospitals, University - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasms - mortality</subject><subject>Palliative Care - statistics & numerical data</subject><subject>Pilot Projects</subject><subject>Prospective Studies</subject><subject>Retrospective Studies</subject><subject>Survival Analysis</subject><subject>Terminally Ill - statistics & numerical data</subject><issn>1096-6218</issn><issn>1557-7740</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kM9LwzAYhoMoTqdHr5Kjl86kbZrG2xi6CQMHc1fL1_QrZKQ_TFph_70Zm56-9_C8Lx8PIQ-czTjL1fO-b2Yx43LGUh5fkBsuhIykTNllyExlURbzfEJuvd8zFgpMXJNJrBLBhJQ35GuLzoClG7DWwGB-kG7Q1Z1roNVItxos0rn36H2D7UBNS4Hu2sA5b4YDXWKLLvRXne_NAPaFzunG2G6g22GsDnfkqgbr8f58p2T39vq5WEXrj-X7Yr6OdJLEQ6QFcFnxstQyi5VIwm9pWgOvSsBMlUJlyEQZEA11KWXOdJICgBAKhchkmkzJ02m3d933iH4oGuM1WgstdqMvuMpVxlSeyIBGJ1S7znuHddE704A7FJwVR6VFUFoclRZHpYF_PE-PZYPVP_3nMPkFzMtyKw</recordid><startdate>201806</startdate><enddate>201806</enddate><creator>de Medeiros, Rafael Barone</creator><creator>Stamm, Ana Maria Nunes de Faria</creator><creator>Moritz, Rachel Duarte</creator><creator>Freitas, Paulo Fontoura</creator><creator>Kretzer, Lara Patrícia</creator><creator>Gomes, Juliana Vieira</creator><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>201806</creationdate><title>Serial Palliative Performance Scale Assessment in a University General Hospital: A Pilot Study</title><author>de Medeiros, Rafael Barone ; Stamm, Ana Maria Nunes de Faria ; Moritz, Rachel Duarte ; Freitas, Paulo Fontoura ; Kretzer, Lara Patrícia ; Gomes, Juliana Vieira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c332t-c5a17d1bbc76295305744fa1dbae69b596e05b17dcafb7780c34aaa559e556743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cohort Studies</topic><topic>Female</topic><topic>Hospital Mortality</topic><topic>Hospitals, General - statistics & numerical data</topic><topic>Hospitals, University - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasms - mortality</topic><topic>Palliative Care - statistics & numerical data</topic><topic>Pilot Projects</topic><topic>Prospective Studies</topic><topic>Retrospective Studies</topic><topic>Survival Analysis</topic><topic>Terminally Ill - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Medeiros, Rafael Barone</creatorcontrib><creatorcontrib>Stamm, Ana Maria Nunes de Faria</creatorcontrib><creatorcontrib>Moritz, Rachel Duarte</creatorcontrib><creatorcontrib>Freitas, Paulo Fontoura</creatorcontrib><creatorcontrib>Kretzer, Lara Patrícia</creatorcontrib><creatorcontrib>Gomes, Juliana Vieira</creatorcontrib><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>Journal of palliative medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Medeiros, Rafael Barone</au><au>Stamm, Ana Maria Nunes de Faria</au><au>Moritz, Rachel Duarte</au><au>Freitas, Paulo Fontoura</au><au>Kretzer, Lara Patrícia</au><au>Gomes, Juliana Vieira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serial Palliative Performance Scale Assessment in a University General Hospital: A Pilot Study</atitle><jtitle>Journal of palliative medicine</jtitle><addtitle>J Palliat Med</addtitle><date>2018-06</date><risdate>2018</risdate><volume>21</volume><issue>6</issue><spage>842</spage><epage>845</epage><pages>842-845</pages><issn>1096-6218</issn><eissn>1557-7740</eissn><abstract>Serial Palliative Performance Scale (PPS) assessments may predict functional decline and prognosis in cancer and noncancer patients and help with end-of-life decision making.
To evaluate the functional status of using serial PPS assessments of patients being assisted in collaboration with the palliative care team (PCT).
Prospective cohort pilot study.
The sample consisted of 64 cancer and noncancer inpatients being assisted in collaboration with the PCT during the period from 2012 to 2016 (included 12 months). Patients' PPS scores were assessed in three sequential stages: prehospital, first PCT assessment, and outcome (discharge, transference to another unit or death). Functional performance was classified in categories as stable (PPS scores between 70% and 100%), transitional (PPS scores between 40% and 60%), and end of life (PPS scores between 10% and 30%).
The mean PPS score during the three assessment stages (respectively, 60.5%, 38.9%, and 25.9%) was significantly different (p < 0.001). Cancer patients had higher PPS scores than noncancer patients; however, both groups exhibited a functional decline along the hospital stay. In both groups there was a negative correlation between the time frame between the different assessment stages and PPS scores (respectively, Pearson -0.4 and -0.6; p < 0.01). The survival curve of the first palliative assessment stage demonstrated earlier death in patients in the end-of-life category.
Serial PPS assessments are feasible and predicted functional decline in cancer and noncancer patients in this sample. Cancer patients exhibited higher initial functional scores but both cancer and noncancer patients declined in functionality along hospitalization. Earlier deaths occurred in the terminal PPS category than in the transitional PPS category.</abstract><cop>United States</cop><pmid>29350577</pmid><doi>10.1089/jpm.2017.0412</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Aged, 80 and over Cohort Studies Female Hospital Mortality Hospitals, General - statistics & numerical data Hospitals, University - statistics & numerical data Humans Male Middle Aged Neoplasms - mortality Palliative Care - statistics & numerical data Pilot Projects Prospective Studies Retrospective Studies Survival Analysis Terminally Ill - statistics & numerical data |
| title | Serial Palliative Performance Scale Assessment in a University General Hospital: A Pilot Study |
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