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Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort
Purpose To examine the feasibility of using the Mayo Clinic’s Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk. Methods A prospecti...
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| Published in: | Supportive care in cancer 2018-11, Vol.26 (11), p.3843-3849 |
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| container_issue | 11 |
| container_start_page | 3843 |
| container_title | Supportive care in cancer |
| container_volume | 26 |
| creator | Socwell, Caitlyn P. Bucci, Lucy Patchell, Sharni Kotowicz, Erika Edbrooke, Lara Pope, Rodney |
| description | Purpose
To examine the feasibility of using the Mayo Clinic’s Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk.
Methods
A prospective observational study was conducted at a metropolitan tertiary cancer centre in Melbourne, Australia. The ESDP score, along with patient outcomes and characteristics, were collected to examine the relationships between positive and negative ESDP scores and patient outcomes.
Results
A total of 136 participants met inclusion criteria for this study. The proportion with positive ESDP scores was greater in those with unplanned hospital admissions compared with planned admissions (χ
2
(1,
n
= 136) = 3.94,
p
= 0.047). The ESDP status was not a significant predictor of oncology hospital LOS (
r
pb
= 0.116,
p
= 0.178); however, the ESDP scores did predict discharge destination (χ
2
(2,
n
= 136) = 20.22,
p
|
| doi_str_mv | 10.1007/s00520-018-4252-8 |
| format | article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2041631169</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A555987320</galeid><sourcerecordid>A555987320</sourcerecordid><originalsourceid>FETCH-LOGICAL-c482t-ae9cc3267cb3d7d39928f1f7bf12bdc7cbc37dc745cfa75d1d39430b740fed0a3</originalsourceid><addsrcrecordid>eNp1kk1uFDEUhFsIRIbAAdggS2xYpIN_x93LaEQAKYgNWVtu__Q4eOzG9ix6l2twEQ6Uk-DOJAQQyJItlb9XqidV07xE8BRByN9mCBmGLURdSzHDbfeoWSFKSMsJ6R83K9hT1FLC2FHzLOcrCBHnDD9tjnDPOScdWjU_LovzrswgWvBJzhFsvAtO3Vx_z8DI5GeQVTImABsT0C6rrUyjAZOXIbgwghKjv_2bktFOlUWbZHEmFOBNGMt2cc5Fzie_jWuTK1mxGE6ADBokI_XO5VwFkFz-Clyoer3vvWJQ0cdxBipuYyrPmydW-mxe3L3HzeX5uy-bD-3F5_cfN2cXraIdLq00vVIEr7kaiOaa9D3uLLJ8sAgPWlVZEV5fypSVnGlUEUrgwCm0RkNJjps3B98pxW_7mlrUlMr4ur6J-ywwpGhNEFr3FX39F3oV9ynUdLcUZKyj3QM1Sm-ECzaWJNViKs4YY33HCYaVOv0HVY82O6diMNZV_Y8BdBhQKeacjBVTcjuZZoGgWLoiDl0RtSti6YpYory6C7wfdkb_mrgvRwXwAcj1K4wmPWz0f9efLI_NUQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2041055848</pqid></control><display><type>article</type><title>Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort</title><source>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</source><source>Sociology Collection</source><source>Springer Link</source><creator>Socwell, Caitlyn P. ; Bucci, Lucy ; Patchell, Sharni ; Kotowicz, Erika ; Edbrooke, Lara ; Pope, Rodney</creator><creatorcontrib>Socwell, Caitlyn P. ; Bucci, Lucy ; Patchell, Sharni ; Kotowicz, Erika ; Edbrooke, Lara ; Pope, Rodney</creatorcontrib><description>Purpose
To examine the feasibility of using the Mayo Clinic’s Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk.
Methods
A prospective observational study was conducted at a metropolitan tertiary cancer centre in Melbourne, Australia. The ESDP score, along with patient outcomes and characteristics, were collected to examine the relationships between positive and negative ESDP scores and patient outcomes.
Results
A total of 136 participants met inclusion criteria for this study. The proportion with positive ESDP scores was greater in those with unplanned hospital admissions compared with planned admissions (χ
2
(1,
n
= 136) = 3.94,
p
= 0.047). The ESDP status was not a significant predictor of oncology hospital LOS (
r
pb
= 0.116,
p
= 0.178); however, the ESDP scores did predict discharge destination (χ
2
(2,
n
= 136) = 20.22,
p
< .001). Those re-admitted within 14 days were more likely to have negative ESDP scores than those not readmitted within this time period (χ
2
(1,
n
= 136) = 5.22,
p
= 0.022). Those with positive ESDP scores received a greater number of hospital services whilst admitted than those with negative scores (
r
pb
= 0.388,
p
< .001) and were more likely to receive particular types of services.
Conclusion
The findings from this study suggest that the ESDP tool could be useful in an adult inpatient oncology population in a hospital with defined specialised hospital discharge planning services (SHDCPS). The ESDP may be beneficial for early identification of service types likely to be required in care and likely discharge destination, both of which can assist discharge planning (DP); however, the ESDP was not useful for predicting LOS or readmission risk in the adult inpatient oncology population without a SHDCPS model in place.</description><identifier>ISSN: 0941-4355</identifier><identifier>EISSN: 1433-7339</identifier><identifier>DOI: 10.1007/s00520-018-4252-8</identifier><identifier>PMID: 29777381</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Clinical outcomes ; Discharge ; Hospital admission and discharge ; Hospitalization ; Medical research ; Medicine ; Medicine & Public Health ; Nursing ; Nursing Research ; Oncology ; Original Article ; Pain Medicine ; Patient admissions ; Patient care planning ; Rehabilitation Medicine</subject><ispartof>Supportive care in cancer, 2018-11, Vol.26 (11), p.3843-3849</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Supportive Care in Cancer is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c482t-ae9cc3267cb3d7d39928f1f7bf12bdc7cbc37dc745cfa75d1d39430b740fed0a3</citedby><cites>FETCH-LOGICAL-c482t-ae9cc3267cb3d7d39928f1f7bf12bdc7cbc37dc745cfa75d1d39430b740fed0a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2041055848/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2041055848?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21394,21395,27924,27925,33611,33612,34530,34531,43733,44115,74221,74639</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29777381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Socwell, Caitlyn P.</creatorcontrib><creatorcontrib>Bucci, Lucy</creatorcontrib><creatorcontrib>Patchell, Sharni</creatorcontrib><creatorcontrib>Kotowicz, Erika</creatorcontrib><creatorcontrib>Edbrooke, Lara</creatorcontrib><creatorcontrib>Pope, Rodney</creatorcontrib><title>Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort</title><title>Supportive care in cancer</title><addtitle>Support Care Cancer</addtitle><addtitle>Support Care Cancer</addtitle><description>Purpose
To examine the feasibility of using the Mayo Clinic’s Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk.
Methods
A prospective observational study was conducted at a metropolitan tertiary cancer centre in Melbourne, Australia. The ESDP score, along with patient outcomes and characteristics, were collected to examine the relationships between positive and negative ESDP scores and patient outcomes.
Results
A total of 136 participants met inclusion criteria for this study. The proportion with positive ESDP scores was greater in those with unplanned hospital admissions compared with planned admissions (χ
2
(1,
n
= 136) = 3.94,
p
= 0.047). The ESDP status was not a significant predictor of oncology hospital LOS (
r
pb
= 0.116,
p
= 0.178); however, the ESDP scores did predict discharge destination (χ
2
(2,
n
= 136) = 20.22,
p
< .001). Those re-admitted within 14 days were more likely to have negative ESDP scores than those not readmitted within this time period (χ
2
(1,
n
= 136) = 5.22,
p
= 0.022). Those with positive ESDP scores received a greater number of hospital services whilst admitted than those with negative scores (
r
pb
= 0.388,
p
< .001) and were more likely to receive particular types of services.
Conclusion
The findings from this study suggest that the ESDP tool could be useful in an adult inpatient oncology population in a hospital with defined specialised hospital discharge planning services (SHDCPS). The ESDP may be beneficial for early identification of service types likely to be required in care and likely discharge destination, both of which can assist discharge planning (DP); however, the ESDP was not useful for predicting LOS or readmission risk in the adult inpatient oncology population without a SHDCPS model in place.</description><subject>Clinical outcomes</subject><subject>Discharge</subject><subject>Hospital admission and discharge</subject><subject>Hospitalization</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nursing</subject><subject>Nursing Research</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Pain Medicine</subject><subject>Patient admissions</subject><subject>Patient care planning</subject><subject>Rehabilitation Medicine</subject><issn>0941-4355</issn><issn>1433-7339</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>HEHIP</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><recordid>eNp1kk1uFDEUhFsIRIbAAdggS2xYpIN_x93LaEQAKYgNWVtu__Q4eOzG9ix6l2twEQ6Uk-DOJAQQyJItlb9XqidV07xE8BRByN9mCBmGLURdSzHDbfeoWSFKSMsJ6R83K9hT1FLC2FHzLOcrCBHnDD9tjnDPOScdWjU_LovzrswgWvBJzhFsvAtO3Vx_z8DI5GeQVTImABsT0C6rrUyjAZOXIbgwghKjv_2bktFOlUWbZHEmFOBNGMt2cc5Fzie_jWuTK1mxGE6ADBokI_XO5VwFkFz-Clyoer3vvWJQ0cdxBipuYyrPmydW-mxe3L3HzeX5uy-bD-3F5_cfN2cXraIdLq00vVIEr7kaiOaa9D3uLLJ8sAgPWlVZEV5fypSVnGlUEUrgwCm0RkNJjps3B98pxW_7mlrUlMr4ur6J-ywwpGhNEFr3FX39F3oV9ynUdLcUZKyj3QM1Sm-ECzaWJNViKs4YY33HCYaVOv0HVY82O6diMNZV_Y8BdBhQKeacjBVTcjuZZoGgWLoiDl0RtSti6YpYory6C7wfdkb_mrgvRwXwAcj1K4wmPWz0f9efLI_NUQ</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Socwell, Caitlyn P.</creator><creator>Bucci, Lucy</creator><creator>Patchell, Sharni</creator><creator>Kotowicz, Erika</creator><creator>Edbrooke, Lara</creator><creator>Pope, Rodney</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88J</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2R</scope><scope>M2S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20181101</creationdate><title>Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort</title><author>Socwell, Caitlyn P. ; Bucci, Lucy ; Patchell, Sharni ; Kotowicz, Erika ; Edbrooke, Lara ; Pope, Rodney</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c482t-ae9cc3267cb3d7d39928f1f7bf12bdc7cbc37dc745cfa75d1d39430b740fed0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Clinical outcomes</topic><topic>Discharge</topic><topic>Hospital admission and discharge</topic><topic>Hospitalization</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nursing</topic><topic>Nursing Research</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Pain Medicine</topic><topic>Patient admissions</topic><topic>Patient care planning</topic><topic>Rehabilitation Medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Socwell, Caitlyn P.</creatorcontrib><creatorcontrib>Bucci, Lucy</creatorcontrib><creatorcontrib>Patchell, Sharni</creatorcontrib><creatorcontrib>Kotowicz, Erika</creatorcontrib><creatorcontrib>Edbrooke, Lara</creatorcontrib><creatorcontrib>Pope, Rodney</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Social Science Journals</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 Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Supportive care in cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Socwell, Caitlyn P.</au><au>Bucci, Lucy</au><au>Patchell, Sharni</au><au>Kotowicz, Erika</au><au>Edbrooke, Lara</au><au>Pope, Rodney</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort</atitle><jtitle>Supportive care in cancer</jtitle><stitle>Support Care Cancer</stitle><addtitle>Support Care Cancer</addtitle><date>2018-11-01</date><risdate>2018</risdate><volume>26</volume><issue>11</issue><spage>3843</spage><epage>3849</epage><pages>3843-3849</pages><issn>0941-4355</issn><eissn>1433-7339</eissn><abstract>Purpose
To examine the feasibility of using the Mayo Clinic’s Early Screen for Discharge Planning (ESDP) tool in determining its predictive ability in an inpatient oncology hospital setting for variables including length of stay (LOS), discharge destination, and readmission risk.
Methods
A prospective observational study was conducted at a metropolitan tertiary cancer centre in Melbourne, Australia. The ESDP score, along with patient outcomes and characteristics, were collected to examine the relationships between positive and negative ESDP scores and patient outcomes.
Results
A total of 136 participants met inclusion criteria for this study. The proportion with positive ESDP scores was greater in those with unplanned hospital admissions compared with planned admissions (χ
2
(1,
n
= 136) = 3.94,
p
= 0.047). The ESDP status was not a significant predictor of oncology hospital LOS (
r
pb
= 0.116,
p
= 0.178); however, the ESDP scores did predict discharge destination (χ
2
(2,
n
= 136) = 20.22,
p
< .001). Those re-admitted within 14 days were more likely to have negative ESDP scores than those not readmitted within this time period (χ
2
(1,
n
= 136) = 5.22,
p
= 0.022). Those with positive ESDP scores received a greater number of hospital services whilst admitted than those with negative scores (
r
pb
= 0.388,
p
< .001) and were more likely to receive particular types of services.
Conclusion
The findings from this study suggest that the ESDP tool could be useful in an adult inpatient oncology population in a hospital with defined specialised hospital discharge planning services (SHDCPS). The ESDP may be beneficial for early identification of service types likely to be required in care and likely discharge destination, both of which can assist discharge planning (DP); however, the ESDP was not useful for predicting LOS or readmission risk in the adult inpatient oncology population without a SHDCPS model in place.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29777381</pmid><doi>10.1007/s00520-018-4252-8</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Supportive care in cancer, 2018-11, Vol.26 (11), p.3843-3849 |
| issn | 0941-4355 1433-7339 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2041631169 |
| source | Social Science Premium Collection (Proquest) (PQ_SDU_P3); Sociology Collection; Springer Link |
| subjects | Clinical outcomes Discharge Hospital admission and discharge Hospitalization Medical research Medicine Medicine & Public Health Nursing Nursing Research Oncology Original Article Pain Medicine Patient admissions Patient care planning Rehabilitation Medicine |
| title | Utility of Mayo Clinic’s early screen for discharge planning tool for predicting patient length of stay, discharge destination, and readmission risk in an inpatient oncology cohort |
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