Nurses’ ‘worry’ as predictor of deteriorating surgical ward patients: A prospective cohort study of the Dutch-Early-Nurse-Worry-Indicator-Score
Nurses’ ‘worry’ is used as a calling criterion in many Rapid Response Systems, however it is valued inconsistently. Furthermore, barriers to call the Rapid Response Team can cause delay in escalating care. The literature identifies nine indicators which trigger nurses to worry about a patient's...
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Veröffentlicht in: | International journal of nursing studies 2016-07, Vol.59, p.134-140 |
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description | Nurses’ ‘worry’ is used as a calling criterion in many Rapid Response Systems, however it is valued inconsistently. Furthermore, barriers to call the Rapid Response Team can cause delay in escalating care. The literature identifies nine indicators which trigger nurses to worry about a patient's condition.
The objective of this study is to determine the significance of nurses’ ‘worry’ and/or indicators underlying ‘worry’ to predict unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality among surgical ward patients.
A prospective cohort study.
A 500-bed tertiary University affiliated teaching hospital.
Adult, native speaking surgical patients, admitted to three surgical wards (traumatology, vascular- and abdominal/oncological surgery). We excluded patients with a non-ICU policy or with no curative treatment. Mentally incapacitated patients were also excluded.
We developed a new clinical assessment tool, the Dutch-Early-Nurse-Worry-Indicator-Score (DENWIS) based on signs underlying ‘worry’. Nurses systematically scored their ‘worry’ and the DENWIS once per shift or at any moment of ‘worry’. DENWIS measurements were linked to routinely measured vital signs. The composite endpoint was unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality. The DENWIS-indicators were included in a univariate and multivariate logistic regression analysis, subsequently inserting ‘worry’ and the Early Warning Score into the model. We calculated the area under the receiver-operating characteristics curve.
In 3522 patients there were 102 (2.9%) patients with unplanned Intensive Care Unit/High Dependency Unit-admissions or unexpected mortality. ‘Worry’ (0.81) and the DENWIS-model (0.85) had a lower area under the receiver-operating characteristics curve than the Early Warning Score (0.86). Adding ‘worry’ and the Early Warning Score to the DENWIS-model resulted in higher areas under the receiver operating characteristics curves (0.87 and 0.91, respectively) compared with the Early Warning Score only based on vital signs.
In this single-center study we showed that adding the Early Warning Score based on vital signs to the DENWIS-indicators improves prediction of unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality. |
doi_str_mv | 10.1016/j.ijnurstu.2016.04.006 |
format | Article |
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The objective of this study is to determine the significance of nurses’ ‘worry’ and/or indicators underlying ‘worry’ to predict unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality among surgical ward patients.
A prospective cohort study.
A 500-bed tertiary University affiliated teaching hospital.
Adult, native speaking surgical patients, admitted to three surgical wards (traumatology, vascular- and abdominal/oncological surgery). We excluded patients with a non-ICU policy or with no curative treatment. Mentally incapacitated patients were also excluded.
We developed a new clinical assessment tool, the Dutch-Early-Nurse-Worry-Indicator-Score (DENWIS) based on signs underlying ‘worry’. Nurses systematically scored their ‘worry’ and the DENWIS once per shift or at any moment of ‘worry’. DENWIS measurements were linked to routinely measured vital signs. The composite endpoint was unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality. The DENWIS-indicators were included in a univariate and multivariate logistic regression analysis, subsequently inserting ‘worry’ and the Early Warning Score into the model. We calculated the area under the receiver-operating characteristics curve.
In 3522 patients there were 102 (2.9%) patients with unplanned Intensive Care Unit/High Dependency Unit-admissions or unexpected mortality. ‘Worry’ (0.81) and the DENWIS-model (0.85) had a lower area under the receiver-operating characteristics curve than the Early Warning Score (0.86). Adding ‘worry’ and the Early Warning Score to the DENWIS-model resulted in higher areas under the receiver operating characteristics curves (0.87 and 0.91, respectively) compared with the Early Warning Score only based on vital signs.
In this single-center study we showed that adding the Early Warning Score based on vital signs to the DENWIS-indicators improves prediction of unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality.</description><identifier>ISSN: 0020-7489</identifier><identifier>EISSN: 1873-491X</identifier><identifier>DOI: 10.1016/j.ijnurstu.2016.04.006</identifier><identifier>PMID: 27222458</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Aged ; Characteristics ; Clinical assessment ; Cohort analysis ; DENWIS ; Dependency ; Deterioration ; Early recognition ; Female ; Hospital Rapid Response Team ; Hospitalization ; Humans ; Intensive care ; Intensive Care Unit ; Intensive care units ; Male ; Middle Aged ; Mortality ; Netherlands ; Nurses ; Nursing ; Nursing Staff, Hospital ; Prospective Studies ; Surgery ; Surgical Procedures, Operative ; Surgical wards ; Teaching ; Teaching hospitals ; Teams ; Unplanned ; Worry</subject><ispartof>International journal of nursing studies, 2016-07, Vol.59, p.134-140</ispartof><rights>2016 The Author(s)</rights><rights>Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Jul 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-a6f63794ad34bb4933eeac8376fb6a9808c439c36fceda0c317e51031020ed9a3</citedby><cites>FETCH-LOGICAL-c477t-a6f63794ad34bb4933eeac8376fb6a9808c439c36fceda0c317e51031020ed9a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0020748916300244$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,30976,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27222458$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Douw, Gooske</creatorcontrib><creatorcontrib>Huisman-de Waal, Getty</creatorcontrib><creatorcontrib>van Zanten, Arthur R.H.</creatorcontrib><creatorcontrib>van der Hoeven, Johannes G.</creatorcontrib><creatorcontrib>Schoonhoven, Lisette</creatorcontrib><title>Nurses’ ‘worry’ as predictor of deteriorating surgical ward patients: A prospective cohort study of the Dutch-Early-Nurse-Worry-Indicator-Score</title><title>International journal of nursing studies</title><addtitle>Int J Nurs Stud</addtitle><description>Nurses’ ‘worry’ is used as a calling criterion in many Rapid Response Systems, however it is valued inconsistently. Furthermore, barriers to call the Rapid Response Team can cause delay in escalating care. The literature identifies nine indicators which trigger nurses to worry about a patient's condition.
The objective of this study is to determine the significance of nurses’ ‘worry’ and/or indicators underlying ‘worry’ to predict unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality among surgical ward patients.
A prospective cohort study.
A 500-bed tertiary University affiliated teaching hospital.
Adult, native speaking surgical patients, admitted to three surgical wards (traumatology, vascular- and abdominal/oncological surgery). We excluded patients with a non-ICU policy or with no curative treatment. Mentally incapacitated patients were also excluded.
We developed a new clinical assessment tool, the Dutch-Early-Nurse-Worry-Indicator-Score (DENWIS) based on signs underlying ‘worry’. Nurses systematically scored their ‘worry’ and the DENWIS once per shift or at any moment of ‘worry’. DENWIS measurements were linked to routinely measured vital signs. The composite endpoint was unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality. The DENWIS-indicators were included in a univariate and multivariate logistic regression analysis, subsequently inserting ‘worry’ and the Early Warning Score into the model. We calculated the area under the receiver-operating characteristics curve.
In 3522 patients there were 102 (2.9%) patients with unplanned Intensive Care Unit/High Dependency Unit-admissions or unexpected mortality. ‘Worry’ (0.81) and the DENWIS-model (0.85) had a lower area under the receiver-operating characteristics curve than the Early Warning Score (0.86). Adding ‘worry’ and the Early Warning Score to the DENWIS-model resulted in higher areas under the receiver operating characteristics curves (0.87 and 0.91, respectively) compared with the Early Warning Score only based on vital signs.
In this single-center study we showed that adding the Early Warning Score based on vital signs to the DENWIS-indicators improves prediction of unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality.</description><subject>Aged</subject><subject>Characteristics</subject><subject>Clinical assessment</subject><subject>Cohort analysis</subject><subject>DENWIS</subject><subject>Dependency</subject><subject>Deterioration</subject><subject>Early recognition</subject><subject>Female</subject><subject>Hospital Rapid Response Team</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Intensive care</subject><subject>Intensive Care Unit</subject><subject>Intensive care units</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Netherlands</subject><subject>Nurses</subject><subject>Nursing</subject><subject>Nursing Staff, Hospital</subject><subject>Prospective Studies</subject><subject>Surgery</subject><subject>Surgical Procedures, Operative</subject><subject>Surgical wards</subject><subject>Teaching</subject><subject>Teaching hospitals</subject><subject>Teams</subject><subject>Unplanned</subject><subject>Worry</subject><issn>0020-7489</issn><issn>1873-491X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkc9u1DAQxi0EokvhFSpLXLg42LETJ5yo2gKVKjgAgpvldSZdr7LxYjut9taXQILX65MwYVsOXHryH_1mvpnvI-RI8EJwUb9eF349TjHlqSjxXXBVcF4_IgvRaMlUK74_JgvOS860atoD8iylNedcNLx5Sg5KXZalqpoF-fkRm0C6vflNb29-XYcYd_PdJrqN0HmXQ6Shpx1kiD5Em_14SdMUL72zA722saNb_IQxpzf0GItC2oLL_gqoC6sQM8URu93cI6-Ank7ZrdiZjcOO_VVm32ZJdj6ilkUx9tmFCM_Jk94OCV7cnYfk67uzLycf2MWn9-cnxxfMKa0zs3VfS90q20m1XKpWSgDrGqnrflnbFnd1SrZO1r2DznInhYZKcCnQF-haKw_Jq31fnPvHBCmbjU8OhsGOEKZkRIN0zZumehjVrdBSyrpB9OV_6DpMccRFZkpVpeJVi1S9pxx6liL0Zhv9xsadEdzMGZu1uc_YzBkbrgxmjIVHd-2n5Qa6f2X3oSLwdg8AWnflIZrkMCH0wEfMxnTBP6TxB8Q0wO0</recordid><startdate>201607</startdate><enddate>201607</enddate><creator>Douw, Gooske</creator><creator>Huisman-de Waal, Getty</creator><creator>van Zanten, Arthur R.H.</creator><creator>van der Hoeven, Johannes G.</creator><creator>Schoonhoven, Lisette</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</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>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201607</creationdate><title>Nurses’ ‘worry’ as predictor of deteriorating surgical ward patients: A prospective cohort study of the Dutch-Early-Nurse-Worry-Indicator-Score</title><author>Douw, Gooske ; Huisman-de Waal, Getty ; van Zanten, Arthur R.H. ; van der Hoeven, Johannes G. ; Schoonhoven, Lisette</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-a6f63794ad34bb4933eeac8376fb6a9808c439c36fceda0c317e51031020ed9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Characteristics</topic><topic>Clinical assessment</topic><topic>Cohort analysis</topic><topic>DENWIS</topic><topic>Dependency</topic><topic>Deterioration</topic><topic>Early recognition</topic><topic>Female</topic><topic>Hospital Rapid Response Team</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Intensive care</topic><topic>Intensive Care Unit</topic><topic>Intensive care units</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Netherlands</topic><topic>Nurses</topic><topic>Nursing</topic><topic>Nursing Staff, Hospital</topic><topic>Prospective Studies</topic><topic>Surgery</topic><topic>Surgical Procedures, Operative</topic><topic>Surgical wards</topic><topic>Teaching</topic><topic>Teaching hospitals</topic><topic>Teams</topic><topic>Unplanned</topic><topic>Worry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Douw, Gooske</creatorcontrib><creatorcontrib>Huisman-de Waal, Getty</creatorcontrib><creatorcontrib>van Zanten, Arthur R.H.</creatorcontrib><creatorcontrib>van der Hoeven, Johannes G.</creatorcontrib><creatorcontrib>Schoonhoven, Lisette</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of nursing studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Douw, Gooske</au><au>Huisman-de Waal, Getty</au><au>van Zanten, Arthur R.H.</au><au>van der Hoeven, Johannes G.</au><au>Schoonhoven, Lisette</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nurses’ ‘worry’ as predictor of deteriorating surgical ward patients: A prospective cohort study of the Dutch-Early-Nurse-Worry-Indicator-Score</atitle><jtitle>International journal of nursing studies</jtitle><addtitle>Int J Nurs Stud</addtitle><date>2016-07</date><risdate>2016</risdate><volume>59</volume><spage>134</spage><epage>140</epage><pages>134-140</pages><issn>0020-7489</issn><eissn>1873-491X</eissn><abstract>Nurses’ ‘worry’ is used as a calling criterion in many Rapid Response Systems, however it is valued inconsistently. Furthermore, barriers to call the Rapid Response Team can cause delay in escalating care. The literature identifies nine indicators which trigger nurses to worry about a patient's condition.
The objective of this study is to determine the significance of nurses’ ‘worry’ and/or indicators underlying ‘worry’ to predict unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality among surgical ward patients.
A prospective cohort study.
A 500-bed tertiary University affiliated teaching hospital.
Adult, native speaking surgical patients, admitted to three surgical wards (traumatology, vascular- and abdominal/oncological surgery). We excluded patients with a non-ICU policy or with no curative treatment. Mentally incapacitated patients were also excluded.
We developed a new clinical assessment tool, the Dutch-Early-Nurse-Worry-Indicator-Score (DENWIS) based on signs underlying ‘worry’. Nurses systematically scored their ‘worry’ and the DENWIS once per shift or at any moment of ‘worry’. DENWIS measurements were linked to routinely measured vital signs. The composite endpoint was unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality. The DENWIS-indicators were included in a univariate and multivariate logistic regression analysis, subsequently inserting ‘worry’ and the Early Warning Score into the model. We calculated the area under the receiver-operating characteristics curve.
In 3522 patients there were 102 (2.9%) patients with unplanned Intensive Care Unit/High Dependency Unit-admissions or unexpected mortality. ‘Worry’ (0.81) and the DENWIS-model (0.85) had a lower area under the receiver-operating characteristics curve than the Early Warning Score (0.86). Adding ‘worry’ and the Early Warning Score to the DENWIS-model resulted in higher areas under the receiver operating characteristics curves (0.87 and 0.91, respectively) compared with the Early Warning Score only based on vital signs.
In this single-center study we showed that adding the Early Warning Score based on vital signs to the DENWIS-indicators improves prediction of unplanned Intensive-Care/High-Dependency-Unit admission or unexpected mortality.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>27222458</pmid><doi>10.1016/j.ijnurstu.2016.04.006</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Characteristics Clinical assessment Cohort analysis DENWIS Dependency Deterioration Early recognition Female Hospital Rapid Response Team Hospitalization Humans Intensive care Intensive Care Unit Intensive care units Male Middle Aged Mortality Netherlands Nurses Nursing Nursing Staff, Hospital Prospective Studies Surgery Surgical Procedures, Operative Surgical wards Teaching Teaching hospitals Teams Unplanned Worry |
title | Nurses’ ‘worry’ as predictor of deteriorating surgical ward patients: A prospective cohort study of the Dutch-Early-Nurse-Worry-Indicator-Score |
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