Nurses’ 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study
Objectives12-hour shifts worked by nurses on acute hospital wards have been associated with increased rates of missed care reported by nurses. This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observati...
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description | Objectives12-hour shifts worked by nurses on acute hospital wards have been associated with increased rates of missed care reported by nurses. This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observations taken on time according to an acuity-based surveillance protocol.DesignA retrospective observational study using routinely collected data from March 2012 to March 2015.Setting32 general inpatient wards at a large acute hospital in England.Participants658 628 nursing shifts nested in 24 069 ward days.Outcome measuresThe rate of daily delayed and missed vital signs observations. We focused on situations where vital signs observations were required at least every 4 hours and measured the number of instances where observations were delayed or missed, per 24-hour period. For each ward and each day, shift patterns were characterised in terms of proportion of care hours per patient day deriving from ‘long’ shifts (≥12 hours) for both registered nurses and healthcare assistants.ResultsOn 99 043 occasions (53%), observations were significantly delayed, and on 81 568 occasions (44%), observations were missed. Observations were more likely to be delayed when a higher proportion of the hours worked by healthcare assistants were part of long shifts (IRR=1.05; 95% CI 1.00 to 1.10). No significant association was found in relation to the proportion of hours registered nurses worked as long shifts.ConclusionOn days when a higher proportion of hours worked by healthcare assistants are from long shifts, the risk of delaying vital signs observations is higher, suggesting lower job performance. While longer shifts are thought to require fewer staff resources to maintain nurse-to-patient ratios, any benefits may be lost if staff become less productive. |
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This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observations taken on time according to an acuity-based surveillance protocol.DesignA retrospective observational study using routinely collected data from March 2012 to March 2015.Setting32 general inpatient wards at a large acute hospital in England.Participants658 628 nursing shifts nested in 24 069 ward days.Outcome measuresThe rate of daily delayed and missed vital signs observations. We focused on situations where vital signs observations were required at least every 4 hours and measured the number of instances where observations were delayed or missed, per 24-hour period. For each ward and each day, shift patterns were characterised in terms of proportion of care hours per patient day deriving from ‘long’ shifts (≥12 hours) for both registered nurses and healthcare assistants.ResultsOn 99 043 occasions (53%), observations were significantly delayed, and on 81 568 occasions (44%), observations were missed. Observations were more likely to be delayed when a higher proportion of the hours worked by healthcare assistants were part of long shifts (IRR=1.05; 95% CI 1.00 to 1.10). No significant association was found in relation to the proportion of hours registered nurses worked as long shifts.ConclusionOn days when a higher proportion of hours worked by healthcare assistants are from long shifts, the risk of delaying vital signs observations is higher, suggesting lower job performance. While longer shifts are thought to require fewer staff resources to maintain nurse-to-patient ratios, any benefits may be lost if staff become less productive.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2018-024778</identifier><identifier>PMID: 30782743</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Aged ; Clinical outcomes ; Continuity of Patient Care ; Efficiency ; England ; Female ; Health Services Research ; Humans ; Male ; Medicin och hälsovetenskap ; Monitoring, Physiologic ; Mortality ; Nurses ; Nursing care ; Nursing Care - standards ; Nursing Staff, Hospital ; Observational studies ; Patients ; Physicians ; Retrospective Studies ; Shift Work Schedule - adverse effects ; Vital Signs ; Work Schedule Tolerance ; Workforce planning</subject><ispartof>BMJ open, 2019, Vol.9 (1), p.e024778-e024778</ispartof><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.</rights><rights>2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b560t-28d80a971ede336b84f9701d97819d079d4beea2474cfeadf3f3cbcdb2d3ba273</citedby><cites>FETCH-LOGICAL-b560t-28d80a971ede336b84f9701d97819d079d4beea2474cfeadf3f3cbcdb2d3ba273</cites><orcidid>0000-0002-6858-3535</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/9/1/bmjopen-2018-024778.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/9/1/bmjopen-2018-024778.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,4024,27549,27550,27923,27924,27925,53791,53793,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30782743$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:141232630$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Dall’Ora, Chiara</creatorcontrib><creatorcontrib>Griffiths, Peter</creatorcontrib><creatorcontrib>Redfern, Oliver</creatorcontrib><creatorcontrib>Recio-Saucedo, Alejandra</creatorcontrib><creatorcontrib>Meredith, Paul</creatorcontrib><creatorcontrib>Ball, Jane</creatorcontrib><creatorcontrib>Missed Care Study Group</creatorcontrib><title>Nurses’ 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>Objectives12-hour shifts worked by nurses on acute hospital wards have been associated with increased rates of missed care reported by nurses. This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observations taken on time according to an acuity-based surveillance protocol.DesignA retrospective observational study using routinely collected data from March 2012 to March 2015.Setting32 general inpatient wards at a large acute hospital in England.Participants658 628 nursing shifts nested in 24 069 ward days.Outcome measuresThe rate of daily delayed and missed vital signs observations. We focused on situations where vital signs observations were required at least every 4 hours and measured the number of instances where observations were delayed or missed, per 24-hour period. For each ward and each day, shift patterns were characterised in terms of proportion of care hours per patient day deriving from ‘long’ shifts (≥12 hours) for both registered nurses and healthcare assistants.ResultsOn 99 043 occasions (53%), observations were significantly delayed, and on 81 568 occasions (44%), observations were missed. Observations were more likely to be delayed when a higher proportion of the hours worked by healthcare assistants were part of long shifts (IRR=1.05; 95% CI 1.00 to 1.10). No significant association was found in relation to the proportion of hours registered nurses worked as long shifts.ConclusionOn days when a higher proportion of hours worked by healthcare assistants are from long shifts, the risk of delaying vital signs observations is higher, suggesting lower job performance. While longer shifts are thought to require fewer staff resources to maintain nurse-to-patient ratios, any benefits may be lost if staff become less productive.</description><subject>Aged</subject><subject>Clinical outcomes</subject><subject>Continuity of Patient Care</subject><subject>Efficiency</subject><subject>England</subject><subject>Female</subject><subject>Health Services Research</subject><subject>Humans</subject><subject>Male</subject><subject>Medicin och hälsovetenskap</subject><subject>Monitoring, Physiologic</subject><subject>Mortality</subject><subject>Nurses</subject><subject>Nursing care</subject><subject>Nursing Care - standards</subject><subject>Nursing Staff, Hospital</subject><subject>Observational studies</subject><subject>Patients</subject><subject>Physicians</subject><subject>Retrospective Studies</subject><subject>Shift Work Schedule - adverse effects</subject><subject>Vital Signs</subject><subject>Work Schedule Tolerance</subject><subject>Workforce planning</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>D8T</sourceid><recordid>eNqNks1u1DAUhSMEolXpEyAhS2zYpPgvtsMCCVX8SRVsYG3Z8U3HQyYOdjLVSCx4jb5enwSHTMsUCQlvfG1_58j2PUXxlOAzQph4aTfrMEBfUkxUiSmXUj0ojinmvBS4qh4e1EfFaUprnAev6qqij4sjhqWikrPj4senKSZINz-vEaHlKkwRpZVvx4RM79DGpwQOhYgcdGaXy60fTYeSv-wTCjZB3JrRh3nRo1VIw-_jKxNdeoUijDFvQTP6LRzSs8M4ud2T4lFrugSn-_mk-Pru7ZfzD-XF5_cfz99clLYSeCypcgqbWhJwwJiwire1xMTVUpHaYVk7bgFM_gTetGBcy1rW2MZZ6pg1VLKTolx80xUMk9VD9BsTdzoYr_db33IFmiuiuMh8_U9-iMH9Ed0KCSeUUcFw1r5etBnYgGugH6Pp7lvcO-n9Sl-GrRZMEMZZNnixN4jh-wRp1LkLDXSd6SFMSdN8RcIUIXVGn_-FrnMD8_fOlOSiYgrPhmyhmtyNFKG9uwzBeg6T3odJz2HSS5iy6tnhO-40t9HJwNkCZPV_Of4C6frcBw</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Dall’Ora, Chiara</creator><creator>Griffiths, Peter</creator><creator>Redfern, Oliver</creator><creator>Recio-Saucedo, Alejandra</creator><creator>Meredith, Paul</creator><creator>Ball, Jane</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-6858-3535</orcidid></search><sort><creationdate>2019</creationdate><title>Nurses’ 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study</title><author>Dall’Ora, Chiara ; Griffiths, Peter ; Redfern, Oliver ; Recio-Saucedo, Alejandra ; Meredith, Paul ; Ball, Jane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b560t-28d80a971ede336b84f9701d97819d079d4beea2474cfeadf3f3cbcdb2d3ba273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Clinical outcomes</topic><topic>Continuity of Patient Care</topic><topic>Efficiency</topic><topic>England</topic><topic>Female</topic><topic>Health Services Research</topic><topic>Humans</topic><topic>Male</topic><topic>Medicin och hälsovetenskap</topic><topic>Monitoring, Physiologic</topic><topic>Mortality</topic><topic>Nurses</topic><topic>Nursing care</topic><topic>Nursing Care - standards</topic><topic>Nursing Staff, Hospital</topic><topic>Observational studies</topic><topic>Patients</topic><topic>Physicians</topic><topic>Retrospective Studies</topic><topic>Shift Work Schedule - adverse effects</topic><topic>Vital Signs</topic><topic>Work Schedule Tolerance</topic><topic>Workforce planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dall’Ora, Chiara</creatorcontrib><creatorcontrib>Griffiths, Peter</creatorcontrib><creatorcontrib>Redfern, Oliver</creatorcontrib><creatorcontrib>Recio-Saucedo, Alejandra</creatorcontrib><creatorcontrib>Meredith, Paul</creatorcontrib><creatorcontrib>Ball, Jane</creatorcontrib><creatorcontrib>Missed Care Study Group</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals: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>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Health & Medical Collection (Proquest)</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</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>Consumer Health Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Family Health Database (Proquest)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database (ProQuest)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</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><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dall’Ora, Chiara</au><au>Griffiths, Peter</au><au>Redfern, Oliver</au><au>Recio-Saucedo, Alejandra</au><au>Meredith, Paul</au><au>Ball, Jane</au><aucorp>Missed Care Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nurses’ 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2019</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>e024778</spage><epage>e024778</epage><pages>e024778-e024778</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>Objectives12-hour shifts worked by nurses on acute hospital wards have been associated with increased rates of missed care reported by nurses. This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observations taken on time according to an acuity-based surveillance protocol.DesignA retrospective observational study using routinely collected data from March 2012 to March 2015.Setting32 general inpatient wards at a large acute hospital in England.Participants658 628 nursing shifts nested in 24 069 ward days.Outcome measuresThe rate of daily delayed and missed vital signs observations. We focused on situations where vital signs observations were required at least every 4 hours and measured the number of instances where observations were delayed or missed, per 24-hour period. For each ward and each day, shift patterns were characterised in terms of proportion of care hours per patient day deriving from ‘long’ shifts (≥12 hours) for both registered nurses and healthcare assistants.ResultsOn 99 043 occasions (53%), observations were significantly delayed, and on 81 568 occasions (44%), observations were missed. Observations were more likely to be delayed when a higher proportion of the hours worked by healthcare assistants were part of long shifts (IRR=1.05; 95% CI 1.00 to 1.10). No significant association was found in relation to the proportion of hours registered nurses worked as long shifts.ConclusionOn days when a higher proportion of hours worked by healthcare assistants are from long shifts, the risk of delaying vital signs observations is higher, suggesting lower job performance. While longer shifts are thought to require fewer staff resources to maintain nurse-to-patient ratios, any benefits may be lost if staff become less productive.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>30782743</pmid><doi>10.1136/bmjopen-2018-024778</doi><orcidid>https://orcid.org/0000-0002-6858-3535</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Clinical outcomes Continuity of Patient Care Efficiency England Female Health Services Research Humans Male Medicin och hälsovetenskap Monitoring, Physiologic Mortality Nurses Nursing care Nursing Care - standards Nursing Staff, Hospital Observational studies Patients Physicians Retrospective Studies Shift Work Schedule - adverse effects Vital Signs Work Schedule Tolerance Workforce planning |
title | Nurses’ 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study |
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