Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study

During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. To determine whether hospital differences in pre-pandemic and during pandemic nursing resource...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of nursing studies 2024-10, Vol.158, p.104830, Article 104830
Hauptverfasser: Lasater, Karen B., McHugh, Matthew D., Aiken, Linda H.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 104830
container_title International journal of nursing studies
container_volume 158
creator Lasater, Karen B.
McHugh, Matthew D.
Aiken, Linda H.
description During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. To determine whether hospital differences in pre-pandemic and during pandemic nursing resources—average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition—explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. This is a cross-sectional study of 87,936 Medicare beneficiaries (65–99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. The mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12–1.28], p 
doi_str_mv 10.1016/j.ijnurstu.2024.104830
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3072291930</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0020748924001421</els_id><sourcerecordid>3072291930</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-4610981f81471d29701701d4072b4bd2f0596488f7391d4b09bd7b8019ea58bb3</originalsourceid><addsrcrecordid>eNqFkNFLwzAQxoMobk7_hdFHXzovTdYkPjmGOmHoi4JvIWlSTdnambSD_fem1vkqHBwc3_fd3Q-hKYYZBpzfVDNX1Z0PbTfLIKNxSDmBEzTGnJGUCvx-isYAGaSMcjFCFyFUAIA58HM0Ilxgxigbo-dVE3auVZukT7NJaFVZuvoj2SvvVOuaOlG1SZbN3pkUi8RY1X6G22SRFL4JIQ226EXRH08xh0t0VqpNsFe_fYLeHu5fl6t0_fL4tFys0yITpE1pjkFwXHJMGTaZYIBjGQos01SbrIS5yCnnJSMijjUIbZjmgIVVc641maDrIXfnm6_OhlZuXSjsZqNq23RBkpiUCSwIRGk-SH8O9raUO--2yh8kBtmzlJU8spQ9SzmwjMbp745Ob635sx3hRcHdILDx072zXobC2bqwxvmIRZrG_bfjG3qOh6A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3072291930</pqid></control><display><type>article</type><title>Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Lasater, Karen B. ; McHugh, Matthew D. ; Aiken, Linda H.</creator><creatorcontrib>Lasater, Karen B. ; McHugh, Matthew D. ; Aiken, Linda H.</creatorcontrib><description>During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. To determine whether hospital differences in pre-pandemic and during pandemic nursing resources—average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition—explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. This is a cross-sectional study of 87,936 Medicare beneficiaries (65–99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. The mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12–1.28], p &lt; 0.001) and 15 % higher odds of 30-day mortality (OR 1.15, 95 % CI [1.09–1.21], p &lt; 0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided. Patients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.</description><identifier>ISSN: 0020-7489</identifier><identifier>ISSN: 1873-491X</identifier><identifier>EISSN: 1873-491X</identifier><identifier>DOI: 10.1016/j.ijnurstu.2024.104830</identifier><identifier>PMID: 38917747</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Covid-19 pandemic ; Hospital ; Mortality ; Nurse staffing ; Nurse work environment</subject><ispartof>International journal of nursing studies, 2024-10, Vol.158, p.104830, Article 104830</ispartof><rights>2024 The Author(s)</rights><rights>Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><rights>Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c293t-4610981f81471d29701701d4072b4bd2f0596488f7391d4b09bd7b8019ea58bb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijnurstu.2024.104830$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38917747$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lasater, Karen B.</creatorcontrib><creatorcontrib>McHugh, Matthew D.</creatorcontrib><creatorcontrib>Aiken, Linda H.</creatorcontrib><title>Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study</title><title>International journal of nursing studies</title><addtitle>Int J Nurs Stud</addtitle><description>During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. To determine whether hospital differences in pre-pandemic and during pandemic nursing resources—average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition—explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. This is a cross-sectional study of 87,936 Medicare beneficiaries (65–99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. The mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12–1.28], p &lt; 0.001) and 15 % higher odds of 30-day mortality (OR 1.15, 95 % CI [1.09–1.21], p &lt; 0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided. Patients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.</description><subject>Covid-19 pandemic</subject><subject>Hospital</subject><subject>Mortality</subject><subject>Nurse staffing</subject><subject>Nurse work environment</subject><issn>0020-7489</issn><issn>1873-491X</issn><issn>1873-491X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkNFLwzAQxoMobk7_hdFHXzovTdYkPjmGOmHoi4JvIWlSTdnambSD_fem1vkqHBwc3_fd3Q-hKYYZBpzfVDNX1Z0PbTfLIKNxSDmBEzTGnJGUCvx-isYAGaSMcjFCFyFUAIA58HM0Ilxgxigbo-dVE3auVZukT7NJaFVZuvoj2SvvVOuaOlG1SZbN3pkUi8RY1X6G22SRFL4JIQ226EXRH08xh0t0VqpNsFe_fYLeHu5fl6t0_fL4tFys0yITpE1pjkFwXHJMGTaZYIBjGQos01SbrIS5yCnnJSMijjUIbZjmgIVVc641maDrIXfnm6_OhlZuXSjsZqNq23RBkpiUCSwIRGk-SH8O9raUO--2yh8kBtmzlJU8spQ9SzmwjMbp745Ob635sx3hRcHdILDx072zXobC2bqwxvmIRZrG_bfjG3qOh6A</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Lasater, Karen B.</creator><creator>McHugh, Matthew D.</creator><creator>Aiken, Linda H.</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20241001</creationdate><title>Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study</title><author>Lasater, Karen B. ; McHugh, Matthew D. ; Aiken, Linda H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-4610981f81471d29701701d4072b4bd2f0596488f7391d4b09bd7b8019ea58bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Covid-19 pandemic</topic><topic>Hospital</topic><topic>Mortality</topic><topic>Nurse staffing</topic><topic>Nurse work environment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lasater, Karen B.</creatorcontrib><creatorcontrib>McHugh, Matthew D.</creatorcontrib><creatorcontrib>Aiken, Linda H.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</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>Lasater, Karen B.</au><au>McHugh, Matthew D.</au><au>Aiken, Linda H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study</atitle><jtitle>International journal of nursing studies</jtitle><addtitle>Int J Nurs Stud</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>158</volume><spage>104830</spage><pages>104830-</pages><artnum>104830</artnum><issn>0020-7489</issn><issn>1873-491X</issn><eissn>1873-491X</eissn><abstract>During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. To determine whether hospital differences in pre-pandemic and during pandemic nursing resources—average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition—explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. This is a cross-sectional study of 87,936 Medicare beneficiaries (65–99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. The mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12–1.28], p &lt; 0.001) and 15 % higher odds of 30-day mortality (OR 1.15, 95 % CI [1.09–1.21], p &lt; 0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided. Patients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38917747</pmid><doi>10.1016/j.ijnurstu.2024.104830</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0020-7489
ispartof International journal of nursing studies, 2024-10, Vol.158, p.104830, Article 104830
issn 0020-7489
1873-491X
1873-491X
language eng
recordid cdi_proquest_miscellaneous_3072291930
source Elsevier ScienceDirect Journals Complete
subjects Covid-19 pandemic
Hospital
Mortality
Nurse staffing
Nurse work environment
title Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T10%3A59%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hospital%20nurse%20staffing%20variation%20and%20Covid-19%20deaths:%20A%20cross-sectional%20study&rft.jtitle=International%20journal%20of%20nursing%20studies&rft.au=Lasater,%20Karen%20B.&rft.date=2024-10-01&rft.volume=158&rft.spage=104830&rft.pages=104830-&rft.artnum=104830&rft.issn=0020-7489&rft.eissn=1873-491X&rft_id=info:doi/10.1016/j.ijnurstu.2024.104830&rft_dat=%3Cproquest_cross%3E3072291930%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3072291930&rft_id=info:pmid/38917747&rft_els_id=S0020748924001421&rfr_iscdi=true