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Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review

OBJECTIVE: To identify nurse staffing and patient care outcome literature in published systematic reviews and map out the evidence gaps for low/middle-income countries (LMICs). METHODS: We included quantitative systematic reviews on nurse staffing levels and patient care outcomes in regular ward set...

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Autores principales: Imam, Abdulazeez, Obiesie, Sopuruchukwu, Aluvaala, Jalemba, Maina, Jackson Michuki, Gathara, David, English, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562716/
https://www.ncbi.nlm.nih.gov/pubmed/36223964
http://dx.doi.org/10.1136/bmjopen-2022-064050
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author Imam, Abdulazeez
Obiesie, Sopuruchukwu
Aluvaala, Jalemba
Maina, Jackson Michuki
Gathara, David
English, Mike
author_facet Imam, Abdulazeez
Obiesie, Sopuruchukwu
Aluvaala, Jalemba
Maina, Jackson Michuki
Gathara, David
English, Mike
author_sort Imam, Abdulazeez
collection PubMed
description OBJECTIVE: To identify nurse staffing and patient care outcome literature in published systematic reviews and map out the evidence gaps for low/middle-income countries (LMICs). METHODS: We included quantitative systematic reviews on nurse staffing levels and patient care outcomes in regular ward settings published in English. We excluded qualitative reviews or reviews on nursing skill mix. We searched the Cochrane Register of Systematic Reviews, the Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, Medline, Embase and Cumulative Index to Nursing and Allied Health Literature from inception until July 2021. We used the A Measurement Tool to Assess Systematic Reviews -2 (AMSTAR-2) criteria for risk of bias assessment and conducted a narrative synthesis. RESULTS: From 843 papers, we included 14 in our final synthesis. There were overlaps in primary studies summarised across reviews, but overall, the reviews summarised 136 unique primary articles. Only 4 out of 14 reviews had data on LMIC publications and only 9 (6.6%) of 136 unique primary articles were conducted in LMICs. Only 8 of 23 patient care outcomes were reported from LMICs. Less research was conducted in contexts with staffing levels that are typical of many LMIC contexts. DISCUSSION: Our umbrella review identified very limited data for nurse staffing and patient care outcomes in LMICs. We also identified data from high-income countries might not be good proxies for LMICs as staffing levels where this research was conducted had comparatively better staffing levels than the few LMIC studies. This highlights a critical need for the conduct of nurse staffing research in LMIC contexts. LIMITATIONS: We included data on systematic reviews that scored low on our risk of bias assessment because we sought to provide a broad description of the research area. We only considered systematic reviews published in English and did not include any qualitative reviews in our synthesis. PROSPERO REGISTRATION NUMBER: CRD42021286908.
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spelling pubmed-95627162022-10-15 Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review Imam, Abdulazeez Obiesie, Sopuruchukwu Aluvaala, Jalemba Maina, Jackson Michuki Gathara, David English, Mike BMJ Open Global Health OBJECTIVE: To identify nurse staffing and patient care outcome literature in published systematic reviews and map out the evidence gaps for low/middle-income countries (LMICs). METHODS: We included quantitative systematic reviews on nurse staffing levels and patient care outcomes in regular ward settings published in English. We excluded qualitative reviews or reviews on nursing skill mix. We searched the Cochrane Register of Systematic Reviews, the Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, Medline, Embase and Cumulative Index to Nursing and Allied Health Literature from inception until July 2021. We used the A Measurement Tool to Assess Systematic Reviews -2 (AMSTAR-2) criteria for risk of bias assessment and conducted a narrative synthesis. RESULTS: From 843 papers, we included 14 in our final synthesis. There were overlaps in primary studies summarised across reviews, but overall, the reviews summarised 136 unique primary articles. Only 4 out of 14 reviews had data on LMIC publications and only 9 (6.6%) of 136 unique primary articles were conducted in LMICs. Only 8 of 23 patient care outcomes were reported from LMICs. Less research was conducted in contexts with staffing levels that are typical of many LMIC contexts. DISCUSSION: Our umbrella review identified very limited data for nurse staffing and patient care outcomes in LMICs. We also identified data from high-income countries might not be good proxies for LMICs as staffing levels where this research was conducted had comparatively better staffing levels than the few LMIC studies. This highlights a critical need for the conduct of nurse staffing research in LMIC contexts. LIMITATIONS: We included data on systematic reviews that scored low on our risk of bias assessment because we sought to provide a broad description of the research area. We only considered systematic reviews published in English and did not include any qualitative reviews in our synthesis. PROSPERO REGISTRATION NUMBER: CRD42021286908. BMJ Publishing Group 2022-10-12 /pmc/articles/PMC9562716/ /pubmed/36223964 http://dx.doi.org/10.1136/bmjopen-2022-064050 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/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/.
spellingShingle Global Health
Imam, Abdulazeez
Obiesie, Sopuruchukwu
Aluvaala, Jalemba
Maina, Jackson Michuki
Gathara, David
English, Mike
Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
title Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
title_full Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
title_fullStr Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
title_full_unstemmed Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
title_short Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
title_sort identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562716/
https://www.ncbi.nlm.nih.gov/pubmed/36223964
http://dx.doi.org/10.1136/bmjopen-2022-064050
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