Imam Abdulazeez, Obiesie Sopuruchukwu, Aluvaala Jalemba, Maina Michuki, Gathara David, English Mike
Oxford Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX1 3SY, UK.
Independent Researcher, Asaba, Nigeria.
Wellcome Open Res. 2022 May 12;6:363. doi: 10.12688/wellcomeopenres.17430.2. eCollection 2021.
: Adequate staffing is key to the delivery of nursing care and thus to improved inpatient and health service outcomes. Several systematic reviews have addressed the relationship between nurse staffing and these outcomes. Most primary studies within each systematic review are likely to be from high-income countries which have different practice contexts to low and middle-income countries (LMICs), although this has not been formally examined. We propose conducting an umbrella review to characterise the existing evidence linking nurse staffing to key outcomes and explicitly aim to identify evidence gaps in nurse staffing research in LMICs. : This protocol was developed using the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols (PRISMA-P). Literature searching will be conducted across Ovid Medline, Embase and EBSCO Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases. Two independent reviewers will conduct searching and data abstraction and discordance will be handled by discussion between both parties. The risk of bias of the individual studies will be performed using the AMSTAR-2 : Ethical permission is not required for this review as we will make use of already published data. We aim to publish the findings of our review in peer-reviewed journals. CRD42021286908.
充足的人员配备是提供护理服务的关键,因此对于改善住院患者情况和卫生服务结果至关重要。几项系统评价探讨了护士人员配备与这些结果之间的关系。尽管尚未进行正式研究,但每个系统评价中的大多数原始研究可能来自高收入国家,其实践背景与低收入和中等收入国家(LMICs)不同。我们建议进行一项综合评价,以描述将护士人员配备与关键结果联系起来的现有证据,并明确旨在找出LMICs护士人员配备研究中的证据空白。 本方案是根据系统评价和Meta分析方案的首选报告项目(PRISMA-P)制定的。将在Ovid Medline、Embase和EBSCO护理及相关健康文献累积索引(CINAHL)数据库中进行文献检索。两名独立的评审员将进行检索和数据提取,不一致之处将通过双方讨论解决。将使用AMSTAR-2对各个研究的偏倚风险进行评估 由于我们将使用已发表的数据,因此本评价无需伦理许可。我们旨在将评价结果发表在同行评审期刊上。CRD42021286908。