Increasing quantitative literacy in nursing: A joint nursing-statistician perspective.

Increasing quantitative literacy in nursing: A joint nursing-statistician perspective.
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提高护理中的定量识字率:共同护理统计学家的观点。

DOI:
10.1111/jan.15150
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发表时间:
2022-04
影响因子:
3.8
通讯作者:
Hayat MJ
Hayat MJ
中科院分区:
医学3区
文献类型:
--
作者:
Schroeder K;Dumenci L;Sarwer DB;Wheeler DC;Hayat MJ

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强大的定量素养对于履行护士在不同教育水平、角色和环境中的专业责任是必要的。如果护士不了解用于生成证据的统计数据,则不可能进行基于证据的实践和系统改进。统计学是科学的语言,如果没有对统计方法的清晰理解,严格的护理科学就不可能存在。医疗和公共卫生数据的可用性和复杂性不断增加,以及对人口健康的日益关注,需要护理实践、领导力和科学方面日益复杂的定量素养(Hayat、Kim、Schwartz 和 Jiroutek,2021;Hayat、Schmiege 和 Cook,2014)。如果没有强大的定量知识,护理专业将失去领导以证据为导向、以人群为中心的健康改善努力的机会。数十年来,护理教育学、学术和研究中都记录了统计学知识和应用的严重局限性(Anthony,1996;Gaskin & Happell,2014;Hayat、Higgins、Schwartz 和 Staggs,2015;Hayat 等人,2021;Hayat) 等人,2014)。之前要求提高护理定量素养的工作完全或主要是由统计学家主导的,这为护士提供了做出贡献的机会和责任。没有
Strong quantitative literacy is necessary to fulfill nurses’ professional responsibilities across education levels, roles, and settings. Evidence-based practice and systems improvement are not possible if nurses do not understand the statistics employed in generating evidence. Statistics is the language of science and rigorous nursing science cannot exist without a clear understanding of statistical methods. Increasing availability and complexity of medical and public health data and a growing focus on population health necessitate increasingly sophisticated quantitative literacy in nursing practice, leadership, and science (Hayat, Kim, Schwartz, & Jiroutek, 2021; Hayat, Schmiege, & Cook, 2014). Without strong quantitative knowledge, the nursing profession will lose opportunities to lead evidencedriven, population-focused efforts for health improvement.Serious limitations in both knowledge and application of statistics have been documented in nursing pedagogy, scholarship, and research for decades (Anthony, 1996; Gaskin & Happell, 2014; Hayat, Higgins, Schwartz, & Staggs, 2015; Hayat et al., 2021; Hayat et al., 2014). Prior work calling for greater quantitative literacy in nursing has been solely or primarily statistician-led, leaving an opportunity and responsibility for nurses to contribute. Without
DOI: 10.1097/nne.0000000000000080
发表时间: 2015-01-01
期刊: NURSE EDUCATOR
影响因子: 2.6
作者:
Hayat, Matthew J.;Higgins, Melinda;Staggs, Vincent S.
通讯作者: Staggs, Vincent S.
DOI: 10.1016/j.outlook.2020.09.004
发表时间: 2021-03-24
期刊: NURSING OUTLOOK
影响因子: 4.3
作者:
Hayat, Matthew J.;Kim, MyoungJin;Jiroutek, Michael R.
通讯作者: Jiroutek, Michael R.
DOI: 10.1016/j.ijnurstu.2013.09.014
发表时间: 2014-05-01
影响因子: 8.1
作者:
Gaskin, Cadeyrn J.;Happell, Brenda
通讯作者: Happell, Brenda
DOI: 10.3928/01484834-20140321-01
发表时间: 2014-04-01
影响因子: 2
作者:
Hayat, Matthew J.;Schmiege, Sarah J.;Cook, Paul F.
通讯作者: Cook, Paul F.