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Synthesizing Quantitative Evidence for Evidence-based Nursing: Systematic Review

DC Field Value Language
dc.contributor.author오의금-
dc.date.accessioned2017-02-27T08:13:11Z-
dc.date.available2017-02-27T08:13:11Z-
dc.date.issued2016-
dc.identifier.issn1976-1317-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/147119-
dc.description.abstractAs evidence-based practice has become an important issue in healthcare settings, the educational needs for knowledge and skills for the generation and utilization of healthcare evidence are increasing. Systematic review (SR), a way of evidence generation, is a synthesis of primary scientific evidence, which summarizes the best evidence on a specific clinical question using a transparent, a priori protocol driven approach. SR methodology requires a critical appraisal of primary studies, data extraction in a reliable and repeatable way, and examination for validity of the results. SRs are considered hierarchically as the highest form of evidence as they are a systematic search, identification, and summarization of the available evidence to answer a focused clinical question with particular attention to the methodological quality of studies or the credibility of opinion and text. The purpose of this paper is to introduce an overview of the fundamental knowledge, principals and processes in SR. The focus of this paper is on SR especially for the synthesis of quantitative data from primary research studies that examines the effectiveness of healthcare interventions. To activate evidence-based nursing care in various healthcare settings, the best and available scientific evidence are essential components. This paper will include some examples to promote understandings.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.publisherKorean Society of Nursing Science-
dc.relation.isPartOfASIAN NURSING RESEARCH-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHData Interpretation, Statistical-
dc.subject.MESHEvidence-Based Nursing-
dc.subject.MESHHumans-
dc.subject.MESHInformation Storage and Retrieval/methods-
dc.subject.MESHMeta-Analysis as Topic-
dc.subject.MESHResearch Design-
dc.subject.MESHReview Literature as Topic*-
dc.titleSynthesizing Quantitative Evidence for Evidence-based Nursing: Systematic Review-
dc.typeArticle-
dc.publisher.locationKorea-
dc.contributor.collegeCollege of Nursing-
dc.contributor.departmentDept. of Clinical Nursing-
dc.contributor.googleauthorEui Geum Oh-
dc.identifier.doi10.1016/j.anr.2016.05.001-
dc.contributor.localIdA02393-
dc.relation.journalcodeJ00253-
dc.identifier.eissn2093-7482-
dc.relation.journalsince2007~-
dc.identifier.pmid27349664-
dc.subject.keywordevidence-based practice-
dc.subject.keywordmeta-analysis-
dc.subject.keywordsystematic review-
dc.contributor.alternativeNameOh, Eui Geum-
dc.contributor.affiliatedAuthorOh, Eui Geum-
dc.citation.volume10-
dc.citation.number2-
dc.citation.startPage89-
dc.citation.endPage93-
dc.identifier.bibliographicCitationASIAN NURSING RESEARCH, Vol.10(2) : 89-93, 2016-
dc.date.modified2017-02-24-
dc.identifier.rimsid47150-
dc.type.rimsART-
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers

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