Using Online Survey Software to Enhance Rigor and Efficiency of Knowledge Synthesis Reviews

Karen Dunn Lopez; Sheila M. Gephart; Patricia E. Hershberger

doi:10.1177/0193945920904442

Using Online Survey Software to Enhance Rigor and Efficiency of Knowledge Synthesis Reviews

Karen Dunn Lopez, Sheila M. Gephart, Patricia E. Hershberger

Nursing, College of

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

With the explosion of scientific literature, information technologies, and the rise of evidence-based health care, methodologies for literature reviews continue to advance. Yet there remains a lack of clarity about techniques to rigorously and efficiently extract and synthesize data from primary sources. We developed a new method for data extraction and synthesis for completing rigorous, knowledge synthesis using freely available online survey software that results in a review-specific, online data extraction, and synthesis tool. The purpose of this paper is to delineate this method using our published integrative review as an exemplar. Although the purpose of online survey software is to obtain and analyze survey responses, these software programs allows for the efficient extraction and synthesize of disparate study features from primary sources. Importantly, use of the method has the potential to increase the rigor and efficiency of published reviews bringing the promise of advancing multiple areas of health science.

Original language	English (US)
Pages (from-to)	838-845
Number of pages	8
Journal	Western journal of nursing research
Volume	42
Issue number	10
DOIs	https://doi.org/10.1177/0193945920904442
State	Published - Oct 1 2020

Keywords

data extraction
evidence-based practice
integrative review
knowledge synthesis
systematic review

ASJC Scopus subject areas

Nursing(all)

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10.1177/0193945920904442

Cite this

@article{44eb30eff4b041db81ce52517a12b53e,

title = "Using Online Survey Software to Enhance Rigor and Efficiency of Knowledge Synthesis Reviews",

abstract = "With the explosion of scientific literature, information technologies, and the rise of evidence-based health care, methodologies for literature reviews continue to advance. Yet there remains a lack of clarity about techniques to rigorously and efficiently extract and synthesize data from primary sources. We developed a new method for data extraction and synthesis for completing rigorous, knowledge synthesis using freely available online survey software that results in a review-specific, online data extraction, and synthesis tool. The purpose of this paper is to delineate this method using our published integrative review as an exemplar. Although the purpose of online survey software is to obtain and analyze survey responses, these software programs allows for the efficient extraction and synthesize of disparate study features from primary sources. Importantly, use of the method has the potential to increase the rigor and efficiency of published reviews bringing the promise of advancing multiple areas of health science.",

keywords = "data extraction, evidence-based practice, integrative review, knowledge synthesis, systematic review",

author = "{Dunn Lopez}, Karen and Gephart, {Sheila M.} and Hershberger, {Patricia E.}",

note = "Funding Information: We thank our PhD students for their ubiquitous curiosity and questions about analytic methods that inspired us to write this paper. We also thank Mark Mershon for his assistance with the figures and Mary Richardson for editing support. Dr. Gephart was supported by the Robert Wood Johnson Foundation Nurse Faculty Scholars Program (72114), the Agency for Healthcare Research and Quality (K08HS022908), and the Pacific SW Region of the National Network of Libraries of Medicine, NIH under cooperative agreement number UG4LM012341. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Robert Wood Johnson Foundation, the Agency for Healthcare Research, and Quality or the National Institutes of Health. The author(s) received no financial support for the research, authorship, and/or publication of this article. Funding Information: We thank our PhD students for their ubiquitous curiosity and questions about analytic methods that inspired us to write this paper. We also thank Mark Mershon for his assistance with the figures and Mary Richardson for editing support. Dr. Gephart was supported by the Robert Wood Johnson Foundation Nurse Faculty Scholars Program (72114), the Agency for Healthcare Research and Quality (K08HS022908), and the Pacific SW Region of the National Network of Libraries of Medicine, NIH under cooperative agreement number UG4LM012341. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Robert Wood Johnson Foundation, the Agency for Healthcare Research, and Quality or the National Institutes of Health. Publisher Copyright: {\textcopyright} The Author(s) 2020.",

year = "2020",

month = oct,

day = "1",

doi = "10.1177/0193945920904442",

language = "English (US)",

volume = "42",

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journal = "Western Journal of Nursing Research",

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AU - Dunn Lopez, Karen

AU - Gephart, Sheila M.

AU - Hershberger, Patricia E.

N1 - Funding Information: We thank our PhD students for their ubiquitous curiosity and questions about analytic methods that inspired us to write this paper. We also thank Mark Mershon for his assistance with the figures and Mary Richardson for editing support. Dr. Gephart was supported by the Robert Wood Johnson Foundation Nurse Faculty Scholars Program (72114), the Agency for Healthcare Research and Quality (K08HS022908), and the Pacific SW Region of the National Network of Libraries of Medicine, NIH under cooperative agreement number UG4LM012341. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Robert Wood Johnson Foundation, the Agency for Healthcare Research, and Quality or the National Institutes of Health. The author(s) received no financial support for the research, authorship, and/or publication of this article. Funding Information: We thank our PhD students for their ubiquitous curiosity and questions about analytic methods that inspired us to write this paper. We also thank Mark Mershon for his assistance with the figures and Mary Richardson for editing support. Dr. Gephart was supported by the Robert Wood Johnson Foundation Nurse Faculty Scholars Program (72114), the Agency for Healthcare Research and Quality (K08HS022908), and the Pacific SW Region of the National Network of Libraries of Medicine, NIH under cooperative agreement number UG4LM012341. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Robert Wood Johnson Foundation, the Agency for Healthcare Research, and Quality or the National Institutes of Health. Publisher Copyright: © The Author(s) 2020.

PY - 2020/10/1

Y1 - 2020/10/1

N2 - With the explosion of scientific literature, information technologies, and the rise of evidence-based health care, methodologies for literature reviews continue to advance. Yet there remains a lack of clarity about techniques to rigorously and efficiently extract and synthesize data from primary sources. We developed a new method for data extraction and synthesis for completing rigorous, knowledge synthesis using freely available online survey software that results in a review-specific, online data extraction, and synthesis tool. The purpose of this paper is to delineate this method using our published integrative review as an exemplar. Although the purpose of online survey software is to obtain and analyze survey responses, these software programs allows for the efficient extraction and synthesize of disparate study features from primary sources. Importantly, use of the method has the potential to increase the rigor and efficiency of published reviews bringing the promise of advancing multiple areas of health science.

AB - With the explosion of scientific literature, information technologies, and the rise of evidence-based health care, methodologies for literature reviews continue to advance. Yet there remains a lack of clarity about techniques to rigorously and efficiently extract and synthesize data from primary sources. We developed a new method for data extraction and synthesis for completing rigorous, knowledge synthesis using freely available online survey software that results in a review-specific, online data extraction, and synthesis tool. The purpose of this paper is to delineate this method using our published integrative review as an exemplar. Although the purpose of online survey software is to obtain and analyze survey responses, these software programs allows for the efficient extraction and synthesize of disparate study features from primary sources. Importantly, use of the method has the potential to increase the rigor and efficiency of published reviews bringing the promise of advancing multiple areas of health science.

KW - data extraction

KW - evidence-based practice

KW - integrative review

KW - knowledge synthesis

KW - systematic review

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JO - Western Journal of Nursing Research

JF - Western Journal of Nursing Research

IS - 10

ER -

Using Online Survey Software to Enhance Rigor and Efficiency of Knowledge Synthesis Reviews

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