Systematic review and Knowledge Translation: A framework for synthesizing heterogeneous research evidence

被引:2
|
作者
Gould, Robert [1 ]
Harris, Sarah Parker [1 ]
Fujiura, Glenn [1 ]
机构
[1] Univ Illinois, Dept Disabil & Human Dev, Chicago, IL USA
来源
WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION | 2017年 / 57卷 / 04期
关键词
Knowledge Translation; ADA; research methods; meta-synthesis; meta-ethnography; QUALITATIVE RESEARCH; POLICY;
D O I
10.3233/WOR-172577
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BACKGROUND: Participatory methodologies in disability and rehabilitation research are used to capture the perspectives of people with disabilities and to recognize the agency of stakeholder groups. Existing resources for conducting systematic reviews seldom provide details about how to integrate stakeholder input into the methodological process. OBJECTIVES: This article considers how knowledge translation strategies can support and advance systematic reviews that include diverse types of research. METHODS: Lessons learned from conducting a systematic review of Americans with Disabilities Act (ADA) employment research are explained and contextualized within research on barriers and facilitators to successful knowledge translation. RESULTS: Steps from the research protocol are described to provide a procedural framework for integrating stakeholder feedback into the review process. Descriptive mapping, an analytical technique most commonly used in scoping reviews, was deemed necessary to provide a clearer understanding and overview of the diverse body of research evidence. CONCLUSIONS: Stakeholder feedback can address barriers to knowledge translation by engaging end-users of research products throughout the reviewprocess. Given the growing scholarly recognition of qualitative and mixed-methods techniques as suitable approaches for systematic review, there is further need for consideration on how these approaches can benefit from more participatory research processes.
引用
收藏
页码:485 / 499
页数:15
相关论文
共 50 条
  • [1] Review Typology: The Basic Types of Reviews for Synthesizing Evidence for the Purpose of Knowledge Translation
    Samnani, Sunil Sadruddin
    Vaska, Marcus
    Ahmed, Salim
    Turin, Tanvir C.
    JCPSP-JOURNAL OF THE COLLEGE OF PHYSICIANS AND SURGEONS PAKISTAN, 2017, 27 (10): : 635 - 641
  • [2] Systematic review of the use of process evaluations in knowledge translation research
    Shannon D. Scott
    Thomas Rotter
    Rachel Flynn
    Hannah M. Brooks
    Tabatha Plesuk
    Katherine H. Bannar-Martin
    Thane Chambers
    Lisa Hartling
    Systematic Reviews, 8
  • [3] Systematic review of the use of process evaluations in knowledge translation research
    Scott, Shannon D.
    Rotter, Thomas
    Flynn, Rachel
    Brooks, Hannah M.
    Plesuk, Tabatha
    Bannar-Martin, Katherine H.
    Chambers, Thane
    Hartling, Lisa
    SYSTEMATIC REVIEWS, 2019, 8 (01)
  • [4] Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda
    Tandon, Anushree
    Dhir, Amandeep
    Islam, A. K. M. Najmul
    Mantymaki, Matti
    COMPUTERS IN INDUSTRY, 2020, 122
  • [5] Knowledge Translation Summarizing and Synthesizing the Evidence for WOC Best Practices
    Kelechi, Teresa J.
    Naccarato, Mary K.
    JOURNAL OF WOUND OSTOMY AND CONTINENCE NURSING, 2010, 37 (02) : 132 - 136
  • [6] A protocol for a systematic review of the use of process evaluations in knowledge translation research
    Scott S.D.
    Rotter T.
    Hartling L.
    Chambers T.
    Bannar-Martin K.H.
    Systematic Reviews, 3 (1)
  • [7] Knowledge translation approaches and practices in Indigenous health research: A systematic review
    Ninomiya, Melody E. Morton
    Maddox, Raglan
    Brascoupe, Simon
    Robinson, Nicole
    Atkinson, Donna
    Firestone, Michelle
    Ziegler, Carolyn
    Smylie, Janet
    SOCIAL SCIENCE & MEDICINE, 2022, 301
  • [8] The systematic review of literature: Synthesizing evidence for practice
    Rew, Lynn
    JOURNAL FOR SPECIALISTS IN PEDIATRIC NURSING, 2011, 16 (01) : 64 - 69
  • [9] Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
    Yogesh Kumar
    Apeksha Koul
    Ruchi Singla
    Muhammad Fazal Ijaz
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 8459 - 8486
  • [10] Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
    Kumar, Yogesh
    Koul, Apeksha
    Singla, Ruchi
    Ijaz, Muhammad Fazal
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2022, 14 (7) : 8459 - 8486