Noyes Jane, Booth Andrew, Moore Graham, Flemming Kate, Tunçalp Özge, Shakibazadeh Elham
School of Social Sciences, Bangor University, Wales, UK.
School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
BMJ Glob Health. 2019 Jan 25;4(Suppl 1):e000893. doi: 10.1136/bmjgh-2018-000893. eCollection 2019.
Guideline developers are increasingly dealing with more difficult decisions concerning whether to recommend complex interventions in complex and highly variable health systems. There is greater recognition that both quantitative and qualitative evidence can be combined in a mixed-method synthesis and that this can be helpful in understanding how complexity impacts on interventions in specific contexts. This paper aims to clarify the different purposes, review designs, questions, synthesis methods and opportunities to combine quantitative and qualitative evidence to explore the complexity of complex interventions and health systems. Three case studies of guidelines developed by WHO, which incorporated quantitative and qualitative evidence, are used to illustrate possible uses of mixed-method reviews and evidence. Additional examples of methods that can be used or may have potential for use in a guideline process are outlined. Consideration is given to the opportunities for potential integration of quantitative and qualitative evidence at different stages of the review and guideline process. Encouragement is given to guideline commissioners and developers and review authors to consider including quantitative and qualitative evidence. Recommendations are made concerning the future development of methods to better address questions in systematic reviews and guidelines that adopt a complexity perspective.
指南制定者在决定是否推荐在复杂且高度多变的卫生系统中采用复杂干预措施时,面临着越来越困难的决策。人们越来越认识到,定量和定性证据可以在混合方法综合分析中结合起来,这有助于理解复杂性如何在特定背景下影响干预措施。本文旨在阐明不同的目的、综述设计、问题、综合方法以及结合定量和定性证据以探索复杂干预措施和卫生系统复杂性的机会。世卫组织制定的纳入了定量和定性证据的三项指南案例研究,用于说明混合方法综述和证据的可能用途。概述了可用于或可能有潜力用于指南制定过程的其他方法示例。考虑了在综述和指南制定过程的不同阶段整合定量和定性证据的机会。鼓励指南委托方和制定者以及综述作者考虑纳入定量和定性证据。针对未来方法的发展提出了建议,以便更好地解决采用复杂性视角的系统综述和指南中的问题。