Narrative reanalysis: A methodological framework for a new brand of reviews

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Steven Hall, Erin Leeder
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引用次数: 0

Abstract

In response to the evolving needs of knowledge synthesis, this manuscript introduces the concept of narrative reanalysis, a method that refines data from initial reviews, such as systematic and reviews, to focus on specific sub-phenomena. Unlike traditional narrative reviews, which lack the methodological rigor of systematic reviews and are broader in scope, our methodological framework for narrative reanalysis applies a structured, systematic framework to the interpretation of existing data. This approach enables a focused investigation of nuanced topics within a broader dataset, enhancing understanding and generating new insights. We detail a five-stage methodological framework that guides the narrative reanalysis process: (1) retrieval of an initial review, (2) identification and justification of a sub-phenomenon, (3) expanded search, selection, and extraction of data, (4) reanalyzing the sub-phenomenon, and (5) writing the report. The proposed framework aims to standardize narrative reanalysis, advocating for its use in academic and research settings to foster more rigorous and insightful literature reviews. This approach bridges the methodological gap between narrative and systematic reviews, offering a valuable tool for researchers to explore detailed aspects of broader topics without the extensive resources required for systematic reviews.

Abstract Image

叙事再分析:新品牌评论的方法框架。
为了满足不断发展的知识综合需求,本手稿引入了叙事再分析的概念,这是一种对系统性综述和综述等初始综述的数据进行提炼的方法,重点关注特定的子现象。传统的叙事性综述缺乏系统性综述的方法论严谨性,而且范围较广,与之不同的是,我们的叙事性再分析方法框架采用了结构化、系统化的框架来解释现有数据。这种方法能够在更广泛的数据集中对细微的主题进行重点调查,从而加深理解并产生新的见解。我们详细介绍了指导叙事再分析过程的五阶段方法框架:(1)检索初步综述,(2)识别和论证子现象,(3)扩展搜索、选择和提取数据,(4)重新分析子现象,以及(5)撰写报告。建议的框架旨在规范叙事性再分析,倡导在学术和研究环境中使用这种方法,以促进更严谨、更有洞察力的文献综述。这种方法弥补了叙事性综述与系统性综述之间在方法论上的差距,为研究人员提供了一种宝贵的工具,使他们能够在不需要系统性综述所需的大量资源的情况下,探索更广泛主题的细节方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
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