2020
DOI: 10.1002/jrsm.1462
|View full text |Cite
|
Sign up to set email alerts
|

A “Rapid Best‐Fit” model for framework synthesis: Using research objectives to structure analysis within a rapid review of qualitative evidence

Abstract: The short time frame associated with rapid reviews can be challenging for researchers conducting qualitative evidence synthesis. In these circumstances a Best‐Fit Framework Synthesis, drawing upon existing theory and/or research, may be conducted to rapidly make sense of qualitative evidence. This article discusses a “Rapid Best‐Fit” approach to conducting Framework Synthesis within an 6‐week rapid systematic review of qualitative evidence. In the absence of a suitable theoretical model to inform the synthesis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(10 citation statements)
references
References 33 publications
0
7
0
Order By: Relevance
“…After reviewing the automated clusters, researchers should manually create and code any supplemental categories as needed. This is similar to a best‐fit framework synthesis 33,34 used in qualitative evidence syntheses, in which authors categorize data into a pre‐existing framework. Any data that are left outside of the framework are then thematically analyzed to create new framework areas.…”
Section: Discussionmentioning
confidence: 97%
“…After reviewing the automated clusters, researchers should manually create and code any supplemental categories as needed. This is similar to a best‐fit framework synthesis 33,34 used in qualitative evidence syntheses, in which authors categorize data into a pre‐existing framework. Any data that are left outside of the framework are then thematically analyzed to create new framework areas.…”
Section: Discussionmentioning
confidence: 97%
“…In the observational study, transcriptions were reviewed using a rapid qualitative analysis approach. 9 Demographic information was summarized using descriptive statistics. Associations between categorical variables were examined by chi-squared or Fisher's exact tests and computations were carried out in SAS 9.3 (SAS Institute Inc., Cary, NC, USA).…”
Section: Discussionmentioning
confidence: 99%
“…After obtaining informed consent and assent, 12 (nine of which were diagnosed with standard risk B-ALL) study participants were recruited in Houston, Texas from the MD Anderson Cancer Center Children's Cancer Hospital in accordance with approval from the Institutional Review Board of the University of Texas MD Anderson Cancer Center (2010-0654). Eligibility criteria included children being school aged (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17), pediatric cancer patients who were currently undergoing treatment, and ability to read and speak English. Each participant attended in-person sessions wherein they tasted five low-fat prepared foods and five low-sucrose prepared foods prepared by the Bionutrition Research Core at MD Anderson Cancer Center using recipes from the At The Table online cookbook.…”
Section: Observational Study Of Diet Receptivitymentioning
confidence: 99%
“…The rapid best-fit framework synthesis is an adapted framework synthesis approach to accommodate reviews under time constraints. 8 The traditional framework synthesis approach draws on existing relevant models or theories to guide data extraction and analysis. 9 The rapid best-fit approach allows using the review objectives as guiding principles to develop an initial framework to categorize and interpret the findings from the included studies.…”
Section: Discussionmentioning
confidence: 99%
“…9 The rapid best-fit approach allows using the review objectives as guiding principles to develop an initial framework to categorize and interpret the findings from the included studies. 8 We developed our initial framework based on 3 sensitizing categories drawn from our research question:…”
Section: Discussionmentioning
confidence: 99%