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2012 HSR&D/QUERI National Conference Abstract

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2012 National Meeting

2030 — Coding Qualitative Data Using the Consolidated Framework for Implementation Research (CFIR)

Forman JDamschroder L, and Lowery J, Ann Arbor VAMC/Diabetes QUERI;

Workshop Objectives:
This workshop will present the Consolidated Framework for Implementation Research (CFIR), which provides a taxonomy of contextual domains that influence implementation of interventions. The specific focus of this workshop will be: 1) to provide attendees with an overview of the CFIR and familiarity with CFIR domains; 2) to introduce and provide hands-on experience in using CFIR constructs to analyze qualitative data collected during an implementation study, including qualitative coding and quantitizing qualitative data; and 3) to provide a forum for discussion of CFIR constructs and the use of CFIR in studies that use qualitative methods to understand implementation context and processes.

Activities:
This 90-minute workshop will consist of: a) a 20-minute didactic component on the CFIR’s development, constructs, and use in implementation studies; b) a 10-minute didactic component on coding of qualitative data; c) a 30-minute hands-on small group exercise on using CFIR constructs to code interview transcripts of interviews with several respondents from a facility implementing a tele-health intervention, and to quantitatively rate the strength and valence of each construct on implementation; and d) a 30-minute large-group discussion of the definitional issues that arose in coding and rating CFIR constructs, including summarizing ratings at the facility level.

Target Audience:
This workshop is aimed primarily at researchers with interest in conducting studies to improve implementation of healthcare delivery interventions. The workshop may also be of interest to clinicians and operations leadership interested in understanding use of qualitative data and in furthering their knowledge of implementation science.

Assumed Audience Familiarity with Topic:
Some prior knowledge of qualitative data analysis is desired.


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