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Consolidated Framework for Implementation Research (CFIR)

Methodpeer-reviewed✓ Source-grounded

The Consolidated Framework for Implementation Research (CFIR) is a tool used to understand the factors that influence how well new healthcare practices or innovations are adopted and used in real-world settings. It helps researchers and practitioners identify what might help or hinder implementation by looking at different levels, such as individuals, organizations, and the innovation itself.

At a glance

Use when

Conducting implementation research or evaluating the rollout of new health interventions where understanding contextual influences is critical.

Avoid when

When a simple or rapid assessment tool is needed without in-depth contextual analysis.

Inputs

Qualitative or quantitative data on implementation context, including stakeholder perspectives, organizational characteristics, and intervention features.

Outputs

Structured analysis of implementation determinants, identification of barriers and facilitators, guidance for tailoring implementation strategies.

How it works

CFIR is a determinant framework designed to assess contextual factors affecting implementation success. It comprises multiple domains and constructs that span the intervention, outer and inner setting, individuals involved, and implementation process. Updated in 2022 based on extensive user feedback, the revised CFIR includes modifications to existing constructs, reorganization, and additions—particularly emphasizing equity and the perspective of innovation recipients. The framework supports systematic evaluation of implementation contexts while maintaining backward compatibility with earlier versions.

HTA domains
Organisational aspects
Assumptions
Implementation success is influenced by multilevel factors; understanding these factors improves the likelihood of successful adoption and sustainability.
Strengths
Comprehensive coverage of implementation determinants; widely used and validated across diverse settings; updated to reflect equity and user needs; allows longitudinal consistency with prior studies.
Limitations
Complexity may make application challenging for novice users; requires careful tailoring to specific contexts; not all constructs may be relevant in every implementation scenario.
Also known as
CFIR

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