What does this research mean for the field?

Integrating multiple implementation theories, models, and frameworks into a structured coding frame enables a comprehensive and systematic analysis of the complex, multi-level context and processes in implementation science. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop a tailored coding frame integrating established implementation theories, models, and frameworks to analyze qualitative contextual data from a healthcare implementation project.

September 10, 2026Implementation Science CommunicationsOpen Access

Development of a coding frame for context analysis in implementation: insights from Sumamos Excelencia project

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Authors

LBLeticia Bernués-Caudillo ADAmanda Drury EGEsther Gonzalez-María

Discussion

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Overview

Methodological study establishes a comprehensive context coding frame in healthcare units, highlighting structured approaches to evaluate implementation barriers and facilitators.

Key Points

To develop a tailored coding frame integrating established implementation theories, models, and frameworks to analyze qualitative contextual data from a healthcare implementation project.
Applied Schreier’s qualitative content analysis methodology, moving through phases of selecting, structuring, generating, revising, and expanding to meet criteria for unidimensionality, mutual exclusiveness, exhaustiveness, and saturation.
Integrated four established frameworks: Consolidated Framework for Implementation Research (CFIR), Tailored Implementation for Chronic Diseases (TICD), Expert Recommendations for Implementing Change (ERIC), and Exploration, Preparation, Implementation, Sustainment (EPIS).
Analyzed qualitative data collected from Spanish healthcare units participating in the multifaceted Sumamos Excelencia implementation initiative.
Generated a comprehensive coding frame structured into 4 main levels, 11 sublevels, 16 categories, and 82 specific contextual factors.
Mapped contextual factors across individual participants, internal unit characteristics, external healthcare environments, and global project implementation strategies across temporal phases.
Demonstrated that combining complementary theoretical frameworks captures the multi-level complexity of healthcare implementation contexts better than single models alone.

Cite This Study

Bernués-Caudillo et al. (2026) studied this question.

synapsesocial.com/papers/6aa27c0f58559d80afc75ac5 https://doi.org/10.1186/s43058-026-01076-w

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September 10, 2026Implementation Science CommunicationsOpen Access

Development of a coding frame for context analysis in implementation: insights from Sumamos Excelencia project

View Full Paper

Ask AI

Bookmark

Authors

LBLeticia Bernués-Caudillo ADAmanda Drury EGEsther Gonzalez-María

Discussion

Member takes

Overview

Methodological study establishes a comprehensive context coding frame in healthcare units, highlighting structured approaches to evaluate implementation barriers and facilitators.

Key Points

To develop a tailored coding frame integrating established implementation theories, models, and frameworks to analyze qualitative contextual data from a healthcare implementation project.
Applied Schreier’s qualitative content analysis methodology, moving through phases of selecting, structuring, generating, revising, and expanding to meet criteria for unidimensionality, mutual exclusiveness, exhaustiveness, and saturation.
Integrated four established frameworks: Consolidated Framework for Implementation Research (CFIR), Tailored Implementation for Chronic Diseases (TICD), Expert Recommendations for Implementing Change (ERIC), and Exploration, Preparation, Implementation, Sustainment (EPIS).
Analyzed qualitative data collected from Spanish healthcare units participating in the multifaceted Sumamos Excelencia implementation initiative.
Generated a comprehensive coding frame structured into 4 main levels, 11 sublevels, 16 categories, and 82 specific contextual factors.
Mapped contextual factors across individual participants, internal unit characteristics, external healthcare environments, and global project implementation strategies across temporal phases.
Demonstrated that combining complementary theoretical frameworks captures the multi-level complexity of healthcare implementation contexts better than single models alone.

Cite This Study

Bernués-Caudillo et al. (2026) studied this question.

synapsesocial.com/papers/6aa27c0f58559d80afc75ac5 https://doi.org/10.1186/s43058-026-01076-w

View Full Paper

Ask AI

Bookmark