Understanding the implementation of evidence-informed policies and practices from a policy perspective: a critical interpretive synthesis
Bibliographic record
Abstract
BACKGROUND: The fields of implementation science and knowledge translation have evolved somewhat independently from the field of policy implementation research, despite calls for better integration. As a result, implementation theory and empirical work do not often reflect the implementation experience from a policy lens nor benefit from the scholarship in all three fields. This means policymakers, researchers, and practitioners may find it challenging to draw from theory that adequately reflects their implementation efforts. METHODS: We developed an integrated theoretical framework of the implementation process from a policy perspective by combining findings from these fields using the critical interpretive synthesis method. We began with the compass question: How is policy currently described in implementation theory and processes and what aspects of policy are important for implementation success? We then searched 12 databases as well as gray literature and supplemented these documents with other sources to fill conceptual gaps. Using a grounded and interpretive approach to analysis, we built the framework constructs, drawing largely from the theoretical literature and then tested and refined the framework using empirical literature. RESULTS: A total of 11,434 documents were retrieved and assessed for eligibility and 35 additional documents were identified through other sources. Eighty-six unique documents were ultimately included in the analysis. Our findings indicate that policy is described as (1) the context, (2) a focusing lens, (3) the innovation itself, (4) a lever of influence, (5) an enabler/facilitator or barrier, or (6) an outcome. Policy actors were also identified as important participants or leaders of implementation. Our analysis led to the development of a two-part conceptual framework, including process and determinant components. CONCLUSIONS: This framework begins to bridge the divide between disciplines and provides a new perspective about implementation processes at the systems level. It offers researchers, policymakers, and implementers a new way of thinking about implementation that better integrates policy considerations and can be used for planning or evaluating implementation efforts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.301 | 0.350 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.035 | 0.022 |
| Science and technology studies | 0.010 | 0.032 |
| Scholarly communication | 0.033 | 0.032 |
| Open science | 0.007 | 0.012 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".