Conceptual and relational advances of the PARIHS and i-PARIHS frameworks over the last decade: a critical interpretive synthesis
Bibliographic record
Abstract
BACKGROUND: The number of research publications reporting the use of the Promoting Action on Research Implementation in Health Services (PARIHS) framework and the integrated PARIHS (i-PARIHS) framework has grown steadily. We asked how the last decade of implementation research, predicated on the (i-)PARIHS framework (referring to the PARIHS or i-PARIHS framework), has contributed to our understanding of the conceptualizations of, relationships between, and dynamics among the core framework elements/sub-elements. Building on the Helfrich et al. (2010) review of research on the PARIHS framework, we undertook a critical interpretive synthesis to: (1) identify conceptual and relational advances in the (i-)PARIHS framework and (2) identify conceptual and relational aspects of the (i-)PARIHS framework that warrant further work. METHODS: We performed a systematic search in PubMed/PubMed Central, Ovid MEDLINE, CINAHL, JSTOR, SCOPUS, Web of Science, and PsycInfo. Articles were eligible for synthesis if they (a) were peer-reviewed articles, written in English, and published between January 2009 and December 2021, (b) applied the (i-)PARIHS framework explicitly to guide implementation research, and (c) made conceptual (expanding the conceptualization of core elements) and/or relational contributions (elaborating relationships among elements/sub-elements, or theorizing the relationships using empirical data). We used a critical interpretive synthesis approach to synthesize conceptual-relational advances of the (i-)PARIHS framework. RESULTS: Thirty-seven articles were eligible for synthesis. Twenty-four offered conceptual contributions, and 18 offered relational contributions (5 articles contributed in both ways). We found conceptual expansion of all core (i-)PARIHS elements, with most emphasis on context (particularly outer context and leadership), facilitation, and implementation success. Articles also gave insights into the complex relationships and relational dynamism among these elements, characterized as contingent, interactive, multilevel, and temporal effects. CONCLUSIONS: We observed developmental advances of the (i-)PARIHS framework and proposed several directions to further advance the framework. Conceptualization of (i-)PARIHS elements (particularly evidence/innovation and recipients) need to be further developed by specifying conceptual and operational definitions of underlying sub-elements. Relationships among (i-)PARIHS elements/sub-elements need to be further elaborated through empirical studies that consider situational contingencies and causal complexities. This will require examining necessity and sufficiency of (i-)PARIHS elements/sub-elements in relation to implementation outcomes, interactions among elements, and mechanism-based explanations.
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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 | 0.338 | 0.390 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.046 | 0.038 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.018 | 0.037 |
| Open science | 0.007 | 0.015 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".