| Literature DB >> 25885055 |
Joanna C Moullin1, Daniel Sabater-Hernández2,3, Fernando Fernandez-Llimos4, Shalom I Benrimoj5.
Abstract
BACKGROUND: Implementation science and knowledge translation have developed across multiple disciplines with the common aim of bringing innovations to practice. Numerous implementation frameworks, models, and theories have been developed to target a diverse array of innovations. As such, it is plausible that not all frameworks include the full range of concepts now thought to be involved in implementation. Users face the decision of selecting a single or combining multiple implementation frameworks. To aid this decision, the aim of this review was to assess the comprehensiveness of existing frameworks.Entities:
Mesh:
Year: 2015 PMID: 25885055 PMCID: PMC4364490 DOI: 10.1186/s12961-015-0005-z
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Figure 1PRISMA flow chart of framework selection [ 38 ].
Framework types
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| Interventions (n = 22) | 16 (73%) | 1 (5%) | 14 (64%) | 7 (32%) |
| Guidelines (n = 4) | 3 (75%) | – | – | 1 (25%) |
| Knowledge (n = 15) | 4 (27%) | 7 (47%) | 8 (53%) | – |
| Evidence-based practice model (n = 5) | 1 (20%) | 3 (60%) | 1 (20%) | 1 (20%) |
| Implementation programs (n = 3) | 3 (100%) | 2 (67%) | 1 (33%) | – |
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Percentages were calculated using the total number of frameworks at each innovation group in the denominator. Percentages are not accumulative because each framework could be fit into multiple ‘type’ categories.
Framework stage analysis by innovation groups
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| Interventions (n = 22) | 3 (14%) | 6 (27%) | 9 (41%) | 13 (59%) | 19 (86%) | 17 (77%) |
| Guidelines (n = 4) | 1 (25%) | 3 (75%) | 1 (25%) | 1 (25%) | 4 (100%) | 2 (50%) |
| Knowledge (n = 15) | 6 (40%) | 8 (53%) | 8 (53%) | 9 (60%) | 15 (100%) | 7 (47%) |
| Evidence-based practice model (n = 5) | 1 (20%) | 0 (0%) | 2 (40%) | 5 (100%) | 5 (100%) | 2 (40%) |
| Implementation programs (n = 3) | 1 (33%) | 1 (33%) | 2 (67%) | 3 (100%) | 3 (100%) | 3 (100%) |
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Percentages calculated as the number of frameworks (which included a stage or domain) divided by the number of frameworks in each innovation group.
Framework domain analysis by innovation groups
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| Interventions (n = 22) | 15 (68%) | 15 (68%) | 21 (95%) | 14 (64%) | 12 (55%) |
| Guidelines (n = 4) | 4 (100%) | 3 (75%) | 2 (50%) | 2 (50%) | 2 (50%) |
| Knowledge (n = 15) | 12 (80%) | 11 (73%) | 13 (87%) | 7 (47%) | 5 (33%) |
| Evidence-based practice model (n = 5) | 2 (40%) | 5 (100%) | 4 (80%) | 1 (20%) | 1 (20%) |
| Implementation programs (n = 3) | 3 (100%) | 3 (100%) | 3 (100%) | 3 (100%) | 2 (67%) |
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Percentages calculated as the number of frameworks (which included a stage or domain) divided by the number of frameworks in each innovation group.
Framework element analysis (degree and depth)
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| +++ | 3 | 3 | 3 | |
| ++ | 28 | 30 | 15 | ||
| + | 17 | 16 | 18 | ||
| nil | 1 | – | 13 | ||
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| ^^^ | 10 | 14 | 7 | |
| ^^ | 19 | 22 | 13 | ||
| ^ | 19 | 13 | 16 | ||
| nil | 1 | – | 13 | ||
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| +++ | ^^^ | 1 | 2 | 2 |
| ++ | ^^^ | 8 | 10 | 3 | |
| + | ^^^ | 1 | 2 | 2 | |
| +++ | ^^ | 2 | 1 | 1 | |
| ++ | ^^ | 14 | 18 | 8 | |
| + | ^^ | 3 | 3 | 4 | |
| +++ | ^ | – | – | – | |
| ++ | ^ | 6 | 2 | 4 | |
| + | ^ | 13 | 11 | 12 | |
| nil | 1 | – | 13 | ||
+ Degree and substantiation of inclusion; ^ Depth of analysis.
Figure 2Generic Implementation Framework (GIF).