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Record W4361006007 · doi:10.1186/s43058-023-00405-7

A systematic review of dissemination and implementation science capacity building programs around the globe

2023· review· en· W4361006007 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueImplementation Science Communications · 2023
Typereview
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
FundersColorado Clinical and Translational Sciences InstituteNorth Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel HillNational Center for Advancing Translational SciencesNational Cancer InstituteMichael Smith Health Research BCUniversity of California, San FranciscoUniversity of California, San DiegoUniversity of TorontoNational University of SingaporeUniversity of OxfordQuality Enhancement Research InitiativeUniversity of SouthamptonSchool of Medicine, Indiana UniversityVanderbilt Institute for Clinical and Translational ResearchUniversity of WashingtonJohns Hopkins UniversityIntermountain HealthcareInstitute of Translational Health SciencesClinical and Translational Science Institute, Boston UniversityKing's College LondonVanderbilt UniversityMcMaster UniversityNorthwestern UniversityYork UniversityUniversity of Texas Health Science Center at San AntonioUniversity of PennsylvaniaBrown University
KeywordsMentorshipCapacity buildingCourseworkGlobePromotion (chess)Medical educationHealth scienceInclusion (mineral)Engineering managementComputer scienceMedicineKnowledge managementEngineeringLibrary sciencePolitical sciencePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Research centers and programs focused on dissemination and implementation science (DIS) training, mentorship, and capacity building have proliferated in recent years. There has yet to be a comprehensive inventory of DIS capacity building program (CBP) cataloging information about activities, infrastructure, and priorities as well as opportunities for shared resources, collaboration, and growth. The purpose of this systematic review is to provide the first inventory of DIS CBPs and describe their key features and offerings. METHODS: We defined DIS CBPs as organizations or groups with an explicit focus on building practical knowledge and skills to conduct DIS for health promotion. CBPs were included if they had at least one capacity building activity other than educational coursework or training alone. A multi-method strategy was used to identify DIS CBPs. Data about the characteristics of DIS CBPs were abstracted from each program's website. In addition, a survey instrument was developed and fielded to gather in-depth information about the structure, activities, and resources of each CBP. RESULTS: In total, 165 DIS CBPs met our inclusion criteria and were included in the final CBP inventory. Of these, 68% are affiliated with a United States (US) institution and 32% are internationally based. There was one CBP identified in a low- and middle-income country (LMIC). Of the US-affiliated CBPs, 55% are embedded within a Clinical and Translational Science Award program. Eighty-seven CBPs (53%) responded to a follow-up survey. Of those who completed a survey, the majority used multiple DIS capacity building activities with the most popular being Training and Education (n=69, 79%) followed by Mentorship (n=58, 67%), provision of DIS Resources and Tools (n=57, 66%), Consultation (n=58, 67%), Professional Networking (n=54, 62%), Technical Assistance (n=46, 52%), and Grant Development Support (n=45, 52%). CONCLUSIONS: To our knowledge, this is the first study to catalog DIS programs and synthesize learnings into a set of priorities and sustainment strategies to support DIS capacity building efforts. There is a need for formal certification, accessible options for learners in LMICs, opportunities for practitioners, and opportunities for mid/later stage researchers. Similarly, harmonized measures of reporting and evaluation would facilitate targeted cross-program comparison and collaboration.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.259
GPT teacher head0.588
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it