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Record W2887195773 · doi:10.1186/s13012-018-0800-3

Longitudinal evaluation of a course to build core competencies in implementation practice

2018· article· en· W2887195773 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueImplementation Science · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsHealth services researchContext (archaeology)Medical educationMedicineProgram evaluationKnowledge translationEducational measurementPsychologyApplied psychologyNursingPublic healthCurriculumKnowledge managementComputer sciencePedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Few training opportunities are available for implementation practitioners; we designed the Practicing Knowledge Translation (PKT) to address this gap. The goal of PKT is to train practitioners to use evidence and apply implementation science in healthcare settings. The aim of this study was to describe PKT and evaluate participant use of implementation science theories, models, and frameworks (TMFs), knowledge, self-efficacy, and satisfaction and feedback on the course. METHODS: PKT was delivered to implementation practitioners between September 2015 and February 2016 through a 3-day workshop, 11 webinars. We assessed PKT using an uncontrolled before and after study design, using convergent parallel mixed methods. The primary outcome was use of TMFs in implementation projects. Secondary outcomes were knowledge and self-efficacy across six core competencies, factors related to each of the outcomes, and satisfaction with the course. Participants completed online surveys and semi-structured interviews at baseline, 3, 6, and 12 months. RESULTS: Participants (n = 15) reported an increase in their use of implementation TMFs (mean = 2.11; estimate = 2.11; standard error (SE) = 0.4; p = 0.03). There was a significant increase in participants' knowledge of developing an evidence-informed, theory-driven program (ETP) (estimate = 4.10; SE = 0.37; p = 0.002); evidence implementation (estimate = 2.68; SE = 0.42; p < 0.001); evaluation (estimate = 4.43; SE = 0.36; p < 0.001); sustainability, scale, and spread (estimate = 2.55; SE = 0.34; p < 0.001); and context assessment (estimate = 3.86; SE = 0.32; p < 0.001). There was a significant increase in participants' self-efficacy in developing an ETP (estimate = 3.81; SE = 0.34; p < 0.001); implementation (estimate = 3.01; SE = 0.36; p < 0.001); evaluation (estimate = 3.83; SE = 0.39; p = 0.002); sustainability, scale, and spread (estimate = 3.06; SE = 0.46; p = 0.003); and context assessment (estimate = 4.05; SE = 0.38; p = 0.016). CONCLUSION: Process and outcome measures collected indicated that PKT participants increased use of, knowledge of, self-efficacy in KT. Our findings highlight the importance of longitudinal evaluations of training initiatives to inform how to build capacity for implementers.

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)0.028
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.831
GPT teacher head0.795
Teacher spread0.036 · 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