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Initiation is recognized as a fundamental early phase of integrated knowledge translation (IKT): qualitative interviews with researchers and research users in IKT partnerships

2019· other· en· W6940005289 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipKnowledge translationThematic analysisQualitative researchPsychological interventionData collectionPeriod (music)Empirical research

Abstract

fetched live from OpenAlex

Abstract Background Health care researcher-research user partnerships, referred to as integrated knowledge translation (IKT), have been adopted on an international basis, and are an effective means of co-generating and implementing evidence into policy and practice. Prior research suggests that an initiation period is essential for establishing functional partnerships. To characterize IKT initiation and describe determinants of IKT initiation success, this study explored IKT initiation processes, enablers, and barriers among researchers and research users involved in IKT partnerships. Methods A descriptive qualitative approach was used compliant with COREQ standards. Canadian researchers and research users in research collaborations were identified on publicly-available directories and web sites, and referred by those interviewed. They were asked to describe how partnerships were initiated, influencing factors, the length of initiation, and interventions needed to support initiation. Sampling was concurrent with data collection and analysis to achieve thematic saturation. Data were analyzed using constant comparative technique by all members of the research team. Results In total, 22 individuals from 6 provinces were interviewed (9 researchers, 11 research users, 2 connectors). They confirmed that IKT initiation is a distinct early phase of partnerships. The period ranged from 6â months to 2â years for 75.0% of participants in pre-existing partnerships, to 6â years for newly-formed partnerships. High-level themes were: Newly identifying and securing partners is an intensive process; Processes and activities take place over a protracted period through multiple interactions; Identifying and engaging committed partners is reliant on funding; and Partnership building is challenged by maintaining continuity and enthusiasm. Participants underscored the need for an IKT partner matching forum, IKT initiation toolkit, and funding for non-research activities required during IKT initiation to establish functional researcher-research user partnerships. Themes were largely similar regardless of participant years of experience with IKT or being involved in a new versus pre-existing partnership. Conclusions IKT initiation is a recognized and important early phase of IKT that establishes functional partnerships, and once established, ongoing partnership for subsequent projects is likely. Further research is needed to develop and evaluate approaches recommended by participants for stimulating IKT initiation.

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 imitation

Not 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.

metaresearch head score (Codex)0.099
metaresearch head score (Gemma)0.080
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.525

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0990.080
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0160.025
Scholarly communication0.0090.010
Open science0.0030.013
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.546
GPT teacher head0.465
Teacher spread0.081 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainMethods
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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