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Record W2982486755 · doi:10.1186/s12913-019-4573-4

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

2019· article· en· W2982486755 on OpenAlexaffabout
Maria Zych, Whitney Berta, Anna R. Gagliardi

Bibliographic record

VenueBMC Health Services Research · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsToronto General HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsNursing researchGeneral partnershipKnowledge translationQualitative researchThematic analysisDocumentationPsychological interventionHealth administrationEnthusiasmMedicineNursingKnowledge managementMedical educationPublic relationsPsychologyPolitical sciencePublic healthSociologyComputer scienceSocial psychology

Abstract

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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 6 months to 2 years for 75.0% of participants in pre-existing partnerships, to 6 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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativemedium
models splitAgreement compares identical category sets and study designs across arms.

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)0.098
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0980.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.923
GPT teacher head0.780
Teacher spread0.143 · 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

Labeled directly by 2 models reading the full record.

Metaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

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

Citations27
Published2019
Admission routes2
Has abstractyes

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