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Record W4318966687 · doi:10.1097/qmh.0000000000000374

Dedicated Research Seed Funding to Support High-Priority Clinician-Led Research: A Survey of Clinician-Researchers

2022· article· en· W4318966687 on OpenAlex
Sara Morassaei, Levina B. Kahumba, Brian Liszewski, Lisa Di Prospero

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

VenueQuality Management in Health Care · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsHealth Sciences CentreQueen's UniversityUniversity of TorontoSunnybrook Health Science CentreMinistry of Health and Long Term Care
Fundersnot available
KeywordsHealth careHealth professionalsMedical educationSurvey researchPsychologyPublic relationsMedicineNursingPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Developing research capacity and supporting research engagement among health professionals are essential parts of bridging the evidence-to-practice gap. The objective of this study was to describe and assess the impact of research seed funding in promoting the engagement of nursing and allied health professionals in leading practice-based research studies within a health care organization. METHODS: An impact assessment survey was administered to health professional grant recipients (n = 30) to collect self-reported observations of changes related to clinical practice, patient care, and organizational priorities as a result of the funded research projects. The electronic survey was developed in collaboration with an interprofessional advisory committee and contained 23 closed- and open-ended questions. Survey data were analyzed descriptively, and responses to open-ended survey questions were used to characterize the funded research activities and the perceived successes and challenges experienced by the research teams. RESULTS: A large proportion of health professional grant recipients reported observing impact from their research studies on clinical practice, organizational priorities, and external networks. The grant funds were used to carry out knowledge dissemination activities such as conference presentations, publications, and sharing findings at professional meetings and networks. The majority of grant expenditures were used for research personnel, and the most common challenge to conducting research was related to the need for protected research time. Most grant recipients were interested in participating in another grant-funded research project in the future. CONCLUSION: Organizational funding and support for research led by health professionals have potential impact on clinical practice, patient care, and organizational priorities. This study provides evidence to support the value of investing in continued and expanded research funding programs for health professionals.

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)0.319
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3190.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.013
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0000.006
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 head0.844
GPT teacher head0.724
Teacher spread0.120 · 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