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Record W2153825273 · doi:10.2147/jmdh.s93103

Implementing best practice in hospital multidisciplinary nutritional care: an example of using the knowledge-to-action process for a research program

2015· article· en· W2153825273 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Multidisciplinary Healthcare · 2015
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsResearch Institute for AgingUniversity of Waterloo
FundersGovernment of CanadaCentrum för Medicinsk Teknik och Fysik
KeywordsMultidisciplinary approachProcess (computing)Action (physics)Computer scienceMedicineMedical educationData scienceManagement scienceEngineeringSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Prospective use of knowledge translation and implementation science frameworks can increase the likelihood of meaningful improvements in health care practices. An example of this creation and application of knowledge is the series of studies conducted by and with the Canadian Malnutrition Task Force (CMTF). Following a cohort study and synthesis of evidence regarding best practice for identification, treatment, and prevention of malnutrition in hospitals, CMTF created an evidence-informed, consensus-based pathway for nutritional care in hospitals. The purpose of this paper is to detail the steps taken in this research program, through four studies, as an example of the knowledge-to-action (KTA) process. THE KTA PROCESS: The KTA process includes knowledge creation and action cycles. The steps of the action cycle within this program of research are iterative, and up to this point have been informed by three studies, with a fourth underway. The first study identified the magnitude of the malnutrition problem upon admission to hospital and how it is undetected and undertreated (study 1). Knowledge creation resulted in an evidence-based pathway established to address care gaps (study 2) and the development of monitoring tools (study 3). The study was then adapted to local context: focus groups validated face validate the evidence-based pathway; during the final phase, study site implementation teams will continue to adapt the pathway (studies 2 and 4). Barriers to implementation were also assessed; focus groups and interviews were conducted to inform the pathway implementation (studies 1, 2, and 4). In the next step, specific interventions were selected, tailored, and implemented. In the final study in this research program, plan-do-study-act cycles will be used to make changes and to implement the pathway (study 4). To monitor knowledge use and to evaluate outcomes, audits, staff surveys, patient outcomes, etc will be used to record process evaluations (studies 3 and 4). Finally, a sustainability plan will be incorporated into the final study of the program (study 4) to sustain knowledge use. DISCUSSION: Use of frameworks can increase the likelihood of meaningful and sustainable improvements in health care practice. The example of this program of research demonstrates how existing evidence has been used to identify, create, and adapt knowledge, and how multidisciplinary teams have been used to effect changes in the hospital setting. CONCLUSION: Effective implementation is essential in nutritional health care, and this multidisciplinary program of research provides an example of how the KTA process can facilitate implementation and promote sustainability.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.407
GPT teacher head0.587
Teacher spread0.180 · 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