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Practice Guideline Dissemination and Implementation Strategies for Healthcare Teams and Team-Based Practice: a systematic review

2009· review· en· W4248407993 on OpenAlexaff
Jennifer Medves, Christina Godfrey, Carly Turner, Margo Paterson, Margaret Harrison, Lindsay MacKenzie, Paola Durando

Bibliographic record

VenueThe JBI Database of Systematic Reviews and Implementation Reports · 2009
Typereview
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsQueen's University
Fundersnot available
KeywordsGuidelineAuditSystematic reviewHealth careBest practiceEvidence-based practiceMedicineMedical educationInclusion (mineral)Knowledge managementProcess managementMEDLINENursingPsychologyAlternative medicineComputer scienceBusinessPolitical science

Abstract

fetched live from OpenAlex

Objectives The objective of this systematic review is to describe and identify the effectiveness of different practice guideline implementation strategies on team-based practice and/or patient outcomes. Methods A systematic review was conducted, using a comprehensive, reproducible search strategy that revealed 88 studies that met the inclusion criteria. Results A descriptive analysis revealed multiple approaches using teams of health care providers with 72.7% of the studies reporting statistically significant results in knowledge, practice and/or outcomes. Of 10 dissemination strategies the most effective were reminders, and audit and feedback. The most popular strategy was education meetings. A secondary analysis revealed different populations with chronic or complex disorders where a team approach was effective in practice guideline dissemination and implementation. Conclusions Many of the studies provided caveats to explain how or why the strategies did or did not demonstrate improvements. Overall, authors described complex health care requiring increasingly complex approaches to ensure evidence based guidelines were utilised in practice, including using multiple dissemination and implementation strategies. The review has provided evidence that a multi-pronged approach to dissemination and implementation of practice guidelines will assist in gaining significant improvements in change in knowledge, practice and patient outcomes.

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 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)0.033
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.156
GPT teacher head0.578
Teacher spread0.422 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2009
Admission routes1
Has abstractyes

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