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Record W3202771485 · doi:10.1007/s40037-021-00686-5

Theory in quality improvement and patient safety education: A scoping review

2021· article· en· W3202771485 on OpenAlexaff
Joanne Goldman, Andrea Smeraglio, Lisha Lo, Ayelet Kuper, Brian M. Wong

Bibliographic record

VenuePerspectives on Medical Education · 2021
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreThe Wilson CentreUniversity of Toronto
Fundersnot available
KeywordsMedical educationQuality (philosophy)Quality managementMedicinePsychologyComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

INTRODUCTION: Theory plays an important role in education programming and research. However, its use in quality improvement and patient safety education has yet to be fully characterized. The authors undertook a scoping review to examine the use of theory in quality improvement and patient safety education. METHODS: Eligible articles used theory to inform the design or study of a quality improvement or patient safety curriculum. The authors followed scoping review methodology and searched articles referenced in 20 systematic reviews of quality improvement and patient safety education, or articles citing one of these reviews, and hand searched eligible article references. Data analysis involved descriptive and interpretive summaries of theories used and the perspectives the theories offered. RESULTS: Eligibility criteria were met by 28 articles, and 102 articles made superficial mention of theory. Eligible articles varied in professional group, learning stage and journal type. Theories fell into two broad categories: learning theories (n = 20) and social science theories (n = 11). Theory was used in the design (n = 12) or study (n = 17) of quality improvement and patient safety education. The range of theories shows the opportunity afforded by using more than one type of theory. DISCUSSION: Theory can guide decisions regarding quality improvement and patient safety education practices or play a role in selecting a methodology or lens through which to study educational processes and outcomes. Educators and researchers should make deliberate choices around the use of theory that relates to aspects of an educational program that they seek to illuminate.

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)0.002
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.061
GPT teacher head0.505
Teacher spread0.444 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
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

Citations15
Published2021
Admission routes1
Has abstractyes

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