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Record W2412484887 · doi:10.1177/095148480001300202

The Behavioural Outcomes of Quality Improvement Teams: The Role of Team Success and Team Identification

2000· article· en· W2412484887 on OpenAlexaff
D. Irvine, Peggy Leatt, Martin Evans, G. Ross Baker

Bibliographic record

VenueHealth Services Management Research · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdentification (biology)Quality (philosophy)Quality managementTeam effectivenessPsychologyRapid response teamProcess managementMedicineBusinessKnowledge managementMarketingComputer scienceMedical emergency

Abstract

fetched live from OpenAlex

This study investigates the relationship between hospital quality improvement (QI) team success and changes in empowerment, 'organizational commitment, organizational citizenship behaviour' (OCB) and job behaviour related to QI. Data were collected from administrative staff, healthcare professionals and support staff from four community hospitals. The study involved a field investigation with two data collection points. Structured questionnaires and interviews with hospital management were used to collect data on the study variables. High scores were observed for organizational commitment, OCB and job behaviour related to QI when individuals identified with teams that were successful. Low scores were observed when individuals identified with teams that were unsuccessful. Empowerment was positively related to job behaviour associated with QI. It is concluded that participation on QI teams can lead to organizational learning, resulting in the inculcation of positive 'extra-role' and 'in-role' job behaviour.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.361
Teacher spread0.333 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2000
Admission routes1
Has abstractyes

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