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Record W1659136013 · doi:10.1002/14651858.cd000072

Interventions to promote collaboration between nurses and doctors

2000· review· en· W1659136013 on OpenAlexaff
Merrick Zwarenstein, Wendy Bryant

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2000
Typereview
Languageen
Field
Topic
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychological interventionMEDLINEFamily medicineSystematic reviewRandomized controlled trialIntervention (counseling)Meta-analysisNursingInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Lack of nurse-doctor collaboration contributes to problems in quality and efficiency of patient care. OBJECTIVES: To assess the effects of interventions designed to improve nurse-doctor collaboration. SEARCH STRATEGY: We searched the Cochrane Effective Practice and Organisation of Care Group specialised register and database of studies awaiting assessment, the Cochrane Database of Systematic Reviews, the Cochrane Controlled Trials Register, the Database of Abstracts of Reviews of Effectiveness, MEDLINE, and reference lists of articles up to the end of October 1999. SELECTION CRITERIA: Randomised trials, controlled before-and-after studies and interrupted time series of interventions to improve collaboration between nursing and medical professionals sharing patient care in primary or hospital care settings. DATA COLLECTION AND ANALYSIS: One reviewer assessed the eligibility of potentially relevant studies, extracted data and assessed the quality of included studies; a second reviewer undertook duplicate assessments on the eligibility of some articles and data abstraction on all included studies. MAIN RESULTS: Two trials involving 1945 people were included. One six month trial involving 1102 admissions evaluated daily, structured, team ward rounds, in which nurses, doctors and other professionals made care decisions jointly. There was shortened average length of hospital stay (LOS) from 6.06 to 5.46 days, and reduced hospital charges from US$ 8090 to 6681. There were no differences in mortality rates or the type of care to which patients were discharged. Another three month trial involving 843 admissions compared two female wards and evaluated a four times per week round. There were no significant differences between the intervention and control wards in total average length of stay for all patients (11.7 days in intervention ward versus 11.6 in the control ward). Excluding patients who died in hospital revealed shortened length of stay in the intervention ward (intervention ward 10.5 days, control ward 11.9). Mortality rates were not significantly different. REVIEWER'S CONCLUSIONS: Increasing collaboration improved outcomes of importance to patients and to health care managers. These gains were moderate and affected health care processes rather than outcomes. Further research is needed to confirm these findings. The logistic challenge presented by the complexity of the interventions and the need for large sample sizes due to the likely modest impact and rarity of outcome events may best be met by multi-centre studies. Before launching such studies qualitative research is needed to identify barriers to collaboration. Interventions other than nurse-doctor ward rounds and team meetings should also be tested.

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)0.020
metaresearch head score (Gemma)0.095
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.095
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0150.001

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 head0.165
GPT teacher head0.451
Teacher spread0.285 · 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 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

Citations192
Published2000
Admission routes1
Has abstractyes

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