Evidence map›Paper›PMID 24779113›Full record

ArticleThe journal of extra-corporeal technology2014

Teamwork, communication, formula-one racing and the outcomes of cardiac surgery.

Alan F Merry, Jennifer Weller, Simon J Mitchell

Abstract readEditorial
In one paragraph

Article in The journal of extra-corporeal technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alan F Merry
Jennifer Weller
Simon J Mitchell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most cardiac units achieve excellent results today, but the risk of cardiac surgery is still relatively high, and avoidable harm is common. The story of the Green Lane Cardiothoracic Unit provides an exemplar of excellence, but also illustrates the challenges associated with changes over time and with increases in the size of a unit and the complexity of practice today. The ultimate aim of cardiac surgery should be the best outcomes for (often very sick) patients rather than an undue focus on the prevention of error or adverse events. Measurement is fundamental to improving quality in health care, and the framework of structure, process, and outcome is helpful in considering how best to achieve this. A combination of outcomes (including some indicators of important morbidity) with key measures of process is advocated. There is substantial evidence that failures in teamwork and communication contribute to inefficiency and avoidable harm in cardiac surgery. Minor events are as important as major ones. Six approaches to improving teamwork (and hence outcomes) in cardiac surgery are suggested. These are: 1) subspecialize and replace tribes with teams; 2) sort out the leadership while flattening the gradients of authority; 3) introduce explicit training in effective communication; 4) use checklists, briefings, and debriefings and engage in the process; 5) promote a culture of respect alongside a commitment to excellence and a focus on patients; 6) focus on the performance of the team, not on individuals.

Indexed as

CommunicationOrganizational CultureEfficiency, OrganizationalInterdepartmental RelationsModels, OrganizationalNew ZealandOrganizational ObjectivesOutcome and Process Assessment, Health CarePatient Care TeamQuality Assurance, Health CareThoracic Surgery

Identifiers

PMID24779113
PMCPMC4557515

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.