Evidence map›Paper›PMID 31406729›Full record

ArticleInternational journal of nursing sciences2017

A healthcare quality management system underpinning the 3-E model and its application in a new tertiary hospital in Australia.

Qun Catherine Li, Greg Sweetman

Abstract read
In one paragraph

Article in International journal of nursing sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

2 authors.

Qun Catherine LiFiona Stanley Hospital, Western Australia, Australia.
Greg SweetmanFiona Stanley Hospital, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEngaging, enhancing and embedding clinical audit improvement activities into everyday practice to develop capacity, capability and culture in continuous improvement.

methodThrough the implementation of an electronic quality management system called Governance, Evidence, Knowledge and Outcome (GEKO), the key aspects of governance, evidence knowledge and outcomes were able to be applied to quality initiatives. Implementation of the GEKO system incorporated the principles of total quality control and management to include strategic management control and marketing in parallel with leadership strategies.The vision was to motivate staff to enable ownership of the quality cycle of continuous improvement of patient care to incorporate underlying systems and processes that impact on patient care.

resultsA continuous improvement pathway was successfully established 4 months post hospital commissioning. Over 890 (approximately 16% workforce) multidisciplinary and multi-professional staff received training and support for QIs in 12 months; over 535 quality proposals were received on GEKO. Submissions by profession: nursing and midwifery 46% (246), medical 33% (177), allied health 9% (48), pharmacy 5% (27), and non-clinical staff 7% (37). Average new submissions per month were 42. Reviews demonstrated the application of a rapid cycle approach to develop, test, modify and refine improvements and enhanced clinical care.

conclusionAppropriate governance structure, processes, extensive education and training together with collaborative relationships are the keys to embed clinical audit improvement into everyday practice. The availability of a quality management system like GEKO is very useful to make QI accessible to all staff.

Indexed as

AuditCultureEngagementQuality improvement

Identifiers

PMID31406729
PMCPMC6626117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.