Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Perfusion
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Baker, R.
Right arrow Articles by Newland, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Baker, R.
Right arrow Articles by Newland, R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

research-article

Continous quality improvement of perfusion practice: the role of electronic data collection and statistical control charts

RA Baker

Cardiac Surgery Research and Perfusion, Cardiac and Thoracic Surgical Unit, Flinders Medical Centre and Flinders University, Bedford Park, Adelaide, South Australia, Australia Rob.Baker{at}flinders.edu.au

RF Newland

Cardiac Surgery Research and Perfusion, Cardiac and Thoracic Surgical Unit, Flinders Medical Centre and Flinders University, Bedford Park, Adelaide, South Australia, Australia

In-hospital data collection may be used to improve the selection, operative techniques, and process of care for cardiac surgical patients. The aim of this report is to demonstrate the influence of the automated generation of quality indicators (QI) for cardiopulmonary bypass (CPB) and the implementation of a continuous quality improvement (CQI) programme on the CPB process of care. Adult patients undergoing CPB were divided into three consecutive groups: Group 1 (n=363); no QI data feedback, Group 2 (n = 253); automated QI data feedback alone, and Group 3 (n = 363) data feedback and implementation of CQI. There were no significant differences in demographic, procedural or clinical outcomes for each group. Significant improvement, as determined by adherence to practice protocols and reduction in practice variation, was observed for cardiac index < 1.6 L/min/m2 (min), mean arterial pressure < 40 mmHg (min), venous saturation < 60% (min), arterial blood temperature of > 37.50C (min), minimum pCO2 (mmHg), maximum pCO2 (mmHg), and minimum pO2 (mmHg). There was no change in the minimum haemoglobin (g/dl) on bypass. Automated generation of QI resulted in improved adherence to process of care guidelines, highlighting the potential of electronic data collection. This technique is optimised in a CQI programme, utilising statistical control charts for data interpretation.

Key Words: electronic data management • extracorporeal support • quality control • quality indicator

Perfusion, Vol. 23, No. 1, 7-16 (2008)
DOI: 10.1177/0267659108093853


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?