Literature DB >> 20092082

Implementing change in perfusion practice: quality improvement vs. experimentation?

Richard F Newland1, Robert A Baker.   

Abstract

The desire to optimize techniques and interventions that comprise clinical practice will inevitably involve the implementation of change in the process of care. To confirm the intended benefits of instituting clinical change, the process should be undertaken in a scientific manner. Although implementing changes in perfusion practice is limited by the availability of evidence based practice guidelines, we have the opportunity to audit our current practice according to institutional guidelines using quality improvement methods. Current electronic data collection technology is a useful tool available to facilitate the reporting of both clinical and process outcome improvements. The model of clinical effectiveness can be used as a systematic approach to introducing change in clinical practice, which involves reviewing the literature, acquiring appropriate skills and resources, auditing the change, and implementing continuous quality improvement to standardize the process. Finally, reporting the findings allows dissemination of the knowledge that can be generalized. Reporting change strengthens our efforts in clinical effectiveness, highlights the importance of perfusion practice, and increases the influence of the profession.

Mesh:

Year:  2009        PMID: 20092082      PMCID: PMC4813528     

Source DB:  PubMed          Journal:  J Extra Corpor Technol        ISSN: 0022-1058


  10 in total

1.  Organizational process: a missing link between research and practice.

Authors:  R A Rosenheck
Journal:  Psychiatr Serv       Date:  2001-12       Impact factor: 3.084

2.  Medscape's response to the Institute of Medicine Report: Crossing the quality chasm: a new health system for the 21st century.

Authors:  M Leavitt
Journal:  MedGenMed       Date:  2001-03-05

3.  Are perfusion technology and perfusionists ready for quality reporting employing six-sigma performance measurement?

Authors:  Jeffrey B Riley
Journal:  J Extra Corpor Technol       Date:  2003-09

4.  The Society of Thoracic Surgeons: 30-day operative mortality and morbidity risk models.

Authors:  A Laurie W Shroyer; Laura P Coombs; Eric D Peterson; Mary C Eiken; Elizabeth R DeLong; Anita Chen; T Bruce Ferguson; Frederick L Grover; Fred H Edwards
Journal:  Ann Thorac Surg       Date:  2003-06       Impact factor: 4.330

Review 5.  Implementing change for effective outcomes.

Authors:  Lynne S Nemeth
Journal:  Outcomes Manag       Date:  2003 Jul-Sep

6.  Improved outcomes during cardiac surgery: a multifactorial enhancement of cardiopulmonary bypass techniques.

Authors:  Cody C Trowbridge; Alfred H Stammers; G Craig Wood; James D Murdock; Myra Klayman; Bianca R Yen; Edward Woods; Christian Gilbert
Journal:  J Extra Corpor Technol       Date:  2005-06

7.  Electronic data processing: the pathway to automated quality control of cardiopulmonary bypass.

Authors:  R F Newland; R A Baker; R Stanley
Journal:  J Extra Corpor Technol       Date:  2006-06

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

Authors:  R A Baker; R F Newland
Journal:  Perfusion       Date:  2008-01       Impact factor: 1.972

9.  Evidence based medicine: what it is and what it isn't.

Authors:  D L Sackett; W M Rosenberg; J A Gray; R B Haynes; W S Richardson
Journal:  BMJ       Date:  1996-01-13

Review 10.  Optimal perfusion during cardiopulmonary bypass: an evidence-based approach.

Authors:  Glenn S Murphy; Eugene A Hessel; Robert C Groom
Journal:  Anesth Analg       Date:  2009-05       Impact factor: 5.108

  10 in total

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