Literature DB >> 10985269

Improving time-sensitive processes in the intensive care unit: the example of 'door-to-needle time' in acute myocardial infarction.

P O Bonetti1, A Waeckerlin, G Schuepfer, A Frutiger.   

Abstract

OBJECTIVE: To assess and reduce delays in coronary thrombolysis in patients with acute myocardial infarction.
DESIGN: Prospective, descriptive study using statistical process control.
SETTING: Interdisciplinary intensive care unit of a 300-bed community hospital.
SUBJECTS: Thirty-seven consecutive patients with acute myocardial infarction who were receiving thrombolytic therapy.
INTERVENTIONS: To perform an interdisciplinary formal process analysis aimed at detecting delay-causing factors, review of existing house rules, generation and implementation of new practice guidelines. MAIN OUTCOME MEASURES: Comparison of 'door-to-needle times' of patients admitted before, during and after formal process analysis and implementation of new guidelines.
RESULTS: Mean 'door-to-needle time' fell significantly from 57 minutes (+/-25.4) in 16 patients studied before, to 32 minutes (+/-9.0) in 16 patients studied after the formal process analysis and the implementation of new guidelines (P < 0.002). An even more pronounced but transient decrease to 24 minutes (+/-3.8) was observed in five patients studied during the phase of formal process analysis (P < 0.004). Delay-causing factors were identified in the areas 'communication', 'people' and 'methods/rules/guidelines'. Equipment failure was never responsible for delays.
CONCLUSIONS: Formal process analysis, followed by implementation of revised guidelines resulted in a significant reduction of 'door-to-needle time'. An initial dramatic but transient reduction of 'door-to-needle time' was considered observational and must not be mistaken as the definite new level of performance. We conclude that formal process analysis techniques are suited to improve processes in the intensive care unit.

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Year:  2000        PMID: 10985269     DOI: 10.1093/intqhc/12.4.311

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  6 in total

Review 1.  Application of statistical process control in healthcare improvement: systematic review.

Authors:  Johan Thor; Jonas Lundberg; Jakob Ask; Jesper Olsson; Cheryl Carli; Karin Pukk Härenstam; Mats Brommels
Journal:  Qual Saf Health Care       Date:  2007-10

Review 2.  A review of interventions and system changes to improve time to reperfusion for ST-segment elevation myocardial infarction.

Authors:  Kelly A McDermott; Christian D Helfrich; Anne E Sales; John S Rumsfeld; P Michael Ho; Stephan D Fihn
Journal:  J Gen Intern Med       Date:  2008-05-06       Impact factor: 5.128

3.  [Statistical process control as a monitoring tool for the evaluation of reorganisation measures. Investigation in an intensive care unit].

Authors:  J Poelaert; G Schuepfer; A Umnus; M Bauer; A Schleppers
Journal:  Anaesthesist       Date:  2007-06       Impact factor: 1.041

Review 4.  The Contribution of Variable Control Charts to Quality Improvement in Healthcare: A Literature Review.

Authors:  Line Slyngstad
Journal:  J Healthc Leadersh       Date:  2021-09-10

5.  A Continuous Quality Improvement Intervention to Improve Antenatal HIV Care Testing in Rural South Africa: Evaluation of Implementation in a Real-World Setting.

Authors:  H Manisha Yapa; Wendy Dhlomo-Mphatswe; Mosa Moshabela; Jan-Walter De Neve; Carina Herbst; Awachana Jiamsakul; Kathy Petoumenos; Frank A Post; Deenan Pillay; Till Bärnighausen; Sally Wyke
Journal:  Int J Health Policy Manag       Date:  2022-05-01

6.  The impact of continuous quality improvement on coverage of antenatal HIV care tests in rural South Africa: Results of a stepped-wedge cluster-randomised controlled implementation trial.

Authors:  H Manisha Yapa; Jan-Walter De Neve; Terusha Chetty; Carina Herbst; Frank A Post; Awachana Jiamsakul; Pascal Geldsetzer; Guy Harling; Wendy Dhlomo-Mphatswe; Mosa Moshabela; Philippa Matthews; Osondu Ogbuoji; Frank Tanser; Dickman Gareta; Kobus Herbst; Deenan Pillay; Sally Wyke; Till Bärnighausen
Journal:  PLoS Med       Date:  2020-10-07       Impact factor: 11.069

  6 in total

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