Literature DB >> 17464487

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

J Poelaert1, G Schuepfer, A Umnus, M Bauer, A Schleppers.   

Abstract

INTRODUCTION: The German health care system is currently in a constant state of flux owing to enhanced competition and to the increasing focus on economic aspects. Medical services, especially treatment processes, are being reorganised in an attempt to adapt them to the new economic challenges. Ideally, radical reorganisation and streamlining of medical therapy processes should be accompanied by controlling and quality management systems. The purpose of this is to monitor the intensity of any economic and any patient-related (side)-effects. Business management techniques are needed that allow online and long-term performance reviews of reorganisation measures once initiated.
METHODS: In industry, the method applied for this purpose is statistical process control (SPC). The present study demonstrates for the first time that use of this monitoring tool can be extended to the medical sector. In an intensive care unit (ICU) the following process parameters were monitored: duration of sedation, time to persisting spontaneous breathing, length of stay in ICU, length of stay in hospital, patient mortality in ICU and in the next 30 days after admission to the ICU. Group 1 was made up of 87 patients examined before and group 2, 93 patients after process optimisation. The main feature of the reorganisation was application of a new analgo-sedation technique and of the weaning concept.
RESULTS: In group 2 duration of sedation, time to spontaneous breathing and length of stay on the ICU were significantly shorter than in group 1. The length of stay in hospital, patient mortality in the ICU and 30 days after the initiation of intensive care did not differ significantly between the two groups.
CONCLUSION: Economic and patient-related key figures can be evaluated with SPC. It allows online assessment both before and during process optimisation, and especially in the long term afterprocess optimisation.

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Year:  2007        PMID: 17464487     DOI: 10.1007/s00101-007-1186-9

Source DB:  PubMed          Journal:  Anaesthesist        ISSN: 0003-2417            Impact factor:   1.041


  8 in total

1.  Statistical process control methods allow the analysis and improvement of anesthesia care.

Authors:  Sigurd Fasting; Sven E Gisvold
Journal:  Can J Anaesth       Date:  2003-10       Impact factor: 5.063

2.  Use and interpretation of statistical quality control charts.

Authors:  J C Benneyan
Journal:  Int J Qual Health Care       Date:  1998-02       Impact factor: 2.038

3.  Statistical process control as a tool for monitoring nonoperative time.

Authors:  Andreas Seim; Bjørn Andersen; Warren S Sandberg
Journal:  Anesthesiology       Date:  2006-08       Impact factor: 7.892

4.  Results of a collaborative quality improvement program on outcomes and costs in a tertiary critical care unit.

Authors:  T P Clemmer; V J Spuhler; T A Oniki; S D Horn
Journal:  Crit Care Med       Date:  1999-09       Impact factor: 7.598

5.  Health technology assessment: problems and challenges.

Authors:  H L Abrams; S Hessel
Journal:  AJR Am J Roentgenol       Date:  1987-12       Impact factor: 3.959

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

Authors:  P O Bonetti; A Waeckerlin; G Schuepfer; A Frutiger
Journal:  Int J Qual Health Care       Date:  2000-08       Impact factor: 2.038

7.  Detection of fluid volume absorption by end-tidal alcohol monitoring in patients undergoing endoscopic renal pelvic surgery.

Authors:  C Konrad; H Gerber; G Schupfer; S Jenzer; O Schmucki
Journal:  J Clin Anesth       Date:  1999-08       Impact factor: 9.452

8.  Defining quality of perioperative care by statistical process control of adverse outcomes.

Authors:  R S Lagasse; E S Steinberg; R I Katz; A J Saubermann
Journal:  Anesthesiology       Date:  1995-05       Impact factor: 7.892

  8 in total
  2 in total

1.  [The Göttingen manual for OR managers].

Authors:  M Bauer; J Hinz; A Klockgether-Radke
Journal:  Anaesthesist       Date:  2010-01       Impact factor: 1.041

2.  [Implementation of new standards in anaesthesia. Exemplified by the ad hoc introduction of desflurane in 10 German hospitals].

Authors:  L H J Eberhart; H Gerlach; R Knaber; T Koch; A M Morin; F Röhr; S Wagner; H Wulf; M Zoremba
Journal:  Anaesthesist       Date:  2010-11-11       Impact factor: 1.041

  2 in total

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