Literature DB >> 9157723

[Definition and evaluation of a documentation standard for intensive care medicine: the ASDI(Working Group for Standardization of a documentation system for Intensive care medicine) pilot project].

P G Metnitz1, H Steltzer, C Popow, A Valentin, J Neumark, G Sagmüller, F Schwameis, M Urschitz, F Mühlbacher, M Hiesmayr, K Lenz.   

Abstract

OBJECTIVES: A comparison of data from different intensive care units (ICUs) needs standardized documentation. In this study the ASDI documentation standard for intensive care was tested in clinical practice. Goal of the study was to evaluate parameters and functionality required for a national, interdisciplinary documentation system for intensive care.
DESIGN: 13 ICUs participated in a 4-week trial using the provided program for documentation of all admitted patients during the observation period. In addition, a questionnaire was distributed to the unit coordinators.
RESULTS: 376 patients were documented in 1591 patient days. Valid SAPS II scores were found in only 29% of the discharged patients (39.1 +/- 15.5 points). Time needed for data entry exceeded preset limits (ten minutes per patient and day) in 38% of the cases. All participants affirmed the necessity of a documentation standard for intensive care, giving quality control and cost analysis as the most important reasons.
CONCLUSION: The ASDI data set fitted existing needs very closely. Only 7 out of 122 parameters (5.7%) were found to be superfluous and thus removed. Measures to reduce documentation effort to the default limits were a) a new, date orientated concept for manual recording, b) rede-sign of the user interface with new, user friendly data entry possibilities, and c) the integration of statistical analysis and reports in the documentation system. The revised data set represents a broad-based consensus, which seems to be well-suited as foundation for the national quality assurance program.

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Year:  1997        PMID: 9157723

Source DB:  PubMed          Journal:  Wien Klin Wochenschr        ISSN: 0043-5325            Impact factor:   1.704


  13 in total

1.  Development of demographics and outcome of very old critically ill patients admitted to intensive care units.

Authors:  Gerald C Ihra; Judith Lehberger; Helene Hochrieser; Peter Bauer; Rene Schmutz; Barbara Metnitz; Philipp G H Metnitz
Journal:  Intensive Care Med       Date:  2012-02-22       Impact factor: 17.440

2.  Impact of body mass on incidence and prognosis of acute kidney injury requiring renal replacement therapy.

Authors:  Wilfred Druml; Barbara Metnitz; Eva Schaden; Peter Bauer; Philipp G H Metnitz
Journal:  Intensive Care Med       Date:  2010-03-16       Impact factor: 17.440

3.  Critically ill patients readmitted to intensive care units--lessons to learn?

Authors:  Philipp G H Metnitz; Fabienne Fieux; Barbara Jordan; Thomas Lang; Rui Moreno; Jean-Roger Le Gall
Journal:  Intensive Care Med       Date:  2002-12-18       Impact factor: 17.440

4.  Incidence and prognosis of dysnatremias present on ICU admission.

Authors:  Georg-Christian Funk; Gregor Lindner; Wilfred Druml; Barbara Metnitz; Christoph Schwarz; Peter Bauer; Philipp G H Metnitz
Journal:  Intensive Care Med       Date:  2009-10-22       Impact factor: 17.440

5.  Patient volume affects outcome in critically ill patients.

Authors:  Barbara Metnitz; Philipp G H Metnitz; Peter Bauer; Andreas Valentin
Journal:  Wien Klin Wochenschr       Date:  2009       Impact factor: 1.704

6.  Monitoring of intracranial pressure in patients with severe traumatic brain injury: an Austrian prospective multicenter study.

Authors:  Walter Mauritz; Heinz Steltzer; Peter Bauer; Lorenz Dolanski-Aghamanoukjan; Philipp Metnitz
Journal:  Intensive Care Med       Date:  2008-03-26       Impact factor: 17.440

7.  Austrian validation and customization of the SAPS 3 Admission Score.

Authors:  Barbara Metnitz; Eva Schaden; Rui Moreno; Jean-Roger Le Gall; Peter Bauer; Philipp G H Metnitz
Journal:  Intensive Care Med       Date:  2008-10-10       Impact factor: 17.440

8.  More interventions do not necessarily improve outcome in critically ill patients.

Authors:  Philipp G H Metnitz; Ana Reiter; Barbara Jordan; Thomas Lang
Journal:  Intensive Care Med       Date:  2004-02-26       Impact factor: 17.440

9.  Carboxyhemoglobin levels in medical intensive care patients: a retrospective, observational study.

Authors:  Andreas S Fazekas; Marlene Wewalka; Christian Zauner; Georg-Christian Funk
Journal:  Crit Care       Date:  2012-01-11       Impact factor: 9.097

10.  Effect of intensive care after cardiac arrest on patient outcome: a database analysis.

Authors:  Andreas Schober; Michael Holzer; Helene Hochrieser; Martin Posch; Rene Schmutz; Philipp Metnitz
Journal:  Crit Care       Date:  2014-04-29       Impact factor: 9.097

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