Literature DB >> 20196712

Risk-adjusted continuous outcome monitoring with an EWMA chart: could it have detected excess mortality among intensive care patients at Bundaberg Base Hospital?

David V Pilcher1, Toni Hoffman, Chris Thomas, David Ernest, Graeme K Hart.   

Abstract

OBJECTIVE: To test whether applying a continuous riskadjusted charting method, using an exponentially weighted moving average (EWMA) chart, would have been useful for monitoring outcomes of patients admitted to the intensive care unit at Bundaberg Base Hospital, Queensland, between November 2000 and December 2005. DESIGN, SETTING AND PARTICIPANTS: An EWMA chart was constructed to show the change in observed compared with predicted mortality over time, using data submitted to the Australian and New Zealand Intensive Care Society Adult Patient Database. Limitations and practical implications of this monitoring technique were evaluated and compared with a routine monitoring technique using the annual standardised mortality ratio. MAIN OUTCOME MEASURE: In-hospital mortality.
RESULTS: Data were submitted on three occasions (August 2002, November 2002 and February 2006). In each year before 2005, the EWMA chart showed periods when observed mortality appeared higher than predicted. These periods were not detectable by analysing the data with an annual standardised mortality ratio. Comparison of aggregated data from peer group hospitals suggested that the mortality prediction model (APACHE III-j) was an appropriate risk adjustment model for this analysis.
CONCLUSIONS: Continuous monitoring of outcomes using an EWMA chart may have advantages over other techniques. Had data been available, analysis with an EWMA chart might have prompted review of processes and outcomes among patients at Bundaberg Base Hospital ICU.

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Year:  2010        PMID: 20196712

Source DB:  PubMed          Journal:  Crit Care Resusc        ISSN: 1441-2772            Impact factor:   2.159


  4 in total

Review 1.  The Role of Oliguria and the Absence of Fluid Administration and Balance Information in Illness Severity Scores.

Authors:  Neil J Glassford; Rinaldo Bellomo
Journal:  Korean J Crit Care Med       Date:  2017-05-31

2.  Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures.

Authors:  Hideki Endo; Shigehiko Uchino; Satoru Hashimoto; Yoshitaka Aoki; Eiji Hashiba; Junji Hatakeyama; Katsura Hayakawa; Nao Ichihara; Hiromasa Irie; Tatsuya Kawasaki; Junji Kumasawa; Hiroshi Kurosawa; Tomoyuki Nakamura; Hiroyuki Ohbe; Hiroshi Okamoto; Hidenobu Shigemitsu; Takashi Tagami; Shunsuke Takaki; Kohei Takimoto; Masatoshi Uchida; Hiroaki Miyata
Journal:  J Intensive Care       Date:  2021-02-15

3.  Statistical process control of mortality series in the Australian and New Zealand Intensive Care Society (ANZICS) adult patient database: implications of the data generating process.

Authors:  John L Moran; Patricia J Solomon
Journal:  BMC Med Res Methodol       Date:  2013-05-24       Impact factor: 4.615

4.  Application of Variable Life Adjusted Displays (VLAD) on Victorian Admitted Episodes Dataset (VAED).

Authors:  Nick Andrianopoulos; Damien Jolley; Sue M Evans; Caroline A Brand; Peter A Cameron
Journal:  BMC Health Serv Res       Date:  2012-08-28       Impact factor: 2.655

  4 in total

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