2010
DOI: 10.1016/j.resuscitation.2010.07.007
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Thirty-day mortality in critical care outreach patients with cancer: An investigative study of predictive factors related to outreach referral episodes

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Cited by 12 publications
(10 citation statements)
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“…Statistical Package for Social Sciences (SPSS+) 17 and 19 were used for all quantitative data analysis. Data were investigated (as described in results) using chi‐squared, non‐parametric and T‐test analyses (multivariate analysis is presented in Pattison et al (2010) in relation to physiological variable and 30‐day mortality). Data sets were split into patients and episodes (because outcome data for survival cannot be counted more than once); the subset of patient data is referred to as subset or patient data in description of the results.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Statistical Package for Social Sciences (SPSS+) 17 and 19 were used for all quantitative data analysis. Data were investigated (as described in results) using chi‐squared, non‐parametric and T‐test analyses (multivariate analysis is presented in Pattison et al (2010) in relation to physiological variable and 30‐day mortality). Data sets were split into patients and episodes (because outcome data for survival cannot be counted more than once); the subset of patient data is referred to as subset or patient data in description of the results.…”
Section: Methodsmentioning
confidence: 99%
“…Quantitative analysis was undertaken for prospective and retrospective data of a cohort of 407 outreach episodes referred to the CCOT over the course of 8 months. Predictive factors associated with 30‐day mortality were established and are presented in a separate article (Pattison et al , 2010). This article presents quantitative data around referral factors alongside qualitative interview data, exploring experiences of referrals with staff referring to outreach.…”
Section: Introductionmentioning
confidence: 99%
“…Despite its traditional technological and curative focus, critical care is increasingly responding to the health policy mandate for high quality end of life. This is evidenced by a growing corpus of work that explores the end of life for critically ill patients, from admission to discharge (Jones et al , ; Pattison et al , ). A key theme to emerge from this literature is the need to develop robust management plans directed at decision‐making and communication processes for patients transitioning from curative intervention to end of life care (Nelson et al , ) and that recognize that patient and family choice as central to informing care decisions (Truog et al , ).…”
Section: Introductionmentioning
confidence: 99%
“…Despite its traditional technological and curative focus, critical care is increasingly responding to the health policy mandate for high quality end of life. This is evidenced by a growing corpus of work that explores the end of life for critically ill patients, from admission to discharge (Jones et al, 2007;Pattison et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Ward staff recognizing the deteriorating patient have to act, but so too do the teams which attend the at‐risk patient. Thus far, problems related to failure‐to‐rescue have been associated with delays in recognizing the at‐risk patient or in calling the teams (Pattison et al , 2010; Taenzer et al , 2011), but there must also be some discussion about the actions and efficacy of RRT and CCO teams.…”
mentioning
confidence: 99%