Literature DB >> 22295370

Developing tools to predict outcomes following cardiovascular surgery.

Maggi Boult1, Kate Fitzpatrick, Mary Barnes, Guy Maddern, Robert Fitridge.   

Abstract

BACKGROUND: Surgical decision-making tools may help surgeons achieve better outcomes by providing more personally relevant information to patients. This paper describes approaches to developing statistical tools capable of estimating the probability of morbidity and mortality after cardiovascular surgery. Our aim is to inform surgeons about the important stages that contribute to the development of decision tools.
METHODS: The key elements described include study design (data quality, cohort size, etc.) and statistical methodology for developing and testing decision tools. Mention is made of the delivery of decision tools, simplicity of use, ease of interpretation of results and accessibility. Information specific to cardiac and vascular surgery is included.
RESULTS: Development of useful and effective decision tools is dependent on robust and reliable data, unambiguous outcome requirements and considerable statistical expertise. Decision tools must also be extensively tested for validity and reliability, both internally and with external data.
CONCLUSION: Understanding the development and assumptions that underlie surgical decision tool development will help cardiovascular surgeons appreciate the value of applying such techniques at a clinical level.

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Year:  2011        PMID: 22295370     DOI: 10.1111/j.1445-2197.2010.05644.x

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  1 in total

1.  Using cognitive pre-testing methods in the development of a new evidenced-based pressure ulcer risk assessment instrument.

Authors:  S Coleman; J Nixon; J Keen; D Muir; L Wilson; E McGinnis; N Stubbs; C Dealey; E A Nelson
Journal:  BMC Med Res Methodol       Date:  2016-11-16       Impact factor: 4.615

  1 in total

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