Team Meeting June 12 2008: Difference between revisions

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Discussed the MOST score. MOST stand for '''M'''edical '''O'''utcome '''S'''tratification and '''T'''riage.

The MOST score is a risk stratification tool that generates a probability of an adverse outcome for a patient. The equation is derived from the Charlson Comorbid index, the Glascow Coma Score, the ADL, systolic BP, heart rate, respiratory rate, white blood cell count, the sex of the patient and their age. With these variable the equation can predict the likelihood of the patient having an adverse outcome such as death, a cardiac arrest and readmission or admission to an ICU. This equation was validated based on data collected at HSC, SBGH, the Grace and Victoria hospital on over 11,000 patients admitted to medical units in 2004/2005. There is no existing tool that can make such prediction for non ICU patients. This makes this equation and the research conducted by Dr. Roberts and Julie extremely valuable and powerful.

The MOST score is a risk stratification tool that generates a probability of an adverse outcome for a patient. The equation is derived from the Charlson Comorbid index, the Glascow Coma Score, the KATZ ADL assessement, systolic BP, heart rate, respiratory rate, white blood cell count, the sex of the patient and their age. With these variable the equation can predict the likelihood of the patient having an adverse outcome such as death, a cardiac arrest and readmission or admission to an ICU. This equation was validated based on data collected at HSC, SBGH, the Grace and Victoria hospital on over 11,000 patients admitted to medical units in 2004/2005. There is no existing tool that can make such prediction for non ICU patients. This makes this equation and the research conducted by Dr. Roberts and Julie extremely valuable and powerful.

Because the MOST score can be used to predict negative outcomes the intention is to try and use it to prevent them. As we continue to monitor the MOST score and consider how to apply it as a intervention tool it is critical that the ongoing integrity of the data is consistent. This is why there was some concern when the 2008 data indicated a significant change in the MOST score values at HSC and SBGH. This promoted the need to review the data collection standards.

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 Discussed the MOST score. MOST stand for '''M'''edical '''O'''utcome '''S'''tratification and '''T'''riage.
-The MOST score is a risk stratification tool that generates a probability of an adverse outcome for a patient. The equation is derived from the Charlson Comorbid index, the Glascow Coma Score, the ADL, systolic BP, heart rate, respiratory rate, white blood cell count, the sex of the patient and their age. With these variable the equation can predict the likelihood of the patient having an adverse outcome such as death, a cardiac arrest and readmission or admission to an ICU. This equation was validated based on data collected at HSC, SBGH, the Grace and Victoria hospital on over 11,000 patients admitted to medical units in 2004/2005. There is no existing tool that can make such prediction for non ICU patients. This makes this equation and the research conducted by Dr. Roberts and Julie extremely valuable and powerful.
+The MOST score is a risk stratification tool that generates a probability of an adverse outcome for a patient. The equation is derived from the Charlson Comorbid index, the Glascow Coma Score, the KATZ ADL assessement, systolic BP, heart rate, respiratory rate, white blood cell count, the sex of the patient and their age. With these variable the equation can predict the likelihood of the patient having an adverse outcome such as death, a cardiac arrest and readmission or admission to an ICU. This equation was validated based on data collected at HSC, SBGH, the Grace and Victoria hospital on over 11,000 patients admitted to medical units in 2004/2005. There is no existing tool that can make such prediction for non ICU patients. This makes this equation and the research conducted by Dr. Roberts and Julie extremely valuable and powerful.
 Because the MOST score can be used to predict negative outcomes the intention is to try and use it to prevent them. As we continue to monitor the MOST score and consider how to apply it as a intervention tool it is critical that the ongoing integrity of the data is consistent. This is why there was some concern when the 2008 data indicated a significant change in the MOST score values at HSC and SBGH. This promoted the need to review the data collection standards.