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  • Publication # 13-RA004

The March 2014 issue of Research Activities was the last issue of the monthly newsletter. AHRQ is transitioning to a new quarterly thematic publication that will provide longer, more in-depth analyses of individual topics related to AHRQ’s four priority areas. This new publication will be available online  in the Fall.

Research Activities readers will still be able to access published studies by AHRQ and AHRQ-supported researchers on the AHRQ Research Studies Web page, which will be online later this Spring. Studies can be accessed by first author, publication date, and key word.

Thanks to all our readers over the years who have told us how much they have enjoyed the newsletter. We hope our new quarterly publication will be equally useful in learning more about AHRQ and the field of health services research!

For questions, please contact Research Activities managing editor, Gail Makulowich, at gail.makulowich@ahrq.hhs.gov or at 301-427-1711.

Decision modeling can demonstrate potential trade-offs between survival and quality of life in advance directives

Patient Safety and Quality

When patients are critically ill and no longer able to make decisions, advance directives help maintain patient autonomy by allowing them to specify ahead of time the type of care desired. To determine if they could identify patient preferences for quality of life that might make a Do Not Intubate (DNI) versus a Full Code advance directive result in more favorable outcomes, a research team built a decision analytic model (mathematical simulation) comparing Full Code versus DNI in patients with severe chronic obstructive pulmonary disease (COPD), as an example of a highly prevalent chronic disease. The modeled DNI advance directive only allowed noninvasive mechanical ventilation versus the Full Code advance directive that allowed all forms of mechanical ventilation, including invasive mechanical ventilation via an endotracheal tube (ETT).

The simulation revealed that for community dwellers with COPD, Full Code resulted in a greater likelihood of survival and higher estimated quality-adjusted life years (QALYs). When considering patient preferences regarding complications, however, if patients were willing to give up more than 3 months of life expectancy to avoid ETT complications, or were willing to give up more than 1 month of life expectancy to avoid long-term institutionalization, DNI resulted in higher estimated QALYs.

The researchers conclude that advance directive decisionmaking must be informed by the likelihood of outcomes beyond survival alone, such as potential tradeoffs between survival and complications, as well as patients' preferences for these outcomes. Decision analytic modeling can assist with such complex decisionmaking by synthesizing evidence-based data with patient-specific factors to estimate more individualized likelihoods of outcomes and potential tradeoffs. This study was supported in part by the Agency for Healthcare Research and Quality (HS19473).

See "Informing shared decisions about advance directives for patients with severe chronic obstructive pulmonary disease: A modeling approach" by Negin Hajizadeh, MD, Kristina Crothers, MD, and R. Scott Braithwaite, MD, in Value in Health 15, pp. 357-366, 2012.

MWS

Page last reviewed January 2013
Internet Citation: Decision modeling can demonstrate potential trade-offs between survival and quality of life in advance directives: Patient Safety and Quality. January 2013. Agency for Healthcare Research and Quality, Rockville, MD. https://archive.ahrq.gov/news/newsletters/research-activities/13jan/0113RA8.html

 

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