Related Experiment Video
Updated: Sep 16, 2025

A Rat Model of Ventricular Fibrillation and Resuscitation by Conventional Closed-chest Technique
Published on: April 26, 2015
Development of an Explanatory Model of Resuscitation Preference Decision Making
Mark Goldszmidt1, Rachelle Lassaline2, Kristen A Bishop3
1Division of General Internal Medicine (M.G.), Department of Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada; Centre for Education Research and Innovation (CERI), Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Understanding patient resuscitation preferences is key for aligned care. This study identifies key influences on patient and substitute decision-maker choices, developing a model to improve these critical conversations.
Area of Science:
- Medical Ethics
- Patient Care
- Decision Making
Background:
- Establishing resuscitation preferences before emergencies ensures patient wishes guide care.
- However, these conversations are challenging, and influences on choices remain unclear.
Purpose of the Study:
- To identify influences on patient resuscitation preferences.
- To understand the relationships between these influences.
- To develop an explanatory model for resuscitation preference decisions.
Main Methods:
- Constructivist grounded theory analyzed 107 clinical notes from resuscitation preference conversations.
- Purposeful sampling with maximum variation was employed.
- Iterative data collection, analysis, and constant comparison enhanced rigor.
Main Results:
- A resuscitation preferences conversation model was developed with 27 coding categories.
- Patient and Substitute Decision Maker (SDM) preferences were informed by 'Ability to Engage in Meaningful Activity,' 'Trajectory,' and 'Perceptions and Beliefs.'
- SDM choices were further informed by 'Social and Knowing' and 'Experiences.'
Conclusions:
- The developed model explains relationships between influences and preferences, building on prior work.
- Integrating patient and SDM perspectives highlights the SDM's complex role.
- The model can enhance existing guides for effective resuscitation preference discussions.
Related Concept Videos
Reason and Intuition
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Decision Making
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Framing Effects
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

