Article Analysis: 'Utilizing Conjoint Analysis to Explicate Healthcare Decision Making'

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Fisher, K., et al., (2010). Utilizing conjoint analysis to explicate health care decision making by emergency department nurses. Applied Nursing Research. 23 (1): 30-5.
Fisher, et al., (2010) published a quantitative and descriptive study using clinical simulations and conjoint analysis to understand decision making by ER nurses when dealing with individuals who have intellectual disabilities. Essentially, conjoint analysis is a conceptual/statistical model that uses a number of attributes that require participants to make decision trade-offs. A detailed analysis of these trade-offs reveals which attributes in the study are most important, as well as a predictive component that allows researchers to extrapolate to future situations. In this case, the variables included different styles of communication, variable techniques for patient care, and the environment of the ER. The study concluded that nurses tend to rely more on future health status, functional status of the patient, and as much family input as possible when making health care decisions. The study used standard ethical research procedures, including confidentiality of results, randomized sampling, and methods that did not result in using a placebo or withholding care for any of the participants (Fisher, et al., 2010).
In its purest definition, quantitative research focuses on a systematic and empirical approach to research based on statistical, mathematical and/or computational techniques. The overall objective

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