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Tzikas (2004) presented a patient satisfaction response of 47% excellent and 41% good.
Scores are calculated by weighting each satisfaction response with its paired importance response.
These five factors contributed to a model able to correctly predict 97% of the variation in overall patient satisfaction response.
Marrying of expectations and resultant perception of outcome has been suggested as a model for understanding satisfaction response in the marketing literature.
Many factors have been suggested to influence patient's satisfaction; however there is little consensus at to which areas of care actually influences overall satisfaction response.
These three factors drove a model which was able to explain 97% of the variation in the patient's overall satisfaction response.
Similar(51)
The proportion of positive family satisfaction responses for pain management significantly increased from fiscal year 2014 to fiscal year 2016 (p = .006).006
The corresponding levels of satisfaction (responses of at least 4 stars) were respectively 67, 78, 65, 77, 78, and 79%.
See Schimmack & Oishi (2005) for a critical reply, which argues that chronically accessible information is a much better predictor of life satisfaction responses than temporarily accessible information, such as how many dates one went on last week.
Importance ratings are used to weigh the satisfaction responses.
Descriptive statistics were undertaken to quantify post-session satisfaction responses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com