Patient Satisfaction Survey Analysis

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In the healthcare industry, many evaluation and reimbursement structures are moving toward a survey system to rate patient satisfaction score. “Thus, the results of patient-satisfaction surveys, such as HCAHPS, ultimately came to affect hospitals’ financial bottom lines” (Junewicz & Youngner, 2015). The scores are collected and used to show different levels of measurement to reflect the patient’s interpretation of their care. Nominal, ordinal, interval, and ratio, are levels of measurement used to analyze data (Mirabella, 2011).

Since there is no structure in place ot measure the outpatient satisfaction rates, I would create a survey that would evaluate the short term care of these patients. The nominal level has no numeric value but represents a patient that was surveyed. No particular numeric value, name, or value is attached to the patient being surveyed. In order to establish a ranking or order to evaluate the answers, the survey would ask that the questions be answered in one of five different values. The order of the survey represents five different catagories
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Time is an interval that is used as an interval scale since it is measurable. When patients wait for test or procedures, the measurement of time can be recorded in exact increments. The data can be used to compare the amount of time it took to admit, preop, and recover a patient. Ratio measurement is one of the many ways this information can be compiled to show how many patients waited 30 minutes for admission versus those who waited greater than 30 minutes. The importance of this data analysis could help us to evaluate our current outpatient wait times and associate that with satisfaction scores. “Assessing patient satisfaction thus evolved into a business practice constructed to please and attract consumers and reinforced by the federal government via financial carrots and sticks for hospitals “ (Junewicz & Youngner,

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