QNT/561
11/24/2014
Introduction
There is a vast range of a population that be obtained from the healthcare field. For this sampling, we are taking patients who came into have services done through First Physicians Group. Patients have been complaining of long wait times for services, and based on a survey that we will be conducting, we want to know how long the average wait time is and what patients think of it, we will also be asking what we can do to make the wait time better for the patients who come in for services with us.
The survey will be five simple questions as follows:
1) What time of day did you come in?
2) What type of service were you here to be seen for?
3) How was the overall service that you received from our facility?
4) Were you informed that there may be a wait for your services?
5) What can we do to improve your next experience with us?
This will be a simple survey of 100 patients who have come in to have services done. The surveys will go out in the mail and we will be reviewing all responses that come in. As a counter to this survey, we will also be tracking these patients when they come in. We will track what time they checked in, what time they were taken back for service and what time they were checked out.
When calculating the sample size of the patient population, we are looking at a sample size of 100, with a confidence level of 95% and a 5% margin for error, with an answer of 4.27. This is valid because the physician group used a survey of 100 people to conduct this, and they made sure to get information from all of these people in order to conduct the analysis and make sure that they had an accurate amount of people were evaluated to get an accurate number.
There will be one person that will be conducting the survey, and all information received regarding the survey will be given to this specific person who will be keeping track of all information. This will be gathered and then looked over and trends will be looked at to see and evaluate why wait times are so long for patients. This will hopefully in the future help the practice to better serve their patients with shorter wait times and make things more efficient.