There are three sets of presentations for this lecture:
Narrated slides and videos require Flash.
Question 1: This exercise allows you to examine how quality of hospital care is evaluated through data obtained from electronic health records. This exercise is discussed in several health administration courses, including courses on quality improvement, informatics, or statistics. In practice, the need to analyze these types of data arises in improvement teams, where managers, clinicians and sometimes patients work together to systematically improve healthcare processes. In this assignment, you are asked to examine if prophylactic antibiotics are discontinued within 24 hours after end of surgery. Instead of providing you with the data, we ask that you download the data on the web so that you learn more about the source of the data and peculiar organization of the data. Hospital Compare provides information on many quality indicators. In this assignment, you are asked to focus on failure to stop use of antibiotics post surgery. The Hospital Compare web site provides the following rationale for why this measure of quality is helpful: "A goal of prophylaxis with antibiotics is to provide benefit to the patient with as little risk as possible. It is important to maintain therapeutic serum and tissue levels throughout the operation. Intra-operative re-dosing may be needed for long operations. However, administration of antibiotics for more than a few hours after the incision is closed offers no additional benefit to the surgical patient. Prolonged administration does increase the risk of clostridium difficile infection and the development of antimicrobial resistant pathogens." To complete this assignment complete the following tasks:
Construct a control chart showing rate of overuse of prophylactic antibiotic over time in Southeast Alabama Medical Center. Download the needed data using the following databases (if new data is available, please use them): Download► Woods' Slides►
Question 2: Nursing home and hospital administrators implement many initiatives to reduce falls. This problem shows how these initiatives can be measured and evaluated. Prepare a risk-adjusted control chart for data on falls in a nursing home. Data► Video► SWF► Answer► Adhikari's Teach One►
Question 3: Following data were obtained on post surgical infection rates. Are we having more infections than expected from the patients' conditions? Answer►
Question 4: Download Hospital Compare data for the year 2015 and 2016. Start from 1/1/2015 till the most recent available database. Since the data on AMI payments does not change in the files, you can save time and read only the following 3 files into a new database:
In these files the denominator indicates the number of patients. Whether the hospital had above average payments are reported in different fields: [Compared to National], [Category], and [Payment Category] Select data that meet the following conditions:
Construct a control chart showing probability of change over time. Download using the following files: 2016-11-10.zip► 2016-08-10.zip► 2016-05-04.zip► 2015-12-10.zip► 2015-10-08.zip► 2015-07-16.zip►2015-05-06.zip► 2015-04-16.zip► 2015-01-22.zip► Guide► Access► Akhil Anto's SQL►
Question 5: On average 1 in 10 patients have some sort of medication error in our facility; what is the probability that out of 10 patients none will have medication errors?
Question 6: The probability of a patient recovering from a heart operation is 0.9. Assuming that heart operations are not related to each other, what is the probability that exactly 4 out of 8 next patients will survive the operation?
Question 7: An insurance salesperson is about to sell life insurance policies to 7 unrelated women, all of whom are of the same age, belong to the same race, and are in good health. According to independent actuarial estimates, the probability of a woman of this age, race, and health status being alive 20 years from now is 80%. What is the probability that in 20 years all 3 women are alive?
Question 8: Healthcare organizations are often interested in assessing the impact of screening efforts in generating new referrals. Patients may return to many different clinics and not just to the original screening clinic. They may also return to a clinic months later and not immediately. The attached data shows visits from pregnant mothers who received ultrasound tests. Data are presented on date of visits and clinics that were visited. Re-organize the data to count the number of referrals per month to neurology. Note that you will need to use Excel or SQL text processing commands to identify when the mother has returned to the neurology department. Construct a p- chart for the probability of a subsequent neurological visits in mothers who had an ultrasound screening. Data► Answer►
Question 9: Analyze "Death rate for CABG surgery patients", this is measure code MORT_30_CABG. Choose a hospital that you work at or plan to work at. You will find this measure inside "Complications and Deaths - Hosital" file. It was named this way in the year 2018. Include all years of data. Note that the name of the file may change in different years but the measure code remains the same. Compare the performance of your hospital to competing hospitals in the market of your hospital. Download►