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Background: Hip revision surgery is necessary when a hip replacement needs to be repaired due to loosening, instability, or infection. The study used data from the National Inpatient Sample (NIS) survey, which consists of information from over 4,000 hospitals. By adjusting the demographics, the hypothesis is to determine if there is a significant difference in hip revision surgeries between non-white and white inpatients. Methods: The study used a statistical programming analysis, SAS 9.4, on the data collected in the years from 2016 to 2020 to adjust the NIS data to specific demographics including white and non-white populations. The analysis utilized many demographic variables to compare the interaction of hip revision surgery and race with these variables. The study used chi-squared tests to measure the interaction between hip revision surgery and race with the other variables, and the mean was calculated to determine age, the average length of stay for inpatients undergoing hip revision surgery, and the total charges the inpatient was given. The complex survey method was also used to estimate the count in the population.Results: The inpatients for hip revision surgery were most likely about 73% more white, 25% more female, around 70 years in age, and live in an urban county. They usually have Medicare as their primary insurance. The average length of stay in the hospital will be around four days for the white population, five days for the non-white population and together the average would be 4.8 days. The average total charge for the white population was $97,167 and the non-white population was $73,940. Conclusion: This study showed that there were a few significance differences between the two populations. The age, length of stay, and total charges had a more significant effect on the outcome as compared to the rest of the variables. Even though there were limitations, the racial disparities did reveal themselves in the hip revision surgeries adjusted by the demographics. The next steps to strive to reduce these disparities to improve the quality of healthcare for the non-white populations. |
