Assessment of interhospital differences in the surgical site infection rates due to the patient and hospital related risk factors in US hospitals
Citation & Export
Hide
Simple citation
Gujar, Vibha.
Assessment of interhospital differences in the surgical site infection rates due to the patient and hospital related risk factors in US hospitals. Retrieved from
https://doi.org/doi:10.7282/t3-408m-t347Export
Description
TitleAssessment of interhospital differences in the surgical site infection rates due to the patient and hospital related risk factors in US hospitals
Date Created2021
Other Date2021-01 (degree)
Extent1 online resource (xii, 163 pages) : illustrations
DescriptionSurgical site infection (SSI) is a significant patient safety issue in hospitals that is related to more extended hospital stays, and increased cost burden. Since the infection prevention strategies been inconsistently implemented in hospitals, hospital size must be an influential factor to cause an impact on SSI rates.
We retrospectively analyzed 222,845 cases with SSI from National Inpatient Sample (NIS) data developed for Healthcare Cost and Utilization Project (HCUP) database, between the year 2008 and 2012 at small (<250 beds), medium (25-450 beds), and large (100-450+ beds) size hospitals. Risk factors, including demographics, socioeconomic, location, and functioning features then introduced to compare interhospital SSI prevalence and county-specific SSI rates. Finally, risk factors were regressed to assess the association between risk factors and SSI measures.
With an overall prevalence of 2.67 per 100 procedures, unadjusted prevalence rates were 2.9% in small, 2.62% in medium, and 2.65% in large hospitals (p<0.0001). Patients with transfers, high severity of the disease, comorbidities, catheterization, and academic hospitals were the vital distinguishing factors for SSI rates amongst the hospital varying in capacities. The elderly patients at the small rural and minorities (Black and Hispanic patients) at the large urban teaching hospitals were at higher SSI risks. Fluid & electrolyte imbalances and weight loss were most recorded comorbidities.
Every year hospital administration aims to reduce SSIs without losing gained revenue. Besides infrequent adherence to infection prevention (IP) strategies, it identifies hospital and patient-related conditions that influence SSI rates. According to this study, interhospital SSI rates disparity associations were multifactorial with partial elucidations allied to variances in demographics, transfers, level of severity of the disease, comorbidities, and socioeconomic factors in small and large hospitals. The findings also led to more infection reduction exertions towards hospitals from rural and teaching hospitals from urban counties. Therefore, the assessments of infection prevention deficiencies with the refined overtime data provide more information on modifiable indicators and that if explored in more detail at hospital settings, it can help infection preventionist for benchmarking.
NotePh.D.
NoteIncludes bibliographical references
Genretheses, ETD doctoral
LanguageEnglish
CollectionSchool of Health Professions ETD Collection
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Statistical Profile