Article: Analysing hospital factors influencing interhospital surgical site infection rates Journal: International Journal of Medical Engineering and Informatics (IJMEI) 2022 Vol.14 No.5 pp.424 - 438 Abstract: Each hospital system in the USA displays its own population demographics, pathogenic profiles and surgical volume based on varying geographical location. Since care quality require updates for meaningful assessment of interhospital surgical site infection (SSI) rates by adding more features, this retrospective analysis compare 222,845 interhospital at-risk individuals from the five-year (2008-2012) Healthcare Cost and Utilization Project (HCUP) data. The regression analysis for each hospital size (small: < 250 beds, medium: up to 450 beds, and large: 450+ beds) demonstrated distinctive benchmarking high risk clusters of patients with cardiovascular and respiratory surgical procedures more in rural than urban hospitals. The infection rates from the results conversed the population prevalence, adjusting the socio-demographic and other hospital characteristics for the suitable case-mix which was believed to cause difficulty in recognising hospitals with high risks and incapability in tracking post-discharge SSI patients. Inderscience Publishers - linking academia, business and industry through research

Title: Analysing hospital factors influencing interhospital surgical site infection rates

Authors: Vibha Gujar; Shankar Srinivasan; Dinesh P. Mital; Frederick D. Coffman

Addresses: Department of Health informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA ' Department of Health informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA ' Department of Health informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA ' Department of Health informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA

Abstract: Each hospital system in the USA displays its own population demographics, pathogenic profiles and surgical volume based on varying geographical location. Since care quality require updates for meaningful assessment of interhospital surgical site infection (SSI) rates by adding more features, this retrospective analysis compare 222,845 interhospital at-risk individuals from the five-year (2008-2012) Healthcare Cost and Utilization Project (HCUP) data. The regression analysis for each hospital size (small: < 250 beds, medium: up to 450 beds, and large: 450+ beds) demonstrated distinctive benchmarking high risk clusters of patients with cardiovascular and respiratory surgical procedures more in rural than urban hospitals. The infection rates from the results conversed the population prevalence, adjusting the socio-demographic and other hospital characteristics for the suitable case-mix which was believed to cause difficulty in recognising hospitals with high risks and incapability in tracking post-discharge SSI patients.

Keywords: surgical site infection; SSI; post-surgical infection; catheterisation; hospital size.

DOI: 10.1504/IJMEI.2022.125315

International Journal of Medical Engineering and Informatics, 2022 Vol.14 No.5, pp.424 - 438

Received: 07 Oct 2020
Accepted: 26 Nov 2020
Published online: 07 Sep 2022 *

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Title: Analysing hospital factors influencing interhospital surgical site infection rates

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