The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data
BackgroundMany factors contribute to the spreading of hospital-acquired infections (HAIs). ObjectiveThis study aimed to standardize the HAI rate using prediction models in Iran based on the National Healthcare Safety Network (NHSN) method. MethodsIn th...
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| Format: | Članak |
| Jezik: | English |
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JMIR Publications
2021-12-01
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| Serija: | JMIR Public Health and Surveillance |
| Online pristup: | https://publichealth.jmir.org/2021/12/e33296 |
| _version_ | 1827858794712924160 |
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| author | Neda Izadi Koorosh Etemad Yadollah Mehrabi Babak Eshrati Seyed Saeed Hashemi Nazari |
| author_facet | Neda Izadi Koorosh Etemad Yadollah Mehrabi Babak Eshrati Seyed Saeed Hashemi Nazari |
| author_sort | Neda Izadi |
| collection | DOAJ |
| description |
BackgroundMany factors contribute to the spreading of hospital-acquired infections (HAIs).
ObjectiveThis study aimed to standardize the HAI rate using prediction models in Iran based on the National Healthcare Safety Network (NHSN) method.
MethodsIn this study, the Iranian nosocomial infections surveillance system (INIS) was used to gather data on patients with HAIs (126,314 infections). In addition, the hospital statistics and information system (AVAB) was used to collect data on hospital characteristics. First, well-performing hospitals, including 357 hospitals from all over the country, were selected. Data were randomly split into training (70%) and testing (30%) sets. Finally, the standardized infection ratio (SIR) and the corrected SIR were calculated for the HAIs.
ResultsThe mean age of the 100,110 patients with an HAI was 40.02 (SD 23.56) years. The corrected SIRs based on the observed and predicted infections for respiratory tract infections (RTIs), urinary tract infections (UTIs), surgical site infections (SSIs), and bloodstream infections (BSIs) were 0.03 (95% CI 0-0.09), 1.02 (95% CI 0.95-1.09), 0.93 (95% CI 0.85-1.007), and 0.91 (95% CI 0.54-1.28), respectively. Moreover, the corrected SIRs for RTIs in the infectious disease, burn, obstetrics and gynecology, and internal medicine wards; UTIs in the burn, infectious disease, internal medicine, and intensive care unit wards; SSIs in the burn and infectious disease wards; and BSIs in most wards were >1, indicating that more HAIs were observed than expected.
ConclusionsThe results of this study can help to promote preventive measures based on scientific evidence. They can also lead to the continuous improvement of the monitoring system by collecting and systematically analyzing data on HAIs and encourage the hospitals to better control their infection rates by establishing a benchmarking system. |
| first_indexed | 2024-03-12T12:59:13Z |
| format | Article |
| id | doaj.art-28f87b1aaeba45429880103775d6273a |
| institution | Directory Open Access Journal |
| issn | 2369-2960 |
| language | English |
| last_indexed | 2024-03-12T12:59:13Z |
| publishDate | 2021-12-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj.art-28f87b1aaeba45429880103775d6273a2023-08-28T19:57:31ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602021-12-01712e3329610.2196/33296The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry DataNeda Izadihttps://orcid.org/0000-0002-6373-1113Koorosh Etemadhttps://orcid.org/0000-0002-4005-9563Yadollah Mehrabihttps://orcid.org/0000-0001-9837-4956Babak Eshratihttps://orcid.org/0000-0001-5999-7173Seyed Saeed Hashemi Nazarihttps://orcid.org/0000-0002-0883-3408 BackgroundMany factors contribute to the spreading of hospital-acquired infections (HAIs). ObjectiveThis study aimed to standardize the HAI rate using prediction models in Iran based on the National Healthcare Safety Network (NHSN) method. MethodsIn this study, the Iranian nosocomial infections surveillance system (INIS) was used to gather data on patients with HAIs (126,314 infections). In addition, the hospital statistics and information system (AVAB) was used to collect data on hospital characteristics. First, well-performing hospitals, including 357 hospitals from all over the country, were selected. Data were randomly split into training (70%) and testing (30%) sets. Finally, the standardized infection ratio (SIR) and the corrected SIR were calculated for the HAIs. ResultsThe mean age of the 100,110 patients with an HAI was 40.02 (SD 23.56) years. The corrected SIRs based on the observed and predicted infections for respiratory tract infections (RTIs), urinary tract infections (UTIs), surgical site infections (SSIs), and bloodstream infections (BSIs) were 0.03 (95% CI 0-0.09), 1.02 (95% CI 0.95-1.09), 0.93 (95% CI 0.85-1.007), and 0.91 (95% CI 0.54-1.28), respectively. Moreover, the corrected SIRs for RTIs in the infectious disease, burn, obstetrics and gynecology, and internal medicine wards; UTIs in the burn, infectious disease, internal medicine, and intensive care unit wards; SSIs in the burn and infectious disease wards; and BSIs in most wards were >1, indicating that more HAIs were observed than expected. ConclusionsThe results of this study can help to promote preventive measures based on scientific evidence. They can also lead to the continuous improvement of the monitoring system by collecting and systematically analyzing data on HAIs and encourage the hospitals to better control their infection rates by establishing a benchmarking system.https://publichealth.jmir.org/2021/12/e33296 |
| spellingShingle | Neda Izadi Koorosh Etemad Yadollah Mehrabi Babak Eshrati Seyed Saeed Hashemi Nazari The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data JMIR Public Health and Surveillance |
| title | The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data |
| title_full | The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data |
| title_fullStr | The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data |
| title_full_unstemmed | The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data |
| title_short | The Standardization of Hospital-Acquired Infection Rates Using Prediction Models in Iran: Observational Study of National Nosocomial Infection Registry Data |
| title_sort | standardization of hospital acquired infection rates using prediction models in iran observational study of national nosocomial infection registry data |
| url | https://publichealth.jmir.org/2021/12/e33296 |
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