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Application of center for disease control and prevention standardized antimicrobial administration ratio to an Indian hospital
Rigorous antibiotic stewardship is advised by international societies to combat rising antibiotic resistance. A major component of these programs is the metric used for antibiotic consumption measurement. A method for standardized antimicrobial administration ratio (SAAR) is suggested by the Centre...
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Published in: | Antimicrobial stewardship & healthcare epidemiology : ASHE 2024, Vol.4 (1), p.e149, Article e149 |
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creator | Sarma, Smita Borde, Kalyani Robinson, Matthew Rawat, Neelam Khurana, Prerna Singh, Vyoma Singh, Padam Mehta, Yatin |
description | Rigorous antibiotic stewardship is advised by international societies to combat rising antibiotic resistance. A major component of these programs is the metric used for antibiotic consumption measurement. A method for standardized antimicrobial administration ratio (SAAR) is suggested by the Centre for Disease Control & Prevention-National Healthcare Safety Network (NHSN).
We applied the SAAR method to calculate antibiotic consumption in a tertiary care hospital in India. We also validated a limited sampling approach to calculate SAAR.
The prospective study was conducted in three medical intensive care units over a period of 12 months. Monthly antibiotic consumption was measured by the hospital electronic records. Limited sampling was performed by weekly bedside review of the antibiotic orders. Formulae for SAAR calculation were derived from the NHSN guide. SAAR obtained by electronic records and limited sampling were compared to validate this approach.
SAAR was calculated as >1 for an Indian hospital (1.49 by electronic records and 1.43 by limited sampling approach). The difference between the two ratios was not statistically significant (
= .47).
SAAR in our setting is 1.49, which is slightly higher than the NHSN benchmark. Antibiotic usage (AU) risk adjustment based on data from the NHSN might not be adequate for calculating SAAR for Indian hospitals. There is a need to perform AU risk factor analysis for Indian settings for better defining SAAR in Indian context. The limited sampling approach can be adapted for calculation of SAAR in settings with limited resources. |
doi_str_mv | 10.1017/ash.2024.396 |
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We applied the SAAR method to calculate antibiotic consumption in a tertiary care hospital in India. We also validated a limited sampling approach to calculate SAAR.
The prospective study was conducted in three medical intensive care units over a period of 12 months. Monthly antibiotic consumption was measured by the hospital electronic records. Limited sampling was performed by weekly bedside review of the antibiotic orders. Formulae for SAAR calculation were derived from the NHSN guide. SAAR obtained by electronic records and limited sampling were compared to validate this approach.
SAAR was calculated as >1 for an Indian hospital (1.49 by electronic records and 1.43 by limited sampling approach). The difference between the two ratios was not statistically significant (
= .47).
SAAR in our setting is 1.49, which is slightly higher than the NHSN benchmark. Antibiotic usage (AU) risk adjustment based on data from the NHSN might not be adequate for calculating SAAR for Indian hospitals. There is a need to perform AU risk factor analysis for Indian settings for better defining SAAR in Indian context. The limited sampling approach can be adapted for calculation of SAAR in settings with limited resources.</description><identifier>ISSN: 2732-494X</identifier><identifier>EISSN: 2732-494X</identifier><identifier>DOI: 10.1017/ash.2024.396</identifier><identifier>PMID: 39350946</identifier><language>eng</language><publisher>England: Cambridge University Press</publisher><subject>Antibiotic resistance ; Antibiotics ; Catheters ; Disease control ; Electronic records ; Factor analysis ; Hospitals ; Infections ; Multidrug resistant organisms ; Original ; Patients ; Pediatrics ; Prevention ; Risk factors ; Software</subject><ispartof>Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024, Vol.4 (1), p.e149, Article e149</ispartof><rights>The Author(s) 2024.</rights><rights>The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c436t-123b1599082abc9403fce51a39de69193af3eaa0e13675f39bd9af5cb3ac32d23</cites><orcidid>0000-0002-2296-2804 ; 0000-0003-3518-6258</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3109322560/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3109322560?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4010,25730,27899,27900,27901,36988,36989,44565,53765,53767,75095</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39350946$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sarma, Smita</creatorcontrib><creatorcontrib>Borde, Kalyani</creatorcontrib><creatorcontrib>Robinson, Matthew</creatorcontrib><creatorcontrib>Rawat, Neelam</creatorcontrib><creatorcontrib>Khurana, Prerna</creatorcontrib><creatorcontrib>Singh, Vyoma</creatorcontrib><creatorcontrib>Singh, Padam</creatorcontrib><creatorcontrib>Mehta, Yatin</creatorcontrib><title>Application of center for disease control and prevention standardized antimicrobial administration ratio to an Indian hospital</title><title>Antimicrobial stewardship & healthcare epidemiology : ASHE</title><addtitle>Antimicrob Steward Healthc Epidemiol</addtitle><description>Rigorous antibiotic stewardship is advised by international societies to combat rising antibiotic resistance. A major component of these programs is the metric used for antibiotic consumption measurement. A method for standardized antimicrobial administration ratio (SAAR) is suggested by the Centre for Disease Control & Prevention-National Healthcare Safety Network (NHSN).
We applied the SAAR method to calculate antibiotic consumption in a tertiary care hospital in India. We also validated a limited sampling approach to calculate SAAR.
The prospective study was conducted in three medical intensive care units over a period of 12 months. Monthly antibiotic consumption was measured by the hospital electronic records. Limited sampling was performed by weekly bedside review of the antibiotic orders. Formulae for SAAR calculation were derived from the NHSN guide. SAAR obtained by electronic records and limited sampling were compared to validate this approach.
SAAR was calculated as >1 for an Indian hospital (1.49 by electronic records and 1.43 by limited sampling approach). The difference between the two ratios was not statistically significant (
= .47).
SAAR in our setting is 1.49, which is slightly higher than the NHSN benchmark. Antibiotic usage (AU) risk adjustment based on data from the NHSN might not be adequate for calculating SAAR for Indian hospitals. There is a need to perform AU risk factor analysis for Indian settings for better defining SAAR in Indian context. The limited sampling approach can be adapted for calculation of SAAR in settings with limited resources.</description><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Catheters</subject><subject>Disease control</subject><subject>Electronic records</subject><subject>Factor analysis</subject><subject>Hospitals</subject><subject>Infections</subject><subject>Multidrug resistant organisms</subject><subject>Original</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Prevention</subject><subject>Risk factors</subject><subject>Software</subject><issn>2732-494X</issn><issn>2732-494X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdks9rFDEUx4Motqy9eZYBLx7cNcmbyUxOUoq2CwUvCt7Cm_zoZpmZjEm2UA_-7Wa6tbRe8g3vffjy8vIl5C2jG0ZZ-wnTbsMprzcgxQtyylvg61rWP18-uZ-Qs5T2lFLeMdrK9jU5AQkNlbU4JX_O53nwGrMPUxVcpe2UbaxciJXxyWKylQ5TjmGocDLVHO1tIRY45VLAaPxva0ov-9HrGHqPhTSjn3zK8Wh7L1UOhaq2k_FFdiHNPuPwhrxyOCR79qAr8uPrl-8XV-vrb5fbi_Prta5B5DXj0LNGStpx7LWsKThtG4YgjRWSSUAHFpFaBqJtHMjeSHSN7gE1cMNhRbZHXxNwr-boR4x3KqBX94UQbxTG7PVglaFaUt03RktZo6C9caxlbY-Oys52tHh9PnrNh360ZtlYxOGZ6fPO5HfqJtwqxuqaNqItDh8eHGL4dbApq9EnbYcBJxsOSQFjTEAnyrEi7_9D9-EQp7KrQlEJnDdiGenjkSo_kFK07nEaRtUSFFWCopagqBKUgr97-oJH-F8s4C_njLyh</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Sarma, Smita</creator><creator>Borde, Kalyani</creator><creator>Robinson, Matthew</creator><creator>Rawat, Neelam</creator><creator>Khurana, Prerna</creator><creator>Singh, Vyoma</creator><creator>Singh, Padam</creator><creator>Mehta, Yatin</creator><general>Cambridge University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>NAPCQ</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2296-2804</orcidid><orcidid>https://orcid.org/0000-0003-3518-6258</orcidid></search><sort><creationdate>2024</creationdate><title>Application of center for disease control and prevention standardized antimicrobial administration ratio to an Indian hospital</title><author>Sarma, Smita ; 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A major component of these programs is the metric used for antibiotic consumption measurement. A method for standardized antimicrobial administration ratio (SAAR) is suggested by the Centre for Disease Control & Prevention-National Healthcare Safety Network (NHSN).
We applied the SAAR method to calculate antibiotic consumption in a tertiary care hospital in India. We also validated a limited sampling approach to calculate SAAR.
The prospective study was conducted in three medical intensive care units over a period of 12 months. Monthly antibiotic consumption was measured by the hospital electronic records. Limited sampling was performed by weekly bedside review of the antibiotic orders. Formulae for SAAR calculation were derived from the NHSN guide. SAAR obtained by electronic records and limited sampling were compared to validate this approach.
SAAR was calculated as >1 for an Indian hospital (1.49 by electronic records and 1.43 by limited sampling approach). The difference between the two ratios was not statistically significant (
= .47).
SAAR in our setting is 1.49, which is slightly higher than the NHSN benchmark. Antibiotic usage (AU) risk adjustment based on data from the NHSN might not be adequate for calculating SAAR for Indian hospitals. There is a need to perform AU risk factor analysis for Indian settings for better defining SAAR in Indian context. The limited sampling approach can be adapted for calculation of SAAR in settings with limited resources.</abstract><cop>England</cop><pub>Cambridge University Press</pub><pmid>39350946</pmid><doi>10.1017/ash.2024.396</doi><orcidid>https://orcid.org/0000-0002-2296-2804</orcidid><orcidid>https://orcid.org/0000-0003-3518-6258</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antibiotic resistance Antibiotics Catheters Disease control Electronic records Factor analysis Hospitals Infections Multidrug resistant organisms Original Patients Pediatrics Prevention Risk factors Software |
title | Application of center for disease control and prevention standardized antimicrobial administration ratio to an Indian hospital |
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