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Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship
BACKGROUND: Antimicrobial resistance (AMR) is an ecological and economic crisis and stewardship of available antimicrobials is required. Electronic prescribing, where available, enables auditing of practice, yet in order to be efficient and effective in addressing inappropriate antimicrobial prescri...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404285/ https://www.ncbi.nlm.nih.gov/pubmed/30886704 http://dx.doi.org/10.1186/s13756-019-0496-4 |
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author | Heard, Katie L. Hughes, Stephen Mughal, Nabeela Azadian, Berge S. Moore, Luke S. P. |
author_facet | Heard, Katie L. Hughes, Stephen Mughal, Nabeela Azadian, Berge S. Moore, Luke S. P. |
author_sort | Heard, Katie L. |
collection | PubMed |
description | BACKGROUND: Antimicrobial resistance (AMR) is an ecological and economic crisis and stewardship of available antimicrobials is required. Electronic prescribing, where available, enables auditing of practice, yet in order to be efficient and effective in addressing inappropriate antimicrobial prescribing, better use of current and new technological interventions is needed. This retrospective observational evaluation looked at the impact of a commercial clinical decision support system (CDSS) on the workflow of an established antimicrobial stewardship (AMS) team. MATERIAL/METHODS: Clinical, workflow, and pharmaceutical data from 3 months post implementation of CDSS were collated, and compared to the same 3 month periods in preceding years. The evaluation considered total interventions made, the types of intervention made, impact of said interventions, and time spent executing interventions. All antimicrobial data were adjusted for total daily defined doses (DDD) of intravenous antimicrobials. RESULTS: Productivity: In the 3 month evaluation period (Jun-Aug 2016) a total of 264 case reviews resulting in 298 AMS interventions were made. Compared to preceding years where 138 and 169 interventions were made (2013 and 2014 respectively). In 2013 49% of interventions were stopping medication and 30% change of therapy based on cultures and sensitivities compared to 25 and 17% in 2016. In contrast to previous years’, the CDSS instead enabled a greater number of dose/drug optimisation (13%), escalation of antimicrobials (12%) and intravenous (IV) to oral switch (11%) interventions. Patient Identification: Despite increased patient numbers post-CDSS, on average 46 min per day was spent compiling a patient list for review, compared to 59 min in 2014. The use of CDSS facilitated 15 interventions/1000DDD, compared to pre-intervention (9.4/1000DDD in 2013; 11.5/1000DDD in 2014). CONCLUSIONS: Initial evaluation of the impact of this CDSS on AMS at the organisation has demonstrated effectiveness in terms of case finding, AMS team productivity, and workflow auditing. More importantly, patient infection management has been optimised with a shift in the emphasis of AMS interventions. It has contributed to the success of the healthcare provider achieving nationally set remunerated AMS targets. |
format | Online Article Text |
id | pubmed-6404285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64042852019-03-18 Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship Heard, Katie L. Hughes, Stephen Mughal, Nabeela Azadian, Berge S. Moore, Luke S. P. Antimicrob Resist Infect Control Research BACKGROUND: Antimicrobial resistance (AMR) is an ecological and economic crisis and stewardship of available antimicrobials is required. Electronic prescribing, where available, enables auditing of practice, yet in order to be efficient and effective in addressing inappropriate antimicrobial prescribing, better use of current and new technological interventions is needed. This retrospective observational evaluation looked at the impact of a commercial clinical decision support system (CDSS) on the workflow of an established antimicrobial stewardship (AMS) team. MATERIAL/METHODS: Clinical, workflow, and pharmaceutical data from 3 months post implementation of CDSS were collated, and compared to the same 3 month periods in preceding years. The evaluation considered total interventions made, the types of intervention made, impact of said interventions, and time spent executing interventions. All antimicrobial data were adjusted for total daily defined doses (DDD) of intravenous antimicrobials. RESULTS: Productivity: In the 3 month evaluation period (Jun-Aug 2016) a total of 264 case reviews resulting in 298 AMS interventions were made. Compared to preceding years where 138 and 169 interventions were made (2013 and 2014 respectively). In 2013 49% of interventions were stopping medication and 30% change of therapy based on cultures and sensitivities compared to 25 and 17% in 2016. In contrast to previous years’, the CDSS instead enabled a greater number of dose/drug optimisation (13%), escalation of antimicrobials (12%) and intravenous (IV) to oral switch (11%) interventions. Patient Identification: Despite increased patient numbers post-CDSS, on average 46 min per day was spent compiling a patient list for review, compared to 59 min in 2014. The use of CDSS facilitated 15 interventions/1000DDD, compared to pre-intervention (9.4/1000DDD in 2013; 11.5/1000DDD in 2014). CONCLUSIONS: Initial evaluation of the impact of this CDSS on AMS at the organisation has demonstrated effectiveness in terms of case finding, AMS team productivity, and workflow auditing. More importantly, patient infection management has been optimised with a shift in the emphasis of AMS interventions. It has contributed to the success of the healthcare provider achieving nationally set remunerated AMS targets. BioMed Central 2019-03-06 /pmc/articles/PMC6404285/ /pubmed/30886704 http://dx.doi.org/10.1186/s13756-019-0496-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Heard, Katie L. Hughes, Stephen Mughal, Nabeela Azadian, Berge S. Moore, Luke S. P. Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship |
title | Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship |
title_full | Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship |
title_fullStr | Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship |
title_full_unstemmed | Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship |
title_short | Evaluating the impact of the ICNET® clinical decision support system for antimicrobial stewardship |
title_sort | evaluating the impact of the icnet® clinical decision support system for antimicrobial stewardship |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404285/ https://www.ncbi.nlm.nih.gov/pubmed/30886704 http://dx.doi.org/10.1186/s13756-019-0496-4 |
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