Jessica L. Seidelman, Rebekah Moehring, Erin Gettler, Jay Krishnan, Lynn McGugan, Rachel Jordan, Margaret Murphy, Heather Pena, Christopher R. Polage, Diana Alame, Sarah Lewis, Becky Smith, Deverick Anderson, Nitin Mehdiratta
{"title":"在两家外科重症监护病房实施诊断管理干预措施,提高血液培养利用率:是时候改变血液培养方式了","authors":"Jessica L. Seidelman, Rebekah Moehring, Erin Gettler, Jay Krishnan, Lynn McGugan, Rachel Jordan, Margaret Murphy, Heather Pena, Christopher R. Polage, Diana Alame, Sarah Lewis, Becky Smith, Deverick Anderson, Nitin Mehdiratta","doi":"10.1017/ice.2023.249","DOIUrl":null,"url":null,"abstract":"<span>Objective:</span><p>We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention.</p><span>Design:</span><p>Prospective cohort design.</p><span>Setting:</span><p>Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery</p><span>Patients:</span><p>Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event.</p><span>Methods:</span><p>We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback.</p><span>Results:</span><p>The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; <span>P</span> < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; <span>P</span> < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods.</p><span>Conclusions:</span><p>We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.</p>","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"49 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of a diagnostic stewardship intervention to improve blood-culture utilization in 2 surgical ICUs: Time for a blood-culture change\",\"authors\":\"Jessica L. Seidelman, Rebekah Moehring, Erin Gettler, Jay Krishnan, Lynn McGugan, Rachel Jordan, Margaret Murphy, Heather Pena, Christopher R. Polage, Diana Alame, Sarah Lewis, Becky Smith, Deverick Anderson, Nitin Mehdiratta\",\"doi\":\"10.1017/ice.2023.249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<span>Objective:</span><p>We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention.</p><span>Design:</span><p>Prospective cohort design.</p><span>Setting:</span><p>Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery</p><span>Patients:</span><p>Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event.</p><span>Methods:</span><p>We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback.</p><span>Results:</span><p>The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; <span>P</span> < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; <span>P</span> < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods.</p><span>Conclusions:</span><p>We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.</p>\",\"PeriodicalId\":13558,\"journal\":{\"name\":\"Infection Control & Hospital Epidemiology\",\"volume\":\"49 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection Control & Hospital Epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/ice.2023.249\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Control & Hospital Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/ice.2023.249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of a diagnostic stewardship intervention to improve blood-culture utilization in 2 surgical ICUs: Time for a blood-culture change
Objective:
We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention.
Design:
Prospective cohort design.
Setting:
Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery
Patients:
Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event.
Methods:
We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback.
Results:
The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; P < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; P < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods.
Conclusions:
We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.