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This study will test the hypothesis that reliable implementation of an evidence-based clinical practice guideline for evaluation of patients with signs and symptoms of sepsis will decrease antibiotic use in pediatric intensive care units (PICUs).
The Bright STAR Collaborative (BSC), or Blood Culture Improvement Guidelines and Diagnostic Stewardship for Antibiotic Reduction in Critically Ill Children Collaborative, is a multicenter quality improvement program to reduce blood culture use within pediatric intensive care units. Investigators will use data collected by participating sites to determine whether reliable implementation of clinical practice guidelines for evaluation of patients with signs and symptoms of sepsis can decrease antibiotic use in pediatric intensive care units. Investigators will perform a quasi-experimental study to compare outcome data in pre- and post- periods.
Greater than or equal to 10 institutions will participate in this collaborative. Participating institutions will develop and implement an evidenced-based clinical decision-making tool as part of their quality improvement (QI) program in their pediatric intensive care unit (PICU).
Aim 1: To determine if reliable implementation of clinical practice guidelines for evaluation of patients with signs and symptoms of sepsis can decrease blood culture use in pediatric intensive care units.
Aim 2: To determine if reliable implementation of clinical practice guidelines for evaluation of patients with signs and symptoms of sepsis can decrease central line-associated bloodstream infections in pediatric intensive care units.
Aim 3. To determine if reliable implementation of clinical practice guidelines for evaluation of patients with signs and symptoms of sepsis can reduce antibiotic use and Clostridium difficile infection.
Aim 4. To determine whether a clinical practice guideline for evaluation of patients with signs and symptoms of sepsis in the PICU has an unintended consequence of patient harm.
Aim 5. To evaluate the implementation of a multi-institutional quality improvement initiative and identify strategies for successful scale-up and adoption of similar practice guidelines in other clinical settings.
Variables: blood cultures and central line-associated blood stream infections (CLABSIs), antibiotic use, , episodes of Clostridium difficile infection mortality, length of stay, ICU readmission, hospital readmission, episodes of sepsis, and episodes of septic shock.
Analyses: The analytic approach equates to estimating and comparing the blood culture incidence during the "baseline/pre-implementation" and "post-implementation" periods, using a generalized linear mixed model (GLMM) assuming a Poisson distribution for the monthly number of blood cultures with the monthly number of patient days as an offset. Similar analyses will be conducted to evaluate the incidence of blood cultures drawn from central lines and CLABSIs. Due to the expected low incidence of CLABSIs, investigators will define time in quarters, not months, for that outcome. Similar analyses will be performed for secondary outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Multicenter Quality Improvement program | Locally developed and reliably implemented ICU Quality Improvement program to reduce blood culture use. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Multicenter Quality Improvement program | Other | Participating institutions will not participate in an intervention study. Sites will design and implement local QI programs to improve care within their unit. Local healthcare teams, who are interested in directly and immediately improving patient outcomes, will devise customized tools. The Bright STAR Team will assess the impact of these local QI initiatives on patient health outcomes, using data that are collected as part of the QI programs or through routine clinical care. |
| Measure | Description | Time Frame |
|---|---|---|
| Blood culture rate | The primary outcome of interest is blood culture rate in participating PICUs. A blood culture will be defined as any blood culture processed by the clinical microbiology laboratory. | Change in blood cultures per 100 patient days per month at 42 months |
| Measure | Description | Time Frame |
|---|---|---|
| Central line-associated bloodstream infections (CLABSI). | The secondary outcome of interest is CLABSIs in participating PICUs. The outcome measurement will include a denominator of catheter days in the participating units.We will measure the change in CLABSI rate per month. | 42 months |
| Broad spectrum antibiotic use |
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Inclusion Criteria:
Exclusion Criteria:
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ICU patient populations from units that develop and implement a quality improvement program to reduce blood culture use
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| Name | Affiliation | Role |
|---|---|---|
| Aaron Milstone, MD, MHS | Johns Hopkins University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St. Louis Children's Hospital, Washington University | St Louis | Missouri | 63110 | United States | ||
| Rainbow Babies & Children's Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27942705 | Background | Woods-Hill CZ, Fackler J, Nelson McMillan K, Ascenzi J, Martinez DA, Toerper MF, Voskertchian A, Colantuoni E, Klaus SA, Levin S, Milstone AM. Association of a Clinical Practice Guideline With Blood Culture Use in Critically Ill Children. JAMA Pediatr. 2017 Feb 1;171(2):157-164. doi: 10.1001/jamapediatrics.2016.3153. | |
| 29165616 |
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We will not collect any. We will only gather summary-level non Patient Health Information (PHI) from participating sites.
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|
Use of broad spectrum antibiotics; Total antibiotic days per 1,000 patient days per quarter |
| 42 months |
| Clostridium difficile infection | Incidence of infections per 1000 patient days per quarter | 42 months |
| Mortality | Death per hospital total ICU admissions comparing pre and post-intervention periods | 42 months |
| Length of ICU stay | Days in ICU; median number of days comparing pre and post-intervention periods | 42 months |
| ICU readmission | Readmission to the ICU within 7 days of discharge. We will measure the change in rate of readmission per total ICU admissions comparing pre and post-intervention periods | 42 months |
| Hospital readmission | Readmission to hospital within 7 days of discharge where we measured change in rate of hospital readmission comparing pre and post-intervention periods at | 42 months |
| Sepsis | Defined by the following: International Classification of Diseases (ICD)-10 codes ; Admissions with ICD-10 coded sepsis per total ICU admissions | 42 months |
| Septic shock | Defined by the following: ICD-10 codes; Admissions with ICD-10 coded septic shock per total ICU admissions | 42 months |
| Cleveland |
| Ohio |
| 44106 |
| United States |
| OHSU Doernbecher Children's Hospital | Portland | Oregon | 97239 | United States |
| Dell Children's Medical Center of Central Texas | Austin | Texas | 78723 | United States |
| Seattle Children's Hospital | Seattle | Washington | 98105 | United States |
| Xie A, Woods-Hill CZ, King AF, Enos-Graves H, Ascenzi J, Gurses AP, Klaus SA, Fackler JC, Milstone AM. Work System Assessment to Facilitate the Dissemination of a Quality Improvement Program for Optimizing Blood Culture Use: A Case Study Using a Human Factors Engineering Approach. J Pediatric Infect Dis Soc. 2019 Mar 28;8(1):39-45. doi: 10.1093/jpids/pix097. |
| 39346668 | Derived | Woods-Hill CZ, Koontz DW, Xie A, Colantuoni EA, Sick-Samuels A, Miller MR, Arthur A, Aneja A, Kumar U, Milstone AM; Brigh T STAR authorship group. Diagnostic stewardship for blood cultures in the pediatric intensive care unit: lessons in implementation from the BrighT STAR Collaborative. Antimicrob Steward Healthc Epidemiol. 2024 Sep 25;4(1):e148. doi: 10.1017/ash.2024.416. eCollection 2024. |
| ID | Term |
|---|---|
| D018805 | Sepsis |
| D016470 | Bacteremia |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001424 | Bacterial Infections |
| D001423 | Bacterial Infections and Mycoses |
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