National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- (-) Adverse Events (7)
- Ambulatory Care and Surgery (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Children/Adolescents (1)
- Data (1)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (2)
- (-) Healthcare-Associated Infections (HAIs) (7)
- Health Information Technology (HIT) (2)
- Hospital Readmissions (1)
- Infectious Diseases (1)
- Injuries and Wounds (2)
- Intensive Care Unit (ICU) (1)
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- Prevention (1)
- (-) Quality Improvement (7)
- Quality of Care (4)
- Registries (1)
- Surgery (5)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedZhu Y, Simon GJ, Wick EC
Applying machine learning across sites: external validation of a surgical site infection detection algorithm.
Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. The purpose of the study was to understand the generalizability of a machine learning algorithm between sites; automated surgical site infection (SSI) detection algorithms developed at one center were tested at another distinct center.
AHRQ-funded; HS024532.
Citation: Zhu Y, Simon GJ, Wick EC .
Applying machine learning across sites: external validation of a surgical site infection detection algorithm.
J Am Coll Surg 2021 Jun;232(6):963-71.e1. doi: 10.1016/j.jamcollsurg.2021.03.026..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Adverse Events, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Aasen DM, Bronsert Rozeboom, PD
Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database.
This study looked at the relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned hospital readmissions after surgery. Data from the American College of Surgeons National Surgical Quality Improvement database from 2012 to 2017 across nine surgical specialties was used to analyze 30-day postoperative infectious complications including sepsis, surgical site infections, pneumonia, and urinary tract infections. Postoperative infectious complications were identified in 5.2% of cases, of which 59.8% were postdischarge. The specific postdischarge complications identified were 73.4% of surgical site infections, 34.9% of sepsis cases, 26.5% of pneumonia cases, and 53.2% of urinary tract infections. These postoperative infections were associated with an increased risk of readmission. Most infections were diagnosed postdischarge. The trend towards shorter length of stays postoperation also contribute to the increase in infections detected after discharge and the rate of unplanned related postoperative readmissions.
AHRQ-funded; HS026019.
Citation: Aasen DM, Bronsert Rozeboom, PD .
Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database.
Surgery 2021 Feb;169(2):325-32. doi: 10.1016/j.surg.2020.08.009..
Keywords: Hospital Readmissions, Adverse Events, Healthcare-Associated Infections (HAIs), Infectious Diseases, Quality Improvement, Quality of Care, Surgery
Davis KK, Mahishi V, Singal R
AHRQ Author: Miller MA
Quality improvement in ambulatory surgery centers: a major national effort aimed at reducing infections and other surgical complications.
Researchers recruited ambulatory surgery centers (ASCs) to implement and then modify patient safety practices that were used in hospitals, but may not be appropriate for ASCs. They recruited 665 ASCs in 47 US states and had them provide suggestions for modifying safe practices with the use of a surgical safety checklist and infection control practices.
AHRQ-authored.
Citation: Davis KK, Mahishi V, Singal R .
Quality improvement in ambulatory surgery centers: a major national effort aimed at reducing infections and other surgical complications.
J Clin Med Res 2019 Jan;11(1):7-14. doi: 10.14740/jocmr3603w..
Keywords: Adverse Events, Ambulatory Care and Surgery, Healthcare-Associated Infections (HAIs), Patient Safety, Quality Improvement, Surgery
Skube SJ, Hu Z, Arsoniadis EG
Characterizing surgical site infection signals in clinical notes.
Building off of previous work for automated and semi-automated surgical site infections (SSIs) detection using expert-derived "strong features" from clinical notes, researchers hypothesized that additional SSI phrases may be contained in clinical notes. They systematically characterized phrases and expressions associated with SSIs. While 83 percent of expert-derived original terms overlapped with new terms and modifiers, an additional 362 modifiers associated with both positive and negative SSI signals were identified.
AHRQ-funded; HS024532.
Citation: Skube SJ, Hu Z, Arsoniadis EG .
Characterizing surgical site infection signals in clinical notes.
Stud Health Technol Inform 2017;245:955-59.
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Keywords: Healthcare-Associated Infections (HAIs), Surgery, Injuries and Wounds, Patient Safety, Adverse Events, Quality Improvement, Quality of Care
Hu Z, Melton GB, Arsoniadis EG
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
Proper handling of missing data is important for many secondary uses of electronic health record (EHR) data. Data imputation methods can be used to handle missing data, but their use for postoperative complication detection is unclear. Overall, models with missing data imputation almost always outperformed reference models without imputation that included only cases with complete data for detection of SSI overall achieving very good average area under the curve values.
AHRQ-funded; HS024532.
Citation: Hu Z, Melton GB, Arsoniadis EG .
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
J Biomed Inform 2017 Apr;68:112-20. doi: 10.1016/j.jbi.2017.03.009.
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Keywords: Data, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Registries, Surgery, Injuries and Wounds, Health Information Technology (HIT), Quality Improvement, Quality of Care, Adverse Events
Cocoros NM, Priebe GP, Logan LK
A pediatric approach to ventilator-associated events surveillance.
The authors propose pediatric ventilator-associated conditions (VAC) for surveillance related to antimicrobial use, with pediatric possible ventilator-associated pneumonia (PVAP) as a subset of adult ventilator-associated conditions (AVAC). Studies on generalizability and responsiveness of these metrics to quality improvement initiatives are needed, as are studies to determine whether lower pediatric ventilator-associated event (VAE) rates are associated with improvements in other outcomes.
AHRQ-funded; HS021636.
Citation: Cocoros NM, Priebe GP, Logan LK .
A pediatric approach to ventilator-associated events surveillance.
Infect Control Hosp Epidemiol 2017 Mar;38(3):327-33. doi: 10.1017/ice.2016.277.
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Keywords: Adverse Events, Children/Adolescents, Healthcare-Associated Infections (HAIs), Intensive Care Unit (ICU), Quality Improvement
Fakih MG, Krein SL, Edson B
AHRQ Author: Battles JB
Engaging health care workers to prevent catheter-associated urinary tract infection and avert patient harm.
This article discusses catheter-associated urinary tract infection (CAUTI) prevention efforts, describes the national collaboration between different organizations, briefly reviews the technical and socio-adaptive components of the program, and specifically describes an approach to engaging health care workers as an essential part of CAUTI prevention and averting patient harm.
AHRQ-authored; AHRQ-funded; 290201000025I; 29032001T
Citation: Fakih MG, Krein SL, Edson B .
Engaging health care workers to prevent catheter-associated urinary tract infection and avert patient harm.
Am J Infect Control. 2014 Oct;42(10 Suppl):S223-9. doi: 10.1016/j.ajic.2014.03.355..
Keywords: Adverse Events, Catheter-Associated Urinary Tract Infection (CAUTI), Healthcare-Associated Infections (HAIs), Patient Safety, Prevention, Practice Patterns, Quality Improvement