National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- (-) Adverse Events (9)
- Blood Clots (1)
- Children/Adolescents (1)
- Communication (1)
- Diagnostic Safety and Quality (2)
- Electronic Health Records (EHRs) (1)
- Evidence-Based Practice (1)
- Guidelines (1)
- Healthcare-Associated Infections (HAIs) (3)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Health Information Technology (HIT) (2)
- Hospital Readmissions (1)
- Hospitals (2)
- Infectious Diseases (1)
- Injuries and Wounds (1)
- Labor and Delivery (1)
- Medical Errors (2)
- Medical Liability (1)
- Newborns/Infants (1)
- Outcomes (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (5)
- Pregnancy (1)
- Quality Improvement (5)
- Quality Indicators (QIs) (2)
- Quality Measures (2)
- (-) Quality of Care (9)
- Risk (1)
- Surgery (5)
- Teams (1)
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 9 of 9 Research Studies DisplayedShi J, Hurdle JF, Johnson SA
Natural language processing for the surveillance of postoperative venous thromboembolism.
The objective of the study was to develop a portal natural language processing approach to aid in the identification of postoperative venous thromboembolism events from free-text clinical notes. The investigators concluded that accurate surveillance of postoperative venous thromboembolism may be achieved using natural language processing on clinical notes in 2 independent health care systems. They indicated that these findings suggest natural language processing may augment manual chart abstraction for large registries such as National Surgical Quality Improvement Program.
AHRQ-funded; HS025776.
Citation: Shi J, Hurdle JF, Johnson SA .
Natural language processing for the surveillance of postoperative venous thromboembolism.
Surgery 2021 Oct;170(4):1175-82. doi: 10.1016/j.surg.2021.04.027..
Keywords: Blood Clots, Health Information Technology (HIT), Quality Improvement, Quality of Care, Surgery, Adverse Events
Zhu 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
Marshall TL, Ipsaro AJ, Le M
Increasing physician reporting of diagnostic learning opportunities.
This study investigated methods to improve physician reporting of diagnostic errors at the pediatric division of a hospital. In that pediatric hospital medicine (PHM) division only 1 diagnostic-related safety event was reported in the preceding 4 years. The authors aimed to improve attending physician reporting of suspected diagnostic errors from 0 to 2 per 100 PHM patient admissions within 6 months. The improvement team used the Model for Improvement and used the term diagnostic learning opportunity (DLO) with clinicians as opposed to diagnostic error to lessen the stigma. They developed an electronic reporting form and encouraged its use through reminders, scheduled reflection time, and monthly progress reports. Over the course of 13 weeks, there was an increase from 0 to 1.6 per patient admission reports files. Most events (66%) were true diagnostic errors.
AHRQ-funded; HS023827.
Citation: Marshall TL, Ipsaro AJ, Le M .
Increasing physician reporting of diagnostic learning opportunities.
Pediatrics 2021 Jan;147(1). doi: 10.1542/peds.2019-2400..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Hospitals, Quality Improvement, Quality of Care
Burstein PD, Zalenski DM, Edwards JL
Changing labor and delivery practice: focus on achieving practice and documentation standardization with the goal of improving neonatal outcomes.
The researchers established a multifactorial shoulder dystocia response and management protocol to promote sustainable practice change. In the first year, there was a threefold increase in shoulder dystocia reporting, which continued in years 2 and 3. In the first year, 96 percent of clinicians completed all training elements. Overall teams reached a 99 percent adoption rate of the shoulder dystocia protocol.
AHRQ-funded; HS019608.
Citation: Burstein PD, Zalenski DM, Edwards JL .
Changing labor and delivery practice: focus on achieving practice and documentation standardization with the goal of improving neonatal outcomes.
Health Serv Res 2016 Dec;51 Suppl 3:2472-86. doi: 10.1111/1475-6773.12589.
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Keywords: Labor and Delivery, Newborns/Infants, Adverse Events, Quality Improvement, Quality of Care, Patient Safety, Patient-Centered Outcomes Research, Outcomes, Guidelines, Evidence-Based Practice, Pregnancy, Teams
Gallagher TH, Farrell ML, Karson H
Collaboration with regulators to support quality and accountability following medical errors: The Communication and Resolution Program Certification Pilot.
The Medical Quality Assurance Commission (MQAC, board of medicine) in Washington State has collaborated with the Foundation for Health Care Quality (FHCQ) on the CRP Certification pilot. A panel of physicians, risk managers, and patient advocates at FHCQ will review cases for use of the CRP key elements. After describing the process, the authors concluded that the CRP Certification program is a promising example of collaboration among institutions, insurers, and regulators to promote patient-centered accountability and learning following adverse events.
AHRQ-funded; HS019531.
Citation: Gallagher TH, Farrell ML, Karson H .
Collaboration with regulators to support quality and accountability following medical errors: The Communication and Resolution Program Certification Pilot.
Health Serv Res 2016 Dec;51 Suppl 3:2569-82. doi: 10.1111/1475-6773.12557.
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Keywords: Adverse Events, Communication, Medical Errors, Medical Liability, Patient Safety, Quality of Care
Minami CA, Dahlke AR, Barnard C
Association between hospital characteristics and performance on the new hospital-acquired condition reduction program's surgical site infection measures.
This research letter evaluated the association between hospital characteristics and surgical site infection (SSI) measures. The authors found that hospitals with higher hospital quality summary scores were more frequently poor performers for SSI and had higher standardized infection ratios. Hospitals were more likely to be poor performers for colon SSI and hysterectomy SSI if they were a teaching hospital, safety-net hospital, or level I trauma center. Teaching hospitals were more likely to be poor performers for colorectal SSI, but the association was not as consistent for hysterectomy.
AHRQ-funded; HS021857.
Citation: Minami CA, Dahlke AR, Barnard C .
Association between hospital characteristics and performance on the new hospital-acquired condition reduction program's surgical site infection measures.
JAMA Surg 2016 Aug;151(8):777-9. doi: 10.1001/jamasurg.2016.0408.
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Keywords: Healthcare-Associated Infections (HAIs), Surgery, Injuries and Wounds, Adverse Events, Quality Measures, Hospitals, Quality of Care
Hernandez-Boussard TM, McDonald KM, Morrison DE
Risks of adverse events in colorectal patients: population-based study.
The authors sought to assess adverse events in colorectal surgical patients. They found important differential rates of adverse events by diagnostic category, with the highest odds ratio occurring in patients undergoing surgery for ischemic colitis.
AHRQ-funded; HS018558.
Citation: Hernandez-Boussard TM, McDonald KM, Morrison DE .
Risks of adverse events in colorectal patients: population-based study.
J Surg Res 2016 May 15;202(2):328-34. doi: 10.1016/j.jss.2016.01.013.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Adverse Events, Surgery, Patient Safety, Risk, Quality Indicators (QIs), Quality of Care, Quality Measures
Southern DA, Pincus HA, Romano PS
Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).
The authors presented recommendations made to the World Health Organization (WHO) by the ICD revision's Quality and Safety Topic Advisory Group (Q&S TAG) for a new conceptual approach to capturing healthcare-related harms and injuries in ICD-coded data. They concluded that this new framework for coding healthcare-related harm has great potential to improve the clinical detail of adverse event descriptions and the overall quality of coded health data.
AHRQ-funded; HS020543.
Citation: Southern DA, Pincus HA, Romano PS .
Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).
Int J Qual Health Care 2016 Feb;28(1):136-42. doi: 10.1093/intqhc/mzv099.
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Keywords: Adverse Events, Quality of Care, Patient Safety, Quality Indicators (QIs)