National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (3)
- Ambulatory Care and Surgery (2)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Central Line-Associated Bloodstream Infections (CLABSI) (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (1)
- Clostridium difficile Infections (2)
- Communication (1)
- Data (1)
- Diagnostic Safety and Quality (1)
- (-) Electronic Health Records (EHRs) (12)
- Evidence-Based Practice (1)
- (-) Healthcare-Associated Infections (HAIs) (12)
- Health Information Technology (HIT) (11)
- Hospitals (1)
- Implementation (1)
- Infectious Diseases (1)
- Injuries and Wounds (3)
- Nursing (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (4)
- Pressure Ulcers (1)
- Public Health (1)
- Quality Improvement (3)
- Quality of Care (3)
- Registries (1)
- Respiratory Conditions (1)
- Risk (2)
- Shared Decision Making (1)
- Surgery (6)
- Urinary Tract Infection (UTI) (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 12 of 12 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
Thate JA, Couture B, Schnock KO
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
It is clear that interdisciplinary communication and collaboration have the potential to mitigate healthcare-associated harm, yet there is limited research on how communication through documentation in the patient record can support collaborative decision making. Understanding what information is needed to support collaborative decision making is necessary to design electronic health information systems that facilitate effective communication and, ultimately, safe care. To explore this issue, the investigators focused on information needs related to central venous catheter management and the prevention of central line-associated blood stream infections.
AHRQ-funded; HS0235335.
Citation: Thate JA, Couture B, Schnock KO .
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
Comput Inform Nurs 2020 Nov 2;39(4):208-14. doi: 10.1097/cin.0000000000000683..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Shared Decision Making, Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Bucher BT, Shi J, Ferraro JP
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
The authors presented the development and validation of a portable natural language processing (NLP) approach for automated surveillance of surgical site infections (SSIs). Patient clinical text notes from EHRs following surgical procedures from two independent healthcare systems were abstracted. The authors found that automated surveillance of SSIs can be achieved using NLP of clinical notes with high sensitivity and specificity.
AHRQ-funded; HS025776.
Citation: Bucher BT, Shi J, Ferraro JP .
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
Ann Surg 2020 Oct;272(4):629-36. doi: 10.1097/sla.0000000000004133..
Keywords: Surgery, Healthcare-Associated Infections (HAIs), Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Flores EJ, Jue JJ, Giradi G
AHRQ EPC series on Improving translation of evidence: use of a clinical pathway for C. difficile treatment to facilitate the translation of research findings into practice.
In this pilot study, findings from the 2016 AHRQ EPC report on Clostridioides difficile infection were translated into a treatment pathway and disseminated via a cloud-based platform and electronic health record (EHR). Results indicated that pathways can be an approach for disseminating AHRQ EPC report findings within health care systems, with reports including guideline and pathway syntheses. Embedding hyperlinks to pathway content within the EHR may be a viable and low-effort solution for promoting awareness of evidence-based resources.
AHRQ-funded.
Citation: Flores EJ, Jue JJ, Giradi G .
AHRQ EPC series on Improving translation of evidence: use of a clinical pathway for C. difficile treatment to facilitate the translation of research findings into practice.
Jt Comm J Qual Patient Saf 2019 Dec;45(12):822-28. doi: 10.1016/j.jcjq.2019.10.002..
Keywords: Implementation, Evidence-Based Practice, Infectious Diseases, Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Electronic Health Records (EHRs), Health Information Technology (HIT)
Ji W, McKenna C, Ochoa A
Development and assessment of objective surveillance definitions for nonventilator hospital-acquired pneumonia.
The authors sought to propose and assess potentially objective, efficient, and reproducible surveillance definitions for non-ventilator hospital-acquired pneumonia (NV-HAP) using routine clinical data stored in electronic health record systems. They found that objective surveillance for NV-HAP using electronically computable definitions that incorporate common clinical criteria is feasible and generates incidence, mortality, and adjusted odds ratios for hospital mortality similar to estimates from manual surveillance. They concluded that these definitions have the potential to facilitate widespread, automated surveillance for NV-HAP and thus inform the development and evaluation of prevention programs.
AHRQ-funded; HS025008.
Citation: Ji W, McKenna C, Ochoa A .
Development and assessment of objective surveillance definitions for nonventilator hospital-acquired pneumonia.
JAMA Netw Open 2019 Oct 2;2(10):e1913674. doi: 10.1001/jamanetworkopen.2019.13674..
Keywords: Healthcare-Associated Infections (HAIs), Hospitals, Respiratory Conditions, Public Health, Electronic Health Records (EHRs), Health Information Technology (HIT)
Colborn KL, Bronsert M, Amioka E
Identification of surgical site infections using electronic health record data.
The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variables from electronic health record data and outcomes from the American College of Surgeons National Surgical Quality Improvement Program to supplement manual chart review. The investigators concluded that they identified a model that accurately identified SSIs. They indicated that the framework presented can be easily implemented by other American College of Surgeons National Surgical Quality Improvement Program-participating hospitals to develop models for enhancing surveillance of SSIs.
AHRQ-funded; HS026019.
Citation: Colborn KL, Bronsert M, Amioka E .
Identification of surgical site infections using electronic health record data.
Am J Infect Control 2018 Nov;46(11):1230-35. doi: 10.1016/j.ajic.2018.05.011..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Injuries and Wounds, Patient Safety, Surgery
Karavite DJ, Miller MW, Ramos MJ
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network. Electronic health records (EHRs) impose an inefficient search process. Using text mining and business intelligence software, the authors developed an information foraging application, the SSI Workbench, to visually present which postsurgical encounters included SSI-related terms and synonyms, antibiotic, and culture orders. This study compares the Workbench and EHR.
AHRQ-funded; HS020921.
Citation: Karavite DJ, Miller MW, Ramos MJ .
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Appl Clin Inform 2018 Oct;9(4):791-802. doi: 10.1055/s-0038-1675179..
Keywords: Surgery, Ambulatory Care and Surgery, Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient Safety
Grundmeier RW, Xiao R, Ross RK
Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, et al. Identifying surgical site infections in electronic health data using predictive models,.
The objective of this study was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery. The investigators concluded that electronic health record data can facilitate SSI surveillance with adequate sensitivity and positive predictive value.
AHRQ-funded; HS020921.
Citation: Grundmeier RW, Xiao R, Ross RK .
Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, et al. Identifying surgical site infections in electronic health data using predictive models,.
J Am Med Inform Assoc 2018 Sep;25(9):1160-66. doi: 10.1093/jamia/ocy075..
Keywords: Healthcare-Associated Infections (HAIs), Injuries and Wounds, Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Risk, Patient Safety, Adverse Events, Ambulatory Care and Surgery
Harris AD, Sbarra AN, Leekha S
Electronically available comorbid conditions for risk prediction of healthcare-associated Clostridium difficile infection.
This study analyzed whether electronically available comorbid conditions are risk factors for Centers for Disease Control and Prevention (CDC)-defined, hospital-onset Clostridium difficile infection (CDI) after controlling for antibiotic and gastric acid suppression therapy use. It concluded that comorbid conditions are important risk factors for CDI.
AHRQ-funded; HS022291.
Citation: Harris AD, Sbarra AN, Leekha S .
Electronically available comorbid conditions for risk prediction of healthcare-associated Clostridium difficile infection.
Infect Control Hosp Epidemiol 2018 Mar;39(3):297-301. doi: 10.1017/ice.2018.10.
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Keywords: Clostridium difficile Infections, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Patient Safety, Risk
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
Padula WV, Gibbons RD, Pronovost PJ
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model.
Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6 percent, are costly to treat, and result in Medicare reimbursement penalties. The study’s objective was to use electronic health records to predict pressure ulcers and to identify coding issues leading to penalties. Its analysis identified spinal cord injuries as high risk for HAPUs and as being often inappropriately coded without paralysis.
AHRQ-funded; HS023710.
Citation: Padula WV, Gibbons RD, Pronovost PJ .
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model.
J Am Med Inform Assoc 2017 Apr 1;24(e1):e95-e102. doi: 10.1093/jamia/ocw118.
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Keywords: Pressure Ulcers, Healthcare-Associated Infections (HAIs), Electronic Health Records (EHRs), Health Information Technology (HIT)
Baillie CA, Epps M, Hanish A
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
The researchers evaluated the usability and effectiveness of a computerized clinical decision support (CDS) intervention aimed at reducing the duration of urinary tract catheterizations. They found that usability improved to 15% with the revised reminder. The catheter utilization ratio declined over the 3 time periods, as did CAUTIs per 1,000 patient-days. They concluded that the usability of the reminder was highly dependent on its user interface, with a homegrown version of the reminder resulting in higher impact than a stock reminder.
AHRQ-funded; HS016946.
Citation: Baillie CA, Epps M, Hanish A .
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
Infect Control Hosp Epidemiol 2014 Sep;35(9):1147-55. doi: 10.1086/677630.
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Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient-Centered Outcomes Research, Urinary Tract Infection (UTI)