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AHRQ Research Studies Date
Topics
- Adverse Events (2)
- Children/Adolescents (1)
- Electronic Health Records (EHRs) (1)
- Health Information Technology (HIT) (1)
- Hospitalization (1)
- Hospital Readmissions (1)
- (-) Hospitals (4)
- Medical Errors (1)
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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 4 of 4 Research Studies DisplayedKaiser SV, Lam R, Joseph GB
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
Researcher sought to determine if a National Quality Forum (NQF)-endorsed measure for pediatric lower respiratory illness (LRI) 30-day readmission rates can meaningfully identify high- and low-performing hospitals. Subjects were children with LRI (bronchiolitis, influenza, or pneumonia as primary diagnosis, or with an LRI as a secondary diagnosis with a primary diagnosis of respiratory failure, sepsis, bacteremia, or asthma) from all hospital admissions in California from 2012 to 2014. The researchers were unable to identify meaningful variation in hospital performance without broadening the metric definition and merging multiple years of data. They recommend that utilizers of pediatric-quality measures consider modifying metrics to better evaluate the quality of pediatric care at low-volume hospitals.
AHRQ-funded; HS024385; HS022835; HS024592; HS025297.
Citation: Kaiser SV, Lam R, Joseph GB .
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
J Hosp Med 2018 Nov;13(11):737-42. doi: 10.12788/jhm.2988..
Keywords: Children/Adolescents, Respiratory Conditions, Provider Performance, Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care, Quality Improvement
McMahon LF, Jr., Howell JD
The hospital: still the doctors' workplace(s) - a cautionary note for approaches to safety and value improvement.
The authors discuss a study by Shahian et al. exploring an important concept: What is the relationship between global hospital safety indicators and specific hospital-level clinical outcomes? They insist that studies assessing hospital quality, safety, and outcomes also address the multiproduct nature of hospital outcomes, operations, safety, and quality.
AHRQ-funded; HS018334.
Citation: McMahon LF, Jr., Howell JD .
The hospital: still the doctors' workplace(s) - a cautionary note for approaches to safety and value improvement.
Health Serv Res 2018 Apr;53(2):601-07. doi: 10.1111/1475-6773.12780.
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Keywords: Hospitals, Outcomes, Quality Indicators (QIs), Quality Improvement
Bhise V, Sittig DF, Vaghani V
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
Researchers refined the methods of the Institute of Healthcare Improvement's Global Trigger Tool application and leveraged electronic health record data to improve detection of preventable adverse events, including diagnostic errors. In the studied sample, preventable adverse events were identified, including adverse drug events, patient falls, procedure-related complications, and hospital-associated infections. The authors concluded that such e-triggers can help overcome limitations of currently available methods to detect preventable harm in hospitalized patients.
AHRQ-funded; HS022087; HS023602.
Citation: Bhise V, Sittig DF, Vaghani V .
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
BMJ Qual Saf 2018 Mar;27(3):241-46. doi: 10.1136/bmjqs-2017-006975..
Keywords: Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Patient Safety, Prevention, Quality of Care, Quality Improvement, Quality Indicators (QIs)
O'Leary KJ, Devisetty VK, Patel AR
Comparison of traditional trigger tool to data warehouse based screening for identifying hospital adverse events.
This study compared a traditional trigger tool with an enterprise data warehouse (EDW) based screening method to detect hospital adverse events (AEs). The authors found relatively poor agreement between traditional trigger tool and EDW based screening with only approximately a third of all AEs detected by both methods. They recommended a combination of complementary methods as the optimal approach to detecting AEs among hospitalized patients.
AHRQ-funded; HS019630.
Citation: O'Leary KJ, Devisetty VK, Patel AR .
Comparison of traditional trigger tool to data warehouse based screening for identifying hospital adverse events.
BMJ Qual Saf 2013 Feb;22(2):130-8. doi: 10.1136/bmjqs-2012-001102.
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Keywords: Adverse Events, Hospitals, Medical Errors, Patient Safety, Quality Indicators (QIs)