National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Clinical Decision Support (CDS) (2)
- Comparative Effectiveness (3)
- Data (1)
- Diagnostic Safety and Quality (2)
- (-) Electronic Health Records (EHRs) (8)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (4)
- Health Systems (1)
- Hospitalization (1)
- Hospital Readmissions (2)
- Human Immunodeficiency Virus (HIV) (1)
- Kidney Disease and Health (1)
- Obesity (1)
- (-) Patient-Centered Outcomes Research (8)
- Prevention (1)
- Quality Improvement (1)
- Registries (1)
- Risk (1)
- 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 8 of 8 Research Studies DisplayedPantalone KM, Hobbs TM, Chagin KM
Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.
The purpose of the study was to determine the prevalence of obesity and its related comorbidities among patients being actively managed at a US academic medical centre, and to examine the frequency of a formal diagnosis of obesity. This cross-sectional summary from a large US integrated health system found that three out of every four patients had overweight or obesity based on BMI. Less than half of patients who were identified as having obesity according to BMI received a formal diagnosis via ICD-9 documentation.
AHRQ-funded; HS024128.
Citation: Pantalone KM, Hobbs TM, Chagin KM .
Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.
BMJ Open 2017 Nov 16;7(11):e017583. doi: 10.1136/bmjopen-2017-017583..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Systems, Obesity, Patient-Centered Outcomes Research
Ong TC, Kahn MG, Kwan BM
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
The researchers designed and implemented a health data transformation and loading approach, which we refer to as Dynamic ETL (Extraction, Transformation and Loading) (D-ETL), that automates part of the process through use of scalable, reusable and customizable code. Their results showed that ETL rule composition methods and the D-ETL engine offer a scalable solution for health data transformation via automatic query generation to harmonize source datasets.
AHRQ-funded; HS019908; HS022956.
Citation: Ong TC, Kahn MG, Kwan BM .
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
BMC Med Inform Decis Mak 2017 Sep 13;17(1):134. doi: 10.1186/s12911-017-0532-3.
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Keywords: Comparative Effectiveness, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research
Makam AN, Nguyen OK, Clark C
Incidence, predictors, and outcomes of hospital-acquired anemia.
This study examined the incidence, predictors, and postdischarge outcomes associated with hospital-acquired anemia (HAA). Most patients with severe HAA (85 percent) underwent a major procedure, had a discharge diagnosis of hemorrhage, and/or a discharge diagnosis of hemorrhagic disorder. Severe HAA is associated with increased odds for 30-day mortality and readmission after discharge; however, it is uncertain whether severe HAA is preventable.
AHRQ-funded; HS022418.
Citation: Makam AN, Nguyen OK, Clark C .
Incidence, predictors, and outcomes of hospital-acquired anemia.
J Hosp Med 2017 May;12(5):317-22. doi: 10.12788/jhm.2723
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Keywords: Electronic Health Records (EHRs), Hospital Readmissions, Hospitalization, Patient-Centered Outcomes Research, Risk
Goldstein SL
Automated/integrated real-time clinical decision support in acute kidney injury.
The author argues that early, real-time identification and notification to healthcare providers of patients at risk for, or with, acute or chronic kidney disease can drive simple interventions to reduce harm. Similarly, he believes that screening patients at risk for acute kidney injury with these platforms to alert research personnel will lead to improve study subject recruitment.
AHRQ-funded; HS023763; HS021114.
Citation: Goldstein SL .
Automated/integrated real-time clinical decision support in acute kidney injury.
Curr Opin Crit Care 2015 Dec;21(6):485-9. doi: 10.1097/mcc.0000000000000250.
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Keywords: Clinical Decision Support (CDS), Kidney Disease and Health, Electronic Health Records (EHRs), Patient-Centered Outcomes Research, Diagnostic Safety and Quality
Nijhawan AE, Kitchell E, Etherton SS
Half of 30-day hospital readmissions among HIV-infected patients are potentially preventable.
The researchers assessed whether readmissions among HIV-infected patients were potentially preventable using both published criteria and detailed chart review, how readmissions might have been prevented, and the phase of care deemed suboptimal (inpatient care, discharge planning, post-discharge). They found that among 130 individuals experiencing 30-day readmissions, about half were determined to be potentially preventable using published criteria (53 percent) or implicit chart review (48 percent).
AHRQ-funded; HS022418.
Citation: Nijhawan AE, Kitchell E, Etherton SS .
Half of 30-day hospital readmissions among HIV-infected patients are potentially preventable.
AIDS Patient Care STDS 2015 Sep;29(9):465-73. doi: 10.1089/apc.2015.0096..
Keywords: Human Immunodeficiency Virus (HIV), Hospital Readmissions, Electronic Health Records (EHRs), Patient-Centered Outcomes Research, Prevention
Marsolo K, Margolis PA, Forrest CB
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
The authors collaborated with the ImproveCareNow Network to create a proof-of-concept architecture for a network-based Learning Health System. This collaboration involved transitioning an existing registry to one that is linked to the electronic health record (EHR), enabling a “data in once” strategy. This required automating a series of reports that support care improvement while also demonstrating the use of observational registry data for comparative effectiveness research.
AHRQ-funded; HS020024; HS022974.
Citation: Marsolo K, Margolis PA, Forrest CB .
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
eGEMS 2015 Aug 17;3(1):1168. doi: 10.13063/2327-9214.1168..
Keywords: Electronic Health Records (EHRs), Registries, Patient-Centered Outcomes Research, Comparative Effectiveness, 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)
Zurovac J, Moreno L, Crosson J
Using multifactorial experiments for comparative effectiveness research in physician practices with electronic health record.
This paper identifies the opportunities for using efficient multifactorial designs and electronic health records (EHR) data to evaluate quality-improvement efforts in physician practices. It concludes that the use of efficient multifactor experimental designs, especially coupled with EHR data, has great promise for helping physician practices, hospitals, and other stakeholders conduct rapid-cycle comparative effectiveness research in order to assess alternative ways of implementing various aspects of care.
AHRQ-funded; HS022789.
Citation: Zurovac J, Moreno L, Crosson J .
Using multifactorial experiments for comparative effectiveness research in physician practices with electronic health record.
eGEMS 2013 Dec 30;1(3):1037. doi: 10.13063/2327-9214.1037..
Keywords: Patient-Centered Outcomes Research, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Comparative Effectiveness