National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Behavioral Health (1)
- Cancer (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Clinical Decision Support (CDS) (2)
- Comparative Effectiveness (1)
- Depression (1)
- Diagnostic Safety and Quality (1)
- (-) Electronic Health Records (EHRs) (8)
- Evidence-Based Practice (2)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (6)
- Hospital Readmissions (1)
- Human Immunodeficiency Virus (HIV) (1)
- Kidney Disease and Health (1)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- (-) Patient-Centered Outcomes Research (8)
- Prevention (1)
- Quality Improvement (2)
- Quality of Care (1)
- Registries (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 DisplayedColey RY, Boggs JM, Beck A
Predicting outcomes of psychotherapy for depression with electronic health record data.
This study evaluated models for predicting outcomes of psychotherapy for depression in a clinical practice setting. Findings showed that prediction models did not accurately predict depression treatment outcomes despite using rich electronic health record data and advanced analytic techniques. Recommendations included caution when considering prediction models for psychiatric outcomes using baseline intake information and transparent research to evaluate performance of any model intended for clinical use.
AHRQ-funded; HS026369.
Citation: Coley RY, Boggs JM, Beck A .
Predicting outcomes of psychotherapy for depression with electronic health record data.
J Affect Disord Rep 2021 Dec;6:100198. doi: 10.1016/j.jadr.2021.100198..
Keywords: Depression, Behavioral Health, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research, Outcomes
Jiang G, Dhruva SS, Chen J
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: a fit-for-purpose informatics analysis report.
This study sought to conduct an informatics analysis on the National Evaluation System for Health Technology Coordinating Center test case of cardiac ablation catheters and to demonstrate the role of informatics approaches in the feasibility assessment of capturing real-world data using unique device identifiers that are fit for purpose for label extensions for 2 cardiac ablation catheters from the electronic health records and other health information technology systems in a multicenter evaluation. Findings demonstrated that the informatics approaches can be feasibly used to capture safety and effectiveness outcomes in real-world data for use in medical device studies supporting label extensions.
AHRQ-funded; HS022882; HS025164.
Citation: Jiang G, Dhruva SS, Chen J .
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: a fit-for-purpose informatics analysis report.
https://www.pubmed.ncbi.nlm.nih.gov/34313748.
Keywords: Health Information Technology (HIT), Patient-Centered Outcomes Research, Electronic Health Records (EHRs)
Hernandez-Boussard T, Blayney DW, Brooks JD
Leveraging digital data to inform and improve quality cancer care.
Efficient capture of routine clinical care and patient outcomes is needed at a population-level, as is evidence on important treatment-related side effects and their effect on well-being and clinical outcomes. The increasing availability of electronic health records (EHR) offers new opportunities to generate population-level patient-centered evidence on oncologic care that can better guide treatment decisions and patient-valued care. This study discussed how to leverage digital data to inform and improve quality cancer care.
AHRQ-funded; R01 HS024096.
Citation: Hernandez-Boussard T, Blayney DW, Brooks JD .
Leveraging digital data to inform and improve quality cancer care.
Cancer Epidemiol Biomarkers Prev 2020 Apr;29(4):816-22. doi: 10.1158/1055-9965.Epi-19-0873..
Keywords: Cancer, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Evidence-Based Practice
Liss DT, Peprah YA, Brown T
Using electronic health records to measure quality improvement efforts: findings from a large practice facilitation initiative.
This study described primary care practices' ability to obtain measures with reporting periods aligning with a large quality improvement initiative. Facilitators reported barriers to data collection such as practices lacking optional EHR features, and EHRs' inability to produce reporting periods across two calendar years. The authors conclude that EHR vendors' compliance with federal reporting requirements is not necessarily sufficient to support real-world quality improvement work. They recommended improvements in the flexibility and usability of EHRs' quality measurement functions, particularly for smaller practices.
AHRQ-funded; HS023921.
Citation: Liss DT, Peprah YA, Brown T .
Using electronic health records to measure quality improvement efforts: findings from a large practice facilitation initiative.
Jt Comm J Qual Patient Saf 2020 Jan;46(1):11-17. doi: 10.1016/j.jcjq.2019.09.006..
Keywords: Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
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)