National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Behavioral Health (1)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Clinical Decision Support (CDS) (1)
- Depression (1)
- (-) Electronic Health Records (EHRs) (3)
- Healthcare-Associated Infections (HAIs) (1)
- (-) Health Information Technology (HIT) (3)
- Outcomes (1)
- (-) Patient-Centered Outcomes Research (3)
- Urinary Tract Infection (UTI) (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 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)
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.
.
.
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)