National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Cardiovascular Conditions (3)
- Clinical Decision Support (CDS) (1)
- Electronic Health Records (EHRs) (4)
- (-) Evidence-Based Practice (5)
- (-) Health Information Technology (HIT) (5)
- Heart Disease and Health (1)
- Patient-Centered Outcomes Research (1)
- Prevention (1)
- (-) Primary Care (5)
- Provider Performance (1)
- Quality Improvement (2)
- Quality Indicators (QIs) (2)
- Quality Measures (3)
- Quality of Care (4)
- Tobacco Use (1)
- Tobacco Use: Smoking Cessation (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 5 of 5 Research Studies DisplayedRoberts MM, Marino M, Wells R
Differences in use of clinical decision support tools and implementation of aspirin, blood pressure control, cholesterol management, and smoking cessation quality metrics in small practices by race and sex.
The objective of this cross-sectional study was to evaluate the association between population-based clinical decision support (CDS) tools and racial and sex disparities in the aspirin use, blood pressure control, cholesterol management, and smoking cessation (ABCS) care quality metrics among smaller primary care practices. Researchers used practice-level data from the EvidenceNOW initiative, from practices that submitted both survey data and electronic health record (EHR)-derived ABCS data stratified by race and sex. Their findings suggested that practices using CDS tools had small disparities but were not statistically significant; however, CDS tools were not associated with reductions in disparities. They concluded that more research was needed on effective practice-level interventions to mitigate disparities.
AHRQ-funded; HS023940.
Citation: Roberts MM, Marino M, Wells R .
Differences in use of clinical decision support tools and implementation of aspirin, blood pressure control, cholesterol management, and smoking cessation quality metrics in small practices by race and sex.
JAMA Netw Open 2023 Aug; 6(8):e2326905. doi: 10.1001/jamanetworkopen.2023.26905..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Cardiovascular Conditions, Tobacco Use, Tobacco Use: Smoking Cessation, Primary Care, Evidence-Based Practice, Prevention
Richardson JE, Rasmussen LV, Dorr DA
Generating and reporting electronic clinical quality measures from electronic health records: strategies from EvidenceNOW cooperatives.
This study’s goal was to characterize strategies that seven regional cooperatives participating in the EvidenceNOW initiative developed to generate and report electronic health record (EHR)-based electronic clinical quality measures (eCQMs) for quality improvement (QI) in small-to-medium-sized practices. Findings showed that cooperatives ultimately generated and reported eCQMs using hybrid strategies because they determined that neither EHRs alone nor centralized sources alone could operationalize eCQMs for QI. In order to attain this goal, cooperatives needed to devise solutions and utilize resources that often are unavailable to typical small-to-medium-sized practices.
AHRQ-funded; HS023921.
Citation: Richardson JE, Rasmussen LV, Dorr DA .
Generating and reporting electronic clinical quality measures from electronic health records: strategies from EvidenceNOW cooperatives.
Appl Clin Inform 2022 Mar;13(2):485-94. doi: 10.1055/s-0042-1748145..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Measures, Quality of Care, Evidence-Based Practice, Primary Care
Homco J, Carabin H, Nagykaldi Z
Validity of medical record abstraction and electronic health record-generated reports to assess performance on cardiovascular quality measures in primary care.
The purpose of this study was to compare observed performance scores measured using 2 imperfect reference standard data sources with misclassification-adjusted performance scores obtained using bayesian latent class analysis. Using aspirin, blood pressure, and smoking performance data from the Healthy Hearts for Oklahoma Project, researchers found that extracting information for the same individuals using different data sources generated different performance score estimates. Recommendations included further research to identify the sources of these differences.
AHRQ-funded; HS023919.
Citation: Homco J, Carabin H, Nagykaldi Z .
Validity of medical record abstraction and electronic health record-generated reports to assess performance on cardiovascular quality measures in primary care.
JAMA Netw Open 2020 Jul;3(7):e209411. doi: 10.1001/jamanetworkopen.2020.9411..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Cardiovascular Conditions, Quality Measures, Quality of Care, Primary Care, Provider Performance, Evidence-Based Practice
Knierim KE, Hall TL, Dickinson LM
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
The objective of this study was to determine how quickly primary care practices can report electronic clinical quality measures (eCQMs) and to identify the practice characteristics associated with faster reporting. Examining the EvidenceNOW Southwest initiative, the researchers’ results showed that the time to report eCQMs varied by measure and practice type, with very few practices reporting quickly. Additional support for practices to succeed in new programs that require eCQM reporting was recommended.
AHRQ-funded; HS023904.
Citation: Knierim KE, Hall TL, Dickinson LM .
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
JAMA Netw Open 2019 Aug 2;2(8):e198569. doi: 10.1001/jamanetworkopen.2019.8569..
Keywords: Primary Care, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care, Heart Disease and Health, Cardiovascular Conditions, Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT)
Hemler JR, Hall JD, Cholan RA
Practice facilitator strategies for addressing electronic health record data challenges for quality improvement: EvidenceNOW.
In this paper, the authors describe the strategies facilitators use to help practices perform quality improvement (QI) when complete or accurate performance data are not available. The investigators found facilitators faced practice-level EHR data challenges, such as a lack of clinical performance data, partial or incomplete clinical performance data, and inaccurate clinical performance data.
AHRQ-funded; HS023940.
Citation: Hemler JR, Hall JD, Cholan RA .
Practice facilitator strategies for addressing electronic health record data challenges for quality improvement: EvidenceNOW.
J Am Board Fam Med 2018 May-Jun;31(3):398-409. doi: 10.3122/jabfm.2018.03.170274..
Keywords: Electronic Health Records (EHRs), Quality Improvement, Evidence-Based Practice, Health Information Technology (HIT), Primary Care, Quality of Care