National Healthcare Quality and Disparities Report
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Topics
- Cardiovascular Conditions (2)
- Electronic Health Records (EHRs) (2)
- (-) Evidence-Based Practice (2)
- (-) Health Information Technology (HIT) (2)
- (-) Heart Disease and Health (2)
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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 2 of 2 Research Studies DisplayedKnierim 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)
Cykert S, DeWalt DA, Weiner BJ
A population approach using cholesterol imputation to identify adults with high cardiovascular risk: a report from AHRQ's EvidenceNow initiative.
Investigators estimated cholesterol scores for patients between the ages of 40 and 79 in large practice electronic health networks who did not have that in their electronic health record (EHR). This data was used to calculate 10-year Assessment of Cardiovascular Disease Risk (ASCVD) risk scores for patients in 219 practices. They estimated the scores using both “good value’ estimation methodology and formal imputation. The “good value” estimation methodology resulted in less patients with risk scores than imputation but it had higher specificity and a lower false positive rate.
AHRQ-funded; HS023912.
Citation: Cykert S, DeWalt DA, Weiner BJ .
A population approach using cholesterol imputation to identify adults with high cardiovascular risk: a report from AHRQ's EvidenceNow initiative.
J Am Med Inform Assoc 2019 Feb;26(2):155-58. doi: 10.1093/jamia/ocy151..
Keywords: Cardiovascular Conditions, Electronic Health Records (EHRs), Heart Disease and Health, Evidence-Based Practice, Health Information Technology (HIT), Patient-Centered Outcomes Research, Quality Improvement