National Healthcare Quality and Disparities Report
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- Cardiovascular Conditions (2)
- Electronic Health Records (EHRs) (6)
- (-) Evidence-Based Practice (8)
- (-) Health Information Technology (HIT) (8)
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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 8 of 8 Research Studies DisplayedRichardson 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
Businger AC, Fuller TE, Schnipper JL
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
This paper describes the challenges, recommendations and lessons learned while developing and implementing a Patient Safety Learning Laboratory (PSLL) project, which is comprised of a suite of HIT tools integrated with a newly implemented Electronic Health Record (EHR) vendor system in the acute care setting of a large academic medical center. The PSLL Administrative Core engaged stakeholders and study personnel throughout all phases of the project. Challenges to implementation included stakeholder engagement, project scope and complexity, technology and governance, and team structure. Some changes were implemented during the trial and others were labeled as lessons learned for future iterative interventions. A willingness to think outside of current workflows and processes to change health system culture around adverse event prevention was one of the keys to success.
AHRQ-funded; HS023535.
Citation: Businger AC, Fuller TE, Schnipper JL .
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
J Am Med Inform Assoc 2020 Feb;27(2):301-07. doi: 10.1093/jamia/ocz193.
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Keywords: Patient Safety, Implementation, Health Information Technology (HIT), Quality Improvement, Quality of Care, Patient-Centered Healthcare, Electronic Health Records (EHRs), 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
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
Rangachari P
Innovation implementation in the context of hospital QI: lessons learned and strategies for success.
This paper conducts an integrative review of the literature on "innovation implementation" in hospitals and health systems over the last decade, since the spotlight was cast on "innovation implementation failure" in health care organizations (HCOs). It summarizes the lessons learned from the literature, discusses the relevance of management research on innovation implementation in HCOs, and identifies future research avenues.
AHRQ-funded; HS024335.
Citation: Rangachari P .
Innovation implementation in the context of hospital QI: lessons learned and strategies for success.
Innov Entrep Health 2018;5:1-14. doi: 10.2147/ieh.s151040.
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Keywords: Evidence-Based Practice, Health Systems, Health Information Technology (HIT), Implementation, Quality Improvement, Hospitals, Quality of Care
Eslami MH, Doros G, Goodney PP
Using vascular quality initiative as a platform for organizing multicenter, prospective, randomized clinical trials: OVERPAR trial.
The researchers describe the organization of a prospective, randomized, multicenter trial comparing the effectiveness of open popliteal artery aneurysm repair (OPAR) and endovascular popliteal artery aneurysm repair (EPAR) of asymptomatic popliteal artery aneurysms (PAAs) as an example for how to use the Vascular Quality Initiative (VQI) framework. They concluded that using the existing VQI infrastructure, Open versus Endovascular Repair of PAAs will provide level 1 data for PAA treatment on a modest budget.
AHRQ-funded; HS021581.
Citation: Eslami MH, Doros G, Goodney PP .
Using vascular quality initiative as a platform for organizing multicenter, prospective, randomized clinical trials: OVERPAR trial.
Ann Vasc Surg 2015 Feb;29(2):278-85. doi: 10.1016/j.avsg.2014.08.007..
Keywords: Quality of Care, Evidence-Based Practice, Health Information Technology (HIT)