National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Cardiovascular Conditions (1)
- Electronic Health Records (EHRs) (7)
- Evidence-Based Practice (2)
- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (8)
- Heart Disease and Health (1)
- Hospitalization (1)
- Hospital Readmissions (1)
- Hospitals (3)
- Patient-Centered Outcomes Research (1)
- Patient Safety (1)
- Prevention (1)
- Primary Care (4)
- Primary Care: Models of Care (1)
- Provider Performance (1)
- Quality Improvement (3)
- (-) Quality Indicators (QIs) (8)
- Quality Measures (4)
- (-) Quality of Care (8)
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
Holmgren AJ, Kuznetsova M, Classen D
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
The authors measured hospital performance, stratified by electronic health record (EHR) vendor, across 4 quality metrics. They found that no EHR vendor was associated with higher quality across all measures, and the 2 largest vendors were not associated with the highest scores. Only a small fraction of quality variation was explained by EHR vendor choice. They concluded that top performance on quality measures can be achieved with any EHR vendor, as much of quality performance is driven by the hospital and how it uses the EHR.
AHRQ-funded; HS023696.
Citation: Holmgren AJ, Kuznetsova M, Classen D .
Assessing hospital electronic health record vendor performance across publicly reported quality measures.
J Am Med Inform Assoc 2021 Sep 18;28(10):2101-07. doi: 10.1093/jamia/ocab120..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Measures, Hospitals, Quality of Care, Provider Performance
Palen TE, Peterson L, Palen TE
Clinical quality measure exchange is not easy.
The Trial of Aggregate Data Exchange for Maintenance of Certification and Raising Quality was a randomized controlled trial which first had to test whether quality reporting could be a by-product of clinical care. The investigators reported on the initial descriptive study of the capacity for and quality of exchange of whole-panel, standardized quality measures from health systems. They concluded that the secure transfer of standardized, physician-level quality measures from 4 health systems with mature measure processes proved difficult. There were many errors that required human intervention and manual repair, precluding full automation.
AHRQ-funded; HS022583.
Citation: Palen TE, Peterson L, Palen TE .
Clinical quality measure exchange is not easy.
Ann Fam Med 2021 May-Jun;19(3):207-11. doi: 10.1370/afm.2649..
Keywords: Quality Measures, Quality Indicators (QIs), Quality of Care, Health Information Exchange (HIE), Health Information Technology (HIT)
Elysee G, Yu H, Herrin J
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
A study was conducted to determine if there is an association of health information technology (HIT) adoption and a decrease in 30-day hospital readmission rates. Data was used from the 2013 American Hospital Association IT survey which included non-federal U.S. acute care hospitals with self-reported capabilities. A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis. A one-point increase in the hospital adoption of patient engagement capability latent scores generally leads to a 0.086% decrease in risk-standardized readmission rates (RSRRs). However, computerized hospital discharge and information exchange among clinicians did not seem as beneficial.
AHRQ-funded; HS022882.
Citation: Elysee G, Yu H, Herrin J .
Association between 30-day readmission rates and health information technology capabilities in US hospitals.
Medicine 2021 Feb 26;100(8):e24755. doi: 10.1097/md.0000000000024755..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions, Hospitals, Quality Indicators (QIs), 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)
Shah T, Patel-Teague S, Kroupa L
Impact of a national QI programme on reducing electronic health record notifications to clinicians.
In this study, the investigators evaluated the impact of a national, multicomponent, quality improvement (QI) programme designed to reduce low-value EHR notifications. The investigators found that, based on prior estimates on time to process notifications, this national QI programme potentially saved 1.5 hours per week per PCP to enable higher value work. The investigators also found that the number of daily notifications remained high, suggesting the need for additional multifaceted interventions and protected clinical time to help manage them.
AHRQ-funded; HS022087.
Citation: Shah T, Patel-Teague S, Kroupa L .
Impact of a national QI programme on reducing electronic health record notifications to clinicians.
BMJ Qual Saf 2019 Jan;28(1):10-14. doi: 10.1136/bmjqs-2017-007447..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Indicators (QIs), Quality Improvement, Quality of Care, Primary Care, Primary Care: Models of Care
Bhise V, Sittig DF, Vaghani V
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
Researchers refined the methods of the Institute of Healthcare Improvement's Global Trigger Tool application and leveraged electronic health record data to improve detection of preventable adverse events, including diagnostic errors. In the studied sample, preventable adverse events were identified, including adverse drug events, patient falls, procedure-related complications, and hospital-associated infections. The authors concluded that such e-triggers can help overcome limitations of currently available methods to detect preventable harm in hospitalized patients.
AHRQ-funded; HS022087; HS023602.
Citation: Bhise V, Sittig DF, Vaghani V .
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
BMJ Qual Saf 2018 Mar;27(3):241-46. doi: 10.1136/bmjqs-2017-006975..
Keywords: Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Patient Safety, Prevention, Quality of Care, Quality Improvement, Quality Indicators (QIs)
Ornstein SM, Nemeth LS, Nietert PJ
Learning from primary care meaningful use exemplars.
This report presents the results of a multimethod study combining an EHR-based clinical quality measurements (CQM) performance assessment, a provider survey, and focus groups among high CQM performers. It concluded that purposeful use of EHR functionality coupled with staff education in a milieu where Quality Improvement is valued and supported is associated with higher performance on CQM.
AHRQ-funded; HS022701; HS018984.
Citation: Ornstein SM, Nemeth LS, Nietert PJ .
Learning from primary care meaningful use exemplars.
J Am Board Fam Med 2015 May-Jun;28(3):360-70. doi: 10.3122/jabfm.2015.03.140219..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care, Quality Indicators (QIs), Quality of Care