National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Ambulatory Care and Surgery (1)
- Cardiovascular Conditions (1)
- Children's Health Insurance Program (CHIP) (1)
- Clinical Decision Support (CDS) (1)
- (-) Electronic Health Records (EHRs) (10)
- Evidence-Based Practice (2)
- Health Information Technology (HIT) (9)
- Heart Disease and Health (1)
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- Hospital Readmissions (1)
- Hospitals (4)
- Patient-Centered Outcomes Research (1)
- Patient Safety (3)
- Payment (1)
- Prevention (1)
- Primary Care (4)
- Primary Care: Models of Care (1)
- Provider Performance (2)
- Quality Improvement (4)
- (-) Quality Indicators (QIs) (10)
- Quality Measures (5)
- Quality of Care (7)
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 10 of 10 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
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
Classen DC, Holmgren AJ, Co Z
National trends in the safety performance of electronic health record systems from 2009 to 2018.
This study examined trends in the safety performance of electronic health records (EHRs) in hospitals from 2009 to 2018. The Leapfrog Health IT Safety Measure test was administered by the Leapfrog Group from July 2018 to December 1, 2019. Overall mean performance scores increased from 53.9% in 2009 to 65.6% in 2018. Mean hospital scores for categories representing basic clinical decision support increased from 69.8% in 2009 to 85.6% in 2018. Advanced decision clinical support also increased from 29.5% in 2009 to 46.1%. These results showed great improvement, but there is still substantial safety risk in current hospital EHR systems.
AHRQ-funded; HS023696.
Citation: Classen DC, Holmgren AJ, Co Z .
National trends in the safety performance of electronic health record systems from 2009 to 2018.
JAMA Netw Open 2020 May;3(5):e205547. doi: 10.1001/jamanetworkopen.2020.5547..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Patient Safety, Quality Measures, Clinical Decision Support (CDS), Quality Indicators (QIs)
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
Khoong EC, Cherian R, Rivadeneira NA
Accurate measurement In California's safety-net health systems has gaps and barriers.
The purpose of this study was to measure California’s pay-for-performance program in safety-net hospitals. Results showed both suboptimal performance in aspects of ambulatory safety and questionable reliability in data reporting. Health care systems that lack seamlessly integrated electronic health records and patient registries encountered barriers to reporting reliable ambulatory safety data, precluding accurate performance measurement in many areas. The authors recommended that policymakers and safety advocates support the development of information systems and measures that facilitate the accurate ascertainment of the health systems, patients, and clinical tasks at greatest risk for ambulatory safety failures.
AHRQ-funded; HS024412; HS024426.
Citation: Khoong EC, Cherian R, Rivadeneira NA .
Accurate measurement In California's safety-net health systems has gaps and barriers.
Health Aff 2018 Nov;37(11):1760-69. doi: 10.1377/hlthaff.2018.0709..
Keywords: Ambulatory Care and Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Provider Performance, Quality Indicators (QIs), Payment
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
Bailey LC, Mistry KB, Tinoco A
AHRQ Author: Mistry KB
Addressing electronic clinical information in the construction of quality measures.
The authors draw on the experience of Centers of Excellence to review both structural and pragmatic considerations in e-measurement. They suggest that addressing these challenges will require investment by vendors, researchers, and clinicians alike in developing better pediatric content for standard terminologies and data models, encouraging wider adoption of technical standards that support reliable quality measurement, better harmonizing data collection with clinical work flow in EHRs, and better understanding the behavior and potential of e-measures.
AHRQ-authored.
Citation: Bailey LC, Mistry KB, Tinoco A .
Addressing electronic clinical information in the construction of quality measures.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S82-9. doi: 10.1016/j.acap.2014.06.006.
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Keywords: Children's Health Insurance Program (CHIP), Electronic Health Records (EHRs), Quality Improvement, Quality Indicators (QIs), Quality Measures