National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Arthritis (1)
- Blood Clots (1)
- Cardiovascular Conditions (2)
- Children's Health Insurance Program (CHIP) (1)
- Children/Adolescents (2)
- Clinical Decision Support (CDS) (1)
- Diabetes (1)
- (-) Electronic Health Records (EHRs) (18)
- Emergency Department (1)
- Evidence-Based Practice (3)
- Health Information Exchange (HIE) (1)
- Health Information Technology (HIT) (12)
- Heart Disease and Health (1)
- Hospitals (2)
- Medical Errors (1)
- Medication (2)
- Obesity (1)
- Obesity: Weight Management (1)
- Outcomes (1)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (2)
- Primary Care (4)
- Provider Performance (2)
- Quality Improvement (6)
- Quality Indicators (QIs) (5)
- (-) Quality Measures (18)
- Quality of Care (10)
- Registries (1)
- Vulnerable Populations (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 18 of 18 Research Studies DisplayedHuo T, Li Q, Cardel MI
AHRQ Author: Mistry K
Enhancing quality measurement with clinical information: a use case of body mass index change among children taking second generation antipsychotics.
The authors sought to examine the extent to which body mass index (BMI) was available in electronic health records for Florida Medicaid recipients aged 5 to 18 years taking Second-Generation Antipsychotics (SGAP). They concluded that meeting the 2030 CMS goal of digital monitoring of quality of care will require continuing expansion of clinical encounter data capture to provide the data needed for digital quality monitoring. Using linked electronic health records and claims data allows identifying children at higher risk for SGAP-induced weight gain.
AHRQ-authored; AHRQ-funded; HS025298.
Citation: Huo T, Li Q, Cardel MI .
Enhancing quality measurement with clinical information: a use case of body mass index change among children taking second generation antipsychotics.
Acad Pediatr 2022 Apr;22(3S):S140-S49. doi: 10.1016/j.acap.2021.11.012..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Obesity, Obesity: Weight Management, Quality Measures, Quality of Care
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
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
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
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)
Colin NV, Cholan RA, Sachdeva B
Understanding the impact of variations in measurement period reporting for electronic clinical quality measures.
The purpose of the study was to understand the impact of varying measurement period on the calculation of electronic Clinical Quality Measures (eCQMs). Variations in measurement periods were associated with variation in performance between clinics for 3 of the 4 eCQMs, but did not have significant differences when calculated within clinics. Variations from standard measurement periods may reflect poor data quality and accuracy.
AHRQ-funded; HS023908.
Citation: Colin NV, Cholan RA, Sachdeva B .
Understanding the impact of variations in measurement period reporting for electronic clinical quality measures.
eGEMS 2018 Jul 19;6(1):17. doi: 10.5334/egems.235..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Measures, Quality Improvement, Quality of Care
Deans KJ, Minneci PC, Nacion KM
Health care quality measures for children and adolescents in foster care: feasibility testing in electronic records.
The objective of the study is to identify healthcare quality measures for young children and adolescents in foster care and to test whether the data required to calculate these measures can be feasibly extracted and interpreted within an electronic health records or within the Statewide Automated Child Welfare Information System. It found that electronic health records and the Statewide System data frequently lacked important information on foster care youth essential for calculating the measures.
AHRQ-funded; HS020503.
Citation: Deans KJ, Minneci PC, Nacion KM .
Health care quality measures for children and adolescents in foster care: feasibility testing in electronic records.
BMC Pediatr 2018 Feb 22;18(1):79. doi: 10.1186/s12887-018-1064-4.
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Keywords: Children/Adolescents, Electronic Health Records (EHRs), Quality Measures, Vulnerable Populations
Tonner C, Schmajuk G, Yazdany J
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
This article reviews the evolution of quality measurement in rheumatology, highlighting new health-information technology infrastructure and standards that are enabling unprecedented innovation in this field. Its authors assert that quality measurement and improvement is increasingly an essential component of rheumatology practice. Advances in health information technology are likely to continue to make implementation of electronic clinical quality measures (eCQMs) easier and measurement more clinically meaningful and accurate in coming years.
AHRQ-funded; HS024412.
Citation: Tonner C, Schmajuk G, Yazdany J .
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
Curr Opin Rheumatol 2017 Mar;29(2):131-37. doi: 10.1097/bor.0000000000000364.
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Keywords: Quality Measures, Registries, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement
Yazdany J, Robbins M, Schmajuk G
Development of the American College of Rheumatology's rheumatoid arthritis electronic clinical quality measures.
The researchers sought to develop and test electronic clinical quality measures for rheumatoid arthritis. Disease activity assessment, functional status assessment, disease-modifying antirheumatic durg use, and tuberculosis screening measures have achieved national endorsement and are recommended for use in federal quality reporting programs.
AHRQ-funded; HS024412.
Citation: Yazdany J, Robbins M, Schmajuk G .
Development of the American College of Rheumatology's rheumatoid arthritis electronic clinical quality measures.
Arthritis Care Res 2016 Nov;68(11):1579-90. doi: 10.1002/acr.22984.
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Keywords: Electronic Health Records (EHRs), Medication, Quality Measures, Arthritis, Outcomes
Yazdany J, Myslinski R, Miller A
Methods for developing the American College of Rheumatology's electronic clinical quality measures.
The authors discuss the methodologic approach recommended by the American College of Rheumatology (ACR) to develop new electronic clinical quality measures (eCQMs) in priority areas. They recommend that the ACR’s eCQM development program evolve to address newly-identified gaps in care that are amenable to quality improvement and that input from rheumatologists continue to be a key ingredient for a measurement strategy that seeks not just to assess performance but to improve outcomes for patients.
AHRQ-funded; HS024412.
Citation: Yazdany J, Myslinski R, Miller A .
Methods for developing the American College of Rheumatology's electronic clinical quality measures.
Arthritis Care Res 2016 Oct;68(10):1402-9. doi: 10.1002/acr.22985.
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Keywords: Electronic Health Records (EHRs), Quality of Care, Health Information Technology (HIT), Quality Measures, Quality Measures
Farrow NE, Lau BD, JohnBull EA
Is the meaningful use venous thromboembolism VTE-6 measure meaningful? A retrospective analysis of one hospital's VTE-6 cases.
The researchers assessed the validity of the Meaningful Use VTE-6 measure by reviewing the quality of venous thromboembolism (VTE) prophylaxis provided to patients. Sixty percent of the patients identified as having sustained potentially preventable VTE were false positives. For the remaining forty percent, VTE was considered to be truly potentially preventable and those patients therefore provided targets for quality improvement measures.
AHRQ-funded; HS017952.
Citation: Farrow NE, Lau BD, JohnBull EA .
Is the meaningful use venous thromboembolism VTE-6 measure meaningful? A retrospective analysis of one hospital's VTE-6 cases.
Jt Comm J Qual Patient Saf 2016 Sep;42(9):410-6.
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Keywords: Blood Clots, Quality Improvement, Quality Measures, Quality Measures, Electronic Health Records (EHRs)
Singh H, Sittig DF
Measuring and improving patient safety through health information technology: the Health IT Safety Framework.
The authors propose a new framework, the Health IT Safety (HITS) measurement framework, to provide a conceptual foundation for health IT-related patient safety measurement, monitoring, and improvement. The HITS framework follows both Continuous Quality Improvement (CQI) and sociotechnical approaches and calls for new measures and measurement activities to address safety concerns. A long term framework goal is to enable rigorous measurement that helps achieve the safety benefits of health IT in real-world clinical settings.
AHRQ-funded; HS022087.
Citation: Singh H, Sittig DF .
Measuring and improving patient safety through health information technology: the Health IT Safety Framework.
BMJ Qual Saf 2016 Apr;25(4):226-32. doi: 10.1136/bmjqs-2015-004486.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Health Information Technology (HIT), Patient Safety, Quality Measures
Ahmed S, Siegel CA, Melmed GY
Implementing quality measures for inflammatory bowel disease.
The author argues that implementation of quality measures may depend on the care setting and whether quality measurement and improvement can be incorporated into workflows and electronic medical records. He also asserts that collaborative networks, utilization of care pathways, and standardized treatment algorithms may represent avenues for wide-scale implementation of quality improvement.
AHRQ-funded; HS021747.
Citation: Ahmed S, Siegel CA, Melmed GY .
Implementing quality measures for inflammatory bowel disease.
Curr Gastroenterol Rep 2015 Apr;17(4):14. doi: 10.1007/s11894-015-0437-1..
Keywords: Quality Measures, Quality of Care, Quality Improvement, Electronic Health Records (EHRs), Health Information Technology (HIT)
Garg N, Kuperman G, Onyile A
Validating health information exchange (HIE) data for quality measurement across four hospitals.
The study objective was to validate the secondary use of HIE data for two emergency department (ED) quality measures: identification of frequent ED users and early (72-hour) ED returns in four hospitals. It found that there was no significant difference in the total counts for frequent ED users or early ED returns for any of the four hospitals.
AHRQ-funded; HS021261.
Citation: Garg N, Kuperman G, Onyile A .
Validating health information exchange (HIE) data for quality measurement across four hospitals.
AMIA Annu Symp Proc 2014 Nov 14;2014:573-9..
Keywords: Electronic Health Records (EHRs), Emergency Department, Quality of Care, Health Information Exchange (HIE), Quality Measures
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
Hirsch AG, Scheck McAlearney A
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
The authors examined the use of electronic health record (EHR) data for diabetes performance measurement. They found that diabetes performance measures are influenced by the data elements used to identify patients. They recommended that as EHR data are used increasingly to measure performance, continuing to improve our understanding of how EHR data are collected and used will be critical.
AHRQ-funded; HS020165.
Citation: Hirsch AG, Scheck McAlearney A .
Measuring diabetes care performance using electronic health record data: the impact of diabetes definitions on performance measure outcomes.
Am J Med Qual 2014 Jul-Aug;29(4):292-9. doi: 10.1177/1062860613500808.
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Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Measures
Wang JJ, Winther CH, Cha J
Patient-centered medical home and quality measurement in small practices.
In this retrospective cohort study, the investigators sought to assess performance on quality measures among small primary care practices that recently adopted an electronic health record (EHR), and how performance differs between practices that have achieved patient-centered medical home (PCMH) recognition and those that have not. They found that among small practices that have adopted EHRs, practices with PCMH recognition consistently outperformed practices without recognition on 5 out of 7 clinical quality measures over the 2-year study period.
AHRQ-funded; HS019164.
Citation: Wang JJ, Winther CH, Cha J .
Patient-centered medical home and quality measurement in small practices.
Am J Manag Care 2014 Jun;20(6):481-9.
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Keywords: Electronic Health Records (EHRs), Quality of Care, Patient-Centered Healthcare, Primary Care, Quality Measures