National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Blood Clots (1)
- Cardiovascular Conditions (1)
- Children's Health Insurance Program (CHIP) (1)
- (-) Electronic Health Records (EHRs) (6)
- Evidence-Based Practice (1)
- Health Information Technology (HIT) (4)
- Heart Disease and Health (1)
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- (-) Quality Improvement (6)
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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 6 of 6 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)
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
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
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)
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)
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