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AHRQ Research Studies Date
Topics
- Cancer (1)
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- Comparative Effectiveness (1)
- (-) Data (11)
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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 11 of 11 Research Studies DisplayedSangal RB, Fodeh S, Taylor A
Identification of patients with nontraumatic intracranial hemorrhage using administrative claims data.
Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based definition. In this study, the investigators aimed to evaluate both explicit diagnosis codes and machine learning methods to create a claims-based definition for this clinical phenotype.
AHRQ-funded; HS023554.
Citation: Sangal RB, Fodeh S, Taylor A .
Identification of patients with nontraumatic intracranial hemorrhage using administrative claims data.
J Stroke Cerebrovasc Dis 2020 Dec;29(12):105306. doi: 10.1016/j.jstrokecerebrovasdis.2020.105306..
Keywords: Cardiovascular Conditions, Neurological Disorders, Diagnostic Safety and Quality, Data
Byrd TF, Ahmad FS, Liebovitz DM
Defragmenting heart failure care: medical records integration.
This article discusses the need to improve interoperability of software systems so that so that providers and patients can access clinical information needed to help coordinate care of heart failure patients. New data standards currently being proposed in legislation would make it possible to guide clinical decision-making.
AHRQ-funded; HS026385.
Citation: Byrd TF, Ahmad FS, Liebovitz DM .
Defragmenting heart failure care: medical records integration.
Heart Fail Clin 2020 Oct;16(4):467-77. doi: 10.1016/j.hfc.2020.06.007..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions, Data
Lin JS, Murad MH, Leas B
A narrative review and proposed framework for using health system data with systematic reviews to support decision-making.
This paper addresses when and how the use of health system data might make systematic reviews more useful to decisionmakers. The authors have developed a framework to guide the use of health system data alongside systematic reviews based on a narrative review of the literature and empirical experience. They recommend future methodological work on how best to handle internal and external validity concerns of health system data in the context of systematically reviewed data and work on developing infrastructure to do this type of work.
AHRQ-funded; 290201500007I; 29032001T05; 290201500005I; 290201500009I.
Citation: Lin JS, Murad MH, Leas B .
A narrative review and proposed framework for using health system data with systematic reviews to support decision-making.
J Gen Intern Med 2020 Jun;35(6):1830-35. doi: 10.1007/s11606-020-05783-5..
Keywords: Learning Health Systems, Health Systems, Evidence-Based Practice, Data, Decision Making
Dixon BE, Wen C, French T
Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI).
The authors extended the open-source software Observational Health Data Sciences and Informatics (OHDSI) to incorporate new functions useful for population health. They developed and tested methods to measure the completeness, timeliness and entropy of information; timeliness was not adopted as its context did not fit with the existing OHDSI domains. The case report examined the process and reasons for acceptance and rejection of ideas proposed to an open-source community like OHDSI.
AHRQ-funded; HS025502.
Citation: Dixon BE, Wen C, French T .
Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI).
BMJ Health Care Inform 2020 Mar;27(1). doi: 10.1136/bmjhci-2019-100054..
Keywords: Public Health, Data
Jarrin OF, Nyandege AN, Grafova IB
Validity of race and ethnicity codes in Medicare administrative data compared with gold-standard self-reported race collected during routine home health care visits.
The authors compared the validity of two race/ethnicity variables found in Medicare administrative data against a gold-standard source also available in the Medicare data warehouse. They found that the race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data. They conclude that future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.
AHRQ-funded; HS022406.
Citation: Jarrin OF, Nyandege AN, Grafova IB .
Validity of race and ethnicity codes in Medicare administrative data compared with gold-standard self-reported race collected during routine home health care visits.
Med Care 2020 Jan;58(1):e1-e8. doi: 10.1097/mlr.0000000000001216..
Keywords: Racial and Ethnic Minorities, Home Healthcare, Medicare, Data, Disparities, Research Methodologies
Jiang W, Li P, Wang S
WebGLORE: a web service for Grid LOgistic Regression.
This article describes and discusses WebGLORE, a free web service enabling privacy-preserving construction of a global logistic regression model from sensitive distributed datasets using HTTP to a trusted server, where the model is synthesized.
AHRQ-funded; HS019564.
Citation: Jiang W, Li P, Wang S .
WebGLORE: a web service for Grid LOgistic Regression.
Bioinformatics. 2013 Dec 15;29(24):3238-40. doi: 10.1093/bioinformatics/btt559..
Keywords: Data, Health Information Technology (HIT), Web-Based
Shapiro JS, Johnson SA, Angiollilo J
Health information exchange improves identification of frequent emergency department users.
The goal of the project was to measure the incremental increase in the number of frequent ED users who were identified when data
from all EDs participating in an health information exchange were compared with site-specific data. When the researchers analyzed HIE-wide data instead of site-specific data, they identified 20.3 percent more frequent ED users and 16.0 percent more visits by them to the ED.
from all EDs participating in an health information exchange were compared with site-specific data. When the researchers analyzed HIE-wide data instead of site-specific data, they identified 20.3 percent more frequent ED users and 16.0 percent more visits by them to the ED.
AHRQ-funded; HS021261.
Citation: Shapiro JS, Johnson SA, Angiollilo J .
Health information exchange improves identification of frequent emergency department users.
Health Aff 2013 Dec;32(12):2193-8. doi: 10.1377/hlthaff.2013.0167..
Keywords: Data, Emergency Department, Healthcare Utilization, Health Information Exchange (HIE), Health Information Technology (HIT)
Beaubrun AC, Kanda E, Bond TC
Form CMS-2728 data versus erythropoietin claims data: implications for quality of care studies.
The purpose of this study was to compare predialysis erythropoietin-simulating agents (ESA) care reported on Form CMS-2728 with Medicare claims for ESA treatment submitted for patients 67 years and older at initiation of dialysis with Medicare as the primary payer. It found that the agreement between Form CMS-2728 and claims data is poor and discordant results are observed when comparing the use of these data sources to predict health outcomes.
AHRQ-funded; HS000032.
Citation: Beaubrun AC, Kanda E, Bond TC .
Form CMS-2728 data versus erythropoietin claims data: implications for quality of care studies.
Ren Fail 2013;35(3):320-6. doi: 10.3109/0886022x.2012.747967..
Keywords: Medicare, Data, Elderly, Quality of Care, Kidney Disease and Health
Cohen SB, Cohen JW
AHRQ Author: Cohen SB, Cohen JW
The capacity of the Medical Expenditure Panel Survey to inform the Affordable Care Act.
The authors provided a summary of the capacity of the Medical Expenditure Panel Survey to inform program planning, implementation, and evaluations of program performance for several components of the Affordable Care Act.
AHRQ-authored.
Citation: Cohen SB, Cohen JW .
The capacity of the Medical Expenditure Panel Survey to inform the Affordable Care Act.
Inquiry 2013 May;50(2):124-34. doi: 10.1177/0046958013513678.
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Keywords: Data, Healthcare Costs, Health Insurance, Policy, Medical Expenditure Panel Survey (MEPS)
Mark TL, Lawrence W, Coffey RM
AHRQ Author: Lawrence W, Steiner C
The value of linking hospital discharge and mortality data for comparative effectiveness research.
The purpose of this paper was to demonstrate the value of linking state community hospital discharge data to vital statistics death files for research by conducting a comparative effectiveness analysis. The analysis revealed that in the matched cohort, in-hospital and 30-day postdischarge mortality rates were significantly lower following endovascular aneurysm repair than open aneurysm repair, but differences in the 1- and 5-year rates were not statistically significant.
AHRQ-authored.
Citation: Mark TL, Lawrence W, Coffey RM .
The value of linking hospital discharge and mortality data for comparative effectiveness research.
J Comp Eff Res 2013 Mar;2(2):175-84. doi: 10.2217/cer.13.4.
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Keywords: Comparative Effectiveness, Data, Healthcare Cost and Utilization Project (HCUP), Mortality, Surgery
Mehrabi S, Schmidt CM, Waters JA
An efficient pancreatic cyst identification methodology using natural language processing.
Accurate identification, surveillance and treatment of pancreatic cysts represents an opportunity to prevent pancreatic cancer. Much information about pancreatic cysts can be found in free text format in various narrative medical reports. To capture this information, the researchers modified their cyst identification technique using the Unstructured Information Management Architecture (UIMA) pipeline.
AHRQ-funded; HS019818.
Citation: Mehrabi S, Schmidt CM, Waters JA .
An efficient pancreatic cyst identification methodology using natural language processing.
Stud Health Technol Inform 2013;192:822-6..
Keywords: Cancer, Electronic Health Records (EHRs), Data, Health Information Technology (HIT), Prevention