National Healthcare Quality and Disparities Report
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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
151 to 174 of 174 Research Studies DisplayedLi T, Vedula SS, Hadar N
Innovations in data collection, management, and archiving for systematic reviews.
The authors provide a step-by-step tutorial for collecting, managing, and archiving data for systematic reviews and suggest steps for developing rigorous data collection forms in the Systematic Review Data Repository to facilitate implementation of the methodological standards and expectations of the Institute of Medicine and other organizations.
AHRQ-funded; 290200710055I; 290201200012I.
Citation: Li T, Vedula SS, Hadar N .
Innovations in data collection, management, and archiving for systematic reviews.
Ann Intern Med. 2015 Feb 17;162(4):287-94. doi: 10.7326/M14-1603..
Keywords: Data, Comparative Effectiveness, Outcomes, Research Methodologies
Hannan EL, Qian F, Pine M
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
The purpose of this study was to determine whether the addition of laboratory data to the clinical database for coronary artery bypass graft (CABG) would identify laboratory variables that are significant independent predictors of short-term (in-hospital / 30-day) mortality. The researchers found that there was no significant difference in the discrimination of the registry model or the combined registry/laboratory model.
AHRQ-funded; HS019965.
Citation: Hannan EL, Qian F, Pine M .
The value of adding laboratory data to coronary artery bypass grafting registry data to improve models for risk-adjusting provider mortality rates.
Ann Thorac Surg 2015 Feb;99(2):495-501. doi: 10.1016/j.athoracsur.2014.08.043..
Keywords: Registries, Mortality, Risk, Surgery, Data
Manohar N, Adam TJ, Pakhomov SV
Evaluation of herbal and dietary supplement resource term coverage.
This pilot study investigated coverage of supplement databases to one another as well as coverage by the Unified Medical Language System (UMLS) and RxNorm for supplement terms. It found that none of the supplement databases completely covers supplement terms.
AHRQ-funded; HS022085.
Citation: Manohar N, Adam TJ, Pakhomov SV .
Evaluation of herbal and dietary supplement resource term coverage.
Stud Health Technol Inform 2015;216:785-9..
Keywords: Health Information Technology (HIT), Vitamins and Supplements, Data
Bakken SN, Hill JN, Guihan M
Factors influencing consent for electronic data linkage in urban Latinos.
Within the context of patient participation in a Learning Health System, this study examined consent rates and factors associated with consent for linking survey data with electronic clinical data in a sample of 2,271 Latinos. Consent rate was 96.3%. Government insurance status and health literacy significantly influenced the odds of consent.
AHRQ-funded; HS022961.
Citation: Bakken SN, Hill JN, Guihan M .
Factors influencing consent for electronic data linkage in urban Latinos.
Stud Health Technol Inform 2015;216:984..
Keywords: Racial and Ethnic Minorities, Health Information Technology (HIT), Electronic Health Records (EHRs), Data, Racial and Ethnic Minorities
Shenvi EC, Meeker D, Boxwala AA
Understanding data requirements of retrospective studies.
This study seeks to characterize the types and patterns of data usage from EHRs for clinical research. It found that studies used an average of 4.46 (range 1–12) data element types in the selection criteria and 6.44 (range 1–15) in the study variables. The most frequently used items (e.g., procedure, condition, medication) are often available in coded form in EHRs.
AHRQ-funded; HS019913.
Citation: Shenvi EC, Meeker D, Boxwala AA .
Understanding data requirements of retrospective studies.
Int J Med Inform 2015 Jan;84(1):76-84. doi: 10.1016/j.ijmedinf.2014.10.004..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Data, Healthcare Delivery
Kozlowski SWJ, Chao GT, Chang C-H
https://www.routledge.com/Big-Data-at-Work-The-Data-Science-Revolution-and-Organizational-Psychology/Tonidandel-King-Cortina/p/book/9781848725829
Using big data to advance the science of team effectiveness.
The authors discuss the longstanding treatment of team processes as static constructs rather than as dynamic processes per se. They then highlight research design issues that need to be considered in any effort to directly observe, assess, and capture teamwork process dynamics. Finally, they explain how researchers can directly assess and capture team process dynamics using illustrations from three ongoing projects.
AHRQ-funded; HS020295; HS022458.
Citation: Kozlowski SWJ, Chao GT, Chang C-H .
Using big data to advance the science of team effectiveness.
In: Tonidandel S, King E, Cortina J, editors. Big Data at Work: The Data Science Revolution and Organizational Psychology. New York: Routledge; 2015. p. 272-309, chapter 10..
Keywords: Teams, Research Methodologies, Data
Panahiazar M, Taslimitehrani V, Pereira N
Using EHRs and machine learning for heart failure survival analysis.
This study assessed the performance of the Seattle Heart Failure Model using EHRs at Mayo Clinic, and sought to develop a risk prediction model using machine learning techniques that applied routine clinical care data. Its results showed the models which were built using EHR data are more accurate (11 percent improvement in AUC) with the convenience of being more readily applicable in routine clinical care.
AHRQ-funded; HS023077.
Citation: Panahiazar M, Taslimitehrani V, Pereira N .
Using EHRs and machine learning for heart failure survival analysis.
Stud Health Technol Inform 2015;216:40-4..
Keywords: Electronic Health Records (EHRs), Heart Disease and Health, Risk, Data
Sumner W, Stwalley DL, Asaro PV
Adding flexible temporal constraints to identify chronic comorbid conditions in ambulatory claims data.
The researchers particularly wanted to increase the temporal flexibility of comorbidity definitions in response to common documentation patterns. They report the development and testing of a chronic disease list with temporal criteria for analyzing outpatient claims data. They concluded that temporal constraints applied to ambulatory claims may improve comorbid condition categorization.
AHRQ-funded; HS019455.
Citation: Sumner W, Stwalley DL, Asaro PV .
Adding flexible temporal constraints to identify chronic comorbid conditions in ambulatory claims data.
AMIA Annu Symp Proc 2014 Nov 14;2014:1088-97..
Keywords: Chronic Conditions, Data, Health Insurance
Angier H, Gold R, Crawford C
Linkage methods for connecting children with parents in electronic health record and state public health insurance data.
The purpose of this study was to develop ways to create child-parent links in two healthcare-related data sources: Oregon clinics sharing an electronic health record (EHR) and Oregon Health Plan’s (OHP) administrative data. To create the child-parent links, researchers used the child’s emergency contact information from the EHR and household identification numbers from the OHP.
AHRQ-funded; HS018569
Citation: Angier H, Gold R, Crawford C .
Linkage methods for connecting children with parents in electronic health record and state public health insurance data.
Matern Child Health J. 2014 Nov;18(9):2025-33. doi: 10.1007/s10995-014-1453-8..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Data
Jalbert JJ, Ritchey ME, Mi X
Methodological considerations in observational comparative effectiveness research for implantable medical devices: an epidemiologic perspective.
This article discusses some of the most salient issues encountered in conducting comparative effectiveness research on implantable devices. Included in this discussion are special methodological considerations regarding the use of data sources, exposure and outcome definitions, timing of exposure, and sources of bias.
AHRQ-funded; 29020050016; HS017731
Citation: Jalbert JJ, Ritchey ME, Mi X .
Methodological considerations in observational comparative effectiveness research for implantable medical devices: an epidemiologic perspective.
Am J Epidemiol. 2014 Nov 1;180(9):949-58. doi: 10.1093/aje/kwu206..
Keywords: Comparative Effectiveness, Research Methodologies, Data
Warren DK, Nickel KB, Wallace AE
Can additional information be obtained from claims data to support surgical site infection diagnosis codes?
The authors sought to confirm a claims algorithm to identify surgical site infections (SSIs) by examining the presence of clinically expected SSI treatment. They found that over 94% of patients identified by their claims algorithm as having an SSI received clinically expected treatment for infection, including antibiotics, surgical treatment, and culture, suggesting that this algorithm has very good positive predictive value. They concluded that their method may facilitate retrospective SSI surveillance and comparison of SSI rates across facilities and providers.
AHRQ-funded; HS019713.
Citation: Warren DK, Nickel KB, Wallace AE .
Can additional information be obtained from claims data to support surgical site infection diagnosis codes?
Infect Control Hosp Epidemiol 2014 Oct;35 Suppl 3:S124-32. doi: 10.1086/677830.
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Keywords: Data, Healthcare-Associated Infections (HAIs), Patient Safety, Surgery, Injuries and Wounds, Adverse Events
Gomez SL, Lichtensztajn DY, Parikh P
Hospital practices in the collection of patient race, ethnicity, and language data: a statewide survey, California, 2011.
The authors reported on a sruvey of general acute care hospitals in California to elucidate practices regarding collection and auditing of patient race, ethnicity, and primary spoken language (REL). They found that the majority of hospitals used standardized forms for collection, and 75% audited patient information for completeness. They concluded that California hospitals are collecting information on patient REL as mandated, but variation in data collection exists, and hospitals may benefit from standardized data collection and auditing practices.
AHRQ-funded; HS019963.
Citation: Gomez SL, Lichtensztajn DY, Parikh P .
Hospital practices in the collection of patient race, ethnicity, and language data: a statewide survey, California, 2011.
J Health Care Poor Underserved 2014 Aug;25(3):1384-96. doi: 10.1353/hpu.2014.0126.
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Keywords: Data, Hospitals, Racial and Ethnic Minorities, Social Determinants of Health
Holmes JH, Elliott TE, Brown JS
Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.
The researchers reviewed the published, peer-reviewed literature on clinical research data warehouse governance in distributed research networks (DRNs). They determined that a peer-reviewed literature on data warehouse governance is emerging but is still sparse. Understanding of DRN data governance policies and procedures is limited but expected to change as more DRN projects disseminate their governance approaches.
AHRQ-funded; HS019912
Citation: Holmes JH, Elliott TE, Brown JS .
Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.
J Am Med Inform Assoc. 2014 Jul-Aug;21(4):730-6. doi: 10.1136/amiajnl-2013-002370..
Keywords: Comparative Effectiveness, Data, Health Information Technology (HIT)
Schmid CH, Trikalinos Olkin, I
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
The researchers developed a Bayesian multinomial network meta-analysis model for unordered (nominal) categorical outcomes that allows for partially observed data in which exact event counts may not be known for each category. Their model properly accounts for correlations of counts in mutually exclusive categories and enables proper comparison and ranking of treatment effects across multiple treatments and multiple outcomes categories.
AHRQ-funded; HS018574.
Citation: Schmid CH, Trikalinos Olkin, I .
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
Res Synth Methods 2014 Jun;5(2):162-85. doi: 10.1002/jrsm.1103..
Keywords: Comparative Effectiveness, Outcomes, Data
Dixon BE, Vreeman DJ, Grannis SJ
The long road to semantic interoperability in support of public health: experiences from two states.
This article illustrates the current state of semantic interoperability using a case example drawn from public health and discusses three policy strategies for strengthening interoperability. It also presents recommendations for improving the use of clinical data and information for public health, including disease surveillance, community assessment and measurement of care quality.
AHRQ-funded; HS020909
Citation: Dixon BE, Vreeman DJ, Grannis SJ .
The long road to semantic interoperability in support of public health: experiences from two states.
J Biomed Inform. 2014 Jun;49:3-8. doi: 10.1016/j.jbi.2014.03.011..
Keywords: Public Health, Data, Quality of Care
Setoguchi S, Zhu Y, Jalbert JJ
Validity of deterministic record linkage using multiple indirect personal identifiers: linking a large registry to claims data.
The researchers compared the validity of several deterministic record linkage methods with multiple indirect identifiers by using data from the Centers for Medicare and Medicaid Services (CMS) implantable cardioverter-defibrillator (ICD) registry and administrative Medicare inpatient claims data. Linkage rules using 2 or 3 indirect, patient-level identifiers and hospital ID produced linkages with sensitivity of 95% and specificity of 98% compared with a gold standard linkage rule.
AHRQ-funded; 29020050016I; HS017731.
Citation: Setoguchi S, Zhu Y, Jalbert JJ .
Validity of deterministic record linkage using multiple indirect personal identifiers: linking a large registry to claims data.
Circ Cardiovasc Qual Outcomes 2014 May;7(3):475-80. doi: 10.1161/circoutcomes.113.000294..
Keywords: Medical Devices, Medicare, Registries, Data, Inpatient Care
Ji Z, Jiang X, Wang S
Differentially private distributed logistic regression using private and public data.
The purpose of this study was to develop hybrid data mining models using both public and private data sets in a differentially private and distributed manner to achieve improved utility of the disclosed data. The researchers concluded that the logistic regression models built with their new algorithm based on both private and public datasets demonstrate better utility than models that trained on private or public datasets alone without sacrificing the rigorous privacy guarantee.
AHRQ-funded; HS019913
Citation: Ji Z, Jiang X, Wang S .
Differentially private distributed logistic regression using private and public data.
BMC Med Genomics 2014;7 Suppl 1:S14. doi: 10.1186/1755-8794-7-s1-s14.
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Keywords: Comparative Effectiveness, Data, Health Information Technology (HIT)
Wernli KJ, DeMartini WB, Ichikawa L
Patterns of breast magnetic resonance imaging use in community practice.
The researchers described patterns of breast MRI use in US community practice during the period 2005 through 2009. They found that the overall rate of breast MRI from 2005 through 2009 nearly tripled from 4.2 to 11.5 examinations per 1000 women, with the most rapid increase from 2005 to 2007.
AHRQ-funded; HS019482.
Citation: Wernli KJ, DeMartini WB, Ichikawa L .
Patterns of breast magnetic resonance imaging use in community practice.
JAMA Intern Med 2014 Jan;174(1):125-32. doi: 10.1001/jamainternmed.2013.11963..
Keywords: Cancer: Breast Cancer, Data, Healthcare Utilization, Imaging, Registries
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