National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Cancer: Breast Cancer (1)
- Chronic Conditions (1)
- Comparative Effectiveness (4)
- COVID-19 (1)
- (-) Data (12)
- Electronic Health Records (EHRs) (1)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Costs (1)
- Healthcare Utilization (1)
- Health Information Technology (HIT) (3)
- Health Insurance (1)
- Hospitals (1)
- Imaging (1)
- Injuries and Wounds (1)
- Inpatient Care (1)
- Medical Devices (1)
- Medical Expenditure Panel Survey (MEPS) (1)
- Medicare (1)
- Outcomes (1)
- Patient Safety (1)
- Public Health (1)
- Quality of Care (1)
- Racial and Ethnic Minorities (1)
- Registries (2)
- Research Methodologies (1)
- Social Determinants of Health (1)
- Surgery (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 12 of 12 Research Studies DisplayedZuvekas SH, Kashihara D
AHRQ Author: Zuvekas SH
The impacts of the COVID-19 pandemic on the Medical Expenditure Panel Survey.
The COVID-19 pandemic caused substantial disruptions in the field operations of all 3 major components of the Medical Expenditure Panel Survey (MEPS). In this study, the investigators described how the MEPS program successfully responded to these challenges by reengineering field operations, including survey modes, to complete data collection and maintain data release schedules.
AHRQ-authored.
Citation: Zuvekas SH, Kashihara D .
The impacts of the COVID-19 pandemic on the Medical Expenditure Panel Survey.
Am J Public Health 2021 Dec;111(12):2157-66. doi: 10.2105/ajph.2021.306534..
Keywords: Medical Expenditure Panel Survey (MEPS), COVID-19, Healthcare Costs, 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.
.
.
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.
.
.
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.
.
.
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