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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 20 of 20 Research Studies DisplayedHsu YJ, Kosinski AS, Wallace AS
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
The authors assessed the utility of using external databases for quality improvement (QI) evaluations in the context of an innovative QI collaborative aimed to reduce three infections and improve patient safety across the cardiac surgery service line. They compared changes in each outcome between 15 intervention hospitals and 52 propensity score-matched hospitals, and found that improvement trends in several outcomes among the studied intervention hospitals were not statistically different from those in comparison hospitals. They conclude that using external databases may permit comparative effectiveness assessment by providing concurrent comparison groups, additional outcome measures, and longer follow-up.
AHRQ-funded; HS019934.
Citation: Hsu YJ, Kosinski AS, Wallace AS .
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
J Comp Eff Res 2019 Jan;8(1):21-32. doi: 10.2217/cer-2018-0051..
Keywords: Patient Safety, Quality Improvement, Quality Indicators (QIs), Quality of Care, Surgery, Cardiovascular Conditions, Comparative Effectiveness, Data, Hospitals, Research Methodologies, Patient-Centered Outcomes Research
Ong TC, Kahn MG, Kwan BM
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
The researchers designed and implemented a health data transformation and loading approach, which we refer to as Dynamic ETL (Extraction, Transformation and Loading) (D-ETL), that automates part of the process through use of scalable, reusable and customizable code. Their results showed that ETL rule composition methods and the D-ETL engine offer a scalable solution for health data transformation via automatic query generation to harmonize source datasets.
AHRQ-funded; HS019908; HS022956.
Citation: Ong TC, Kahn MG, Kwan BM .
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
BMC Med Inform Decis Mak 2017 Sep 13;17(1):134. doi: 10.1186/s12911-017-0532-3.
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Keywords: Comparative Effectiveness, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research
Ong T, Pradhananga R, Holve E
A framework for classification of electronic health data extraction-transformation-loading challenges in data network participation.
The researchers conducted key-informant interviews with data partner representatives to survey the Extract, Transform, Load (ETL) process challenges faced in clinical data research networks (CDRNs) and registries. The paper concluded that overcoming ETL technical challenges requires significant investments in a broad array of information technologies and human resources. Identifying these technical obstacles can inform optimal resource allocation to minimize the barriers and cost of entry for new data partners into extant networks, which in turn can expand data networks' inclusiveness and diversity.
AHRQ-funded; HS019564.
Citation: Ong T, Pradhananga R, Holve E .
A framework for classification of electronic health data extraction-transformation-loading challenges in data network participation.
eGEMS 2017 Jun 13;5(1):10. doi: 10.5334/egems.222..
Keywords: Comparative Effectiveness, Data, Health Information Technology (HIT), Patient-Centered Outcomes Research, Registries
Dagne GA, Brown CH, Howe G
Testing moderation in network meta-analysis with individual participant data.
The authors extended existing network methods for main effects to examining moderator effects. They further studied how the use of individual participant data may increase the sensitivity of network meta-analysis (NMA) for detecting moderator effects. They proposed a new NMA diagram and applied it to data from a classroom-based randomized study that involved two sub-trials, each comparing interventions that were contrasted with separate control groups.
AHRQ-funded; HS020263.
Citation: Dagne GA, Brown CH, Howe G .
Testing moderation in network meta-analysis with individual participant data.
Stat Med 2016 Jul 10;35(15):2485-502. doi: 10.1002/sim.6883.
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Keywords: Comparative Effectiveness, Data, Research Methodologies
Wang SV, Verpillat P, Rassen JA
Transparency and reproducibility of observational cohort studies using large healthcare databases.
The researchers explored the extent to which published pharmacoepidemiologic studies using commercially available databases could be reproduced by other investigators. Based on a nonsystematic sample of 38 descriptive or comparative safety/effectiveness cohort studies, they concludedc that an essential component of transparent and reproducible databases is more complete reporting of study implementation.
AHRQ-funded; HS022193.
Citation: Wang SV, Verpillat P, Rassen JA .
Transparency and reproducibility of observational cohort studies using large healthcare databases.
Clin Pharmacol Ther 2016 Mar;99(3):325-32. doi: 10.1002/cpt.329..
Keywords: Health Information Technology (HIT), Data, Research Methodologies, Comparative Effectiveness
Meeker D, Jiang X, Matheny ME
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.
The authors’ objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features. They were able to implement massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared.
AHRQ-funded; HS019913.
Citation: Meeker D, Jiang X, Matheny ME .
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.
J Am Med Inform Assoc 2015 Nov;22(6):1187-95. doi: 10.1093/jamia/ocv017..
Keywords: Communication, Comparative Effectiveness, Data, Health Information Technology (HIT), Policy, Research Methodologies
Hazlehurst BL, Kurtz SE, Masica A
CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data.
The authors describe the CER Hub, a web-based informatics platform for developing and conducting research studies that combine comprehensive electronic clinical data from multiple health care organizations. They conclude that CER requires coordinated and scalable methods for extracting, aggregating, and analyzing complex, multi-institutional clinical data.
AHRQ-funded; HS019828.
Citation: Hazlehurst BL, Kurtz SE, Masica A .
CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data.
Int J Med Inform 2015 Oct;84(10):763-73. doi: 10.1016/j.ijmedinf.2015.06.002..
Keywords: Comparative Effectiveness, Health Information Technology (HIT), Data, Web-Based
FitzHenry F, Resnic FS, Robbins SL
Creating a common data model for comparative effectiveness with the observational medical outcomes partnership.
This case study describes the challenges and opportunities of a study specific use of the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) by two health systems and describe three comparative effectiveness use cases developed from the CDM. It concluded that the data transformation to the CDM was time consuming and resources required were substantial, beyond requirements for collecting native source data.
AHRQ-funded; HS019913.
Citation: FitzHenry F, Resnic FS, Robbins SL .
Creating a common data model for comparative effectiveness with the observational medical outcomes partnership.
Appl Clin Inform 2015 Aug 26;6(3):536-47. doi: 10.4338/aci-2014-12-cr-0121..
Keywords: Comparative Effectiveness, Outcomes, Data
Pine M, Kowlessar NM, Salemi JL
Enhancing clinical content and race/ethnicity data in statewide hospital administrative databases: obstacles encountered, strategies adopted, and lessons learned.
Eight grant teams used Agency for Healthcare Research and Quality infrastructure development research grants to enhance the clinical content of and improve race/ethnicity identifiers in statewide all-payer hospital administrative databases. The authors concluded that creation of enhanced administrative databases to support comparative effectiveness research is difficult, particularly in the face of numerous challenges with recruiting data partners such as competing demands on information technology resources.
AHRQ-funded
Citation: Pine M, Kowlessar NM, Salemi JL .
Enhancing clinical content and race/ethnicity data in statewide hospital administrative databases: obstacles encountered, strategies adopted, and lessons learned.
Health Serv Res 2015 Aug;50 Suppl 1:1300-21. doi: 10.1111/1475-6773.12330..
Keywords: Healthcare Cost and Utilization Project (HCUP), Comparative Effectiveness, Patient-Centered Outcomes Research, Data
Salemi JL, Salinas-Miranda AA, Wilson RE
Transformative use of an improved all-payer hospital discharge data infrastructure for community-based participatory research: a sustainability pathway.
The researchers describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community.
AHRQ-funded; HS019997.
Citation: Salemi JL, Salinas-Miranda AA, Wilson RE .
Transformative use of an improved all-payer hospital discharge data infrastructure for community-based participatory research: a sustainability pathway.
Health Serv Res 2015 Aug;50 Suppl 1:1322-38. doi: 10.1111/1475-6773.12309..
Keywords: Maternal Care, Comparative Effectiveness, Hospital Discharge, Data, Quality Improvement
Ross ME, Kreider AR, Huang YS
Propensity score methods for analyzing observational data like randomized experiments: challenges and solutions for rare outcomes and exposures.
The researchers expanded upon an approach to the analysis of observational data sets that mimics a sequence of randomized studies by implementing propensity score models within each trial to achieve covariate balance, using weighting and matching. Challenges included a rare outcome, a rare exposure, substantial and important differences between exposure groups, and a very large sample size.
AHRQ-funded; HS018550.
Citation: Ross ME, Kreider AR, Huang YS .
Propensity score methods for analyzing observational data like randomized experiments: challenges and solutions for rare outcomes and exposures.
Am J Epidemiol 2015 Jun 15;181(12):989-95. doi: 10.1093/aje/kwu469..
Keywords: Comparative Effectiveness, Data, Research Methodologies
Margulis AV, Palmsten K, Andrade SE
Beginning and duration of pregnancy in automated health care databases: review of estimation methods and validation results.
The authors describe methods reported in the literature to estimate the beginning or duration of pregnancy in automated health care data, and to present results of validation exercises where available. They concluded that a number of methods of varying complexity are available to estimate them. Validation studies have been performed for many of them and can serve as a guide for method selection for a particular study.
AHRQ-funded; HS018533.
Citation: Margulis AV, Palmsten K, Andrade SE .
Beginning and duration of pregnancy in automated health care databases: review of estimation methods and validation results.
Pharmacoepidemiol Drug Saf 2015 Apr;24(4):335-42. doi: 10.1002/pds.3743..
Keywords: Pregnancy, Comparative Effectiveness, Data
Brouwer ES, Moga DC, Eron JJ
Evaluating the incident user design in the HIV population: incident use versus naive?
Through linkage to a comprehensive HIV clinical cohort, the researchers aimed to quantify and describe the truly naïve patients in an incident use population identified in Medicaid administrative claims. In their sample, they found that 34 percent of the Medicaid incident users were naïve based on medical record abstraction of antiretroviral use.
AHRQ-funded; HS018731.
Citation: Brouwer ES, Moga DC, Eron JJ .
Evaluating the incident user design in the HIV population: incident use versus naive?
Pharmacoepidemiol Drug Saf 2015 Mar;24(3):297-300. doi: 10.1002/pds.3705..
Keywords: Human Immunodeficiency Virus (HIV), Research Methodologies, Comparative Effectiveness, Data, Medicaid
Neugebauer R, Schmittdiel JA, Zhu Z
High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
The authors described the application and performance of the hdPS algorithm to improve covariate selection in CER with time-varying interventions based on inverse probability weighting estimation and explored stabilization of the resulting estimates using Super Learning. Their evaluation was based on both the analysis of electronic health records data in a real-world CER study of adults with type 2 diabetes and a simulation study.
AHRQ-funded; 29020050016I.
Citation: Neugebauer R, Schmittdiel JA, Zhu Z .
High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
Stat Med 2015 Feb 28;34(5):753-81. doi: 10.1002/sim.6377..
Keywords: Comparative Effectiveness, Data, Research Methodologies
Li 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
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
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
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)
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