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Search All Research Studies
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- Cardiovascular Conditions (1)
- (-) Data (12)
- Diabetes (1)
- Elderly (1)
- Emergency Department (1)
- Health Information Technology (HIT) (1)
- Health Services Research (HSR) (3)
- Injuries and Wounds (1)
- Medicare (2)
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- Patient Safety (1)
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- (-) Research Methodologies (12)
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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 12 of 12 Research Studies DisplayedRoss JS, Waldstreicher J, Bamford S
Overview and experience of the YODA Project with clinical trial data sharing after 5 years.
This article provides an overview of the Yale University Open Data Access (YODA) Project, which has facilitated access to clinical trial data since 2013. The Project’s key decisions to establish data sharing policies are described, and the authors suggest how their experience and the experiences of their data-generator partners can be used to enhance other ongoing or future initiatives.
AHRQ-funded; HS022882; HS025164.
Citation: Ross JS, Waldstreicher J, Bamford S .
Overview and experience of the YODA Project with clinical trial data sharing after 5 years.
Sci Data 2018 Nov 27;5:180268. doi: 10.1038/sdata.2018.268..
Keywords: Data, Research Methodologies
Newgard CD, Malveau S, Zive D
Building a longitudinal cohort from 9-1-1 to 1-year using existing data sources, probabilistic linkage, and multiple imputation: a validation study.
The objective of this seven-county study was to describe and validate construction of a population-based, longitudinal cohort of injured older adults from 9-1-1 call to 1-year follow-up. Results showed that a population-based emergency care cohort with long-term outcomes can be constructed from existing data sources with high accuracy and reasonable validity of resulting variables.
AHRQ-funded; HS023796.
Citation: Newgard CD, Malveau S, Zive D .
Building a longitudinal cohort from 9-1-1 to 1-year using existing data sources, probabilistic linkage, and multiple imputation: a validation study.
Acad Emerg Med 2018 Nov;25(11):1268-83. doi: 10.1111/acem.13512..
Keywords: Data, Research Methodologies, Elderly, Emergency Department, Injuries and Wounds
Wang SV, Maro JC, Baro E
Data mining for adverse drug events with a propensity score-matched tree-based scan statistic.
In this study, the investigators propose a method that combines tree-based scan statistics with propensity score-matched analysis of new initiator cohorts, a robust design for investigations of drug safety. They subsequently conducted plasmode simulations to evaluate performance. The authors suggest that TreeScan with propensity score matching shows promise as a method for screening and prioritization of potential adverse events.
AHRQ-funded; HS022193.
Citation: Wang SV, Maro JC, Baro E .
Data mining for adverse drug events with a propensity score-matched tree-based scan statistic.
Epidemiology 2018 Nov;29(6):895-903. doi: 10.1097/ede.0000000000000907..
Keywords: Adverse Drug Events (ADE), Adverse Events, Patient Safety, Medication, Medication: Safety, Data, Research Methodologies
Wiehe SE, Rosenman MB, Chartash D
A solutions-based approach to building data-sharing partnerships.
This paper aims to enhance the van Panhuis et al. framework of barriers to data sharing; the authors present a complementary solutions-based data-sharing process in order to encourage both emerging and established researchers, whether or not in academia, to engage in data-sharing partnerships.
AHRQ-funded; HS023318; HS024296.
Citation: Wiehe SE, Rosenman MB, Chartash D .
A solutions-based approach to building data-sharing partnerships.
eGEMS 2018 Aug 22;6(1):20. doi: 10.5334/egems.236..
Keywords: Data, Health Services Research (HSR), Research Methodologies
Chai H, Jiang H, Lin L
A marginalized two-part Beta regression model for microbiome compositional data.
The authors of the study propose a marginalized two-part Beta regression model which captures the zero-inflation and skewness of microbiome data and also allows investigators to examine covariate effects on the marginal (unconditional) mean. They demonstrated its practical performance using simulation studies and applying the model to a real metagenomic dataset on mouse skin microbiota.
AHRQ-funded; HS020263.
Citation: Chai H, Jiang H, Lin L .
A marginalized two-part Beta regression model for microbiome compositional data.
PLoS Comput Biol 2018 Jul 23;14(7):e1006329. doi: 10.1371/journal.pcbi.1006329..
Keywords: Data, Research Methodologies
Ghaferi AA, Dimick JB
Practical guide to surgical data sets: Medicare claims data.
In this article, the authors discuss pros and cons of Medicare data and explore commonly studied categories using this data (health policy evaluation, comparative effectiveness research, and outcome variations). They conclude that it is important to frame questions carefully and to use appropriate methods to ensure scientific rigor.
AHRQ-funded; HS023621; HS024403.
Citation: Ghaferi AA, Dimick JB .
Practical guide to surgical data sets: Medicare claims data.
JAMA Surg 2018 Jul;153(7):677-78. doi: 10.1001/jamasurg.2018.0489..
Keywords: Medicare, Data, Surgery, Patient-Centered Outcomes Research, Research Methodologies
Lu B, Cai D, Tong X
Testing causal effects in observational survival data using propensity score matching design.
The researchers proposed a strategy to test for survival function differences based on the matching design and explored sensitivity of the P-values to assumptions about unmeasured confounding. Next, they applied their method to an observational cohort of chronic liver disease patients from a Mayo Clinic study. Results showed evidence of a significant treatment effect. They recommended caution, however, as the sensitivity analysis reveals that the P-value becomes non-significant if there exists an unmeasured confounder with a small impact.
AHRQ-funded; HS024263.
Citation: Lu B, Cai D, Tong X .
Testing causal effects in observational survival data using propensity score matching design.
Stat Med 2018 May 20;37(11):1846-58. doi: 10.1002/sim.7599.
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Keywords: Data, Health Services Research (HSR), Research Methodologies
Hultman G, McEwan R, Pakhomov S
Usability evaluation of an unstructured clinical document query tool for researchers.
This study aimed to conduct a user-centered analysis with clinical researchers to gain insight into Natural Language Processing - Patient Information Extraction for Researchers (NLP-PIER) usability and to gain an understanding of the needs of clinical researchers when using an application for searching clinical notes.
AHRQ-funded; HS022085.
Citation: Hultman G, McEwan R, Pakhomov S .
Usability evaluation of an unstructured clinical document query tool for researchers.
AMIA Jt Summits Transl Sci Proc 2018 May 18;2018:84-93..
Keywords: Data, Health Information Technology (HIT), Research Methodologies
Sun B, Perkins NJ, Cole SR
AHRQ Author: Mitchell EM
Inverse-probability-weighted estimation for monotone and nonmonotone missing data.
The goal of this study was to examine the issue of missing data in epidemiologic research by estimating the association of maternal smoking behavior with spontaneous abortion. Three data sets with induced missing values from the Collaborative Perinatal Project are provided in the article as examples of prototypical epidemiologic studies with missing data. The article also describes a proposed approach to modeling nonmonotone missing-data mechanisms under missingness at random that can be used in constructing the weights in inverse probability weighting complete-case estimation.
AHRQ-authored.
Citation: Sun B, Perkins NJ, Cole SR .
Inverse-probability-weighted estimation for monotone and nonmonotone missing data.
Am J Epidemiol 2018 Mar;187(3):585-91. doi: 10.1093/aje/kwx350..
Keywords: Data, Health Services Research (HSR), Pregnancy, Research Methodologies
Stocco FG, Evaristo E, Shah NR
Marked exercise-induced T-wave heterogeneity in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis.
The authors investigated whether T-wave heterogeneity (TWH) is elevated during exercise tolerance testing (ETT) in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis compared to control subjects without diabetes. They found that TWH is capable of detecting latent repolarization abnormalities, which are present during ETT in diabetic patients with nonflow-limiting stenosis but not in control subjects. They concluded that the technique developed in this study permits TWH analysis from archived ECGs and thereby enables mining of extensive databases for retrospective studies and hypothesis testing.
AHRQ-funded; HS022998.
Citation: Stocco FG, Evaristo E, Shah NR .
Marked exercise-induced T-wave heterogeneity in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis.
Ann Noninvasive Electrocardiol 2018 Mar;23(2):e12503. doi: 10.1111/anec.12503.
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Keywords: Cardiovascular Conditions, Data, Diabetes, Research Methodologies
Thomas KS, Dosa D, Gozalo PL
A methodology to identify a cohort of Medicare beneficiaries residing in large assisted living facilities using administrative data.
The purpose of this study was to develop and test a methodology to identify Medicare beneficiaries residing in assisted living facilities (ALFs). To this end, the investigators compiled a finder file of 9-digit ZIP codes representing large ALFs (25+ beds) by matching Outcome and Assessment Information Set (OASIS) assessments and Medicare Part B Claims to the Medicare enrollment records and addresses of 11,751 ALFs.
AHRQ-funded; HS000011.
Citation: Thomas KS, Dosa D, Gozalo PL .
A methodology to identify a cohort of Medicare beneficiaries residing in large assisted living facilities using administrative data.
Med Care 2018 Feb;56(2):e10-e15. doi: 10.1097/mlr.0000000000000659..
Keywords: Data, Medicare, Research Methodologies
Woloshin S, Schwartz LM, Bagley PJ
Characteristics of interim publications of randomized clinical trials and comparison with final publications.
The authors describe the characteristics of interim publications from ongoing randomized trials and compare their consistency and prominence with those of final publications. They conclude that interim publication should be limited to protocol prespecified analyses performed when enough outcomes occurred for statistical stability and to scenarios least likely to undermine trial integrity.
AHRQ-funded; HS024075.
Citation: Woloshin S, Schwartz LM, Bagley PJ .
Characteristics of interim publications of randomized clinical trials and comparison with final publications.
JAMA 2018 Jan 23;319(4):404-06. doi: 10.1001/jama.2017.20653.
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Keywords: Data, Patient-Centered Outcomes Research, Research Methodologies