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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 7 of 7 Research Studies DisplayedDagne 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
Kahwati L, Viswanathan M, Golin CE
Identifying configurations of behavior change techniques in effective medication adherence interventions: a qualitative comparative analysis.
The researchers aimed to extend the results from an existing systematic review of interventions to improve medication adherence by using qualitative comparative analysis (QCA) to identify necessary or sufficient configurations of behavior change techniques among effective interventions. They were able to identify seven configurations of behavior change techniques sufficient for improving adherence, which together accounted for 26 (76 percent) of the effective studies.
AHRQ-funded; HS022563.
Citation: Kahwati L, Viswanathan M, Golin CE .
Identifying configurations of behavior change techniques in effective medication adherence interventions: a qualitative comparative analysis.
Syst Rev 2016 May 4;5:83. doi: 10.1186/s13643-016-0255-z.
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Keywords: Medication, Patient Adherence/Compliance, Research Methodologies, Comparative Effectiveness, Behavioral Health
Kahwati L, Jacobs S, Kane H
Using qualitative comparative analysis in a systematic review of a complex intervention.
The objective of this study was to describe in detail and examine the suitability of using qualitative comparative analysis (QCA) within the context of a systematic review. It concluded that QCA was suitable for use within a systematic review of medication adherence interventions and offered insights beyond the single dimension stratifications used in the original completed review.
AHRQ-funded; HS022563.
Citation: Kahwati L, Jacobs S, Kane H .
Using qualitative comparative analysis in a systematic review of a complex intervention.
Syst Rev 2016 May 4;5:82. doi: 10.1186/s13643-016-0256-y.
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Keywords: Medication, Patient Adherence/Compliance, Research Methodologies, Comparative Effectiveness, Behavioral Health
Ertefaie A, Small D, Flory J
Selection bias when using instrumental variable methods to compare two treatments but more than two treatments are available.
The authors discuss how instrumental variable methods may result in biased treatment effects if applied on a data set in which subjects are preselected based on their received treatments. They applied their method on The Health Improvement Network (THIN) database to estimate the comparative effect of metformin and sulfonylureas on weight gain among patients with diabetes.
AHRQ-funded; HS023898.
Citation: Ertefaie A, Small D, Flory J .
Selection bias when using instrumental variable methods to compare two treatments but more than two treatments are available.
Int J Biostat 2016 May 1;12(1):219-32. doi: 10.1515/ijb-2015-0006.
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Keywords: Research Methodologies, Comparative Effectiveness, Patient-Centered Outcomes Research
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
Mehta HB, Dimou F, Adhikari D
Comparison of comorbidity scores in predicting surgical outcomes.
The purpose of this study was to compare diagnosis-based and prescription-based comorbidity scores for predicting surgical outcomes. It concluded that the Centers for Medicare and Medicaid Services-Hierarchical Condition Categories had superior performance in predicting surgical outcomes. Prescription-based scores, alone or in addition to diagnosis-based scores, were not better than any diagnosis-based scoring system.
AHRQ-funded; HS022134.
Citation: Mehta HB, Dimou F, Adhikari D .
Comparison of comorbidity scores in predicting surgical outcomes.
Med Care 2016 Feb;54(2):180-7. doi: 10.1097/mlr.0000000000000465..
Keywords: Comparative Effectiveness, Surgery, Research Methodologies, Diagnostic Safety and Quality, Adverse Events
Chen Y, Hong C, Ning Y
Meta-analysis of studies with bivariate binary outcomes: a marginal beta-binomial model approach.
In this paper, the researchers propose a marginal beta-binomial model for the meta-analysis of studies with binary outcomes. This model is based on the composite likelihood approach and has several attractive features compared with the existing models such as bivariate generalized linear mixed model (Chu and Cole, 2006) and Sarmanov beta-binomial model (Chen et al., 2012).
AHRQ-funded; HS022900.
Citation: Chen Y, Hong C, Ning Y .
Meta-analysis of studies with bivariate binary outcomes: a marginal beta-binomial model approach.
Stat Med 2016 Jan 15;35(1):21-40. doi: 10.1002/sim.6620.
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Keywords: Research Methodologies, Comparative Effectiveness