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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 25 of 74 Research Studies DisplayedReimer T, Lee SJC, Garcia S
Cancer center clinic and research team perceptions of identity and interactions.
The purpose of this study was to determine perceptions of roles of cancer center clinic and research teams. The researchers developed and administered survey to research and clinic staff at a National Cancer Institute-designated comprehensive cancer center. Although there are many similarities between clinic and research teams, the researchers also identified key differences, including perceptions of goal clarity and sharing, understanding and alignment with cancer center goals, and importance of outcomes.
AHRQ-funded; HS022418.
Citation: Reimer T, Lee SJC, Garcia S .
Cancer center clinic and research team perceptions of identity and interactions.
J Oncol Pract 2017 Dec;13(12):e1021-e29. doi: 10.1200/jop.2017.024349..
Keywords: Cancer, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Research Methodologies
Cosgrove L, Krimsky S, Wheeler EE
Conflict of interest policies and industry relationships of guideline development group members: A cross-sectional study of clinical practice guidelines for depression.
The purpose of the present study was to assess a) the disclosure requirements of guideline development groups in a cross-section of guidelines for major depression; and, b) the extent and type of conflicts of panel members. It found that most of the guidelines were developed by panels that had members with industry financial ties to drug companies that manufacture antidepressant medication.
AHRQ-funded; HS022940.
Citation: Cosgrove L, Krimsky S, Wheeler EE .
Conflict of interest policies and industry relationships of guideline development group members: A cross-sectional study of clinical practice guidelines for depression.
Account Res 2017;24(2):99-115. doi: 10.1080/08989621.2016.1251319.
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Keywords: Medication, Depression, Guidelines, Behavioral Health, Research Methodologies
Wang L, Topaz M, Plasek JM
Content and trends in medical informatics publications over the past two decades.
This study aims to identify subject content and trends in the medical informatics literature in order to shed light on the past, current, and future directions of diverse education and research activities. It found 73 core topics and 72 new topics of medical informatics within three relevant MeSH categories (informatics, techniques, and healthcare).
AHRQ-funded; HS022728; HS024264.
Citation: Wang L, Topaz M, Plasek JM .
Content and trends in medical informatics publications over the past two decades.
Stud Health Technol Inform 2017;245:968-72.
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Keywords: Education: Continuing Medical Education, Health Information Technology (HIT), Health Information Technology (HIT), Research Methodologies
Serang S, Jacobucci R, Brimhall KC
Exploratory mediation analysis via regularization.
The researchers propose a two-stage approach called exploratory mediation analysis via regularization (XMed). They demonstrate that this approach is able to correctly identify mediators more often than conventional approaches and that its estimates are unbiased. Finally, their approach is illustrated through an empirical example examining the relationship between college acceptance and enrollment.
AHRQ-funded; HS024650.
Citation: Serang S, Jacobucci R, Brimhall KC .
Exploratory mediation analysis via regularization.
Struct Equ Modeling 2017;24(5):733-44. doi: 10.1080/10705511.2017.1311775.
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Keywords: Health Services Research (HSR), Research Methodologies
Pak K, Uno H, Kim DH
Interpretability of cancer clinical trial results using restricted mean survival time as an alternative to the hazard ratio.
To discuss issues of conventional trial design and analysis and to present alternatives to the hazard ratio (HR) using a recent immunotherapy study as an illustrative example. The investigators suggest that the design and analysis of a conventional cancer clinical trial can be improved by adopting a robust statistical procedure that enables clinically meaningful interpretations of the treatment effect.
AHRQ-funded; HS022193.
Citation: Pak K, Uno H, Kim DH .
Interpretability of cancer clinical trial results using restricted mean survival time as an alternative to the hazard ratio.
JAMA Oncol 2017 Dec;3(12):1692-96. doi: 10.1001/jamaoncol.2017.2797..
Keywords: Cancer, Research Methodologies
Lou Y, Cao J, Zhang S
Sample size calculations for time-averaged difference of longitudinal binary outcomes.
In this study, the researchers investigated sample size calculation for the comparison of time-averaged responses between treatment groups in clinical trials with longitudinally observed binary outcomes. Their simulation showed that the nominal power and type I error are well preserved over a wide range of design parameters. The researchers believe that theirs is the first study to consider the mixture of missing patterns in sample size calculation.
AHRQ-funded; HS022418.
Citation: Lou Y, Cao J, Zhang S .
Sample size calculations for time-averaged difference of longitudinal binary outcomes.
Commun Stat Theory Methods 2017;46(1):344-53. doi: 10.1080/03610926.2014.991040.
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Keywords: Research Methodologies, Comparative Effectiveness, Outcomes
Cohen KB, Goss FR, Zweigenbaum P
Translational morphosyntax: distribution of negation in clinical records and biomedical journal articles.
This paper describes the distribution of negation in two types of biomedical texts: scientific journal articles and progress notes. Two types of negation are examined: explicit negation at the syntactic level and affixal negation at the sub-word level. The data show that the distribution of negation is significantly different in the two document types.
AHRQ-funded; HS024541.
Citation: Cohen KB, Goss FR, Zweigenbaum P .
Translational morphosyntax: distribution of negation in clinical records and biomedical journal articles.
Stud Health Technol Inform 2017;245:346-50.
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Keywords: Data, Health Information Technology (HIT), Research Methodologies
Ji X, Machiraju R, Ritter A
Visualizing article similarities via sparsified article network and map projection for systematic reviews.
In this study, the authors visualized article similarities to extend its utilization in practical settings for SR researchers, aiming to promote human comprehension of article distributions and hidden patterns. To prompt an effective visualization in an interpretable, intuitive, and scalable way, they implemented a graph-based network visualization with three network sparsification approaches and a distance-based map projection via dimensionality reduction.
AHRQ-funded; HS025047.
Citation: Ji X, Machiraju R, Ritter A .
Visualizing article similarities via sparsified article network and map projection for systematic reviews.
Stud Health Technol Inform 2017;245:422-26.
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Keywords: Data, Evidence-Based Practice, Health Services Research (HSR), Research Methodologies
Wallace BC, Noel-Storr A, Marshall IJ
Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.
Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. In this study, the investigators aimed to make this process more efficient via a hybrid approach using both crowdsourcing and ML.
AHRQ-funded; HS025024.
Citation: Wallace BC, Noel-Storr A, Marshall IJ .
Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.
J Am Med Inform Assoc 2017 Nov 1;24(6):1165-68. doi: 10.1093/jamia/ocx053..
Keywords: Data, Research Methodologies
Heerman WJ, Jackson N, Roumie CL
Recruitment methods for survey research: findings from the Mid-South Clinical Data Research Network.
The objective of this study was to report survey response rates and demographic characteristics of eight recruitment approaches to determine acceptability and effectiveness of large-scale patient recruitment among various populations. The study concluded that technology-enabled recruitment approaches such as registries and emails are effective for recruiting but may yield less racial/ethnic diversity compared to traditional, more time-intensive approaches.
AHRQ-funded; HS022990.
Citation: Heerman WJ, Jackson N, Roumie CL .
Recruitment methods for survey research: findings from the Mid-South Clinical Data Research Network.
Contemp Clin Trials 2017 Nov;62:50-55. doi: 10.1016/j.cct.2017.08.006..
Keywords: Patient-Centered Outcomes Research, Research Methodologies, Racial and Ethnic Minorities, Social Determinants of Health
Kim DH, Uno H, Wei J
Restricted mean survival time as a measure to interpret clinical trial results.
In this article, the investigators explain how different measures of treatment effect are interpreted for evidence-based communication, and their caveats, using the 5-year follow- up data from the Placement of Aortic Transcatheter Valves (PARTNER) A and B trials as an example.
AHRQ-funded; HS022193.
Citation: Kim DH, Uno H, Wei J .
Restricted mean survival time as a measure to interpret clinical trial results.
JAMA Cardiol 2017 Nov;2(11):1179-80. doi: 10.1001/jamacardio.2017.2922..
Keywords: Cardiovascular Conditions, Evidence-Based Practice, Research Methodologies
Kelly G, Wang SY, Lucas G
Facilitating meaningful engagement on community advisory committees in patient-centered outcome research.
In this study, the investigators conducted a process evaluation of ongoing activities of a Patient Advisory Committee (PAC) formed around the development of an individualized decision aid for older women with early stage breast cancer. They indicated that their results suggested that engaging committee members in a process of evaluation and collective reflection during a research collaboration can break down barriers to collaboration, build relationships, create opportunities for co-learning and strengthen researchers' capacity to engage meaningfully with stakeholders.
AHRQ-funded; HS023900.
Citation: Kelly G, Wang SY, Lucas G .
Facilitating meaningful engagement on community advisory committees in patient-centered outcome research.
Prog Community Health Partnersh 2017;11(3):243-51. doi: 10.1353/cpr.2017.0029..
Keywords: Cancer, Cancer: Breast Cancer, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Research Methodologies
Angraal S, Ross JS, Dhruva SS
Merits of data sharing: The Digitalis Investigation Group Trial.
This letter discusses the merits of data sharing, such as its importance in maximizing what can be learned from clinical trials. The letter describes The DIG (Digitalis Investigation Group) trial as an ideal o assess the effects of data sharing.
AHRQ-funded; HS023000.
Citation: Angraal S, Ross JS, Dhruva SS .
Merits of data sharing: The Digitalis Investigation Group Trial.
J Am Coll Cardiol 2017 Oct 3;70(14):1825-27. doi: 10.1016/j.jacc.2017.07.786..
Keywords: Data, Patient-Centered Outcomes Research, Research Methodologies
Erves JC, Mayo-Gamble TL, Hull PC
Adolescent participation in HPV vaccine clinical trials: are parents willing?
This study examined factors influencing parental willingness to consent to their adolescents' participation in HPV vaccine clinical trials and tested for possible racial differences. The authors assert that educating parents about the advantages of HPV vaccines for younger adolescents using low-literacy educational materials and building trust between parents and researchers may increase parental willingness to consent to adolescent participation in HPV vaccine clinical trials.
AHRQ-funded; HS022990.
Citation: Erves JC, Mayo-Gamble TL, Hull PC .
Adolescent participation in HPV vaccine clinical trials: are parents willing?
J Community Health 2017 Oct;42(5):894-901. doi: 10.1007/s10900-017-0331-x..
Keywords: Children/Adolescents, Research Methodologies, Vaccination
Guise JM, Chang C, Butler M
AHRQ Author: Chang C
AHRQ series on complex intervention systematic reviews-paper 1: an introduction to a series of articles that provide guidance and tools for reviews of complex interventions.
The seven articles in this series reflect and distill the discussions from the in-person meeting and follow-up workgroups on tools and approaches to systematic reviews of complex interventions. The first three articles address how systematic reviews for complex interventions are conceptualized and operationalized for the protocol. The next two articles discuss how to choose appropriate analytic methods to implement analyses of complex interventions. The final two articles describe proposed reporting elements for systematic reviews of complex interventions.
AHRQ-authored; AHRQ-funded; 290201200004C; 290201200016I; 290201500011I.
Citation: Guise JM, Chang C, Butler M .
AHRQ series on complex intervention systematic reviews-paper 1: an introduction to a series of articles that provide guidance and tools for reviews of complex interventions.
J Clin Epidemiol 2017 Oct;90:6-10. doi: 10.1016/j.jclinepi.2017.06.011.
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Keywords: Data, Evidence-Based Practice, Guidelines, Research Methodologies
Kelly MP, Noyes J, Kane RL
AHRQ Author: Chang C
AHRQ series on complex intervention systematic reviews-paper 2: defining complexity, formulating scope, and questions.
This paper builds on concepts introduced in paper 1 of this series. It describes the methodological, practical, and philosophical challenges and potential approaches for formulating the questions and scope of systematic reviews of complex interventions. Furthermore, it discusses the use of theory to help organize reviews of complex interventions.
AHRQ-authored; AHRQ-funded; 290-2012-00004-C; 290-2015-00008I; 290-2015-00011I.
Citation: Kelly MP, Noyes J, Kane RL .
AHRQ series on complex intervention systematic reviews-paper 2: defining complexity, formulating scope, and questions.
J Clin Epidemiol 2017 Oct;90:11-18. doi: 10.1016/j.jclinepi.2017.06.012.
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Keywords: Data, Evidence-Based Practice, Guidelines, Research Methodologies
Butler M, Epstein RA, Totten A
AHRQ series on complex intervention systematic reviews-paper 3: adapting frameworks to develop protocols.
This article identifies and describes elements of frameworks and how they can be adapted to inform the protocol and conduct of systematic reviews of complex interventions. Possible approaches to analytic frameworks for complex interventions that illustrate causal and associative linkages are outlined, including time elements, which systematic reviews of complex interventions may need to address.
AHRQ-funded; 290201200004C; 290201500008I; 290201500005I; 290201500006I; 290201500010I.
Citation: Butler M, Epstein RA, Totten A .
AHRQ series on complex intervention systematic reviews-paper 3: adapting frameworks to develop protocols.
J Clin Epidemiol 2017 Oct;90:19-27. doi: 10.1016/j.jclinepi.2017.06.013.
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Keywords: Comparative Effectiveness, Evidence-Based Practice, Patient-Centered Outcomes Research, Research Methodologies
Viswanathan M, McPheeters ML, Murad MH
AHRQ series on complex intervention systematic reviews-paper 4: selecting analytic approaches.
This article addresses the uncertainty that systematic reviewers face in selecting methods for reviews of complex interventions. Specifically, it lays out parameters for systematic reviewers to consider when selecting analytic approaches that best answer the questions at hand and suggests analytic techniques that may be appropriate in different circumstances.
AHRQ-funded; 290201200004C.
Citation: Viswanathan M, McPheeters ML, Murad MH .
AHRQ series on complex intervention systematic reviews-paper 4: selecting analytic approaches.
J Clin Epidemiol 2017 Oct;90:28-36. doi: 10.1016/j.jclinepi.2017.06.014.
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Keywords: Data, Evidence-Based Practice, Guidelines, Research Methodologies
Pigott T, Noyes J, Umscheid CA
AHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methods.
In this paper, the authors emphasize that the specific research question posed in the review should be used as a guide for choosing the appropriate analytic method. They present advanced analytic approaches that address some common questions that guide reviews of complex interventions such as: (1) How effective is the intervention? and (2) For whom does the intervention work and in what contexts?
AHRQ-funded; 290-2012-00004C; 290-2015-00005I; 290-2015-00004I; 290-2015-00009I; 290-2015-00013I; 290-2015-00011I; 290-2015-00003I.
Citation: Pigott T, Noyes J, Umscheid CA .
AHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methods.
J Clin Epidemiol 2017 Oct;90:37-42. doi: 10.1016/j.jclinepi.2017.06.015.
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Keywords: Decision Making, Evidence-Based Practice, Guidelines, Research Methodologies
Guise JM, Butler ME, Chang C
AHRQ series on complex intervention systematic reviews-paper 6: PRISMA-CI extension statement and checklist.
This paper provides a stand-alone extension to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting tool for complex interventions-PRISMA-CI-to help authors, publishers, and readers understand and apply to systematic reviews of complex interventions. PRISMA-CI development followed the Enhancing the QUAlity and Transparency Of health Research Network guidance for extensions and focused on adding or modifying only essential items.
AHRQ-funded; 290201200004C; 290201200016I; 290201500011I.
Citation: Guise JM, Butler ME, Chang C .
AHRQ series on complex intervention systematic reviews-paper 6: PRISMA-CI extension statement and checklist.
J Clin Epidemiol 2017 Oct;90:43-50. doi: 10.1016/j.jclinepi.2017.06.016.
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Keywords: Evidence-Based Practice, Guidelines, Patient-Centered Outcomes Research, Research Methodologies
Guise JM, Butler M, Chang C
AHRQ Author: Chang C
AHRQ series on complex intervention systematic reviews-paper 7: PRISMA-CI elaboration and explanation.
The Complex Interventions Methods Workgroup developed an extension to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Complex Interventions (PRISMA-CI). Following the guidance for Preferred Reporting Items for Systematic Reviews and Meta-Analysis extensions, this Explanation and Elaboration (EE) document accompanies the PRISMA-CI checklist to promote consistency in reporting of systematic reviews of complex interventions.
AHRQ-authored; AHRQ-funded; 290201200004C; 290201200016I; 290201500011I.
Citation: Guise JM, Butler M, Chang C .
AHRQ series on complex intervention systematic reviews-paper 7: PRISMA-CI elaboration and explanation.
J Clin Epidemiol 2017 Oct;90:51-58. doi: 10.1016/j.jclinepi.2017.06.017.
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Keywords: Data, Evidence-Based Practice, Guidelines, Research Methodologies
Braun D, Gorfine M, Parmigiani G
Propensity scores with misclassified treatment assignment: a likelihood-based adjustment.
The researchers show that misclassification of treatment assignment can impact three distinct stages of a propensity score analysis. They examine how error in the treatment assignment impacts each stage in the context of three common propensity score implementations: subclassification, matching, and inverse probability of treatment weighting (IPTW). They propose a two-step likelihood-based approach which fully adjusts for treatment misclassification bias under subclassification
AHRQ-funded; HS021991.
Citation: Braun D, Gorfine M, Parmigiani G .
Propensity scores with misclassified treatment assignment: a likelihood-based adjustment.
Biostatistics 2017 Oct 1;18(4):695-710. doi: 10.1093/biostatistics/kxx014.
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Keywords: Comparative Effectiveness, Evidence-Based Practice, Patient-Centered Outcomes Research, Research Methodologies
Landsittel DP, Kessler L, Schmid CH
Training in patient-centered outcomes research for specific researcher communities.
A number of publications have discussed approaches to training the scientific workforce in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR). To extend these efforts into specific researcher communities, the AHRQ developed a Funding Opportunity Announcement that called for training for a specific researcher community in collaboration with associated program partners. This paper describes the strategies developed by the 5 subsequently funded programs, and the challenges associated with developing in-person and online programs.
AHRQ-funded; HS023214; HS023199; HS023299; HS023207; HS023185.
Citation: Landsittel DP, Kessler L, Schmid CH .
Training in patient-centered outcomes research for specific researcher communities.
J Clin Transl Sci 2017 Oct;1(5):278-84. doi: 10.1017/cts.2017.307.
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Keywords: Comparative Effectiveness, Evidence-Based Practice, Patient-Centered Outcomes Research, Research Methodologies, Training
Mortensen ML, Adam GP, Trikalinos TA
An exploration of crowdsourcing citation screening for systematic reviews.
This study explored the use of crowdsourcing (distributing tasks to untrained workers via the web) to reduce the cost of screening citations. Crowdworkers completed screening in 4 to 17 days, costing $460 to $2220, a cost reduction of up to 88 percent compared to trained experts. Crowdsourcing may represent a useful approach to reducing the cost of identifying literature for systematic reviews.
AHRQ-funded; HS025024.
Citation: Mortensen ML, Adam GP, Trikalinos TA .
An exploration of crowdsourcing citation screening for systematic reviews.
Res Synth Methods 2017 Sep;8(3):366-86. doi: 10.1002/jrsm.1252.
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Keywords: Evidence-Based Practice, Health Services Research (HSR), Research Methodologies
Bashir R, Bourgeois FT, Dunn AG
A systematic review of the processes used to link clinical trial registrations to their published results.
Studies measuring the completeness and consistency of trial registration and reporting rely on linking registries with bibliographic databases. In this systematic review, the researchers quantified the processes used to identify these links. In 43 studies that examined cohorts of registry entries, 24 used automatic and manual processes to find articles; 3 only automatic; and 11 only manual (5 did not specify).
AHRQ-funded; HS024798.
Citation: Bashir R, Bourgeois FT, Dunn AG .
A systematic review of the processes used to link clinical trial registrations to their published results.
Syst Rev 2017 Jul 3;6(1):123. doi: 10.1186/s13643-017-0518-3.
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Keywords: Evidence-Based Practice, Research Methodologies, Data