Streamlining Trauma Research Evaluation With Advanced Measurement (STREAM) Study: Implementation of the PROMIS Toolbox Within an Orthopaedic Trauma Clinical Trials Consortium

IntroductionEffective translational research requires engagement and collaboration between communities, researchers, and practitioners. We describe a community scientist academy (CSA) developed at the suggestion of our Clinical and Translational Science Awards’ (CTSA) community advisory board to engage and capacitate community members by (1) increasing community members’ and patients’ understanding about the research process and (2) increasing their access to opportunities to influence and participate in research. A joint CTSA/community planning committee developed this 8-hour workshop including sessions on: (1) research definitions and processes; (2) study design; (3) study implementation; and (4) ways to get involved in research. The workshop format includes interactive exercises, content slides and videos, and researcher and community presenters.MethodsCommunity-based information sessions allowed assessment of community interest before piloting. Two pilots of the CSA were conducted with community members and patients. Participant data and a pre/post knowledge and feedback survey provide evaluation data.ResultsThe pilot included 24 diverse participants, over half of whom had not previously participated in research. Evaluation data suggest knowledge gains. Post-CSA, one-third have reviewed CTSA pilot grants and over 80% want to attend further training.ConclusionsThe CSA can demystify the research process for those underrepresented in research and facilitate their engagement and influence within CTSAs.

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Patient-Reported Outcome Measurement Information System (PROMIS) in Orthopaedic Trauma Research

SICOT-J ◽

10.1051/sicotj/2021035 ◽

2021 ◽

Vol 7 ◽

pp. 39

Author(s):

Colin P. Sperring ◽

Nicholas C. Danford ◽

Bryan M. Saltzman ◽

Michael Constant ◽

Nicholas J. Dantzker ◽

...

Keyword(s):

Information System ◽

Clinical Decision Making ◽

Outcome Measurement ◽

Patient Reported Outcome ◽

Measurement Information ◽

Orthopaedic Trauma ◽

Trauma Research ◽

Advantages And Disadvantages ◽

Patient Reported ◽

Measurement Information System

This review describes the development, advantages and disadvantages, and applications of the Patient-Reported Outcome Measurement Information System (PROMIS) in orthopaedic trauma. PROMIS is a useful tool for quantifying outcomes in orthopedic trauma. It allows measurement of outcomes across multiple domains while minimizing administration time. PROMIS also reliably identifies clinical, social, and psychological risk factors for poor outcomes across a variety of orthopaedic injuries and disease states. However, PROMIS lacks specificity for certain anatomic regions and validation for mental health outcomes. It also is limited by ceiling effects in certain active patient populations. Orthopaedic traumatologists should be familiar with PROMIS, as its use is increasing and it is a valuable tool that can aid in clinical decision making.

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Dimensions: Bringing down barriers between scientometricians and data

Quantitative Science Studies ◽

10.1162/qss_a_00020 ◽

2020 ◽

Vol 1 (1) ◽

pp. 387-395 ◽

Cited By ~ 10

Author(s):

Christian Herzog ◽

Daniel Hook ◽

Stacy Konkiel

Keyword(s):

Clinical Trials ◽

Research Evaluation ◽

Institutional Support ◽

Data Access ◽

Limited Data ◽

Research Information ◽

Policy Documents ◽

Evaluation Practices ◽

Information Objects

Until recently, comprehensive scientometrics data has been made available only in siloed, subscription-based tools that are inaccessible to researchers who lack institutional support and resources. As a result of limited data access, research evaluation practices have focused upon basic indicators that only take publications and their citation rates into account. This has blocked innovation on many fronts. Dimensions is a database that links and contextualizes different research information objects. It brings together data describing and linking awarded grants, clinical trials, patents, and policy documents, as well as altmetric information, alongside traditional publications and citations data. This article describes the approach that Digital Science is taking to support the scientometric community, together with the various Dimensions tools available to researchers who wish to use Dimensions data in their research at no cost.

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Blinding of Outcomes in Trials of Orthopaedic Trauma: An Opportunity to Enhance the Validity of Clinical Trials

The Journal of Bone and Joint Surgery (American) ◽

10.2106/jbjs.g.00963 ◽

2008 ◽

Vol 90 (5) ◽

pp. 1026-1033 ◽

Cited By ~ 39

Author(s):

Paul J. Karanicolas ◽

Mohit Bhandari ◽

Behzad Taromi ◽

Elie A. Akl ◽

Dirk Bassler ◽

...

Keyword(s):

Clinical Trials ◽

Orthopaedic Trauma

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Gunshot induced injuries in orthopaedic trauma research. A bibliometric analysis of the most influential literature

Orthopaedics & Traumatology Surgery & Research ◽

10.1016/j.otsr.2017.05.002 ◽

2017 ◽

Vol 103 (5) ◽

pp. 801-807 ◽

Cited By ~ 6

Author(s):

M. Held ◽

E. Engelmann ◽

R. Dunn ◽

S.S. Ahmad ◽

M. Laubscher ◽

...

Keyword(s):

Bibliometric Analysis ◽

Orthopaedic Trauma ◽

Trauma Research

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Statistical Fragility of Surgical Clinical Trials in Orthopaedic Trauma

JAAOS Global Research and Reviews ◽

10.5435/jaaosglobal-d-20-00197 ◽

2021 ◽

Vol 5 (11) ◽

Author(s):

Lynn Ann Forrester ◽

Kyle L. McCormick ◽

Lisa Bonsignore-Opp ◽

Liana J. Tedesco ◽

Eric S. Baranek ◽

...

Keyword(s):

Clinical Trials ◽

Orthopaedic Trauma

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Virtual Structural Analysis of Tibial Fracture Healing from Low-Dose Clinical CT Scans

10.31224/osf.io/7c8kz ◽

2018 ◽

Author(s):

Peter Schwarzenberg ◽

Hannah L. Dailey

Keyword(s):

Structural Analysis ◽

Fracture Healing ◽

Bone Healing ◽

Structural Integrity ◽

Torsional Rigidity ◽

Torsion Test ◽

Ct Scans ◽

Orthopaedic Trauma ◽

Element Analysis ◽

Trauma Research

Quantitative assessment of bone fracture healing remains a significant challenge in orthopaedic trauma research. Accordingly, we developed a new technique for assessing bone healing using virtual mechano-structural analysis of computed tomography (CT) scans. CT scans from 19 fractured human tibiae at 12 weeks after surgery were segmented and prepared for finite element analysis (FEA). Boundary conditions were applied to the models to simulate a torsion test that is commonly used to access the structural integrity of long bones in animal models of fracture healing. The output of each model was the virtual torsional rigidity (VTR) of the healing zone, normalized to the torsional rigidity of each patient’s virtually reconstructed tibia. This provided a structural measure to track the percentage of healing each patient had undergone. Callus morphometric measurements were also collected from the CT scans. Results showed that at 12 weeks post-op, more than 75% of patients achieved a normalized VTR (torsional rigidity relative to uninjured bone) of 85% or above. The predicted intact torsional rigidities compared well with published cadaveric data. Across all patients, callus volume and density were weakly and non-significantly correlated with normalized VTR and time to clinical union. Conversely, normalized VTR was significantly correlated with time to union (R2 = 0.383, p = 0.005). This suggests that fracture scoring methods based on the visual appearance of callus may not accurately predict mechanical integrity. The image-based structural analysis presented here may be a useful technique for assessment of bone healing in orthopaedic trauma research.

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