Browsing by Subject "Knowledge translation"

Now showing 1 - 3 of 3
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    Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach
    (BioMed Central, 2016-08-05) Surkis, Alisa; Hogle, Janice A.; DiazGranados, Deborah; Hunt, Joe D.; Mazmanian, Paul E.; Connors, Emily; Westaby, Kate; Whipple, Elizabeth C.; Adamus, Trisha; Mueller, Meredith; Aphinyanaphongs, Yindalon; Ruth Lilly Medical Library, IU School of Medicine
    BACKGROUND: Translational research is a key area of focus of the National Institutes of Health (NIH), as demonstrated by the substantial investment in the Clinical and Translational Science Award (CTSA) program. The goal of the CTSA program is to accelerate the translation of discoveries from the bench to the bedside and into communities. Different classification systems have been used to capture the spectrum of basic to clinical to population health research, with substantial differences in the number of categories and their definitions. Evaluation of the effectiveness of the CTSA program and of translational research in general is hampered by the lack of rigor in these definitions and their application. This study adds rigor to the classification process by creating a checklist to evaluate publications across the translational spectrum and operationalizes these classifications by building machine learning-based text classifiers to categorize these publications. METHODS: Based on collaboratively developed definitions, we created a detailed checklist for categories along the translational spectrum from T0 to T4. We applied the checklist to CTSA-linked publications to construct a set of coded publications for use in training machine learning-based text classifiers to classify publications within these categories. The training sets combined T1/T2 and T3/T4 categories due to low frequency of these publication types compared to the frequency of T0 publications. We then compared classifier performance across different algorithms and feature sets and applied the classifiers to all publications in PubMed indexed to CTSA grants. To validate the algorithm, we manually classified the articles with the top 100 scores from each classifier. RESULTS: The definitions and checklist facilitated classification and resulted in good inter-rater reliability for coding publications for the training set. Very good performance was achieved for the classifiers as represented by the area under the receiver operating curves (AUC), with an AUC of 0.94 for the T0 classifier, 0.84 for T1/T2, and 0.92 for T3/T4. CONCLUSIONS: The combination of definitions agreed upon by five CTSA hubs, a checklist that facilitates more uniform definition interpretation, and algorithms that perform well in classifying publications along the translational spectrum provide a basis for establishing and applying uniform definitions of translational research categories. The classification algorithms allow publication analyses that would not be feasible with manual classification, such as assessing the distribution and trends of publications across the CTSA network and comparing the categories of publications and their citations to assess knowledge transfer across the translational research spectrum.
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    Development and Results of an Implementation Plan for High-Intensity Gait Training
    (Wolters Kluwer, 2021) Moore, Jennifer L.; Bø, Elisabeth; Erichsen, Anne; Rosseland, Ingvild; Halvorsen, Joakim; Bratlie, Hanne; Hornby, T. George; Nordvik, Jan Egil; Physical Medicine and Rehabilitation, School of Medicine
    Background and purpose: High-intensity gait training is recommended in stroke rehabilitation to improve gait speed, walking distance, and balance. However, identifying effective and efficient implementation methods is a challenge for rehabilitation providers. This article describes the development of an implementation plan, presents findings of each implementation phase, and identifies the project's impact on clinicians and the health system. Methods: Two inpatient rehabilitation facilities, including 9 physical therapists, collaborated with a knowledge translation center to implement this program. We developed an implementation plan using the Knowledge-to-Action Framework and utilized the Consolidated Framework for Implementation Research to identify barriers and select implementation strategies. Using mix-methods research, including surveys and informal discussions, we evaluated current practice, barriers, outcomes, and the sustainability of high-intensity gait training in practice. Results: A multicomponent implementation plan that targeted barriers was developed. Before implementation, clinicians reported providing several balance, strength training, and gait interventions to improve walking. Barriers to using high-intensity gait training included knowledge, beliefs, adaptability of high-intensity gait training, resources, culture, and others. Twenty-six implementation strategies were selected to target the barriers. Surveys and informal discussions identified significant changes in perceived practice, adoption of high-intensity gait training, and positive impacts on the health system. The 2-year follow-up survey indicated that the new practice was sustained. Discussion and conclusions: Using a multicomponent implementation plan that targeted barriers, we successfully implemented high-intensity gait training in clinical practice. Contributors to successful implementation may include the implementation methods, usual care interventions, and clinicians' readiness for this change. Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A352.).
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    Full-text publication of abstract-presented work in sport and exercise psychology
    (BMJ Publishing Group, 2018-03-28) Shue, Sarah; Warden, Stuart; Health Sciences, School of Health and Rehabilitation Sciences
    Objectives: Meetings promote information sharing, but do not enable full dissemination of details. A systematic search was conducted for abstracts presented at the 2010 and 2011 Association of Applied Sport Psychology Annual Conferences to determine the full-text dissemination rate of work presented in abstract form and investigate factors influencing this rate. Methods: Systematic searches were sequentially conducted to determine whether the abstract-presented work had been published in full-text format in the 5 years following presentation. If a potential full-text publication was identified, information from the conference abstract (eg, results, number of participants in the sample(s), measurement tools used and so on) was compared with the full text to ensure the two entities represented the same body of work. Abstract factors of interest were assessed using logistic regression. Results: Ninety-four out of 423 presented abstracts (22.2%) were published in full text. Odds of full-text publication increased if the abstract was from an international institution, presented in certain conference sections or presented as a lecture. Conclusion: Those attending professional conferences should be cautious when translating data presented at conferences into their applied work because of the low rate of peer-reviewed and full-text publication of the information.