KU Scholarly Papers Funded by the KU Open Access Fund
https://hdl.handle.net/1808/11675
2024-03-29T13:50:23ZReturn to Sport After Turf Toe Injuries: A Systematic Review and Meta-analysis
https://hdl.handle.net/1808/34457
Return to Sport After Turf Toe Injuries: A Systematic Review and Meta-analysis
Vopat, Matthew L.; Hassan, Maaz; Poppe, Tanner; Tarakemeh, Armin; Zackula, Rosey; Mulcahey, Mary K.; Mullen, Scott; Burkholder, Rick; Schroeppel, John Paul; Vopat, Bryan G.
Background:
The prevalence of turf toe injuries has increased in recent years. However, uncertainty remains as to how to optimally treat turf toe injuries and the implications that the severity of the injury has on outcomes, specifically return to sport (RTS).
Purpose:
To determine RTS based on treatment modality and to provide clinicians with additional information when comparing operative versus nonoperative treatment of turf toe injuries in athletes.
Study Design:
Systematic review; Level of evidence, 4.
Methods:
A systematic review and meta-analysis was performed using the PubMed/Ovid MEDLINE/PubMed Central databases (May 1964 to August 2018) per PRISMA-IPD (Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Individual Participant Data) guidelines. RTS, treatment, severity of injury, athletic position, and sport were recorded and analyzed.
Results:
Of 858 identified studies, 12 met the criteria for the final meta-analysis. The studies included 112 athletes sustaining a total of 121 turf toe injuries; 63 (52.1%) of these injuries were treated surgically, while 58 (47.9%) were treated nonoperatively, and 53.7% were classified by the grade of injury (grade I, n = 1; grade II, n = 9; grade III, n = 55). Overall, 56 (46.3%) injuries could not be classified based on the data provided and were excluded from the final analysis. The median time to RTS for patients treated nonoperatively was 5.85 weeks (range, 3.00-8.70 weeks) compared with 14.70 weeks (range, 6.00-156.43 weeks) for patients treated surgically (P < .001); however, there was variability in the grade of injury between the 2 groups. Similarly, patients who sustained grade II injuries returned to sport more quickly (8.70 weeks) than patients who had a grade I (13.04 weeks) or grade III injury (16.50 weeks) (P = .016). The amount of time required to RTS was significantly influenced by the athlete’s level of play (16.50 weeks for both high school and college levels; 14.70 weeks for professional level) (P = .018).
Conclusion:
The time to RTS for an athlete who suffers from a turf toe injury is significantly influenced by the severity of injury and the athlete’s level of competition. Professional athletes who suffer from turf toe injuries RTS sooner than both high school and college athletes. However, there are a limited number of high-level studies evaluating turf toe injuries in the athletic population. Further research is necessary to clearly define the appropriate treatment and RTS protocols based on sport, position, and level of play.
A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
2019-10-14T00:00:00ZStrangers helping strangers in a strange land: Vietnamese immigrant (expectant) mothers in the US use social media to navigate health issues in acculturation
https://hdl.handle.net/1808/34456
Strangers helping strangers in a strange land: Vietnamese immigrant (expectant) mothers in the US use social media to navigate health issues in acculturation
Nguyen, Nhung
Objectives
Trying to adapt to a new culture, Vietnamese (expectant) mothers in the USA gathered in few Facebook groups with thousands of members discussing pregnancy, health, and child caring issues. However, there is little research exploring how social support was given/taken among these (expectant) mothers. This empirical research aims at shedding light on how such mothers use social media groups for social support seeking/providing regarding health utilization during their acculturation process.
Methods
Drawing from Andersen's Behavioral Model of Health Utilization, acculturation, and online social support conceptual frameworks, this study analyzes 18 in-depth interviews with immigrant Vietnamese (expectant) mothers in the United States on the use of social media in navigating health acculturation during their pregnancy and motherhood.
Results
Results show that these mothers give and take all forms of social support including informational, emotional, relational, and instrumental ones. Facebook groups do not provide the best environment for improving “bonding” social capital for its members. However, these groups provide a platform where “strangers help strangers” overcome various barriers to sufficiently understand and independently access and use the official healthcare system. The groups, hence, aid these women's pregnancy and their child(ren)'s health. The informational and emotional support provided by Facebook groups among (soon-to-be) mothers helped them tremendously in overcoming acculturative stress. Moreover, with better language skills, knowledge, and experience in using health and social security systems, help-seekers tend to be transformed into help providers to deliver support for those “newcomers.”
Conclusions
This research provides insights into personal experience on the uses of social media in navigating health behavior in the process of acculturation among Vietnamese immigrant (expectant) mothers in the United States. The research seeks to contribute to the conceptual frameworks and practical experience of behavioral model of health utitlization among immigrant Vietnamese ethnic immigrant pregnant women and mothers of babies and toddlers in navigating health during acculturation process in the United States. The limitations and future research suggestions are also discussed.
A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
2023-05-22T00:00:00ZDiscovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence
https://hdl.handle.net/1808/34455
Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence
Allen, Ben
Deep brain stimulation is a treatment that controls symptoms by changing brain activity. The complexity of how to best treat brain dysfunction with deep brain stimulation has spawned research into artificial intelligence approaches. Machine learning is a subset of artificial intelligence that uses computers to learn patterns in data and has many healthcare applications, such as an aid in diagnosis, personalized medicine, and clinical decision support. Yet, how machine learning models make decisions is often opaque. The spirit of explainable artificial intelligence is to use machine learning models that produce interpretable solutions. Here, we use topic modeling to synthesize recent literature on explainable artificial intelligence approaches to extracting domain knowledge from machine learning models relevant to deep brain stimulation. The results show that patient classification (i.e., diagnostic models, precision medicine) is the most common problem in deep brain stimulation studies that employ explainable artificial intelligence. Other topics concern attempts to optimize stimulation strategies and the importance of explainable methods. Overall, this review supports the potential for artificial intelligence to revolutionize deep brain stimulation by personalizing stimulation protocols and adapting stimulation in real time.
A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
2023-03-03T00:00:00ZEvidence-based practice models and frameworks in the healthcare setting: a scoping review
https://hdl.handle.net/1808/34454
Evidence-based practice models and frameworks in the healthcare setting: a scoping review
Dusin, Jarrod; Melanson, Andrea; Mische-Lawson, Lisa
Objectives The aim of this scoping review was to identify and review current evidence-based practice (EBP) models and frameworks. Specifically, how EBP models and frameworks used in healthcare settings align with the original model of (1) asking the question, (2) acquiring the best evidence, (3) appraising the evidence, (4) applying the findings to clinical practice and (5) evaluating the outcomes of change, along with patient values and preferences and clinical skills.
Design A Scoping review.
Included sources and articles Published articles were identified through searches within electronic databases (MEDLINE, EMBASE, Scopus) from January 1990 to April 2022. The English language EBP models and frameworks included in the review all included the five main steps of EBP. Excluded were models and frameworks focused on one domain or strategy (eg, frameworks focused on applying findings).
Results Of the 20 097 articles found by our search, 19 models and frameworks met our inclusion criteria. The results showed a diverse collection of models and frameworks. Many models and frameworks were well developed and widely used, with supporting validation and updates. Some models and frameworks provided many tools and contextual instruction, while others provided only general process instruction. The models and frameworks reviewed demonstrated that the user must possess EBP expertise and knowledge for the step of assessing evidence. The models and frameworks varied greatly in the level of instruction to assess the evidence. Only seven models and frameworks integrated patient values and preferences into their processes.
Conclusion Many EBP models and frameworks currently exist that provide diverse instructions on the best way to use EBP. However, the inclusion of patient values and preferences needs to be better integrated into EBP models and frameworks. Also, the issues of EBP expertise and knowledge to assess evidence must be considered when choosing a model or framework.
A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
2023-05-22T00:00:00Z