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Item Assessment of hepatitis C monitoring adherence after viral eradication in veterans with substance use to improve care and surveil reinfection(American Association of Psychiatric Pharmacists, 2022-06-10) Stratton, Miranda L.; Ansara, Elayne D.; Ifeachor, Amanda P.; Houck, Kelly K.; Liangpunsakul, Suthat; Binger, Katie J.; Medicine, School of MedicineIntroduction: Hepatitis C virus (HCV) incidence rates are rising for patients with substance use and/or SUDs. Guidelines provide monitoring recommendations to ensure remission after successful treatment. The study's objective was to identify gaps in follow-up for patients with documented substance use and/or SUD through assessment of adherence to guideline-recommended HCV RNA lab 12 months post-treatment. Methods: Patients treated for HCV through the Veteran Health Indiana Hepatitis C Pharmacy Clinic were retrospectively evaluated. Subjects were categorized based on the provider assigned for follow-up care after 12-week sustained virologic response (SVR12) labs (primary care provider [PCP] or HCV provider). The primary outcome was HCV RNA obtained 11 to 13 months post-treatment. Secondary outcomes were HCV RNA detected post-treatment, substance use, engagement in substance use treatment, and engagement with social work. Results: Two hundred forty-one patients were included in the HCV provider cohort and 139 in the PCP cohort. Forty-one patients did not have a specified clinic for follow-up treatment, and 20 patients did not achieve SVR12. Sixty-one patients (28%) in the HCV provider cohort completed a 12-month HCV RNA within 11 to 13 months post-treatment vs 15 patients (11%) in the PCP cohort (P ≤ .01). One patient had HCV RNA detected post-treatment. Discussion: This study reveals inadequate HCV post-treatment follow-up for patients with substance use and/or SUD. SUD is a chronic disease that requires continued monitoring to prevent complications. Further studies are needed to identify reinfection rates and improvements of care in this population.Item Augmenting Indiana's groundwater level monitoring network: optimal siting of additional wells to address spatial and categorical sampling gaps(2014-11-21) Sperl, Benjamin J.; Banerjee, Aniruddha; Lulla, Vijay O.; Bein, Frederick L. (Frederick Louis), 1943-Groundwater monitoring networks are subject to change by budgetary actions and stakeholder initiatives that result in wells being abandoned or added. A strategy for network design is presented that addresses the latter situation. It was developed in response to consensus in the state of Indiana that additional monitoring wells are needed to effectively characterize water availability in aquifer systems throughout the state. The strategic methodology has two primary objectives that guide decision making for new installations: (1) purposive sampling of a diversity of environmental variables having relevance to groundwater recharge, and (2) spatial optimization by means of maximizing geographic distances that separate monitoring wells. Design objectives are integrated in a discrete facility location model known as the p-median problem, and solved to optimality using a mathematical programming package.Item Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation(JMIR, 2022-06-09) Kantor, Daniel; Farlow, Martin; Ludolph, Albert; Montaner, Joan; Sankar, Raman; Sawyer, Robert N., Jr.; Stocchi, Fabrizio; Lara, Agnès; Clark, Sarah; Deschet, Karine; Ouyahia, Loucif; Hadjiat, Yacine; Neurology, School of MedicineBackground: Digital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet. Objective: The aim of this project was to develop content quality guidelines for Neurodiem, an independent scientific information platform dedicated to neurology for health care professionals and neuroscientists. These content quality guidelines are intended to be used by (1) content providers as a framework to meet content quality standards and (2) reviewers as a tool for analyzing and scoring quality of content. Methods: Specific scientific criteria were designed using a 5-point scale to measure the quality of curated and original content published on the website: for Summaries, (1) source reliability and topic relevance for neurologists, (2) structure, and (3) scientific and didactic value; for Congress highlights, (1) relevance of congress selection, (2) congress coverage based on the original program, and (3) scientific and didactic value of individual abstracts; for Expert points of view and talks, (1) credibility (authorship) and topic relevance for neurologists, (2) scientific and didactic value, and (3) reliability (references) and format. The criteria were utilized on a monthly basis and endorsed by an independent scientific committee of widely recognized medical experts in neurology. Results: Summary content quality for the 3 domains (reliability and relevance, structure, and scientific and didactic value) increased in the second month after the implementation of the guidelines. The domain scientific and didactic value had a mean score of 8.20/10. Scores for the domains reliability and relevance (8-9/10) and structure (45-55/60) showed that the maintenance of these 2 quality items over time was more challenging. Talks (either in the format of interviews or slide deck-supported scientific presentations) and expert point of view demonstrated high quality after the implementation of the content quality guidelines that was maintained over time (15-25/25). Conclusions: Our findings support that content quality guidelines provide both (1) a reliable framework for generating independent high-quality content that addresses the educational needs of neurologists and (2) are an objective evaluation tool for improving and maintaining scientific quality level. The use of these criteria and this scoring system could serve as a standard and reference to build an editorial strategy and review process for any medical news or platforms.Item The Impact of Stationary and Mobile Fetal Monitors(2018-04-29) McKinney, Jay; Christe, BarbaraThe work describes the utilization of stationary and mobile fetal monitoring. The work emphasizes the important uses of stationary and mobile fetal monitoring based off data collected to summarize the best utilization method. The work is intended to study the effects of stationary and mobile fetal monitors at two similar facilities.Item Metacognitive Awareness of Facial Affect in Higher-Functioning Children and Adolescents with Autism Spectrum Disorder(Springer, 2016-03) McMahon, Camilla M.; Henderson, Heather A.; Newell, Lisa; Jaime, Mark; Mundy, Peter; Department of Psychology, School of ScienceHigher-functioning participants with and without autism spectrum disorder (ASD) viewed a series of face stimuli, made decisions regarding the affect of each face, and indicated their confidence in each decision. Confidence significantly predicted accuracy across all participants, but this relation was stronger for participants with typical development than participants with ASD. In the hierarchical linear modeling analysis, there were no differences in face processing accuracy between participants with and without ASD, but participants with ASD were more confident in their decisions. These results suggest that individuals with ASD have metacognitive impairments and are overconfident in face processing. Additionally, greater metacognitive awareness was predictive of better face processing accuracy, suggesting that metacognition may be a pivotal skill to teach in interventions.Item Real time, Non-Intrusive Instrumentation & Monitoring of Standards-based Event-based Middleware(Office of the Vice Chancellor for Research, 2016-04-08) Satyanarayana, Geetha R.; Tu, Liren; Hill, James H.Standards-based middleware, such as the Common Object Request Broker Architecture (CORBA) Component Model and the Data Distribution Service, support event-based services for decoupled, asynchronous messaging between software components in a distributed system. The messaging models use the publisher-subscriber paradigm where one or more subscribers can subscribe to events from one or more publishers. The advantage of this paradigm is neither the publisher nor subscriber needs to be aware of the other. Instead, either entity is only concerned with the publication or receipt of an event. A critical aspect of these systems, however, is their instrumentation for analysis purposes, like monitoring its performance, state, and behavior to ensure the system is executing as expected. Traditionally, instrumenting such systems relied on intrusive instrumentation approaches, where developer inserted code snippets into the source code to collect the information needed. This means that developers must understand the original code, run the risk of inserting malicious code, and intermix code related to instrumentation with the normal business logic. Moreover, as the normal business logic evolves, the instrumentation code must also evolve. This can become a burden on developers until the business logic become less volatile. To overcome this complexity, we present Dynamic Event Monitor, a tool that can non-intrusively instrument and monitor events in a large scale distributed system at run time, using dynamic binary instrumentation. It operates in contexts without any a priori knowledge of the concrete events in the system, or how the system is composed. We have applied Dynamic Event Monitor to applications implemented in CORBA. Our results show that once the application is completely instrumented, the performance impact of actually monitoring events is minimal. For the applications we have tested, the instrumentation time is about 30-45 seconds and the time for real-time monitoring of events is about 2 milliseconds.Item Real-time monitoring of distributed real-time and embedded systems using Web(2014-01-03) Puranik, Darshan Gajanan; Hill, James H. (James Haswell); Raje, Rajeev; Durresi, Arjan; Fang, ShiaofenAsynchronous JavaScript and XML (AJAX) is the primary method for enabling asynchronous communication over the Web. Although AJAX is providing warranted real-time capabilities to the Web, it requires unconventional programming methods at the expense of extensive resource usage. WebSockets, which is an emerging protocol, has the potential to address many challenges with implementing asynchronous communication over the Web. There, however, has been no in-depth study that quantitatively compares AJAX and WebSockets. This thesis therefore provides two contributions to Web development. First, it provides an experience report for adding real-time monitoring support over the Web to the Open-source Architecture of Software Instrumentation of Systems(OASIS), which is open-source real-time instrumentation middleware for distributed real-time and embedded (DRE) systems. Secondly, it quantitatively compares using AJAX and WebSockets to stream collected instrumentation data over the Web in real-time. Results from quantitative comparison between WebSockets and AJAX show that a WebSockets server consumes 50% less network bandwidth than an AJAX server; a WebSockets client consumes memory at constant rate, not at an increasing rate; and WebSockets can send up to 215.44% more data samples when consuming the same amount network bandwidth as AJAX.Item Remote Assessment of ADHD Symptoms Based on Mobile Game Performance in Children with ADHD: A Proof of Concept(IEEE, 2023-07) Song, Jeong-Heon; Kim, Byeongil; Kim, Seon-Chil; Toom, Niharika; Kaur, Charanjit; Rodriguez, Gabriela Marie; Hord, Melissa Kay; Jung, Hee-Tae; BioHealth Informatics, School of Informatics and ComputingThe use of game-based digital medicine is gaining increasing interest in helping children with ADHD to improve their attention outside the clinical setting. In this process, it is important to continue monitoring children’s responses to the use of digital medicine. In this work, we introduce novel digital markers and an analytic pipeline to estimate ADHD-related symptomatic levels during the self-administration of attention games. The digital markers, capturing the children’s characteristics of attention and inattention spans, were extracted and translated into clinically-accepted measures of ADHD symptoms, specifically the ADHD-Rating Scale (ADHD-RS) and Child Behavior Checklist (CBCL). To validate the feasibility of our approach, we collected game-specific performance data from 15 children with ADHD, which was used to train machine learning-based regression models to estimate their corresponding ADHD-RS and CBCL scores. Our experiment results showed mean absolute errors of 5.14 and 4.05 points between the actual and estimated ADHD-RS and CBCL scores respectively. This study enables new clinical and research opportunities for accurate longitudinal assessment of symptomatic levels of ADHD via an interactive means of playing mobile games.