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Using Person-Centered Scheduling With Geriatric Patients To Reduce Anxiety With Telepsychiatry, Jody G. Long, Patricia A. Wilkerson, Evi Taylor, John H. Hall, Christopher Peters 2018 Jacksonville State University

Using Person-Centered Scheduling With Geriatric Patients To Reduce Anxiety With Telepsychiatry, Jody G. Long, Patricia A. Wilkerson, Evi Taylor, John H. Hall, Christopher Peters

Contemporary Rural Social Work Journal

ABSTRACT

Objective: This study explored using person-centered scheduling with telepsychiatry for rural community geriatric patients. Quantitative research approaches were used to determine the level of satisfaction participants experienced with person-centered scheduling and geriatric telepsychiatry. Method: Quantitative data were collected by using the Zung Self-Rating Anxiety Scale (SAS) before scheduling the first appointment and to assess the intervention’s effectiveness after the telepsychiatry session. Results: Person-centered telepsychiatry scheduling decreased geriatric patients’ anxiety as evidenced by Zung SAS scores. Conclusion: Older adult patients saw telepsychiatry as a viable means of treatment. Future research with geriatrics from different regions is needed.

Implications and future …


Systematic Review And Meta-Analysis: Tuberculosis, Tnfα Inhibitors, And Crohn's Disease, Brent L. Cao 2018 University of Central Florida

Systematic Review And Meta-Analysis: Tuberculosis, Tnfα Inhibitors, And Crohn's Disease, Brent L. Cao

Honors Undergraduate Theses

Inflammation is often a protective reaction against harmful foreign agents. However, in many disease conditions, the mechanisms behind the inflammatory response are poorly understood. Often times, the inflammation causes adverse effects, such as joint pain, abdominal pain, fever, fatigue, and loss of appetite. Thus, many treatments aim to inhibit the inflammatory response in order to control adverse symptoms. Such treatments include TNFα inhibitors. However, a major risk associated with drugs inhibiting tumor necrosis factor alpha (TNFα) is serious infection, including tuberculosis (TB).

Anti-TNFα therapy is used to treat patients with Crohn’s disease, for which the risk of tuberculosis may be …


Credibility Strategies Of Popular Health Websites: A Rhetorical Analysis Of Parkinson's Information Pages, Abigail Bakke 2018 Minnesota State University, Mankato

Credibility Strategies Of Popular Health Websites: A Rhetorical Analysis Of Parkinson's Information Pages, Abigail Bakke

English Department Publications

Though using e-health is a common patient practice, unregulated and inaccurate online medical content can pose real dangers. To effectively convey important and accurate health messages, online health organizations must make their information stand out as trustworthy. To identify credibility strategies, I conducted a rhetorical analysis of Parkinson’s disease content from the two most popular U.S. health websites: NIH.gov and WebMD. Based on the range of credibility strategies identified in these webpages, I recommend that medical writers and e-health designers convey both expertise and trustworthiness to build credibility in their content.


Lessons Learned In The Implementation Of Healthesteps: An Evidence-Based Healthy Lifestyle Program, P. Karen Simmavong, Loretta M. Hillier, Robert Petrella 2018 Western University

Lessons Learned In The Implementation Of Healthesteps: An Evidence-Based Healthy Lifestyle Program, P. Karen Simmavong, Loretta M. Hillier, Robert Petrella

Lifestyle Research Team

HealtheSteps is a pragmatic, evidence-based lifestyle prescription program aimed at reducing the rates of chronic disease, in particular, type 2 diabetes. A pro- cess evaluation was completed to assess the feasibility of the implementation of HealtheSteps in primary care and community-based settings across Canada. Key informant interviews (program providers and participants) were conducted to identify facilitators and barriers to implementation and opportunities for future program adaptation and improvement. Forty-three interviews were conducted across five regions in Canada (15 sites ranging from remote, rural, suburban, and urban). Transcripts were analyzed using a qualitative naturalistic inquiry approach with several facilitating factors identified: …


The Effectiveness Of Interventions And Bundles For Central Line-Associated Bloodstream Infections In The Neonatal Intensive Care Unit, Mohamad Alhamwi 2018 University of Central Florida

The Effectiveness Of Interventions And Bundles For Central Line-Associated Bloodstream Infections In The Neonatal Intensive Care Unit, Mohamad Alhamwi

Honors Undergraduate Theses

Introduction: Central Line-Associated Bloodstream Infections (CLABSIs) are a major cause of increased mortality, morbidity and healthcare costs in neonatal intensive care units (NICUs) patients. Despite CDC's efforts to reduce infection rates, patients often suffer consequences. The objective of this study is to perform a systematic review of strategies utilized in the neonatal population and evaluate them with the current CDC's guidelines to assess the effectiveness of bundles in preventing CLABSI in NICUs.

Methods: A systematic literature search was conducted using CINAHL Plus with Text, Cochrane Database of Systematic Reviews and MEDLINE from January 2008 up to 2018. There were multiple …


Venous Thromboembolism Risk Stratification Via Electronic Medical Record Classification, Shannon L. Carpenter, Laura Miller-Smith, Brittney Hunter, Ashley Duty, Justin Sheets, Yuri Tupa, Kate Gibbs 2018 Children's Mercy Hospital

Venous Thromboembolism Risk Stratification Via Electronic Medical Record Classification, Shannon L. Carpenter, Laura Miller-Smith, Brittney Hunter, Ashley Duty, Justin Sheets, Yuri Tupa, Kate Gibbs

Posters

No abstract provided.


A Lightweight Policy Preserving Ehr Sharing Scheme In The Cloud, Zuobin YING, Lu WEI, Qi LI, Ximeng LIU, Jie CUI 2018 Singapore Management University

A Lightweight Policy Preserving Ehr Sharing Scheme In The Cloud, Zuobin Ying, Lu Wei, Qi Li, Ximeng Liu, Jie Cui

Research Collection School Of Computing and Information Systems

Electronic Health Record (EHR) is a digital health documentary. It contains not only the health-related records but also the personal sensitive information. Therefore, how to reliably share EHR through the cloud is a challenging issue. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptography prototype, which can achieve fine-grained access control as well as one-to-many encryption. In CP-ABE, access policy is attached to the ciphertext, and however, the access policy is not protected, which will also cause some privacy leakage. In this paper, we propose a policy preserving EHR system on the basis of CP-ABE. Specifically, we designed an algorithm, which …


Chronic Risk And Disease Management Model Using Structured Query Language And Predictive Analysis, Mamata Ojha 2018 South Dakota State University

Chronic Risk And Disease Management Model Using Structured Query Language And Predictive Analysis, Mamata Ojha

Electronic Theses and Dissertations

Individuals with chronic conditions are the ones who use health care most frequently and more than 50% of top ten causes of death are chronic diseases in United States and these members always have health high risk scores. In the field of population health management, identifying high risk members is very important in terms of patient health care, disease management and cost management. Disease management program is very effective way of monitoring and preventing chronic disease and health related complications and risk management allows physicians and healthcare companies to reduce patient’s health risk, help identifying members for care/disease management along …


Systematic Review Of Smartphone-Based Passive Sensing For Health And Wellbeing., Victor P. Cornet MS, Richard J. Holden 2018 Parkview Health

Systematic Review Of Smartphone-Based Passive Sensing For Health And Wellbeing., Victor P. Cornet Ms, Richard J. Holden

Health Services and Informatics Research

OBJECTIVE: To review published empirical literature on the use of smartphone-based passive sensing for health and wellbeing.

MATERIAL AND METHODS: A systematic review of the English language literature was performed following PRISMA guidelines. Papers indexed in computing, technology, and medical databases were included if they were empirical, focused on health and/or wellbeing, involved the collection of data via smartphones, and described the utilized technology as passive or requiring minimal user interaction.

RESULTS: Thirty-five papers were included in the review. Studies were performed around the world, with samples of up to 171 (median n = 15) representing individuals with bipolar disorder, …


Maintaining Relationship Alternatives Electronically: Positive Relationship Maintenance In Back Burner Relationships, Jayson L. Dibble, Narissra M. Punyanunt-Carter, Michelle Drouin 2018 Parkview Health

Maintaining Relationship Alternatives Electronically: Positive Relationship Maintenance In Back Burner Relationships, Jayson L. Dibble, Narissra M. Punyanunt-Carter, Michelle Drouin

Health Services and Informatics Research

Back burners are desired prospective romantic/sexual partners that people communicate with to establish a future romantic or sexual relationship. We surveyed 658 college students about the extent to which they reported using various positive relationship maintenance strategies (positivity, openness, assurances) during communication with their most important back burner. Consistent with previous research, singles did not differ from those in committed romances in the number of back burners reported; however, singles and casual daters utilized the positive maintenance strategies to a greater extent than did those in committed relationships. Men reported using more assurances than did women, but the sexes did …


Speech Recognition Technology: Improving Speed And Accuracy Of Emergency Medical Services Documentation To Protect Patients, Tan Tran 2018 Virginia Commonwealth University

Speech Recognition Technology: Improving Speed And Accuracy Of Emergency Medical Services Documentation To Protect Patients, Tan Tran

AUCTUS: The Journal of Undergraduate Research and Creative Scholarship

Because hospital errors, such as mistakes in documentation, cause one in six deaths each year in the United States, the accuracy of health records in the emergency medical services (EMS) must be improved. One possible solution is to incorporate speech recognition (SR) software into current tools used by EMS first responders. The purpose of this research was to determine if SR software could increase the efficiency and accuracy of EMS documentation to improve the safety of patients of EMS. An initial review of the literature on the performance of current SR software demonstrated that this software was not 99% accurate, …


Securing The Internet Of Healthcare, Michael Mattioli, Scott J. Shackelford, Steve Myers, Austin Brady, Yvette Wang, Stephanie Wong 2018 Indiana University Maurer School of Law

Securing The Internet Of Healthcare, Michael Mattioli, Scott J. Shackelford, Steve Myers, Austin Brady, Yvette Wang, Stephanie Wong

Articles by Maurer Faculty

Cybersecurity, including the security of information technology (IT), is a critical requirement in ensuring society trusts, and therefore can benefit from, modern technology. Problematically, though, rarely a day goes by without a news story related to how critical data has been exposed, exfiltrated, or otherwise inappropriately used or accessed as a result of supply chain vulnerabilities. From the Russian government's campaign to influence the 2016 U.S. presidential election to the September 2017 Equifax breach of more than 140-million Americans' credit reports, mitigating cyber risk has become a topic of conversation in boardrooms and the White House, on Wall Street and …


Book Review: Surrogacy: A Human Rights Violation By Renate Klein, Kate Rose 2018 Dare To Tell

Book Review: Surrogacy: A Human Rights Violation By Renate Klein, Kate Rose

Dignity: A Journal of Analysis of Exploitation and Violence

No abstract provided.


Using Machine Learning To Predict Acute Kidney Injuries Among Patients Treated With Empiric Antibiotics, Wilbur Cliff Rutter IV 2018 University of Kentucky

Using Machine Learning To Predict Acute Kidney Injuries Among Patients Treated With Empiric Antibiotics, Wilbur Cliff Rutter Iv

Theses and Dissertations--Pharmacy

Acute kidney injury (AKI) is a significant adverse effect of many medications that leads to increased morbidity, cost, and mortality among hospitalized patients. Recent literature supports a strong link between empiric combination antimicrobial therapy and increased AKI risk. As briefly summarized below, the following chapters describe my research conducted in this area.

Chapter 1 presents and summarizes the published literature connecting combination antimicrobial therapy with increased AKI incidence. This chapter sets the specific aims I aim to achieve during my dissertation project.

Chapter 2 describes a study in which patients receiving vancomycin (VAN) in combination with piperacillin-tazobactam (TZP) or cefepime …


Professional Competencies For E-Helpers: A Telepractice Resource, Hannah M. Schlaak 2018 University of Kentucky

Professional Competencies For E-Helpers: A Telepractice Resource, Hannah M. Schlaak

Theses and Dissertations--Communication Sciences and Disorders

The primary purpose of this study was to craft and validate a set of core competencies necessary for an e-Helper to possess. A review of the literature guided the creation of the initial competencies. Following expert review, the competencies were revised and formatted into an online survey which was sent to respondents in four target groups: (a) school administrators who had adopted telepractice as a service delivery model; (b) SLPs experienced in telepractice within a school setting; (c) current e-Helpers, and (d) scholars experienced in telepractice. Sixty percent (21 out of 35) of the competencies were rated as “important” by …


Interactive Clinical Event Pattern Mining And Visualization Using Insurance Claims Data, Zhenhui Piao 2018 University of Kentucky

Interactive Clinical Event Pattern Mining And Visualization Using Insurance Claims Data, Zhenhui Piao

Theses and Dissertations--Computer Science

With exponential growth on a daily basis, there is potentially valuable information hidden in complex electronic medical records (EMR) systems. In this thesis, several efficient data mining algorithms were explored to discover hidden knowledge in insurance claims data. The first aim was to cluster three levels of information overload(IO) groups among chronic rheumatic disease (CRD) patient groups based on their clinical events extracted from insurance claims data. The second aim was to discover hidden patterns using three renowned pattern mining algorithms: Apriori, frequent pattern growth(FP-Growth), and sequential pattern discovery using equivalence classes(SPADE). The SPADE algorithm was found to be the …


Towards Blockchain Empowered Trusted And Accountable Data Sharing And Collaboration In Mobile Healthcare Applications, Xueping Liang, Sachin Shetty, Deepak Tosh, Daniel Bowden, Laurent Njilla, Charles Kamhoua 2018 Old Dominion University

Towards Blockchain Empowered Trusted And Accountable Data Sharing And Collaboration In Mobile Healthcare Applications, Xueping Liang, Sachin Shetty, Deepak Tosh, Daniel Bowden, Laurent Njilla, Charles Kamhoua

VMASC Publications

Enabled by mobile and wearable technology, personal health data delivers immense and increasing value for healthcare, benefiting both care providers and medical research. The secure and convenient sharing of personal health data is crucial to the improvement of the interaction and collaboration of the healthcare industry. Faced with the potential privacy issues and vulnerabilities existing in current personal health data storage and sharing systems, as well as the blockchain integration concerns summarized in this paper, an innovative user-centric health data sharing solution by utilizing a decentralized but permissioned blockchain is proposed to protect privacy and enhance access management, with the …


8893: Athletic Training Student Application Of Health Information Technology During Clinical Education: A Report From The Athletic Training Clinical Education Network, C. E. Welch Bacon, S. E. Walker, J. M. Cavallario, R. C. Bay, B. L. Van Lunen 2018 A. T. Still University

8893: Athletic Training Student Application Of Health Information Technology During Clinical Education: A Report From The Athletic Training Clinical Education Network, C. E. Welch Bacon, S. E. Walker, J. M. Cavallario, R. C. Bay, B. L. Van Lunen

Rehabilitation Sciences Faculty Publications

Context: Health information technology (HIT) is becoming ubiquitous in health care, so it is essential to ensure professional athletic training students (ATSs) are gaining exposure to the concepts of HIT throughout their clinical experiences. Research has demonstrated that when ATSs observe patient encounters (PEs) they are less likely to implement HIT; however, it is still unclear how or to what extent ATSs are incorporating concepts of HIT during individual PEs. Objective: To assess whether ATSs are integrating concepts of HIT during PEs as part of their clinical experiences. Design: Multisite, panel design. Setting: Convenience sample of 3 Commission on Accreditation …


Mapping Opioid Mortality Rates Across Treatment Capacity To Identify Need And Access, Garrett K. Wong, Justin R. Chang, Chase Greco, Yadunandan Pillai, Mohammad A. Shahrezaei, Melissa H. Burton, Rob Lawrence, Alan Dow 2018 VCU School of Medicine

Mapping Opioid Mortality Rates Across Treatment Capacity To Identify Need And Access, Garrett K. Wong, Justin R. Chang, Chase Greco, Yadunandan Pillai, Mohammad A. Shahrezaei, Melissa H. Burton, Rob Lawrence, Alan Dow

Graduate Research Posters

Background: The opioid and heroin overdose epidemic is a public health emergency in the state of Virginia, resulting in the death of more than 1,100 people in 2016. In order to overcome this epidemic, we need to match the places with the greatest need for services related to substance use disorders with the appropriate healthcare workforce.

Aims: As the data about the overdose outbreak and related socioeconomic factors grow in size and complexity, data scientists have attempted to utilize big data techniques to identify communities and risk factors contributing to addiction.

Methods: Using data obtained from the …


Visualizing The Opioid Overdose With A Dynamic Heat Map To Identify And Predict Vulnerable Communities, Justin R. Chang, Garrett K. Wong, Chase Greco, Yadunandan Pillai, Mohammad A. Shahrezaei, Melissa H. Burton, Rob Lawrence, Alan Dow 2018 VCU School of Medicine

Visualizing The Opioid Overdose With A Dynamic Heat Map To Identify And Predict Vulnerable Communities, Justin R. Chang, Garrett K. Wong, Chase Greco, Yadunandan Pillai, Mohammad A. Shahrezaei, Melissa H. Burton, Rob Lawrence, Alan Dow

Graduate Research Posters

Background: Opioid and heroin overdose epidemic is a public health emergency in the state of Virginia. In order to prevent overdose deaths, we need the target expertise in substance use disorders to areas with high rates of overdose. In particular, an area with an acute spike in overdoses might represent an urgent need for intervention.

Aims: The CDC urges the use of near real-time surveillance to effectively identify overdose incidence, and to coordinate community responses in the states affected by the epidemic, including Virginia. However, current opioid overdose datasets for Virginia lack adequate consistency, granularity, and temporality for …


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