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Diabetes mellitus (DM) is a detrimental disease that afflicts approximately 23.6 million Americans and costs $176 billion dollars annually in direct medical expenses (American Diabetes Association [ADA], 2015). Approximately 208,000 children and adolescents with diabetes are under the age of 20 years (ADA, 105; CDC, 2014). Currently, the standard of

Diabetes mellitus (DM) is a detrimental disease that afflicts approximately 23.6 million Americans and costs $176 billion dollars annually in direct medical expenses (American Diabetes Association [ADA], 2015). Approximately 208,000 children and adolescents with diabetes are under the age of 20 years (ADA, 105; CDC, 2014). Currently, the standard of medical practice in school-aged children and adolescents with type 1 diabetes is to administer insulin after the child or teen has eaten. The most current evidence has demonstrated a decrease hemoglobin A1C (HbA1c) and preference for pre-prandial insulin administration (Cobry et al., 2010; Danne et al., 2003; DePalma et al., 2011; Enander et al., 2012; Luijf et al., 2010; Scaramuzza et al., 2010).

This Doctor of Nursing Practice (DNP) project delivered an educational program for parents of school age children and adolescents with type 1 diabetes and instituted pre-prandial insulin administration as the standard of care in an outpatient pediatric endocrine clinic. Education was delivered in both verbal and written formats. Data collection included weekly blood glucose reports and HbA1c at initial and follow-up sessions. Descriptive statistics were utilized to analyze the data. No post intervention data was able to be collected due to participant drop out. Future directions to promote this practice change are discussed.

ContributorsBui, Ngoc Quyen T. (Author) / Jacobson, Diana (Thesis advisor)
Created2016-05-07
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The purpose of this project is to look at the relationship between education about Autism Spectrum Disorder (ASD) and knowledge, attitudes and beliefs in adult primary care providers. The project addresses the transition challenges adults with ASD have in finding a primary care provider who is comfortable and competent with

The purpose of this project is to look at the relationship between education about Autism Spectrum Disorder (ASD) and knowledge, attitudes and beliefs in adult primary care providers. The project addresses the transition challenges adults with ASD have in finding a primary care provider who is comfortable and competent with ASD. Education was provided to adult primary care providers in a multi-site primary care clinic in a large metropolitan city in the Southwestern United States. The Modified Knowledge/Attitudes/Belief instrument was used. A pre-test was administered prior to the education session, then a post-test and a one-month post-test were given afterward.

The results of the education program showed that attitudes and beliefs increased after the education and continued to increase more in the month following. Knowledge improved after the education session but declined after a month although scores were not back to the pre-education level. Primary care providers who receive education about ASD may be more comfortable in caring for this population and more likely to welcome adults with ASD into their practice. Education for primary care providers is key to improving health outcomes for adults with ASD.

ContributorsChesebrough, Geri Anne (Author) / Mangold, Kara (Thesis advisor)
Created2018-04-30
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Description
Introduction: Palliative care can significantly benefit children managing a life-limiting illness; unfortunately, services are generally reserved for end of life. The aim of this project was to demonstrate how established guidelines coupled with provider education could impact referrals.

Methods: Educational sessions developed using information processing theory and outlining referral recommendations

Introduction: Palliative care can significantly benefit children managing a life-limiting illness; unfortunately, services are generally reserved for end of life. The aim of this project was to demonstrate how established guidelines coupled with provider education could impact referrals.

Methods: Educational sessions developed using information processing theory and outlining referral recommendations were offered to providers in the NICU, PICU, and Center for Cancer and Blood Disorders at a tertiary care facility. Presurveys and postsurveys were administered at the time of the intervention and referral numbers for the organization were collected for two months prior and two months following.

Results: Descriptive statistics and paired t-tests were used to compare survey data and referral rates.

Discussion: Palliative care is imperative for meeting patient goals and optimizing quality of life. Provider knowledge of referral criteria ensures that patients receive this service early in their disease trajectory and can benefit from its inclusion within their care team.
ContributorsNewton, Katelyn A. (Author) / Sebbens, Danielle (Thesis advisor)
Created2018-04-27
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Description

In today’s healthcare environment, there is ample evidence to support early identification of disease and implementation of effective treatment to improve patient outcomes. The objectives of this clinical intervention were twofold; the implementation of an innovative change within an organization, allowing for systematic screening through incorporation of the Mood Disorder

In today’s healthcare environment, there is ample evidence to support early identification of disease and implementation of effective treatment to improve patient outcomes. The objectives of this clinical intervention were twofold; the implementation of an innovative change within an organization, allowing for systematic screening through incorporation of the Mood Disorder Questionnaire (MDQ), and evaluation of mental health provider’s willingness to incorporate practice change.

A pre- and post-quasi-experimental design evaluated the attitude of providers regarding practice change using the Evidence-Based Practice Attitude Scale and the utilization of the MDQ following educational intervention. Parametric testing was used to explore the relationship between education specific to practice change and the provider's attitude through the use of the paired t test. The Chi-square test evaluated the use of the MDQ by clinic healthcare providers in relation to an innovative practice change.

Results of this study illustrate enhanced provider willingness to adopt innovation and increased MDQ use following the intervention. Ensuring provider access to screening tools and education during the process of practice change provides a strategy for early intervention enhanced willingness to support practice evolution.

ContributorsQuade, Cara (Author) / Root, Lynda (Thesis advisor)
Created2017-05-01
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Description

Introduction and Background: Drowning is the leading cause of preventable injury death in Arizona for children under five years old. Tailored education has demonstrated efficacy in behavior change and knowledge retention. The purpose of this evidence-based project was to evaluate if tailored education improved knowledge and self-reported behaviors related to

Introduction and Background: Drowning is the leading cause of preventable injury death in Arizona for children under five years old. Tailored education has demonstrated efficacy in behavior change and knowledge retention. The purpose of this evidence-based project was to evaluate if tailored education improved knowledge and self-reported behaviors related to pediatric drowning. The Elaboration Likelihood Model provided the framework for this project.

Methods/Experimental Approach: The prospective pilot project was conducted using the Iowa Model of Evidence Based Practice. Parents with children under five years, presenting with low acuity complaints in a pediatric emergency department were approached. A baseline assessment identified high-risk behaviors and a custom education plan was delivered to parents. Outcome variables were measured at baseline and three weeks after initial assessment.

Results: The average parent age was 29 (M = 28.5; SD = 6.35) years. Participant (n=29) responses were analyzed using descriptive statistics. Participants (n = 27, 93%) reported likelihood to change behaviors and 29 (100%) perceived the tailored intervention as relevant. Secondary outcome variables were not measured at three weeks due to a lack of survey response.

Conclusions: Parents reported a high likelihood of behavior change when water safety education was tailored and relevant to their child. The tailored intervention evoked positive interaction and receptivity from parents and suggested a high motivation to make a behavior change. The effect of the intervention could not be tested due to the lack of follow-up and post data collection. The design of this evidence-based project is quantifiable and replicable in a low-acuity setting, which allows for future evaluations of self-reported behavior change and knowledge improvement.

Funding: No sponsorship or financial conflict of interest.

ContributorsRiggs, Jodi (Author) / Jacobson, Diana (Thesis advisor)
Created2019-05-01
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Description
Objectives: To assess whether a web-based video education addressing barriers to the human papillomavirus (HPV) vaccine will increase first and second dose administration rates and health care provider intent to vaccinate.

Study Design: Ten health care providers from Vaccines for Children (VFC) clinics in New Mexico were included in this pretest/posttest

Objectives: To assess whether a web-based video education addressing barriers to the human papillomavirus (HPV) vaccine will increase first and second dose administration rates and health care provider intent to vaccinate.

Study Design: Ten health care providers from Vaccines for Children (VFC) clinics in New Mexico were included in this pretest/posttest study. Providers were given a questionnaire adapted from the Determinants of Intent to Vaccinate (DIVA) questionnaire. Only two subscales were utilized for this project (total of 10 items): Adaptation to the Patient’s Profile and General Practitioner’s Commitment to the Vaccine Approach. Martinez et al. (2016) suggest that PCP’s commitment to the vaccination approach” can be used as a stand-alone tool with a Cronbach’s alpha > .70. Following the pretest, which served as consent, providers viewed a short, four video series addressing common barriers to the HPV vaccine, followed by the same questionnaire. First and second dose rates of the HPV vaccine were measured prior to the intervention and three months post intervention using the New Mexico Immunization Information System (NMSIIS).

Results: A Wilcoxon Ranks test was used for statistical analysis of the survey responses. Alpha was set at ≤ .10. Four of the 10 questions were statistically significant for increasing provider intent to vaccinate. HPV first dose rates increased in all three clinics and second dose rates increased in two out of the three clinics.

Conclusions: Web-based education is a successful intervention for increasing
provider intent to vaccinate and first and second dose HPV administration rates. Not only can the intervention be used for the HPV vaccine, but to help increase administration rates of all other vaccines.
ContributorsGonzalez, Jessica (Author) / Velasquez, Donna (Thesis advisor)
Created2018-05-02
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Description

Aim: To determine the change in provider’s compassion fatigue after implementing an education-based intervention in behavioral health.

Materials and Methods: A four-part education-based intervention for compassion fatigue was implemented over the course of 16 weeks. The Professional Quality of Life instrument was used to measure compassion fatigue and compassion satisfaction.

Results: Although

Aim: To determine the change in provider’s compassion fatigue after implementing an education-based intervention in behavioral health.

Materials and Methods: A four-part education-based intervention for compassion fatigue was implemented over the course of 16 weeks. The Professional Quality of Life instrument was used to measure compassion fatigue and compassion satisfaction.

Results: Although not statistically significant, mean compassion fatigue scores decreased in the sample.

Conclusion: Based on these results, further exploration into the causative factors of compassion fatigue in behavioral health are recommended.

ContributorsPeeples, Elizabeth (Author)
Created2017-04-29
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Description
Currently Java is making its way into the embedded systems and mobile devices like androids. The programs written in Java are compiled into machine independent binary class byte codes. A Java Virtual Machine (JVM) executes these classes. The Java platform additionally specifies the Java Native Interface (JNI). JNI allows Java

Currently Java is making its way into the embedded systems and mobile devices like androids. The programs written in Java are compiled into machine independent binary class byte codes. A Java Virtual Machine (JVM) executes these classes. The Java platform additionally specifies the Java Native Interface (JNI). JNI allows Java code that runs within a JVM to interoperate with applications or libraries that are written in other languages and compiled to the host CPU ISA. JNI plays an important role in embedded system as it provides a mechanism to interact with libraries specific to the platform. This thesis addresses the overhead incurred in the JNI due to reflection and serialization when objects are accessed on android based mobile devices. It provides techniques to reduce this overhead. It also provides an API to access objects through its reference through pinning its memory location. The Android emulator was used to evaluate the performance of these techniques and we observed that there was 5 - 10 % performance gain in the new Java Native Interface.
ContributorsChandrian, Preetham (Author) / Lee, Yann-Hang (Thesis advisor) / Davulcu, Hasan (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Created2011
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Description
As pointed out in the keynote speech by H. V. Jagadish in SIGMOD'07, and also commonly agreed in the database community, the usability of structured data by casual users is as important as the data management systems' functionalities. A major hardness of using structured data is the problem of easily

As pointed out in the keynote speech by H. V. Jagadish in SIGMOD'07, and also commonly agreed in the database community, the usability of structured data by casual users is as important as the data management systems' functionalities. A major hardness of using structured data is the problem of easily retrieving information from them given a user's information needs. Learning and using a structured query language (e.g., SQL and XQuery) is overwhelmingly burdensome for most users, as not only are these languages sophisticated, but the users need to know the data schema. Keyword search provides us with opportunities to conveniently access structured data and potentially significantly enhances the usability of structured data. However, processing keyword search on structured data is challenging due to various types of ambiguities such as structural ambiguity (keyword queries have no structure), keyword ambiguity (the keywords may not be accurate), user preference ambiguity (the user may have implicit preferences that are not indicated in the query), as well as the efficiency challenges due to large search space. This dissertation performs an expansive study on keyword search processing techniques as a gateway for users to access structured data and retrieve desired information. The key issues addressed include: (1) Resolving structural ambiguities in keyword queries by generating meaningful query results, which involves identifying relevant keyword matches, identifying return information, composing query results based on relevant matches and return information. (2) Resolving structural, keyword and user preference ambiguities through result analysis, including snippet generation, result differentiation, result clustering, result summarization/query expansion, etc. (3) Resolving the efficiency challenge in processing keyword search on structured data by utilizing and efficiently maintaining materialized views. These works deliver significant technical contributions towards building a full-fledged search engine for structured data.
ContributorsLiu, Ziyang (Author) / Chen, Yi (Thesis advisor) / Candan, Kasim S (Committee member) / Davulcu, Hasan (Committee member) / Jagadish, H V (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from

Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from video data by decomposing various key contributing factors, such as pose, view angle, and body shape, in the generation of the image observations. Experimental results have shown that the resulting pose features extracted using the proposed methods exhibit excellent invariance properties to changes in view angles and body shapes. Furthermore, using the proposed invariant multifactor pose features, a suite of simple while effective algorithms have been developed to solve the movement recognition and pose estimation problems. Using these proposed algorithms, excellent human movement analysis results have been obtained, and most of them are superior to those obtained from state-of-the-art algorithms on the same testing datasets. Moreover, a number of key movement analysis challenges, including robust online gesture spotting and multi-camera gesture recognition, have also been addressed in this research. To this end, an online gesture spotting framework has been developed to automatically detect and learn non-gesture movement patterns to improve gesture localization and recognition from continuous data streams using a hidden Markov network. In addition, the optimal data fusion scheme has been investigated for multicamera gesture recognition, and the decision-level camera fusion scheme using the product rule has been found to be optimal for gesture recognition using multiple uncalibrated cameras. Furthermore, the challenge of optimal camera selection in multi-camera gesture recognition has also been tackled. A measure to quantify the complementary strength across cameras has been proposed. Experimental results obtained from a real-life gesture recognition dataset have shown that the optimal camera combinations identified according to the proposed complementary measure always lead to the best gesture recognition results.
ContributorsPeng, Bo (Author) / Qian, Gang (Thesis advisor) / Ye, Jieping (Committee member) / Li, Baoxin (Committee member) / Spanias, Andreas (Committee member) / Arizona State University (Publisher)
Created2011