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Using Short Message (Sms) To Deliver Appointment Reminders And Reduce No-Show Rates: An Evidence-Based Practice Project, Fernando Serrano 2019 University of San Diego

Using Short Message (Sms) To Deliver Appointment Reminders And Reduce No-Show Rates: An Evidence-Based Practice Project, Fernando Serrano

Doctor of Nursing Practice Final Manuscripts

Background/Objectives: Missed appointments (MAs) are correlated with reduced treatment efficacy, increased financial burden on medical institutions, and early treatment terminations for therapy (DeFife, Conklin, Smith, & Poole, 2010). MAs occur for a variety of reasons including, but not limited to severity of illness, financial/geographic constraints, and forgetting the appointment (Filippidou, Lingwood, & Mirza, 2014). Appointment compliance within outpatient mental health clinics has a wide variance with some clinics reporting MAs ranging from 15% to 50% (Car, Gurol-Urganci, de Jongh, Vodopivec-Jamsek, & Atun, 2013).

With decreasing costs and a subsequent massive increase in mobile phone technology use by the general population, Short ...


Adapting A Behavioral Weight Loss Intervention For Delivery Via Facebook: A Pilot Series Among Low-Income Postpartum Women, Valerie J. Silfee, Andrea Lopez-Cepero, Stephenie C. Lemon, Barbara Estabrook, Oanh Nguyen, Monica L. Wang, Milagros C. Rosal 2019 University of Massachusetts Medical School

Adapting A Behavioral Weight Loss Intervention For Delivery Via Facebook: A Pilot Series Among Low-Income Postpartum Women, Valerie J. Silfee, Andrea Lopez-Cepero, Stephenie C. Lemon, Barbara Estabrook, Oanh Nguyen, Monica L. Wang, Milagros C. Rosal

Barbara Estabrook

BACKGROUND: Efforts to translate evidence-based weight loss interventions, such as the Diabetes Prevention Program (DPP), to low-income postpartum women have resulted in poor intervention attendance and high attrition. Strategies that improve engagement and retention in this population are needed to maximize the reach of evidence-based weight loss interventions.

OBJECTIVE: The objective of this study was to adapt a DPP-based weight loss intervention (Fresh Start) for Facebook delivery and to evaluate its feasibility among low-income postpartum women.

METHODS: This study comprised 3 single-group pilot studies where feasibility outcomes iteratively informed changes from one pilot to the next. We paralleled the in-person ...


Adapting A Behavioral Weight Loss Intervention For Delivery Via Facebook: A Pilot Series Among Low-Income Postpartum Women, Valerie J. Silfee, Andrea Lopez-Cepero, Stephenie C. Lemon, Barbara Estabrook, Oanh Nguyen, Monica L. Wang, Milagros C. Rosal 2019 University of Massachusetts Medical School

Adapting A Behavioral Weight Loss Intervention For Delivery Via Facebook: A Pilot Series Among Low-Income Postpartum Women, Valerie J. Silfee, Andrea Lopez-Cepero, Stephenie C. Lemon, Barbara Estabrook, Oanh Nguyen, Monica L. Wang, Milagros C. Rosal

Milagros C. Rosal

BACKGROUND: Efforts to translate evidence-based weight loss interventions, such as the Diabetes Prevention Program (DPP), to low-income postpartum women have resulted in poor intervention attendance and high attrition. Strategies that improve engagement and retention in this population are needed to maximize the reach of evidence-based weight loss interventions.

OBJECTIVE: The objective of this study was to adapt a DPP-based weight loss intervention (Fresh Start) for Facebook delivery and to evaluate its feasibility among low-income postpartum women.

METHODS: This study comprised 3 single-group pilot studies where feasibility outcomes iteratively informed changes from one pilot to the next. We paralleled the in-person ...


Adapting A Behavioral Weight Loss Intervention For Delivery Via Facebook: A Pilot Series Among Low-Income Postpartum Women, Valerie J. Silfee, Andrea Lopez-Cepero, Stephenie C. Lemon, Barbara Estabrook, Oanh Nguyen, Monica L. Wang, Milagros C. Rosal 2019 University of Massachusetts Medical School

Adapting A Behavioral Weight Loss Intervention For Delivery Via Facebook: A Pilot Series Among Low-Income Postpartum Women, Valerie J. Silfee, Andrea Lopez-Cepero, Stephenie C. Lemon, Barbara Estabrook, Oanh Nguyen, Monica L. Wang, Milagros C. Rosal

Stephenie C. Lemon

BACKGROUND: Efforts to translate evidence-based weight loss interventions, such as the Diabetes Prevention Program (DPP), to low-income postpartum women have resulted in poor intervention attendance and high attrition. Strategies that improve engagement and retention in this population are needed to maximize the reach of evidence-based weight loss interventions.

OBJECTIVE: The objective of this study was to adapt a DPP-based weight loss intervention (Fresh Start) for Facebook delivery and to evaluate its feasibility among low-income postpartum women.

METHODS: This study comprised 3 single-group pilot studies where feasibility outcomes iteratively informed changes from one pilot to the next. We paralleled the in-person ...


Integrating Digital App Technologies Within Traditional Expressive Arts Therapy For Children And Adolescents, Sarah Storjohann 2019 Lesley University

Integrating Digital App Technologies Within Traditional Expressive Arts Therapy For Children And Adolescents, Sarah Storjohann

Expressive Therapies Capstone Theses

In recent years, technology in the form of digital applications (apps) has emerged as a fundamental aspect of everyday life as well as a practical, convenient, and inexpensive tool for artistic self-expression, most notably amongst children and adolescents. Ninety-eight percent of U.S. households currently possess some form of mobile device (Rideout, 2017), with an estimated 95% of U.S. teenagers ages 13 to 17 owning a Smartphone (Anderson & Jiang, 2018). As digital natives, children and adolescents are more likely to identify with and connect to these arts-based methods. Clinician perspective concerning digital integration varies across a wide spectrum. Through a critical review of the existing literature, this research investigated the current state of digital app technology within the field of Expressive Arts Therapies, as well as potential benefits and drawbacks to the integration of this artistic media. Expressive Arts Therapy is predicated on the multimodal nature of artistic forms. Modality-specific apps within art, music, and dance therapy disciplines have garnered encouraging findings; however, no authentic multimodal digital app currently exists. This research explored the intermodal possibilities of both singular modality apps as well as those quantitatively examined in other mental-health related fields. Additionally ...


Detection Of Bleeding Events In Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach, Rumeng Li, Baotian Hu, Feifan Liu, Weisong Liu, Francesca Cunningham, David D. McManus, Hong Yu 2019 University of Massachusetts Amherst

Detection Of Bleeding Events In Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach, Rumeng Li, Baotian Hu, Feifan Liu, Weisong Liu, Francesca Cunningham, David D. Mcmanus, Hong Yu

David D. McManus

BACKGROUND: Bleeding events are common and critical and may cause significant morbidity and mortality. High incidences of bleeding events are associated with cardiovascular disease in patients on anticoagulant therapy. Prompt and accurate detection of bleeding events is essential to prevent serious consequences. As bleeding events are often described in clinical notes, automatic detection of bleeding events from electronic health record (EHR) notes may improve drug-safety surveillance and pharmacovigilance.

OBJECTIVE: We aimed to develop a natural language processing (NLP) system to automatically classify whether an EHR note sentence contains a bleeding event.

METHODS: We expert annotated 878 EHR notes (76,577 ...


Use Of Electronic Health Record Access And Audit Logs To Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study, Azraa Amroze, Terry S. Field, Hassan Fouayzi, Devi Sundaresan, Laura Burns, Lawrence Garber, Rajani S. Sadasivam, Kathleen M. Mazor, Jerry H. Gurwitz, Sarah L. Cutrona 2019 University of Massachusetts Medical School

Use Of Electronic Health Record Access And Audit Logs To Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study, Azraa Amroze, Terry S. Field, Hassan Fouayzi, Devi Sundaresan, Laura Burns, Lawrence Garber, Rajani S. Sadasivam, Kathleen M. Mazor, Jerry H. Gurwitz, Sarah L. Cutrona

Sarah L. Cutrona

BACKGROUND: Electronic health record (EHR) access and audit logs record behaviors of providers as they navigate the EHR. These data can be used to better understand provider responses to EHR-based clinical decision support (CDS), shedding light on whether and why CDS is effective.

OBJECTIVE: This study aimed to determine the feasibility of using EHR access and audit logs to track primary care physicians' (PCPs') opening of and response to noninterruptive alerts delivered to EHR InBaskets.

METHODS: We conducted a descriptive study to assess the use of EHR log data to track provider behavior. We analyzed data recorded following opening of ...


An Observational Study With The Janssen Autism Knowledge Engine (Jake((R))) In Individuals With Autism Spectrum Disorder, Seth L. Ness, Jean A. Frazier 2019 Janssen Research & Development

An Observational Study With The Janssen Autism Knowledge Engine (Jake((R))) In Individuals With Autism Spectrum Disorder, Seth L. Ness, Jean A. Frazier

Jean A. Frazier

Objective: The Janssen Autism Knowledge Engine (JAKE(R)) is a clinical research outcomes assessment system developed to more sensitively measure treatment outcomes and identify subpopulations in autism spectrum disorder (ASD). Here we describe JAKE and present results from its digital phenotyping (My JAKE) and biosensor (JAKE Sense) components.

Methods: An observational, non-interventional, prospective study of JAKE in children and adults with ASD was conducted at nine sites in the United States. Feedback on JAKE usability was obtained from caregivers. JAKE Sense included electroencephalography, eye tracking, electrocardiography, electrodermal activity, facial affect analysis, and actigraphy. Caregivers of individuals with ASD reported behaviors ...


Examining Faith Community Nurses’ Perception And Utilization Of Electronic Health Records, Carole N. Mattingly, M. Eve Main 2019 Western Kentucky University

Examining Faith Community Nurses’ Perception And Utilization Of Electronic Health Records, Carole N. Mattingly, M. Eve Main

Eve Main

Abstract

The purpose of this study is to identify current faith community nurse documentation practices, explore factors impacting intention to adopt electronic health records, and identify perceived barriers and benefits to electronic health record use among faith community nurses practicing in the Midwest. The technology acceptance model is used to examine impact of perceived usefulness and perceived ease of use of electronic health records on intention to adopt.

This study is a quantitative exploratory research study utilizing a cross-sectional researcher-developed 39-item questionnaire. Surveys were distributed by mail and e-mail to faith community nurses practicing in South-Central Indiana and Western Kentucky ...


Developing A Community-Based Screening And Referral Mechanism For Atrial Fibrillation In Low Resource Settings: “Smartphone Monitoring For Atrial Fibrillation In Real-Time – India (Smart-India)”, Apurv Soni, Nisha Fahey, Harshil Patel, Kandarp Talati, Anna Handorf, John A. Bostrom, Shyamsundar Raihatha, Ravi Shah, Sunil Karna, Robert J. Goldberg, Jeroan J. Allison, Ki Chon, Somashekhar M. Nimbalkar, David D. McManus 2019 University of Massachusetts Medical School

Developing A Community-Based Screening And Referral Mechanism For Atrial Fibrillation In Low Resource Settings: “Smartphone Monitoring For Atrial Fibrillation In Real-Time – India (Smart-India)”, Apurv Soni, Nisha Fahey, Harshil Patel, Kandarp Talati, Anna Handorf, John A. Bostrom, Shyamsundar Raihatha, Ravi Shah, Sunil Karna, Robert J. Goldberg, Jeroan J. Allison, Ki Chon, Somashekhar M. Nimbalkar, David D. Mcmanus

Apurv Soni

BACKGROUND: Atrial fibrillation (AF), the world’s most common arrhythmia, often goes undetected and untreated in low-resource communities, including India. Moreover, AF is an important risk factor for stroke, which plagues an estimated 1.6 million Indians annually. As such, early detection of AF and management of high-risk patients is critically important to decrease stroke burden in individuals with AF.

OBJECTIVE: The objectives of this study are to evaluate the age- and sex-stratified epidemiology of AF in Anand District, Gujarat India; characterize the profile of individuals who are diagnosed with AF; and determine the performance of two mobile technologies for ...


High Burden Of Unrecognized Atrial Fibrillation In Rural India: An Innovative Community-Based Cross-Sectional Screening Program, Apurv Soni, Allison Earon, Anna Handorf, Nisha Fahey, Kandarp Talati, John Bostrom, Ki Chon, Craig Napolitano, Michael S. Chin, John Stephen Sullivan, Shyamsundar Raithatha, Robert J. Goldberg, Somashekhar Nimbalkar, Jeroan J. Allison, Sunil Thanvi, David D. McManus 2019 University of Massachusetts Medical School

High Burden Of Unrecognized Atrial Fibrillation In Rural India: An Innovative Community-Based Cross-Sectional Screening Program, Apurv Soni, Allison Earon, Anna Handorf, Nisha Fahey, Kandarp Talati, John Bostrom, Ki Chon, Craig Napolitano, Michael S. Chin, John Stephen Sullivan, Shyamsundar Raithatha, Robert J. Goldberg, Somashekhar Nimbalkar, Jeroan J. Allison, Sunil Thanvi, David D. Mcmanus

Apurv Soni

BACKGROUND: Atrial fibrillation, the world's most common arrhythmia, is a leading risk factor for stroke, a disease striking nearly 1.6 million Indians annually. Early detection and management of atrial fibrillation is a promising opportunity to prevent stroke but widespread screening programs in limited resource settings using conventional methods is difficult and costly.

OBJECTIVE: The objective of this study is to screen people for atrial fibrillation in rural western India using a US Food and Drug Administration-approved single-lead electrocardiography device, Alivecor.

METHODS: Residents from 6 villages in Anand District, Gujarat, India, comprised the base population. After obtaining informed consent ...


Using Mobile-Based Technology To Screen For Atrial Fibrillation In India, Apurv Soni 2019 University of Massachusetts Medical School

Using Mobile-Based Technology To Screen For Atrial Fibrillation In India, Apurv Soni

Apurv Soni

As part of the mini-symposium entitled "Interdiscipllinary Mobile Health and Sensing Research," this presentation discusses use of a novel smartphone app for cardiovascular screening in rural India.


Mis 599 Research Paper - Final Copy V1.00.Docx, Jacob Huinker 2019 Iowa State University

Mis 599 Research Paper - Final Copy V1.00.Docx, Jacob Huinker

Jacob Huinker

No abstract provided.


Identification Of Relationships Between Patients Through Elements In A Data Warehouse Using The Familial, Associational, And Incidental Relationship (Fair) Initiative: A Pilot Study, Thomas M. English, Rebecca L. Kinney, Michael A. Davis, Ariana Kamberi, Wayne Chan, Rajani S. Sadasivam, Thomas K. Houston 2019 University of Massachusetts Medical School

Identification Of Relationships Between Patients Through Elements In A Data Warehouse Using The Familial, Associational, And Incidental Relationship (Fair) Initiative: A Pilot Study, Thomas M. English, Rebecca L. Kinney, Michael A. Davis, Ariana Kamberi, Wayne Chan, Rajani S. Sadasivam, Thomas K. Houston

Rajani S. Sadasivam

BACKGROUND: Over the last several years there has been widespread development of medical data warehouses. Current data warehouses focus on individual cases, but lack the ability to identify family members that could be used for dyadic or familial research. Currently, the patient's family history in the medical record is the only documentation we have to understand the health status and social habits of their family members. Identifying familial linkages in a phenotypic data warehouse can be valuable in cohort identification and in beginning to understand the interactions of diseases among families.

OBJECTIVE: The goal of the Familial, Associational, and ...


May 2019, SWOSU Bulldog Wellness Committee 2019 Southwestern Oklahoma State University

May 2019, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

Physical Fitness and Sports Month

Southwestern Oklahoma State University is supporting the President’s Council on Sports, Fitness & Nutrition in honor of National Physical Fitness and Sports Month. During the month of May, we challenge all adults to get active every day!


Perceptions Of Adult Patients Accessing Telehealth In An Urban Medical Group, Katharine Shepherd West 2019 California State University, Northern California Consortium Doctor of Nursing Practice

Perceptions Of Adult Patients Accessing Telehealth In An Urban Medical Group, Katharine Shepherd West

Doctoral Projects

Problem: Although implementation of in-patient electronic healthcare records is nearly complete in the United States, this achievement has not translated into consumer-to-business telehealth in the primary care setting. Because there are few studies that describe how and why patients select telehealth, the aim of this study was to learn about perceptions of adult patients in an urban setting when telehealth options are available. Research questions included a) How do patients select any type of appointment? b) How do patients perceive and use telehealth options? c) How and when might telehealth be useful in the future?

Methods: A qualitative study design ...


Forecasting Model For Disease Propensity Using Ehr Data, soodabeh sarafrazi, Omar Sharif, Matthew Domingo, Jie Han, Michael Chang, Omid Khazaie, Anil Kemisetti 2019 The University of San Francisco

Forecasting Model For Disease Propensity Using Ehr Data, Soodabeh Sarafrazi, Omar Sharif, Matthew Domingo, Jie Han, Michael Chang, Omid Khazaie, Anil Kemisetti

Creative Activity and Research Day - CARD

Many diseases such as diabetes and cardiovascular diseases are actionable, i.e. they are preventable by early intervention. One to two years of early warning would represent a huge advance in dealing with these conditions and could help prevent further complications such as heart disease, stroke, kidney failure, blindness, and amputation. In this project, we are developing an extensible condition forecasting model to assess the risk of diabetes and heart problems in patients in advance. Using TensorFlow, Elastic MapReduce (EMR), and AWS Sagemaker, we are training a Wide and Deep Neural Network on a dataset of more than 170 million ...


Information And Readiness Build Resilience: The Role Of The Disaster Information Management Research Center, Stacey J. Arnesen, Florence Chang 2019 National Library of Medicine

Information And Readiness Build Resilience: The Role Of The Disaster Information Management Research Center, Stacey J. Arnesen, Florence Chang

Collaborative Librarianship

The National Library of Medicine (NLM) established the Disaster Information Management Research Center (DIMRC) in 2008 based on its history of providing health information for disaster preparedness, response, and recovery. The NLM long range plan (Charting a Course for the 21st Century: NLM's Long Range Plan 2006-2016) called for creation of a center to show "a strong commitment to disaster remediation and to provide a platform for demonstrating how libraries and librarians can be part of the solution to this national problem". NLM was urged to "ensure continuous access to health information and effective use of libraries and librarians ...


Women In Control: Pioneering Diabetes Self-Management Medical Group Visits In The Virtual World, Suzanne Mitchell, Paula Gardiner, G. Weigel, Milagros C. Rosal 2019 Boston University

Women In Control: Pioneering Diabetes Self-Management Medical Group Visits In The Virtual World, Suzanne Mitchell, Paula Gardiner, G. Weigel, Milagros C. Rosal

Milagros C. Rosal

Background: The current state of diabetes self-management (DSM) education and support for diabetic patients is inadequate, especially for minority women who experience disproportionately high rates of diabetes mellitus (DM) in the US. While DSM education and support enables individuals with diabetes to make positive lifestyle choices and achieve clinical goals, this type of support is difficult to deliver in medical practice settings. Virtual reality can assist DM patients and their clinical teams by providing effective educational tools in an engaging, learner-centered environment that fosters self-efficacy and skill proficiency.

Methods: Our prior research demonstrated that virtual worlds are suitable for supporting ...


Representing The Patient Experience Of Heart Failure Through Empathy, Journey And Stakeholder Mapping, Leanna Woods, Jed Duff, Erin Roehrer, Kim Walker, Elizabeth Cummings 2019 University of Tasmania, Australia / St Vincent's Private Hospital Sydney, Australia

Representing The Patient Experience Of Heart Failure Through Empathy, Journey And Stakeholder Mapping, Leanna Woods, Jed Duff, Erin Roehrer, Kim Walker, Elizabeth Cummings

Patient Experience Journal

Heart failure is a long-term condition requiring those affected to manage numerous self-care related activities. People with heart failure report multiple challenges accommodating self-care activities in their every-day life. The aim of this study is to (1) understand the experience of people with heart failure and their caregivers in the local patient population, and (2) visually represent these experiences to inform the design of a mobile health intervention supporting self-care. Seven patients and four family caregivers were interviewed using an empathic approach. Data was collected using rapid design methods including an empathy map to uncover patient and caregiver perspectives and ...


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