Health Information Technology Commons^™

Addressing Dermatologic Concerns And Teledermatology In Undomiciled And Sheltered Populations, Kennedy Gallagher, Sahithi Talasila, Anna Bistline, Rebecca Krain, Leena Ramani, Elizabeth Jones

Student Papers, Posters & Projects

Homelessness in the United States is a significant public health issue, with dermatologic disease being the most prevalent health concern among the undomiciled and sheltered populations. Despite a growing need for dermatologic care, the supply of dermatologists remains insufficient, contributing to disparities in healthcare access for this vulnerable group. This review aims to detail the spectrum of dermatologic conditions experienced by homeless individuals, identify barriers to adequate care, and explore teledermatology as a potential solution to bridge these gaps. A comprehensive literature review was conducted, analyzing studies and reports on dermatologic issues prevalent among the homeless population and the efficacy …

Population-Level Trends In Self-Reported Healthcare Utilization Among Older Adults In Mexico With And Without Cognitive Impairment, José Eduardo Cabrero Castro, Rebeca Wong, Rafael Samper Ternent, Brian Downer

Faculty, Staff and Student Publications

BACKGROUND: Older adults with cognitive impairment exhibit different patterns of healthcare utilization compared to their cognitively healthy counterparts. Despite extensive research in high-income countries, similar studies in low- and middle-income countries are lacking. This study aims to investigate the population-level patterns in healthcare utilization among older adults with and without cognitive impairment in Mexico.

METHODS: Data came from five waves (2001-2018) of the Mexican Health and Aging Study. We used self-reported measures for one or more over-night hospital stays, doctor visits, visits to homeopathic doctors, and dental visits in the past year; seeing a pharmacist in the past year; and …

Accuracy, Thoroughness, And Quality Of Outpatient Primary Care Documentation In The U.S. Department Of Veterans Affairs., Michael Weiner, Mindy E Flanagan, Katie Ernst, Ann H Cottingham, Nicholas A Rattray, Zamal Franks, April W Savoy, Joy L Lee, Richard M Frankel

Health Services and Informatics Research

BACKGROUND: Electronic health records (EHRs) can accelerate documentation and may enhance details of notes, or complicate documentation and introduce errors. Comprehensive assessment of documentation quality requires comparing documentation to what transpires during the clinical encounter itself. We assessed outpatient primary care notes and corresponding recorded encounters to determine accuracy, thoroughness, and several additional key measures of documentation quality.

METHODS: Patients and primary care clinicians across five midwestern primary care clinics of the US Department of Veterans Affairs were recruited into a prospective observational study. Clinical encounters were video-recorded and transcribed verbatim. Using the Physician Documentation Quality Instrument (PDQI-9) added to …

An Electronic Health Record Model For Predicting Risk Of Hepatic Fibrosis In Primary Care Patients, Aaron P Thrift, Theresa H Nguyen Wenker, Kyler Godwin, Maya Balakrishnan, Hao T Duong, Rohit Loomba, Fasiha Kanwal, Hashem B El-Serag

Faculty, Staff and Students Publications

BACKGROUND: One challenge for primary care providers caring for patients with nonalcoholic fatty liver disease is to identify those at the highest risk for clinically significant liver disease.

AIM: To derive a risk stratification tool using variables from structured electronic health record (EHR) data for use in populations which are disproportionately affected with obesity and diabetes.

METHODS: We used data from 344 participants who underwent Fibroscan examination to measure liver fat and liver stiffness measurement [LSM]. Using two approaches, multivariable logistic regression and random forest classification, we assessed risk factors for any hepatic fibrosis (LSM > 7 kPa) and significant hepatic …

Reliable Detection Of Generalized Convulsive Seizures Using An Off-The-Shelf Digital Watch: A Multisite Phase 2 Study, Yash Shashank Vakilna, Xiaojin Li, Jaison S Hampson, Yan Huang, John C Mosher, Yuri Dabaghian, Xi Luo, Blanca Talavera, Sandipan Pati, Masel Todd, Ryan Hays, Charles Akos Szabo, Guo-Qiang Zhang, Samden D Lhatoo

Faculty, Staff and Student Publications

Objective: The aim of this study was to develop a machine learning algorithm using an off-the-shelf digital watch, the Samsung watch (SM-R800), and evaluate its effectiveness for the detection of generalized convulsive seizures (GCS) in persons with epilepsy.

Methods: This multisite epilepsy monitoring unit (EMU) phase 2 study included 36 adult patients. Each patient wore a Samsung watch that contained accelerometer, gyroscope, and photoplethysmographic sensors. Sixty-eight time and frequency domain features were extracted from the sensor data and were used to train a random forest algorithm. A testing framework was developed that would better reflect the EMU setting, consisting of …

Mhealth-Based Just-In-Time Adaptive Intervention To Improve The Physical Activity Levels Of Individuals With Spinal Cord Injury: Protocol For A Randomized Controlled Trial, Rachel Carey, Ha Le, Donna Coffman, Inbal Nahum-Shani, Mohanraj Thirumalai, Cole Hagen, Laura Baehr, M. Schmidt-Read, Marlyn Lamboy, Stephanie A Kolakowsky-Hayner, Ralph Marino, Stephen Intille, Shivayogi Hiremath

Moss-Magee Rehabilitation Papers

BACKGROUND: The lack of regular physical activity (PA) in individuals with spinal cord injury (SCI) in the United States is an ongoing health crisis. Regular PA and exercise-based interventions have been linked with improved outcomes and healthier lifestyles among those with SCI. Providing people with an accurate estimate of their everyday PA level can promote PA. Furthermore, PA tracking can be combined with mobile health technology such as smartphones and smartwatches to provide a just-in-time adaptive intervention (JITAI) for individuals with SCI as they go about everyday life. A JITAI can prompt an individual to set a PA goal or …

Implementation Of A Health Information Technology Safety Classification System In The Veterans Health Administration’S Informatics Patient Safety Office, Danielle Kato, Joe Lucas, Dean F Sittig

Faculty, Staff and Student Publications

Objective: Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.

Materials and methods: A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.

Results: Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user …

Enhancing Foot Care Education And Support Strategies In Adults With Type 2 Diabetes, Hsiao-Hui Ju, Madelene Ottosen, Jeffery Alford, Jed Jularbal, Constance Johnson

Faculty, Staff and Student Publications

BACKGROUND: People with diabetes are susceptible to serious and disabling foot complications, which increase their morbidity and mortality rates. Examining the perspectives of people with diabetes on their foot care routines could help elucidate their beliefs and offer practical ways to prevent foot problems.

PURPOSE: We explored the perspectives of adults with diabetes on their foot care practices to identify and enhance foot care education and support strategies.

METHODOLOGY: Using the Zoom platform, 29 adults with diabetes completed a 3-month telehealth educational program, during which interviews were conducted. This article reports the results of thematic content analysis of the qualitative …

Retention, Adherence, And Acceptability Testing Of A Digital Health Intervention In A 3-Group Randomized Controlled Trial For Chronic Musculoskeletal Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, Xinran Huang, Hulin Wu, Chunyan Hua, Paul Christo

Faculty, Staff and Student Publications

OBJECTIVES: Evaluate a digital health intervention using Auricular Point Acupressure (APA) for chronic musculoskeletal pain in terms of participant retention, adherence, acceptability, and satisfaction. Chronic musculoskeletal pain is a global concern and there are persistent challenges in pain management. Despite the value of digital health interventions, these interventions need to be fully evaluated for feasibility.

METHODS: We conducted a 3-group, longitudinal, randomized controlled trial (RCT). After Institutional Review Board approval, we posted recruitment flyers in a university, healthcare clinics, and community settings. Participants were randomized into an in-person + app group (n = 8), virtual + app group (n = …

The Impact Of Telemedicine On Human Immunodeficiency Virus (Hiv)-Related Clinical Outcomes During The Covid-19 Pandemic, Avery Lin Cox, Daniel Tsang, Lisa A. Spacek, Constantine Daskalakis, Dagan Coppock

Division of Infectious Diseases and Environmental Medicine Faculty Papers

The coronavirus disease of 2019 (COVID-19) pandemic exacerbated barriers to care for people living with human immunodeficiency virus (HIV) (PLWH). The quick uptake of telemedicine in the outpatient setting provided promise for care continuity. In this study, we compared appointment and laboratory no-show rates in an urban outpatient HIV clinic during three time periods: (1) Pre-COVID-19: 9/15/2019-3/14/2020 (predominately in-person), (2) "Early" COVID-19: 3/15/2020-9/14/2020 (predominately telemedicine), and (3) "Later" COVID-19: 9/15/2020-3/14/2021 (mixed in-person/telemedicine). Multivariable logistic regression models evaluated the two study hypotheses: (i) equivalence of Period 2 with Period 1 and of Period 3 with Period 1 and (ii) improved outcomes …

Perspectives From Patients With Chronic Lung Disease On A Telehealth-Facilitated Integrated Palliative Care Model: A Qualitative Content Analysis Study, Jeannette Kates, Carrie Tompkins Stricker, Kristin L. Rising, Alexzandra Gentsch, Ellen Solomon, Victoria Powers, Venise J. Salcedo, Brooke Worster

Department of Medicine Faculty Papers

BACKGROUND: Chronic lung disease affects nearly 37 million Americans and often results in significant quality of life impairment and healthcare burden. Despite guidelines calling for palliative care (PC) integration into pulmonary care as a vital part of chronic lung disease management, existing PC models have limited access and lack scalability. Use of telehealth to provide PC offers a potential solution to these barriers. This study explored perceptions of patients with chronic lung disease regarding a telehealth integrated palliative care (TIPC) model, with plans to use findings to inform development of an intervention protocol for future testing.

METHODS: For this qualitative …

Academic Detailing As A Health Information Technology Implementation Method: Supporting The Design And Implementation Of An Emergency Department-Based Clinical Decision Support Tool To Prevent Future Falls, Hanna J Barton, Apoorva Maru, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

Faculty, Staff and Student Publications

BACKGROUND: Clinical decision support (CDS) tools that incorporate machine learning-derived content have the potential to transform clinical care by augmenting clinicians' expertise. To realize this potential, such tools must be designed to fit the dynamic work systems of the clinicians who use them. We propose the use of academic detailing-personal visits to clinicians by an expert in a specific health IT tool-as a method for both ensuring the correct understanding of that tool and its evidence base and identifying factors influencing the tool's implementation.

OBJECTIVE: This study aimed to assess academic detailing as a method for simultaneously ensuring the correct …

Experiences Of Using The Mindset Self-Management Mobile Health App Among Hispanic Patients: Results Of A Qualitative Study, Refugio Sepulveda, Jenny Chong, Ross Shegog, Kimberly Martin, Charles Begley, Robert Addy, Omar Rosales, Tomas Nuño, Shiela Soto, Cecilia Rosales, David Labiner

Faculty, Staff and Student Publications

BACKGROUND: Interventions focusing on epilepsy self-management (ESM) are vital for promoting the health of people living with epilepsy. E-technology and mobile health (mHealth) tools are becoming increasingly integrated into practice to promote self-management strategies for chronic diseases, enhance care delivery, and reduce health disparities. Management Information and Decision Support Epilepsy Tool (MINDSET), a bilingual decision support tool (available in English and Spanish), was found to be both feasible and effective in facilitating goal-based ESM in the clinic.

PURPOSE: To assess the experience of using MINDSET as an ESM intervention among Hispanic patients with epilepsy to inform future interventional studies.

METHODS: …

Association Between Psychosocial Acuity And Glycemic Control In A Pediatric Type 1 Diabetes Clinic., Joseph Wardell, Dana K. Albright Phd, Claire Chang, Melissa A Plegue, Jung Eun Lee, Emily Hirschfeld, Ashley Garrity, Joyce M Lee, Melissa Dejonckheere

Health Services and Informatics Research

PURPOSE: The purpose of this study was to describe the frequency of psychosocial risk and its associations with glycemic levels in youth with type 1 diabetes (T1D) seen by social work staff during regular clinical care.

METHODS: A retrospective longitudinal analysis of observational clinical data was conducted. Individuals (1-26 years) with known T1D who were seen at a pediatric diabetes clinic in a US academic medical center between 2014 and 2021 were included. Variables included psychosocial acuity, A1C, and demographic characteristics. Chi-square tests, Wilcoxon rank sum tests, and mixed linear regressions were used to examine associations between demographic variables, psychosocial …

The Digital Transition: Are Adults Aged 65 Years Or Older Willing To Complete Online Forms And Questionnaires In Patient Portals?, Nancy P Gordon, Sherry Zhang, Joan C Lo, Christina F Li

Faculty, Staff and Student Publications

INTRODUCTION: Patients are being encouraged to complete forms electronically using patient portals rather than on paper, but willingness of older adults to make this transition is uncertain.

METHODS: The authors analyzed data for 4105 Kaiser Permanente Northern California 2020 Member Health Survey respondents aged 65-85 years who answered a question about willingness to complete online forms and questionnaires using a patient portal. Data weighted to the Kaiser Permanente Northern California membership were used to estimate percentages of older adults willing to complete patient portal forms and questionnaires. Chi-square tests and log-Poisson regression models that included sociodemographic, internet use, and patient …

The Acceptance And Use Of Digital Technologies For Self-Reporting Medication Safety Events After Care Transitions To Home In Patients With Cancer: Survey Study, Yun Jiang, Misun Hwang, Youmin Cho, Christopher R Friese, Sarah T Hawley, Milisa Manojlovich, John C Krauss, Yang Gong

Faculty, Staff and Student Publications

BACKGROUND: Actively engaging patients with cancer and their families in monitoring and reporting medication safety events during care transitions is indispensable for achieving optimal patient safety outcomes. However, existing patient self-reporting systems often cannot address patients' various experiences and concerns regarding medication safety over time. In addition, these systems are usually not designed for patients' just-in-time reporting. There is a significant knowledge gap in understanding the nature, scope, and causes of medication safety events after patients' transition back home because of a lack of patient engagement in self-monitoring and reporting of safety events. The challenges for patients with cancer in …

Deep Learning Model For Personalized Prediction Of Positive Mrsa Culture Using Time-Series Electronic Health Records, Masayuki Nigo, Laila Rasmy, Bingyu Mao, Bijun Sai Kannadath, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health record (EHR) time-series data, including wide-variety patient specific data, to predict MRSA culture positivity within two weeks. 8,164 MRSA and 22,393 non-MRSA patient events from Memorial Hermann Hospital System, Houston, Texas are used for model development. PyTorch_EHR outperforms logistic regression (LR) and light gradient boost machine (LGBM) models in accuracy (AUROC

Offloading And Adherence Through Technological Advancements: Modern Approaches For Better Foot Care In Diabetes, Sicco A Bus, Neil D Reeves, David G Armstrong, Bijan Najafi

Center on Aging Staff Publications

Objective: This manuscript aims to provide a review and synthesis of contemporary advancements in footwear, sensor technology for remote monitoring, and digital health, with a focus on improving offloading and measuring and enhancing adherence to offloading in diabetic foot care.

Methods: A narrative literature review was conducted by sourcing peer-reviewed articles, clinical studies, and technological innovations. This paper includes a review of various strategies, from specifically designed footwear, smart insoles and boots to using digital health interventions, which aim to offload plantar pressure and help prevent and manage wounds more effectively by improving the adherence to such offloading.

Results: In-house …

Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Smartphone-based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored.

METHODS AND RESULTS: A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive

CONCLUSIONS: Our findings demonstrate that smartphone-based cognitive assessments exhibit concurrent validity with a …

Multi-Site Benchmark Classification Of Major Depressive Disorder Using Machine Learning On Cortical And Subcortical Measures, Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R K Ching, Colm G Connolly, Kathryn Cullen, Christopher G Davey, Danai Dima, Annemiek Dols, Jennifer W Evans, Cynthia H Y Fu, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke Groenewold, J Paul Hamilton, Ben J Harrison, Tiffany C Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Elisa Melloni, Bryon A Mueller, Amar Ojha, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Elena Pozzi, Liesbeth Reneman, Matthew D Sacchet, Philipp G Sämann, Anouk Schrantee, Kang Sim, Jair C Soares, Dan J Stein, Sophia I Thomopoulos, Aslihan Uyar-Demir, Nic J A Van Der Wee, Steven J A Van Der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Roberto Goya-Maldonado, Enigma Major Depressive Disorder Working Group

Faculty, Staff and Student Publications

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (N = 5365) to provide a generalizable ML classification benchmark of major depressive disorder (MDD) using shallow linear and non-linear models. Leveraging brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD versus healthy controls (HC) with a balanced accuracy …

Designing A Blockchain-Empowered Telehealth Artifact For Decentralized Identity Management And Trustworthy Communication: Interdisciplinary Approach, Xueping Liang, Nabid Alam, Tahmina Sultana, Eranga Bandara, Sachin Shetty

VMASC Publications

Background: Telehealth played a critical role during the COVID-19 pandemic and continues to function as an essential component of health care. Existing platforms cannot ensure privacy and prevent cyberattacks.

Objective: The main objectives of this study are to understand existing cybersecurity issues in identity management and trustworthy communication processes in telehealth platforms and to design a software architecture integrated with blockchain to improve security and trustworthiness with acceptable performance.

Methods: We improved personal information security in existing telehealth platforms by adopting an innovative interdisciplinary approach combining design science, social science, and computer science in the health care domain, with prototype …

A Multi-Institutional Natural Language Processing Pipeline To Extract Performance Status From Electronic Health Records, Arash Maghsoudi, Yvonne H Sada, Sara Nowakowski, Danielle Guffey, Huili Zhu, Sudha R Yarlagadda, Ang Li, Javad Razjouyan

Faculty, Staff and Students Publications

PURPOSE: Performance status (PS), an essential indicator of patients' functional abilities, is often documented in clinical notes of patients with cancer. The use of natural language processing (NLP) in extracting PS from electronic medical records (EMRs) has shown promise in enhancing clinical decision-making, patient monitoring, and research studies. We designed and validated a multi-institute NLP pipeline to automatically extract performance status from free-text patient notes.

PATIENTS AND METHODS: We collected data from 19,481 patients in Harris Health System (HHS) and 333,862 patients from veteran affair's corporate data warehouse (VA-CDW) and randomly selected 400 patients from each data source to train …

Perceptions Of Acute Care Telemedicine Among Caregivers For Persons Living With Dementia: A Qualitative Study, Anita Chary, Norvin Hernandez, Ana Paulina Rivera, Vivian Ramont, Tracey Obi, Ilianna Santangelo, Christine Ritchie, Hardeep Singh, Emily Hayden, Aanand D Naik, Shan Liu, Maura Kennedy

Faculty, Staff and Student Publications

Persons living with dementia (PLWD) have high emergency department (ED) utilization. Little is known about using telemedicine with PLWD and caregivers as an alternative to ED visits for minor acute health problems. This qualitative interview-based study elicited caregivers' perspectives about the acceptability of telemedicine for acute complaints. We performed telephone interviews with 28 caregivers of PLWD from two academic EDs, one in the Northeast and another in the South. Using a combined deductive-inductive approach, we coded interview transcripts and elucidated common themes by consensus. All caregivers reported they would need to participate in the telemedicine visit to help overcome communication …

Expanding A Behavioral View On Digital Health Access: Drivers And Strategies To Promote Equity, Maura M. Kepper, Lauren A. Fowler, Isabelle S. Kusters, Jean W. Davis, Manal Baqer, Sarah Sagui-Henson, Yunyu Xiao, Adati Tarfa, Jean C. Yi, Bryan Gibson, Kristin E. Heron, Nicole M. Alberts, Marissa Burgermaster, Veronica Njie-Carr, Lisa M. Klesges

Psychology Faculty Publications

The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened during the COVID-19 pandemic. Our viewpoint is that (1) digital health tools have the potential to improve health equity if equitable access is achieved, and (2) improving access and equity in digital health can be strengthened by considering behavioral science-based strategies embedded in all phases of tool development. Using behavioral, equity, and access frameworks allowed for …

Athletic Trainer's Perceptions Of And Experiences With Professional Development Approaches For Enhancing Clinical Documentation, Sarah L. Nottingham, Tricia M. Kasamatsu, Julie M. Cavallario, Cailee E. Welch Bacon

Rehabilitation Sciences Faculty Publications

Context

Little is known about how athletic trainers (ATs) learn clinical documentation, but previous studies have identified that ATs have a need for more educational resources specific to documentation.

Objective

To obtain ATs' perspectives on learning clinical documentation.

Design

Qualitative study.

Setting

Web-based audio interviews.

Patients or Other Participants

Twenty-nine ATs who completed 2 different continuing education (CE) clinical documentation modules. Participants averaged 36.2 ± 9.0 years of age and included 16 women and 13 men representing 21 US states and 8 clinical practice settings.

Data Collection and Analysis

Participants were recruited from a group of ATs who completed 1 …

Post-Covid-19 Cognitive Symptoms In Patients Assisted By A Teleassistance Service: A Retrospective Cohort Study, Lívia Paula Freire Bonfim, Thais Rotsen Correa, Bruno Cabaleiro Cortizo Freire, Thais Marques Pedroso, Daniella Nunes Pereira, Thalita Baptisteli Fernandes, Luciane Kopittke, Clara Rodrigues Alves De Oliveira, Antonio Lucio Teixeira, Milena Soriano Marcolino

Faculty, Staff and Student Publications

INTRODUCTION: Four years after the onset of the COVID-19 pandemic, the frequency of long-term post-COVID-19 cognitive symptoms is a matter of concern given the impact it may have on the work and quality of life of affected people.

OBJECTIVE: To evaluate the incidence of post-acute COVID-19 cognitive symptoms, as well as the associated risk factors.

METHODS: Retrospective cohort, including outpatients with laboratory-confirmed COVID-19 and who were assisted by a public telehealth service provided by the Telehealth Network of Minas Gerais (TNMG), during the acute phase of the disease, between December/2020 and March/2022. Data were collected through a structured questionnaire, applied …

Attachment Security And Problematic Media Use In Infancy: A Longitudinal Study In The United States., Jane Shawcroft, Sarah M Coyne, Lisa Linder, Brandon N Clifford, Brandon T. Mcdaniel Phd

Health Services and Informatics Research

Media use during childhood has quickly become a norm across the United States and in other countries. One area still not well understood is the development of problematic (or maladaptive and disruptive) media use in children. This research examines the role of attachment security as a central component in the development of problematic media use over time in a sample of 248 parent-child dyads (9.50% African American, 20.66% Hispanic, 62.81% White, 2.07% Asian, 4.96% other ethnicities). We examined the relationship between attachment security and problematic media use one and 2 years later. We then constructed a mediation model examining parent …

Acute And Chronic Kidney Injury During Therapy For Pediatric Acute Leukemia: A Report From The Leukemia Electronic Abstraction Of Records Network (Learn), Wendy Hsiao, Yimei Li, Kelly Getz, Lusha Cao, Edward Krause, Mark Ramos, Judy Lee, Maria Monica Gramatges, Karen R Rabin, Michael E Scheurer, Richard Aplenc, Michelle Denburg, Tamara P Miller

Center for Medical Ethics and Health Policy Staff Publications

Children with acute leukemia are at increased risk of kidney injury. Using electronic health record data from three centers between 2010 and 2018, this study retrospectively described acute kidney injury (AKI) and chronic kidney disease (CKD) prevalence in children with acute lymphoblastic or myeloid leukemia (ALL, AML) using Common Terminology Criteria for Adverse Events (CTCAE) and Kidney Disease Improving Global Outcomes (KDIGO) definitions. AKI during therapy was 25% (ALL) and 32% (AML) using CTCAE, versus 84% (ALL) and 74% (AML) using KDIGO. CKD prevalence was low and Grade 1/Stage 2. Further investigation is needed to optimally define kidney injury in …

Innovation Process And Industrial System Of Us Food And Drug Administration-Approved Software As A Medical Device: Review And Content Analysis, Jiakan Yu, Jiajie Zhang, Shintaro Sengoku

Faculty, Staff and Student Publications

BACKGROUND: There has been a surge in academic and business interest in software as a medical device (SaMD). SaMD enables medical professionals to streamline existing medical practices and make innovative medical processes such as digital therapeutics a reality. Furthermore, SaMD is a billion-dollar market. However, SaMD is not clearly understood as a technological change and emerging industry.

OBJECTIVE: This study aims to review the landscape of SaMD in response to increasing interest in SaMD within health systems and regulation. The objectives of the study are to (1) clarify the innovation process of SaMD, (2) identify the prevailing typology of such …

Cost And Utilization Of Healthcare Services For Persons With Diabetes., Evan L Reynolds, Kara Mizokami-Stout, Nathaniel M Putnam, Mousumi Banerjee, Dana Albright, Lynn Ang, Joyce Lee, Rodica Pop-Busui, Eva L Feldman, Brian C Callaghan

Health Services and Informatics Research

AIMS: Describe and compare healthcare costs and utilization for insured persons with type 1 diabetes (T1D), type 2 diabetes (T2D), and without diabetes in the United States.

METHODS: Using a nationally representative healthcare claims database, we identified matched persons with T1D, T2D, and without diabetes using a propensity score quasi-randomization technique. In each year between 2009 and 2018, we report costs (total and out-of-pocket) and utilization for all healthcare services and those specific to medications, diabetes-related supplies, visits to providers, hospitalizations, and emergency department visits.

RESULTS: In 2018, we found out-of-pocket costs and total costs were highest for persons with …