Health Information Technology Commons^™

Individual- And Neighborhood-Level Characteristics Of Lung Cancer Screening Participants Undergoing Telemedicine Shared Decision Making, Christine S. Shusted, Hee-Soon Juon, Brooke Ruane, Brian M. Till, Charnita Zeigler-Johnson, Russell K. Mcintire, Tyler Grenda, Olugbenga Okusanya, Nathaniel R. Evans, Gregory C. Kane, Julie Barta

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

BACKGROUND: Although lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this approach in the context of LCS are urgently needed. We aimed to identify sociodemographic and other factors associated with screening completion among individuals undergoing telemedicine Shared Decision Making (SDM) for LCS.

METHODS: This retrospective study examined patients who completed Shared Decision Making (SDM) via telemedicine between May 4, 2020 - March 18, 2021 in a centralized LCS program. Individuals were …

Evaluation Of Negative Binomial And Zero-Inflated Negative Binomial Models For The Analysis Of Zero-Inflated Count Data: Application To The Telemedicine For Children With Medical Complexity Trial, Kyung Hyun Lee, Claudia Pedroza, Elenir B C Avritscher, Ricardo A Mosquera, Jon E Tyson

Faculty, Staff and Student Publications

BACKGROUND: Two characteristics of commonly used outcomes in medical research are zero inflation and non-negative integers; examples include the number of hospital admissions or emergency department visits, where the majority of patients will have zero counts. Zero-inflated regression models were devised to analyze this type of data. However, the performance of zero-inflated regression models or the properties of data best suited for these analyses have not been thoroughly investigated.

METHODS: We conducted a simulation study to evaluate the performance of two generalized linear models, negative binomial and zero-inflated negative binomial, for analyzing zero-inflated count data. Simulation scenarios assumed a randomized …

Abnormal Motion Capture In Acute Stroke (Bionics): A Low-Cost Tele-Evaluation Tool For Automated Assessment Of Upper Extremity Function In Stroke Patients, Syed A Zamin, Kaichen Tang, Emily A Stevens, Melissa Howard, Dorothea M Parker, Allyson Seals, Xiaoqian Jiang, Sean Savitz, Shayan Shams

Faculty, Staff and Student Publications

BACKGROUND: The incidence of stroke and stroke-related hemiparesis has been steadily increasing and is projected to become a serious social, financial, and physical burden on the aging population. Limited access to outpatient rehabilitation for these stroke survivors further deepens the healthcare issue and estranges the stroke patient demographic in rural areas. However, new advances in motion detection deep learning enable the use of handheld smartphone cameras for body tracking, offering unparalleled levels of accessibility.

METHODS: In this study we want to develop an automated method for evaluation of a shortened variant of the Fugl-Meyer assessment, the standard stroke rehabilitation scale …

Cancer Patients' Preferences And Perceptions Of Advantages And Disadvantages Of Telehealth Visits During The Covid-19 Pandemic, Deepika Kumar, Nancy Gordon, Constanza Zamani, Tammy Sheehan, Ernesto Martin, Olga Egorova, Jessica Payne, Tatjana Kolevska, Elad Neeman, Raymond Liu

Faculty, Staff and Student Publications

PURPOSE: We aimed to ascertain oncology patients' perceptions of telehealth versus in-person (IP) visits for different types of clinical encounters.

METHODS: We surveyed adults undergoing cancer treatment at Kaiser Permanente Northern California infusion centers between November 2021 and May 2022 using a self-administered questionnaire. Patients were asked about visit modality preferences (video, phone, and IP) for six types of clinical discussions, overall advantages and disadvantages of telehealth (video or phone) versus IP modalities, and barriers to video visit use.

RESULTS: The 839 patients who completed surveys in English were 63% female; median age 63 years; 64% White; and 73% college-educated …

Strategies For Advancing Equity In Frontline Clinical Assessment, Chavon M Onumah, Amber T Pincavage, Cindy J Lai, Diane L Levine, Nadia J Ismail, Irene Alexandraki, Nora Y Osman

Faculty and Staff Publications

Educational equity in medicine cannot be achieved without addressing assessment bias. Assessment bias in health professions education is prevalent and has extensive implications for learners and, ultimately, the health care system. Medical schools and educators desire to minimize assessment bias, but there is no current consensus on effective approaches. Frontline teaching faculty have the opportunity to mitigate bias in clinical assessment in real time. Based on their experiences as educators, the authors created a case study about a student to illustrate ways bias affects learner assessment. In this paper, the authors use their case study to provide faculty with evidence-based …

Use Of Telemedicine For Postdischarge Assessment Of The Surgical Wound: International Cohort Study, And Systematic Review With Meta-Analysis, Nihr Global Health Research Unit On Global Surgery, Globalsurg Collaborative

Faculty, Staff and Student Publications

OBJECTIVE: This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardized assessment tools are needed.

BACKGROUND: Surgical site infection (SSI) is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery.

METHODS: The primary outcome of this study was SSI reported up to 30 days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analyzed primary data from …

Reviewing Internal Medicine Clerkship Grading Through A Proequity Lens: Results Of A National Survey, Cindy J Lai, Irene Alexandraki, Nadia Ismail, Diane Levine, Chavon Onumah, Amber T Pincavage, Jackcy Jacob, Melissa Osborn Jenkins, Amulya Nagarur, Michael Kisielewski, Nora Y Osman

Faculty and Staff Publications

Purpose: Equity in assessment and grading has become imperative across medical education. Although strategies to promote equity exist, there may be variable penetrance across institutions. The objectives of this study were to identify strategies internal medicine (IM) clerkship directors (CDs) use to reduce inequities in assessment and grading and explore IM CDs' perceptions of factors that impede or facilitate the implementation of these strategies.

Method: From October to December 2021, the Clerkship Directors in Internal Medicine of the Alliance for Academic Internal Medicine conducted its annual survey of IM core CDs at 137 U.S. and U.S. territory-based medical schools. This …

Machine Learning-Based Aggression Detection In Children With Adhd Using Sensor-Based Physical Activity Monitoring, Catherine Park, Mohammad Dehghan Rouzi, Md Moin Uddin Atique, M G Finco, Ram Kinker Mishra, Griselda Barba-Villalobos, Emily Crossman, Chima Amushie, Jacqueline Nguyen, Chadi Calarge, Bijan Najafi

Center on Aging Staff Publications

Aggression in children is highly prevalent and can have devastating consequences, yet there is currently no objective method to track its frequency in daily life. This study aims to investigate the use of wearable-sensor-derived physical activity data and machine learning to objectively identify physical-aggressive incidents in children. Participants (n = 39) aged 7 to 16 years, with and without ADHD, wore a waist-worn activity monitor (ActiGraph, GT3X+) for up to one week, three times over 12 months, while demographic, anthropometric, and clinical data were collected. Machine learning techniques, specifically random forest, were used to analyze patterns that identify physical-aggressive incident …

Leveraging The Electronic Health Record To Implement Emergency Department Delirium Screening, Anita N Chary, Elise Brickhouse, Beatrice Torres, Ilianna Santangelo, Christopher R Carpenter, Shan W Liu, Kyler M Godwin, Aanand D Naik, Hardeep Singh, Maura Kennedy

Faculty, Staff and Students Publications

OBJECTIVE: The aim of this study is to understand how emergency departments (EDs) use health information technology (HIT), and specifically the electronic health record (EHR), to support implementation of delirium screening.

METHODS: We conducted semi-structured interviews with 23 ED clinician-administrators, representing 20 EDs, about how they used HIT resources to implement delirium screening. Interviews focused on challenges participants experienced when implementing ED delirium screening and EHR-based strategies they used to overcome them. We coded interview transcripts using dimensions from the Singh and Sittig sociotechnical model, which addresses use of HIT in complex adaptive health care systems. Subsequently, we analyzed data …

Prediction Of Brain Metastases Development In Patients With Lung Cancer By Explainable Artificial Intelligence From Electronic Health Records, Zhao Li, Rongbin Li, Yujia Zhou, Laila Rasmy, Degui Zhi, Ping Zhu, Antonio Dono, Xiaoqian Jiang, Hua Xu, Yoshua Esquenazi, W Jim Zheng

Faculty, Staff and Student Publications

PURPOSE: Early detection of brain metastases (BMs) is critical for prompt treatment and optimal control of the disease. In this study, we seek to predict the risk of developing BM among patients diagnosed with lung cancer on the basis of electronic health record (EHR) data and to understand what factors are important for the model to predict BM development through explainable artificial intelligence approaches accurately.

MATERIALS AND METHODS: We trained a recurrent neural network model, REverse Time AttentIoN (RETAIN), to predict the risk of developing BM using structured EHR data. To interpret the model's decision process, we analyzed the attention …

Telemental Health In Emergency Care Settings: A Qualitative Analysis Of Considerations For Sustainability And Spread, Mckenzie K Roddy, Patricia Chen, Alvin D Jeffery, Jeydith Gutierrez, Melissa Rubenstein, Corey Campbell, Eric Blake, Michael J Ward

Faculty, Staff and Students Publications

Objectives: Following rapid uptake of telehealth during the COVID-19 pandemic, we examined barriers and facilitators for sustainability and spread of telemental health video (TMH-V) as policies regarding precautions from the pandemic waned.

Methods: We conducted a qualitative study using semistructured interviews and observations guided by RE-AIM. We asked four groups, local clinicians, facility leadership, Veterans, and external partners, about barriers and facilitators impacting patient willingness to engage in TMH-V (reach), quality of care (effectiveness), barriers and facilitators impacting provider uptake (adoption), possible adaptations to TMH-V (implementation), and possibilities for long-term use of TMH-V (maintenance). Interviews were recorded, transcribed, and analyzed …

A Scoping Review Of Digital Health Interventions For Combating Covid-19 Misinformation And Disinformation, Katarzyna Czerniak, Raji Pillai, Abhi Parmar, Kavita Ramnath, Joseph Krocker, Sahiti Myneni

Faculty, Staff and Student Publications

OBJECTIVE: We provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread.

MATERIALS AND METHODS: We applied our search protocol to PubMed, PsychINFO, and Web of Science to screen 1666 articles. The 17 articles included in this paper are experimental and interventional studies that developed and tested public consumer-facing DHIs. We examined these DHIs to understand digital features, incorporation of theory, the role of healthcare professionals, end-user experience, and implementation issues.

RESULTS: The majority of studies (n = 11) used social media in DHIs, but there was a lack of platform-agnostic generalizability. …

Taking A Load Off: User Perceptions Of Smart Offloading Walkers For Diabetic Foot Ulcers Using The Technology Acceptance Model, M G Finco, Gozde Cay, Myeounggon Lee, Jason Garcia, Elia Salazar, Tze-Woei Tan, David G Armstrong, Bijan Najafi

Center on Aging Staff Publications

People with diabetic foot ulcers (DFUs) are commonly prescribed offloading walkers, but inadequate adherence to prescribed use can be a barrier to ulcer healing. This study examined user perspectives of offloading walkers to provide insight on ways to help promote adherence. Participants were randomized to wear: (1) irremovable, (2) removable, or (3) smart removable walkers (smart boot) that provided feedback on adherence and daily walking. Participants completed a 15-item questionnaire based on the Technology Acceptance Model (TAM). Spearman correlations assessed associations between TAM ratings with participant characteristics. Chi-squared tests compared TAM ratings between ethnicities, as well as 12-month retrospective fall …

Pediatric Consultation-Liaison Psychology: Insights And Lessons Learned During The Covid-19 Pandemic, Nicole M Schneider, Dara M Steinberg, Andrea M Garcia, Jessy Guler, Emily Mudd, A Monica Agoston, Katherine N Schwartzkopf, Kristin A Kullgren, Laura Judd-Glossy

Faculty, Staff and Students Publications

COVID-19 has presented a variety of challenges to the provision of psychology services. In the first month of the pandemic, pediatric consultation-liaison (CL) psychologists reported significant changes in methodology of service delivery (Steinberg et al. in Clin Pract Pediatr Psychol 9:1, 2020). To better understand how and if these changes persisted, as well as other emerging trends, a follow-up study examined changes and challenges six months into the pandemic. An anonymous questionnaire assessed topics related to pediatric CL psychology including practice changes, perception of changes, and institutional support. The questionnaire was sent to the APA Society of Pediatric Society's special …

Telemedicine Use Among Physiatrists During The Early Phase Of The Covid-19 Pandemic And Potential For Future Use, Sameer Siddiqui, Ellen Farr, Nathaniel Dusto, Liqi Chen, Masha Kocherginsky, Felicia Skelton, Monica Verduzco-Gutierrez, Sujin Lee

Faculty, Staff and Students Publications

No abstract provided.

Conducting Clinical Genomics Research During The Covid-19 Pandemic: Lessons Learned From The Cser Consortium Experience, Stephanie A Kraft, Heidi Russell, Jeannette T Bensen, Katherine E Bonini, Jill O Robinson, Nuriye Sahin-Hodoglugil, Kathleen Renna, Lucia A Hindorff, Dave Kaufman, Carol R Horowitz, Margaret Waltz, Jamilyn M Zepp, Sara J Knight

Faculty, Staff and Student Publications

Clinical research studies have navigated many changes throughout the COVID-19 pandemic. We sought to describe the pandemic's impact on research operations in the context of a clinical genomics research consortium that aimed to enroll a majority of participants from underrepresented populations. We interviewed (July to November 2020) and surveyed (May to August 2021) representatives of six projects in the Clinical Sequencing Evidence-Generating Research (CSER) consortium, which studies the implementation of genome sequencing in the clinical care of patients from populations that are underrepresented in genomics research or are medically underserved. Questions focused on COVID's impact on participant recruitment, enrollment, and …

A Training Curriculum For An Mhealth Supported Peer Counseling Program To Promote Exclusive Breastfeeding In Rural India, Roopa M. Bellad, Niranjana S. Mahantshetti, Umesh S. Charantimath, Tony Ma, Yukiko Washio, Vanessa L. Short, Katie Chang, Parth Lalakia, Frances J. Jaeger, Patricia J. Kelly, Geetanjali Mungarwadi, Chandrashekar C. Karadiguddi, Shivaprasad S. Goudar, Richard J. Derman

Department of Pediatrics Faculty Papers

BACKGROUND: Despite strong evidence about the benefits of exclusive breastfeeding, that is the baby receiving only breast milk, no other foods or liquids, rates have remained relatively unchanged over the past two decades in low- and middle-income countries. One strategy for increasing exclusive breastfeeding is through community-based programs that use peer counselors for education and support. The use of mobile health applications is also gaining increasing applicability in these countries. Minimal information is available about training peer counselors in the use of mobile technologies to support exclusive breastfeeding. The present article describes our curriculum in the state of Karnataka, India …

Virtual Home Visits During Covid-19 Pandemic: Mothers' And Home Visitors' Perspectives, Abdullah Al-Taiar, Michele A. Kekeh, Stephanie Ewers, Amy L. Prusinski, Kimberly J. Alombro, Nancy Welch

Community & Environmental Health Faculty Publications

Background

The experiences of mothers enrolled in Maternal, Infant and Early Childhood Home Visiting (MIECHV) program with virtual home visiting (VHV) during the pandemic remain mostly unknown. This study aimed to describe in detail the experience of home visitors and mothers with VHV during COVID-19 pandemic. This is a prerequisite for guiding future efforts to optimize MIECHV services that are provided through virtual operation.

Methods

Focus groups discussion were conducted with home visitors (n = 13) and mothers (n = 30) who were enrolled in BabyCare program in Virginia from January 2019 to June 2022. This included mothers who received …

The Current Status And Future Prospects For Conversion Therapy In The Treatment Of Hepatocellular Carcinoma, Jinfeng Bai, Ming Huang, Bohan Song, Wei Luo, Rong Ding

Faculty, Staff and Student Publications

Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related deaths worldwide. In China, most HCC patients are diagnosed with advanced disease and in these cases surgery is challenging. Conversion therapy can be used to change unresectable HCC into resectable disease and is a potential breakthrough treatment strategy. The resection rate for unresectable advanced HCC has recently improved as a growing number of patients have benefited from conversion therapy. While conversion therapy is at an early stage of development, progress in patient selection, optimum treatment methods, and the timing of surgery have the potential to deliver significant benefits. In …

Architectural Design Of A Blockchain-Enabled, Federated Learning Platform For Algorithmic Fairness In Predictive Health Care: Design Science Study, Xueping Liang, Juan Zhao, Yan Chen, Eranga Bandara, Sachin Shetty

VMASC Publications

Background: Developing effective and generalizable predictive models is critical for disease prediction and clinical decision-making, often requiring diverse samples to mitigate population bias and address algorithmic fairness. However, a major challenge is to retrieve learning models across multiple institutions without bringing in local biases and inequity, while preserving individual patients' privacy at each site.

Objective: This study aims to understand the issues of bias and fairness in the machine learning process used in the predictive health care domain. We proposed a software architecture that integrates federated learning and blockchain to improve fairness, while maintaining acceptable prediction accuracy and minimizing overhead …

Conceptualizing Care Partners' Burden, Stress, And Support For Reintegrating Veterans: A Mixed Methods Study., Nicholas A Rattray, Mindy Flanagan, Allison Mann, Leah Danson, Ai-Nghia Do, Diana Natividad, Katrina Spontak, Gala True

Health Services and Informatics Research

BACKGROUND: People who support Veterans as they transition from their military service into civilian life may be at an increased risk of psychological distress. Existing studies focus primarily on paid family caregivers, but few studies include spouses and informal non-family "care partners." We sought to identify key challenges faced by care partners of Veterans with invisible injuries.

METHODS: Semi-structured interviews were conducted with 36 individuals involved in supporting a recently separated US military Veteran enrolled in a 2-year longitudinal study. CPs completed validated measures on perceived stress, caregiving burden, quality of their relationship, life satisfaction, and flourishing. Independent

RESULTS: Care …

Burnout During The Covid-19 Pandemic: A Report On Pediatric Residents, Linessa M Zuniga, Abigail Schuh, Alan Schwartz, Patricia Seo-Mayer, Rachel Cramton, Kira Sieplinga, Ruchi Kaushik, Lauren Nassetta, Jason H Homme, Jessica Babal, John D Mahan, Maneesh Batra

Faculty, Staff and Students Publications

Background and objective: The Pediatric Resident Burnout and Resilience Consortium (PRB-RSC) has described the epidemiology of burnout in pediatric residents since 2016. We hypothesized burnout rates during the pandemic would increase. We explored resident burnout during the COVID-19 pandemic and its relationship to resident perception of workload, training, personal life, and local COVID burden.

Methods: Since 2016, PRB-RSC has sent an annual, confidential survey to over 30 pediatric and medicine-pediatrics residencies. In 2020 and 2021, seven questions were added to explore the relationship of COVID-19 and perceptions of workload, training, and personal life.

Results: In 2019, 46 programs participated, 22 …

A Novel Use Of Bar Code Medication Administration Data To Assess Nurse Staffing And Workload, Melissa K Knox, Paras D Mehta, Lynette E Dorsey, Christine Yang, Laura A Petersen

Faculty, Staff and Students Publications

OBJECTIVE: The aim of the study is to introduce an innovative use of bar code medication administration (BCMA) data, medication pass analysis, that allows for the examination of nurse staffing and workload using data generated during regular nursing workflow.

METHODS: Using 1 year (October 1, 2014-September 30, 2015) of BCMA data for 11 acute care units in one Veterans Affairs Medical Center, we determined the peak time for scheduled medications and included medications scheduled for and administered within 2 hours of that time in analyses. We established for each staff member their daily peak-time medication pass characteristics (number of patients, …

Dual-Task Upper Extremity Motor Performance Measured By Video Processing As Cognitive-Motor Markers For Older Adults, Changhong Wang, Mohsen Zahiri, Ashkan Vaziri, Bijan Najafi

Center on Aging Staff Publications

Introduction: The use of dual-task model such as dual-task gait has been extensively studied to assess cognitive-motor performance among older adults. However, space restriction and safety factor limit its applications in remote assessment. To address the gap, we propose a video processing-based approach to remotely quantify cognitive-motor performance using a 20-s repetitive elbow flexion-extension test with dual-task condition, called video-based motoric-cognitive meter (MCM).

Methods: Eighteen older participants (age: 78.6 ± 6.5 years) who were clinically diagnosed as having either mild cognitive impairment or dementia were included in this study. Participants were asked to perform 20-s repetitive elbow flexion-extension exercise with …

Conceptualizing Care Partners' Burden, Stress, And Support For Reintegrating Veterans: A Mixed Methods Study., Nicholas A Rattray, Mindy Flanagan, Allison Mann, Leah Danson, Ai-Nghia Do, Diana Natividad, Katrina Spontak, Gala True

Health Services and Informatics Research

BACKGROUND: People who support Veterans as they transition from their military service into civilian life may be at an increased risk of psychological distress. Existing studies focus primarily on paid family caregivers, but few studies include spouses and informal non-family "care partners." We sought to identify key challenges faced by care partners of Veterans with invisible injuries.

METHODS: Semi-structured interviews were conducted with 36 individuals involved in supporting a recently separated US military Veteran enrolled in a 2-year longitudinal study. CPs completed validated measures on perceived stress, caregiving burden, quality of their relationship, life satisfaction, and flourishing. Independent

RESULTS: Care …

Neuromotor Changes In Participants With A Concussion History Can Be Detected With A Custom Smartphone App, Christopher K. Rhea, Masahiro Yamada, Nikita A. Kuznetsov, Jason T. Jakiela, Chanel T. Lojacono, Scott E. Ross, F. J. Haran, Jason M. Bailie, W. Geoffrey Wright

Moss-Magee Rehabilitation Papers

Neuromotor dysfunction after a concussion is common, but balance tests used to assess neuromotor dysfunction are typically subjective. Current objective balance tests are either cost- or space-prohibitive, or utilize a static balance protocol, which may mask neuromotor dysfunction due to the simplicity of the task. To address this gap, our team developed an Android-based smartphone app (portable and cost-effective) that uses the sensors in the device (objective) to record movement profiles during a stepping-in-place task (dynamic movement). The purpose of this study was to examine the extent to which our custom smartphone app and protocol could discriminate neuromotor behavior between …

Low Rates Of Structured Advance Care Planning Documentation In Electronic Health Records: Results Of A Single-Center Observational Study, Adela Wu, Robert J Huang, Gabriela Ruiz Colón, Chris Zembrzuski, Chirag B Patel

Faculty, Staff and Student Publications

BACKGROUND: Proper advance care planning (ACP) documentation both improves patient care and is increasingly seen as a marker of high quality by governmental payers. The transition of most medical documentation to electronic health records (EHR) allows for ACP documents to be rapidly disseminated across diverse ambulatory practice settings. At the same time, the complexity and heterogeneity of the EHR, as well as the multiple potential storage locations for documentation, may lead to confusion and inaccessibility. There has been movement to promote structured ACP (S-ACP) documentation within the EHR.

METHODS: We performed a retrospective cohort study at a single, large university …

Prevalence Of Prediabetes And Diabetes Vary By Ethnicity Among Us Asian Adults At Healthy Weight, Overweight, And Obesity Ranges: An Electronic Health Record Study, William S Vicks, Joan C Lo, Lynn Guo, Jamal S Rana, Sherry Zhang, Nirmala D Ramalingam, Nancy P Gordon

Faculty, Staff and Student Publications

BACKGROUND: Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system.

METHODS: Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were …

Evidence Of Phone Vs Video-Conferencing For Mental Health Treatments: A Review Of The Literature, Patricia V Chen, Ashley Helm, Steve G Caloudas, Anthony Ecker, Giselle Day, Julianna Hogan, Jan Lindsay

Faculty, Staff and Students Publications

PURPOSE OF REVIEW: The goal of this paper is to provide a comparative review of using phone (audio-only) or video for mental health treatments. Our review includes evidence of phone and video's effectiveness in terms of reduced symptomology, retention, satisfaction, therapeutic alliance, and other outcomes of interest. This review also discusses how patients and providers' experiences and attitudes differ between these two modalities. Finally, we present information on different usage rates of phone and video across patient populations and mental health provider types, and different implementation strategies.

RECENT FINDINGS: Treatments through phone and video are both able to reduce symptoms …

Self-Regulation As A Protective Factor For Diabetes Distress And Adherence In Youth With Type 1 Diabetes During The Covid-19 Pandemic., Alison L Miller, Dana K. Albright Phd, Katherine W Bauer, Hurley O Riley, Marisa E Hilliard, Julie Sturza, Niko Kaciroti, Sharon L Lo, Katy M Clark, Joyce M Lee, Emily M Fredericks

Health Services and Informatics Research

OBJECTIVE: The COVID-19 pandemic increased economic, social, and health stressors for families, yet its impacts on families of youth with chronic conditions, such as type 1 diabetes (T1D), are not well understood. Self-regulation (SR)-or the capacities to control emotions, cognition, and behavior in response to challenge-is known to support T1D management and coping in the face of stress. Strong SR may have protected youth with T1D from the impacts of pandemic-related stressors. This study compared youth and parent emotional functioning and T1D management before and after the pandemic's onset in relation to family pandemic-related stress and youth SR.

METHODS: Parents …