Health Information Technology Commons^™

Does Accountability Affect Adherence To Moisturizer Treatment In Atopic Patients With Xerosis?, Stuti Prajapati, Christina Kontzias, Steven Feldman

Rowan-Virtua Research Day

Introduction: Xerosis is common in atopic dermatitis (AD). Adherence depends on factors such as complexity of treatments, disease understanding and accountability. Accountability is a psychobehavioral construct, referring to the expectation that one must be responsible for their actions or inactions.

Objective: We sought to assess whether interventions expected to improve accountability would be associated with improved adherence to xerosis treatment.

Method: This is a prospective study of 30 patients diagnosed with xerosis . Patients were given moisturizer with an electronic monitor to record adherence and asked to apply it once daily for three months. Subjects were randomized into one of …

A Clinician's Guide To 23andme: A Survey-Based Study On People’S Attitudes And Actions Towards Direct-To-Consumer Genetic Testing, Julia Kiffel, Rifke Anolik, Alexander Kowalski

Rowan-Virtua Research Day

Background: While direct-to-consumer (DTC) at-home genetic testing like 23andMe provides users with potentially valuable information about their genetics and health risks, consumers might not have the background or knowledge to fully comprehend and interpret the results. This concept is a pressing issue because of the rise in popularity of these DTC genetic tests.

Purpose: The goal of this study is to elucidate the beliefs and attitudes of 23andMe users and determine the relationship between their test results and likelihood for taking medical action. The results from the study will give clinicians and primary care providers (PCPs) insight into how to …

Technology-Enabled Behavioral Health Integration Decreases Emergency Department Utilization, Adam Pardes, Rachelle Rene, Phansy Chun Chun, Mollie Cherson

Jefferson Hospital Staff Papers and Presentations

Background:

Behavioral health integration allows for patient-centered care, leads to higher levels of provider-patient engagement, and is key to improving patient outcomes. However, behavioral health integration is administratively burdensome and therefore is often not adopted. Technology presents opportunities to increase care team efficiency and improve patient outcomes. The goal of this study was to retrospectively compare clinical outcomes and emergency department utilization in patients using a technology platform compared to patients receiving treatment as usual.

Methods:

The technology platform, NeuroFlow, was deployed to deliver technology-enabled behavioral health integration in 30 clinics, and 598 electronic health records were analyzed.

Results:

In …

A Survey Study Of Speech-Language Therapists’ Experiences With Teletherapy At The Onset Of The Covid-19 Crisis, Jason A. Rosas

Dissertations, Theses, and Capstone Projects

The present study aimed to understand how delivering pediatric treatment services via ‘teletherapy’ affected speech-language therapists (SLTs) during the initial outbreak of the COVID-19 pandemic crisis in 2020. SLTs reported on their experiences with the change from in-person to remote service delivery via two national surveys distributed at the start of the pandemic between April 2020 and July 2020. To explain SLTs’ survey responses, this dissertation introduced the Professional Adaptation Model (PA Model). The PA Model facilitated evaluation of the SLTs’ professional environment and the psychological constructs of their professional identity believed to influence the transition to speech-language teletherapy. Specifically, …

Preferences For Support Resources Among Loved Ones Of Adults Prescribed Opioid Medications, Mansi Patel, Desta M. Pulley, Daniel Manvich

Rowan-Virtua Research Day

The opioid epidemic continues to be a leading cause of overdose and related deaths in America. While most interventions are focused on the individuals with opioid and substance use disorder (OUD/SUD); the impact caregivers and family can have on the treatment of patients with OUD is non-existent. The purpose of this study is to collect pilot data on peers, friends, and family members of patients with SUD/OUD to understand the barriers in psychosocial support and maintaining treatment retention; barriers to accessing medication assisted therapy (MAT) and naloxone; and caregiver fatigue and barriers for caregivers. The collected data will be used …

The Feasibility And Utility Of Harnessing Digital Health To Understand Clinical Trajectories In Medication Treatment For Opioid Use Disorder: D-Tect Study Design And Methodological Considerations, Lisa A. Marsch, Ching-Hua Chen, Sara R. Adams, Asma Asyyed, Monique B. Does, Saeed Hassanpour, Emily Hichborn, Melanie Jackson-Morris, Nicholas C. Jacobson, Heather K. Jones, David Kotz, Chantal A. Lambert-Harris, Zhiguo Li, Bethany Mcleman, Varun Mishra, Catherine Stanger, Geetha Subramaniam, Weiyi Wu, Cynthia I. Campbell

Dartmouth Scholarship

Introduction: Across the U.S., the prevalence of opioid use disorder (OUD) and the rates of opioid overdoses have risen precipitously in recent years. Several effective medications for OUD (MOUD) exist and have been shown to be life-saving. A large volume of research has identified a confluence of factors that predict attrition and continued substance use during substance use disorder treatment. However, much of this literature has examined a small set of potential moderators or mediators of outcomes in MOUD treatment and may lead to over-simplified accounts of treatment non-adherence. Digital health methodologies offer great promise for capturing intensive, longitudinal ecologically-valid …

Identifying App-Based Meditation Habits And The Associated Mental Health Benefits: Longitudinal Observational Study, Chad Stecher, Vincent Berardi, Ryan Fowers, Jaclyn Christ, Yunro Chung, Jennifer Huberty

Psychology Faculty Articles and Research

Background: Behavioral habits are often initiated by contextual cues that occur at approximately the same time each day; so, it may be possible to identify a reflexive habit based on the temporal similarity of repeated daily behavior. Mobile health tools provide the detailed, longitudinal data necessary for constructing such an indicator of reflexive habits, which can improve our understanding of habit formation and help design more effective mobile health interventions for promoting healthier habits.

Objective: This study aims to use behavioral data from a commercial mindfulness meditation mobile phone app to construct an indicator of reflexive meditation habits …

Getting Change-Space: A Grounded Theory Study Of Automated Ehealth Therapy, Marianne T. S. Holter, Ottar Ness, Ayna Johansen, Håvar Brendryen

The Qualitative Report

A promising tool for bettering people’s health is eHealth (or “mHealth”) programs: fully automated, web-based health interventions. However, we know surprisingly little about eHealth’s working mechanisms. One possible working mechanism is that program users benefit from a collaborative “relationship”—a “working alliance”—with the program. Although evidence support the existence of a person-to-program alliance it is unclear if and how it influences change. Therefore, we conducted a grounded theory study of how relating to an eHealth program for quitting smoking influenced the participants’ change processes. The ensuing model focuses on how participants got change-space—feeling free from social forcing and able to work …

A Markov Approach For Increasing Precision In The Assessment Of Data-Intensive Behavioral Interventions, Vincent Berardi, Ricardo Carretero-González, John Belletierre, Marc A. Adams, Suzanne C. Hughes, Melbourne Hovell

Psychology Faculty Articles and Research

Health interventions using real-time sensing technology are characterized by intensive longitudinal data, which has the potential to enable nuanced evaluations of individuals’ responses to treatment. Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different intervention phases. This paper introduces an exploratory, Markov-based empirical transition method that offers a more comprehensive assessment of behavioral responses when intensive longitudinal data are available. The procedure projects a univariate time-series into discrete states and empirically determines the probability of transitioning from one …

Characterizing The Performance And Behaviors Of Runners Using Twitter, Qian He, Emmanuel Agu, Diane Strong, Bengisu Tulu, Peder Pedersen

Emmanuel O. Agu

Running is a popular physical activity that improves physical and mental wellbeing. Unfortunately, up-to- date information about runners’ performance and psychological wellbeing is limited. Many questions remain unanswered, such as how far and how fast runners typically run, their preferred running times and frequencies, how long new runners persist before dropping out, and what factors cause runners to quit. Without hard data, establishing patterns of runner behavior and mitigating the challenges they face are difficult. Collecting data manually from large numbers of runners for research studies is costly and time consuming. Emerging Social Networking Services (SNS) and fitness tracking devices …