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Dive into the research topics where Marya E. Corden is active.

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Featured researches published by Marya E. Corden.


Journal of Medical Internet Research | 2015

Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study

Sohrab Saeb; Mi Zhang; Christopher J. Karr; Stephen M. Schueller; Marya E. Corden; Konrad P. Körding; David C. Mohr

Background Depression is a common, burdensome, often recurring mental health disorder that frequently goes undetected and untreated. Mobile phones are ubiquitous and have an increasingly large complement of sensors that can potentially be useful in monitoring behavioral patterns that might be indicative of depressive symptoms. Objective The objective of this study was to explore the detection of daily-life behavioral markers using mobile phone global positioning systems (GPS) and usage sensors, and their use in identifying depressive symptom severity. Methods A total of 40 adult participants were recruited from the general community to carry a mobile phone with a sensor data acquisition app (Purple Robot) for 2 weeks. Of these participants, 28 had sufficient sensor data received to conduct analysis. At the beginning of the 2-week period, participants completed a self-reported depression survey (PHQ-9). Behavioral features were developed and extracted from GPS location and phone usage data. Results A number of features from GPS data were related to depressive symptom severity, including circadian movement (regularity in 24-hour rhythm; r=-.63, P=.005), normalized entropy (mobility between favorite locations; r=-.58, P=.012), and location variance (GPS mobility independent of location; r=-.58, P=.012). Phone usage features, usage duration, and usage frequency were also correlated (r=.54, P=.011, and r=.52, P=.015, respectively). Using the normalized entropy feature and a classifier that distinguished participants with depressive symptoms (PHQ-9 score ≥5) from those without (PHQ-9 score <5), we achieved an accuracy of 86.5%. Furthermore, a regression model that used the same feature to estimate the participants’ PHQ-9 scores obtained an average error of 23.5%. Conclusions Features extracted from mobile phone sensor data, including GPS and phone usage, provided behavioral markers that were strongly related to depressive symptom severity. While these findings must be replicated in a larger study among participants with confirmed clinical symptoms, they suggest that phone sensors offer numerous clinical opportunities, including continuous monitoring of at-risk populations with little patient burden and interventions that can provide just-in-time outreach.


Internet Interventions | 2016

Uptake and Usage of IntelliCare: A Publicly Available Suite of Mental Health and Well-Being Apps.

Emily G. Lattie; Stephen M. Schueller; Elizabeth Sargent; Colleen Stiles-Shields; Kathryn Noth Tomasino; Marya E. Corden; Mark Begale; Chris J Karr; David C. Mohr

Background Treatments for depression and anxiety have several behavioral and psychological targets and rely on varied strategies. Digital mental health treatments often employ feature-rich approaches addressing several targets and strategies. These treatments, often optimized for desktop computer use, are at odds with the ways people use smartphone applications. Smartphone use tends to focus on singular functions with easy navigation to desired tools. The IntelliCare suite of apps was developed to address the discrepancy between need for diverse behavioral strategies and constraints imposed by typical app use. Each app focuses on one strategy for a limited subset of clinical aims all pertinent to depression and anxiety. This study presents the uptake and usage of apps from the IntelliCare suite following an open deployment on a large app marketplace. Methods Thirteen lightweight apps, including 12 interactive apps and one Hub app that coordinates use across those interactive apps, were developed and made free to download on the Google Play store. De-identified app usage data from the first year of IntelliCare suite deployment were analyzed for this study. Results In the first year of public availability, 5210 individuals downloaded one or more of the IntelliCare apps, for a total of 10,131 downloads. Nearly a third of these individuals (31.8%) downloaded more than one of these apps. The modal number of launches for each of the apps was 1, however the mean number of app launches per app ranged from 3.10 to 16.98, reflecting considerable variability in the use of each app. Conclusions The use rate of the IntelliCare suite of apps is higher than public deployments of other comparable digital resources. Our findings suggest that people will use multiple apps and provides support for the concept of app suites as a useful strategy for providing diverse behavioral strategies.


Assessment | 2018

Patterns and Predictors of Compliance in a Prospective Diary Study of Substance Use and Sexual Behavior in a Sample of Young Men Who Have Sex With Men

Michael E. Newcomb; Gregory Swann; Ryne Estabrook; Marya E. Corden; Mark Begale; Alan W. Ashbeck; David C. Mohr; Brian Mustanski

Behavioral diaries are used for observing health-related behaviors prospectively. Little is known about patterns and predictors of diary compliance to better understand differential attrition. An analytic sample of 241 young men who have sex with men (YMSM) from a 2-month diary study of substance use and sexual behavior were randomized to complete daily or weekly timeline followback diaries. Latent class growth analyses were used to analyze data. Weekly and daily diary groups produced similar compliance patterns: high, low, and declining compliance groups. Black YMSM were more likely to be in the declining compared with the high compliance group. YMSM who were randomly assigned to receive automated feedback about risk behaviors did not differ in compliance rate compared with those who did not. Risk behavior engagement did not predict compliance in the daily condition, but some substances predicted compliance in the weekly condition. Implications for observational and behavior change methods are discussed.


Psychological Medicine | 2015

Predictors of outcome for telephone and face-to-face administered cognitive behavioral therapy for depression

Colleen Stiles-Shields; Marya E. Corden; Mary J. Kwasny; Stephen M. Schueller; David C. Mohr

BACKGROUND Cognitive behavioral therapy (CBT) can be delivered efficaciously through various modalities, including telephone (T-CBT) and face-to-face (FtF-CBT). The purpose of this study was to explore predictors of outcome in T-CBT and FtF-CBT for depression. METHOD A total of 325 depressed participants were randomized to receive eighteen 45-min sessions of T-CBT or FtF-CBT. Depression severity was measured using the Hamilton Depression Rating Scale (HAMD) and the Patient Health Questionnaire-9 (PHQ-9). Classification and regression tree (CART) analyses were conducted with baseline participant demographics and psychological characteristics predicting depression outcomes, HAMD and PHQ-9, at end of treatment (week 18). RESULTS The demographic and psychological characteristics accurately identified 85.3% and 85.0% of treatment responders and 85.7% and 85.0% of treatment non-responders on the HAMD and PHQ-9, respectively. The Coping self-efficacy (CSE) scale predicted outcome on both the HAMD and PHQ-9; those with moderate to high CSE were likely to respond with no other variable influencing that prediction. Among those with low CSE, depression severity influenced response. Social support, physical functioning, and employment emerged as predictors only for the HAMD, and sex predicted response on the PHQ-9. Treatment delivery method (i.e. telephone or face-to-face) did not impact the prediction of outcome. CONCLUSIONS Findings suggest that the predictors of improved depression are similar across treatment modalities. Most importantly, a moderate to high level of CSE significantly increases the chance of responding in both T-CBT and FtF-CBT. Among patients with low CSE, those with lower depressive symptom severity are more likely to do well in treatment.


Alzheimer's & Dementia: Translational Research & Clinical Interventions | 2016

Communication Bridge: A pilot feasibility study of Internet-based speech-language therapy for individuals with progressive aphasia

Emily Rogalski; Marie Saxon; Hannah McKenna; Christina Wieneke; Alfred Rademaker; Marya E. Corden; Kathryn Borio; M.-Marsel Mesulam; Becky Khayum

Individuals with aphasia symptoms due to neurodegenerative disease are under‐referred for speech–language therapy (SLT) services. We sought to determine the feasibility of utilizing telepractice, via Internet videoconferencing, to connect individuals with progressive aphasia to a speech–language pathologist (SLP) for treatment.


Journal of Medical Internet Research | 2018

Internet-Based Group Intervention for Ovarian Cancer Survivors: Feasibility and Preliminary Results

Ellen M. Kinner; Jessica S. Armer; Bonnie A. McGregor; Jennifer Duffecy; Susan Leighton; Marya E. Corden; Janine Gauthier Mullady; Frank J. Penedo; Susan K. Lutgendorf

Background Development of psychosocial group interventions for ovarian cancer survivors has been limited. Drawing from elements of cognitive-behavioral stress management (CBSM), mindfulness-based stress reduction (MBSR), and acceptance and commitment therapy (ACT), we developed and conducted preliminary testing of an Internet-based group intervention tailored specifically to meet the needs of ovarian cancer survivors. The Internet-based platform facilitated home delivery of the psychosocial intervention to a group of cancer survivors for whom attending face-to-face programs could be difficult given their physical limitations and the small number of ovarian cancer survivors at any one treatment site. Objective The aim of this study was to develop, optimize, and assess the usability, acceptability, feasibility, and preliminary intended effects of an Internet-based group stress management intervention for ovarian cancer survivors delivered via a tablet or laptop. Methods In total, 9 ovarian cancer survivors provided feedback during usability testing. Subsequently, 19 survivors participated in 5 waves of field testing of the 10-week group intervention led by 2 psychologists. The group met weekly for 2 hours via an Internet-based videoconference platform. Structured interviews and weekly evaluations were used to elicit feedback on the website and intervention content. Before and after the intervention, measures of mood, quality of life (QOL), perceived stress, sleep, and social support were administered. Paired t tests were used to examine changes in psychosocial measures over time. Results Usability results indicated that participants (n=9) performed basic tablet functions quickly with no errors and performed website functions easily with a low frequency of errors. In the field trial (n=19), across 5 groups, the 10-week intervention was well attended. Perceived stress (P=.03) and ovarian cancer-specific QOL (P=.01) both improved significantly during the course of the intervention. Trends toward decreased distress (P=.18) and greater physical (P=.05) and functional well-being (P=.06) were also observed. Qualitative interviews revealed that the most common obstacles participants experienced were technical issues and the time commitment for practicing the techniques taught in the program. Participants reported that the intervention helped them to overcome a sense of isolation and that they appreciated the ability to participate at home. Conclusions An Internet-based group intervention tailored specifically for ovarian cancer survivors is highly usable and acceptable with moderate levels of feasibility. Preliminary psychosocial outcomes indicate decreases in perceived stress and improvements in ovarian cancer-specific QOL following the intervention. A randomized clinical trial is needed to demonstrate the efficacy of this promising intervention for ovarian cancer survivors.


DIGITAL HEALTH | 2016

MedLink: A mobile intervention to improve medication adherence and processes of care for treatment of depression in general medicine:

Marya E. Corden; Ellen M Koucky; Christopher J. Brenner; Hannah L. Palac; Adisa Soren; Mark Begale; Bernice Ruo; Susan M. Kaiser; Jenna Duffecy; David C. Mohr

Background Major depressive disorder is a common psychological problem affecting up to 20% of adults in their lifetime. The majority of people treated for depression receive antidepressant medication through their primary care physician. This commonly results in low rates of recovery. Failure points in the process of care contributing to poor outcomes include patient non-adherence to medications, failure of physicians to optimize dose and absence of communication between patients and physicians. Objective This pilot study evaluated the feasibility of a systemic digital intervention (MedLink) designed to address failure points and improve treatment of depression in primary care among patients during the first eight weeks of initiating a new course of antidepressant therapy. Methods Participants were provided with the MedLink mobile app that provided dose reminders, information and surveys of symptoms and side effects. A cellularly enabled pillbox monitored antidepressant medication adherence. Reports were provided to physicians and participants to prompt changes in medication regimen. Study outcomes were assessed via self-report and interview measures at baseline, week 4 and week 8. Results Medication adherence detected by the MedLink system was 82%. Participants demonstrated significant decreases in depressive symptoms on the patient health questionnaire-9 (PHQ-9) (p = 0.0005) and the Quick Inventory of Depressive Symptomatology (p = 0.0008) over the eight-week trial. Usability was generally rated favorably. Conclusions The MedLink system demonstrated promise as an intervention to address failure points in the primary care treatment of major depressive disorder. Current findings support the further development of MedLink through a randomized controlled trial to evaluate the efficacy of improving processes of care, patient adherence and symptoms of depression.


Contemporary Clinical Trials | 2018

Study design and protocol for My Guide: An e-health intervention to improve patient-centered outcomes among Hispanic breast cancer survivors

Betina Yanez; Diana Buitrago; Joanna Buscemi; Francisco Iacobelli; Rachel F. Adler; Marya E. Corden; Alejandra Perez-Tamayo; Judy Guitelman; Frank J. Penedo

Breast cancer is the most commonly diagnosed non-skin cancer in women and the leading cause of death among Hispanic women living in the United States. Relative to non-Hispanic white women, Hispanic women report poorer health related quality of life (HRQoL) after treatment. Although eHealth interventions delivered via Smartphones are a viable approach to addressing supportive care accessibility issues while also integrating multidisciplinary approaches for improving HRQoL, few eHealth interventions have been developed that specifically target Hispanic breast cancer survivors (BCS). This manuscript describes the methodology of a multi-site, randomized controlled behavioral trial investigating the feasibility and preliminary efficacy of a Smartphone application aimed at improving HRQoL and cancer-specific distress among Hispanic BCS. Participants will be randomized to receive the intervention application, My Guide (psychoeducation & self-management program), or the health education control condition application, My Health (health education), for six weeks. All participants will also receive weekly telecoaching to enhance adherence to both control and intervention conditions. We will measure the studys primary outcomes, general and disease-specific HRQoL and cancer-specific distress, at three time points: prior to, immediately after the intervention, and eight weeks after initial application use. My Guide may have the potential to improve HRQoL, and to address issues of limited access to supportive care among Hispanic women recovering from breast cancer treatment.


Design for Health | 2018

Designing an mHealth application to bridge health disparities in Latina breast cancer survivors: a community-supported design approach

Francisco Iacobelli; Rachel F. Adler; Diana Buitrago; Joanna Buscemi; Marya E. Corden; Alejandra Perez-Tamayo; Frank J. Penedo; Melinda Rodriguez; Betina Yanez

ABSTRACT Latina breast cancer patients in the USA report significantly worse cancer-related symptom burden and health-related quality of life than non-Hispanic whites. However, health literacy (e.g. knowledge about cancer, coping skills and communication) has been found to improve quality of life. In this paper, we present a case study of the methodology used to design Mi Guía (My Guide), a mobile application that aims to improve symptom burden and health-related quality of life among Hispanic women who have completed active treatment for breast cancer by increasing their health literacy. We developed a community-supported approach to building the application, which involved: (1) eliciting feedback from community leaders such as support group organizers and facilitators who are bilingual in Spanish and English, prioritize patients’ preferences and best interests and have a unique knowledge of the women and their needs; (2) conducting a formal evaluation of design principles based on previous interaction design research and user responses; (3) incorporating feedback from potential future users. In this paper, we discuss our methodology, and the challenges and benefits of this approach. We believe that future studies that aim to develop mobile technologies for underserved populations may benefit from a community-supported approach to design.


Alzheimers & Dementia | 2015

Communication bridge: Initial observations from an internet-based speech therapy program for individuals with aphasic dementias

Emily Rogalski; Rebecca Khayum; Hannah McKenna; Christina Wieneke; Marya E. Corden; M.-Marsel Mesulam

ROC analysis we found an optimal cut-off score > 1 naming error or 7 correctly recalled picture names. The area under the curve was 0.76 for naming and 0.94 for recall. Conclusions: The novel and original test to name and recall pictures is a short, yet difficult assessment of several types of memory and language and may contribute to the diagnosis of even very early AD. Therefore it may be easily used in various clinical situations and applied in other countries due to visual nature. Supported by grant IGA NT 13183, PRVOUK 34/LF3 and NIMH ED2.1.00/03.0078.

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Mark Begale

Northwestern University

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Betina Yanez

Northwestern University

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Francisco Iacobelli

Northeastern Illinois University

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Rachel F. Adler

Northeastern Illinois University

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Alejandra Perez-Tamayo

University of Illinois at Urbana–Champaign

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