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Featured researches published by Hwayoung Cho.


International Journal of Medical Informatics | 2017

Predictors of willingness to use a smartphone for research in underserved persons living with HIV

Rebecca Schnall; Hwayoung Cho; Allison R. Webel

OBJECTIVES The burden of HIV/AIDS is borne disproportionally by a growing number of racial and ethnic minorities and socioeconomically disadvantaged individuals. Developing mHealth interventions for the everyday self-management needs of persons living with HIV (PLWH) can be challenging given the current constraints of the U.S. healthcare system, especially for those from underserved communities. In order to develop effective, evidence-based mHealth self-management interventions, we need a better understanding of the factors associated with mHealth research. The purpose of this study was to assess factors associated with PLWHs for participation in research using smartphones. METHODS We conducted a prospective cohort study (parent study) to examine the relationships among HIV self-management, age, gender and mental wellness. Relevant to this study, we analyzed the relationship between self-reported use of smartphones, willingness to use a smartphone for research, and other predictor variables including: HIV stigma, social isolation, social integration functions, and depression. We selected these variables because previous work indicated they may influence smartphone or mHealth use and because they also tend to be elevated in PLWH. RESULTS We found increased age, HIV stigma and social isolation were negatively associated with smartphone use, which supports the use of smartphones for conducting research with PLWH but also suggests that age, stigma, social integration functions and social isolation need to be considered in research involving PLWH. CONCLUSIONS Findings here support smartphone use in research involving PLWH. However, future mHealth interventions targeting PLWH should take into account the inverse relationship between smartphone use and age, HIV stigma, and social isolation, and other predictor variables.


Applied Clinical Informatics | 2017

Technology-Mediated Interventions and Quality of Life for Persons Living with HIV/AIDS

Hwayoung Cho; Sarah Iribarren; Rebecca Schnall

BACKGROUND As HIV/AIDS is considered a chronic disease; quality of life (QoL) has become an important focus for researchers and healthcare providers. Technology-mediated interventions have demonstrated improved clinical effectiveness in outcomes, such as viral suppression, for persons living with HIV/AIDS (PLWH). However, the evidence to support the impact of these interventions on QoL is lacking. OBJECTIVES The aim of this paper was to assess the impact of technology-mediated interventions on QoL and to identify the instruments used to measure the QoL of PLWH. METHODS For this review we followed the PRISMA guidelines. A literature search was conducted in PubMed, CINAHL, Cochrane, and EMBASE databases in April 2016. Inclusion criteria limited articles to those with technology-mediated interventions as compared to usual care; articles with the population defined as HIV-infected patients; and articles with QoL measured as a health outcome in randomized controlled trials. The Cochrane Collaboration Risk of Bias Tool was used to assess study quality. RESULTS Of the 1,554 peer-reviewed articles returned in the searches, 10 met the inclusion criteria. This systematic review identified four types of technology-mediated interventions and two types of QoL instruments used to examine the impact of technology-mediated interventions on PLWH. Four studies of technology-mediated interventions resulted in improvement in QoL. Four studies considered QoL as a secondary outcome and resulted in a negative or neutral impact on QoL. Overall, four studies had a low risk of bias, one study had a moderate risk of bias, and the other five studies had a high risk of bias. CONCLUSIONS The evidence to support the improvement of QoL using technology-mediated interventions is insufficient. This lack of research highlights the need for increased study of QoL as an outcome measure and the need for consistent measures to better understand the role of technology-mediated interventions in improving QoL for PLWH.


Journal of Biomedical Informatics | 2018

A multi-level usability evaluation of mobile health applications: A case study

Hwayoung Cho; Po-Yin Yen; Dawn Dowding; Jacqueline Merrill; Rebecca Schnall

OBJECTIVE To report a methodological approach for the development of a usable mHealth application (app). MATERIALS AND METHODS This work was guided by a 3-level stratified view of health information technology (IT) usability evaluation framework. We first describe a number of methodologies for operationalizing each level of the framework. Following the description of each methodology, we present a case study which illustrates the use of our preferred methodologies for the development of a mHealth app. At level 1 (user-task), we applied a card sorting technique to guide the information architecture of a mobile HIV symptom self-management app, entitled mVIP. At level 2 (user-task-system), we conducted a usability evaluation of mVIP in a laboratory setting through end-user usability testing and heuristic evaluation with informatics experts. At level 3 (user-task-system-environment), usability of mVIP was evaluated in a real-world setting following the use of the app during a 3-month trial. RESULTS The 3-level usability evaluation guided our work exploring in-depth interactions between the user, task, system, and environment. Integral to the findings from the 3-level usability evaluation, we iteratively refined the apps content, functionality, and interface to meet the needs of our intended end-users. DISCUSSION AND CONCLUSION The stratified view of the health IT usability evaluation framework is a useful methodological approach for the design, development, and evaluation of mHealth apps. The methodological recommendations for using the theoretical framework can inform future usability studies of mHealth apps.


Jmir mhealth and uhealth | 2018

A Mobile Health Intervention for HIV Prevention Among Racially and Ethnically Diverse Young Men: Usability Evaluation

Hwayoung Cho; Dakota Powell; Adrienne Pichon; Jennie Thai; Josh Bruce; Lisa M. Kuhns; Robert Garofalo; Rebecca Schnall

Background Mobile health (mHealth) apps have the potential to be a useful mode of delivering HIV prevention information, particularly for young men (13-24 years) who account for 21% of new HIV diagnoses in the United States. We translated an existing evidence-based, face-to-face HIV prevention curriculum into a portable platform and developed a mobile Web app: MyPEEPS Mobile. Objective The purpose of this study was to assess the usability of MyPEEPS Mobile from both expert and end user perspectives. Methods We conducted a heuristic evaluation with five experts in informatics to identify violations of usability principles and end user usability testing with 20 young men aged 15 to 18 years in New York, NY, Birmingham, AL, and Chicago, IL to identify potential obstacles to their use of the app. Results Mean scores of the overall severity of the identified heuristic violations rated by experts ranged from 0.4 and 2.6 (0=no usability problem to 4=usability catastrophe). Overall, our end users successfully completed the tasks associated with use case scenarios and provided comments/recommendations on improving usability of MyPEEPS Mobile. The mean of the overall Post-Study System Usability Questionnaire scores rated by the end users was 1.63 (SD 0.65), reflecting strong user acceptance of the app. Conclusions The comments made by experts and end users will be used to refine MyPEEPS Mobile prior to a pilot study assessing the acceptability of the app across diverse sexual minority young men in their everyday lives.


American Journal of Hospice and Palliative Medicine | 2018

Examining Interventions Designed to Support Shared Decision Making and Subsequent Patient Outcomes in Palliative Care: A Systematic Review of the Literature

Dawon Baik; Hwayoung Cho; Ruth Masterson Creber

Background: Shared decision making (SDM) is a key attribute of patient-centered care, which empowers palliative care patients to be able to make optimal medical decisions about end-of-life treatments based on their own values and preferences. Aim: The aim of this systematic literature review is to detail and compare interventions supporting SDM over the last 10 years (January 2008 to December 2017) and to analyze patient/caregiver outcomes at the end of life. Methods: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed, CINAHL, Embase, and Cochrane Library were searched with key search terms: SDM, decision aid, decision support, palliative care, and hospice care. The Mixed Methods Appraisal Tool was used to assess the quality of the included studies. Results: The initial search yielded 2705 articles, and 12 studies were included in the final review. The quality of the studies was modest and technology-enabled delivery modes (e.g., video, DVD, web-based tool) were most commonly used. Patient/caregiver knowledge of end-of-life care was the most common primary outcome across studies. The strength of the association between the SDM interventions and patient/caregiver outcomes varied. Conclusion: The findings from the studies that examined the effects of the SDM intervention on patient outcomes were inconsistent, highlighting the need for further SDM intervention studies among diverse patient populations using consistent measures. Given the availability of health technologies, future studies should focus on developing individual-tailored, technology-enabled interventions to support patient-centered medical decision making.


Aids and Behavior | 2018

Mobile Health Technology for Improving Symptom Management in Low Income Persons Living with HIV

Rebecca Schnall; Hwayoung Cho; Alexander Mangone; Adrienne Pichon; Haomiao Jia


AMIA | 2017

Usability Evaluation of a Prototype mHealth App for Symptom Self-Management in Underserved Persons Living with HIV.

Hwayoung Cho; Hestia Rojas; Casey Fulmer; Rebecca Schnall


AMIA | 2016

Card Sorting of Symptom Self-Management Strategies to Inform the Development of a mHealth App in underserved Persons Living with HIV.

Hwayoung Cho; Lena M. Milian; Rebecca Schnall


Nursing Informatics | 2018

Usability Testing of a mHealth App to Support Self-Management of HIV-Associated Non-AIDS Related Symptoms.

Samantha Stonbraker; Hwayoung Cho; Gabriella Hermosi; Adrienne Pichon; Rebecca Schnall


Journal of the Association of Nurses in AIDS Care | 2018

Supervised Physical Activity and Improved Functional Capacity among Adults Living with HIV: A Systematic Review

Natalie Voigt; Hwayoung Cho; Rebecca Schnall

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Allison R. Webel

Case Western Reserve University

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Jennie Thai

Children's Memorial Hospital

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