scholarly journals Using Mobile Health Technology to Improve HIV Care for Persons Living with HIV and Substance Abuse

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Gregory D. Kirk ◽  
Seth S. Himelhoch ◽  
Ryan P. Westergaard ◽  
Curt G. Beckwith
Keyword(s):  
Substance Abuse ◽  
Mobile Health ◽  
Health Technology ◽  
Hiv Care ◽  
Mobile Health Technology ◽  
Persons Living With Hiv ◽  
Living With Hiv

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

2018 ◽  
Vol 22 (10) ◽  
pp. 3373-3383 ◽  
Author(s):  
Rebecca Schnall ◽  
Hwayoung Cho ◽  
Alexander Mangone ◽  
Adrienne Pichon ◽  
Haomiao Jia
Keyword(s):  
Mobile Health ◽  
Low Income ◽  
Symptom Management ◽  
Health Technology ◽  
Mobile Health Technology ◽  
Persons Living With Hiv ◽  
Living With Hiv

Comparison of Clinical Outcomes of Persons Living With HIV by Enrollment Status in Washington, DC: Evaluation of a Large Longitudinal HIV Cohort Study (Preprint)

2019 ◽  
Author(s):  
Jenevieve Opoku ◽  
Rupali K Doshi ◽  
Amanda D Castel ◽  
Ian Sorensen ◽  
Michael Horberg ◽  
...  
Keyword(s):  
Cohort Study ◽  
Health Outcomes ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Hiv Care ◽  
Disease Stage ◽  
People Living With Hiv ◽  
Hiv Disease ◽  
Persons Living With Hiv ◽  
Living With Hiv

BACKGROUND HIV cohort studies have been used to assess health outcomes and inform the care and treatment of people living with HIV disease. However, there may be similarities and differences between cohort participants and the general population from which they are drawn. OBJECTIVE The objective of this analysis was to compare people living with HIV who have and have not been enrolled in the DC Cohort study and assess whether participants are a representative citywide sample of people living with HIV in the District of Columbia (DC). METHODS Data from the DC Health (DCDOH) HIV surveillance system and the DC Cohort study were matched to identify people living with HIV who were DC residents and had consented for the study by the end of 2016. Analysis was performed to identify differences between DC Cohort and noncohort participants by demographics and comorbid conditions. HIV disease stage, receipt of care, and viral suppression were evaluated. Adjusted logistic regression assessed correlates of health outcomes between the two groups. RESULTS There were 12,964 known people living with HIV in DC at the end of 2016, of which 40.1% were DC Cohort participants. Compared with nonparticipants, participants were less likely to be male (68.0% vs 74.9%, <i>P</i>&lt;.001) but more likely to be black (82.3% vs 69.5%, <i>P</i>&lt;.001) and have a heterosexual contact HIV transmission risk (30.3% vs 25.9%, <i>P</i>&lt;.001). DC Cohort participants were also more likely to have ever been diagnosed with stage 3 HIV disease (59.6% vs 47.0%, <i>P</i>&lt;.001), have a CD4 &lt;200 cells/µL in 2017 (6.2% vs 4.6%, <i>P</i>&lt;.001), be retained in any HIV care in 2017 (72.9% vs 59.4%, <i>P</i>&lt;.001), and be virally suppressed in 2017. After adjusting for demographics, DC Cohort participants were significantly more likely to have received care in 2017 (adjusted odds ratio 1.8, 95% CI 1.70-2.00) and to have ever been virally suppressed (adjusted odds ratio 1.3, 95% CI 1.20-1.40). CONCLUSIONS These data have important implications when assessing the representativeness of patients enrolled in clinic-based cohorts compared with the DC-area general HIV population. As participants continue to enroll in the DC Cohort study, ongoing assessment of representativeness will be required.

The neuroethical future of wearable and mobile health technology

2017 ◽  
Author(s):  
Karola V. Kreitmair ◽  
Mildred K. Cho
Keyword(s):  
Mobile Health ◽  
Ethical Issues ◽  
Health Technology ◽  
The Self ◽  
Ethical Challenges ◽  
Mobile Health Technology ◽  
Healthcare Settings ◽  
Healthcare It ◽  
Mobile Mental Health ◽  
Privacy And Confidentiality

Wearable and mobile health technology is becoming increasingly pervasive, both in professional healthcare settings and with individual consumers. This chapter delineates the various functionalities of this technology and identifies its different purposes. It then addresses the ethical challenges that this pervasiveness poses in the areas of accuracy and reliability of the technology, privacy and confidentiality of data, consent, and the democratization of healthcare. It also looks at mobile mental health apps as a case study to elucidate the discussion of ethical issues. Finally, the chapter turns to the question of how this technology and the associated “quantification of the self” affect traditional modes of epistemic access to and phenomenological conceptions of the self.

scholarly journals The Development of a Personalized Symptom Management Mobile Health Application for Persons Living with HIV in China

2021 ◽  
Vol 11 (5) ◽  
pp. 346
Author(s):  
Shuyu Han ◽  
Yaolin Pei ◽  
Lina Wang ◽  
Yan Hu ◽  
Xiang Qi ◽  
...  
Keyword(s):  
Mobile Health ◽  
Symptom Management ◽  
Medical Staff ◽  
Quantitative Data ◽  
Research Team ◽  
Management Strategies ◽  
Sufficient Evidence ◽  
Relaxation Techniques ◽  
Persons Living With Hiv ◽  
Living With Hiv

Persons living with HIV (PLWH) continuously experience symptom burdens. Their symptom prevalence and severity are also quite different. Mobile health (mHealth) applications (apps) offer exceptional opportunities for using personalized interventions when and where PLWH are needed. This study aimed to demonstrate the development process of the symptom management (SM) app and the structure and content of it. Our research team systematically searched for evidence-based resources and summarized up-to-date evidence for symptom management and health education. Our multidisciplinary research team that included physicians, nurses, software engineers, and nursing professors, evaluated the structure and content of the drafted app. Both quantitative data and qualitative results were collected at a group discussion meeting. Quantitative data were scores of sufficient evidence, situational suitability, practicability, cost-effectiveness, and understandability (ranged from one to four) for 119 items of the app contents, including the health tracking module, the self-assessment module, coping strategies for 18 symptoms (80 items), medication management, complementary therapy, diet management, exercise, relaxation techniques, and the obtaining support module. The SM app was comprised of eight modules and provided several personalized symptom management functions, including assessing symptoms and receiving different symptom management strategies, tracking health indicators, and communicating with medical staff. The SM app was a promising and flexible tool for HIV symptom management. It provided PLWH with personalized symptom management strategies and facilitated the case management for medical staff. Future studies are needed to further test the app’s usability among PLWH users and its effects on symptom management.

Perceptions of Mobile Health Technology in Elective Surgery

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nikhil Panda ◽  
Robert Sinyard ◽  
Judy Margo ◽  
Natalie Henrich ◽  
Christy E. Cauley ◽  
...  
Keyword(s):  
Mobile Health ◽  
Elective Surgery ◽  
Health Technology ◽  
Mobile Health Technology
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