scholarly journals Implementation of a Mobile Health Strategy to Improve Linkage to and Engagement with HIV Care for People Living with HIV, Tuberculosis, and Substance Use in Irkutsk, Siberia

2021 ◽  
Author(s):  
Jacqueline Hodges ◽  
Svetlana Zhdanova ◽  
Olga Koshkina ◽  
Alexey Suzdalnitsky ◽  
Ava Lena Waldman ◽  
...  
Keyword(s):  
Substance Use ◽  
Mobile Health ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Health Strategy ◽  
Living With Hiv

scholarly journals Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study (Preprint)

2020 ◽  
Author(s):  
Jessica P Ridgway ◽  
Arno Uvin ◽  
Jessica Schmitt ◽  
Tomasz Oliwa ◽  
Ellen Almirol ◽  
...  
Keyword(s):  
Mental Illness ◽  
Substance Use ◽  
Natural Language Processing ◽  
Language Processing ◽  
Predictive Value ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Clinical Notes ◽  
Unstructured Text ◽  
Living With Hiv

BACKGROUND Mental illness and substance use are prevalent among people living with HIV and often lead to poor health outcomes. Electronic medical record (EMR) data are increasingly being utilized for HIV-related clinical research and care, but mental illness and substance use are often underdocumented in structured EMR fields. Natural language processing (NLP) of unstructured text of clinical notes in the EMR may more accurately identify mental illness and substance use among people living with HIV than structured EMR fields alone. OBJECTIVE The aim of this study was to utilize NLP of clinical notes to detect mental illness and substance use among people living with HIV and to determine how often these factors are documented in structured EMR fields. METHODS We collected both structured EMR data (diagnosis codes, social history, Problem List) as well as the unstructured text of clinical HIV care notes for adults living with HIV. We developed NLP algorithms to identify words and phrases associated with mental illness and substance use in the clinical notes. The algorithms were validated based on chart review. We compared numbers of patients with documentation of mental illness or substance use identified by structured EMR fields with those identified by the NLP algorithms. RESULTS The NLP algorithm for detecting mental illness had a positive predictive value (PPV) of 98% and a negative predictive value (NPV) of 98%. The NLP algorithm for detecting substance use had a PPV of 92% and an NPV of 98%. The NLP algorithm for mental illness identified 54.0% (420/778) of patients as having documentation of mental illness in the text of clinical notes. Among the patients with mental illness detected by NLP, 58.6% (246/420) had documentation of mental illness in at least one structured EMR field. Sixty-three patients had documentation of mental illness in structured EMR fields that was not detected by NLP of clinical notes. The NLP algorithm for substance use detected substance use in the text of clinical notes in 18.1% (141/778) of patients. Among patients with substance use detected by NLP, 73.8% (104/141) had documentation of substance use in at least one structured EMR field. Seventy-six patients had documentation of substance use in structured EMR fields that was not detected by NLP of clinical notes. CONCLUSIONS Among patients in an urban HIV care clinic, NLP of clinical notes identified high rates of mental illness and substance use that were often not documented in structured EMR fields. This finding has important implications for epidemiologic research and clinical care for people living with HIV.

scholarly journals Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study

10.2196/23456 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e23456
Author(s):  
Jessica P Ridgway ◽  
Arno Uvin ◽  
Jessica Schmitt ◽  
Tomasz Oliwa ◽  
Ellen Almirol ◽  
...  
Keyword(s):  
Mental Illness ◽  
Substance Use ◽  
Natural Language Processing ◽  
Language Processing ◽  
Predictive Value ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Clinical Notes ◽  
Unstructured Text ◽  
Living With Hiv

Background Mental illness and substance use are prevalent among people living with HIV and often lead to poor health outcomes. Electronic medical record (EMR) data are increasingly being utilized for HIV-related clinical research and care, but mental illness and substance use are often underdocumented in structured EMR fields. Natural language processing (NLP) of unstructured text of clinical notes in the EMR may more accurately identify mental illness and substance use among people living with HIV than structured EMR fields alone. Objective The aim of this study was to utilize NLP of clinical notes to detect mental illness and substance use among people living with HIV and to determine how often these factors are documented in structured EMR fields. Methods We collected both structured EMR data (diagnosis codes, social history, Problem List) as well as the unstructured text of clinical HIV care notes for adults living with HIV. We developed NLP algorithms to identify words and phrases associated with mental illness and substance use in the clinical notes. The algorithms were validated based on chart review. We compared numbers of patients with documentation of mental illness or substance use identified by structured EMR fields with those identified by the NLP algorithms. Results The NLP algorithm for detecting mental illness had a positive predictive value (PPV) of 98% and a negative predictive value (NPV) of 98%. The NLP algorithm for detecting substance use had a PPV of 92% and an NPV of 98%. The NLP algorithm for mental illness identified 54.0% (420/778) of patients as having documentation of mental illness in the text of clinical notes. Among the patients with mental illness detected by NLP, 58.6% (246/420) had documentation of mental illness in at least one structured EMR field. Sixty-three patients had documentation of mental illness in structured EMR fields that was not detected by NLP of clinical notes. The NLP algorithm for substance use detected substance use in the text of clinical notes in 18.1% (141/778) of patients. Among patients with substance use detected by NLP, 73.8% (104/141) had documentation of substance use in at least one structured EMR field. Seventy-six patients had documentation of substance use in structured EMR fields that was not detected by NLP of clinical notes. Conclusions Among patients in an urban HIV care clinic, NLP of clinical notes identified high rates of mental illness and substance use that were often not documented in structured EMR fields. This finding has important implications for epidemiologic research and clinical care for people living with HIV.

Substance Use and Motivational Interviewing

2019 ◽  
pp. 105-114 ◽  
Author(s):  
Liu yi Lin ◽  
Linda R. Frank ◽  
Antoine Douaihy
Keyword(s):  
Substance Use ◽  
Motivational Interviewing ◽  
Substance Use Disorder ◽  
Integrated Approach ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Co Morbidity ◽  
Important Health ◽  
Living With Hiv ◽  
The Impact

People living with HIV (PLWH) who use drugs and alcohol are particularly likely to experience gaps across the HIV care continuum. People with co-occurring HIV and a substance use disorder face significant challenges in treatment. Substance use is well-known to be linked to important health behaviors and outcomes including adherence to antiretroviral and treatment, immunosuppression, and sexual risk behaviors. This chapter provides a review of the impact of substance use in PLWH and the role of motivational interviewing as part of an integrated approach to care of PLWH with co-occurring substance use disorders. The chapter concludes with a case example to illustrate the role that motivational interviewing can play the care of PLWH with a co-morbidity of substance use disorder.

scholarly journals The Florida Mobile Health Adherence Project for People Living With HIV (FL-mAPP): Longitudinal Assessment of Feasibility, Acceptability, and Clinical Outcomes

10.2196/14557 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e14557 ◽  
Author(s):  
César Escobar-Viera ◽  
Zhi Zhou ◽  
Jamie P Morano ◽  
Robert Lucero ◽  
Spencer Lieb ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Mobile Health ◽  
Clinical Care ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Art Adherence ◽  
Care Providers ◽  
Cell Counts ◽  
Living With Hiv

Background For people living with HIV (PLWH), antiretroviral therapy (ART) adherence is crucial to attain better health outcomes. Although research has leveraged consumer health information technologies to enhance ART adherence, no study has evaluated feasibility and clinical outcomes associated with the usage of a commercially available, regularly updated mobile health (mHealth) app for improving ART adherence among PLWH. Objective This study aimed to assess the feasibility, acceptability, and clinical outcomes of Care4Today, an existing, free, biprogrammatic mHealth app for improving ART adherence among PLWH. Methods The Florida mHealth Application Adherence Project (FL-mAPP) was a 90-day longitudinal pilot study conducted in 3 public HIV clinics in Florida, United States. After obtaining informed consent, 132 participants completed a survey and then were given the option to try an existing mHealth app to help with ART adherence. Of these, 33.3% (44/132) declined, 31.1% (41/132) agreed but never used the app, and 35.6% (47/132) used the app. All were asked to complete follow-up surveys at 30 days and 90 days after enrollment. Usage data were used to assess feasibility. Clinical outcomes of self-reported ART adherence and chart-obtained HIV viral load and CD4+ T-cell counts were compared among those who used the platform (users) versus those who did not (nonusers). Participants and HIV care providers also provided responses to open-ended questions about what they liked and did not like about the app; comments were analyzed using thematic analysis. Results Of 132 participants, 47 (35.6%) and 85 (64.4%) were categorized as users and nonusers, respectively. Among users, a Kaplan-Meier plot showed that 25 persons (53%) continued using the app after the 90-day follow-up. At 30-day follow-up, 13 (81.3%) of those who used the mHealth app reported ≥95% ART adherence, compared with 17 (58.6%) nonusers (P=.12). Overall, 39 (82%) users liked or somewhat liked using the platform. Participants’ favorite features were medication reminders, ability to create custom reminders, and adherence reports. Conclusions This longitudinal study found that a commercially available medication adherence mHealth app was a feasible and acceptable intervention to improve ART adherence among PLWH and engaged in clinical care across 3 public HIV clinics in the state of Florida. Overall, participants liked the Care4Today app and thought the medication reminders were their favorite feature. Generally, self-reports of ART adherence were better among users than nonusers, both at 30- and 90-day follow-ups. Further clinical research needs to address user fatigue for improving app usage.

scholarly journals The Florida Mobile Health Adherence Project for People Living With HIV (FL-mAPP): Longitudinal Assessment of Feasibility, Acceptability, and Clinical Outcomes (Preprint)

2019 ◽  
Author(s):  
César Escobar-Viera ◽  
Zhi Zhou ◽  
Jamie P Morano ◽  
Robert Lucero ◽  
Spencer Lieb ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Mobile Health ◽  
Clinical Care ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Art Adherence ◽  
Care Providers ◽  
Cell Counts ◽  
Living With Hiv

BACKGROUND For people living with HIV (PLWH), antiretroviral therapy (ART) adherence is crucial to attain better health outcomes. Although research has leveraged consumer health information technologies to enhance ART adherence, no study has evaluated feasibility and clinical outcomes associated with the usage of a commercially available, regularly updated mobile health (mHealth) app for improving ART adherence among PLWH. OBJECTIVE This study aimed to assess the feasibility, acceptability, and clinical outcomes of Care4Today, an existing, free, biprogrammatic mHealth app for improving ART adherence among PLWH. METHODS The Florida mHealth Application Adherence Project (FL-mAPP) was a 90-day longitudinal pilot study conducted in 3 public HIV clinics in Florida, United States. After obtaining informed consent, 132 participants completed a survey and then were given the option to try an existing mHealth app to help with ART adherence. Of these, 33.3% (44/132) declined, 31.1% (41/132) agreed but never used the app, and 35.6% (47/132) used the app. All were asked to complete follow-up surveys at 30 days and 90 days after enrollment. Usage data were used to assess feasibility. Clinical outcomes of self-reported ART adherence and chart-obtained HIV viral load and CD4+ T-cell counts were compared among those who used the platform (users) versus those who did not (nonusers). Participants and HIV care providers also provided responses to open-ended questions about what they liked and did not like about the app; comments were analyzed using thematic analysis. RESULTS Of 132 participants, 47 (35.6%) and 85 (64.4%) were categorized as users and nonusers, respectively. Among users, a Kaplan-Meier plot showed that 25 persons (53%) continued using the app after the 90-day follow-up. At 30-day follow-up, 13 (81.3%) of those who used the mHealth app reported ≥95% ART adherence, compared with 17 (58.6%) nonusers (<italic>P</italic>=.12). Overall, 39 (82%) users liked or somewhat liked using the platform. Participants’ favorite features were medication reminders, ability to create custom reminders, and adherence reports. CONCLUSIONS This longitudinal study found that a commercially available medication adherence mHealth app was a feasible and acceptable intervention to improve ART adherence among PLWH and engaged in clinical care across 3 public HIV clinics in the state of Florida. Overall, participants liked the Care4Today app and thought the medication reminders were their favorite feature. Generally, self-reports of ART adherence were better among users than nonusers, both at 30- and 90-day follow-ups. Further clinical research needs to address user fatigue for improving app usage.

scholarly journals Attitudes, Beliefs, and Willingness Toward the Use of mHealth Tools for Medication Adherence in the Florida mHealth Adherence Project for People Living With HIV (FL-mAPP): Pilot Questionnaire Study (Preprint)

2018 ◽  
Author(s):  
Jamie P Morano ◽  
Kevin Clauson ◽  
Zhi Zhou ◽  
César G Escobar-Viera ◽  
Spencer Lieb ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Mobile Health ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Text Messages ◽  
School Level ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Art Adherence ◽  
Living With Hiv

BACKGROUND Antiretroviral (ART) adherence among people living with HIV (PLWH) continues to be a challenge despite advances in HIV prevention and treatment. Mobile health (mHealth) interventions are increasingly deployed as tools for ART adherence. However, little is known about the uptake and attitudes toward commercially available, biprogrammatic mobile apps (ie, designed for both smartphone and short message service [SMS] messaging) among demographically diverse PLWH. OBJECTIVES The Florida mHealth Adherence Project for PLWH (FL-mAPP) is an innovative pilot study that aimed to determine the acceptability of a commercially available, biprogrammatic mHealth intervention platform to ensure medication adherence and gauge the current attitudes of PLWH toward current and future mHealth apps. METHODS A predeveloped, commercially available, biprogrammatic mHealth platform (Care4Today Mobile Health Manager, Johnson & Johnson, New Brunswick, NJ) was deployed, with self-reported ART adherence recorded in the app and paper survey at both short term (30-day) or long-term (90-day) follow-ups. Consented participants completed baseline surveys on sociodemographics and attitudes, beliefs, and willingness toward the use of mHealth interventions for HIV care using a 5-point Likert scale. Chi-square tests and multivariate logistic regression analyses identified correlations with successful uptake of the mHealth platform. RESULTS Among 132 PLWH, 66% (n=87) initially agreed to use the mHealth platform, of which 54% (n=47) successfully connected to the platform. Of the 87 agreeing to use the mHealth platform, we found an approximate 2:1 ratio of persons agreeing to try the smartphone app (n=59) versus the SMS text messages (n=28). Factors correlating with mHealth uptake were above high school level education (adjusted odds ratio 2.65; P=.05), confidence that a clinical staff member would assist with mHealth app use (adjusted odds ratio 2.92, P=.048), belief that PLWH would use such an mHealth app (adjusted odds ratio 2.89; P=.02), and ownership of a smartphone in contrast to a “flip-phone” model (adjusted odds ratio 2.80; P=.05). Of the sample, 70.2% (n=92) reported daily interest in receiving medication adherence reminders via an app (80.4% users versus 64.7% nonusers), although not significantly different among the user groups (P=.06). In addition, 34.8% (n=16) of mHealth users reported a theoretical “daily” interest and 68.2% (n=58) of non-mHealth users reported no interest in using an mHealth app for potentially tracking alcohol or drug intake (P=.002). CONCLUSIONS This commercially available, biprogrammatic mHealth platform showed feasibility and efficacy for enhanced ART and medication adherence within public health clinics and successfully included older age groups. Successful use of the platform among demographically diverse PLWH is important for HIV implementation science and promising for uptake on a larger scale.

scholarly journals Gamification: An Innovative Way to Enhance Health Behaviors for people Living with HIV/AIDs Via Mobile Health Appliacations

2020 ◽  
Author(s):  
Chan Sreypouv
Keyword(s):  
Rhode Island ◽  
Mobile Health ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Digital Platforms ◽  
Ryan White ◽  
Mobile Health Applications ◽  
Living With Hiv ◽  
Health Applications ◽  
Hiv Aids

Mobile health applications are known as any wireless technology in medical care and have been considered as one of innovative ways to assist and engage patients in care. This project focused on mobile health applications that were designed specifically for HIV medication adherence and to serve People Living with HIV/AIDs (PLWHA) with their HIV care in Rhode Island (RI) Ryan White Part B program, a federal program that provide HIV care to PLWHA (HRSA,2019). RI-Ryan White program partnered with 360 Medlink, Inc. (a software development company) developed and delivered two advanced digital platforms called TAVIE-HIV (an application with no gamification) and TAVIE-RED (an application with gamification) to Ryan White’s clients in RI.

scholarly journals Gamification: An Innovative Way to Enhance Health Behaviors for people Living with HIV/AIDs Via Mobile Health Appliacations

2020 ◽  
Author(s):  
Chan Sreypouv
Keyword(s):  
Rhode Island ◽  
Mobile Health ◽  
Hiv Care ◽  
People Living With Hiv ◽  
Digital Platforms ◽  
Ryan White ◽  
Mobile Health Applications ◽  
Living With Hiv ◽  
Health Applications ◽  
Hiv Aids

Mobile health applications are known as any wireless technology in medical care and have been considered as one of innovative ways to assist and engage patients in care. This project focused on mobile health applications that were designed specifically for HIV medication adherence and to serve People Living with HIV/AIDs (PLWHA) with their HIV care in Rhode Island (RI) Ryan White Part B program, a federal program that provide HIV care to PLWHA (HRSA,2019). RI-Ryan White program partnered with 360 Medlink, Inc. (a software development company) developed and delivered two advanced digital platforms called TAVIE-HIV (an application with no gamification) and TAVIE-RED (an application with gamification) to Ryan White’s clients in RI.

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.

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