Interest in using mobile technology to help self-manage alcohol use among persons living with the human immunodeficiency virus: A Florida Cohort cross-sectional study

HIV patients’ perceptions of a potential multi-component mindfulness-based smoking cessation smartphone application intervention

Objectives

Cigarette smoking rates among people living with HIV (PLWH) in the US is triple that of the general population. PLWH smokers are a high-risk group for smoking-related health disparities and should be a prime focus for smoking cessation efforts. Our team has developed a novel evidence-based Mindfulness Training (MT) smoking cessation smartphone application (app), “Craving-to-Quit.” Using qualitative focus groups among PLWH smokers, this study aims to tailor and optimize the app’s content and design to PLWH’s unique psychosocial profile and needs.

Methods

We conducted 8 focus groups among PLWH smokers (n = 59; 47.5% females; ≥18 years) to gain insight into participants’ perceptions about the app, MT, and the feasibility and acceptability of adding two additional strategies (CM: Contingency Management; self-monitoring of anti-retroviral therapies intake [ART]) to further optimize the app. Participants were asked to practice MTs and watch videos from the app presented on a screen in the conference room to discuss their experience. Sessions were audio-taped, transcribed verbatim, and analyzed thematically using NVivo.

Results

Most participants were non-Hispanic black (67.8%), on a federal health insurance program (61.0%). Participants considered it easy to learn the app and thought that MT is helpful in reducing stress and motivating quit attempts and were supportive of adding CM and recommended providing $20-$50 weekly cash incentives to help in quitting. Participants felt that adding self-monitoring of ART is helpful but were concerned about confidentiality in case they lost their phone. Participants recommended making the app cost-free and adding information about smoking cessation medications and the negative effects of smoking among PLWH.

Conclusions

Findings will guide the development of a novel multi-component smoking cessation intervention app integrating MT, CM, and ART self-monitoring strategies. This intervention has the potential to address several barriers to quitting in PLWH. Further clinical research is needed to test this intervention.

Identifying data elements and key features of a mobile-based self-care application for patients with COVID-19 in Iran

Mobile Health applications have shown different usages in the COVID-19 pandemic, which consisted of empowering patient's awareness, promoting patient's self-care, and self-monitor behaviors. The purpose of this study is to identify key features and capabilities of a mobile-based application for self-care and self-management of people with COVID-19 disease. This study was a descriptive-analytical study that was conducted in two main phases in 2020. In the first phase, a literature review study was performed. In the second phase, using the information obtained from the review of similar articles, a questionnaire was designed to validate identified requirements. Based on the results of the first phase, 53 data elements and technical key features for mobile-based self-care application for people with COVID-19 were identified. According to the statistical population, 11 data elements for demographic requirements, 11 data elements for clinical requirements, 15 data elements for self-care specifications, and 16 features for the technical capability of this app were determined. Most of the items were selected by infectious and internal medicine specialists (94%). This study supports that the use of mobile-based applications can play an important role in the management of this disease. Software design and development could help manage and improve patients' health status.

Understanding Technology Fit Among People with HIV Based on Intersections of Race, Sex, and Sexual Behavior: An Equitable Approach to Analyzing Differences Across Multiple Social Identities

HIV disproportionately impacts individuals based on intersecting categories (e.g. gender, race/ethnicity, behavior), with groups most at-risk deemed priority populations. Using weighted effects coding to account for differential group sizes, this study used multilevel mixed logistic models to investigate differences in eHealth use and willingness to use eHealth for HIV-related information among priority populations. Compared to the sample average, Black men who had sex with women were less likely to use all technologies except cellphones with text-messaging and less likely to be willing to use computers and tablets. White and Hispanic men who had sex with men were more likely to use all technologies. No significant differences existed for use or willingness to use cellphones with text-messaging. Future research should consider approaches used here to account for equity and multiple intersecting social identities; practitioners may use these findings or similar local data to ensure fit between eHealth programs and priority populations.

Cumulative HIV Viremia Copy-Years and Hypertension in People Living with HIV

BACKGROUND

Evidence regarding the association between HIV viral load (VL) and hypertension is inconsistent. In this study, we investigated the relationship using viremia copy-years (VCY), a cumulative measure of HIV plasma viral burden.

METHODS

Data were analyzed for 686 PLWH in the Florida Cohort Study, who had at least five years of VL data before the baseline. VL data were extracted from Enhanced HIV/AIDS Reporting System (eHARS) and used to define peak VL (pVL), recent VL (rVL), and undetectable VL (uVL: rVL<50copies/mL). A five-year VCY (log10 copy × years/mL) before the baseline investigation, was calculated and divided into 5 groups (≤2.7, 2.8-3.7, 3.8-4.7, 4.8-5.7 and >5.7) for analysis. Hypertension was determined based on hypertension diagnosis from medical records. Multivariable logistic regression was used for association analysis.

RESULTS

Of the total sample, 277 (40.4%) participants were hypertensive. Compared to the participants with lowest VCY (≤2.7 log10 copy × years/mL), the odds ratios (OR) and 95% confidence interval [95% CI] for hypertension of the remaining four groups, in order, were 1.91 [1.11, 3.29], 1.91 [1.03, 3.53], 2.27 [1.29, 3.99], and 1.25 [0.65, 2.42], respectively, controlling for confounders. The association was independent of pVL, rVL, and uVL, each of which was not significantly associated with hypertension.

CONCLUSION

Persistent HIV infection is a risk factor for hypertension among PLWH. Information provided by VCY is more effective than single time-point VL measures in investigating HIV infection- hypertension relationship. The findings of this study support the significance of continuous viral suppression in hypertension prevention among PLWH.

Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement

BACKGROUND

Designing technologies that users will be interested in, start using, and keep using has long been a challenge. In the health domain, the question of technology acceptance is even more important, as the possible intrusiveness of technologies could lead to patients refusing to even try them. Developers and researchers must address this question not only in the design and evaluation of new health care technologies but also across the different stages of the user's journey. Although a range of definitions for these stages exists, many researchers conflate related terms, and the field would benefit from a coherent set of definitions and associated measurement approaches.

OBJECTIVE

This review aims to explore how technology acceptance is interpreted and measured in mobile health (mHealth) literature. We seek to compare the treatment of acceptance in mHealth research with existing definitions and models, identify potential gaps, and contribute to the clarification of the process of technology acceptance.

METHODS

We searched the PubMed database for publications indexed under the Medical Subject Headings terms "Patient Acceptance of Health Care" and "Mobile Applications." We included publications that (1) contained at least one of the terms "acceptability," "acceptance," "adoption," "accept," or "adopt"; and (2) defined the term. The final corpus included 68 relevant studies.

RESULTS

Several interpretations are associated with technology acceptance, few consistent with existing definitions. Although the literature has influenced the interpretation of the concept, usage is not homogeneous, and models are not adapted to populations with particular needs. The prevalence of measurement by custom surveys suggests a lack of standardized measurement tools.

CONCLUSIONS

Definitions from the literature were published separately, which may contribute to inconsistent usage. A definition framework would bring coherence to the reporting of results, facilitating the replication and comparison of studies. We propose the Technology Acceptance Lifecycle, consolidating existing definitions, articulating the different stages of technology acceptance, and providing an explicit terminology. Our findings illustrate the need for a common definition and measurement framework and the importance of viewing technology acceptance as a staged process, with adapted measurement methods for each stage.

The interaction between detectable plasma viral load and increased body mass index on hypertension among persons living with HIV

Increased body mass index (BMI) and HIV are each associated with hypertension. This study tested interactions between BMI and detectable plasma viral load (pVL) on hypertension among 659 persons living with HIV (PLWH). All participants were categorized into four subgroups based on BMI (<25 and ≥25 kg/m2) and pVL (<200 and ≥200 copies/ml). Multiplicative interaction was assessed using logistic regression; addictive interaction was assessed using three measures: Relative Excess Risk due to Interaction (RERI), Attributable Proportion (AP), and Synergy index (S). Compared to the participants with normal BMI and undetectable pVL, those who had increased BMI with an undetectable pVL had an elevated risk of hypertension with OR [95%CI] = 1.80 [1.02, 3.20]; the risk was further increased for those who had increased BMI with detectable pVL with OR [95%CI] = 3.54 [1.71, 7.31]. The multiplicative interaction was significant (p = 0.01). Results from additive interaction indicated RERI [95%CI] =1.89 [0.76, 4.79] and AP [95%CI] = 0.64 [0.32, 0. 95]. The interaction effects of increased BMI and detectable pVL on hypertension on both multiplicative and additive scales suggested that PLWH with increased BMI and detectable pVL should be intensively managed and monitored for hypertension prevention and treatment.

Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

BACKGROUND

The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools.

OBJECTIVE

This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults.

METHODS

We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF).

RESULTS

Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E).

CONCLUSIONS

Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps.

The Florida Cohort study: methodology, initial findings and lessons learned from a multisite cohort of people living with HIV in Florida

In 2013, Florida had the highest rate of new HIV infections and only 56% of persons living with HIV (PLWH) were virally suppressed. In response, we initiated a new HIV cohort in Florida to better understand issues affecting HIV health outcomes. This manuscript will describe the procedures of the Florida Cohort; summarize information regarding enrollment, follow-up, and findings to date; and discuss challenges and lessons learned during the establishment of a multisite cohort of PLWH. Florida Cohort participants were enrolled from eight clinics and community-based organizations geographically diverse counties across Florida. Data were obtained from participant questionnaires, medical records, and state surveillance data. From 2014-2018, 932 PLWH (44% ≥50 years, 64% male, 55% black, 20% Latinx) were enrolled. At baseline, 83% were retained in care and 75% were virally suppressed. Research findings to date have focused on outcomes such as the HIV care continuum, HIV-related comorbidities, alcohol and drug use, and mHealth interventions interest. Strengths included the diversity of the sample and the linkage of participant surveys with existing surveillance data. However, the study had several challenges during planning and follow-up. The lessons learned from this study can be helpful when initiating a new longitudinal cohort study.

Preliminary Efficacy of a Cognitive Behavioral Therapy Text Messaging Intervention Targeting Alcohol Use and Antiretroviral Therapy Adherence: A Randomized Clinical Trial

TRIAL REGISTRATION

This trial was registered with ClinicalTrials.gov, NCT02603471.

Age, Sex, Race, Ethnicity, Sexual Orientation: Intersectionality of Marginalized-Group Identities and Enacted HIV-Related Stigma Among People Living with HIV in Florida

HIV-related stigma is associated with many negative health outcomes among people living with HIV (PLHIV). The theory of intersectionality suggests that the interactions of social identities affect PLHIV's experiences of stigma. This study aims to identify individual and interactive marginalized-group identities correlated with enacted HIV-related stigma among PLHIV in Florida. The sample (n = 932) was majority male (66.6%), Black (58.5%), and non-Latino (80.2%) with 53% reporting experiences of HIV-related stigma. In multinomial regression models, the interaction between race and ethnicity was significant where non-White Latinos had higher odds of experiencing high levels of enacted stigma [AOR (CI) 7.71 (2.41, 24.73), p < 0.001] compared to white non-Latinos. Additionally, racial minorities were less likely to have experienced moderate or high levels of enacted stigma [AOR (CI) 0.47 (0.31, 0.72), p < 0.001; AOR (CI) 0.39 (0.22, 0.70), p = 0.002, respectively]. Moreover, women had higher odds of experiencing high levels of enacted stigma [AOR (CI) 2.04 (1.13, 3.67), p = 0.018]. The results suggest that intersectionality is important to consider in HIV-related stigma research and future interventions.

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

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.

Brief report: the association between recreational versus therapeutic marijuana use on hazardous alcohol consumption and alcohol-associated behavioral consequences among adults living with HIV in Florida

BACKGROUND

Though marijuana use has previously been associated with risky alcohol use, studies often do not delineate between the effect of recreational versus therapeutic marijuana use, particularly among people living with HIV (PLWH). In this study, we examined the association between recreational versus therapeutic marijuana use to manage HIV symptoms (i.e., improve appetite/gain weight, induce sleep, relieve nausea/vomiting, relieve pain, relieve anxiety/depression/stress) on hazardous alcohol consumption and associated behavioral consequences among PLWH.

METHODS

PLWH (N = 703) recruited from community health centers in Florida completed questionnaires assessing sociodemographics, marijuana use motives (i.e., recreational versus therapeutic), alcohol use, and alcohol-associated behavioral consequences. Hazardous alcohol use was defined as consuming 5 or more drinks on one occasion at least monthly or > 14 drinks per week for men, or 4 drinks on one occasion at least monthly or > 7 drinks per week for women over the past 12 months, while alcohol-associated behavioral consequences were assessed via the Short Inventory of Problems Revised (SIP-R). A one-way analysis of covariance (ANCOVA) assessed differences in average number of alcohol-associated behavioral consequences between recreational and therapeutic marijuana users, and non-users, while multivariate logistic regression analysis evaluated the association between reason for marijuana use and hazardous alcohol consumption.

RESULTS

There was a significant effect of marijuana use group on SIP-R score after controlling for covariates [F (2, 579) = 3.04, p = 0.048], with post hoc analysis demonstrated significantly fewer alcohol-associated behavioral consequences among therapeutic marijuana users (1.27) compared to recreational users (3.35; p = 0.042). Compared to non-users, therapeutic marijuana users demonstrated significantly lower odds of hazardous drinking (AOR = 0.42, 95% CI = 0.18-0.96, p = 0.041), while recreational marijuana users were 64% more likely to report hazardous drinking (AOR = 1.64, 95% CI = 1.08-2.50, p = 0.019).

CONCLUSIONS

Findings from this study add to the literature by demonstrating how differing marijuana use motives are associated with hazardous alcohol consumption among PLWH. Given our findings showing greater risk of hazardous alcohol consumption among recreational marijuana users and lower risk among therapeutic marijuana users, results from this study may help inform interventions to reduce harmful alcohol consumption and associated adverse consequences among PLWH.

Information and Communication Technologies Interest, Access, and Use: Cross-Sectional Survey of a Community Sample of Urban, Predominantly Black Women

Background

Information and communication technologies (ICT) offer the potential for delivering health care interventions to low socioeconomic populations who often face barriers in accessing health care. However, most studies on ICT for health education and interventions have been conducted in clinical settings.

Objective

The aim of this study was to examine access to and use of mobile phones and computers, as well as interest in, using ICT for receipt of behavioral health information among a community sample of urban, predominately black, women with low socioeconomic status.

Methods

Participants (N=220) were recruited from hair salons and social service centers and completed audio-computer assisted self-interviews.

Results

The majority of the participants (212/220, 96.3%) reported use of a cell phone at least weekly, of which 89.1% (189/212) used smartphones and 62.3% (137/220) reported computer use at least weekly. Of the women included in the study, 51.9% (107/206) reported using a cell phone and 39.4% (74/188) reported using a computer to access health and/or safety information at least weekly. Approximately half of the women expressed an interest in receiving information about stress management (51%-56%) or alcohol and health (45%-46%) via ICT. Smartphone ownership was associated with younger age (odds ratio [OR] 0.92, 95% CI 0.87-0.97) and employment (OR 5.12, 95% CI 1.05-24.95). Accessing health and safety information weekly by phone was associated with younger age (OR 0.96, 95% CI 0.94-0.99) and inversely associated with higher income (OR 0.42, 95% CI 0.20-0.92).

Conclusions

Our findings suggest that ICT use, particularly smartphone use, is pervasive among predominantly black women with low socioeconomic status in urban, nonclinical settings. These results show that ICT is a promising modality for delivering health information to this population. Further exploration of the acceptability, feasibility, and effectiveness of using ICT to disseminate behavioral health education and intervention is warranted.