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

Technology-Based Interventions for Substance Use Treatment Among People Who Identify as African American or Black, Hispanic or Latino, and American Indian or Alaska Native: Scoping Review

BACKGROUND

In the United States, racial and ethnic disparities in substance use treatment outcomes are persistent, especially among underrepresented minority (URM) populations. Technology-based interventions (TBIs) for substance use treatment show promise in reducing barriers to evidence-based treatment, yet no studies have described how TBIs may impact racial or ethnic health equity.

OBJECTIVE

This study explored whether TBIs in substance use treatment research promote health equity among people who identify as African American or Black, Hispanic or Latino, and American Indian or Alaska Native through their inclusion in research. We explored whether research that includes the aforementioned groups consciously considers race and/or ethnicity beyond including these populations as participants.

METHODS

We conducted a scoping review of 5 electronic databases to identify TBIs in substance use treatment studies published in English between January 2000 and March 2021. Studies were included if ≥50% of participants identified as African American or Black, Hispanic or Latino, or American Indian or Alaska Native when combined. Included studies were evaluated for conscious consideration of race and ethnicity in at least one manuscript section. Finally, we conducted a critical appraisal of each study's potential to facilitate insights into the impact of a TBI for members of specific URM groups.

RESULTS

Of 6897 titles and abstracts screened and 1158 full-text articles assessed for eligibility, nearly half (532/1158, 45.9%) of the full-text articles were excluded due to the absence of data on race, ethnicity, or not meeting the aforementioned demographic eligibility criteria. Overall, 110 studies met the inclusion criteria. Study designs included 39.1% (43/110) randomized trials, and 35.5% (39/110) feasibility studies. In total, 47.3% (52/110) of studies used computer-based interventions, including electronic screening, brief interventions, and referrals to treatment, whereas 33.6% (37/110) used interactive voice response, ecological momentary assessment or interventions, or SMS text messaging via mobile phones. Studies focused on the following substances: alcohol or drugs (45/110, 40.9%), alcohol alone (26/110, 23.6%), opioids (8/110, 7.3%), cannabis (6/110, 5.5%), cocaine (4/110, 3.6%), and methamphetamines (3/110, 2.7%). Of the studies that consciously considered race or ethnicity (29/110, 26.4%), 6.4% (7/110) explicitly considered race or ethnicity in all manuscript sections. Overall, 28.2% (31/110) of the studies were critically appraised as having a high confidence in the interpretability of the findings for specific URM groups.

CONCLUSIONS

While the prevalence of TBIs in substance use treatment has increased recently, studies that include and consciously consider URM groups are rare, especially for American Indian or Alaska Native and Hispanic or Latino groups. This review highlights the limited research on TBIs in substance use treatment that promotes racial and ethnic health equity and provides context, insights, and direction for researchers working to develop and evaluate digital technology substance use interventions while promoting health equity.

Prevention of adverse HIV treatment outcomes: machine learning to enable proactive support of people at risk of HIV care disengagement in Tanzania

OBJECTIVES

This study aimed to develop a machine learning (ML) model to predict disengagement from HIV care, high viral load or death among people living with HIV (PLHIV) with the goal of enabling proactive support interventions in Tanzania. The algorithm addressed common challenges when applying ML to electronic medical record (EMR) data: (1) imbalanced outcome distribution; (2) heterogeneity across multisite EMR data and (3) evolving virological suppression thresholds.

DESIGN

Observational study using a national EMR database.

SETTING

Conducted in two regions in Tanzania, using data from the National HIV Care database.

PARTICIPANTS

The study included over 6 million HIV care visit records from 295 961 PLHIV in two regions in Tanzania's National HIV Care database from January 2015 to May 2023.

RESULTS

Our ML model effectively identified PLHIV at increased risk of adverse outcomes. Key predictors included past disengagement from care, antiretroviral therapy (ART) status (which tracks a patient's engagement with ART across visits), age and time on ART. The downsampling approach we implemented effectively managed imbalanced data to reduce prediction bias. Site-specific algorithms performed better compared with a universal approach, highlighting the importance of tailoring ML models to local contexts. A sensitivity analysis confirmed the model's robustness to changes in viral load suppression thresholds.

CONCLUSIONS

ML models leveraging large-scale databases of patient data offer significant potential to identify PLHIV for interventions to enhance engagement in HIV care in resource-limited settings. Tailoring algorithms to local contexts and flexibility towards evolving clinical guidelines are essential for maximising their impact.

Does telehealth affect the adherence to ART among patients with HIV? A systematic review and meta-analysis

BACKGROUND

Several studies have shown different effects of telehealth interventions on adherence to Antiretroviral therapy (ART) among people living with HIV. This study conducted a meta-analysis of Randomized Controlled Trials (RCTs) to estimate the pooled effect of telehealth interventions on the treatment adherence of HIV patients.

METHODS

The researchers conducted literature searches in Scopus, PubMed, Web of Science, Google Scholar, and Cochrane Central Register of Controlled Trials databases. In addition, open grey was systematically searched until January 2022 for RCTs around the effects of telehealth on adherence to treatment ART among patients with HIV. Each study's methodological quality was assessed using the Cochrane Collaboration tool. Pooled Standard Mean Differences (SMD) and Risk Ratio (RR) with 95% CI were calculated using the random effects model.

RESULTS

In total, 12 eligible articles were considered in the present systematic review. A random-effects meta-analysis using 5 RCTs yielded the pooled RR estimate of 1.18 (95% CI: 1.03 to 1.35, p < 0.05); I2 = 0, suggesting the adherence to treatment among patients with HIV who received telehealth intervention was significantly 18% upper than control groups. Moreover, the random effects analysis of SMD showed a positive effect for telehealth with SMR = 0.36 (95% CI: 0.22 to 0.49, p < 0.05); I2 = 91.9%, indicating that telehealth intervention increased ART adherence to the treatment group compared to the control group.

CONCLUSION

Telehealth intervention as a new modality of health care service delivery could be a valuable strategy to improve ART adherence among patients with HIV. It can strengthen the capacity of HIV care services. On a large scale, telehealth can be utilized as a supplementary component for ART delivery and retention toward successful adherence to the therapy.

Text Messages for Depression, Anxiety and Alcohol Abuse Therapy-Are Construction Guidelines Needed?

Despite the effectiveness of text messaging therapy in improving mental health conditions, limited attention has been paid to how the text messages are constructed. Thus, this study questions whether there is a need to develop a model of text message construction for mental health therapy. In this backdrop, this study reviews how a text message for mental health therapy is constructed, specifically focused on the process and guidelines. This study also aims to identify the research gap regarding the guideline of text message construction for mental health therapy and to identify mental health professionals' practices in text messaging therapy. In addition, the opinions of mental health professionals on the need to develop a text message construction guideline were also gathered. The findings from the literature review confirmed that there are still limited guidelines explaining the process of constructing text messages for mental health therapy. Meanwhile, results from the online survey found that mental health professionals expressed a high need to explore and develop a model of text message construction for mental health therapy. With this research gap addressed, this study proposes further research into the development of a text message construction model for mental health therapy.

Feasibility, Acceptability, and Preliminary Outcomes of an Integrated Telemedicine Intervention Combining Naltrexone and Cognitive Behavioral Therapy for Alcohol Use Disorder

BACKGROUND

A small fraction of individuals in need of treatment for alcohol use disorders (AUDs) seek care, owing largely to barriers to accessing treatment. In the present pilot study, we examine the feasibility, acceptability, and preliminary outcomes of an m-health intervention combining cognitive behavioral therapy and pharmacotherapy for individuals with AUD.

METHODS

Adults with AUD (N = 26) recruited through online, social media-based advertising were enrolled in a 12-week, integrated telemedicine intervention combining psychosocial treatment with medical management: Quit Genius for AUD (QG-A). Feasibility, acceptability, perceived helpfulness, treatment engagement, retention, completion, and clinical outcomes including alcohol use and secondary mental health outcomes were assessed.

RESULTS

Participants found the QG-A intervention to be acceptable and helpful in facilitating action toward their therapeutic goals concerning alcohol use. Treatment completion, achieved by the majority (85%) of participants, was excellent. On average, participants reduced their past 30-day alcohol use from baseline (mean proportion of days of abstinent = 0.13) to follow-up (M = 0.59), t(19) = -4.97, p < 0.001, and consumed fewer drinks per drinking day from baseline (M = 6.7) to follow-up (M = 2.0), t(19) = 3.61, p < 0.001. Concurrently, reductions were observed in depressive (t[22] = 5.39, p < 0.001) and anxiety (t[22] = 2.87, p < 0.01) symptom severity, from the moderately severe range at baseline to the mild range at treatment-end, with increases in resilience (t[22] = -3.54, p < 0.001).

CONCLUSIONS

Addressing AUDs using an integrated m-health intervention to deliver evidence-based psychosocial and pharmacological treatment is feasible and may produce improvements in both alcohol use and psychiatric symptoms.

The Role of Alcohol-Related Behavioral Research in the Design of HIV Secondary Prevention Interventions in the Era of Antiretroviral Therapy: Targeted Research Priorities Moving Forward

HIV secondary prevention focuses on averting onward HIV transmission, which can be realized when people living with HIV enact requisite HIV care continuum-related behaviors to achieve viral suppression, and engage in condom-protected sex when virally unsuppressed. Alcohol has been detrimentally linked to all aspects of HIV secondary prevention, and although a growing number of behavioral interventions account for and address alcohol use within this realm, further efforts are needed to fully realize the potential of such initiatives. The present article proposes a series of targeted priorities to inform the future design, implementation, and evaluation of alcohol-related behavioral intervention research within the scope of HIV secondary prevention. These priorities and corresponding approaches account for the challenges of resource-constrained clinic environments; capitalize on technology; and address key comorbidities. This framework provides the foundation for a range of alcohol-related behavioral interventions that could potentially enhance global HIV secondary prevention efforts in the years ahead.

Cognitive behavioral therapy for the treatment of chronic pelvic pain

Chronic pelvic pain (CPP) in women is defined as noncyclical and persistent pain lasting more than six months perceived to be related to the pelvis. There are many etiologies that can cause CPP, including gynecologic, urologic, gastrointestinal, musculoskeletal, neurologic, and psychosocial. There is a strong association between psychological factors and CPP. It has been noted that almost half of women being treated for CPP report a history of sexual, physical, or emotional trauma. Women with CPP have been noted to have higher rates of psychological disorders in comparison to their peers. For men, the most common etiology for CPP is chronic prostatitis and there are also correlations with psychological disorders. There are many different treatment options for CPP: surgical, pharmacological, and non-pharmacological (alternative therapies). Cognitive-behavioral therapy may be another option when treating chronic pelvic pain syndrome and should be considered.