HealthCall for the smartphone: technology enhancement of brief intervention in HIV alcohol dependent patients

Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review

Mobile phone applications (MPAs) for substance use disorder (SUD) treatment are increasingly used by patients. Although pilot studies have shown promising results, multiple previous systematic reviews noted insufficient evidence for MPA use in SUD treatment-many of the previously published reviews evaluated different trials. Subsequently, we aimed to conduct an umbrella review of previously published reviews investigating the efficacy of MPAs for SUD treatment, excluding nicotine/tobacco because umbrella reviews have been done in this population and the nicotine/tobacco MPA approach often differs from SUD-focused MPAs. No previous reviews have included a statistical meta-analysis of clinical trials to quantify an estimated overall effect. Seven reviews met inclusion criteria, and 17 unique studies with available data were taken from those reviews for the meta-analysis. Overall, reviews reported a lack of evidence for recommending MPAs for SUD treatment. However, MPA-delivered recovery support services, cognitive behavioral therapy, and contingency management were identified across multiple reviews as having promising evidence for SUD treatment. Hedges g effect size for an MPA reduction in substance use-related outcomes relative to the control arm was insignificant (0.137; 95% CI, -0.056 to 0.330; P=.16). In subgroup analysis, contingency management (1.29; 95% CI, 1.088-1.482; τ 2=0; k=2) and cognitive behavioral therapy (0.02; 95% CI, 0.001-0.030; τ 2=0; k=2) were significant. Although contingency management's effect was large, both trials were small (samples of 40 and 30). This review includes an adapted framework for the American Psychiatric Association's MPA guidelines that clinicians can implement to review MPAs critically with patients.

An Intervention to Reduce Drinking Among Individuals With HIV and Hepatitis C: A Pilot Randomized Controlled Trial

OBJECTIVE

Heavy drinking poses serious risks to individuals with HIV, hepatitis C virus (HCV), and especially HIV/HCV coinfection. We adapted the National Institute on Alcohol Abuse and Alcoholism Clinician's Guide to address HIV/HCV coinfection and paired this with the "HealthCall" smartphone app to create an intervention tailored to HIV/HCV. After formative work and pretesting with HIV/HCV coinfected heavy drinkers, we conducted a pilot trial to determine potential of this new intervention for decreasing drinking.

METHOD

A sample of 31 HIV/HCV coinfected heavy drinkers were randomly assigned to either intervention (n = 16) or control (n = 15; psychoeducation and brief advice) conditions. All participants completed a 60-day program consisting of approximately 25-minute-long baseline sessions and brief 5-10-minute booster sessions at 30 and 60 days, as well as an assessment-only follow-up at 90 days. Outcomes were measured using the Timeline Followback at baseline, 30, 60, and 90 days. Generalized linear models were used for analysis.

RESULTS

Intervention participants drank fewer mean drinks per drinking day at 60 days (incidence rate ratio [IRR] = 0.43, p = .03) and 90 days (IRR = 0.34, p < .01). Intervention participants also reported fewer drinking days at 90 days (mean difference = 34.5%; p < .01). Self-efficacy differed between groups during intervention (p < .05).

CONCLUSIONS

Although our sample was small, our results suggested lower drinking among participants who received a modified Clinician's Guide intervention plus use of the smartphone app HealthCall, in comparison with education and advice alone. A larger study is indicated to further examine this brief, disseminable intervention for HIV/HCV coinfected drinkers.

Couples motivational interviewing with mobile breathalysers to reduce alcohol use in South Africa: a pilot randomised controlled trial of Masibambisane

INTRODUCTION

Heavy alcohol use among people living with HIV in sub-Saharan Africa can hinder the success of HIV treatment programmes, impacting progress towards United Nations Programme on HIV/AIDS goals. Primary partners can provide critical forms of social support to reduce heavy drinking and could be included in motivational interviewing (MI) interventions to address heavy drinking; however, few studies have evaluated MI interventions for couples living with HIV in sub-Saharan Africa. We aim to evaluate the feasibility and acceptability of a couple-based MI intervention with mobile breathalyser technology to reduce heavy alcohol use and improve HIV treatment outcomes among HIV-affected couples in South Africa.

METHODS AND ANALYSIS

We will employ a three-arm randomised controlled trial to assess the efficacy of couple-based MI (MI-only arm) and in conjunction with mobile breathalysers (MI-plus arm) to address alcohol use and HIV outcomes, as compared with enhanced usual care (control arm). We will enrol heterosexual couples aged 18-49 in a primary relationship for at least 6 months who have at least one partner reporting hazardous alcohol use and on antiretroviral therapy for 6 months. Participants in both MI arms will attend three manualised counselling sessions and those in the MI-plus arm will receive real-time feedback on blood alcohol concentration levels using a mobile breathalyser. Couples randomised in the control arm will receive enhanced usual care based on the South African ART Clinical Guidelines. Feasibility and acceptability indicators will be analysed descriptively, and exploratory hypotheses will be examined through regression models considering time points and treatment arms.

ETHICS AND DISSEMINATION

The study was approved by the University of California, San Francisco (HRPP; protocol number 21-35034) and Human Sciences Research Council Research Ethics Committee (REC: protocol number 1/27/20/21). We will disseminate the results at local community meetings, community-level health gatherings and conferences focused on HIV and alcohol use.

TRIAL REGISTRATION NUMBER

NCT05756790.

Economic Cost of the HealthCall Smartphone Intervention to Reduce Heavy Alcohol Drinking in Adults With HIV

OBJECTIVE

Alcohol use among people living with HIV (PLWH) can reduce adherence and worsen health outcomes. We evaluated the economic cost of an effective smartphone application (HealthCall) to reduce drinking and improve antiretroviral adherence among heavy-drinking PLWH participating in a randomized trial.

METHOD

Participants were randomized to receive a brief drinking-reduction intervention, either (a) the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Clinician's Guide (CG-only, n = 37), (b) CG enhanced by HealthCall to monitor daily alcohol consumption (CG+HealthCall, n = 38), or (c) motivational interviewing delivered by a nonclinician enhanced by HealthCall (MI+HealthCall, n = 39). We used micro-costing techniques to evaluate start-up costs and incremental costs per participant incurred from the health care sector perspective in 2018 U.S. dollars. We also investigated potential cost offsets using participant-reported health care utilization.

RESULTS

Participants attended three intervention visits, and each visit cost on average $29 for CG-only, $32 for CG+HealthCall, and $15 for MI+HealthCall. The total intervention cost per participant was $94 for CG-only, $114 for CG+HealthCall, and $57 for MI+HealthCall; the incremental cost of CG+HealthCall compared with CG-only was $20 per participant, and the incremental savings of MI+HealthCall compared with CG-only was $37 per participant. No significant differences in health care utilization occurred among the three groups over 12 months.

CONCLUSIONS

The cost of enhancing CG with the HealthCall application for heavy-drinking PLWH was modestly higher than using the CG alone, whereas MI enhanced with HealthCall delivered by a nonclinician had a lower cost than CG alone. HealthCall may be a low-cost enhancement to brief interventions addressing alcohol use and antiretroviral adherence among PLWH.

The Craving-Manager smartphone app designed to diagnose substance use/addictive disorders, and manage craving and individual predictors of relapse: a study protocol for a multicenter randomized controlled trial

Background

The rate of individuals with addiction who are currently treated are low, and this can be explained by barriers such as stigma, desire to cope alone, and difficulty to access treatment. These barriers could be overcome by mobile technologies. EMI (Ecological Momentary Intervention) is a treatment procedure characterized by the delivery of interventions (messages on smartphones) to people in their daily lives. EMI presents opportunities for treatments to be available to people during times and in situations when they are most needed. Craving is a strong predictor of relapse and a key target for addiction treatment. Studies using Ecological Momentary Assessment (EMA) method have revealed that, in daily life, person-specific cues could precipitate craving, that in turn, is associated with a higher probability to report substance use and relapse in the following hours. Assessment and management of these specific situations in daily life could help to decrease addictive use and avoid relapse. The Craving-Manager smartphone app has been designed to diagnose addictive disorders, and assess and manage craving as well as individual predictors of use/relapse. It delivers specific and individualized interventions (counseling messages) composed of evidence-based addiction treatments approaches (cognitive behavioral therapy and mindfulness). The Craving-Manager app can be used for any addiction (substance or behavior). The objective of this protocol is to evaluate the efficacy of the Craving-Manager app in decreasing use (of primary substance(s)/addictive behavior(s)) over 4 weeks, among individuals on a waiting list for outpatient addiction treatment.

Methods/design

This multicenter double-blind randomized controlled trial (RCT) will compare two parallel groups: experimental group (full interventional version of the app, 4 weeks, EMA + EMI), versus control group (restricted version of the app, 4 weeks, only EMA). Two hundred and seventy-four participants will be recruited in 6 addiction treatment centers in France.

Discussion

This RCT will provide indication on how the Craving-Manager app will reduce addictive use (e.g., better craving management, better stimulus control) in both substance and behavioral addictions. If its efficacy is confirmed, the app could offer the possibility of an easy to use and personalized intervention accessible to the greatest number of individuals with addiction.

Clinical Trial Registration

ClinicalTrials.gov: NCT04732676.

Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial

BACKGROUND

Opioids accounted for 75% of drug overdoses in the USA in 2020, with rural states particularly impacted by the opioid crisis. While medication-assisted treatment (MAT) with Suboxone remains one of the more efficacious treatments for opioid use disorder (OUD), approximately 40% of people receiving Suboxone for outpatient MAT for OUD (MOUD) relapse within the first 6 months of treatment. We developed the smartphone app-based intervention OptiMAT as an adjunctive intervention to improve MOUD outcomes. The aims of this study are to (1) evaluate the efficacy of adjunctive OptiMAT use in reducing opioid misuse among people receiving MOUD and (2) evaluate the role of specific OptiMAT features in reducing opioid misuse, including the use of GPS-driven just-in-time intervention.

METHODS

We will conduct a two-arm, single-blind, randomized controlled trial of adults receiving outpatient MOUD in the greater Little Rock AR area. Participants are English-speaking adults ages 18 or older recently enrolled in outpatient MOUD at one of our participating study clinics. Participants will be allocated via 1:1 randomized block design to (1) MOUD with adjunctive use of OptiMAT (MOUD+OptiMAT) or (2) MOUD without OptiMAT (MOUD-only). Our blinded research statistician will evaluate differences between the two groups in opioid misuse (as determined by quantitative urinalysis conducted by clinical lab staff blinded to group membership) during the 6-months following study enrolment. Secondary analyses will evaluate if OptiMAT-usage patterns within the MOUD+OptiMAT group predict opioid misuse or continued abstinence.

DISCUSSION

This study will test if adjunctive use of OptiMAT improve MOUD outcomes. Study findings could lead to expansion of OptiMAT into rural clinical settings, and the identification of OptiMAT features which best predict positive clinical outcome could lead to refinement of this and similar smartphone app-based interventions.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT05336188 , registered March 21, 2022.

Design, development and pilot testing of 'Quest', a smartphone-based relapse prevention app for patients with alcohol dependence

OBJECTIVE

To design, develop and pilot the 'Quest' app for smartphone-based relapse prevention for patients diagnosed with alcohol dependence syndrome (ADS).

METHODS

Principles of relapse prevention and motivation enhancement were used to develop the Quest App. Four addiction psychiatrists reviewed the app using the "app evaluation framework". Thirty patients (> 18 yrs age) diagnosed with ADS, who had an Android smartphone, were fluent in writing and reading English and agreed to use the app regularly for the next three months were enrolled in this study. After initial treatment for intoxication/withdrawal and with written consent, patients in the study group (TAUQ) were requested to download the Quest application from a downloadable installation file. The usability and acceptability of Quest App amongst TAUQ patients was evaluated using the usability section of the mHealth App Usability Questionnaire (MAUQ). The short-term effectiveness at the end of three months was compared between TAUQ and comparison group who received Treatment as Usual (TAU).

RESULTS

Both acceptability (65 %) and usability (5.8 out of 7) of the app were high. The patient groups (with or without Quest app) showed a significant reduction in drinking at 30, 60, and 90 days follow-up compared with their baseline number of drinking days. There was no significant difference between the two groups (with or without Quest App) in the median number of lapses and the median number of days of heavy drinking.

CONCLUSIONS

This is the first attempt to develop a smartphone app and test its feasibility in preventing relapse among patients with ADS in the Indian population. Further validation of the app after incorporating feedback and testing on a larger sample size and multiple languages is required.

Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial

Background: Opioids accounted for 75% of drug overdoses in the United States in 2020, with rural states particularly impacted by the opioid crisis. While medication assisted treatment (MAT) with Suboxone remains one of the more efficacious treatments for opioid use disorder (OUD), approximately 40% of people receiving Suboxone for outpatient MAT for OUD (MOUD) relapse within the first 6 months of treatment. We developed the smartphone app-based intervention OptiMAT as an adjunctive intervention to improve MOUD outcomes. The aims of this study are to (1) evaluate the efficacy of adjunctive OptiMAT use in reducing opioid misuse among people receiving MOUD; and (2) evaluate the role of specific OpitMAT features in reducing opioid misuse, including the use of GPS-driven just-in-time intervention. Methods: We will conduct a two-arm, single-blind, randomized controlled trial of adults receiving outpatient MOUD in the greater Little Rock AR area. Participants are English-speaking adults ages 18 or older recently enrolled in outpatient MOUD at one of our participating study clinics. Participants will be allocated via 1:1 randomized block design to (1) MOUD with adjunctive use of OptiMAT (MOUD+OptiMAT) or (2) MOUD without OptiMAT (MOUD-only). Our blinded research statistician will evaluate differences between the two groups in opioid misuse (as determined by quantitative urinalysis conducted by clinical lab staff blinded to group membership) during the 6-months following study enrolment. Secondary analyses will evaluate if OptiMAT-usage patterns within the MOUD+OptiMAT group predict opioid misuse or continued abstinence. Discussion: This study will test if adjunctive use of OptiMAT improve MOUD outcomes. Study findings could lead to expansion of OptiMAT into rural clinical settings, and the identification of OptiMAT features which best predict positive clinical outcome could lead to refinement of this and similar smartphone appbased interventions. Trial registration: ClinicalTrials.gov identifier: NCT05336188, registered March 21, 2022, https://clinicaltrials.gov/ct2/show/NCT05336188.

Implementation of non-pharmacological interventions for the treatment of hypertension in primary care: a narrative review of effectiveness, cost-effectiveness, barriers, and facilitators

BACKGROUND

The current guidelines for the prevention, detection, evaluation, and management of hypertension recommend six types of non-pharmacological interventions: alcohol reduction, salt intake reduction, increased potassium intake, physical activity, weight loss, and heart-healthy diets. However, the non-pharmacological interventions are still not widely used in primary care. In this paper, we, therefore, reviewed and summarised the evidence on the effectiveness, cost-effectiveness, barriers, and facilitators of non-pharmacological interventions for the treatment of hypertension in primary care.

METHODS

A thorough literature search was conducted in Embase, Google Scholar, and PubMed databases, to identify the most recent reviews or, in their absence, primary studies on alcohol reduction, salt intake reduction, potassium supplementation, physical activity, weight reduction, heart-healthy diets, and other non-pharmacological interventions for the treatment of hypertension in primary care.

RESULTS

Alcohol reduction is a non-pharmacological intervention for the treatment of hypertension in primary care with proven effectiveness, feasibility, and acceptability. Interventions for sodium intake reduction, physical activity, and weight reduction are effective but there is insufficient evidence regarding their feasibility and acceptability in primary care settings. Evidence on the effectiveness of potassium intake and heart-healthy diets is limited and inconsistent. There is a lack of evidence on the cost-effectiveness of non-pharmacological interventions in the treatment of hypertension. The most common barriers to deliver such interventions related to healthcare providers include a lack of time, knowledge, self-confidence, resources, clear guidelines, and financial incentives. The most common barriers related to patients include a lack of motivation and educational resources. Less evidence is available on facilitators of implementing non-pharmacological interventions in primary care. Besides, facilitators differed by different types of interventions.

CONCLUSIONS

Available evidence suggests that more pragmatic, clinically feasible, and logistically simple interventions are required for sodium intake reduction, physical activity, and weight reduction in primary care settings. Future studies should provide further evidence on the effectiveness of weight control, potassium intake, and heart-healthy diets. More research is also needed on cost-effectiveness and facilitators of all types of effective non-pharmacological interventions for the treatment of hypertension in primary care.

An interactive mobile application versus an educational booklet to promote job retention in women undergoing adjuvant chemotherapy for breast cancer: a randomized controlled trial

BACKGROUND

Job loss after a cancer diagnosis can lead to long-term financial toxicity and its attendant adverse clinical consequences, including decreased treatment adherence. Among women undergoing (neo)adjuvant chemotherapy for breast cancer, access to work accommodations (e.g., sick leave) is associated with higher job retention after treatment completion. However, low-income and/or minority women are less likely to have access to work accommodations and, therefore, are at higher risk of job loss. Given the time and transportation barriers that low-income working patients commonly face, it is crucial to develop an intervention that is convenient and easy to use.

METHODS

We designed an intervention to promote job retention during and after (neo)adjuvant chemotherapy for breast cancer by improving access to relevant accommodations. Talking to Employers And Medical staff about Work (TEAMWork) is an English/Spanish mobile application (app) that provides (1) suggestions for work accommodations tailored to specific job demands, (2) coaching/strategies for negotiating with an employer, (3) advice for symptom self-management, and (4) tools to improve communication with the medical oncology team. This study is a randomized controlled trial to evaluate the app as a job-retention tool compared to a control condition that provides the app content in an informational paper booklet. The primary outcome of the study is work status after treatment completion. Secondary outcomes include work status 1 and 2 years later, participant self-efficacy to ask an employer for accommodations, receipt of workplace accommodations during and following adjuvant therapy, patient self-efficacy to communicate with the oncology provider, self-reported symptom burden during and following adjuvant therapy, and cancer treatment adherence.

DISCUSSION

This study will assess the use of mobile technology to improve vulnerable breast cancer patients' ability to communicate with their employers and oncology providers, work during treatment and retain their jobs in the long term, thereby diminishing the potential consequences of job loss, including decreased treatment adherence, debt, and bankruptcy.

TRIAL REGISTRATION

ClincalTrials.gov NCT03572374 . Registered on 08 June 2018.

HealthCall: A randomized trial assessing a smartphone enhancement of brief interventions to reduce heavy drinking in HIV care

INTRODUCTION

Heavy drinking among people living with HIV (PLWH) worsens their health outcomes and disrupts their HIV care. Although brief interventions to reduce heavy drinking in primary care are effective, more extensive intervention may be needed in PLWH with moderate-to-severe alcohol use disorder. Lengthy interventions are not feasible in most HIV primary care settings, and patients seldom follow referrals to outside treatment. Utilizing visual and video features of smartphone technology, we developed the "HealthCall" app to provide continued engagement after brief intervention, reduce drinking, and improve other aspects of HIV care with minimal demands on providers. We conducted a randomized trial of its efficacy.

METHODS

The study recruited alcohol-dependent PLWH (n = 114) from a large urban HIV clinic. Using a 1:1:1 randomized design, the study assigned patients to: Motivational Interviewing (MI) plus HealthCall (n = 39); NIAAA Clinician's Guide (CG) plus HealthCall (n = 38); or CG-only (n = 37). Baseline MI and CG interventions took ~25 min, with brief (10-15 min) 30- and 60-day booster sessions. HealthCall involved daily use of the smartphone app (3-5 min/day) to report drinking and health in the prior 24 h. Outcomes assessed at 30 and 60 days and at 3, 6 and 12 months included drinks per drinking day (DpDD; primary outcome) and number of drinking days, analyzed with generalized linear mixed models and pre-planned contrasts.

RESULTS

Study retention was excellent (85%-94% across timepoints). At 30 days, DpDD among patients in MI + HealthCall, CG + HealthCall, and CG-only was 3.80, 5.28, and 5.67, respectively; patients in MI + HealthCall drank less than CG-only and CG + HealthCall (IRRs = 0.62, 95% CI = 0.46, 0.84, and 0.64, 95% CI = 0.48, 0.87, respectively). At 6 months (end-of-treatment), DpDD was lower in CG + HealthCall (DpDD = 4.88) than MI + HealthCall (DpDD = 5.88) or CG-only (DpDD = 6.91), although these differences were not significant. At 12 months, DpDD was 5.73, 5.31, and 6.79 in MI + HealthCall, CG + HealthCall, and CG-only, respectively; DpDD was significantly lower in CG + HealthCall than CG-only (IRR = 0.71, 95% CI = 0.51, 0.98).

CONCLUSIONS

During treatment, patients in MI + HealthCall had lower DpDD than patients in other conditions; however, at 12 months, drinking was lowest among patients in CG + HealthCall. Given the importance of drinking reduction and the low costs/time required for HealthCall, pairing HealthCall with brief interventions merits widespread consideration.

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.

Is Cannabis being used as a substitute for non-medical opioids by adults with problem substance use in the United States? A within-person analysis

BACKGROUND AND AIMS

Ecological studies have suggested that Cannabis legalization might have led to a decrease in opioid overdose deaths. Such studies do not provide information about whether individuals are substituting Cannabis for opioids at different points in time. The current study assessed the magnitude of the daily association between Cannabis and opioid use in individual adults with and without pain who use non-medical opioids.

DESIGN

Prospective cohort study.

SETTING

The greater New York area and a suburban inpatient addiction program.

PARTICIPANTS

Adults with problem substance use who use non-medical opioids, recruited from May 2016-June 2019. The analytical sample included 13 271 days of observation among 211 participants (64% male, 41% white, 78% unmarried, 80% unemployed, mean age 43 years).

MEASUREMENTS

Participants completed interviewer- and self-administered computerized surveys, and then responded to an interactive voice response (IVR) system daily for the following 90 days. The main exposures, Cannabis use and pain, were defined as responding affirmatively to the IVR question: 'Did you use Cannabis yesterday?' and endorsing moderate or severe pain at baseline, respectively. The main outcome, non-medical or illicit opioid use during 90-day follow-up, was defined as responding affirmatively to IVR question: 'Did you use heroin yesterday?' or 'Did you use prescription opioids more than prescribed or without a prescription yesterday?'.

FINDINGS

The mean IVR completion rate was 70%. The unadjusted odds ratio (aOR) indicating same-day use of Cannabis and opioids was 2.00 [95% confidence interval (CI) = 1.54-2.59]. Controlling for demographic characteristics, recruitment method, opioid types at baseline and pain, the aOR was 1.86 (95% CI = 1.44-2.41). A test of interaction between pain and Cannabis use to determine if the association of Cannabis with opioid use differed between people with moderate-to-severe pain and less-than-moderate pain was inconclusive.

CONCLUSIONS

Among US adults with problem substance use who use non-medical opioids, the odds of opioid use appear to be approximately doubled on days when Cannabis is used. This relationship does not appear to differ between people with moderate or more severe pain versus less than moderate pain, suggesting that Cannabis is not being used as a substitute for illegal opioids.

Smartphone use by health professionals: A review

Introduction

On the world stage unlimited internet access by smartphones have made in social, cultural and economic relations, has transformed the world to be faster and more efficient. In this context, health care requires more attention. Health professionals must be concerned about the majority of the patient’s care on the use of smartphone’s in this process. Smartphones can be cause distractions and cause poor patient care. Behavioral and psychological changes related to abusive and uncontrolled use in this population may create severe impacts not only on the user’s life but also on the community health care.

Method

A careful research was performed through PubMed, Web of Science and Psycho Info databases using the terms: “Smartphone addiction”, “Smartphone dependence”, “Smartphone abuse”, “physicians”, “nurses” and ‘‘health professionals”. The search covered the past 5 years up to August 2019. Articles that examine abusive use on smartphones in health professionals were included. We analyzed how this concept evolved over the last five years and hope to contribute to the better understanding of the issue and its impacts on this population and on the health care.

Results

There is a lack of specific trial instruments on screening of smartphone addiction or abusive use, tending to adopt different diagnostic criteria by the reports included. There are also a lack of studies discussing etiology of this compulsive behavior. Although known risks, published reports show there is no consciousness of abusive use and possible damages in healthcare by some health professionals. Instead, there are others that can affirm there are unpredictable risks in patient care and tend to stimulate conscience use politics in health settings. Most of them point out smartphone’s app benefits.

Conclusion

Smartphones and its functionalities became part of everyone's life by the various benefits guaranteed. However, an addictive behavior can cause damage, principally in the Health Care setting and health professional’s abusive use must be monitored. Further investigation is needed to determine the motivations of this addictive behavior and if abusive smartphone usage is a new psychiatric classification or merely the substrate of other disorders.

Mobile Apps to Reduce Tobacco, Alcohol, and Illicit Drug Use: Systematic Review of the First Decade

Background

Mobile apps for problematic substance use have the potential to bypass common barriers to treatment seeking. Ten years following the release of the first app targeting problematic tobacco, alcohol, and illicit drug use, their effectiveness, use, and acceptability remains unclear.

Objective

This study aims to conduct a systematic literature review of trials evaluating mobile app interventions for problematic tobacco, alcohol, and illicit drug use.

Methods

The review was conducted according to recommended guidelines. Relevant databases were searched, and articles were included if the mobile app study was a controlled intervention trial and reported alcohol, tobacco, or illicit drug consumption as outcomes.

Results

A total of 20 studies met eligibility criteria across a range of substances: alcohol (n=11), tobacco (n=6), alcohol and tobacco (n=1), illicit drugs (n=1), and illicit drugs and alcohol (n=1). Samples included the general community, university students, and clinical patients. The analyzed intervention sample sizes ranged from 22 to 14,228, and content was considerably diverse, from simple stand-alone apps delivering self-monitoring or psychoeducation to multicomponent apps with interactive features and audio content, or used as adjuncts alongside face-to-face treatment. Intervention duration ranged from 1 to 35 weeks, with notifications ranging from none to multiple times per day. A total of 6 of the 20 app interventions reported significant reductions in substance use at post or follow-up compared with a comparison condition, with small to moderate effect sizes. Furthermore, two other app interventions reported significant reductions during the intervention but not at post treatment, and a third reported a significant interaction of two app intervention components.

Conclusions

Although most app interventions were associated with reductions in problematic substance use, less than one-third were significantly better than the comparison conditions at post treatment. A total of 5 out of the 6 apps that reported intervention effects targeted alcohol (of those, one targeted alcohol and illicit drugs and another alcohol and tobacco) and 1 targeted tobacco. Moreover, 3 out of 6 apps included feedback (eg, personalized) and 2 had high risk of bias, 1 some risk, and 3 low risk. All 6 apps included interventions of 6 weeks or longer. Common study limitations were small sample sizes; risk of bias; lack of relevant details; and, in some cases, poorly balanced comparison conditions. Appropriately powered trials are required to understand which app interventions are most effective, length of engagement required, and subgroups most likely to benefit. In sum, evidence to date for the effectiveness of apps targeting problematic substance use is not compelling, although the heterogeneous comparison conditions and trial designs across studies limit the ability to compare efficacy between apps. We discuss potential approaches that can help ascertain whether the promise of mobile app interventions for problematic substance use can be fulfilled.

Smartphone application plus brief motivational intervention reduces substance use and sexual risk behaviors among homeless young adults: Results from a randomized controlled trial

Homeless young adults are more likely than their never-homeless counterparts to abuse substances and engage in sexual risk behaviors. This study evaluated the feasibility and preliminary effectiveness of OnTrack, a smartphone application to self-monitor substance use and sexual risk behaviors, plus a brief motivational intervention (BMI), in reducing substance use and sexual risk among homeless young adults. A randomized controlled pilot trial (N = 60) compared OnTrack + BMI to treatment as usual (TAU) at an inner-city crisis shelter for homeless young adults (aged 18-21 years). Participants were assessed at baseline and 2 weeks, 4 weeks, and 6 weeks after baseline to evaluate substance use and sexual risk behaviors. Kruskal-Wallis tests determined differences between baseline and postintervention assessments. Logistic regression models examined treatment effect on change in outcomes between baseline and postintervention follow-up assessment, controlling for baseline levels. Participants in OnTrack + BMI significantly reduced past 2-week number of drinks (p = .023), times used marijuana (p = .046), times engaged in unprotected sex (p = .012), and times used drugs before sexual activity (p = .019). No reductions of substance use or sexual risk behaviors were found among participants in TAU (all ps > .05). After adjusting for baseline levels of substance use and sexual risk, participants in OnTrack + BMI had significantly lower odds than those in TAU for drinking alcohol (adjusted OR = 0.14; p = .01) and having unprotected sex (adjusted OR = 0.151; p = .032). OnTrack + BMI is feasible and effective in reducing past 2-week alcohol use and unprotected sex among homeless young adults. A larger randomized trial is warranted to replicate and extend present results. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

A randomized clinical trial of mobile phone motivational interviewing for alcohol use problems in Kenya

AIM

To test the effectiveness of a motivational interviewing (MI) intervention using the mobile phone among adults with alcohol use problems.

DESIGN

A randomized clinical trial of mobile MI and standard in-person MI with 1- and 6-month follow-up, including a 1-month waitlist control followed by mobile MI.

SETTING

A primary health center in rural Kenya.

PARTICIPANTS

Three hundred adults screening positive for alcohol use problems were randomized and received immediate mobile MI (n = 89), in-person MI (n = 65) or delayed mobile MI (n = 76) for waiting-list controls 1 month after no treatment, with 70 unable to be reached for intervention.

INTERVENTION AND COMPARATOR

One MI session was provided either immediately by mobile phone, in-person at the health center or delayed by 1 month and then provided by mobile phone.

MEASUREMENTS

Alcohol use problems were repeatedly assessed using the Alcohol Use Disorder Identification Test (AUDIT) and the shorter AUDIT-C. The primary outcome was difference in alcohol score 1 month after no intervention for waiting-list control versus 1 month after MI for mobile MI. The secondary outcomes were difference in alcohol score for in-person MI versus mobile MI one and 6 months after MI.

FINDINGS

For our primary outcome, average AUDIT-C scores were nearly three points higher (difference = 2.88, 95% confidence interval = 2.11, 3.66) for waiting-list controls after 1 month of no intervention versus mobile MI 1 month after intervention. Results for secondary outcomes supported the null hypothesis of no difference between in-person and mobile MI at 1 month (Bayes factor = 0.22), but were inconclusive at 6 months (Bayes factor = 0.41).

CONCLUSION

Mobile phone-based motivational interviewing may be an effective treatment for alcohol use problems among adults visiting primary care in Kenya. Providing mobile motivational interviewing may help clinicians in rural areas to reach patients needing treatment for alcohol use problems.

Facilitators and barriers to incorporating digital technologies into HIV care among cisgender female sex workers living with HIV in South Africa

BACKGROUND

An estimated 44-69% of female sex workers (FSW) in South Africa are living with HIV, among whom 39% are virally suppressed. Digital technologies-increasingly advanced and accessible to marginalized populations-present new opportunities to improve the HIV care continuum. The objective of this study was to explore potential facilitators and barriers to incorporating mobile phones and advanced technologies (e.g., biometric identification methods, mobile phone applications for social media and other uses, and chatbots) to deliver HIV-related interventions to cisgender FSW living with HIV in Durban, South Africa.

METHODS

Four semi-structured, focus group discussions (FGDs) were conducted with 22 cisgender FSWs in December 2018. Participants were recruited from the ongoing Siyaphambili trial using maximum variation sampling to optimize diversity in participant age and sex work venue. FGDs were audio recorded in isiZulu, and translated and transcribed into English. Transcripts were inductively coded using thematic analysis and sub-themes were iteratively refined to connect and evaluate the saliency of codes.

RESULTS

Phone ownership was motivated by a desire to remain safe and to connect with family, peers, and clients. When FSW did not have access to a mobile phone, they reported sharing phones with their peers, though sharing only occurred under specific conditions. Still, to integrate mobile phones into HIV care, FSW identified consistent access to mobile phones as a key barrier. Mobile phone turnover due to frequent selling of phones to meet other financial priorities, substance use, and theft were common. To integrate advanced technologies into HIV care, FSW identified convenience, security, and additional opportunities for social support as the main facilitators. For example, FSW described how biometric identification at clinics could eliminate the need to retain a clinic card. FSW also described how chatbots could easily set medication alarms or be available to assist in emergencies. Barriers for advanced technologies included maintaining privacy, potential threats to security, and cost.

CONCLUSIONS

FSWs were receptive to digital technologies for HIV care and beyond, but they also described many barriers such as inconsistent phone ownership and threats to privacy. As phone ownership grows and HIV programs increasingly leverage digital tools, strong considerations are needed to ensure the most vulnerable are not systematically excluded.

Prevention, screening, and treatment for heavy drinking and alcohol use disorder

Heavy drinking and alcohol use disorder are major public health problems. Practitioners not specialising in alcohol treatment are often unaware of the guidelines for preventing, identifying, and treating heavy drinking and alcohol use disorder. However, a consensus exists that clinically useful and valuable tools are available to address these issues. Here, we review existing information and developments from the past 5 years in these areas. We also include information on heavy drinking and alcohol use disorder among individuals with co-occurring psychiatric disorders, including drug use disorders. Areas covered include prevention; screening, brief intervention, and referral for treatment; evidence-based behavioural interventions; medication-assisted treatment; technology-based interventions (eHealth and mHealth); and population-level interventions. We also discuss the key topics for future research.

Telehealth interventions to reduce alcohol use in men with HIV who have sex with men: Protocol for a factorial randomized controlled trial

BACKGROUND

Heavy alcohol use is prevalent among men who have sex with men (MSM) living with HIV and is associated with reduced antiretroviral therapy adherence, reduced HIV viral suppression, and reduced survival. We recently found that compared to HIV treatment as usual, three sessions of in-person motivational interviewing (MI) substantially reduced drinking in MSM with HIV. In an effort to enhance the effectiveness and efficiency of this intervention, the present study will test whether MI is more effective than brief intervention when delivered by videoconferencing, whether interactive text messaging (ITM) can enhance the effects of alcohol intervention, and whether extended duration of intervention is more effective than brief duration.

METHODS

Using a 2 × 2 × 2 factorial design, we will randomly assign 224 heavy-drinking MSM with HIV to: MI or brief intervention (BI); ITM or no ITM; Standard or Extended intervention (EI). All participants will receive intervention immediately after baseline assessment via videoconferencing and at 1-month post baseline via telephone. Participants randomized to EI will receive additional intervention sessions at 3, 6, and 9 months. Participants randomized to ITM will receive daily interactive texts about alcohol use for 1 month, with those randomized to EI receiving weekly interactive texts through 9 months. Alcohol and HIV-related outcomes will be assessed at 6 and 12 months post baseline.

CONCLUSION

By testing the combinations of interventions that can most effectively reduce alcohol use among MSM with HIV, this study will set the stage for wider-scale implementation of an optimized intervention combination.

The feasibility of using smartphones and mobile breathalyzers to monitor alcohol consumption among people living with HIV/AIDS

Background

For people living with HIV/AIDS (PLWHA), alcohol consumption is associated with poor treatment outcomes and medication adherence. This pilot study examined the feasibility of using smartphones and mobile Bluetooth breathalyzers for monitoring alcohol consumption among PLWHA (N = 17).

Methods

For 2 weeks, participants responded to twice-daily text message prompts by completing a breathalyzer reading and a mobile survey about their alcohol use. They also completed baseline questionnaires assessing alcohol consumption and hazardous drinking behaviors.

Results

Participants completed an average of 22 of 28 breathalyzer readings and 17 of 28 mobile surveys, and were more likely to complete daytime (vs. evening) monitoring tasks. Results suggested that self-reported frequency of binge drinking at baseline was related to an increased number of days with alcohol consumption according to breathalyzer and mobile surveys, as well as a higher average blood alcohol content. Qualitative interviews found generally positive attitudes toward the technologies, but some participants reported experiencing technical difficulties.

Conclusions

Overall, this preliminary research suggests that smartphone monitoring of alcohol consumption among PLWHA may reflect cross-sectional self-reported alcohol consumption behaviors, but could use improvements to increase adherence to monitoring tasks.

Modified cognitive behavioral therapy (M-CBT) for cocaine dependence: Development of treatment for cognitively impaired users and results from a Stage 1 trial

Cognitive impairments are associated with poor outcomes when treating cocaine dependent patients, but behavioral interventions to mitigate this impact have not been developed. In this Stage 1A/1B treatment development study, several compensatory strategies (e.g., content repetition, daily logs, diaries, visual presentation) were combined to create a modified cognitive behavioral therapy (M-CBT) for treating cocaine dependence. Initially, a select group of therapists, neuropsychology experts, and patients were asked to provide input on early drafts of the treatment manual and companion patient workbook. After an uncontrolled small trial (N = 15) and two rounds of manual development (Stage 1A), a pilot randomized clinical trial (N = 102) of cocaine dependent outpatients with and without cognitive impairments was conducted (Stage 1B). Participants were randomized to M-CBT (N = 52) or CBT (N = 50). Both treatments were individually delivered over 12 weeks with assessments conducted at baseline, end-of-treatment, and 3-month follow-up. The primary outcome was frequency of cocaine use, measured by number of days used in the prior 7 days. Participants in the two treatment groups did not differ significantly on drug use reduction or retention in treatment. However, among participants who completed at least 9 weeks of treatment, those in M-CBT showed a trend toward greater reduction in cocaine use compared to those in the CBT group. M-CBT is feasible for impaired and nonimpaired cocaine dependent participants. However, M-CBT treatment did not show significant superiority over standard CBT in the present sample. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Feasibility and Effects of Digital Interventions to Support People in Recovery From Substance Use Disorders: Systematic Review

Background

The development and evaluation of digital interventions aimed at preventing or treating substance use–related problems and disorders is a rapidly growing field. Previous reviews of such interventions reveal a large and complex picture with regard to targeted users, use, and efficacy.

Objective

The objective of this review was to investigate the feasibility and effects of interventions developed specifically for digital platforms. These interventions are focused on supporting people in recovery from substance use disorders by helping them achieve their substance use goals and develop a more satisfying life situation.

Methods

The review is based on a systematic search in MEDLINE, Embase, PsycInfo, and Cochrane Library databases. Of the 1149 identified articles, 722 were excluded as obviously not relevant. Of the remaining articles, 21 were found to be previous reviews, 269 were on interventions aimed at reducing hazardous alcohol or cannabis use, and 94 were on digitized versions of standard treatment methods. The remaining 43 articles were all read in full and systematically scored by both authors.

Results

The 43 articles cover 28 unique interventions, of which 33 have been published after 2013. The interventions are aimed at different target groups (defined by age, substance, or comorbidity). Based on the number of features or modules, the interventions can be categorized as simple or complex. Fourteen of the 18 simple interventions and 9 of the 10 complex interventions have been studied with quantitative controlled methodologies. Thirteen of the 18 simple interventions are integrated in other treatment or support systems, mainly delivered as mobile phone apps, while 6 of the 10 complex interventions are designed as stand-alone interventions, most often delivered on a platform combining desktop/Web and mobile phone technologies. The interventions were generally easy to implement, but in most cases the implementation of the complex interventions was found to be dependent on sustained organizational support. Between 70% and 90% of the participants found the interventions to be useful and easy to use. The rates of sustained use were also generally high, except for simple interventions with an open internet-based recruitment and some information and education modules of the complex interventions. Across all interventions, slightly more than half (55%) of the studies with control groups generated positive findings on 1 or more substance use outcomes, with 57% of the interventions also found to be efficacious in 1 or more studies. In the positive studies, effects were typically in the small to moderate range, with a few studies yielding larger effects. Largely due to the inclusion of stronger control conditions, studies of simple interventions were less likely to produce positive effects.

Conclusions

The digital interventions included in this review are in general feasible but are not consistently effective in helping people in recovery from substance use disorder reduce their substance use or achieving other recovery goals.

A smartphone app to reduce excessive alcohol consumption: Identifying the effectiveness of intervention components in a factorial randomised control trial

Our aim was to evaluate intervention components of an alcohol reduction app: Drink Less. Excessive drinkers (AUDIT>=8) were recruited to test enhanced versus minimal (reduced functionality) versions of five app modules in a 25 factorial trial. Modules were: Self-monitoring and Feedback, Action Planning, Identity Change, Normative Feedback, and Cognitive Bias Re-training. Outcome measures were: change in weekly alcohol consumption (primary); full AUDIT score, app usage, app usability (secondary). Main effects and two-way interactions were assessed by ANOVA using intention-to-treat. A total of 672 study participants were included. There were no significant main effects of the intervention modules on change in weekly alcohol consumption or AUDIT score. There were two-way interactions between enhanced Normative Feedback and Cognitive Bias Re-training on weekly alcohol consumption (F = 4.68, p = 0.03) and between enhanced Self-monitoring and Feedback and Action Planning on AUDIT score (F = 5.82, p = 0.02). Enhanced Self-monitoring and Feedback was used significantly more often and rated significantly more positively for helpfulness, satisfaction and recommendation to others than the minimal version. To conclude, in an evaluation of the Drink Less smartphone application, the combination of enhanced Normative Feedback and Cognitive Bias Re-training and enhanced Self-monitoring and Feedback and Action Planning yielded improvements in alcohol-related outcomes after 4-weeks.

HealthCall delivered via smartphone to reduce co-occurring drug and alcohol use in HIV-infected adults: A randomized pilot trial

AIMS

Co-occurrence of drug and alcohol use among people living with HIV is linked to poor medication adherence and lack of viral suppression. HealthCall, a technological enhancement of brief Motivational Interviewing (MI), involves brief daily self-monitoring, positive reinforcement, and personalized feedback. This randomized pilot study among people living with HIV investigated the feasibility and efficacy of reducing non-injection drug and alcohol use with MI+HealthCall as adapted for smartphone technology.

DESIGN

An urban, largely-minority community sample of adults living with HIV were screened for eligibility: last 30 day use of non-injection drugs (≥4days of crack/cocaine, methamphetamine, or heroin use) and binge drinking (≥1day of 4+ standard drinks). Those eligible were randomized to one of two groups: MI-only (n=21) and MI+HealthCall-S (n=21). Trained counselors delivered the brief MI at baseline. Drug and alcohol use assessments were completed at baseline, 30 and 60days (end of treatment). Primary outcomes derived from a Timeline Follow Back (TLFB) of the past 30 days included (1) total number of days used primary drug (NumDU) (2) total quantity of primary drug used (dollar amount spent per day; QuantU), (3) total number of drinking days (NumDD) and (4) mean number of drinks per day (QuantDD). Feasibility was determined by HealthCall use rates, patient satisfaction questionnaire (1-5 scale, 5 being best), and retention.

FINDINGS

The median daily use rate for HealthCall was 95%, patient satisfaction was excellent (4.5) and retention was high (93%). Both treatment groups reduced drug and alcohol use by end of treatment, with MI+Healthcall-S showing significantly greater reductions than MI-only in QuantU (p=0.01) and NumDU (p=0.046). P-values for reductions in alcohol quantity and frequency in the MI+Healthcall group were 0.09-0.11.

CONCLUSIONS

This proof-of-concept randomized trial indicates that HealthCall on the smartphone is a highly feasible intervention in urban, minority individuals with HIV, and suggests efficacy in reducing co-occurring drug and alcohol use. Results suggest opportunities for brief behavioral intervention that may be enhanced through interactive mobile technology to address complex alcohol and drug use patterns that interfere with HIV care, medication adherence and ultimately, viral suppression. A larger randomized trial is warranted to replicate and extend present results.

Automated telephone interventions for problematic alcohol use in clinical and population samples: a randomized controlled trial

Objective

The primary objective was to evaluate 6-month outcomes for brief and extensive automated telephony interventions targeting problematic alcohol use, in comparison to an assessment-only control group. The secondary objective was to compare levels of problematic alcohol use (hazardous, harmful or probable dependence), gender and age among study participants from clinical psychiatric and addiction outpatient settings and from population-based telephone helpline users and Internet help-seeker samples.

Results

The Alcohol Use Disorders Identification Test (AUDIT) was used for screening of problematic alcohol use and 6-month follow-up assessment. A total of 248 of help-seekers with at least hazardous use (AUDIT scores of ≥ 6/≥ 8 for women/men) were recruited from clinical and general population settings. Minor recruitment group differences were identified with respect to AUDIT scores and age at baseline. One hundred and sixty persons (64.5%) did not complete the follow-up assessment. The attrition group had a higher proportion of probable dependence (71% vs. 56%; p = 0.025), and higher scores on the total AUDIT, and its subscales for alcohol consumption and alcohol problems. At follow up, within-group problem levels had declined across all three groups, but there were no significant between-group differences.

Trial registration ClinicalTrials.gov NCT01958359, Registered October 9, 2013. Retrospectively registered

mHealth Interventions To Support Self-Management In HIV: A Systematic Review

Background:

Self-management is an important aspect of long-term HIV treatment. Mobile technologies offer the potential to efficiently deliver interventions to facilitate HIV self-management. The last comprehensive review of such mHealth interventions was conducted in 2011. Given the rapidly evolving field, a need was identified for an updated review of the literature.

Objective:

The study aimed to describe and evaluate current evidence-based mHealth interventions to support self-management in HIV.

Method:

Eight online databases (Medline, Scopus, Embase, PsycINFO, Cochrane, Global Health CAB, IEEE explore, Web of Science) were systematically searched for papers describing and evaluating mHealth HIV self-management interventions. Reference lists of relevant papers were also searched. Data on intervention content and evaluation methodology were extracted and appraised by two researchers.

Results:

41 papers were identified evaluating 28 interventions. The majority of these interventions (n=20, 71%) had a single focus of either improving adherence (n=16), increasing engagement in care (n=3) or supporting smoking cessation (n=1), while just 8 (29%) were more complex self-management interventions, targeting a range of health-related behaviours. Interventions were predominantly delivered through SMS messaging. They significantly impacted on a range of outcomes including adherence, viral load, mental health and social support.

Conclusion:

Since the last major review of mHealth interventions in HIV, there has been a shift from exploratory acceptability/feasibility studies to impact evaluations. While overall the interventions impacted on a range of outcomes, they were generally limited in scope, failing to encompass many functions identified as desirable by people living with HIV. Participant incentives may limit the generalizability of findings.

There is an app for that - Or is there? A content analysis of publicly available smartphone apps for managing alcohol use

INTRODUCTION

Smartphone apps are emerging as a promising tool to support recovery from and prevention of problematic alcohol use, yet it is unclear what type of apps are currently available in the public domain, and to what degree these apps use interactive tailoring or other dynamic features to meet users' specific needs.

METHODS

We conducted a content analysis of Android apps for managing drinking available on Google Play (n=266), downloaded between November 21, 2014 and June 25, 2015. We recorded app popularity (>10,000 downloads) and user-rated quality (number of stars) from Google Play, and coded the apps on three domains (basic descriptors, functionality, use of dynamic features).

RESULTS

In total, the reviewed 266 apps were downloaded at least 2,793,567 times altogether. The most common types of app were BAC calculators (37%), information provision apps (37%), tracking calendars (24%), and motivational tools (21%). Most apps were free (65%) or low in cost (mean=$3.76; SD=$5.80). Many apps provided at least some level of tailored feedback (60%), but the extent of tailoring was limited. Use of other dynamic features (i.e., push notifications, passive data collection) was largely absent. Univariate models predicting app popularity (i.e., >10,000 downloads vs. not) and user-rated quality (i.e., star rating) indicated that tailoring was positively related to popularity (OR=2.41 [1.30-4.46]), and the existence of time-based tailoring (e.g., tracking) was related to quality (b=0.48 [0.19-0.77]).

CONCLUSIONS

These apps have a wide public health reach with >2.7 million total combined downloads to date. A wide variety of apps exist, allowing persons interested in using apps to help them manage their drinking to choose from numerous types of supports. Tailoring, while related favorably to an app's popularity and user-rated quality, is limited in publicly available apps.

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

BACKGROUND

Alcohol consumption at hazardous levels is more prevalent and associated with poor health outcomes among persons living with the human immunodeficiency virus (HIV; PLWH). Although PLWH are receptive to using technology to manage health issues, it is unknown whether a cell phone app to self-manage alcohol use would be acceptable among PLWH who drink. The objectives of this study were to determine factors associated with interest in an app to self-manage drinking and to identify differences in baseline mobile technology use among PLWH by drinking level.

METHODS

The study population included 757 PLWH recruited from 2014 to 2016 into the Florida Cohort, an ongoing cohort study investigating the utilization of health services and HIV care outcomes among PLWH. Participants completed a questionnaire examining demographics, substance use, mobile technology use, and other health behaviors. Multivariable logistic regression was used to identify factors significantly associated with interest in an app to self-manage drinking. We also determined whether mobile technology use varied by drinking level.

RESULTS

Of the sample, 40% of persons who drink at hazardous levels, 34% of persons who drink at nonhazardous levels, and 19% of persons who do not drink were interested in a self-management app for alcohol use. Multivariable logistic regression analysis indicated that nonhazardous drinking (adjusted odds ratio [AOR] = 1.78; confidence interval [CI 95%]: 1.10-2.88) and hazardous drinking (AOR = 2.58; CI: 1.60-4.16) were associated with interest, controlling for age, gender, education, and drug use. Regarding mobile technology use, most of the sample reported smartphone ownership (56%), text messaging (89%), and at least one cell phone app (69%).

CONCLUSIONS

Regardless of drinking level, overall mobile technology use among PLWH was moderate, whereas PLWH who consumed alcohol expressed greater interest in a cell phone app to self-manage alcohol use. This indicates that many PLWH who drink would be interested in and prepared for a mobile technology-based intervention to reduce alcohol consumption.

A Randomized Controlled Trial of Brief Intervention by Interactive Voice Response

Aims

To determine the effect of an Interactive Voice Response (IVR) brief intervention (BI) to reduce alcohol consumption among adults seeking primary care.

Methods

Patients (N = 1855) with unhealthy drinking were recruited from eight academic internal medicine and family medicine clinics and randomized to IVR-BI (n = 938) versus No IVR-BI control (n = 917). Daily alcohol consumption was assessed at baseline, 3- and 6-months using the Timeline Followback.

Results

The IVR-BI was completed by 95% of the 938 patients randomized to that condition, and 62% of them indicated a willingness to consider a change in their drinking. Participants in both conditions significantly reduced consumption over time, but changes were not different between groups. Regardless of condition, participants with alcohol use disorder (AUD) showed significant decreases in drinking outcomes. No significant changes were observed in patients without AUD, regardless of condition.

Conclusion

Although the IVR intervention was well accepted by patients, there was no evidence that IVR-BI was superior to No IVR-BI for reducing drinking in the subsequent 6 months. Because both the design and the intervention tested were novel, we cannot say definitively why this particular eHealth treatment lacked efficacy. It could be useful to evaluate the effect of the pre-randomization assessment alone on change in drinking. The high treatment engagement rate and successful implementation protocol are strengths, and can be adopted for future trials.

Short summary

We examined the efficacy of a novel BI for patient self-administration by automated telephone. Alcohol consumption decreased over time but there were no between-group changes in consumption. Regardless of treatment condition, participants with alcohol use disorder (AUD) showed significant reduction in drinking but participants without AUD showed no change.

Among patients with unhealthy alcohol use, those with HIV are less likely than those without to receive evidence-based alcohol-related care: A national VA study

BACKGROUND

Alcohol use has important adverse effects on people living with HIV (PLWH). This study of patients with recognized unhealthy alcohol use estimated and compared rates of alcohol-related care received by PLWH and HIV- patients.

METHODS

Outpatients from the Veterans Health Administration who had one or more positive screen(s) for unhealthy alcohol use (AUDIT-C≥5) documented in their medical records 10/2009-5/2013 were eligible. Primary and secondary outcomes were brief intervention documented ≤14days after a positive alcohol screen, and a composite measure of any alcohol-related care (brief intervention, specialty addictions treatment or pharmacotherapy documented ≤365 days), respectively. Unadjusted and adjusted regression analyses compared alcohol-related care outcomes in PLWH and HIV- patients.

RESULTS

The sample included 830,825 outpatients (3,514 PLWH), reflecting 1,172,606 positive screens (1-5 per patient). For PLWH, 57.0% (95% confidence interval 55.4-58.5%) of positive screens were followed by brief intervention, compared to 73.8% (73.7-73.9%) for HIV- patients [relative rate: 0.77 (0.75-0.79), p<0.001]. After adjustment, comparable proportions were 61.0% (59.3-62.6%) for PLWH and 73.7% (73.6-73.8%) for HIV- patients [adjusted RR=0.83 (0.80-0.85); p<0.001]. Secondary outcome results were similar: for PLWH and HIV- patients, 67.1% (65.7-68.6%) and 77.7% (95% CI 77.7-77.8%) of positive screens, respectively, were followed by any alcohol-related care after adjustment [adjusted RR=0.86 (0.85-0.88), p<0.001].

CONCLUSIONS

In this large national sample of VA outpatients with unhealthy alcohol use, PLWH were less likely to receive alcohol-related care than HIV- patients. Special efforts may be needed to ensure alcohol-related care reaches PLWH.

Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies

BACKGROUND

Interventions delivered by smartphone apps have the potential to help drinkers reduce their consumption of alcohol. To optimize engagement and reduce the high rates of attrition associated with the use of digital interventions, it is necessary to ensure that an app's design and functionality is appropriate for its intended purposes and target population.

AIMS

To understand the usability of an app to help people reduce their alcohol consumption.

METHOD

The app, Drink Less, contains a core module focusing on goal setting, supplemented by five additional modules: self-monitoring and feedback, identity change, cognitive bias re-training, action planning, and social comparison. Two studies were conducted, a "think aloud" study performed with people using the app for the first time and a semistructured interview study performed after users had had access to the app for at least 2 weeks. A thematic analysis of the "think aloud" and interview transcripts was conducted by one coder and verified by a second.

RESULTS

Twenty-four participants, half of whom were women and half from disadvantaged groups, took part in the two studies. Three main themes identified in the data were "Feeling lost and unsure of what to do next," "Make the app easy to use," and "Make the app beneficial and rewarding to use." These themes reflected participants' need for (i) guidance, particularly when first using the app or when entering data; (ii) the data entry process to be simple and the navigation intuitive; (iii) neither the amount of text nor range of options to be overwhelming; (iv) the app to reward them for effort and progress; and (v) it to be clear how the app could help alcohol reduction goals be reached.

CONCLUSION

First-time and experienced users want an alcohol reduction app to be easy, rewarding, and beneficial to use. An easy-to-use app would reduce user burden, offer ongoing help, and be esthetically pleasing. A rewarding and beneficial app would provide positive reinforcement, give feedback about progress, and demonstrate credibility. Users need help when first using the app, and they need a compelling reason to continue using it.

Reducing non-injection drug use in HIV primary care: A randomized trial of brief motivational interviewing, with and without HealthCall, a technology-based enhancement

AIMS

In HIV-infected individuals, non-injection drug use (NIDU) compromises many health outcomes. In HIV primary care, the efficacy of brief motivational interviewing (MI) to reduce NIDU is unknown, and drug users may need greater intervention. We designed an enhancement to MI, HealthCall (HC), for daily patient self-monitoring calls to an interactive voice response (IVR) phone system, and provided participants with periodic personalized feedback. To reduce NIDU among HIV primary care patients, we compared the efficacy of MI+HealthCall to MI-only and an educational control condition.

DESIGN

Participants age >18 with >4days of NIDU during the prior 30days were recruited from large urban HIV primary care clinics. Of the 240 participants, 83 were randomly assigned to control, 77 to MI-only, and 80 to MI+HC. Counselors provided educational control, MI-only or MI+HC at baseline. At 30 and 60days (end-of-treatment), counselors briefly discussed drug use, moods and health behaviors, using HealthCall-generated graphs with MI+HC patients. Primary outcomes (last 30days) were number of days used primary drug (NumDU), and total quantity of primary drug used (dollar amount spent; QuantU), derived from the Time-Line Follow-Back.

FINDINGS

Across all groups, at end-of-treatment, frequency and quantity of NIDU decreased, with significantly greater reductions in the MI-Only group. A twelve-month post-treatment follow-up indicated sustained benefits of MI+HC and MI-only relative to control.

CONCLUSIONS

Brief interventions can be successfully used to reduce non-injection drug use in HIV primary care. IVR-based technology may not be sufficiently engaging to be effective. Future studies should investigate mobile technology to deliver a more engaging version of HealthCall to diverse substance abusing populations.

Automated telephone communication systems for preventive healthcare and management of long-term conditions

BACKGROUND

Automated telephone communication systems (ATCS) can deliver voice messages and collect health-related information from patients using either their telephone's touch-tone keypad or voice recognition software. ATCS can supplement or replace telephone contact between health professionals and patients. There are four different types of ATCS: unidirectional (one-way, non-interactive voice communication), interactive voice response (IVR) systems, ATCS with additional functions such as access to an expert to request advice (ATCS Plus) and multimodal ATCS, where the calls are delivered as part of a multicomponent intervention.

OBJECTIVES

To assess the effects of ATCS for preventing disease and managing long-term conditions on behavioural change, clinical, process, cognitive, patient-centred and adverse outcomes.

SEARCH METHODS

We searched 10 electronic databases (the Cochrane Central Register of Controlled Trials; MEDLINE; Embase; PsycINFO; CINAHL; Global Health; WHOLIS; LILACS; Web of Science; and ASSIA); three grey literature sources (Dissertation Abstracts, Index to Theses, Australasian Digital Theses); and two trial registries (www.controlled-trials.com; www.clinicaltrials.gov) for papers published between 1980 and June 2015.

SELECTION CRITERIA

Randomised, cluster- and quasi-randomised trials, interrupted time series and controlled before-and-after studies comparing ATCS interventions, with any control or another ATCS type were eligible for inclusion. Studies in all settings, for all consumers/carers, in any preventive healthcare or long term condition management role were eligible.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods to select and extract data and to appraise eligible studies.

MAIN RESULTS

We included 132 trials (N = 4,669,689). Studies spanned across several clinical areas, assessing many comparisons based on evaluation of different ATCS types and variable comparison groups. Forty-one studies evaluated ATCS for delivering preventive healthcare, 84 for managing long-term conditions, and seven studies for appointment reminders. We downgraded our certainty in the evidence primarily because of the risk of bias for many outcomes. We judged the risk of bias arising from allocation processes to be low for just over half the studies and unclear for the remainder. We considered most studies to be at unclear risk of performance or detection bias due to blinding, while only 16% of studies were at low risk. We generally judged the risk of bias due to missing data and selective outcome reporting to be unclear.For preventive healthcare, ATCS (ATCS Plus, IVR, unidirectional) probably increase immunisation uptake in children (risk ratio (RR) 1.25, 95% confidence interval (CI) 1.18 to 1.32; 5 studies, N = 10,454; moderate certainty) and to a lesser extent in adolescents (RR 1.06, 95% CI 1.02 to 1.11; 2 studies, N = 5725; moderate certainty). The effects of ATCS in adults are unclear (RR 2.18, 95% CI 0.53 to 9.02; 2 studies, N = 1743; very low certainty).For screening, multimodal ATCS increase uptake of screening for breast cancer (RR 2.17, 95% CI 1.55 to 3.04; 2 studies, N = 462; high certainty) and colorectal cancer (CRC) (RR 2.19, 95% CI 1.88 to 2.55; 3 studies, N = 1013; high certainty) versus usual care. It may also increase osteoporosis screening. ATCS Plus interventions probably slightly increase cervical cancer screening (moderate certainty), but effects on osteoporosis screening are uncertain. IVR systems probably increase CRC screening at 6 months (RR 1.36, 95% CI 1.25 to 1.48; 2 studies, N = 16,915; moderate certainty) but not at 9 to 12 months, with probably little or no effect of IVR (RR 1.05, 95% CI 0.99, 1.11; 2 studies, 2599 participants; moderate certainty) or unidirectional ATCS on breast cancer screening.Appointment reminders delivered through IVR or unidirectional ATCS may improve attendance rates compared with no calls (low certainty). For long-term management, medication or laboratory test adherence provided the most general evidence across conditions (25 studies, data not combined). Multimodal ATCS versus usual care showed conflicting effects (positive and uncertain) on medication adherence. ATCS Plus probably slightly (versus control; moderate certainty) or probably (versus usual care; moderate certainty) improves medication adherence but may have little effect on adherence to tests (versus control). IVR probably slightly improves medication adherence versus control (moderate certainty). Compared with usual care, IVR probably improves test adherence and slightly increases medication adherence up to six months but has little or no effect at longer time points (moderate certainty). Unidirectional ATCS, compared with control, may have little effect or slightly improve medication adherence (low certainty). The evidence suggested little or no consistent effect of any ATCS type on clinical outcomes (blood pressure control, blood lipids, asthma control, therapeutic coverage) related to adherence, but only a small number of studies contributed clinical outcome data.The above results focus on areas with the most general findings across conditions. In condition-specific areas, the effects of ATCS varied, including by the type of ATCS intervention in use.Multimodal ATCS probably decrease both cancer pain and chronic pain as well as depression (moderate certainty), but other ATCS types were less effective. Depending on the type of intervention, ATCS may have small effects on outcomes for physical activity, weight management, alcohol consumption, and diabetes mellitus. ATCS have little or no effect on outcomes related to heart failure, hypertension, mental health or smoking cessation, and there is insufficient evidence to determine their effects for preventing alcohol/substance misuse or managing illicit drug addiction, asthma, chronic obstructive pulmonary disease, HIV/AIDS, hypercholesterolaemia, obstructive sleep apnoea, spinal cord dysfunction or psychological stress in carers.Only four trials (3%) reported adverse events, and it was unclear whether these were related to the interventions.

AUTHORS' CONCLUSIONS

ATCS interventions can change patients' health behaviours, improve clinical outcomes and increase healthcare uptake with positive effects in several important areas including immunisation, screening, appointment attendance, and adherence to medications or tests. The decision to integrate ATCS interventions in routine healthcare delivery should reflect variations in the certainty of the evidence available and the size of effects across different conditions, together with the varied nature of ATCS interventions assessed. Future research should investigate both the content of ATCS interventions and the mode of delivery; users' experiences, particularly with regard to acceptability; and clarify which ATCS types are most effective and cost-effective.

Addressing the intersection between alcohol consumption and antiretroviral treatment: needs assessment and design of interventions for primary healthcare workers, the Western Cape, South Africa

BACKGROUND

At the points where an infectious disease and risk factors for poor health intersect, while health problems may be compounded, there is also an opportunity to provide health services. Where human immunodeficiency virus (HIV) infection and alcohol consumption intersect include infection with HIV, onward transmission of HIV, impact on HIV and acquired immunodeficiency syndrome (AIDS) disease progression, and premature death. The levels of knowledge and attitudes relating to the health and treatment outcomes of HIV and AIDS and the concurrent consumption of alcohol need to be determined. This study aimed to ascertain the knowledge, attitudes and practices of primary healthcare workers concerning the concurrent consumption of alcohol of clinic attendees who are prescribed antiretroviral drugs. An assessment of the exchange of information on the subject between clinic attendees and primary healthcare providers forms an important aspect of the research. A further objective of this study is an assessment of the level of alcohol consumption of people living with HIV and AIDS attending public health facilities in the Western Cape Province in South Africa, to which end, the study reviewed health workers' perceptions of the problem's extent. A final objective is to contribute to the development of evidence-based guidelines for AIDS patients who consume alcohol when on ARVs. The overall study purpose is to optimise antiretroviral health outcomes for all people living with HIV and AIDS, but with specific reference to the clinic attendees studied in this research.

METHODS

Overall the research study utilised mixed methods. Three group-specific questionnaires were administered between September 2013 and May 2014. The resulting qualitative data presented here supplements the results of the quantitative data questionnaires for HIV and AIDS clinic attendees, which have been analysed and written up separately. This arm of the research study comprised two, separate, semi-structured sets of interviews: one face-to-face with healthcare workers at the same primary healthcare clinics from which the clinic attendees were sampled, and the other with administrators from the local government health service via email. The qualitative analysis from the primary healthcare worker interviews has been analysed using thematic content analysis.

RESULTS

The key capacity gaps for nurses include the definition of different patterns and volumes of alcohol consumption, resultant health outcomes and how to answer patient questions on alcohol consumption while on antiretroviral treatment. Not only did the counsellors lack knowledge regarding alcohol abuse and its treatment, but they were also they were unclear on their role and rights in relation to their patients. Doctors highlighted the need for additional training for clinicians in diagnosing alcohol use disorders and information on the pharmacological interventions to treat alcoholism.

CONCLUSION

Pertinent knowledge regarding patient alcohol consumption while taking ARVs needs to be disseminated to primary healthcare workers.

Alcohol Use and Human Immunodeficiency Virus (HIV) Infection: Current Knowledge, Implications, and Future Directions

Alcohol use is common among people living with human immunodeficiency virus (HIV). In this narrative review, we describe literature regarding alcohol's impact on transmission, care, coinfections, and comorbidities that are common among people living with HIV (PLWH), as well as literature regarding interventions to address alcohol use and its influences among PLWH. This narrative review identifies alcohol use as a risk factor for HIV transmission, as well as a factor impacting the clinical manifestations and management of HIV. Alcohol use appears to have additive and potentially synergistic effects on common HIV-related comorbidities. We find that interventions to modify drinking and improve HIV-related risks and outcomes have had limited success to date, and we recommend research in several areas. Consistent with Office of AIDS Research/National Institutes of Health priorities, we suggest research to better understand how and at what levels alcohol influences comorbid conditions among PLWH, to elucidate the mechanisms by which alcohol use is impacting comorbidities, and to understand whether decreases in alcohol use improve HIV-relevant outcomes. This should include studies regarding whether state-of-the-art medications used to treat common coinfections are safe for PLWH who drink alcohol. We recommend that future research among PLWH include validated self-report measures of alcohol use and/or biological measurements, ideally both. Additionally, subgroup variation in associations should be identified to ensure that the risks of particularly vulnerable populations are understood. This body of research should serve as a foundation for a next generation of intervention studies to address alcohol use from transmission to treatment of HIV. Intervention studies should inform implementation efforts to improve provision of alcohol-related interventions and treatments for PLWH in healthcare settings. By making further progress on understanding how alcohol use affects PLWH in the era of HIV as a chronic condition, this research should inform how we can mitigate transmission, achieve viral suppression, and avoid exacerbating common comorbidities of HIV and alcohol use and make progress toward the 90-90-90 goals for engagement in the HIV treatment cascade.

Realising the technological promise of smartphones in addiction research and treatment: An ethical review

BACKGROUND

Smartphone technologies and mHealth applications (or apps) promise unprecedented scope for data collection, treatment intervention, and relapse prevention when used in the field of substance abuse and addiction. This potential also raises new ethical challenges that researchers, clinicians, and software developers must address.

AIMS

This paper aims to identify ethical issues in the current uses of smartphones in addiction research and treatment.

METHODS

A search of three databases (PubMed, Web of Science and PsycInfo) identified 33 studies involving smartphones or mHealth applications for use in the research and treatment of substance abuse and addiction. A content analysis was conducted to identify how smartphones are being used in these fields and to highlight the ethical issues raised by these studies.

RESULTS

Smartphones are being used to collect large amounts of sensitive information, including personal information, geo-location, physiological activity, self-reports of mood and cravings, and the consumption of illicit drugs, alcohol and nicotine. Given that detailed information is being collected about potentially illegal behaviour, we identified the following ethical considerations: protecting user privacy, maximising equity in access, ensuring informed consent, providing participants with adequate clinical resources, communicating clinically relevant results to individuals, and the urgent need to demonstrate evidence of safety and efficacy of the technologies.

CONCLUSIONS

mHealth technology offers the possibility to collect large amounts of valuable personal information that may enhance research and treatment of substance abuse and addiction. To realise this potential researchers, clinicians and app-developers must address these ethical concerns to maximise the benefits and minimise risks of harm to users.

Declining and rebounding unhealthy alcohol consumption during the first year of HIV care in rural Uganda, using phosphatidylethanol to augment self-report

AIMS

We examined whether unhealthy alcohol consumption, which negatively impacts HIV outcomes, changes after HIV care entry overall and by several factors. We also compared using phosphatidylethanol (PEth, an alcohol biomarker) to augment self-report to using self-report alone.

DESIGN

A prospective 1-year observational cohort study with quarterly visits.

SETTING

Large rural HIV clinic in Mbarara, Uganda.

PARTICIPANTS

A total of 208 adults (89 women and 119 men) entering HIV care, reporting any prior year alcohol consumption.

MEASUREMENTS

Unhealthy drinking was PEth+ (≥ 50 ng/ml) or Alcohol Use Disorders Identification Test-Consumption+ (AUDIT-C+, over 3 months, women ≥ 3; men ≥ 4). We calculated adjusted odds ratios (AOR) for unhealthy drinking per month since baseline, and interactions of month since baseline with perceived health, number of HIV symptoms, antiretroviral therapy (ART), gender and self-reported prior unhealthy alcohol use.

FINDINGS

The majority of participants (64%) were unhealthy drinkers (PEth+ or AUDIT-C+) at baseline. There was no significant trend in unhealthy drinking overall [per-month AOR: 1.01; 95% confidence interval (CI) = 0.94-1.07], while the per-month AORs were 0.91 (95% CI = 0.83-1.00) and 1.11 (95% CI = 1.01-1.22) when participants were not yet on ART and on ART, respectively (interaction P-value < 0.01). In contrast, 44% were AUDIT-C+; the per-month AORs for being AUDIT-C+ were 0.89 (95% CI = 0.85-0.95) overall, and 0.84 (95% CI = 0.78-0.91) and 0.97 (95% CI = 0.89-1.05) when participants were not on and were on ART, respectively.

CONCLUSIONS

Unhealthy alcohol use among Ugandan adults entering HIV care declines prior to the start of anti-retroviral therapy but rebounds with time. Augmenting self-reported alcohol use with biomarkers increases the ability of current alcohol use measurements to detect unhealthy alcohol use.

The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature

Background

Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change.

Objective

Our aim was to systematically review the (1) impact of IT platforms used to promote patients’ engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes.

Methods

PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria.

Results

A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170).

Conclusions

In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.

Smartphone applications to reduce alcohol consumption and help patients with alcohol use disorder: a state-of-the-art review

Hazardous drinking and alcohol use disorder (AUD) are substantial contributors to USA and global morbidity and mortality. Patient self-management and continuing care are needed to combat these public health threats. However, services are rarely provided to patients outside of clinic settings or following brief intervention. Smartphone applications (“apps”) may help narrow the divide between traditional health care and patient needs. The purpose of this review is to identify and summarize smartphone apps to reduce alcohol consumption or treat AUD that have been evaluated for feasibility, acceptability, and/or efficacy. We searched two research databases for peer-reviewed journal articles published in English that evaluated smartphone apps to decrease alcohol consumption or treat AUD. We identified six apps. Two of these apps (A-CHESS and LBMI-A) promoted self-reported reductions in alcohol use, two (Promillekoll and PartyPlanner) failed to promote self-reported reductions in alcohol use, and two (HealthCall-S and Chimpshop) require further evaluation and testing before any conclusions regarding efficacy can be made. In summary, few evaluations of smartphone apps to reduce alcohol consumption or treat AUD have been reported in the scientific literature. Although advances in smartphone technology hold promise for disseminating interventions among hazardous drinkers and individuals with AUD, more systematic evaluations are necessary to ensure that smartphone apps are clinically useful.

Use of Technology to Address Substance Use in the Context of HIV: A Systematic Review

Substance users are at elevated risk for HIV. HIV researchers, particularly at the intersection of HIV and substance use, have requested new methods to better understand and address this important area. New technologies, such as social media and mobile applications, are increasingly being used as research tools in studies on HIV and substance use. These technologies have the potential to build on existing recruitment methods, provide new and improved intervention methods, and introduce novel ways of monitoring and predicting new HIV cases. However, little work has been done to review and broadly explore the types of studies being conducted on the use of technologies to address HIV and substance use. This systematic literature review identified studies on this topic between 2005 and 2015. We identified 33 studies on this topic after excluding studies that did not fit inclusion criteria. Studies were either observational (n = 24) or interventional (n = 9), with the majority being pilot studies exploring the feasibility of using these new technologies to study HIV and substance use. We discuss the implications of this work along with limitations and recommendations for future research on this topic.

Using e-technologies in clinical trials

Clinical trials have been slow to incorporate e-technology (digital and electronic technology that utilizes mobile devices or the Internet) into the design and execution of studies. In the meantime, individuals and corporations are relying more on electronic platforms and most have incorporated such technology into their daily lives. This paper provides a general overview of the use of e-technologies in clinical trials research, specifically within the last decade, marked by rapid growth of mobile and Internet-based tools. Benefits of and challenges to the use of e-technologies in data collection, recruitment and retention, delivery of interventions, and dissemination are provided, as well as a description of the current status of regulatory oversight of e-technologies in clinical trials research. As an example of ways in which e-technologies can be used for intervention delivery, a summary of e-technologies for treatment of substance use disorders is presented. Using e-technologies to design and implement clinical trials has the potential to reach a wide audience, making trials more efficient while also reducing costs; however, researchers should be cautious when adopting these tools given the many challenges in using new technologies, as well as threats to participant privacy/confidentiality. Challenges of using e-technologies can be overcome with careful planning, useful partnerships, and forethought. The role of web- and smartphone-based applications is expanding, and the increasing use of those platforms by scientists and the public alike make them tools that cannot be ignored.

The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): reliability of substance use and psychiatric disorder modules in a general population sample

BACKGROUND

The purpose of this study was to assess the test-retest reliability of substance use disorder and psychiatric modules in the Alcohol Use Disorder and Associated Disabilities Interview Schedule, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Version (AUDADIS-5).

METHODS

Kappa and intraclass correlation coefficients were calculated for DSM-5 substance use and psychiatric disorder diagnoses and dimensional criteria scales using a test-retest design among 1006 respondents drawn from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III).

RESULTS

Reliabilities of substance use disorder diagnoses and associated criteria scales were generally good to excellent, while reliabilities for mood, anxiety and trauma and stress-related disorders and associated scales were generally in the fair to good range.

CONCLUSIONS

The observed reliability of the DSM-5 diagnoses and dimensional scales for the substance use and psychiatric disorders found in this study indicates that the AUDADIS-5 can be a useful tool in various research settings, particularly in studies of the general population, the target population for which it was designed.