Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence

Predicting high-risk periods for weight regain following initial weight loss

OBJECTIVE

The aim of this study was to develop a predictive algorithm of "high-risk" periods for weight regain after weight loss.

METHODS

Longitudinal mixed-effects models and random forest regression were used to select predictors and develop an algorithm to predict weight regain on a week-to-week basis, using weekly questionnaire and self-monitoring data (including daily e-scale data) collected over 40 weeks from 46 adults who lost ≥5% of baseline weight during an initial 12-week intervention (Study 1). The algorithm was evaluated in 22 adults who completed the same Study 1 intervention but lost <5% of baseline weight and in 30 adults recruited for a separate 30-week study (Study 2).

RESULTS

The final algorithm retained the frequency of self-monitoring caloric intake and weight plus self-report ratings of hunger and the importance of weight-management goals compared with competing life demands. In the initial training data set, the algorithm predicted weight regain the following week with a sensitivity of 75.6% and a specificity of 45.8%; performance was similar (sensitivity: 81%-82%, specificity: 30%-33%) in testing data sets.

CONCLUSIONS

Weight regain can be predicted on a proximal, week-to-week level. Future work should investigate the clinical utility of adaptive interventions for weight-loss maintenance and develop more sophisticated predictive models of weight regain.

Applying concepts from "rapid" and "agile" implementation to advance implementation research

Background

The translation of research findings into practice can be improved to maximize benefits more quickly and with greater flexibility. To expedite translation, researchers have developed innovative approaches to implementation branded as “rapid” and “agile” implementation. Rapid implementation has roots in precision medicine and agile implementation has roots in systems engineering and software design. Research has shown that innovation often derives from learning and applying ideas that have impacted other fields.

Implications for implementation researchers

This commentary examines “rapid” and “agile” approaches to implementation and provides recommendations to implementation researchers stemming from these approaches. Four key ideas are synthesized that may be broadly applicable to implementation research, including (1) adopting a problem orientation, (2) applying lessons from behavioral economics, (3) using adaptive study designs and adaptive interventions, and (4) using multi-level models to guide implementation. Examples are highlighted from the field where researchers are applying these key ideas to illustrate their potential impact.

Conclusions

“Rapid” and “agile” implementation approaches to implementation stem from diverse fields. Elements of these approaches show potential for advancing implementation research, although adopting them may entail shifting scientific norms in the field.

A Review of Digital Interventions to Decrease Cannabis Use Among Patients With Comorbid Psychiatric Disorders

OBJECTIVE

Cannabis use disorder (CUD) is associated with an elevated risk for psychiatric disorders and symptoms, contributing to poor health outcomes and increased medical costs. Unfortunately, interventions that simultaneously address cannabis use and co-occurring psychiatric disorders are limited in availability. Targeted digital interventions to reduce cannabis use could be beneficial for patients with psychiatric disorders. Digital interventions could be easily disseminated and used in numerous clinical locations, including outpatient, inpatient, residential, and community psychiatric treatment settings.

METHODS

Literature on digital cannabis reduction interventions for persons with psychiatric disorders was examined between April 2021 and June 2021. Articles were obtained from PubMed and PsycINFO databases. English language randomized controlled trials (RCT), feasibility and acceptability studies, pilot studies, and published protocols were included.

RESULTS

There is significant evidence that digital interventions can effectively reduce cannabis use in general, non-clinical populations. However, there is less literature examining interventions for persons living with co-occurring psychiatric illness-most of which is tailored to patients living with chronic psychosis.

CONCLUSIONS

There is great need for accessible and tailored digital interventions for co-occurring CUD and psychiatric disorders.

Digital Capacity and Interest in mHealth Interventions Among Individuals on Opioid Agonist Maintenance Treatment: A Cross-Sectional Community-Based Study

BACKGROUND

Integrating mobile technologies in healthcare (mHealth) is helpful to manage various medical conditions. mHealth applications can bridge the gap in the management of patients with opioid use disorder (OUD). Research evaluating the feasibility of mHealth to address OUD is limited in developing countries. We aimed to assess the digital capacity and interest in mHealth interventions in patients maintained on opioid agonist treatment (OAT).

METHODS

150 patients on OAT from a community drug treatment clinic in New Delhi, India, were included. We assessed the participants on their pattern of mobile and Internet use and their willingness to use mHealth technology to access health information and services related to OUD.

RESULTS

88% of participants (n = 132) owned a mobile phone at assessment; 2.7% (n = 4) had never used a mobile phone in their lifetime. 70% (n = 105) participants had Internet access. 80% (n = 120) of participants showed interest in receiving text messages related to the management of OUD. 60% of participants showed a willingness to download and use applications for monitoring their substance use.

CONCLUSIONS

In India, there is an interest among people on OAT to use mHealth interventions to manage their substance use. This population also has access to mobile phones and the necessary knowledge to install and run applications needed for various mHealth interventions.

Efficacy and comparative effectiveness of telephone and smartphone remote continuing care interventions for alcohol use disorder: a randomized controlled trial

BACKGROUND AND AIMS

Management of alcohol use disorder (AUD) could be enhanced by effective remote treatments. This study tested whether supplementing intensive outpatient programs (IOPs) with continuing care delivered via (1) telephone, (2) smartphone or (3) their combination improves outcomes relative to (4) IOP only. Continuing care conditions were also compared.

DESIGN

Randomized controlled trial of four groups with 3-, 6-, 9-, 12- and 18-month follow-ups.

SETTING

University research center in Philadelphia, PA, USA.

PARTICIPANTS

Participants (n = 262) met DSM-V criteria for AUD, were largely male (71%) and African American (82%).

INTERVENTIONS AND COMPARATOR

Telephone monitoring and counseling (TMC; n = 59), addiction comprehensive health enhancement support system (ACHESS; n = 68) and TMC + ACHESS (n = 70) provided for 12 months. The control condition received IOP only (TAU; n = 65).

MEASUREMENT

The primary outcome was percentage of days heavy drinking (PDHD) in months 1-12. Secondary outcomes were any drinking, any drug use, drinking consequences and quality of life.

FINDINGS

Mean PDHD in months 1-12 was 10.29 in TAU, 5.41 in TMC, 6.80 in ACHESS and 5.99 in TMC + ACHESS. PDHD was lower in TMC [Cohen's d = 0.35, P = 0.018, 95% confidence interval (CI) = (-1.42, -0.20)], ACHESS [d = 0.31, P = 0.031, 95% CI = (-1.27, -0.06)] and TMC + ACHESS [d = 0.36, P = 0.009, 95% CI = (-1.40, -0.20)] than in TAU. Differences between TMC + ACHESS, TMC and ACHESS were small (d ≤ 0.06) and non-significant. Findings were inconclusive as to whether or not the treatment conditions differed on PDHD at 18 months. A significant effect was obtained on any drinking, which was higher in months 1-12 in TAU than in TMC [odds ratio (OR) = 3.02, standard error (SE) = 0.43, 95% CI = (1.30, 6.99), P = 0.01] and TMC + ACHESS [OR = 2.43, SE = 0.39, 95% CI = (1.12, 5.27), P = 0.025). No other significant effects were obtained on other secondary outcomes during or after treatment.

CONCLUSIONS

A telephone-delivered intervention and a smartphone-delivered intervention, alone and in combination, provided effective remote continuing care for alcohol use disorder. The combination of both interventions was not superior to either alone and effects did not persist post-treatment.

Intraindividual, Dyadic, and Network Communication in a Digital Health Intervention: Distinguishing Message Exposure from Message Production

Communicating within digital health interventions involves a range of behaviors that may contribute to the management of chronic illnesses in different ways. This study examines whether communication within a smartphone-based application for addiction recovery produces distinct effects depending on 1) the "level" of communication, defined as intraindividual communication (e.g., journal entries to oneself); dyadic communication (e.g., private messaging to other individuals); or network communication (e.g., discussion forum posts to all group members), and 2) whether individuals produce or are exposed to messages. We operationalize these communication levels and behaviors based on system use logs as the number of clicks dedicated to each activity and assess how each category of system use relates to changes in group bonding and substance use after 6 months with the mobile intervention. Our findings show that (1) intraindividual exposure to one's own past posts marginally predicts decreased drug use; (2) dyadic production predicts greater perceived bonding; while dyadic exposure marginally predicts reduced drug use; (3) network production predicts decreased risky drinking. Implications for digital health interventions are discussed.

Mobile application recovery support for patients with an alcohol use disorder. Acceptance, usability, and perceived helpfulness

The aim of this study was to qualitatively explore the experiences of patients of abstinence-oriented treatment programs, who were using a mobile application (mWSPARCIE) after completing a 6-week inpatient treatment program, and to assess its role as a tool supporting the process of recovery initiated in the treatment facility.

Telephone in-depth interviews were conducted after six months of application use among a convenience sample of former patients of the inpatient treatment (n = 33). Transcriptions of the interviews were analyzed and coded sentence-by-sentence. The coding procedure allowed researchers to establish the main analytical categories.

Most respondents did not install the application or did not use it despite installing it, due to individual preferences and needs as well as to technical limitations. However, two thirds of the respondents who downloaded the application, used it on a regular basis, and four out of five considered it helpful in their recovery process. The application was used primarily for self-observation, allowing subjects to monitor their abstinence as well as the frequency and intensity of their alcohol craving.

Acceptance of mHealth is low among patients of abstinence-oriented treatment programs. Therefore, this is clearly not a solution for all patients, because of individual preferences and needs as well as technical and financial barriers. However for those who use it, the tested application was an attractive source of additional support, a tool to maintain the motivation to change and to monitor abstinence and craving during the six months following their completion of treatment.

Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

BACKGROUND

Successful long-term recovery from opioid use disorder (OUD) requires continuous lapse risk monitoring and appropriate use and adaptation of recovery-supportive behaviors as lapse risk changes. Available treatments often fail to support long-term recovery by failing to account for the dynamic nature of long-term recovery.

OBJECTIVE

The aim of this protocol paper is to describe research that aims to develop a highly contextualized lapse risk prediction model that forecasts the ongoing probability of lapse.

METHODS

The participants will include 480 US adults in their first year of recovery from OUD. Participants will report lapses and provide data relevant to lapse risk for a year with a digital therapeutic smartphone app through both self-report and passive personal sensing methods (eg, cellular communications and geolocation). The lapse risk prediction model will be developed using contemporary rigorous machine learning methods that optimize prediction in new data.

RESULTS

The National Institute of Drug Abuse funded this project (R01DA047315) on July 18, 2019 with a funding period from August 1, 2019 to June 30, 2024. The University of Wisconsin-Madison Health Sciences Institutional Review Board approved this project on July 9, 2019. Pilot enrollment began on April 16, 2021. Full enrollment began in September 2021.

CONCLUSIONS

The model that will be developed in this project could support long-term recovery from OUD-for example, by enabling just-in-time interventions within digital therapeutics.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/29563.

Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review

A just-in-time, adaptive intervention (JITAI) is an emerging type of intervention that provides tailored support at the exact time of need. It does so using enabling new technologies (e.g., mobile phones, sensors) that capture the changing states of individuals. Extracting effect sizes of primary outcomes produced by 33 empirical studies that used JITAIs, we found moderate to large effect sizes of JITAI treatments compared to (1) waitlist-control conditions (k = 9), Hedges's g = 1.65 and (2) non-JITAI treatments (k = 21), g = 0.89. Also, participants of JITAI interventions showed significant changes (k = 13) in the positive direction (g = 0.79). A series of sensitivity tests suggested that those effects persist. Those effects also persist despite differences in the behaviors of interests (e.g., blood glucose control, recovering alcoholics), duration of the treatments, and participants' age. Two aspects of tailoring, namely: (1) tailoring to what (i.e., both people's previous behavioral patterns and their current need states; with these effects additive) and (2) approach to tailoring (i.e., both using a human agent and an algorithm to decide tailored feedback; with these effects additive), are significantly associated with greater JITAI efficacy.

Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial

BACKGROUND

Drink Less is a behavior change app that aims to help users in the general adult population reduce hazardous and harmful alcohol consumption. The app includes a daily push notification, delivered at 11 am, asking users to "Please complete your mood and drinking diaries." Previous analysis of Drink Less engagement data suggests the current notification strongly influences how users engage with the app in the subsequent hour. To exploit a potential increase of vulnerability of excess drinking and opportunity to engage with the app in the evenings, we changed the delivery time from 11 am to 8 pm. We now aim to further optimise the content and sequence of notifications, testing 30 new evidence-informed notifications targeting the user's perceived usefulness of the app.

OBJECTIVE

The primary objective is to assess whether sending a notification at 8 pm increases behavioral engagement (opening the app) in the subsequent hour. Secondary objectives include comparing the effect of the new bank of messages with the standard message and effect moderation over time. We also aim to more generally understand the role notifications have on the overall duration, depth, and frequency of engagement with Drink Less over the first 30 days after download.

METHODS

This is a protocol for a micro-randomized trial with two additional parallel arms. Inclusion criteria are Drink Less users who (1) consent to participate in the trial; (2) self-report a baseline Alcohol Use Disorders Identification Test score of 8 or above; (3) reside in the United Kingdom; (4) age ≥18 years and; (5) report interest in drinking less alcohol. In the micro-randomized trial, participants will be randomized daily at 8 pm to receive no notification, a notification with text from the new message bank, or the standard message. The primary outcome is the time-varying, binary outcome of "Did the user open the app in the hour from 8 pm to 9 pm?". The primary analysis will estimate the marginal relative risk for the notifications using an estimator developed for micro-randomized trials with binary outcomes. Participants randomized to the parallel arms will receive no notifications (Secondary Arm A), or the standard notification delivered daily at 11 am (Secondary Arm B) over 30 days, allowing the comparison of overall engagement between different notification delivery strategies.

RESULTS

Approval was granted by the University College of London's Departmental Research Ethics Committee (CEHP/2016/556) on October 11, 2019, and The London School of Hygiene and Tropical Medicine Interventions Research Ethics Committee (17929) on November 27, 2019. Recruitment began on January 2, 2020, and is ongoing.

CONCLUSIONS

Understanding how push notifications may impact engagement with a behavior change app can lead to further improvements in engagement, and ultimately help users reduce their alcohol consumption. This understanding may also be generalizable to other apps that target a variety of behavior changes.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/18690.

A smartphone-based support group for alcoholism: Effects of giving and receiving emotional support on coping self-efficacy and risky drinking

The purpose of this study was to investigate the nature and effects of exchanging emotional support via a smartphone-based support group for patients with alcohol dependence. Of the 349 patients who met the Diagnostic and Statistical Manual of Mental Disorders (4th ed.) criteria for alcohol dependence, 153 patients participated in the discussion group within the Addiction-Comprehensive Health Enhancement Support System, a smartphone application aimed at reducing relapse. This was developed to prevent problem drinking by offering individuals in recovery for alcohol dependence automated 24/7 recovery support services and frequent assessment of their symptom status as part of their addiction care. The results showed that receiving emotional support from health care providers improved coping self-efficacy. Giving emotional support and receiving emotional support from health care providers acted as a buffer, protecting patients from the harmful effects of emotional distress on risky drinking. Clinicians and researchers should use the features of smartphone-based support groups to reach out to alcoholic patients in need and encourage them to participate in the exchange of emotional support with others.

Ecological momentary assessment studies of comorbid PTSD and alcohol use: A narrative review

INTRODUCTION

PTSD and harmful alcohol use, including alcohol use disorder (AUD), frequently co-occur. Recent research has used ecological momentary assessment (EMA) to examine the associations between PTSD symptoms and alcohol-related variables, such as craving for alcohol, alcohol use, and the presence of alcohol-related problems. The overall purpose of this narrative review is to summarize this emerging literature.

METHODS

Inclusion criteria for studies were: 1) Use of ecological momentary assessment as the method for gathering data on alcohol use and/or craving in populations with both problematic alcohol use and PTSD, and the inclusion of an assessment of both PTSD symptoms and at least one alcohol use variable during EMA; and 2) At screening, participants were required to meet study criteria for a) elevated PTSD symptoms or trauma exposure, and b) alcohol use.

RESULTS

The pertinent extant literature is reviewed in terms of four underlying themes: Methodological considerations of EMA research in a population with PTSD symptoms and harmful alcohol use; Associations between PTSD symptoms and alcohol use variable/s; Moderators of PTSD-alcohol use associations; Mediators of PTSD-alcohol use associations.

CONCLUSIONS

Collectively, studies provide support for the self-medication hypothesis. Several variables were found to moderate association between PTSD symptoms and alcohol-related variables. EMA data may ultimately be useful in identifying when individuals are at risk for harm due to increased symptoms or alcohol misuse and may inform treatment approaches administered remotely.

Patterns of Cannabis Consumption, Social Networks, and Foraging

This study considered contextual factors (i.e., times, places, peers) associated with cannabis use. A total of 153 participants answered an anonymous online survey, completed the Cannabis Use Disorders Identification Test – Revised (CUDIT-R), and indicated their numbers of regular smoking partners, and times and places cannabis was normally purchased. Recent cannabis smokers had higher CUDIT-R scores and purchased cannabis from more places more often. Multiple regression considered subscales of the CUDIT-R. Greater cannabis consumption was associated with more smoking partners and purchases of cannabis at more times and places. Cannabis dependence was associated with cannabis purchases from more places and times and reports that there were more people prepared to do them favors. Harmful use was associated with more purchases at more locations. Patterns of cannabis foraging were compared with foraging behaviors previously observed for caffeine, nicotine, and alcohol. The data could inform the development and use of social media and location-aware services seeking to target risky substance use.

The utility and impact of the addiction comprehensive health enhancement support system (ACHESS) on substance abuse treatment adherence among youth in an intensive outpatient program

Youth experiencing substance use disorders often are susceptible to relapse because traditional support systems can be expensive, geographically dispersed, operated on limited schedules and lacking in peer support. The continuity of care offered via the digital Addiction Comprehensive Health Enhancement Support System (ACHESS) system holds promise in preventing relapse because of its portability and capability to foster virtually anytime/anywhere, cost-effective access to supportive interventions. The aim of this mixed-methods study was to evaluate the utility and impact of ACHESS on treatment adherence among youth with substance use disorders in an intensive outpatient program in the US Midwest. Data on 28 clients using ACHESS during 2016-17 were compared to retrospective data on 28 carefully-matched others treated without ACHESS during 2014-16. Fifty-four percent of the study group successfully completed treatment as opposed to 42.9% of those in the comparison group. Staff focus group findings highlighted how some features of ACHESS were effectively integrated into the care model and appeared to positively impact outcomes, while other elements of the application offered little utility. We suggest further study of ACHESS among larger samples of youth with substance use disorders in intensive outpatient programs to assess its efficacy in supporting adherence to treatment.

Using Smartphones to Improve Treatment Retention Among Impoverished Substance-Using Appalachian Women: A Naturalistic Study

Objectives:

Longer retention in treatment is associated with positive outcomes. For women, who suffer worse drug-related problems than men, social technologies, which are more readily adopted by women, may offer promise. This naturalistic study examined whether a smartphone-based relapse-prevention system, A-CHESS (Addiction-Comprehensive Health Enhancement Support System), could improve retention for women with substance use disorders in an impoverished rural setting.

Methods:

A total of 98 women, age 18 to 40, in southeastern Kentucky and mandated to treatment, received A-CHESS with intensive outpatient treatment for 6 months. For comparison, data were obtained for a similar but non-equivalent group of 100 same-age women also mandated to treatment in the same clinics during the period. Electronic medical record data on length-of-stay and treatment service use for both groups were analyzed, with A-CHESS use data, to determine whether those using A-CHESS showed better retention than those without.

Results:

Women with A-CHESS averaged 780 service units compared with 343 for the comparison group. For those with discharge dates prior to the study’s end, A-CHESS patients stayed in treatment a mean of 410 vs 262 days for the comparison group.

Conclusions:

Given associations between retention and positive outcomes, mobile health technology such as A-CHESS may help improve outcomes among women, especially in settings where access to in-person services is difficult. The findings, based on a non-equivalent comparison, suggest the need for further exploration with rigorous experimental designs to determine whether and to what degree access to a smartphone with A-CHESS may extend and support recovery for women.

An Outcome Study of the CASA-CHESS Smartphone Relapse Prevention Tool for Latinx Spanish-Speakers with Substance Use Disorders

Background: Hispanic/Latinx persons with alcohol and other drug disorders (AOD) have limited access to culturally competent continuity of care. To address this, the evidence-based smartphone recovery application Addiction-Comprehensive Health Enhancement Support System (A-CHESS) was translated and adapted for Latinx Spanish-speakers with AOD, developing CASA-CHESS. Objectives: This study examined the AOD and mental health outcomes for Latinx Spanish-speaking clients using the CASA-CHESS smartphone tool over a 6-month period, post-residential treatment. This single group, pre-post study design included seventy-nine male and female Spanish-speaking Latinx clients, equipped with CASA-CHESS as they completed residential AOD treatment. Primary outcome measures at baseline and 6-month follow-up included substance use and other mental health symptoms. Results: While over 70% of the sample reported past heroin use and alcohol use, clients had low baseline rates of substance use, depression and anxiety and elevated social support scores as they graduated from residential treatment. Overall participants maintained their relatively low baseline rates during the 6-month post-residential period while using the CASA-CHESS relapse prevention tool. Those who discontinued using CASA-CHESS within the first 4 months after leaving residential treatment reported higher rates of substance use as well as anxiety and depression symptoms than those using it for 4 or more months, suggesting that continued use of CASA-CHESS may contribute to maintenance of successes gained in treatment. Conclusions/Importance: CASA-CHESS may reduce the risk of relapse for Latinx Spanish-speakers following residential services and extend needed access to culturally and linguistically competent aftercare services for those with AOD.

Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research

Whereas substance-use researchers have long combined self-report with objective measures of behavior and physiology inside the laboratory, developments in mobile/wearable electronic technology are increasingly allowing for the collection of both subjective and objective information in participants' daily lives. For self-report, ecological momentary assessment (EMA), as implemented on contemporary smartphones or personal digital assistants, can provide researchers with near-real-time information on participants' behavior and mood in their natural environments. Data from portable/wearable electronic sensors measuring participants' internal and external environments can be combined with EMA (e.g., by timestamps recorded on questionnaires) to provide objective information useful in determining the momentary context of behavior and mood and/or validating participants' self-reports. Here, we review three objective ambulatory monitoring techniques that have been combined with EMA, with a focus on detecting drug use and/or measuring the behavioral or physiological correlates of mental events (i.e., emotions, cognitions): (1) collection and processing of biological samples in the field to measure drug use or participants' physiological activity (e.g., hypothalamic-pituitary-adrenal axis activity); (2) global positioning system (GPS) location information to link environmental characteristics (disorder/disadvantage, retail drug outlets) to drug use and affect; (3) ambulatory electronic physiological monitoring (e.g., electrocardiography) to detect drug use and mental events, as advances in machine learning algorithms make it possible to distinguish target changes from confounds (e.g., physical activity). Finally, we consider several other mobile/wearable technologies that hold promise to be combined with EMA, as well as potential challenges faced by researchers working with multiple mobile/wearable technologies simultaneously in the field.

Engagement features judged by excessive drinkers as most important to include in smartphone applications for alcohol reduction: A mixed-methods study

Objective

Engagement with smartphone applications (apps) for alcohol reduction is necessary for their effectiveness. This study explored (1) the features that are ranked as most important for engagement by excessive drinkers and (2) why particular features are judged to be more important for engagement than others.

Methods

Two studies were conducted in parallel. The first was a focus group study with adult excessive drinkers, interested in reducing alcohol consumption using an app (n_groups = 3). Participants individually ranked their top 10 features from a pre-specified list and subsequently discussed their rankings. The second was an online study with a new sample (n = 132). Rankings were analysed using the intraclass correlation coefficient (ICC) to assess the level of agreement between raters for each study. Qualitative data were analysed using inductive thematic analysis.

Results

There was low agreement between participants in their rankings, both in the focus groups (ICC = 0.15, 95% confidence interval (CI) = 0.03–0.38) and the online sample (ICC = 0.11, 95% CI = 0.06–0.23). ‘Personalisation’, ‘control features’ and ‘interactive features’ were most highly ranked in the focus groups. These were expected to elicit a sense of benefit and usefulness, adaptability, provide motivational support or spark users’ interest. Results from the online study partly corroborated these findings.

Conclusion

There was little agreement between participants, but on average, the features judged to be most important for inclusion in smartphone apps for alcohol reduction were personalisation, interactive features and control features. Tailoring on users’ underlying psychological needs may promote engagement with alcohol reduction apps.

Technology-Based Interventions for Substance Use and Comorbid Disorders: An Examination of the Emerging Literature

Among individuals with substance use disorders (SUDs), comorbidity with other psychiatric disorders is common and often noted as the rule rather than the exception. Standard care that provides integrated treatment for comorbid diagnoses simultaneously has been shown to be effective. Technology-based interventions (TBIs) have the potential to provide a cost-effective platform for, and greater accessibility to, integrated treatments. For the purposes of this review, we defined TBIs as interventions in which the primary targeted aim was delivered by automated computer, Internet, or mobile system with minimal to no live therapist involvement. A search of the literature identified nine distinct TBIs for SUDs and comorbid disorders. An examination of this limited research showed promise, particularly for TBIs that address problematic alcohol use, depression, or anxiety. Additional randomized, controlled trials of TBIs for comorbid SUDs and for anxiety and depression are needed, as is future research developing TBIs that address SUDs and comorbid eating disorders and psychotic disorders. Ways of leveraging the full capabilities of what technology can offer should also be further explored.

Effects of automated smartphone mobile recovery support and telephone continuing care in the treatment of alcohol use disorder: study protocol for a randomized controlled trial

Background

New smartphone communication technology provides a novel way to provide personalized continuing care support following alcohol treatment. One such system is the Addiction version of the Comprehensive Health Enhancement Support System (A-CHESS), which provides a range of automated functions that support patients. A-CHESS improved drinking outcomes over standard continuing care when provided to patients leaving inpatient treatment. Effective continuing care can also be delivered via telephone calls with a counselor. Telephone Monitoring and Counseling (TMC) has demonstrated efficacy in two randomized trials with alcohol-dependent patients. A-CHESS and TMC have complementary strengths. A-CHESS provides automated 24/7 recovery support services and frequent assessment of symptoms and status, but does not involve regular contact with a counselor. TMC provides regular and sustained contact with the same counselor, but no ongoing support between calls. The future of continuing care for alcohol use disorders is likely to involve automated mobile technology and counselor contact, but little is known about how best to integrate these services.

Methods/Design

To address this question, the study will feature a 2 × 2 design (A-CHESS for 12 months [yes/no] × TMC for 12 months [yes/no]), in which 280 alcohol-dependent patients in intensive outpatient programs (IOPs) will be randomized to one of the four conditions and followed for 18 months. We will determine whether adding TMC to A-CHESS produces fewer heavy drinking days than TMC or A-CHESS alone and test for TMC and A-CHESS main effects. We will determine the costs of each of the four conditions and the incremental cost-effectiveness of the three active conditions. Analyses will also examine secondary outcomes, including a biological measure of alcohol use, and hypothesized moderation and mediation effects.

Discussion

The results of the study will yield important information on improving patient alcohol use outcomes by integrating mobile automated recovery support and counselor contact.

Trial registration

ClinicalTrials.gov, NCT02681406. Registered on 2 September 2016.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-2466-1) contains supplementary material, which is available to authorized users.

Informational Videos About Alcohol Use: Feasibility and Acceptability

BACKGROUND

An estimated 15.1 million adults ages 18 years and older are classified with an alcohol use disorder, which includes 9.8 million men and 5.3 million women. A brief intervention is indicated for those identified to be at risk because of alcohol use.

OBJECTIVE

To determine the feasibility and acceptability of informational videos about alcohol use.

DESIGN

This feasibility study provided participants with the opportunity to choose one of two videos, Alcohol and the Brain or Rethinking Drinking. An online survey was administered to all study participants to identify alcohol-related risk, readiness to decrease use, and knowledge pertaining to alcohol use.

RESULTS

The two videos provided in this study were feasibly delivered in an on-line format to 129 adults, including 115 males and 5 females identified to be at risk. Knowledge scores increased only slightly. There were mixed results for the readiness scores.

CONCLUSIONS

Future research should examine the efficacy of these two alcohol brief interventions on alcohol-related outcomes.

e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors

BACKGROUND

New technologies can profoundly change the way we understand psychiatric pathologies and addictive disorders. New concepts are emerging with the development of more accurate means of collecting live data, computerized questionnaires, and the use of passive data. Digital phenotyping, a paradigmatic example, refers to the use of computerized measurement tools to capture the characteristics of different psychiatric disorders. Similarly, machine learning-a form of artificial intelligence-can improve the classification of patients based on patterns that clinicians have not always considered in the past. Remote or automated interventions (web-based or smartphone-based apps), as well as virtual reality and neurofeedback, are already available or under development.

OBJECTIVE

These recent changes have the potential to disrupt practices, as well as practitioners' beliefs, ethics and representations, and may even call into question their professional culture. However, the impact of new technologies on health professionals' practice in addictive disorder care has yet to be determined. In the present paper, we therefore present an overview of new technology in the field of addiction medicine.

METHOD

Using the keywords [e-health], [m-health], [computer], [mobile], [smartphone], [wearable], [digital], [machine learning], [ecological momentary assessment], [biofeedback] and [virtual reality], we searched the PubMed database for the most representative articles in the field of assessment and interventions in substance use disorders.

RESULTS

We screened 595 abstracts and analyzed 92 articles, dividing them into seven categories: e-health program and web-based interventions, machine learning, computerized adaptive testing, wearable devices and digital phenotyping, ecological momentary assessment, biofeedback, and virtual reality.

CONCLUSION

This overview shows that new technologies can improve assessment and interventions in the field of addictive disorders. The precise role of connected devices, artificial intelligence and remote monitoring remains to be defined. If they are to be used effectively, these tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and other health professionals is essential to their design and assessment.

Cognitive behavioral interventions for alcohol and drug use disorders: Through the stage model and back again

Cognitive-behavioral therapy (CBT) approaches have among the highest level of empirical support for the treatment of drug and alcohol use disorders. As Psychology of Addictive Behaviors marks its 30th anniversary, we review the evolution of CBT for the addictions through the lens of the Stage Model of Behavioral Therapies Development. The large evidence base from Stage II randomized clinical trials indicates a modest effect size with evidence of relatively durable effects, but limited diffusion in clinical practice, as is the case for most empirically validated approaches for mental health and addictive disorders. Technology may provide a means for CBT interventions to circumvent the "implementation cliff" in Stages III-V by offering a flexible, low-cost, standardized means of disseminating CBT in a range of novel settings and populations. Moreover, returning to Stage I to reconnect clinical applications of CBT to recent developments in cognitive science and neuroscience holds great promise for accelerating understanding of mechanisms of action. It is critical that CBT not be considered as a static intervention, but rather 1 that constantly evolves and is refined through the stage model until the field achieves a maximally powerful intervention that addresses core features of the addictions. (PsycINFO Database Record

Breast Cancer Survivors' Contribution to Psychosocial Adjustment of Newly Diagnosed Breast Cancer Patients in a Computer-Mediated Social Support Group

This study investigated the role of breast cancer survivors in a computer-mediated social support (CMSS) group for women with breast cancer. Applying a computer-aided content analytic method, the present study examined the differences in support provision between survivors and newly diagnosed patients. This study further investigated the impacts of survivor-provided social support on psychosocial adjustment of newly diagnosed patients. The results revealed that, compared with newly diagnosed patients, breast cancer survivors provided more emotional and informational support. Receiving emotional support from survivors contributed to an improvement in the quality of life and the depression of patients. The effects of survivor-provided informational support were not significant.

The Effect of the Psychiatric Nursing Approach Based on the Tidal Model on Coping and Self-esteem in People with Alcohol Dependency: A Randomized Trial

INTRODUCTION

People with alcohol dependency have lower self-esteem than controls and when their alcohol use increases, their self-esteem decreases. Coping skills in alcohol related issues are predicted to reduce vulnerability to relapse. It is important to adapt care to individual needs so as to prevent a return to the cycle of alcohol use. The Tidal Model focuses on providing support and services to people who need to live a constructive life.

AIM

The aim of the randomized study was to determine the effect of the psychiatric nursing approach based on the Tidal Model on coping and self-esteem in people with alcohol dependency.

METHOD

The study was semi-experimental in design with a control group, and was conducted on 36 individuals (18 experimental, 18 control). An experimental and a control group were formed by assigning persons to each group using the stratified randomization technique in the order in which they were admitted to hospital. The Coping Inventory (COPE) and the Coopersmith Self-Esteem Inventory (CSEI) were used as measurement instruments. The measurement instruments were applied before the application and three months after the application. In addition to routine treatment and follow-up, the psychiatric nursing approach based on the Tidal Model was applied to the experimental group in the One-to-One Sessions.

RESULTS

The psychiatric nursing approach based on the Tidal Model is an approach which is effective in increasing the scores of people with alcohol dependency in positive reinterpretation and growth, active coping, restraint, emotional social support and planning and reducing their scores in behavioral disengagement. It was seen that self-esteem rose, but the difference from the control group did not reach significance.

DISCUSSION

The psychiatric nursing approach based on the Tidal Model has an effect on people with alcohol dependency in maintaining their abstinence.

IMPLICATIONS FOR PRACTICE

The results of the study may provide practices on a theoretical basis for improving coping behaviors and self-esteem and facilitating the recovery process of alcohol dependents with implications for mental health nursing.

Treatment seeking as a mechanism of change in a randomized controlled trial of a mobile health intervention to support recovery from alcohol use disorders

BACKGROUND

We estimated the efficacy of the Addiction-Comprehensive Health Enhancement Support System (A-CHESS) in increasing the use of services for addiction and examined the extent to which this use of services mediated the effects of A-CHESS on risky drinking days and abstinence from drinking.

METHODS

We conducted secondary data analyses of the A-CHESS randomized controlled trial. Recruitment occurred in five residential treatment programs operated by two addiction treatment organizations. Participants were 349 adults with alcohol use disorders recruited two weeks before discharge from residential treatment. We provided intervention arm participants with a smartphone, the A-CHESS application, and an 8-month service plan. Control arm participants received treatment as usual. Telephone interviews at 4, 8, and 12-month follow-ups assessed past-month risky drinking days, past-month abstinence, and post-discharge service utilization (past-month outpatient addiction treatment and past-week mutual help including Alcoholics Anonymous and Narcotics Anonymous). Using mixed effects latent variable models, we estimated the indirect effects of A-CHESS on drinking outcomes, as mediated by post-discharge service utilization.

RESULTS

Approximately 50.5% of participants reported outpatient addiction treatment and 75.5% reported mutual help at any follow-up interview in the year following randomization. Assignment to the A-CHESS intervention was associated with an increased odds of outpatient addiction treatment across follow-ups, but not mutual help. This use of outpatient addiction treatment mediated the effect of A-CHESS on risky drinking days, but not abstinence. The effect of A-CHESS through outpatient addiction treatment appeared to reduce the expected number of risky drinking days across follow-ups by 11%.

CONCLUSIONS

The mobile health (mHealth) intervention promoted the use of outpatient addiction treatment, which appeared to contribute to its efficacy in reducing risky drinking. Future research should investigate how mHealth interventions could link patients to needed treatment services and promote the sustained use of these services.

Implementing an mHealth system for substance use disorders in primary care: a mixed methods study of clinicians' initial expectations and first year experiences

Background

Millions of Americans need but don’t receive treatment for substance use, and evidence suggests that addiction-focused interventions on smart phones could support their recovery. There is little research on implementation of addiction-related interventions in primary care, particularly in Federally Qualified Health Centers (FQHCs) that provide primary care to underserved populations. We used mixed methods to examine three FQHCs’ implementation of Seva, a smart-phone app that offers patients online support/discussion, health-tracking, and tools for coping with cravings, and offers clinicians information about patients’ health tracking and relapses. We examined (a) clinicians’ initial perspectives about implementing Seva, and (b) the first year of implementation at Site 1.

Methods

Prior to staggered implementation at three FQHCs (Midwest city in WI vs. rural town in MT vs. metropolitan NY), interviews, meetings, and focus groups were conducted with 53 clinicians to identify core themes of initial expectations about implementation. One year into implementation at Site 1, clinicians there were re-interviewed. Their reports were supplemented by quantitative data on clinician and patient use of Seva.

Results

Clinicians anticipated that Seva could help patients and make behavioral health appointments more efficient, but they were skeptical that physicians would engage with Seva (given high caseloads), and they were uncertain whether patients would use Seva. They were concerned about legal obligations for monitoring patients’ interactions online, including possible “cries for help” or inappropriate interactions. One year later at Site 1, behavioral health care providers, rather than physicians, had incorporated Seva into patient care, primarily by discussing it during appointments. Given workflow/load concerns, only a few key clinicians monitored health tracking/relapses and prompted outreach when needed; two researchers monitored the discussion board and alerted the clinic as needed. Clinician turnover/leave complicated this approach. Contrary to clinicians’ initial concerns, patients showed sustained, mutually supportive use of Seva, with few instances of misuse.

Conclusions

Results suggest the value of (a) focusing implementation on behavioral health care providers rather than physicians, (b) assigning a few individuals (not necessarily clinicians) to monitor health tracking, relapses, and the discussion board, (c) anticipating turnover/leave and having designated replacements. Patients showed sustained, positive use of Seva.

Trial registration

ClinicalTrials.gov (NCT01963234).

Risky Substance Use Environments and Addiction: A New Frontier for Environmental Justice Research

Substance use disorders are widely recognized as one of the most pressing global public health problems, and recent research indicates that environmental factors, including access and exposure to substances of abuse, neighborhood disadvantage and disorder, and environmental barriers to treatment, influence substance use behaviors. Racial and socioeconomic inequities in the factors that create risky substance use environments may engender disparities in rates of substance use disorders and treatment outcomes. Environmental justice researchers, with substantial experience in addressing racial and ethnic inequities in environmental risk from technological and other hazards, should consider similar inequities in risky substance use environments as an environmental justice issue. Research should aim at illustrating where, why, and how such inequities in risky substance use environments occur, the implications of such inequities for disparities in substance use disorders and treatment outcomes, and the implications for tobacco, alcohol, and drug policies and prevention and treatment programs.

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.

Mobile phone use patterns and preferences in safety net office-based buprenorphine patients

BACKGROUND

Integrating mobile phone technologies in addiction treatment is of increasing importance and may optimize patient engagement with their care and enhance the delivery of existing treatment strategies. Few studies have evaluated mobile phone and text message (TM) use patterns in persons enrolled in addiction treatment, and none have assessed the use in safety net, office-based buprenorphine practices.

METHODS

A 28-item, quantitative and qualitative semistructured survey was administered to opiate-dependent adults in an urban, publicly funded, office-based buprenorphine program. Survey domains included demographic characteristics, mobile phone and TM use patterns, and preferences pertaining to their recovery.

RESULTS

Surveyors approached 73 of the 155 eligible subjects (47%); 71 respondents completed the survey. Nearly all participants reported mobile phone ownership (93%) and TM use (93%), and most reported "very much" or "somewhat" comfort sending TM (79%). Text message contact with 12-step group sponsors, friends, family members, and counselors was also described (32%). Nearly all preferred having their providers' mobile phone number (94%), and alerting the clinic via TM in the event of a potential relapse to receive both supportive TM and a phone call from their buprenorphine provider was also well received (62%).

CONCLUSIONS

Mobile phone and TM use patterns and preferences among this sample of office-based buprenorphine participants highlight the potential of adopting patient-centered mobile phone-based interventions in this treatment setting.

A Pilot Test of a Mobile App for Drug Court Participants

The U.S. criminal justice system refers more people to substance abuse treatment than any other system. Low treatment completion rates and high relapse rates among addicted offenders highlight the need for better substance use disorder treatment and recovery tools. Mobile health applications (apps) may fill that need by providing continuous support. In this pilot test, 30 participants in a Massachusetts drug court program used A-CHESS, a mobile app for recovery support and relapse prevention, over a four-month period. Over the course of the study period, participants opened A-CHESS on average of 62% of the days that they had the app. Social networking tools were the most utilized services. The study results suggest that drug court participants will make regular use of a recovery support app.

This pilot study sought to find out if addicted offenders in a drug court program would use a mobile application to support and manage their recovery.

Screening and Follow-Up Monitoring for Substance Use in Primary Care: An Exploration of Rural-Urban Variations

BACKGROUND

Rates of substance use in rural areas are close to those of urban areas. While recent efforts have emphasized integrated care as a promising model for addressing workforce shortages in providing behavioral health services to those living in medically underserved regions, little is known on how substance use problems are addressed in rural primary care settings.

OBJECTIVE

To examine rural-urban variations in screening and monitoring primary care- based patients for substance use problems in a state-wide mental health integration program.

DESIGN

This was an observational study using patient registry.

SUBJECTS

The study included adult enrollees (n = 15,843) with a mental disorder from 133 participating community health clinics.

MAIN OUTCOMES

We measured whether a standardized substance use instrument was used to screen patients at treatment entry and to monitor symptoms at follow-up visits.

KEY RESULTS

While on average 73.6 % of patients were screened for substance use, follow-up on substance use problems after initial screening was low (41.4 %); clinics in small/isolated rural settings appeared to be the lowest (13.6 %). Patients who were treated for a mental disorder or substance abuse in the past and who showed greater psychiatric complexities were more likely to receive a screening, whereas patients of small, isolated rural clinics and those traveling longer distances to the care facility were least likely to receive follow-up monitoring for their substance use problems.

CONCLUSIONS

Despite the prevalent substance misuse among patients with mental disorders, opportunities to screen this high-risk population for substance use and provide a timely follow-up for those identified as at risk remained overlooked in both rural and urban areas. Rural residents continue to bear a disproportionate burden of substance use problems, with rural-urban disparities found to be most salient in providing the continuum of services for patients with substance use problems in primary care.

Designing adaptive intensive interventions using methods from engineering

OBJECTIVE

Adaptive intensive interventions are introduced, and new methods from the field of control engineering for use in their design are illustrated.

METHOD

A detailed step-by-step explanation of how control engineering methods can be used with intensive longitudinal data to design an adaptive intensive intervention is provided. The methods are evaluated via simulation.

RESULTS

Simulation results illustrate how the designed adaptive intensive intervention can result in improved outcomes with less treatment by providing treatment only when it is needed. Furthermore, the methods are robust to model misspecification as well as the influence of unobserved causes.

CONCLUSIONS

These new methods can be used to design adaptive interventions that are effective yet reduce participant burden.

Mobile mental health interventions following war and disaster

Mobile technologies offer potentially critical ways of delivering mental health support to those experiencing war, ethnic conflict, and human-caused and natural disasters. Research on Internet interventions suggests that effective mobile mental health technologies can be developed, and there are early indications that they will be acceptable to war and disaster survivors, and prove capable of greatly increasing the reach of mental health services. Promising mhealth interventions include video teleconferencing, text messaging, and smartphone-based applications. In addition, a variety of social media platforms has been used during and immediately after disasters to increase agility in responding, and strengthen community and individual resilience. Globally, PTSD Coach has been downloaded over 243,000 times in 96 countries, and together with large-scale use of social media for communication during disasters, suggests the potential for reach of app technology. In addition to enabling improved self-management of post-trauma problems, mobile phone interventions can also enhance delivery of face-to-face care by mental health providers and increase the effectiveness of peer helpers and mutual aid organizations. More research is needed to establish the efficacy of mhealth interventions for those affected by war and disaster. Research should also focus on the identification of active elements and core processes of change, determination of effective ways of increasing adoption and engagement, and explore ways of combining the various capabilities of mobile technologies to maximize their impact.

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.

Perceptions of the feasibility and acceptability of a smartphone application for the treatment of binge eating disorders: Qualitative feedback from a user population and clinicians

BACKGROUND

Binge eating, a major public health problem, is characterized by recurrent episodes of out-of-control eating in which an individual consumes an unusually large amount of food in a discrete time period. Limitations of existing treatments for binge eating (both in-person psychotherapy and guided self-help) indicate that smartphone applications (apps) may be an ideal alternative or enhancement. An app for binge eating could aid treatment dissemination, engagement, and/or compliance. However, no research to date has examined user perceptions of a therapeutic app for binge eating, which is critical for development.

OBJECTIVES

The purposes of the current study were to conceptualize a potential app for binge eating and obtain feedback regarding feasibility and acceptability from target users (i.e., individuals with binge eating) and clinicians specializing in the treatment of binge eating.

METHODS

Our team conceptualized a smartphone app that contained self-help material, functions to monitor behavior, and provisions of in-the-moment interventions. We presented this app (e.g., feature explanations, mock screen shots) through phone interviews with clinicians who specialize in the treatment of binge eating (n=10), and focus groups with individuals experiencing binge eating (n=11). Participants were asked to discuss customization, user burden, terminology, attrition, data visualization, comprehensiveness, reminders, feasibility, acceptability, and perceived effectiveness of the proposed app. Thematic analyses were conducted from qualitative data (e.g., audio recordings and interview notes) obtained via the focus groups and interviews.

RESULTS

Results indicated that our proposed app would be highly feasible and acceptable to users and clinicians, though concerns about the degree of personalization and customizability were noted.

CONCLUSIONS

The current study details highly specific feedback and ideas regarding essential app features from target users and clinicians. This information is critical for the development of future apps to treat binge eating. Ways in which data obtained from the current study may be generalized to the development of therapeutic apps for other psychological disorders is discussed.

mHealth Education Applications Along the Cancer Continuum

The majority of adults worldwide own a mobile phone, including those in under-resourced communities. Mobile health (mhealth) education technologies present a promising mechanism for improving cancer prevention, treatment, and follow-up. The purpose of this study was to summarize the literature related to mobile phone (mhealth) applications for patient education specific to cancer and identify current recommendations from randomized studies. In particular, we were interested in identifying mobile phone applications along the cancer continuum, from cancer prevention to survivorship. The authors identified 28 articles reporting on mobile applications for patients related to cancer. Articles were identified in all categories along the cancer continuum, including health professional involvement in application development. Of these, six involved direct patient education, and eight focused on improving patient/professional communication and patient self-management. However, only six of the studies were randomized interventions. The potential for mobile applications to help overcome the "health care gap" has not yet been realized in the studies from the USA that were reviewed for this paper. However, early recommendations are emerging that support the use of mHealth communications to change behaviors for cancer prevention, early detection, and symptom management and improved patient-provider communication. Recommendations include short messages, use of multiple modalities as patient characteristics dictate comfort with mHealth communication, and the inclusion of patients and health professionals to develop and test applications. Tailoring mHealth to particular cultures, languages, and ethnic groups may also represent a unique possibility to provide accessible information and education at minimal cost for under-resourced communities and individuals.

Integration of Technology-based Behavioral Health Interventions in Substance Abuse and Addiction Services

The past decade has witnessed revolutionary changes to the delivery of health services, ushered in to a great extent by the introduction of electronic health record systems. More recently, a new class of technological advancements-technology-based behavioral health interventions, which involve the delivery of evidence-informed practices via computers, web-based applications, mobile phones, wearable sensors, or other technological platforms-has emerged and is primed to once again radically shift current models for behavioral healthcare. Despite the promise and potential of these new therapeutic approaches, a greater understanding of the impact of technology-based interventions on cornerstone issues of mental health and addiction services-namely access, quality, and cost-is needed. The current review highlights 1) relevant conceptual frameworks that guide this area of research, 2) key studies that inform the relevance of technology-based interventions for behavioral healthcare access, quality, and cost, 3) pressing methodological issues that require attention, 4) unresolved questions that warrant further investigation, and 5) practical implications that underscore important new directions for this emerging area of research.

Patient-clinician mobile communication: analyzing text messaging between adolescents with asthma and nurse case managers

BACKGROUND

With the increasing penetration of digital mobile devices among adolescents, mobile texting messaging is emerging as a new channel for patient-clinician communication for this population. In particular, it can promote active communication between healthcare clinicians and adolescents with asthma. However, little is known about the content of the messages exchanged in medical encounters via mobile text messaging. Therefore, this study explored the content of text messaging between clinicians and adolescents with asthma.

MATERIALS AND METHODS

We collected a total of 2,953 text messages exchanged between 5 nurse case managers and 131 adolescents with asthma through a personal digital assistant. The text messages were coded using a scheme developed by adapting categories from the Roter Interaction Analysis System.

RESULTS

Nurse case managers sent more text messages (n=2,639) than adolescents with asthma. Most messages sent by nurse case managers were targeted messages (n=2,475) directed at all adolescents with asthma, whereas there were relatively few tailored messages (n=164) that were created personally for an individual adolescent. In addition, both targeted and tailored messages emphasized task-focused behaviors over socioemotional behaviors. Likewise, text messages (n=314) sent by adolescents also emphasized task-focused over socioemotional behaviors.

CONCLUSIONS

Mobile texting messaging has the potential to play an important role in patient-clinician communication. It promotes not only active interaction, but also patient-centered communication with clinicians. In order to achieve this potential, healthcare clinicians may need to focus on socioemotional communication as well as task-oriented communication.

Exploring the use patterns of a mobile health application for alcohol addiction before the initial lapse after detoxification

How patients used Addiction-Comprehensive Health Enhancement Support System (A-CHESS)1, a mobile health intervention, while quitting drinking is worthy exploring. This study is to explore A-CHESS use patterns prior to the initial lapse reported after discharge from inpatient detoxification programs. 142 patients with alcohol addiction from two treatment agencies in the U.S. were included. A comprehensive set of A-CHESS use measures were developed based on a three-level system use framework and three A-CHESS service categories. In latent profile analyses, three A-CHESS system use patterns-inactive, passive, and active users-were found. Compared to the passive users (with the highest chance of the initial lapse), the active users (with the lowest chance of such behavior) participated more in online social activities, used more sessions, viewed more pages, and used A-CHESS longer. However, the chances of the initial lapse between A-CHESS user profiles were not statistically different. Implications of this finding were provided.