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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., (Copyright © 2017 Elsevier Inc. All rights reserved.)

The chronically relapsing nature of alcoholism leads to substantial personal, family, and societal costs. Addiction-comprehensive health enhancement support system (A-CHESS) is a smartphone application that aims to reduce relapse. To offer targeted support to patients who are at risk of lapses within the coming week, a Bayesian network model to predict such events was constructed using responses on 2,934 weekly surveys (called the Weekly Check-in) from 152 alcohol-dependent individuals who recently completed residential treatment. The Weekly Check-in is a self-monitoring service, provided in A-CHESS, to track patients' recovery progress. The model showed good predictability, with the area under receiver operating characteristic curve of 0.829 in the 10-fold cross-validation and 0.912 in the external validation. The sensitivity/specificity table assists the tradeoff decisions necessary to apply the model in practice. This study moves us closer to the goal of providing lapse prediction so that patients might receive more targeted and timely support., (© 2013.)

Background: Emotional support has traditionally been conceived as something a breast cancer patient receives. However, this framework may obscure a more complex process, facilitated by the emerging social media environment, which includes the effects of composing and sending messages to others. Accordingly, this study explores the effects of expression and reception of emotional support messages in online groups and the importance of bonding as a mediator influencing the coping strategies of breast cancer patients., Methods: Data were collected as part of two National Cancer Institute-funded randomized clinical trials. Eligible subjects were within 2 months of diagnosis of primary breast cancer or recurrence. Expression and reception of emotionally supportive messages were tracked and coded for 237 breast cancer patients. Analysis resulted from merging 1) computer-aided content analysis of discussion posts, 2) action log analysis of system use, and 3) longitudinal survey data., Results: As expected, perceived bonding was positively related to all four coping strategies (active coping: β = 0.251, P = .000; positive reframing: β = 0.288, P = .000; planning: β = 0.213, P = .006; humor: β = 0.159, P = .009). More importantly, expression (γ = 0.138, P = .027), but not reception (γ = -0.018, P = .741), of emotional support increases perceived bonding, which in turn mediates the effects on patients' positive coping strategies., Conclusions: There is increasing importance for scholars to distinguish the effects of expression from reception to understand the processes involved in producing psychosocial benefits. This study shows that emotional support is more than something cancer patients receive; it is part of an active, complex process that can be facilitated by social media.

Objectives: To examine the effects of exchanging treatment information within computer-mediated breast cancer support groups on emotional well-being, and to explore whether this relationship is moderated by health self-efficacy., Sample: 177 breast cancer patients using an electronic Health (eHealth) program with discussion group., Measure: expression and reception of treatment information; emotional well-being scale (0, 4 months)., Analyses: hierarchical regression., Results: Effects of expression and reception of treatment information on emotional well-being were significantly greater for those who have higher health self-efficacy., Conclusions: Results conditionally support prior research finding positive effects of treatment information exchanges among breast cancer patients. Such exchanges had a positive impact on emotional well-being for those with higher health self-efficacy, but they had a negative influence for those with lower health self-efficacy., Practice Implications: Given that the association between emotional well-being and exchanging treatment information was moderated by health self-efficacy, clinicians should explain the role of health self-efficacy before encouraging patients to use eHealth systems for treatment exchanges., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)

The goal of the current study was to examine how social support and coping strategies are related in predicting emotional well-being of women with breast cancer. In achieving this goal, we examined two hypothesized models: (1) a moderation model where social support and coping strategies interact with each other in affecting psychological well-being; and (2) a mediation model where the level of social support influences choices of coping strategies between self-blame and positive reframing. In general, the data from the current study were more consistent with the mediation model than the moderation model.

Enrolling adequate numbers of subjects to research projects that focus on the supportive needs of patients and caregivers is difficult, and this difficulty significantly impedes investigation of this important research area. We report reasons that patients or their informal caregivers declined to participate in one of two randomized, longitudinal clinical trials testing the Comprehensive Health Enhancement Support System (CHESS), a Web-based information and support scheme for people with advanced cancer and their primary informal caregivers. Patients were asked why they declined participation in these trials; their responses then were recorded and coded into themes. The leading reasons included factors related to using a computer (eg, lack of familiarity with using this technology, access to other resources), being attended to by a caregiver (eg, poor caregiver health, caregiver burden, patient doing well and not needing a caregiver), taking part in a study (eg, survey burden, privacy concerns, wording of the consent form), dealing with personal issues (eg, time commitment, timing of study, feelings of being overwhelmed, and coping styles), and lack of interest. By using eligibility criteria that largely parallel those for studies of chemotherapeutic regimens, this research project highlighted reasons why subjects decline participation in clinical trials. This information was specific to supportive care trials; it may help researchers plan recruitment strategies and enrollment targets.

To provide insights about how women with breast cancer learn from interactive cancer communication systems (ICCSs), this study examined how use of different types of services that employ conceptually distinct pedagogical methods relates to learning outcomes. The study sample included 231 recently diagnosed, lower income breast cancer patients. Participants were provided a free computer, Internet access and training in how to use an ICCS called the Comprehensive Health Enhancement Support System 'Living with Breast Cancer' program. Data comprised survey information collected at pre-test and 4 months after using the system and computer records of how women used the system (use data). The findings suggest that use of the information and interactive services independently contributed to perceived information competence, though the communication services, including both discussion group and ask an expert, did not. Consistent with expectations, use of discussion group and interactive services amplified the learning effects of using the information services. However, use of the ask an expert service did not amplify the learning effects of using the information services as predicted. Some constructivist pedagogical methods-specifically online support groups and intelligently designed, computer-driven interactive services-may supplement and extend the learning potential of information services delivered via a transmission-oriented pedagogical approach.

This study examined what characteristics predict participation in online support groups for women with breast cancer when users are provided free training, computer hardware, and Internet service removing lack of access as a barrier to use. The only significant difference between active and inactive participants was that active users were more likely at pretest to consider themselves active participants in their healthcare. Among active participants, being white and having a higher energy level predicted higher volumes of writing. There were also trends toward the following characteristics predictive of a higher volume of words written, including having a more positive relationship with their doctors, fewer breast cancer concerns, higher perceived health competence, and greater social/family well-being. Implications for improving psychosocial interventions for women with breast cancer are discussed, and future research objectives are suggested.