Participation, Retention, and Utilization of a Web-Based Chronic Disease Self-Management Intervention Among Older Adults.

BACKGROUND: Web-based self-management (web-based SM) interventions provide a potential resource for older adults to engage in their own chronic disease management. The purpose of this study is to investigate the effect of age on participation, retention, and utilization of a web-based SM intervention. MATERIALS AND METHODS: This study reports the results of a secondary data analysis of the effects of age in a randomized trial of a web-based diabetes SM intervention. Participation, reasons for nonenrollment, retention, reasons for disenrollment, and website utilization were examined by age using discriminant function, survival analysis, and multivariate analysis of variance as appropriate. RESULTS: Website utilization by all participants dropped after 6 months but did not vary significantly with age. Though older adults (>60 of age) were less likely to choose to participate (F = 57.20, p < 0.001), a slight majority of participants in the experiment (53%) were over 66 years of age. Enrolled older adults utilized website management tools at a rate equivalent to younger participants. At termination, they often reported the experiment as burdensome, but tended to stay in the study longer than younger participants. CONCLUSIONS: Web-based SM offers a feasible approach for older adults with chronic disease to engage in their health management, but it needs to be improved. Those older adults who passed the rigorous screens for this experiment and chose to participate may have been more likely than younger participants to utilize web-based SM intervention tools. They were more persistent in their use of the web-based SM to try to improve health outcomes and formed definitive opinions about its utility before termination.

An exploratory study of engagement in a technology-supported substance abuse intervention.

BACKGROUND: The continuing gap between the number of people requiring treatment for substance use disorders and those receiving treatment suggests the need to develop new approaches to service delivery. Meanwhile, the use of technology to provide counseling and support in the substance abuse field is exploding. Despite the increase in the use of technology in treatment, little is known about the impact of technology-supported interventions on access to services for substance use disorders. The E-TREAT intervention brings together the evidence-based practice of Motivational Interviewing and theories of Persuasive Technology to sustain clients' motivation to change substance use behaviors, provide support for change, and facilitate continuity across treatment settings. METHODS: This study used descriptive statistics, tests of statistical significance, and logistic regression to explore the characteristics and perceptions of the first 157 people who agreed to participate in E-TREAT and the predictors of their active engagement in E-TREAT services. In addition, responses to open-ended questions about the participants' experiences with the intervention were analyzed. RESULTS: The data reveal that clients who engaged in E-TREAT were more likely than those who did not engage to be female, have children and report a positive relationship with their recovery coach, and were less likely to have completed treatment for a substance use disorder in the past. A majority of people engaging in E-TREAT reported that it was helpful to talk with others with similar problems and that the program assisted them in developing a sense of community. CONCLUSIONS: The authors conclude that technology-assisted interventions hold promise in expanding access to treatment for substance use disorders especially for women and parents. Further, the characteristics of the relationship with a coach or helper may be critical to engagement in technology-supported interventions. Additional investigation into ways technology may be useful to enhance treatment access for certain subgroups is needed.