Self-guided Web-based Interventions Research Articles

Motivational Variables as Moderating Effects of a Web-Based Mental Health Program for University Students: Secondary Analysis of a Randomized Controlled Trial.

Self-guided web-based interventions have the potential of addressing help-seeking barriers and symptoms common among university students, such as depression and anxiety. Unfortunately, self-guided interventions are also associated with less adherence, implicating motivation as a potential moderator for adherence and improvement for such interventions. Previous studies examining motivation as a moderator or predictor of improvement on web-based interventions have defined and measured motivation variably, producing conflicting results. This secondary analysis of data from a randomized controlled trial aimed to examine constructs of motivation as moderators of improvement for a self-guided 8-week web-based intervention in university students (N=1607). Tested moderators included internal motivation, external motivation, and confidence in treatment derived from the Treatment Motivation Questionnaire. The primary outcome was an improvement in depression and anxiety measured by the Depression Anxiety Stress Scale-21. Piecewise linear mixed effects models showed that internal motivation significantly moderated symptom change for the intervention group (t1504=-2.94; P=.003) at average and high (+1 SD) motivation levels (t1507=-2.28; P=.02 and t1507=-4.05; P<.001, respectively). Significant results remained even after controlling for baseline severity. The results showed that confidence in treatment did not significantly moderate symptom change for the intervention group (t1504=1.44; P=.15). In this sample, only internal motivation was positively correlated with service initiation, intervention adherence, and intervention satisfaction. The combination of a web-based intervention and high or moderate internal motivation resulted in greater improvement in the total Depression Anxiety Stress Scale-21 score. These findings highlight the importance of conceptually differentiating motivation-related constructs when examining moderators of improvement. The results suggest that the combination of a web-based intervention and high or moderate internal motivation results in greater improvement. These findings highlight the importance of conceptually differentiating motivation-related constructs when examining moderators of improvement. To better understand the moderating role of internal motivation, future research is encouraged to replicate these findings in diverse samples as well as to examine related constructs such as baseline severity and adherence. Understanding these characteristics informs treatment strategies to maximize adherence and improvement when developing web-based interventions as well as allows services to be targeted to individuals likely to benefit from such interventions. ClinicalTrials.gov NCT04361045; https://clinicaltrials.gov/study/NCT04361045.

Randomized controlled trials assessing efficacy of brief web-based stress management interventions for college students during the COVID pandemic.

The purpose of this study was to evaluate the efficacy of brief, self-guided web-based interventions for decreasing distress among U.S. college students during the pandemic. Three randomized controlled trials were conducted during the spring (Study 1), summer (Study 2), and fall (Study 3) 2020 terms, and were combined into one sample to increase power (N = 775). We evaluated a web-based intervention that focused on increasing present control that had been shown to be effective in several studies prior to the pandemic (e.g., Nguyen-Feng et al., 2017). This intervention was compared to an active comparison condition (psychoeducation about and reminders to engage in Centers for Disease Control and Prevention (CDC)-recommended stress management techniques) in Study 1, to a waitlist comparison in Study 2, and to both comparison conditions in Study 3. Participants were undergraduate psychology students at two campuses of a midwestern state university system. Outcomes-perceived stress (primary); depression, anxiety, and stress symptoms (secondary); and boredom (tertiary)-were assessed at pretest and posttest (and 3-week follow-up in Study 3). Differences across conditions were significant for perceived stress, stress symptoms, and boredom (but not depression or anxiety). Contrary to hypotheses, the Present Control and CDC stress management interventions were equally effective. Both were more effective than no intervention (between-group ds = -0.27 and -0.42). Both interventions were more effective for students with higher baseline stress levels. Completion and adherence rates were high for both conditions. Results suggest that very brief, self-guided stress management interventions can be effective in reducing stress among college students. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence.

BackgroundChronic diseases contribute to 71% of deaths worldwide every year, and an estimated 15 million people between the ages of 30 and 69 years die mainly because of cardiovascular disease, cancer, chronic respiratory diseases, or diabetes. Web-based educational interventions may facilitate disease management. These are also considered to be a flexible and low-cost method to deliver tailored information to patients. Previous studies concluded that the implementation of different features and the degree of adherence to the intervention are key factors in determining the success of the intervention. However, limited research has been conducted to understand the acceptability of specific features and user adherence to self-guided web interventions.ObjectiveThis systematic review aims to understand how web-based intervention features are evaluated, to investigate their acceptability, and to describe how adherence to web-based self-guided interventions is defined and measured.MethodsStudies published on self-guided web-based educational interventions for people (≥14 years old) with chronic health conditions published between January 2005 and June 2020 were reviewed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement protocol. The search was performed using the PubMed, Cochrane Library, and EMBASE (Excerpta Medica dataBASE) databases; the reference lists of the selected articles were also reviewed. The comparison of the interventions and analysis of the features were based on the published content from the selected articles.ResultsA total of 20 studies were included. Seven principal features were identified, with goal setting, self-monitoring, and feedback being the most frequently used. The acceptability of the features was measured based on the comments collected from users, their association with clinical outcomes, or device adherence. The use of quizzes was positively reported by participants. Self-monitoring, goal setting, feedback, and discussion forums yielded mixed results. The negative acceptability was related to the choice of the discussion topic, lack of face-to-face contact, and technical issues. This review shows that the evaluation of adherence to educational interventions was inconsistent among the studies, limiting comparisons. A clear definition of adherence to an intervention is lacking.ConclusionsAlthough limited information was available, it appears that features related to interaction and personalization are important for improving clinical outcomes and users’ experience. When designing web-based interventions, the selection of features should be based on the targeted population’s needs, the balance between positive and negative impacts of having human involvement in the intervention, and the reduction of technical barriers. There is a lack of consensus on the method of evaluating adherence to an intervention. Both investigations of the acceptability features and adherence should be considered when designing and evaluating web-based interventions. A proof-of-concept or pilot study would be useful for establishing the required level of engagement needed to define adherence.

Making Come-Alive and Keeping Un-Alive: How People Relate to Self-Guided Web-Based Health Interventions.

Health interventions delivered online (self-guided web-based interventions) may become more helpful through a person-to-program “working alliance.” In psychotherapy, the working alliance signifies a therapeutically useful client–therapist relationship and includes an emotional bond. However, there exist no theories of how program users relate to online programs, or that explain a person-to-program bond theoretically. Addressing this gap, we conducted qualitative interviews with and collected program data from users of a self-guided web-based intervention. Taking a grounded theory approach, the analysis arrived at a model of relating based on two relational modes—making come-alive and keeping un-alive. Different combinations of these modes could describe a range of ways of relating to the program, including a nonsocial interaction, a semi-social interaction, and a semi-social relationship. A person-to-program bond is explained by the model as an experienced supportive social presence, enabled by making come-alive and a positive program interaction.

Self-Guided Web-Based Interventions: Scoping Review on User Needs and the Potential of Embodied Conversational Agents to Address Them.

BackgroundWeb-based mental health interventions have evolved from innovative prototypes to evidence-based and clinically applied solutions for mental diseases such as depression and anxiety. Open-access, self-guided types of these solutions hold the promise of reaching and treating a large population at a reasonable cost. However, a considerable factor that currently hinders the effectiveness of these self-guided Web-based interventions is the high level of nonadherence. The absence of a human caregiver apparently has a negative effect on user adherence. It is unknown to what extent this human support can be handed over to the technology of the intervention to mitigate this negative effect.ObjectiveThe first objective of this paper was to explore what is known in literature about what support a user needs to stay motivated and engaged in an electronic health (eHealth) intervention that requires repeated use. The second objective was to explore the current potential of embodied conversational agents (ECAs) to provide this support.MethodsThis study reviews and interprets the available literature on (1) support within eHealth interventions that require repeated use and (2) the potential of ECAs by means of a scoping review. The rationale for choosing a scoping review is that the subject is broad, diverse, and largely unexplored. Themes for (1) and (2) were proposed based on grounded theory and mapped on each other to find relationships.ResultsThe results of the first part of this study suggest the presence of user needs that largely remain implicit and unaddressed. These support needs can be categorized as task-related support and emotion-related support. The results of the second part of this study suggest that ECAs are capable of engaging and motivating users of information technology applications in the domains of learning and behavioral change. Longitudinal studies must be conducted to determine under what circumstances ECAs can create and maintain a productive user relationship. Mapping the user needs on the ECAs’ capabilities suggests that different kinds of ECAs may provide different solutions for improving the adherence levels.ConclusionsAutonomous ECAs that do not respond to a user’s expressed emotion in real time but take on empathic roles may be sufficient to motivate users to some extent. It is unclear whether those types of ECAs are competent enough and create sufficient believability among users to address the user’s deeper needs for support and empathy. Responsive ECAs may offer a better solution. However, at present, most of these ECAs have difficulties to assess a user’s emotional state in real time during an open dialogue. By conducting future research with relationship theory–based ECAs, the added value of ECAs toward user needs can be better understood.

Dropout in self-guided web-based interventions for depression can be predicted by several variables

ABSTRACT FROM: Karyotaki E, Kleiboer A, Smit F, et al . Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis. Psychol Med 2015;45:2717–26. Web-based...

Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis.

It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Clinical Social Work in a Digital Environment: Ethical and Risk-Management Challenges

Clinical social workers’ use of digital and other technology to provide distance counseling services is proliferating. Increasing numbers of contemporary practitioners are using video counseling, email chat, social networking websites, text messaging, smartphone apps, avatar-based websites, self-guided web-based interventions, and other technology to provide clinical services to clients, some of whom they may never meet in person. The advent of this technology has produced a wide range of ethical challenges related to social workers’ application of traditional social work ethics concepts: client informed consent; client privacy and confidentiality; boundaries and dual relationships; conflicts of interest; practitioner competence; records and documentation; and collegial relationships. The principal purpose of this article is to identify pertinent ethical and ethically-related risk-management issues that clinical social workers need to consider if they contemplate using this technology to assist people in need. The author addresses compelling ethical issues concerning (1) social workers’ use of digital technology to communicate with clients in relatively new ways, and (2) whether social workers’ use of digital technology alters the fundamental nature of the therapeutic relationship and clinicians’ ability to provide clients with a truly therapeutic environment.

Social Work in a Digital Age: Ethical and Risk Management Challenges

Digital, online, and other electronic technology has transformed the nature of social work practice. Contemporary social workers can provide services to clients by using online counseling, telephone counseling, video counseling, cybertherapy (avatar therapy), self-guided Web-based interventions, electronic social networks, e-mail, and text messages. The introduction of diverse digital, online, and other forms of electronic social services has created a wide range of complex ethical and related risk management issues. This article provides an overview of current digital, online, and electronic social work services; identifies compelling ethical issues related to practitioner competence, client privacy and confidentiality, informed consent, conflicts of interest, boundaries and dual relationships, consultation and client referral, termination and interruption of services, documentation, and research evidence; and offers practical risk management strategies designed to protect clients and social workers. The author identifies relevant standards from the NASW Code of Ethics and other resources designed to guide practice.