Dissemination of a computer-based psychological treatment in a drug and alcohol clinical service: an observational study

Digital Help for Substance Users (SU): A Systematic Review

The estimated number of Substance Users (SU) globally has currently reached a very high number and is still increasing. This aspect necessitates appropriate interventions for prevention and specific treatments. The literature shows that digital treatments can be useful in the context of health services and substance abuse. This systematic review focuses mainly on research on the effectiveness of digital treatments for SU. Data sources included studies found on PsycINFO, PubMed, SCOPUS, and WebOfScience (WOS) database searches. The following keywords were used: TITLE (digital OR computer OR software OR tablet OR app OR videogame OR seriousgame OR virtualreality) AND ABSTRACT((mental AND health) AND (addiction OR dependence OR substance OR drug)). We focused on peer-reviewed articles published from 2010 through 2021 using PRISMA guidelines. A total of 18 studies met the inclusion criteria (i.e., type of intervention, efficacy in terms of misuse of substances and scored outcomes from questionnaire or toxicology tests, study methodology). The studies included investigations of specific digital treatments for SU of various kinds of drugs. The interventions were administered using personal computers, smartphones, or, in a few cases, tablets. Most of the interventions focused on the cognitive behavior therapy (CBT) model and/or on the use strategies, tips, or feedback. A minority provided information or training programs. The current review shows that digital treatments and interventions are effective in reducing the frequency of use, augmenting abstinence, or reducing the gravity of dependence for most of the studies at post-treatment. However, due to the heterogeneity of the variables (i.e., substance type, digital tool used, and treatment administered), there was a reduced generalizability of the results. This review highlights the need to continue the research in this field, and above all, to create effective digital protocols.

Factors affecting engagement of primary health care professionals and their patients in facilitated access to online alcohol screening and brief intervention

OBJECTIVE

Understanding the impact of Level of Information and Communication Technology Use, computer self-efficacy and perceived product usability of healthcare professionals regarding an alcohol consumption reduction website on facilitated access defined as referring patients to the webpage.

METHODS

52 nurses and 41 general practitioners were assessed before patient recruitment started, using a questionnaire designed to assess socio-demographic characteristics, professional engagement to the website, Level of Information and Communication Technology Use, Computer self-efficacy ("the judgment of one's capability to use a computer") and Perceived product usability ("the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use"). Dependent variable was the self-report of number of brochures distributed to patients.

RESULTS

Professionals' engagement with facilitated access measured by brochures handed out was not predicted by Perceived product usability, Level of Information and Communication Technology Use or Computer self-efficacy. Professionals who had actively engaged with the website (customization) provided significantly more brochures compared with those who had not (Coefficient B 15.7 CI95% 3.5-27.8). Professional's socio-demographic characteristics did not predict engagement in facilitated access.

CONCLUSION

Professionals' Perceived product usability, Level of Information and Communication Technology Use and Computer self-efficacy were not associated to facilitated access. Active early engagement of health professionals with the website (customization) is a key predictor of subsequent engagement with facilitated access.

PRACTICE IMPLICATIONS

Computer Self-Efficacy, Level of Information and Communication Technology Use and Perceived Product Usability are irrelevant for facilitated access and efforts should be focused on taking time to collaborate with providers and convincing them about the usefulness of the intervention (including customization). Website customization by health care professionals is a promising predictor of engagement.

The Role of Technology-Based Interventions for Substance Use Disorders in Primary Care: A Review of the Literature

The burden of alcohol and drug use disorders (substance use disorders [SUDs]) has intensified efforts to expand access to cost-effective psychosocial interventions and pharmacotherapies. This article provides an overview of technology-based interventions (eg, computer-based and Web-based interventions, text messaging, interactive voice recognition, smartphone apps, and emerging technologies) that are extending the reach of effective addiction treatments both in substance use treatment and primary care settings. It discusses the efficacy of existing technology-based interventions for SUDs, prospects for emerging technologies, and special considerations when integrating technologies in primary care (eg, privacy and regulatory protocols) to enhance the management of SUDs.

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.

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

Clinical Practice Models for the Use of E-Mental Health Resources in Primary Health Care by Health Professionals and Peer Workers: A Conceptual Framework

BACKGROUND

Research into e-mental health technologies has developed rapidly in the last 15 years. Applications such as Internet-delivered cognitive behavioral therapy interventions have accumulated considerable evidence of efficacy and some evidence of effectiveness. These programs have achieved similar outcomes to face-to-face therapy, while requiring much less clinician time. There is now burgeoning interest in integrating e-mental health resources with the broader mental health delivery system, particularly in primary care. The Australian government has supported the development and deployment of e-mental health resources, including websites that provide information, peer-to-peer support, automated self-help, and guided interventions. An ambitious national project has been commissioned to promote key resources to clinicians, to provide training in their use, and to evaluate the impact of promotion and training upon clinical practice. Previous initiatives have trained clinicians to use a single e-mental health program or a suite of related programs. In contrast, the current initiative will support community-based service providers to access a diverse array of resources developed and provided by many different groups.

OBJECTIVE

The objective of this paper was to develop a conceptual framework to support the use of e-mental health resources in routine primary health care. In particular, models of clinical practice are required to guide the use of the resources by diverse service providers and to inform professional training, promotional, and evaluation activities.

METHODS

Information about service providers' use of e-mental health resources was synthesized from a nonsystematic overview of published literature and the authors' experience of training primary care service providers.

RESULTS

Five emerging clinical practice models are proposed: (1) promotion; (2) case management; (3) coaching; (4) symptom-focused treatment; and (5) comprehensive therapy. We also consider the service provider skills required for each model and the ways that e-mental health resources might be used by general practice doctors and nurses, pharmacists, psychologists, social workers, occupational therapists, counselors, and peer workers.

CONCLUSIONS

The models proposed in the current paper provide a conceptual framework for policy-makers, researchers and clinicians interested in integrating e-mental health resources into primary care. Research is needed to establish the safety and effectiveness of the models in routine care and the best ways to support their implementation.