Previous research shows that automatic tendency to approach alcohol plays a causal role in problematic alcohol use and can be retrained by Approach Bias Modification (ApBM). ApBM has been shown to be effective for patients diagnosed with alcohol use disorder (AUD) in inpatient treatment. This study aimed to investigate the effectiveness of adding an online ApBM to treatment as usual (TAU) in an outpatient setting compared to receiving TAU with an online placebo training. 139 AUD patients receiving face-to-face or online treatment as usual (TAU) participated in the study. The patients were randomized to an active or placebo version of 8 sessions of online ApBM over a 5-week period. The weekly consumed standard units of alcohol (primary outcome) was measured at pre-and post-training, 3 and 6 months follow-up. Approach tendency was measured pre-and-post ApBM training. No additional effect of ApBM was found on alcohol intake, nor other outcomes such as craving, depression, anxiety, or stress. A significant reduction of the alcohol approach bias was found. This research showed that approach bias retraining in AUD patients in an outpatient treatment setting reduces the tendency to approach alcohol, but this training effect does not translate into a significant difference in alcohol reduction between groups. Explanations for the lack of effects of ApBM on alcohol consumption are treatment goal and severity of AUD. Future ApBM research should target outpatients with an abstinence goal and offer alternative, more user-friendly modes of delivering ApBM training.
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Background: In face-to-face therapy for eating disorders, therapeutic alliance (TA) is an important predictor of symptomreduction and treatment completion. To date, however, little is known about TA during web-based cognitive behavioral therapy(web-CBT) and its association with symptom reduction, treatment completion, and the perspectives of patients versus therapists.Objective: This study aimed to investigate TA ratings measured at interim and after treatment, separately for patients andtherapists; the degree of agreement between therapists and patients (treatment completers and noncompleters) for TA ratings;and associations between patient and therapist TA ratings and both eating disorder pathology and treatment completion.Methods: A secondary analysis was performed on randomized controlled trial data of a web-CBT intervention for eatingdisorders. Participants were 170 females with bulimia nervosa (n=33), binge eating disorder (n=68), or eating disorder nototherwise specified (n=69); the mean age was 39.6 (SD 11.5) years. TA was operationalized using the Helping AllianceQuestionnaire (HAQ). Paired t tests were conducted to assess the change in TA from interim to after treatment. Intraclasscorrelations were calculated to determine cross-informant agreement with regard to HAQ scores between patients and therapists.A total of 2 stepwise regressive procedures (at interim and after treatment) were used to examine which HAQ scores predictedeating disorder pathology and therapy completion.Results: For treatment completers (128/170, 75.3%), the HAQ-total scores and HAQ-Helpfulness scores for both patients andtherapists improved significantly from interim to post treatment. For noncompleters (42/170, 24.7%), all HAQ scores decreasedsignificantly. For all HAQ scales, the agreement between patients and therapists was poor. However, the agreement was slightlybetter after treatment than at interim. Higher patient scores on the helpfulness subscale of the HAQ at interim and after treatmentwere associated with less eating disorder psychopathology. A positive association was found between the HAQ-total patientscores at interim and treatment completion. Finally, posttreatment HAQ-total patient scores and posttreatment HAQ-Helpfulnessscores of therapists were positively associated with treatment completion.Conclusions: Our study showed that TA in web-CBT is predictive of eating disorder pathology and treatment completion. Ofparticular importance is patients’ confidence in their abilities as measured with the HAQ-Helpfulness subscale when predictingposttreatment eating disorder pathology and treatment completion.
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Background:Tobacco consumption is a leading cause of death and disease, killing >8 million people each year. Smoking cessation significantly reduces the risk of developing smoking-related diseases. Although combined treatment for addiction is promising, evidence of its effectiveness is still emerging. Currently, there is no published research comparing the effectiveness of blended smoking cessation treatments (BSCTs) with face-to-face (F2F) treatments, where web-based components replace 50% of the F2F components in blended treatment.Objective:The primary objective of this 2-arm noninferiority randomized controlled trial was to determine whether a BSCT is noninferior to an F2F treatment with identical ingredients in achieving abstinence rates.Methods:This study included 344 individuals who smoke (at least 1 cigarette per day) attending an outpatient smoking cessation clinic in the Netherlands. The participants received either a blended 50% F2F and 50% web-based BSCT or only F2F treatment with similar content and intensity. The primary outcome measure was cotinine-validated abstinence rates from all smoking products at 3 and 15 months after treatment initiation. Additional measures included carbon monoxide–validated point prevalence abstinence; self-reported point prevalence abstinence; and self-reported continuous abstinence rates at 3, 6, 9, and 15 months after treatment initiation.Results:None of the 13 outcomes showed statistically confirmed noninferiority of the BSCT, whereas 4 outcomes showed significantly (P<.001) inferior abstinence rates of the BSCT: cotinine-validated point prevalence abstinence rate at 3 months (difference 12.7, 95% CI 6.2-19.4), self-reported point prevalence abstinence rate at 6 months (difference 19.3, 95% CI 11.5-27.0) and at 15 months (difference 11.7, 95% CI 5.8-17.9), and self-reported continuous abstinence rate at 6 months (difference 13.8, 95% CI 6.8-20.8). The remaining 9 outcomes, including the cotinine-validated point prevalence abstinence rate at 15 months, were inconclusive.Conclusions:In this high-intensity outpatient smoking cessation trial, the blended mode was predominantly less effective than the traditional F2F mode. The results contradict the widely assumed potential benefits of blended treatment and suggest that further research is needed to identify the critical factors in the design of blended interventions.Trial Registration:Netherlands Trial Register 27150; https://onderzoekmetmensen.nl/nl/trial/27150
Alcohol use disorder (AUD) is a major problem. In the USA alone there are 15 million people with an AUD and more than 950,000 Dutch people drink excessively. Worldwide, 3-8% of all deaths and 5% of all illnesses and injuries are attributable to AUD. Care faces challenges. For example, more than half of AUD patients relapse within a year of treatment. A solution for this is the use of Cue-Exposure-Therapy (CET). Clients are exposed to triggers through objects, people and environments that arouse craving. Virtual Reality (VRET) is used to experience these triggers in a realistic, safe, and personalized way. In this way, coping skills are trained to counteract alcohol cravings. The effectiveness of VRET has been (clinically) proven. However, the advent of AR technologies raises the question of exploring possibilities of Augmented-Reality-Exposure-Therapy (ARET). ARET enjoys the same benefits as VRET (such as a realistic safe experience). But because AR integrates virtual components into the real environment, with the body visible, it presumably evokes a different type of experience. This may increase the ecological validity of CET in treatment. In addition, ARET is cheaper to develop (fewer virtual elements) and clients/clinics have easier access to AR (via smartphone/tablet). In addition, new AR glasses are being developed, which solve disadvantages such as a smartphone screen that is too small. Despite the demand from practitioners, ARET has never been developed and researched around addiction. In this project, the first ARET prototype is developed around AUD in the treatment of alcohol addiction. The prototype is being developed based on Volumetric-Captured-Digital-Humans and made accessible for AR glasses, tablets and smartphones. The prototype will be based on RECOVRY, a VRET around AUD developed by the consortium. A prototype test among (ex)AUD clients will provide insight into needs and points for improvement from patient and care provider and into the effect of ARET compared to VRET.
It is essential to look for new forms of care, with an emphasis on Prevention, Relocation and Replacement (Health & Care Knowledge and Innovation Agenda 2020-2030). Especially when it comes to Alcohol Use Disorder (AUD). Globally, more than 5% of all illness and injury are attributable to AUD. Treatment is challenging; 47-75% of AUD patients who are clinically detoxified relapse within one year. Recovry aims to prevent an unhealthy lifestyle due to (alcohol) addiction by developing and testing a Virtual Reality (VR) self-prevention tool (relocating and replacing care treatment). Although research shows that VR is used successfully in health care and in the treatment of alcohol addiction, especially through the creation of presence, it has not been tested for effectiveness and implementation (as an adjuvant in a clinical post-detoxification phase of an AUD- therapy). The question of whether virtual-humans should be used in a VR treatment and whether 3600 recorded VR or computer generated (CG) VR should be selected before. The use of a virtual human in VR has expected advantages (more effect) but also disadvantages (more costs). The expected advantages and disadvantages of 360o VR (cheaper, faster, more personal) and CG VR (more flexible and interactive) also cause choice and implementation problems. Recovry is the first project in which a VR tool is (further) developed in which an AUD treatment can (and will) be tested for the effect and effectiveness of adding virtual humans in CG and 360o VR environments as part of preventive care for patients with an AUD. This project thus serves as a prelude to cooperation in the Netherlands around a more effective implementation of VR in the (self) care system and thus the active and independent integration of former AUD patients in society (“more people, less patients”).
