Nonuse of Blended Web-Based and Face-To-Face Cognitive Behavioral Therapy for Alcohol Use Disorder: Qualitative Study.

BACKGROUND: The use of digital technologies for health care has been the focus of social studies, which have concentrated on the digital divide between individuals who use technology and those who do not-with the latter often being considered as individuals with shortcomings. In Denmark, 91% of the population have computers and 97 out of 100 families have internet access, indicating that lack of access to technology is not the primary reason for nonuse. Although previous studies have primarily focused on participants' perspectives of using internet-based treatment for alcohol use disorder (AUD), no study has investigated individuals' reasons to prefer face-to-face treatment over blended face-to-face and internet-based cognitive behavioral therapy (bCBT) for AUD among treatment-seeking populations. OBJECTIVE: The aim of this qualitative study was to investigate the nonuse of bCBT among patients with AUD. Specifically, this study aims to explore patients' reasons for choosing not to receive treatment via this format. METHODS: This study was conducted among Danish patients with AUD who were enrolled in the study "Blending internet treatment into conventional face-to-face treatment for alcohol use disorder (Blend-A)" but had not used bCBT. The participant group consisted of 11 patients with AUD: 3 women and 8 men. The age range of the participants was 29-78 years (mean 59 years). Individual semistructured interviews were conducted using cell phones to gather participants' reasons for not choosing bCBT. The interviews were recorded, transcribed, and analyzed using thematic analysis. Five authors performed the analysis in 3 steps: (1) two authors read the transcripts and coded themes from their immediate impression of the material, (2) one author provided feedback, which was used to group overlapping themes together or create new themes that better reflected the content, and (3) the remaining two authors provided feedback on the analysis to improve its structure, readability, and relevance to the research aim. RESULTS: We found that the participants had various reasons for choosing face-to-face treatment over bCBT; these reasons were more related to personal matters and lesser to digital health literacy. We identified 4 themes related to personal matters for choosing face-to-face treatment over bCBT: (1) patients' need for attending sessions in person, (2) preference for verbal communication, (3) desire for immediate feedback, and (4) feeling more empowered and motivated with face-to-face sessions. CONCLUSIONS: This study provides valuable insight into participants' perspectives on blended therapy for AUD and highlights the importance of considering personal factors when designing digital health interventions. Our study indicates that most of the participants choose not to use bCBT for AUD because they perceive such treatment formats as impersonal. Instead, they prefer direct communication with the therapist, including the ability to express and comprehend facial expressions and body language. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12888-021-03122-4.

Correction: Psychiatric Treatment Conducted via Telemedicine Versus In-Person Modality in Posttraumatic Stress Disorder, Mood Disorders, and Anxiety Disorders: Systematic Review and Meta-Analysis.

[This corrects the article DOI: 10.2196/44790.].

Implementing a revised online screening tool in a routine care online clinic treating anxiety and depression.

Introduction: The ItFits implementation toolkit was developed as part of the ImpleMentAll EU Project, to help guide implementation processes. The ItFits toolkit was tested in the online clinic, Internetpsykiatrien, in the Region of Southern Denmark, where it was employed to optimize screening and intake procedures. We hypothesized that a larger proportion of assessed patients would be referred to treatment. Further, we hypothesized the completion rate and effectiveness would increase, as a result of including a more relevant sample. Method: Using the ItFits-toolkit, Internetpsykiatrien developed a revised online screening tool. Data on patient flow and symptom questionnaires was extracted from Internetpsykiatrien six months prior to- and six months after implementation of the revised online screening tool. Results: A total of 1,830 applicants self-referred for treatment during the study period. A significantly lower proportion of patients were referred to treatment after implementation of the revised screening tool (pre-implementation, n = 1,009; post-implementation, n = 821; odds ratio 0.67, 95% CI: 0.51; 0.87). The number of patients that completed treatment increased significantly (pre-implementation: 136/275 [49.45%], post-implementation, n = 102/162 [62.96%]; odds ratio 1.79, 95% CI 1.20; 2.70). The treatment effect was unchanged (B = 0.01, p = .996). Worth noting, the number of patients that canceled their appointment for the video assessment interview decreased drastically. Conclusion: By using the ItFits toolkit for a focused and structured implementation effort, the clinic was able to improve the completion rate, which is an important effect in iCBT. However, contrary to our hypotheses, we did not find an increase in clinical effect, nor a larger ratio being referred to treatment after assessment. The decreased number of referrals for treatment could be a result of increased awareness of inclusion criteria among the clinicians.

Psychiatric Treatment Conducted via Telemedicine Versus In-Person Modality in Posttraumatic Stress Disorder, Mood Disorders, and Anxiety Disorders: Systematic Review and Meta-Analysis.

BACKGROUND: Telemedicine has played a vital role in providing psychiatric treatment to patients during the rapid transition of services during the COVID-19 pandemic. Furthermore, the use of telemedicine is expected to expand within the psychiatric field. The efficacy of telemedicine is well described in scientific literature. However, there is a need for a comprehensive quantitative review that analyzes and considers the different clinical outcomes and psychiatric diagnoses. OBJECTIVE: This paper aimed to assess whether individual psychiatric outpatient treatment for posttraumatic stress disorder, mood disorders, and anxiety disorders in adults using telemedicine is equivalent to in-person treatment. METHODS: A systematic search of randomized controlled trials was conducted using recognized databases for this review. Overall, 4 outcomes were assessed: treatment efficacy, levels of patient satisfaction, working alliance, and attrition rate. The inverse-variance method was used to summarize the effect size for each outcome. RESULTS: A total of 7414 records were identified, and 20 trials were included in the systematic review and meta-analysis. The trials included posttraumatic stress disorder (9 trials), depressive disorder (6 trials), a mix of different disorders (4 trials), and general anxiety disorder (1 trial). Overall, the analyses yielded evidence that telemedicine is comparable with in-person treatment regarding treatment efficacy (standardized mean difference -0.01, 95% CI -0.12 to 0.09; P=.84; I2=19%, 17 trials, n=1814), patient satisfaction mean difference (-0.66, 95% CI -1.60 to 0.28; P=.17; I2=44%, 6 trials, n=591), and attrition rates (risk ratio 1.07, 95% CI 0.94-1.21; P=.32; I2=0%, 20 trials, n=2804). The results also indicated that the working alliance between telemedicine and in-person modalities was comparable, but the heterogeneity was substantial to considerable (mean difference 0.95, 95% CI -0.47 to 2.38; P=.19; I2=75%, 6 trials, n=539). CONCLUSIONS: This meta-analysis provided new knowledge on individual telemedicine interventions that were considered equivalent to in-person treatment regarding efficacy, patient satisfaction, working alliance, and attrition rates across diagnoses. The certainty of the evidence regarding efficacy was rated as moderate. Furthermore, high-quality randomized controlled trials are needed to strengthen the evidence base for treatment provided via telemedicine in psychiatry, particularly for personality disorders and a range of anxiety disorders where there is a lack of studies. Individual patient data meta-analysis is suggested for future studies to personalize telemedicine. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021256357; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=256357.

Therapist perceptions of the implementation of a new screening procedure using the ItFits-toolkit in an iCBT routine care clinic: A mixed-methods study using the consolidated framework for implementation research.

Introduction: This study investigates the implementation of a new, more automated screening procedure using the ItFits-toolkit in the online clinic, Internet Psychiatry (iPsych) (www.internetpsykiatrien.dk), delivering guided iCBT for mild to moderate anxiety and depressive disorders. The study focuses on how the therapists experienced the process. Methods: Qualitative data were collected from semi-structured individual interviews with seven therapists from iPsych. The interviews were conducted using an interview guide with questions based on the Consolidated Framework for Implementation Research (CFIR). Quantitative data on the perceived level of normalization were collected from iPsych therapists, administrative staff, and off-site professionals in contact with the target demographic at 10-time points throughout the implementation. Results: The therapists experienced an improvement in the intake procedure. They reported having more relevant information about the patients to be used during the assessment and the treatment; they liked the new design better; there was a better alignment of expectations between patients and therapists; the patient group was generally a better fit for treatment after implementation; and more of the assessed patients were included in the program. The quantitative data support the interview data and describe a process of normalization that increases over time. Discussion: The ItFits-toolkit appears to have been an effective mediator of the implementation process. The therapists were aided in the process of change, resulting in an enhanced ability to target the patients who can benefit from the treatment program, less expenditure of time on the wrong population, and more satisfied therapists.

Days between sessions predict attrition in text-based internet intervention of Binge Eating Disorder.

Background: The number of days between treatment sessions is often overlooked as a predictor of attrition in psychotherapy. In text-based Internet interventions, days between sessions may be a simple yet powerful predictor of attrition. Objective: We hypothesized that a larger number of days between sessions increased the likelihood of attrition among participants with Binge Eating Disorder (BED) in a 12-session Internet-based cognitive behavioral therapy (iCBT) program. Participants could work on the sessions whenever convenient for them and received written support from a psychologist. Material and methods: We compared 201 adult participants with mild to moderate BED (85 non-completers and 116 completers) on the number of days between sessions to predict attrition rates. Results: Mixed model binomial logistic regression showed that non-completers spent significantly more days between sessions across the first four treatment sessions (1-4) when controlling for age, gender, and intake measures of BMI, BED, overall health status (EQ VAS), and depression symptoms (MDI) (OR = 1.042, p < .001). Age (OR = 0.976, p < .001) and EQ VAS (OR = 0.984, p < .001) were also significant. The risk of attrition increased by 4.2 % for each additional day participants spent completing a session.A receiver operating characteristic (ROC) curve analysis showed that classification accuracy increased across sessions from 61.1 % in session 1 and 65.7 % in session 2 to 68.8 % in session 3 and 73.2 % in session 4. The optimal cut-off point in session 4 was 17.5 days, which detected 60.4 % of non-completers (sensitivity) and 78.4 % of completers (specificity).An exploratory repeated measures of ANOVA of days between sessions showed a significant within-subjects effect, where both non-completers and completers spent more days between sessions as they progressed from sessions 1 through 4 (F = 20.54, df = 3, p < .001). There was no interaction effect, suggesting that the increase in slope did not differ between non-completers and completers. Conclusions: Participants spending more days between sessions are at increased risk of dropping out of treatment. This may have important implications for identifying measures to reduce attrition, e.g., intensifying interventions through automated reminders or therapist messages. Our findings may have important transdiagnostic implications for text-based Internet interventions. Further studies should investigate the predictive value of days between sessions in other diagnoses.

Effectiveness of Self-guided Tailored Implementation Strategies in Integrating and Embedding Internet-Based Cognitive Behavioral Therapy in Routine Mental Health Care: Results of a Multicenter Stepped-Wedge Cluster Randomized Trial.

BACKGROUND: Internet-based cognitive behavioral therapy (iCBT) services for common mental health disorders have been found to be effective. There is a need for strategies that improve implementation in routine practice. One-size-fits-all strategies are likely to be ineffective. Tailored implementation is considered as a promising approach. The self-guided integrated theory-based Framework for intervention tailoring strategies toolkit (ItFits-toolkit) supports local implementers in developing tailored implementation strategies. Tailoring involves identifying local barriers; matching selected barriers to implementation strategies; developing an actionable work plan; and applying, monitoring, and adapting where necessary. OBJECTIVE: This study aimed to compare the effectiveness of the ItFits-toolkit with implementation-as-usual (IAU) in implementing iCBT services in 12 routine mental health care organizations in 9 countries in Europe and Australia. METHODS: A stepped-wedge cluster randomized trial design with repeated measures was applied. The trial period lasted 30 months. The primary outcome was the normalization of iCBT delivery by service providers (therapists, referrers, IT developers, and administrators), which was measured with the Normalization Measure Development as a proxy for implementation success. A 3-level linear mixed-effects modeling was applied to estimate the effects. iCBT service uptake (referral and treatment completion rates) and implementation effort (hours) were used as secondary outcomes. The perceived satisfaction (Client Satisfaction Questionnaire), usability (System Usability Scale), and impact of the ItFits-toolkit by implementers were used to assess the acceptability of the ItFits-toolkit. RESULTS: In total, 456 mental health service providers were included in this study. Compared with IAU, the ItFits-toolkit had a small positive statistically significant effect on normalization levels in service providers (mean 0.09, SD 0.04; P=.02; Cohen d=0.12). The uptake of iCBT by patients was similar to that of IAU. Implementers did not spend more time on implementation work when using the ItFits-toolkit and generally regarded the ItFits-toolkit as usable and were satisfied with it. CONCLUSIONS: The ItFits-toolkit performed better than the usual implementation activities in implementing iCBT services in routine practice. There is practical utility in the ItFits-toolkit for supporting implementers in developing and applying effective tailored implementation strategies. However, the effect on normalization levels among mental health service providers was small. These findings warrant modesty regarding the effectiveness of self-guided tailored implementation of iCBT services in routine practice. TRIAL REGISTRATION: ClinicalTrials.gov NCT03652883; https://clinicaltrials.gov/ct2/show/NCT03652883. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-020-04686-4.

An analysis of patient motivation for seeking online treatment for binge eating disorder-A mixed methods study combining systematic text condensation with sentiment analysis.

Objective: Online treatment for binge eating disorder (BED) is an easily available option for treatment compared to most standard treatment procedures. However, little is known about how motivation types characterize this population and how these impact treatment adherence and effect in an online setting. Therefore, we aimed to investigate a sample of written motivation statements from BED patients, to learn more about how treatment and online treatment in particular, presents in this population. Methods: Using self-determination theory in a mixed methods context, we investigated which types of motivation were prevalent in our sample, how this was connected with patient sentiment, and how these constructs influence treatment and adherence. Results: Contrary to what most current literature suggests, we found that in our sample (n = 148), motivation type was not connected with treatment outcome. We did find a strong association between sentiment scores and motivation types, indicating the model is apt at detecting effects. We found that when comparing an adult and young adult population, they did not differ in motivation type and the treatment was equally effective in young adults and adults. In the sentiment scores there was a difference between sentiment score and adherence in the young adult group, as the more positive the young adults were, the less likely they were to complete the program. Discussion: Because motivation type does not influence online treatment to the same degree as it would in face-to-face treatment it indicates that the typical barriers to treatment may be less crucial in an online setting. This should be considered during intake; as less motivated patients may be able to adhere better to online treatment, because the latter imposes fewer barriers of the kind that only strong motivation can overcome. The fact that motivation type and sentiment score of the written texts are strongly associated, indicate a potential for automated models to detect motivation based on sentiment.

Early development of treatment motivation predicts adherence and symptom reduction in an internet-based guided self-help program for binge eating disorder.

Objective: Lack of motivation is widely acknowledged as a significant factor in treatment discontinuity and poor treatment outcomes in eating disorders. Treatment adherence is lower in internet-based treatment. The current study aimed to assess the relationship between treatment motivation and treatment outcomes in an internet-based therapist-guided intervention for Binge Eating Disorder (BED). Method: Adults (N = 153) with mild to moderate symptoms of BED participated in a 10-session internet-based treatment program. Baseline and between-session scores of "Readiness to change" and "Belief in change" were used to predict treatment completion and eating disorder symptom reduction (EDE-Q Global, BED-Q, and weekly number of binge eating episodes) at post-treatment. Results: Baseline treatment motivation could not predict treatment completion or symptom reduction. Early measures of treatment motivation (regression slope from sessions 1-5) significantly predicted both treatment completion and post-treatment symptom reduction. "Belief in change" was the strongest predictor for completing treatment (OR = 2.18, 95%-CI: 1.06, 4.46) and reducing symptoms (EDE-Q Global: B = -0.53, p = 0.001; number of weekly binge eating episodes: B = 0.81, p < 0.01). Discussion: The results indicated that patients entering online treatment for BED feel highly motivated. However, baseline treatment motivation could not significantly predict treatment completion, which contradicts previous research. The significant predictive ability of early measures of treatment motivation supports the clinical relevance of monitoring the development of early changes to tailor and optimize individual patient care. Further research is needed to examine treatment motivation in regard to internet-based treatment for BED with more validated measures.

Why treatment is not an option: Treatment naïve individuals, suffering from alcohol use disorders' narratives about alcohol use and treatment seeking.

Aims: To investigate the narratives of in- and outpatients at mental health and somatic hospitals, who suffer from alcohol use disorders (AUD) but have never sought AUD treatment. More specifically, to understand how the individuals view their alcohol use and explore their reasons for not seeking treatment. Methods: Individuals suffering from AUD were recruited at somatic and mental health hospitals. The study was qualitative, based on semi-structured individual interviews. A narrative analysis was performed. A total of six patients participated: three recruited at a mental health hospital, three from a somatic hospital. Results: The individuals described how heavy alcohol use had always characterised their lives; it was part of their surroundings and it added to their quality of life. Two narrative forms within the individuals' stories were identified, in which treatment was considered either as a positive option for others but not relevant for themselves, or as representing a threat to the individuals' autonomy. The participants expressed that they did not believe treatment was relevant for them, and if necessary, they preferred to deal with their heavy drinking themselves. Conclusions: Our findings indicate that a broad focus is needed if relatively more individuals suffering from AUD should seek treatment, since they - in spite of clearly suffering from AUD - nevertheless see themselves as heavy drinkers and have not even thought of seeking treatment. Thus, it is not (only) a question about the attractiveness of the treatment offer or due to lack of knowledge about treatment options that patients suffering from AUD do not seek treatment.

Behind the athletic body: a clinical interview study of identification of eating disorder symptoms and diagnoses in elite athletes.

Eating disorders are more prevalent in athletes than in the general population and may have severe consequences for sports performance and health. Identifying symptoms can be difficult in athletes because restrictive eating and slim body images are often idealised in a sports setting. The Eating Disorders Examination Questionnaire (EDE-Q) and the SCOFF (Sick, Control, One stone, Fat and Food) questionnaire (SCOFF) are widely used generic instruments to identify symptoms of eating disorders. This study aimed to investigate the instruments' validity and explore eating disorder symptoms in a sample of athletes. A sample of 28 athletes (25 females) competing at a national level was interviewed based on the diagnostic criteria for eating disorders. We interviewed 18 athletes with a high score on EDE-Q and 10 with a low score. All interviews were transcribed and analysed from a general inductive approach. We identified 20 athletes with an eating disorder diagnosis, while 8 had no diagnosis. EDE-Q found 90% of the cases, while SCOFF found 94%. EDE-Q found no false-positive cases, while SCOFF found one. The qualitative results showed that most athletes reported eating concerns, restrictive eating, eating control (counting calories), weight concerns, body dissatisfaction (feeling fat and non-athletic), excessive exercise and health problems (eg, pain, fatigue). In conclusion, EDE-Q and SCOFF seem valid instruments to screen athletes' samples but may fail to find 6%-10% cases with eating disorders. Despite athletic bodies and normal body mass index, many athletes report severe eating problems and dissatisfaction with weight and body appearance. Implementation of regular screening may identify these symptoms at an early stage.

Blended Treatment for Alcohol Use Disorder (Blend-A): Explorative Mixed Methods Pilot and Feasibility Study.

BACKGROUND: In Denmark, approximately 150,000 people have alcohol use disorder (AUD). However, only approximately 10% seek AUD treatment, preferably outside conventional health care settings and opening hours. The AUD treatment area experiences low adherence to treatment, as well as high numbers of no-show and premature dropouts. OBJECTIVE: The purpose of the Blend-A (Blended Treatment for Alcohol Use Disorder) feasibility and pilot study was to describe the process of translating and adapting the Dutch treatment protocol into Danish and Danish culture with a high amount of user involvement and to report how patients and therapists perceived the adapted version, when trying it out. METHODS: The settings were 3 Danish public municipal outpatient alcohol clinics. Study participants were patients and therapists from the 3 settings. Data consisted of survey data from the System Usability Scale, individual patient interviews, and therapist group interviews. Statistical analyses were conducted using the Stata software and Excel. Qualitative analysis was conducted using a theoretical thematic analysis. RESULTS: The usability of the treatment platform was rated above average. The patients chose to use the blended treatment format because it ensured anonymity and had a flexible design. Platform use formed the basis of face-to-face sessions. The use of the self-determined platform resulted in a more thorough process. Patient involvement qualified development of a feasible system. Managerial support for time use was essential. Guidance from an experienced peer was useful. CONCLUSIONS: This study indicates that, during the processes of translating, adapting, and implementing blended, guided, internet-based, and face-to-face AUD treatment, it is relevant to focus on patient involvement, managerial support, and guidance from experienced peers. Owing to the discrete and flexible design of the blended offer, it appears that it may reach patient groups who would not otherwise have sought treatment. Therefore, blended treatment may increase access to treatment and contribute to reaching people affected by excessive alcohol use, who would not otherwise have sought treatment. In addition, it seems that the blended offer may enhance the participants' perceived satisfaction and the effect of the treatment course. Thus, it appears that Blend-A may be able to contribute to existing treatment offers. Such findings highlight the need to determine the actual effect of the Blend-A offer; therefore, an effectiveness study with a controlled design is warranted.

Patient and therapist experiences of using a smartphone application monitoring anxiety symptoms.

PURPOSE: A smartphone application (app) from the company Monsenso was developed to monitor anxiety symptoms in the treatment of anxiety disorders as an alternative to paper registrations. The aim of the study was to explore patient and therapist experiences of using the app in conjunction with standard treatment for anxiety disorder in a developmental and implementation phase. METHOD: The study design was qualitative. Semi-structured interviews were conducted with three therapists and seven patients from an outpatient clinic. The interviews were analysed using thematic analysis. FINDINGS: Three main themes emerged for both patients and therapists. The patient themes were usability (it was easier to use the app and remember daily mood registrations), insight in own disorder (awareness of symptom progress), and support to use the app (support from the therapist was wanted). The therapist themes were therapeutic quality (app registrations made it easier to prepare sessions), the role of the therapist (enthusiasm and technical assistance affected the patient), and implementation challenges (time allocation is important). CONCLUSION: The anxiety monitoring app is recommended in standard treatment as an alternative to paper registrations. However, a successful development and implementation process include ready available technical support, time allocation, and therapist effort and enthusiasm.

BLEND-A: blending internet treatment into conventional face-to-face treatment for alcohol use disorder - a study protocol.

BACKGROUND: A major challenge to psychological treatment for alcohol use disorder (AUD) is patient non-compliance. A promising new treatment approach that is hypothesized to increase patient compliance is blended treatment, consisting of face-to-face contact with a therapist combined with modules delivered over the internet within the same protocol. While this treatment concept has been developed and proven effective for a variety of mental disorders, it has not yet been examined for AUD. AIMS: The study described in this protocol aims to examine and evaluate patient compliance with blended AUD treatment as well as the clinical and cost effectiveness of such treatment compared to face-to-face treatment only. METHODS: The study design is a pragmatic, stepped-wedge cluster randomized controlled trial. The included outpatient institutions (planned number of patients: n = 1800) will be randomized in clusters to implement either blended AUD treatment or face-to-face treatment only, i.e. treatment as usual (TAU). Both treatment approaches consist of motivational interviewing and cognitive behavioral therapy. Data on sociodemographics, treatment (e.g. intensity, duration), type of treatment conclusion (compliance vs. dropout), alcohol consumption, addiction severity, consequences of drinking, and quality of life, will be collected at treatment entry, at treatment conclusion, and 6 months after treatment conclusion. The primary outcome is compliance at treatment conclusion, and the secondary outcomes include alcohol consumption and quality of life at six-months follow-up. Data will be analyzed with an Intention-to-treat approach by means of generalized linear mixed models with a random effect for cluster and fixed effect for each step. Also, analyses evaluating cost-effectiveness will be conducted. DISCUSSION: Blended treatment may increase treatment compliance and thus improve treatment outcomes due to increased flexibility of the treatment course. Since this study is conducted within an implementation framework it can easily be scaled up, and when successful, blended treatment has the potential to become an alternative offer in many outpatient clinics nationwide and internationally. TRIAL REGISTRATION: Clinicaltrials.gov .: NCT04535258 , retrospectively registered 01.09.20.

Tailored implementation of internet-based cognitive behavioural therapy in the multinational context of the ImpleMentAll project: a study protocol for a stepped wedge cluster randomized trial.

BACKGROUND: Internet-based Cognitive Behavioural Therapy (iCBT) is found effective in treating common mental disorders. However, the use of these interventions in routine care is limited. The international ImpleMentAll study is funded by the European Union's Horizon 2020 programme. It is concerned with studying and improving methods for implementing evidence-based iCBT services for common mental disorders in routine mental health care. A digitally accessible implementation toolkit (ItFits-toolkit) will be introduced to mental health care organizations with the aim to facilitate the ongoing implementation of iCBT services within local contexts. This study investigates the effectiveness of the ItFits-toolkit by comparing it to implementation-as-usual activities. METHODS: A stepped wedge cluster randomized controlled trial (SWT) design will be applied. Over a trial period of 30 months, the ItFits-toolkit will be introduced sequentially in twelve routine mental health care organizations in primary and specialist care across nine countries in Europe and Australia. Repeated measures are applied to assess change over time in the outcome variables. The effectiveness of the ItFits-toolkit will be assessed in terms of the degree of normalization of the use of the iCBT services. Several exploratory outcomes including uptake of the iCBT services will be measured to feed the interpretation of the primary outcome. Data will be collected via a centralized data collection system and analysed using generalized linear mixed modelling. A qualitative process evaluation of routine implementation activities and the use of the ItFits-toolkit will be conducted within this study. DISCUSSION: The ImpleMentAll study is a large-scale international research project designed to study the effectiveness of tailored implementation. Using a SWT design that allows to examine change over time, this study will investigate the effect of tailored implementation on the normalization of the use of iCBT services and their uptake. It will provide a better understanding of the process and methods of tailoring implementation strategies. If found effective, the ItFits-toolkit will be made accessible for mental health care service providers, to help them overcome their context-specific implementation challenges. TRIAL REGISTRATION: ClinicalTrials.gov NCT03652883 . Retrospectively registered on 29 August 2018.

Effectiveness of internet-based guided self-help for binge-eating disorder and characteristics of completers versus noncompleters.

OBJECTIVE: Binge-eating disorder (BED) is characterized by recurrent episodes of binge eating, accompanied by a lack of control and feelings of shame. Online intervention is a promising, accessible treatment approach for BED. In the current study, we compared completers with noncompleters in a 10-session guided internet-based treatment program (iBED) based on cognitive behavioral therapy. METHODS: Adults (N = 75) with mild to moderate BED participated in iBED with weekly written support from psychologists. Participants were compared on the Eating Disorder Examination Questionnaire (EDE-Q), diagnostic criteria for BED (BED-Q), major depression inventory (MDI), quality of life (EQ-5D-5L), body mass index (BMI) and sociodemographic variables. RESULTS: Minor differences were observed between completers and noncompleters on depression. No differences were found in BED-symptoms, BMI, and sociodemographic variables. Participants who completed treatment showed large reductions in eating disorder pathology. DISCUSSION: More research is needed to determine risk factors for attrition or treatment outcome in internet-based interventions for BED. It is suggested that iBED is an efficient intervention for BED. However, more studies of internet-interventions are needed.

Gender Differences in Alcohol Treatment.

AIMS: Alcohol consumption is a threat to health worldwide and leads to substantial expenses for society. Previous studies have found differences between women and men regarding drinking behaviour and concluded that women need a more multipart type of alcohol use disorder (AUD) treatment. This study aims to examine the differences in outcome between women and men who have completed public outpatient alcohol treatment. METHODS: A total of 3452 patients, who completed AUD treatment from 2006 to 2018, were included in this follow-up study. Data were collected from the Odense Alcohol Treatment Database. Analyses were performed using a χ2 test and multiple logistic regression. RESULTS: The calculations showed that women in AUD treatment had a better outcome if they had children (AOR 0.46, P ≤ 0.001) or were living with a partner with AUD (AOR 0.25-0.33, P ≤ 0.001). Women had a worse outcome if they had a higher educational level (AOR 1.40-1.69, P ≤ 0.001) or were employed (AOR 1.66-1.78, P ≤ 0.001). CONCLUSIONS: This study found that women had more problems associated with alcohol consumption than men, both before and after completion of AUD treatment. Women with employment or education had a poorer outcome than their male counterparts, whereas childcare responsibilities or having a partner with AUD provided a better outcome.

Effectiveness of Optional Videoconferencing-Based Treatment of Alcohol Use Disorders: Randomized Controlled Trial.

BACKGROUND: Treatment of alcohol use disorders (AUDs) is characterized by an adherence rate below 50%. Clinical research has found that patient adherence enhances treatment effect; hence, health authorities, clinicians, and researchers strive to explore initiatives contributing to patients receiving treatment. Concurrently, videoconferencing-based treatment is gaining ground within other addiction and psychiatric areas. OBJECTIVE: The aim of this study was to test whether optional videoconferencing increases adherence to and effectiveness of AUD treatment in a randomized controlled trial (RCT). We hypothesized that the intervention would decrease premature dropout (the primary outcome), as well as increase successful treatment termination, treatment duration, and treatment outcome (secondary outcomes). METHODS: We conducted this study in the public outpatient alcohol clinic in Odense, Denmark, between September 2012 and April 2013. It was an RCT with 2 groups: treatment as usual (TAU) and treatment as usual with add-on intervention (TAU+I). The TAU+I group had the option, from session to session, to choose to receive treatment as usual via videoconferencing. Data consisted of self-reported responses to the European version of the Addiction Severity Index (EuropASI). We collected data at baseline, at follow-up at 3, 6, and 12 months, and at discharge. RESULTS: Among consecutive patients attending the clinic, 128 met the inclusion criteria, and 71 of them were included at baseline. For the primary outcome, after 180 days, 2 of 32 patients (6%) in the TAU+I group and 12 of 39 patients (31%) in the TAU group had dropped out prematurely. The difference is significant (P=.008). After 365 days, 8 patients (25%) in the TAU+I group and 17 patients (44%) in the TAU group had dropped out prematurely. The difference is significant (P=.02). For the secondary outcomes, significantly more patients in the TAU+I group were still attending treatment after 1 year (P=.03). We found no significant differences between the 2 groups with regard to successful treatment termination and treatment outcome. CONCLUSIONS: The results indicate that offering patients optional videoconferencing may prevent premature dropouts from treatment and prolong treatment courses. However, the small sample size precludes conclusions regarding the effect of the intervention, which was not detectable in the patients' use of alcohol and severity of problems. TRIAL REGISTRATION: The Regional Health Research Ethics Committee System in Denmark: S-20110052; https://komite.regionsyddanmark.dk/wm258128 (Archived by WebCite at http://www.webcitation.org/6tTL3CO6u).

Patient Satisfaction With Videoconferencing-based Treatment for Alcohol Use Disorders.

OBJECTIVES: The objectives of this study are (1) to compare the satisfaction between patients who have received treatment as usual face-to-face (TAU group) and patients who have received optional videoconferencing-based treatment for alcohol use disorders (TAU+I group); and (2) to elaborate on the TAU+I group's satisfaction with the treatment in general and the technical equipment. METHODS: The design consisted of mixed methods: a survey and a qualitative study. Data consisted of self-reported data from questionnaires filled out by both groups and semistructured interviews with the TAU+I group. Data from the questionnaires were analyzed statistically using Stata. The semistructured interviews were analyzed using a general inductive approach. RESULTS: The survey indicated that the TAU+I group and TAU group were equally satisfied with the elements in the treatment. The interview indicated that the TAU+I group seemed to have a high satisfaction with most elements in the treatment. Patients who used videoconferencing were satisfied with establishing the videoconferencing connection and with the picture quality but less satisfied with the sound quality. CONCLUSIONS: Overall, the patients were satisfied with the treatment. We saw a nonsignificant tendency that the TAU+I group were more satisfied with the treatment in general, compared with the TAU group. It is a possibility that patients in this group felt more satisfied with the treatment as they had the opportunity to choose videoconferencing. Offering videoconferencing-based treatment may be a positive feature in the treatment and lead to improved outcomes of the treatment courses. The technical equipment and routine using it should be improved in future studies or during implementation.