Hein A. de Haan

E-therapy for mental health problems: a systematic review.

The widespread availability of the Internet offers opportunities for improving access to therapy for people with mental health problems. There is a seemingly infinite supply of Internet-based interventions available on the World Wide Web. The aim of the present study is to systematically assess the methodological quality of randomized controlled trials (RCTs) concerning e-therapy for mental health problems. Two reviewers independently assessed the methodological quality of the RCTs, based on a list of criteria for the methodological quality assessment as recommended by the Cochrane Back Review Group. The search yielded 14 papers that reported RCTs concerning e-therapy for mental-health problems. The methodological quality of studies included in this review was generally low. It is concluded that e-therapy may turn out to be an appropriate therapeutic entity, but the evidence needs to be more convincing. Recommendations are made concerning the method of reporting RCTs and the need to add some content items to an e-therapy study.

Effectiveness of a web-based intervention for problem drinkers and reasons for dropout: randomized controlled trial.

Background Online self-help interventions for problem drinkers show promising results, but the effectiveness of online therapy with active involvement of a therapist via the Internet only has not been examined. Objective The objective of our study was to evaluate an e-therapy program with active therapeutic involvement for problem drinkers, with the hypotheses that e-therapy would (1) reduce weekly alcohol consumption, and (2) improve health status. Reasons for dropout were also systematically investigated. Method In an open randomized controlled trial, Dutch-speaking problem drinkers in the general population were randomly assigned (in blocks of 8, according to a computer-generated random list) to the 3-month e-therapy program (n = 78) or the waiting list control group (n = 78). The e-therapy program consisted of a structured 2-part online treatment program in which the participant and the therapist communicated asynchronously, via the Internet only. Participants in the waiting list control group received “no-reply” email messages once every 2 weeks. The primary outcome measures were (1) the difference in the score on weekly alcohol consumption, and (2) the proportion of participants drinking under the problem drinking limit. Intention-to-treat analyses were performed using multiple imputations to deal with loss to follow-up. A dropout questionnaire was sent to anyone who did not complete the 3-month assessment. Reasons for dropout were independently assessed by the first and third author. Results Of the 156 individuals who were randomly assigned, 102 (65%) completed assessment at 3 months. In the intention-to-treat analyses, the e-therapy group (n = 78) showed a significantly greater decrease in alcohol consumption than those in the control group (n = 78) at 3 months. The e-therapy group decreased their mean weekly alcohol consumption by 28.8 units compared with 3.1 units in the control group, a difference in means of 25.6 units on a weekly basis (95% confidence interval 15.69-35.80, P < .001). The between-group effect size (pooled SD) was large (d = 1.21). The results also showed that 68% (53/78) of the e-therapy group was drinking less than 15 (females) or 22 (males) units a week, compared with 15% (12/78) in the control group (OR 12.0, number needed to treat 1.9, P < .001). Dropout analysis showed that the main reasons for dropouts (n = 54) were personal reasons unrelated to the e-therapy program, discomfort with the treatment protocol, and satisfaction with the positive results achieved. Conclusions E-therapy for problem drinking is an effective intervention that can be delivered to a large population who otherwise do not seek help for their drinking problem. Insight into reasons for dropout can help improve e-therapy programs to decrease the number of dropouts. Additional research is needed to directly compare the effectiveness of the e-therapy program with a face-to-face treatment program. Trial registration ISRCTN39104853; http://controlled-trials.com/ISRCTN39104853/ISRCTN39104853 (Archived by WebCite at http://www.webcitation.org/5uX1R5xfW)

Attrition in Web-Based Treatment for Problem Drinkers

Background Web-based interventions for problem drinking are effective but characterized by high rates of attrition. There is a need to better understand attrition rates in order to improve the completion rates and the success of Web-based treatment programs. Objective The objectives of our study were to (1) examine attrition prevalence and pretreatment predictors of attrition in a sample of open-access users of a Web-based program for problem drinkers, and (2) to further explore attrition data from our randomized controlled trial (RCT) of the Web-based program. Methods Attrition data from two groups of Dutch-speaking problem drinkers were collected: (1) open-access participants enrolled in the program in 2009 (n = 885), and (2) RCT participants (n = 156). Participants were classified as noncompleters if they did not complete all 12 treatment sessions (9 assignments and 3 assessments). In both samples we assessed prevalence of attrition and pretreatment predictors of treatment completion. Logistic regression analysis was used to explore predictors of treatment completion. In the RCT sample, we additionally measured reasons for noncompletion and participants’ suggestions to enhance treatment adherence. The qualitative data were analyzed using thematic analysis. Results The open-access and RCT group differed significantly in the percentage of treatment completers (273/780, 35.0% vs 65/144, 45%, χ2 1 = 5.4, P = .02). Logistic regression analysis revealed a significant contribution of treatment readiness, gender, education level, age, baseline alcohol consumption, and readiness to change to predict treatment completion. The key reasons for noncompletion were personal reasons, dissatisfaction with the intervention, and satisfaction with their own improvement. The main suggestions for boosting strategies involved email notification and more flexibility in the intervention. Conclusions The challenge of Web-based alcohol treatment programs no longer seems to be their effectiveness but keeping participants involved until the end of the treatment program. Further research should investigate whether the suggested strategies to improve adherence decrease attrition rates in Web-based interventions. If we can succeed in improving attrition rates, the success of Web-based alcohol interventions will also improve and, as a consequence, their public health impact will increase. Trial International Standard Randomized Controlled Trial Number (ISRCTN): 39104853; http://www.controlled-trials.com/ISRCTN39104853 (Archived by WebCite at http://www.webcitation.org/63IKDul1T)

Effects of consuming alcohol mixed with energy drinks versus consuming alcohol only on overall alcohol consumption and negative alcohol-related consequences

Background The aim of this study was to examine differences in alcohol consumption and its consequences when consumed alone and when mixed with energy drinks. Methods A survey was conducted among Dutch students at Utrecht University and the College of Utrecht. We collected data on alcohol consumption and alcohol-related consequences of alcohol consumed alone and/or alcohol mixed with energy drinks (AMED). The data were analyzed using a retrospective within-subject design, comparing occasions when subjects consumed AMED with those when they consumed alcohol only in the past 30 days. Results A representative sample of 6002 students completed the survey, including 1239 who consumed AMED. Compared with consuming alcohol only, when consuming AMED, students consumed significantly fewer alcoholic drinks on an average drinking day (6.0 versus 5.4, respectively), and reported significantly fewer drinking days in the previous month (9.2 versus 1.4), significantly fewer days being drunk (1.9 versus 0.5), and significantly fewer occasions of consuming more than four (female)/five (male) alcoholic drinks (4.7 versus 0.9). The maximum number of mixed alcoholic drinks (4.5) in the previous month was significantly lower when compared with occasions when they consumed alcohol only (10.7). Accordingly, the mean duration of a drinking session was significantly shorter when mixing alcoholic drinks (4.0 versus 6.0 hours). Finally, when consuming AMED, significantly fewer alcohol-related consequences were reported (2.6) for the previous year, including driving a car while intoxicated, taking foolish risks, or being injured or hurt, as compared with alcohol-related consequences when consuming alcohol only (4.9). Conclusion Mixing alcohol with energy drinks decreases overall alcohol consumption, and decreases the likelihood of experiencing negative alcohol-related consequences.

Alexithymia in patients with substance use disorders: State or trait?

Previous research on substance use disorders (SUD) has yielded conflicting results concerning whether alexithymia is a state or trait, raising the question of how alexithymia should be addressed in the treatment of SUD-patients. The absolute and relative stabilities of alexithymia were assessed using the Toronto Alexithymia Scale (TAS-20) and its subscales. In total, 101 patients with SUD were assessed twice during a 3-week inpatient detoxification period while controlling for withdrawal symptoms and personality disorder traits. The relative stability of the total TAS-20 and subscales was moderate to high but showed remarkable differences between baseline low, moderate, and high alexithymic patients. A small reduction in the mean levels of the total TAS-20 scores and those of one subscale revealed the absence of absolute stability. The levels of alexithymia were unrelated to changes in withdrawal symptoms, including anxiety- and depression-like symptoms. The differences between low, moderate, and high alexithymic patients in terms of the change in alexithymia scores between baseline and follow-up indicated a strong regression to the mean. The findings suggest that alexithymia in SUD patients as measured using the TAS-20 is both a state and trait phenomenon and does not appear to be related to changes in anxiety- and depression-like symptoms.

Web-Based Cognitive Behavioral Therapy for Female Patients With Eating Disorders: Randomized Controlled Trial

Background Many patients with eating disorders do not receive help for their symptoms, even though these disorders have severe morbidity. The Internet may offer alternative low-threshold treatment interventions. Objective This study evaluated the effects of a Web-based cognitive behavioral therapy (CBT) intervention using intensive asynchronous therapeutic support to improve eating disorder psychopathology, and to reduce body dissatisfaction and related health problems among patients with eating disorders. Methods A two-arm open randomized controlled trial comparing a Web-based CBT intervention to a waiting list control condition (WL) was carried out among female patients with bulimia nervosa (BN), binge eating disorder (BED), and eating disorders not otherwise specified (EDNOS). The eating disorder diagnosis was in accordance with the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, and was established based on participants’ self-report. Participants were recruited from an open-access website, and the intervention consisted of a structured two-part program within a secure Web-based application. The aim of the first part was to analyze participant’s eating attitudes and behaviors, while the second part focused on behavioral change. Participants had asynchronous contact with a personal therapist twice a week, solely via the Internet. Self-report measures of eating disorder psychopathology (primary outcome), body dissatisfaction, physical health, mental health, self-esteem, quality of life, and social functioning were completed at baseline and posttest. Results A total of 214 participants were randomized to either the Web-based CBT group (n=108) or to the WL group (n=106) stratified by type of eating disorder (BN: n=44; BED: n=85; EDNOS: n=85). Study attrition was low with 94% of the participants completing the posttest assignment. Overall, Web-based CBT showed a significant improvement over time for eating disorder psychopathology (F 97=63.07, P<.001, d=.82) and all secondary outcome measures (effect sizes between d=.34 to d=.49), except for Body Mass Index. WL participants also improved on most outcomes; however, effects were smaller in this group with significant between-group effects for eating disorder psychopathology (F 201=9.42, P=.002, d=.44), body dissatisfaction (F 201=13.16, P<.001, d=.42), physical health (F 200=12.55, P<.001, d=.28), mental health (F 203=4.88, P=.028, d=.24), self-esteem (F 202=5.06, P=.026, d=.20), and social functioning (F 205=7.93, P=.005, d=.29). Analyses for the individual subgroups BN, BED, and EDNOS showed that eating disorder psychopathology improved significantly over time among Web-based CBT participants in all three subgroups; however, the between-group effect was significant only for participants with BED (F 78=4.25, P=.043, d=.61). Conclusions Web-based CBT proved to be effective in improving eating disorder psychopathology and related health among female patients with eating disorders. Trial Registration Nederlands Trial Register (NTR): NTR2415; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2415 (Archived by WebCite at http://www.webcitation.org/6T2io3DnJ).

Alcohol mixed with energy drinks: methodology and design of the Utrecht Student Survey.

This paper describes the methodology of the Utrecht Student Survey. This online survey was conducted in June 2011 by 6002 students living in Utrecht, The Netherlands. The aim of the survey was to determine the potential impact of mixing alcoholic beverages with energy drinks on overall alcohol consumption and alcohol-related consequences. In contrast to most previous surveys conducted on this topic, the current survey used a more appropriate within-subject design, comparing the alcohol consumption of individuals who consume alcohol mixed with energy drinks on occasions. Specifically, a comparison was conducted to examine the occasions during which these individuals consume this mixture versus occasions during which they consume alcohol alone. In addition to energy drinks, the consumption of other non-alcoholic mixers was also assessed when combined with alcoholic beverages. Furthermore, the reasons for consuming energy drinks alone or in combination with alcohol were investigated, and were compared to reasons for mixing alcohol with other non-alcoholic beverages. Finally, personality characteristics and the level of risk-taking behavior among the individuals were also assessed to explore their relationship with alcohol consumption. The Utrecht Student Survey will be replicated in the USA, Australia, and the UK. Results will be pooled, but also examined for possible cross-cultural differences.

The Level of Alexithymia in Alcohol-Dependent Patients Does Not Influence Outcomes after Inpatient Treatment

Background: The inability of individuals with Alcohol Use Disorders (AUD) to recognize and describe their feelings and cravings may be due to alexithymia. Previous researches have shown evidence for a negative influence of alexithymia on treatment outcomes in patients with AUD. Therefore, it was hypothesized that high alexithymic patients with AUD would benefit less from cognitive behavioral therapy (CBT) compared with low alexithymic patients. Methods: One hundred alcohol-dependent inpatients (DSM IV) were assessed with the Mini International Neuropsychiatric Interview for psychiatric disorders, the Toronto Alexithymia Scale (TAS-20), and the European Addiction Severity Index (EuropASI). Baseline alexithymia, as a categorical and continuous variable, was used to compare or relate baseline demographic and addiction characteristics, time in treatment, abstinence, and differences in addiction severity at 1-year follow-up. Analyses were performed using χ2 test, analysis of variance or Kruskal–Wallis, paired t-tests or Wilcoxon’s signed rank tests, multivariate logistic, and linear regression models, as appropriate. Results: The prevalence of high alexithymia (TAS-20 > 61) was 45%. The total TAS-20 score correlated negatively with years of education (r = −.21; p = .04) and positively with the psychiatry domain of the EuropASI (r = .23; p = .04). Alexithymia showed no relation to abstinence, time in treatment, or change in severity of alcohol-related problems on the EuropASI. Conclusion: High alexithymic patients with AUD do benefit equally from inpatient CBT-like treatment as low alexithymic patients with AUD. Scientific significance: Multimethod alexithymia assessments with an observer scale have been advised to judge the relationship with resulting outcome in CBT.

A family history of alcoholism relates to alexithymia in substance use disorder patients

OBJECTIVES Previous research identified alexithymia as a potential risk factor for substance use disorders (SUD). More insight into the relation between alexithymia and SUD is needed in order to treat SUD effectively. Therefore, we investigated whether a familial vulnerability to alcoholism relates to the presence and severity of alexithymia in SUD patients. METHOD Hospitalized, abstinent SUD-patients (n=187), were assessed with the Toronto Alexithymia Scale (TAS-20) and Addiction Severity Index (EuropASI). A maternal, paternal, and total continuous measure of the Family History of Alcohol (FHA) was developed. Kruskal-Wallis tests and Spearman correlations were used to relate the composite scores of FHA to alexithymia as a categorical and continuous measure. Multivariate regression models were performed to control for the effects of confounders on the relation between FHA and alexithymia. RESULTS Compared to moderate (33%) and low (17%) alexithymic SUD-patients, high alexithymic (50%) patients were more likely to have fathers with alcohol problems (P=0.004). Such a difference was not found for mothers with alcohol problems. The composite FHA-score was significantly associated with alexithymia (Rs=.19, P=0.01). However, only a paternal FHA, independent from disturbed family functioning, related to the degree of alexithymia (β=.13, P=0.06), especially to the Difficulty Identifying Feelings as measured by the TAS-20 (β=.16, P=0.02). CONCLUSIONS The relation between a paternal FHA and a higher degree of alexithymia in SUD-patients suggests that alexithymia could mediate the familiality of alcoholism or SUD in the paternal line.

Validation of two screening instruments for PTSD in Dutch substance use disorder inpatients

Posttraumatic stress disorder (PTSD) is highly prevalent in substance use disorder (SUD) populations. Because resources for extensive and thorough diagnostic assessment are often limited, reliable screening instruments for PTSD are needed. The aim of the current study was to test two short PTSD measures for diagnostic efficiency in predicting PTSD compared to the Clinician-Administered PTSD Scale (CAPS). The sample consisted of 197 SUD patients receiving residential substance use treatment who completed questionnaires regarding substance use and trauma-related symptoms, all abstinent from substance for 4weeks. The PTSD section of the Mini International Neuropsychiatric Interview plus (MINIplus) and the Self-Report Inventory for PTSD (SRIP) are compared to the CAPS. Results showed low sensitivity (.58) and high specificity (.91) for the PTSD section of the MINIplus. The SRIP showed high sensitivity (.80) and moderately high specificity (.73) at a cut-off score of 48. The prevalence of PTSD as measured with the CAPS was 25.4% current and 46.2% lifetime. Results indicate that the MINIplus, a short clinical interview, has insufficient quality as a screener for PTSD. The SRIP, however, is a reliable instrument in detecting PTSD in a SUD inpatient population in The Netherlands. Screening for PTSD is time efficient and increases detection of PTSD in SUD treatment settings.