Guided Internet Interventions Research Articles

Transforming guided internet interventions into simplified and self-guided digital tools – Experiences from three recent projects

IntroductionTherapist-guided internet interventions are often more efficacious than unguided ones. However, the guidance itself requires clinician time, and some research suggests that self-guided interventions could potentially be equally effective. The concept of digital psychological self-care, self-guided internet interventions based on the use of digital tools and provided within a structured clinical process, is presented. MethodsThree new self-care interventions, a sleep diary-based intervention for insomnia, an alcohol diary-based intervention for problematic alcohol use and an intervention with exposure and mindfulness tools for atopic dermatitis (eczema), were developed. Newly developed digital self-care interventions were compared to the earlier therapist-guided interventions they were based on, using published results from three feasibility trials (n's = 30, 36 and 21) and three randomized trials (n's = 148, 166 and 102). The comparison included type of content, duration, length of written material and within-group effect-sizes. ResultsIn comparison to the guided interventions, clinician time was greatly reduced and the new interventions involved much less reading for participants. The digital self-care tools also showed within-group effect sizes and response rates on par with the more comprehensive guided internet interventions. DiscussionPreliminary results suggest that some guided internet interventions can be transformed into self-guided digital tools. These three examples show that digital psychological self-care, if provided with telephone interviews before and after the intervention, can be viable alternatives to more comprehensive guided internet interventions. Although these examples are promising, further studies, including randomized experiments, are needed to compare treatment efficacies, and to identify which groups of patients may need more comprehensive guided internet interventions.

What I missed from my online therapist: A survey-based qualitative investigation of patient experiences of therapist contact in guided internet interventions.

The effectiveness of internet-delivered cognitive behavioral therapy (ICBT) in alleviating symptoms of psychological disorders has been demonstrated across qualitative and quantitative studies. Generally, guided ICBT is considered more effective than unguided ICBT. Yet, what therapist contact and guidance specifically add to the treatment is less clear. There is a need for more knowledge about how patients experience the relationship with their therapist in guided ICBT. The aim of the study was to explore what patients missed in the contact with their therapist in guided ICBT in routine care. The study used a qualitative design to explore patients´ experiences of the therapist contact in guided ICBT for social anxiety disorder, panic disorder and major depressive disorder. Following treatment, 579 patients received a survey with the open-ended question "What did you miss in the contact with your therapist?" The responses were explored thematically using qualitative content analysis. A total of 608 unique responses were provided. Of these, 219 responses gave voice to some degree of perceived lack or limitation in their interaction with the therapist or the treatment in general. The analysis yielded three main categories: The first theme, Therapist-ascribed shortcomings, concerned experiences of something missing or lacking in the contact with the ICBT therapist. More specifically, the patients expressed a need for more emotionally attuned and tailored interaction. The second theme was Program obstacles, encompassing expressed wishes for increased therapist responsivity and more contact face-to-face. Self-attributed limitations, the third category, concerned patient experiences of barriers to treatment engagement as originating in themselves. This study sheds light on what patients receiving guided ICBT in routine care missed in the contact with their therapist. The patients who expressed that something was missing in the contact with their therapist constituted a small part of the responses in the sample, even after being directly asked. The themes that emerged point to significant experiences of being inadequately related and responded to, both with potential adverse consequences for the treatment. These findings give new insights to the role of the guidance in ICBT and have implications for the training and supervision of guided ICBT therapists.

Working alliance and adherence mediate the effect of guidance in a web-based program for participants with mild to moderate depressive symptoms: A secondary mediation analysis

Guided web-based self-help programs for individuals with depressive symptoms have shown to be more efficacious than unguided programs. However, research has paid little attention to why guided interventions are superior. The present study investigated whether working alliance and adherence to the program mediated the effect of guidance on depressive symptom outcome.The study is a secondary analysis of a randomized factorial trial. In the trial, 302 adults with mild to moderate depressive symptoms (Patient Health Questionnaire–9 score: 5–14) were randomized to either a guided or an unguided group. All participants received access to a web-based self-help program based on problem-solving therapy. Working alliance with the treatment providers was assessed using an adapted version of the Working Alliance Inventory for Guided Internet Interventions two weeks (early-treatment) and eight weeks (post-treatment) after pre-treatment. The primary outcome was depressive symptoms at post-treatment.The total working alliance score was significantly higher for guided participants compared to unguided participants (at early-treatment: t248.6 = −3.36, p < .001, d = 0.42, at post-treatment: t194.9 = −4.77, p < .001, d = 0.66). The total working alliance score correlated significantly with the change in depressive symptoms for guided (rs = 0.16, 0.34) and unguided participants (rs = 0.26, 0.23). The WAI-I total score statistically mediated the relationship between guidance and outcome (at early-treatment: B = −0.028, at post-treatment: B = −0.053). Furthermore, the subscale tasks (at post-treatment: B = −0.051), the subscale goals (at early-treatment: B = −0.031 and at post-treatment: B = −0.052), and adherence to the program (B = −0.034) mediated the relationship between guidance and outcome. Finally, in a multiple mediation model both early-treatment working alliance and adherence to the program (B = −0.050) mediated the relationship between guidance and outcome.These findings indicate that guidance increases working alliance to treatment providers as early as two weeks after treatment beginning. The alliance predicts outcome and mediates the relationship between guidance and outcome. Participants' agreement with tasks and goals of a program seems to be more important than the bond with treatment providers. Treatment providers might therefore attune web-based programs to the preferences and expectations of participants. In addition to the working alliance, adherence to the program co-mediates the relationship between guidance and outcome.

The Role of Emotion Regulation and Loss-Related Coping Self-efficacy in an Internet Intervention for Grief: Mediation Analysis.

BackgroundInternet interventions for mental disorders and psychological problems such as prolonged grief have established their efficacy. However, little is known about how internet interventions work and the mechanisms through which they are linked to the outcomes.ObjectiveAs a first step in identifying mechanisms of change, this study aimed to examine emotion regulation and loss-related coping self-efficacy as putative mediators in a randomized controlled trial of a guided internet intervention for prolonged grief symptoms after spousal bereavement or separation or divorce.MethodsThe sample comprised older adults who reported prolonged grief or adaptation problems after bereavement, separation, or divorce and sought help from a guided internet intervention. They were recruited mainly via newspaper articles. The outcome variables were grief symptoms assessed using the Texas Revised Inventory of Grief and psychopathology symptoms assessed using the Brief Symptom Inventory. A total of 6 module-related items assessed loss-focused emotion regulation and loss-related coping self-efficacy. In the first step, path models were used to examine emotion regulation and loss-related coping self-efficacy as single mediators for improvements in grief and psychopathology symptoms. Subsequently, exploratory path models with the simultaneous inclusion of emotion regulation and self-efficacy were used to investigate the specificity and relative strength of these variables as parallel mediators.ResultsA total of 100 participants took part in the guided internet intervention. The average age was 51.11 (SD 13.60) years; 80% (80/100) were separated or divorced, 69% (69/100) were female, and 76% (76/100) were of Swiss origin. The internet intervention increased emotion regulation skills (β=.33; P=.001) and loss-related coping self-efficacy (β=.30; P=.002), both of which correlated with improvements in grief and psychopathology symptoms. Path models suggested that emotion regulation and loss-related coping self-efficacy were mediators for improvement in grief. Emotion regulation showed a significant indirect effect (β=.13; P=.009), whereas coping self-efficacy showed a trend (β=.07; P=.06). Both were confirmed as mediators for psychopathology (β=.12, P=.02; β=.10; P=.02, respectively). The path from the intervention to the improvement in grief remained significant when including the mediators (β=.26, P=.004; β=.32, P≤.001, respectively) in contrast to the path from the intervention to improvements in psychopathology (β=.15, P=.13; β=.16, P=.10, respectively).ConclusionsEmotion regulation and loss-related coping self-efficacy are promising therapeutic targets for optimizing internet interventions for grief. Both should be further examined as transdiagnostic or disorder-specific putative mediators in internet interventions for other disorders.Trial RegistrationClinicalTrials.gov NCT02900534; https://clinicaltrials.gov/ct2/show/NCT02900534International Registered Report Identifier (IRRID)RR2-10.1186/s13063-016-1759-5

User Experience and Effects of an Individually Tailored Transdiagnostic Internet-Based and Mobile-Supported Intervention for Anxiety Disorders: Mixed-Methods Study.

BackgroundInternet interventions have been shown to be effective in treating anxiety disorders. Most interventions to date focus on single disorders and disregard potential comorbidities.ObjectiveThe aim of this mixed-methods study was to investigate feasibility, user experience, and effects of a newly developed individually tailored transdiagnostic guided internet intervention for anxiety disorders.MethodsThis study is an uncontrolled, within-group, baseline, postintervention pilot trial with an embedded qualitative and quantitative process and effect evaluation. In total, 49 adults with anxiety disorders (generalized anxiety disorder n=20, social phobia n=19, agoraphobia without panic n=12, panic with agoraphobia n=6, panic without agoraphobia n=4, subclinical depression n=41) received access to the 7-session intervention. We examined motivation and expectations, intervention use, user experience, impact, and modification requests. Qualitative data were assessed using semistructured interviews and analyzed by qualitative content analysis. Quantitative outcomes included symptom severity of anxiety and depression (Hamilton Anxiety Rating Scale [HAM-A], Quick Item Inventory of Depressive Symptomatology clinician rating [QIDS-C]), diagnostic status in clinical interviews (Mini International Neuropsychiatric Interview [MINI]), and web-based self-reports (Generalized Anxiety Disorder–7 [GAD-7], Center for Epidemiological Studies Depression Scale [CES-D], Beck Anxiety Inventory [BAI], Panic and Agoraphobia Scale [PAS], Social Phobia Scale [SPS], Patient Health Questionnaire–9 [PHQ-9]) at baseline and postassessment. Quantitative data was analyzed by comparing within-group means expressed as Cohen d.ResultsAnxiety symptom severity (HAM-A d=1.19) and depressive symptoms (QIDS-C d=0.42) improved significantly, and 54% (21/39) no longer were diagnosed as having any anxiety disorder. The main positive effects were the general improvement of disease burden and attentiveness to feelings and risk situations while the main negative effects experienced were lack of change in disease burden and symptom deterioration. The most prevalent reasons for participation were the advantages of online treatment, symptom burden, and openness toward online treatment. Helpful factors included support, psychoeducation and practicing strategies in daily life; the main hindering factors were too little individualization and being overwhelmed by the content and pace.ConclusionsThe intervention was found to be feasible and results show preliminary data indicating potential efficacy for improving anxiety and depression. The next step should be the evaluation within a randomized controlled trial. Concerning intervention development, it was found that future interventions should emphasize individualization even more in order to further improve the fit to individual characteristics, preferences, and needs.

Immediate and long-term effectiveness of adding an Internet intervention for depression to routine outpatient psychotherapy: Subgroup analysis of the EVIDENT trial

ObjectiveTo examine immediate and long-term effectiveness of an adjunctive Internet intervention for depression in a large sample of patients undergoing routine psychotherapy. MethodThe current study evaluated a subgroup of patients from the Evident trial, a randomized investigation of a 12-week minimally guided Internet intervention (Deprexis) for the treatment of mild to moderate depression. 340 adults (mean age = 43.3 years; 71.7 % female) of the original sample received routine outpatient psychotherapy during the trial period, resulting in a standard psychotherapy group (n = 174) and an augmented therapy group (n = 166). Outcomes were assessed at baseline, post-treatment and 6-month follow-up. ResultsIntention-to-treat analyses indicated that combined treatment led to a greater reduction in symptoms of depression (effect size d = 0.32; p = .002), improved therapeutic progress (d = 0.36; p = .003), and higher mental health-related quality of life (d = 0.34; p = .004). There was no intervention effect on physical health-related quality of life. The same pattern was found at 6-month follow-up, and adjunctive treatment also resulted in increased rates of clinical improvement. Treatment success was independent from therapeutic orientation of combined face-to-face therapy. ConclusionResults indicate that the adjunctive use of the investigated intervention can produce additional and lasting effects in routine outpatient psychotherapy for mild to moderate levels of depression. The study adds to the ongoing evidence on augmented effects of blended treatment. Future studies should investigate different types of blends in diverse populations by means of change-sensitive assessment strategies.

The Association of Therapeutic Alliance With Long-Term Outcome in a Guided Internet Intervention for Depression: Secondary Analysis From a Randomized Control Trial.

BackgroundTherapeutic alliance has been well established as a robust predictor of face-to-face psychotherapy outcomes. Although initial evidence positioned alliance as a relevant predictor of internet intervention success, some conceptual and methodological concerns were raised regarding the methods and instruments used to measure the alliance in internet interventions and its association with outcomes.ObjectiveThe aim of this study was to explore the alliance-outcome association in a guided internet intervention using a measure of alliance especially developed for and adapted to guided internet interventions, showing evidence of good psychometric properties.MethodsA sample of 223 adult participants with moderate depression received an internet intervention (ie, Deprexis) and email support. They completed the Working Alliance Inventory for Guided Internet Intervention (WAI-I) and a measure of treatment satisfaction at treatment termination and measures of depression severity and well-being at termination and 3- and 9-month follow-ups. For data analysis, we used two-level hierarchical linear modeling that included two subscales of the WAI-I (ie, tasks and goals agreement with the program and bond with the supporting therapist) as predictors of the estimated values of the outcome variables at the end of follow-up and their rate of change during the follow-up period. The same models were also used controlling for the effect of patient satisfaction with treatment.ResultsWe found significant effects of the tasks and goals subscale of the WAI-I on the estimated values of residual depressive symptoms (γ02=−1.74, standard error [SE]=0.40, 95% CI −2.52 to −0.96, t206=−4.37, P<.001) and patient well-being (γ02=3.10, SE=1.14, 95% CI 0.87-5.33, t198=2.72, P=.007) at the end of follow-up. A greater score in this subscale was related to lower levels of residual depressive symptoms and a higher level of well-being. However, there were no significant effects of the tasks and goals subscale on the rate of change in these variables during follow-up (depressive symptoms, P=.48; patient well-being, P=.26). The effects of the bond subscale were also nonsignificant when predicting the estimated values of depressive symptoms and well-being at the end of follow-up and the rate of change during that period (depressive symptoms, P=.08; patient well-being, P=.68).ConclusionsThe results of this study point out the importance of attuning internet interventions to patients’ expectations and preferences in order to enhance their agreement with the tasks and goals of the treatment. Thus, the results support the notion that responsiveness to a patient’s individual needs is crucial also in internet interventions. Nevertheless, these findings need to be replicated to establish if they can be generalized to different diagnostic groups, internet interventions, and supporting formats.

The Effectiveness of a Guided Internet-Based Tool for the Treatment of Depression and Anxiety in Pregnancy (MamaKits Online): Randomized Controlled Trial.

BackgroundPregnant women with symptoms of depression or anxiety often do not receive adequate treatment. In view of the high incidence of these symptoms in pregnancy and their impact on pregnancy outcomes, getting treatment is of the utmost importance. A guided internet self-help intervention may help to provide more women with appropriate treatment.ObjectiveThis study aimed to examine the effectiveness of a guided internet intervention (MamaKits online) for pregnant women with moderate to severe symptoms of anxiety or depression. Assessments took place before randomization (T0), post intervention (T1), at 36 weeks of pregnancy (T2), and 6 weeks postpartum (T3). We also explored effects on perinatal child outcomes 6 weeks postpartum.MethodsThis randomized controlled trial included pregnant women (<30 weeks) with depressive symptoms above threshold (ie, Center for Epidemiological Studies Depression scale [CES-D] >16) or anxiety above threshold (ie, Hospital Anxiety and Depression Scale-Anxiety subscale [HADS-A] >8) or both of them. Participants were recruited via general media and flyers in prenatal care waiting rooms or via obstetricians and midwives. After initial assessment, women were randomized to (1) MamaKits online in addition to treatment as usual or (2) treatment as usual (control condition). MamaKits online is a 5-week guided internet intervention based on problem solving treatment. Guidance was was provided by trained students pursuing a Master's in Psychology. Outcomes were based on a Web-based self-report. Women in the control condition were allowed to receive the intervention after the last assessment (6 weeks postpartum).ResultsOf the 159 included women, 79 were randomized to MamaKits online, 47% (79/37) of whom completed the intervention. Both groups showed a substantial decrease in affective symptoms on the CES-D, HADS-A, and Edinburgh Postnatal Depression Scale over time. In the intervention group, affective symptoms decreased more than that in the control group, but between-group effect sizes were small to medium (Cohen d at T3=0.45, 0.21, and 0.23 for the 3 questionnaires, respectively) and statistically not significant. Negative perinatal child outcomes did not differ between the 2 groups (χ21=0.1; P=.78). Completer analysis revealed no differences in outcome between the treatment completers and the control group. The trial was terminated early for reasons of futility based on the results of an interim analysis, which we performed because of inclusion problems.ConclusionsOur study did show a significant reduction in affective symptoms in both groups, but the differences in reduction of affective symptoms between the intervention and control groups were not significant. There were also no differences in perinatal child outcomes. Future research should examine for which women these interventions might be effective or if changes in the internet intervention might make the intervention more effective.Trial RegistrationNetherlands Trial Register NL4162; https://tinyurl.com/sdckjek

Guided internet interventions for depression: impact of sociodemographic factors on treatment outcome in Indonesia

Depression is the leading cause of disability worldwide, but an alarming treatment gap exists, especially in lower- and middle income countries (LMIC), where people are exposed to many societal and sociodemographic risk factors. As internet access increases in LMIC, online interventions could decrease this gap, especially when shown suitable for all demographics, including vulnerable groups with low socioeconomic status (SES). We used mixed-model analysis to explore moderating effects of sociodemographic factors (age, sex, education level, SES and urbanicity) on treatment effect in a recent trial in Indonesia, comparing guided online behavioral activation versus online psychoeducation only for depression, in 313 participants from (sub)urban areas. Outcome measures were self-reported Patient Health Questionnaire 9 (PHQ-9) and Inventory of Depressive Symptomatology (IDS-SR). Without correction for multiple testing, we found urbanicity to moderate treatment effect, with stronger treatment effect in suburban relative to urban participants (IDS-SR 24 weeks past baseline, p = 0.04) and a trend towards moderation by SES, with stronger treatment effect in low SES groups (PHQ-9 10 weeks past baseline, p = 0.07). These exploratory results suggest online treatments are a promising mental health intervention for all demographics in a (sub)urban LMIC setting, but hypothesis-testing studies including rural participants are warranted.

The Working Alliance Inventory for guided Internet interventions (WAI-I).

This study analyses the psychometric properties of the Working Alliance Inventory adapted for guided Internet interventions (WAI-I). We drew on the data set from a multicenter trial that examined a guided Internet intervention (deprexis) for patients with mild to moderate depression. Two hundred twenty-three patients completed the WAI-I and the Patient Satisfaction Questionnaire (ZUF-8) at posttreatment, and the Attitudes toward Psychological Online-Interventions Questionnaire (APOI) at baseline. We ran confirmatory factor analyses (CFA) testing two- and three-factor solutions and calculated Cronbach's α, item-total correlations, and correlations of the WAI-I with APOI and ZUF-8. The results suggested a two-factor solution, with a very good model fit and evidence of factor independency, adequate internal consistency, and external validity for the complete scale and the sub-scales. The WAI-I showed as a reliable and valid instrument to capture alliance in guided Internet interventions, which might facilitate process-outcome research and treatment development efforts.

Cost-utility of a guided Internet-based intervention in comparison with attention only for people with HIV and depressive symptoms: A randomized controlled trial

ObjectiveThe aim of this study was to evaluate the cost-utility of a guided Internet-based intervention for people living with HIV and depressive symptoms, compared to attention only (control condition). It was previously found that the intervention was effective in decreasing depressive symptoms, compared to the control group. MethodsThis economic evaluation was conducted alongside a randomized controlled trial. The control group received attention only and was put on a waiting list. Quality adjusted life years were calculated over six months. The study was conducted from a societal perspective and included intervention costs, healthcare costs, and non-healthcare costs. Participants completed a pretest, a post-test after two to three months, and a second post-test after six months. Cost-utility acceptability curves were constructed and two sensitivity analyses were conducted. ResultsNo differences between the intervention and the control group were found in quality adjusted life years and total societal costs. The results indicate that the intervention is likely to be cost-effective, compared to attention only. The findings of the sensitivity analyses point in the same direction. ConclusionMore research with larger samples is necessary to confirm the findings. The outcomes of this study may inform policy makers to decide which interventions will be included in policies. The guided Internet intervention may improve psychological care for people living with HIV and depressive symptoms, against low costs. Trial registrationNederlands Trialregister NTR5407, September 11, 2015.

Public Attitudes Toward Guided Internet-Based Therapies: Web-Based Survey Study.

BackgroundInternet interventions have been proposed to improve the accessibility and use of evidence-based psychological treatments. However, little is known about attitudes toward such treatments, which can be an important barrier to their use.ObjectiveThis study aimed to (1) determine attitudes toward guided internet interventions, (2) assess its acceptability compared with other internet-based formats, and (3) explore predictors of acceptance.MethodsA convenience-sample Web-based survey (N=646) assessed attitudes toward guided internet therapies (ie, perceived usefulness and helpfulness, and advantage relative to face-to-face therapy), preferences for delivery modes (ie, e-preference: guided internet interventions, unguided internet interventions, or videoconferencing psychotherapy), and potential predictors of attitudes and preferences: sociodemographics, help-seeking–related variables, attachment style, and perceived stress.ResultsAlthough most participants perceived internet interventions as useful or helpful (426/646, 65.9%), a few indicated their advantage relative to face-to-face therapy (56/646, 8.7%). Most participants preferred guided internet interventions (252/646, 39.0%) over videoconferencing psychotherapy (147/646, 22.8%), unguided internet interventions (124/646, 19.2%), and not using internet interventions (121/646, 18.8%; missing data: 1/646, 0.2%). Attachment avoidance and stress were related to e-preference (all P<.05). Moreover, preference for therapist-guided internet interventions was higher for individuals who were aware of internet-based treatment (χ26=12.8; P=.046).ConclusionsParticipants assessed therapist-guided internet interventions as helpful, but not equivalent to face-to-face therapies. The vast majority (523/646, 81.0%) of the participants were potentially willing to use internet-based approaches. In lieu of providing patients with only one specific low-intensity treatment, implementation concepts should offer several options, including guided internet interventions, but not limited to them. Conversely, our results also indicate that efforts should focus on increasing public knowledge about internet interventions, including information about their effectiveness, to promote acceptance and uptake.

Economic evaluations of Internet interventions for mental health: a systematic review.

Internet interventions are assumed to be cost-effective. However, it is unclear how strong this evidence is, and what the quality of this evidence is. A comprehensive literature search (1990-2014) in Medline, EMBASE, the Cochrane Central Register of Controlled Trials, NHS Economic Evaluations Database, NHS Health Technology Assessment Database, Office of Health Economics Evaluations Database, Compendex and Inspec was conducted. We included economic evaluations alongside randomized controlled trials of Internet interventions for a range of mental health symptoms compared to a control group, consisting of a psychological or pharmaceutical intervention, treatment-as-usual (TAU), wait-list or an attention control group. Of the 6587 abstracts identified, 16 papers met the inclusion criteria. Nine studies featured a societal perspective. Results demonstrated that guided Internet interventions for depression, anxiety, smoking cessation and alcohol consumption had favourable probabilities of being more cost-effective when compared to wait-list, TAU, group cognitive behaviour therapy (CBGT), attention control, telephone counselling or unguided Internet CBT. Unguided Internet interventions for suicide prevention, depression and smoking cessation demonstrated cost-effectiveness compared to TAU or attention control. In general, results from cost-utility analyses using more generic health outcomes (quality of life) were less favourable for unguided Internet interventions. Most studies adhered reasonably to economic guidelines. Results of guided Internet interventions being cost-effective are promising with most studies adhering to publication standards, but more economic evaluations are needed in order to determine cost-effectiveness of Internet interventions compared to the most cost-effective treatment currently available.

Guided Internet-delivered cognitive behavioural treatment for insomnia: a randomized trial

Insomnia is a prevalent problem with a high burden of disease (e.g. reduced quality of life, reduced work capacity) and a high co-morbidity with other mental and somatic disorders. Cognitive behavioural therapy (CBT) is effective in the treatment of insomnia but is seldom offered. CBT delivered through the Internet might be a more accessible alternative. In this study we examined the effectiveness of a guided Internet-delivered CBT for adults with insomnia using a randomized controlled trial (RCT). A total of 118 patients, recruited from the general population, were randomized to the 6-week guided Internet intervention (n = 59) or to a wait-list control group (n = 59). Patients filled out an online questionnaire and a 7-day sleep diary before (T0) and after (T1) the 6-week period. The intervention group received a follow-up questionnaire 3 months after baseline (T2). Almost three-quarters (72.9%) of the patients completed the whole intervention. Intention-to-treat (ITT) analysis showed that the treatment had statistically significant medium to large effects (p < 0.05; Cohen's d between 0.40 and 1.06), and resulted more often in clinically relevant changes, on all sleep and secondary outcomes with the exception of sleep onset latency (SOL) and number of awakenings (NA). There was a non-significant difference in the reduction in sleep medication between the intervention (a decrease of 6.8%) and control (an increase of 1.8%) groups (p = 0.20). Data on longer-term effects were inconclusive. This study adds to the growing body of literature that indicates that guided CBT for insomnia can be delivered through the Internet. Patients accept the format and their sleep improves.